Patent Application
20160243172
This application includes a Sequence Listing submitted electronically as a text file named 25969PCT_sequencelisting.txt, created on Feb. 2, 2014, with a size of 4,100,000 bytes. The sequence listing is incorporated by reference.
Mammals are colonized by microbes in the gastrointestinal (GI) tract, on the skin, and in other epithelial and tissue niches such as the oral cavity, eye surface and vagina. The gastrointestinal tract harbors an abundant and diverse microbial community. It is a complex system, providing an environment or niche for a community of many different species or organisms, including diverse strains of bacteria. Hundreds of different species may form a commensal community in the GI tract in a healthy person, and this complement of organisms evolves from the time of birth to ultimately form a functionally mature microbial population by about 3 years of age. Interactions between microbial strains in these populations and between microbes and the host, e.g. the host immune system, shape the community structure, with availability of and competition for resources affecting the distribution of microbes. Such resources may be food, location and the availability of space to grow or a physical structure to which the microbe may attach. For example, host diet is involved in shaping the GI tract flora.
A healthy microbiota provides the host with multiple benefits, including colonization resistance to a broad spectrum of pathogens, essential nutrient biosynthesis and absorption, and immune stimulation that maintains a healthy gut epithelium and an appropriately controlled systemic immunity. In settings of ‘dysbiosis’ or disrupted symbiosis, microbiota functions can be lost or deranged, resulting in increased susceptibility to pathogens, altered metabolic profiles, or induction of proinflammatory signals that can result in local or systemic inflammation or autoimmunity. Thus, the intestinal microbiota plays a significant role in the pathogenesis of many diseases and disorders, including a variety of pathogenic infections of the gut. For instance, subjects become more susceptible to pathogenic infections when the normal intestinal microbiota has been disturbed due to use of broad-spectrum antibiotics. Many of these diseases and disorders are chronic conditions that significantly decrease a subject's quality of life and can be ultimately fatal.
Manufacturers of probiotics have asserted that their preparations of bacteria promote mammalian health by preserving the natural microflora in the GI tract and reinforcing the normal controls on aberrant immune responses. See, e.g., U.S. Pat. No. 8,034,601. Probiotics, however, have been limited to a very narrow group of genera and a correspondingly limited number of species; as such, they do not adequately replace the missing natural microflora nor correct dysbioses of the GI tract in many situations. Additionally, such probiotics are insufficient to prevent, reduce or treat a pathogenic bacterial infection of the gastrointestinal tract, such as by Clostridium difficile, by reducing the population of the gastrointestinal tract by the pathogenic bacteria.
Thus practitioners have a need for methods and compositions for preventing or treating pathogenic bacterial infections. We have designed bacterial compositions of isolated bacterial strains with a plurality of beneficial properties, including the ability to metabolize nutrients at rates above and at concentrations below those of pathogenic bacteria, based on our understanding of those bacterial strains and our analysis of the properties that enhance the utility and commercialization of a microbial composition.
Therefore, in response to the need for durable, efficient, and effective compositions and methods for prevention, diagnosis and/or treatment of gastrointestinal diseases by way of restoring or enhancing microbiota functions, we address these and other shortcomings of the prior art by providing compositions and methods for treating subjects.
The present invention demonstrates effective compositions for and methods of preventing or reducing pathogenic bacterial growth, proliferation, and/or colonization, whereby bacterial compositions that contain one or more types of non-pathogenic bacteria are introduced into the gastrointestinal tract and effectively compete with pathogenic bacteria for monomeric or polymeric carbohydrate nutrients, and/or amino acid nutrients, and/or vitamin nutrients. Alternatively, organisms may prevent disease by metabolizing available germinants utilized by the pathogenic bacteria and prevent pathogenic spore germination. Alternatively, competition for overlapping nutrients among two or more types of non-pathogenic bacteria that are introduced into the gastrointestinal tract may leads to secretion of molecules inhibitory to a pathogen and/or pathobiont by one or multiple of the types of introduced non-pathogenic bacteria. In certain instances, the inhibitory compound may be a toxin, antibiotic, or a bacterocin (see Chiuchiolo et al. Growth-phase-dependent expression of the cyclopeptide antibiotic microcin J25 J Bacterial. 2001 March; 183(5):1755-64).
The figures depict various embodiments of the present invention for purposes of illustration only. One skilled in the art will readily recognize from the following discussion that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the invention described herein.
“Microbiota” refers to the community of microorganisms that occur (sustainably or transiently) in and on an animal subject, typically a mammal such as a human, including eukaryotes, archaea, bacteria, and viruses (including bacterial viruses i.e., phage).
“Microbiome” refers to the genetic content of the communities of microbes that live in and on the human body, both sustainably and transiently, including eukaryotes, archaea, bacteria, and viruses (including bacterial viruses (i.e., phage)), wherein “genetic content” includes genomic DNA, RNA such as ribosomal RNA, the epigenome, plasmids, and all other types of genetic information.
“Microbial Carriage” or simply “Carriage” refers to the population of microbes inhabiting a niche within or on humans. Carriage is often defined in terms of relative abundance. For example, OTU1 comprises 60% of the total microbial carriage, meaning that OTU1 has a relative abundance of 60% compared to the other OTUs in the sample from which the measurement was made. Carriage is most often based on genomic sequencing data where the relative abundance or carriage of a single OTU or group of OTUs is defined by the number of sequencing reads that are assigned to that OTU/s relative to the total number of sequencing reads for the sample.
“Microbial Augmentation” or simply “augmentation” refers to the establishment or significant increase of a population of microbes that are (i) absent or undetectable (as determined by the use of standard genomic and microbiological techniques) from the administered therapeutic microbial composition, (ii) absent, undetectable, or present at low frequencies in the host niche (as example: gastrointestinal tract, skin, anterior-nares, or vagina) before the delivery of the microbial composition, and (iii) are found after the administration of the microbial composition or significantly increase, for instance 2-fold, 5-fold, 1×102, 1×103, 1×104, 1×105, 1×106, 1×107, or greater than 1×108, in cases where they were present at low frequencies. The microbes that comprise an augmented ecology can be derived from exogenous sources such as food and the environment, or grow out from micro-niches within the host where they reside at low frequency.
The administration of the therapeutic microbial composition induces an environmental shift in the target niche that promotes favorable conditions for the growth of these commensal microbes. In the absence of treatment with a therapeutic microbial composition, the host can be constantly exposed to these microbes; however, sustained growth and the positive health effects associated with the stable population of increased levels of the microbes comprising the augmented ecology are not observed.
“Microbial Engraftment” or simply “engraftment” refers to the establishment of OTUs comprising a therapeutic microbial composition in a target niche that are absent in the treated host prior to treatment. The microbes that comprise the engrafted ecology are found in the therapeutic microbial composition and establish as constituents of the host microbial ecology upon treatment. Engrafted OTUs can establish for a transient period of time, or demonstrate long-term stability in the microbial ecology that populates the host post treatment with a therapeutic microbial composition. The engrafted ecology can induce an environmental shift in the target niche that promotes favorable conditions for the growth of commensal microbes capable of catalyzing a shift from a dysbiotic ecology to one representative of a health state.
“Ecological Niche” or simply “Niche” refers to the ecological space in which a an organism or group of organisms occupies. Niche describes how an organism or population or organisms responds to the distribution of resources, physical parameters (e.g., host tissue space) and competitors (e.g., by growing when resources are abundant, and when predators, parasites and pathogens are scarce) and how it in turn alters those same factors (e.g., limiting access to resources by other organisms, acting as a food source for predators and a consumer of prey).
“Dysbiosis” refers to a state of the microbiota or microbiome of the gut or other body area, including mucosal or skin surfaces in which the normal diversity and/or function of the ecological network is disrupted. Any disruption from the preferred (e.g., ideal) state of the microbiota can be considered a dysbiosis, even if such dysbiosis does not result in a detectable decrease in health. This state of dysbiosis may be unhealthy, it may be unhealthy under only certain conditions, or it may prevent a subject from becoming healthier. Dysbiosis may be due to a decrease in diversity, the overgrowth of one or more pathogens or pathobionts, symbiotic organisms able to cause disease only when certain genetic and/or environmental conditions are present in a patient, or the shift to an ecological network that no longer provides a beneficial function to the host and therefore no longer promotes health.
The term “pathobiont” refer to specific bacterial species found in healthy hosts that may trigger immune-mediated pathology and/or disease in response to certain genetic or environmental factors. Chow et al., (2011) Curr Op Immunol. Pathobionts of the intestinal microbiota and inflammatory disease. 23: 473-80. Thus, a pathobiont is a pathogen that is mechanistically distinct from an acquired infectious organism. Thus, the term “pathogen” includes both acquired infectious organisms and pathobionts.
The terms “pathogen”, “pathobiont” and “pathogenic” in reference to a bacterium or any other organism or entity includes any such organism or entity that is capable of causing or affecting a disease, disorder or condition of a host organism containing the organism or entity.
“Phylogenetic tree” refers to a graphical representation of the evolutionary relationships of one genetic sequence to another that is generated using a defined set of phylogenetic reconstruction algorithms (e.g. parsimony, maximum likelihood, or Bayesian). Nodes in the tree represent distinct ancestral sequences and the confidence of any node is provided by a bootstrap or Bayesian posterior probability, which measures branch uncertainty.
Operational taxonomic units,” “OTU” (or plural, “OTUs”) refer to a terminal leaf in a phylogenetic tree and is defined by a nucleic acid sequence, e.g., the entire genome, or a specific genetic sequence, and all sequences that share sequence identity to this nucleic acid sequence at the level of species. In some embodiments the specific genetic sequence may be the 16S sequence or a portion of the 16S sequence. In other embodiments, the entire genomes of two entities are sequenced and compared. In another embodiment, select regions such as multilocus sequence tags (MLST), specific genes, or sets of genes may be genetically compared. In 16S embodiments, OTUs that share ≧97% average nucleotide identity across the entire 16S or some variable region of the 16S are considered the same OTU (see e.g. Claesson M J, Wang Q, O'Sullivan O, Greene-Diniz R, Cole J R, Ross R P, and O'Toole P W. 2010. Comparison of two next-generation sequencing technologies for resolving highly complex microbiota composition using tandem variable 16S rRNA gene regions. Nucleic Acids Res 38: e200. Konstantinidis K T, Ramette A, and Tiedje J M. 2006. The bacterial species definition in the genomic era. Philos Trans R Soc Lond B Biol Sci 361: 1929-1940.). In embodiments involving the complete genome, MLSTs, specific genes, or sets of genes OTUs that share ≧95% average nucleotide identity are considered the same OTU (see e.g. Achtman M, and Wagner M. 2008. Microbial diversity and the genetic nature of microbial species. Nat. Rev. Microbiol. 6: 431-440. Konstantinidis K T, Ramette A, and Tiedje J M. 2006. The bacterial species definition in the genomic era. Philos Trans R Soc Lond B Biol Sci 361: 1929-1940.). OTUs are frequently defined by comparing sequences between organisms. Generally, sequences with less than 95% sequence identity are not considered to form part of the same OTU. OTUs may also be characterized by any combination of nucleotide markers or genes, in particular highly conserved genes (e.g., “house-keeping” genes), or a combination thereof. Such characterization employs, e.g., WGS data or a whole genome sequence.
“Residual habitat products” refers to material derived from the habitat for microbiota within or on a human or animal. For example, microbiota live in feces in the gastrointestinal tract, on the skin itself, in saliva, mucus of the respiratory tract, or secretions of the genitourinary tract (i.e., biological matter associated with the microbial community). Substantially free of residual habitat products means that the bacterial composition no longer contains the biological matter associated with the microbial environment on or in the human or animal subject and is 100% free, 99% free, 98% free, 97% free, 96% free, or 95% free of any contaminating biological matter associated with the microbial community. Residual habitat products can include abiotic materials (including undigested food) or it can include unwanted microorganisms. Substantially free of residual habitat products may also mean that the bacterial composition contains no detectable cells from a human or animal and that only microbial cells are detectable. In one embodiment, substantially free of residual habitat products may also mean that the bacterial composition contains no detectable viral (including bacterial viruses (i.e., phage)), fungal, mycoplasmal contaminants. In another embodiment, it means that fewer than 1×10-2%, 1×10-3%, 1×10-4%, 1×10-5%, 1×10-6%, 1×10-7%, 1×10-8 of the viable cells in the bacterial composition are human or animal, as compared to microbial cells. There are multiple ways to accomplish this degree of purity, none of which are limiting. Thus, contamination may be reduced by isolating desired constituents through multiple steps of streaking to single colonies on solid media until replicate (such as, but not limited to, two) streaks from serial single colonies have shown only a single colony morphology. Alternatively, reduction of contamination can be accomplished by multiple rounds of serial dilutions to single desired cells (e.g., a dilution of 10-8 or 10-9), such as through multiple 10-fold serial dilutions. This can further be confirmed by showing that multiple isolated colonies have similar cell shapes and Gram staining behavior. Other methods for confirming adequate purity include genetic analysis (e.g. PCR, DNA sequencing), serology and antigen analysis, enzymatic and metabolic analysis, and methods using instrumentation such as flow cytometry with reagents that distinguish desired constituents from contaminants.
“Glade” refers to the OTUs or members of a phylogenetic tree that are downstream of a statistically valid node in a phylogenetic tree. The clade comprises a set of terminal leaves in the phylogenetic tree that is a distinct monophyletic evolutionary unit and that share some extent of sequence similarity.
In microbiology, “16S sequencing” or “16S-rRNA” or “16S” refers to sequence derived by characterizing the nucleotides that comprise the 16S ribosomal RNA gene(s). The bacterial 16S rDNA is approximately 1500 nucleotides in length and is used in reconstructing the evolutionary relationships and sequence similarity of one bacterial isolate to another using phylogenetic approaches. 16S sequences are used for phylogenetic reconstruction as they are in general highly conserved, but contain specific hypervariable regions that harbor sufficient nucleotide diversity to differentiate genera and species of most bacteria.
The “V1-V9 regions” of the 16S rRNA refers to the first through ninth hypervariable regions of the 16S rRNA gene that are used for genetic typing of bacterial samples. These regions in bacteria are defined by nucleotides 69-99, 137-242, 433-497, 576-682, 822-879, 986-1043, 1117-1173, 1243-1294 and 1435-1465 respectively using numbering based on the E. coli system of nomenclature. Brosius et al., Complete nucleotide sequence of a 16S ribosomal RNA gene from Escherichia coli, PNAS 75(10):4801-4805 (1978). In some embodiments, at least one of the V1, V2, V3, V4, V5, V6, V7, V8, and V9 regions are used to characterize an OTU. In one embodiment, the V1, V2, and V3 regions are used to characterize an OTU. In another embodiment, the V3, V4, and V5 regions are used to characterize an OTU. In another embodiment, the V4 region is used to characterize an OTU. A person of ordinary skill in the art can identify the specific hypervariable regions of a candidate 16S rRNA by comparing the candidate sequence in question to a reference sequence and identifying the hypervariable regions based on similarity to the reference hypervariable regions, or alternatively, one can employ Whole Genome Shotgun (WGS) sequence characterization of microbes or a microbial community.
The term “subject” refers to any animal subject including humans, laboratory animals (e.g., primates, rats, mice), livestock (e.g., cows, sheep, goats, pigs, turkeys, and chickens), and household pets (e.g., dogs, cats, and rodents). The subject may be suffering from a dysbiosis, including, but not limited to, an infection due to a gastrointestinal pathogen or may be at risk of developing or transmitting to others an infection due to a gastrointestinal pathogen.
The term “phenotype” refers to a set of observable characteristics of an individual entity. As example an individual subject may have a phenotype of “health” or “disease”. Phenotypes describe the state of an entity and all entities within a phenotype share the same set of characteristics that describe the phenotype. The phenotype of an individual results in part, or in whole, from the interaction of the entities genome and/or microbiome with the environment.
The term “Network Ecology” refers to a consortium of OTUs that co-occur in some number of subjects. As used herein, a “network” is defined mathematically by a graph delineating how specific nodes (i.e. OTUs) and edges (connections between specific OTUs) relate to one another to define the structural ecology of a consortium of OTUs. Any given Network Ecology will possess inherent phylogenetic diversity and functional properties. A Network Ecology can also be defined in terms of function where for example the nodes would be comprised of elements such as, but not limited to, enzymes, clusters of orthologous groups (COGS; http://www.ncbi.nlm.nih.gov/books/NBK21090/), or KEGG pathways (www.genome.jp/kegg/).
The terms “Network Class”, “Core Network” and “Core Network Ecology” refer to a group of network ecologies that in general are computationally determined to comprise ecologies with similar phylogenetic and/or functional characteristics. A Core Network therefore contains important biological features, defined either phylogenetically or functionally, of a group (i.e., a cluster) of related network ecologies. One representation of a Core Network Ecology is a designed consortium of microbes, typically non-pathogenic bacteria, that represents core features of a set of phylogenetically or functionally related network ecologies seen in many different subjects. In many occurrences, a Core Network, while designed as described herein, exists as a Network Ecology observed in one or more subjects. Core Network ecologies are useful for reversing or reducing a dysbiosis in subjects where the underlying, related Network Ecology has been disrupted.
The term “Keystone OTU” refers to one or more OTUs that are common to many network ecologies and are members of networks ecologies that occur in many subjects (i.e. are pervasive). Due to the ubiquitous nature of Keystone OTUs, they are central to the function of network ecologies in healthy subjects and are often missing or at reduced levels in subjects with disease. Keystone OTUs may exist in low, moderate, or high abundance in subjects.
The term “non-Keystone OTU” refers to an OTU that is observed in a Network Ecology and is not a keystone OTU.
The term “Phylogenetic Diversity” refers to the biodiversity present in a given Network Ecology or Core Network Ecology based on the OTUs that comprise the network. Phylogenetic diversity is a relative term, meaning that a Network Ecology or Core Network that is comparatively more phylogenetically diverse than another network contains a greater number of unique species, genera, and taxonomic families. Uniqueness of a species, genera, or taxonomic family is generally defined using a phylogenetic tree that represents the genetic diversity all species, genera, or taxonomic families relative to one another. In another embodiment phylogenetic diversity may be measured using the total branch length or average branch length of a phylogenetic tree.
A “spore” or a population of “spores” includes bacteria (or other single-celled organisms) that are generally viable, more resistant to environmental influences such as heat and bacteriocidal agents than vegetative forms of the same bacteria, and typically capable of germination and out-growth. “Spore-formers” or bacteria “capable of forming spores” are those bacteria containing the genes and other necessary abilities to produce spores under suitable environmental conditions.
A “spore population” refers to a plurality of spores present in a composition. Synonymous terms used herein include spore composition, spore preparation, ethanol treated spore fraction and spore ecology. A spore population may be purified from a fecal donation, e.g. via ethanol or heat treatment, or a density gradient separation or any combination of methods described herein to increase the purity, potency and/or concentration of spores in a sample. Alternatively, a spore population may be derived through culture methods starting from isolated spore former species or spore former OTUs or from a mixture of such species, either in vegetative or spore form.
In one embodiment, the spore preparation comprises spore forming species wherein residual non-spore forming species have been inactivated by chemical or physical treatments including ethanol, detergent, heat, sonication, and the like; or wherein the non-spore forming species have been removed from the spore preparation by various separations steps including density gradients, centrifugation, filtration and/or chromatography; or wherein inactivation and separation methods are combined to make the spore preparation. In yet another embodiment, the spore preparation comprises spore forming species that are enriched over viable non-spore formers or vegetative forms of spore formers. In this embodiment, spores are enriched by 2-fold, 5-fold, 10-fold, 50-fold, 100-fold, 1000-fold, 10,000-fold or greater than 10,000-fold compared to all vegetative forms of bacteria. In yet another embodiment, the spores in the spore preparation undergo partial germination during processing and formulation such that the final composition comprises spores and vegetative bacteria derived from spore forming species.
The term “isolated” encompasses a bacterium or other entity or substance that has been (1) separated from at least some of the components with which it was associated when initially produced (whether in nature or in an experimental setting), and/or (2) produced, prepared, purified, and/or manufactured by the hand of man. Isolated bacteria include those bacteria that are cultured, even if such cultures are not monocultures. Isolated bacteria may be separated from at least about 10%, about 20%, about 30%, about 40%, about 50%, about 60%, about 70%, about 80%, about 90%, or more of the other components with which they were initially associated. In some embodiments, isolated bacteria are more than about 80%, about 85%, about 90%, about 91%, about 92%, about 93%, about 94%, about 95%, about 96%, about 97%, about 98%, about 99%, or more than about 99% pure. As used herein, a substance is “pure” if it is substantially free of other components. The terms “purify,” “purifying” and “purified” refer to a bacterium or other material that has been separated from at least some of the components with which it was associated either when initially produced or generated (e.g., whether in nature or in an experimental setting), or during any time after its initial production. A bacterium or a bacterial population may be considered purified if it is isolated at or after production, such as from a material or environment containing the bacterium or bacterial population, or by passage through culture, and a purified bacterium or bacterial population may contain other materials up to about 10%, about 20%, about 30%, about 40%, about 50%, about 60%, about 70%, about 80%, about 90%, or above about 90% and still be considered “isolated.” In some embodiments, purified bacteria and bacterial populations are more than about 80%, about 85%, about 90%, about 91%, about 92%, about 93%, about 94%, about 95%, about 96%, about 97%, about 98%, about 99%, or more than about 99% pure. In the instance of bacterial compositions provided herein, the one or more bacterial types present in the composition can be independently purified from one or more other bacteria produced and/or present in the material or environment containing the bacterial type. Bacterial compositions and the bacterial components thereof are generally purified from residual habitat products.
“Inhibition” of a pathogen encompasses the inhibition of any desired function or activity of the bacterial compositions of the present invention. Demonstrations of pathogen inhibition, such as decrease in the growth of a pathogenic bacterium or reduction in the level of colonization of a pathogenic bacterium are provided herein and otherwise recognized by one of ordinary skill in the art. Inhibition of a pathogenic bacterium's “growth” may include inhibiting the increase in size of the pathogenic bacterium and/or inhibiting the proliferation (or multiplication) of the pathogenic bacterium. Inhibition of colonization of a pathogenic bacterium may be demonstrated by measuring the amount or burden of a pathogen before and after a treatment. An “inhibition” or the act of “inhibiting” includes the total cessation and partial reduction of one or more activities of a pathogen, such as growth, proliferation, colonization, and function.
A “germinant” is a material or composition or physical-chemical process capable of inducing vegetative growth of a bacterium that is in a dormant spore form, or group of bacteria in the spore form, either directly or indirectly in a host organism and/or in vitro.
A “sporulation induction agent” is a material or physical-chemical process that is capable of inducing sporulation in a bacterium, either directly or indirectly, in a host organism and/or in vitro.
To “increase production of bacterial spores” includes an activity or a sporulation induction agent. “Production” includes conversion of vegetative bacterial cells into spores and augmentation of the rate of such conversion, as well as decreasing the germination of bacteria in spore form, decreasing the rate of spore decay in vivo, or ex vivo, or to increasing the total output of spores (e.g. via an increase in volumetric output of fecal material).
The “colonization” of a host organism includes the non-transitory residence of a bacterium or other microscopic organism. As used herein, “reducing colonization” of a host subject's gastrointestinal tract (or any other microbiotal niche) by a pathogenic bacterium includes a reduction in the residence time of the pathogen in the gastrointestinal tract as well as a reduction in the number (or concentration) of the pathogen in the gastrointestinal tract or adhered to the luminal surface of the gastrointestinal tract. Measuring reductions of adherent pathogens may be demonstrated, e.g., by a biopsy sample, or reductions may be measured indirectly, e.g., by measuring the pathogenic burden in the stool of a mammalian host.
A “combination” of two or more bacteria includes the physical co-existence of the two bacteria, either in the same material or product or in physically connected products, as well as the temporal co-administration or co-localization of the two bacteria.
A “cytotoxic” activity or bacterium includes the ability to kill a bacterial cell, such as a pathogenic bacterial cell. A “cytostatic” activity or bacterium includes the ability to inhibit, partially or fully, growth, metabolism, and/or proliferation of a bacterial cell, such as a pathogenic bacterial cell.
To be free of “non-comestible products” means that a bacterial composition or other material provided herein does not have a substantial amount of a non-comestible product, e.g., a product or material that is inedible, harmful or otherwise undesired in a product suitable for administration, e.g., oral administration, to a human subject. Non-comestible products are often found in preparations of bacteria from the prior art.
As used herein the term “vitamin” is understood to include any of various fat-soluble or water-soluble organic substances (non-limiting examples include vitamin A, Vitamin B1 (thiamine), Vitamin B2 (riboflavin), Vitamin B3 (niacin or niacinamide), Vitamin B5 (pantothenic acid), Vitamin B6 (pyridoxine, pyridoxal, or pyridoxamine, or pyridoxine hydrochloride), Vitamin B7 (biotin), Vitamin B9 (folic acid), and Vitamin B12 (various cobalamins; commonly cyanocobalamin in vitamin supplements), vitamin C, vitamin D, vitamin E, vitamin K, K1 and K2 (i.e. MK-4, MK-7), folic acid and biotin) essential in minute amounts for normal growth and activity of the body and obtained naturally from plant and animal foods or synthetically made, pro-vitamins, derivatives, analogs.
As used herein, the term “minerals” is understood to include boron, calcium, chromium, copper, iodine, iron, magnesium, manganese, molybdenum, nickel, phosphorus, potassium, selenium, silicon, tin, vanadium, zinc, or combinations thereof.
As used herein, the term “antioxidant” is understood to include any one or more of various substances such as beta-carotene (a vitamin A precursor), vitamin C, vitamin E, and selenium) that inhibit oxidation or reactions promoted by Reactive Oxygen Species (“ROS”) and other radical and non-radical species. Additionally, antioxidants are molecules capable of slowing or preventing the oxidation of other molecules. Non-limiting examples of antioxidants include astaxanthin, carotenoids, coenzyme Q10 (“CoQ10”), flavonoids, glutathione, Goji (wolfberry), hesperidin, lactowolfberry, lignan, lutein, lycopene, polyphenols, selenium, vitamin A, vitamin C, vitamin E, zeaxanthin, or combinations thereof.
“Fermentation products” are compounds that are produced by bacteria or bacterial populations through carbohydrate metabolic processes. These metabolites include but are not limited to lactate, butyrate, acetate, ethanol, succinate, formate.
A substance that organisms use to live and grow. In this context, it includes but is not limited to vitamins, minerals, antioxidant, fermentation products, cofactors, proteins, amino acids, nucleotides, nucleic acids, lipids, carbohydrates and metabolic products of these molecules.
Provided are bacteria and combinations of bacteria of the human gut microbiota with the capacity to meaningfully provide functions of a healthy microbiota when administered to mammalian hosts. Without being limited to a specific mechanism, it is thought that such compositions inhibit the growth, proliferation, germination, and/or colonization of one or a plurality of pathogenic bacteria in the dysbiotic microbiotal niche, so that a healthy, diverse and protective microbiota colonizes and populates the intestinal lumen to establish or reestablish ecological control over pathogens or potential pathogens (e.g., some bacteria are pathogenic bacteria only when present in a dysbiotic environment). Inhibition of pathogens includes those pathogens such as C. difficile, Salmonella spp., enteropathogenic E coli, multi-drug resistant bacteria such as Klebsiella, and E. coli, Carbapenem-resistent Enterobacteriaceae (CRE), extended spectrum beta-lactam resistant Enterococci (ESBL), and vancomycin-resistant Enterococci (VRE).
As used herein, a “type” or more than one “types” of bacteria may be differentiated at the genus level, the species, level, the sub-species level, the strain level or by any other taxonomic method, as described herein and otherwise known in the art.
The present invention demonstrates effective methods of preventing or reducing pathogenic bacterial growth, proliferation, and/or colonization, whereby bacterial compositions that contain one or more types of non-pathogenic bacteria are introduced into the gastrointestinal tract and effectively compete with pathogenic bacteria for monomeric or polymeric carbohydrate nutrients, and/or amino acid nutrients, and/or vitamin nutrients. Alternatively, organisms may prevent disease by metabolizing available germinants utilized by the pathogenic bacteria and prevent pathogenic spore germination. Alternatively, competition for overlapping nutrients among two or more types of non-pathogenic bacteria that are introduced into the gastrointestinal tract may leads to secretion of molecules inhibitory to a pathogen and/or pathobiont by one or multiple of the types of introduced non-pathogenic bacteria. In certain instances, the inhibitory compound may be a toxin, antibiotic, or a bacterocin (see Chiuchiolo et al. Growth-phase-dependent expression of the cyclopeptide antibiotic microcin J25 J Bacterial. 2001 March; 183(5):1755-64).
In one instance, the enteric bacterium Clostridium difficile (C. difficile) is an opportunistic pathogen whose infection frequently follows antibiotic treatment. Numerous investigations in animal models as well as clinical observations have demonstrated that the normal gut microbiota is capable of exerting ecological control over C. difficile that prevents it from colonizing the gut, and that this control is often perturbed following antibiotic treatment. One notable effect of antibiotic treatment is to change in the composition and availability nutrients in the gastrointestinal tract as a result of altering the gut microbiota. For instance, treatment of SPF mice with streptomycin leads to a transient 40-fold increase in sialic acid one day after antibiotic exposure, which declines by day three, a timeframe consistent with susceptibility to C. difficile infection [Ng K M, et al Nature (2013) 502: 96-9]. C. difficile is known to metabolize sialic acids such as N-acetyl-neuraminic acid, which is enzymatically released from mucin by commensal microbes along the intestinal epithelium. One experimental means of re-establishing control in animals has been to transplant the normal fecal flora of a healthy animal via an enteral route [for example, Wilson, K. H., J Silva, and F R Fekety (1981) Suppression of Clostridium difficile by normal hamster cecal flora and prevention of antibiotic-associated colitis. Infect. Immun. 34 (2): 626-8.] In humans, fecal microbiota transplantation (FMT) has shown similar beneficial results [for example, Shahinas, D, et al (2012) Toward an understanding of changes in diversity associated with fecal microbiome transplantation based on 16s rRNA gene deep sequencing. mBio 3].
In order to maintain steady-state concentrations in the gastrointestinal tract of a mammalian subject (where continuous dilution occurs as a result of the peristaltic wave), C. difficile is dependent upon the availability of a small number of nutrients, particularly carbohydrates such as glucose, mannitol, fructose, N-acetylglucosamine (NAG) and N-acetylneuraminic acid (NAN), amino acids, and vitamins such as biotin, pantothenate and pyridoxine. Free monosaccharide levels of NAG and NAN are low in the mammalian gastrointestinal tract; instead, NAG and NAN are present in higher order carbohydrate polymers such as mucins and inulin.
In one embodiment of the present invention, the bacterial compositions containing one or more types of non-pathogenic bacteria are introduced into the gastrointestinal tract to prevent or treat infection by utilizing the nutrients and/or metabolizing the germinants utilized by C. difficile. In some embodiments, the latter will be achieved when the introduced bacterial composition depletes one or more of the nutrients (e.g., carbohydrate or vitamin) utilized by C. difficile to a concentration that inhibits further growth of C. difficile or alternatively, reduces the rate of growth such that the introduced bacteria and/or other resident bacteria outcompete C. difficile.
In a first aspect, provided are compositions comprising an effective amount of a first type of bacteria and a second type of bacteria that overlap with C. difficile nutrition utilization, and/or are independently capable of proliferating in a nutrient medium having a threshold concentration of a nutrient below that concentration required for Clostridium difficile proliferation. In certain embodiments the first and second type of bacteria are isolated, such as from the gastrointestinal tract of a healthy mammal, and are not identical to each other.
Exemplary nutrients include carbohydrates, amino acids, vitamins, minerals, and cofactors such as germinants. Exemplary minerals include iron, phosphate, copper, nickel, and magnesium. Additional nutrients include nitrogen sources, such as ammonia or urea. Table XXX5 contains representative nitrogen sources.
Exemplary fermentation products include lactate, butyrate, acetate, ethanol, succinate, and formate. Exemplary carbohydrate nutrients include glucose, mannitol, fructose, N-acetylglucosamine (NAG) and N-acetylneuraminic acid (NAN). The bacterial compositions contain bacteria that overlap with C. difficile nutrition utilization and/or and are independently capable of proliferating in a nutrient medium having a threshold concentration of at least one of the following: glucose, mannitol, fructose, NAG and NAN below that concentration required for Clostridium difficile proliferation. In certain embodiments, the bacterial compositions include bacteria that are independently capable of proliferating in a nutrient medium having a threshold concentration of each of glucose, mannitol, fructose, NAG and NAN below the concentrations required for Clostridium difficile proliferation. The threshold concentration may be about 90%, about 80%, about 70%, about 60%, about 50%, about 40%, about 30%, about 20%, about 10% or less than about 10% of the concentration of that nutrient required for Clostridium difficile proliferation. In other embodiments, the bacterial compositions contain bacteria that can proliferate faster than C. difficile at a given nutrient concentration, effectively out-competing the C. difficile for a limited resource. For example, in a composition having two or more types of bacteria, these two types are independently capable of proliferating at a rate at least about 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%, 200%, 300%, or more than 300% greater than the proliferation rate of Clostridium difficile in a nutrient medium having a concentration of a nutrient such as glucose, mannitol, fructose, NAG and NAN, or a combination thereof. Alternatively, a composition is provided having two or more types of bacteria that are capable of growing to a maximal bacterial concentration in excess of the maximal bacterial concentration capable by C. difficile, as determined, e.g., by turbidity, colony counts, total biomass, or other means described herein or otherwise known in the art. In yet another embodiment, the bacterial composition is delivered at an efficacious dose such that the population of bacteria in the composition deplete glucose, mannitol, fructose, NAG and NAN and other carbohydrates necessary for C. difficile growth.
Exemplary vitamin nutrients include biotin, pantothenate, folic acid and pyridoxine. Table XXX1 contains representative vitamins, minerals, and cofactors. Without being limited to any particular mechanism, the bacteria present in the therapeutic composition are better able to transport one or more vitamins from the medium into the bacterial cell, or they are more efficient at utilizing the vitamin(s) once it is inside the cell.
The bacterial compositions comprise bacteria that overlap with C. difficile nutrition utilization requirements and/or are independently capable of proliferating in a nutrient medium having a threshold concentration of at least one of biotin, pantothenate and pyridoxine below that concentration required for Clostridium difficile proliferation. In certain embodiments, the bacterial compositions contain bacteria that are independently capable of proliferating in a nutrient medium having a threshold concentration of each of biotin, pantothenate and pyridoxine below the concentrations required for Clostridium difficile proliferation. The threshold concentration may be about 90%, about 80%, about 70%, about 60%, about 50%, about 40%, about 30%, about 20%, about 10% or less than about 10% of the concentration of that nutrient required for Clostridium difficile proliferation. In other embodiments, the bacterial compositions contain bacteria that can proliferate faster than C. difficile at a given nutrient concentration, effectively out-competing the C. difficile for a limited resource. For example, in a composition comprising two or more types of bacteria, these two types are independently capable of proliferating at a rate at least about 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%, 200%, 300%, or more than 300% greater than the proliferation rate of Clostridium difficile in a nutrient medium having a concentration of a nutrient such as biotin, pantothenate, pyridoxine, or a combination thereof. Alternatively, a composition is provided comprising two or more types of bacteria that are capable of growing to a maximal bacterial concentration in excess of the maximal bacterial concentration capable by C. difficile, as determined, e.g., by turbidity, colony counts, total biomass, or other means described herein or otherwise known in the art. In yet another embodiment, the bacterial composition is delivered at an efficacious dose such that the population of bacteria in the composition deplete biotin, pantothenate and pyridoxine and other vitamins necessary for C. difficile growth.
In another aspect, provided are compositions comprising effective amounts of one or more types of bacteria that compete with C. difficile for nutrients, e.g., polymeric carbohydrates, glycosylated proteins and/or vitamins. In a further aspect, provided are compositions comprising effective amounts of one or more types of bacteria that have rates of saccharification and consumption of the resulting products that exceed other bacterial species in the gastrointestinal tract. These compositions effectively eliminate polymeric carbohydrates from the local gastrointestinal environment, which would otherwise be hydrolyzed by resident bacterial species resulting in free glucose, NAG and/or NAN. Thus provided are bacterial compositions comprising first and second types of bacteria that are independently capable of saccharification at a rate at least 10% greater than Clostridium difficile. Also provided are bacterial compositions comprising first and second types of bacteria that are independently capable of saccharification at a rate at least about 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%, 200%, 300%, or more than 300% greater than any other bacterial species in the local environment that digests polymeric carbohydrates and releases the hydrolysis products into the media for consumption by, e.g., Clostridium difficile. Suitable carbohydrate polymers to target for selective digestion include a fructan, an arabinoxylan, a lactulose, and a galactooligosaccharide or a glycosylated protein such as a mucin.
Also provided are bacterial compositions comprising bacterial types capable of efficient saccharification of complex carbohydrates and metabolism of simple sugars. For example, provided is a composition comprising an effective amount of a first type of bacteria and a second type of bacteria formulated for oral administration to a mammalian subject, wherein the first type of bacteria is: (i) isolated, (ii) not identical to the second type of bacteria, and (iii) independently capable of saccharification at a rate at least 10% greater than Clostridium difficile, and wherein the second type of bacteria is: (i) isolated, (ii) not identical to the first type of bacteria, and (iii) independently capable of glycolysis of a nutrient selected from the group consisting of glucose, mannitol, fructose, NAG and NAN, at a rate at least 10% greater than Clostridium difficile or at a concentration at least 10% less than Clostridium difficile, or the combination thereof. In addition, provided is a composition comprising an effective amount of a first type of bacteria and a second type of bacteria formulated for oral administration to a mammalian subject, wherein the first type of bacteria is: (i) isolated, (ii) not identical to the second type of bacteria, and (iii) independently capable of saccharification of a necessary C. difficile nutrient, and wherein the second type of bacteria is: (i) isolated, (ii) not identical to the first type of bacteria, and (iii) independently capable of glycolysis of a nutrient selected from the group consisting of glucose, mannitol, fructose, NAG and NAN; and wherein the delivered bacteria effectively metabolize for nutrients to levels below that which is required for C. difficile growth.
Also provided are methods for the treatment of Clostridium difficile infection in a mammalian subject, by orally administering to the subject a composition comprising an effective amount of a first type of bacteria and a second type of bacteria formulated for oral administration to a mammalian subject, where the first type of bacteria is: (i) isolated, (ii) not identical to the second type of bacteria, and (iii) independently capable of saccharification at a rate at least 10% greater than Clostridium difficile, and where the second type of bacteria is: (i) isolated, (ii) not identical to the first type of bacteria, and (iii) independently capable of glycolysis of a nutrient selected from the group consisting of glucose, mannitol, fructose, N-acetylglucosamine (NAG) and N-acetylneuramic acid (NAN), at a rate at least 10% greater than Clostridium difficile or at a concentration at least 10% less than Clostridium difficile, or the combination thereof, under conditions such that the first type of bacteria and the second type of bacteria functionally populate the gastrointestinal tract of the subject and prevent the population of the gastrointestinal tract by Clostridium difficile.
Microbial, e.g., bacterial compositions may comprise two types of bacteria (termed “binary combinations” or “binary pairs”) or greater than two types of bacteria. For instance, a bacterial composition may comprise at least 2, at least 3, at least 4, at least 5, at least 6, at least 7, at least 8, at least 9, at least 10, at least 11, at least 12, at least 13, at least 14, at least 15, at least 16, at least 17, at least 18, at least 19, at least 20, or at least 21, 22, 23, 24, 25, 26, 27, 28, 29 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, or at least 40, at least 50 or greater than 50 types of bacteria, as defined by species or operational taxonomic unit (OTU), or otherwise as provided herein.
In another embodiment, the number of types of bacteria present in a bacterial composition is at or below a known value. For example, in such embodiments the bacterial composition comprises 50 or fewer types of bacteria, such as 49, 48, 47, 46, 45, 44, 43, 42, 41, 40, 39, 38, 37, 36, 35, 34, 33, 32, 31, 30, 29, 28, 27, 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, or 10 or fewer, or 9 or fewer types of bacteria, 8 or fewer types of bacteria, 7 or fewer types of bacteria, 6 or fewer types of bacteria, 5 or fewer types of bacteria, 4 or fewer types of bacteria, or 3 or fewer types of bacteria. In another embodiment, a bacterial composition comprises from 2 to no more than 40, from 2 to no more than 30, from 2 to no more than 20, from 2 to no more than 15, from 2 to no more than 10, or from 2 to no more than 5 types of bacteria.
Bacterial Compositions Described by Species
Bacterial compositions may be prepared comprising at least two types of isolated bacteria, chosen from the species in Table 1.
In one embodiment, the microbial, e.g., bacterial composition comprises at least one and preferably more than one of the following: Enterococcus faecalis (previously known as Streptococcus faecalis), Clostridium innocuum, Clostridium ramosum, Bacteroides ovatus, Bacteroides vulgatus, Bacteroides thetaoiotaomicron, Escherichia coli (1109 and 1108-1), Clostridum bifermentans, and Blautia producta (previously known as Peptostreptococcus productus). In an alternative embodiment, at least one of the preceding species is not substantially present in the bacterial composition.
In one embodiment, the bacterial composition comprises at least one and preferably more than one of the following: Enterococcus faecalis (previously known as Streptococcus faecalis), Clostridium innocuum, Clostridium ramosum, Bacteroides ovatus, Bacteroides vulgatus, Bacteroides thetaoiotaomicron, Escherichia coli (1109 and 1108-1), Clostridum bifermentans, and Blautia producta (previously known as Peptostreptococcus productus). In an alternative embodiment, at least one of the preceding species is not substantially present in the bacterial composition.
In another embodiment, the bacterial composition comprises at least one and preferably more than one of the following: Acidaminococcus intestinalis, Bacteroides ovatus, two strains of Bifidobacterium adolescentis, two strains of Bifidobacterium longum, Blautia producta, Clostridium cocleaturn, Collinsella aerofaciens, two strains of Dorea longicatena, Escherichia coli, Eubacterium desmolans, Eubacterium eligens, Eubacterium limosum, four strains of Eubacterium rectale, Eubacterium ventriosumi, Faecalibacterium prausnitzii, Lachnospira pectinoshiza, Lactobacillus casei, Lactobacillus casei/paracasei, Paracateroides distasonis, Raoultella sp., one strain of Roseburia (chosen from Roseburia faecalis or Roseburia faecis), Roseburia intestinalis, two strains of Ruminococcus torques, two strains of Ruminococcus obeum, and Streptococcus mitis. In an alternative embodiment, at least one of the preceding species is not substantially present in the bacterial composition.
In yet another embodiment, the bacterial composition comprises at least one and preferably more than one of the following: Bamesiella intestinihominis; Lactobacillus reuteri; a species characterized as one of Enterococcus hirae, Enterococus faecium, or Enterococcus durans; a species characterized as one of Anaerostipes caccae or Clostridium indolis; a species characterized as one of Staphylococcus warneri or Staphylococcus pasteuri; and Adlercreutzia equolifaciens. In an alternative embodiment, at least one of the preceding species is not substantially present in the bacterial composition.
In other embodiments, the bacterial composition comprises at least one and preferably more than one of the following: Clostridium absonum, Clostridium argentinense, Clostridium baratii, Clostridium bartlettii, Clostridium bifermentans, Clostridium botulinum, Clostridium butyricum, Clostridium cadaveris, Clostridium camis, Clostridium celatum, Clostridium chauvoei, Clostridium clostridioforme, Clostridium cochlearium, Clostridium difficile, Clostridium fallax, Clostridium felsineum, Clostridium ghonii, Clostridium glycolicum, Clostridium haemolyticum, Clostridium hastiforme, Clostridium histolyticum, Clostridium indolis, Clostridium innocuum, Clostridium irregulare, Clostridium limosum, Clostridium malenominatum, Clostridium novyi, Clostridium oroticum, Clostridium paraputrificum, Clostridium perfringens, Clostridium piliforme, Clostridium putrefaciens, Clostridium putrificum, Clostridium ramosum, Clostridium sardiniense, Clostridium sartagoforme, Clostridium scindens, Clostridium septicum, Clostridium sordellii, Clostridium sphenoides, Clostridium spiroforme, Clostridium sporogenes, Clostridium subterminale, Clostridium symbiosum, Clostridium tertium, Clostridium tetani, Clostridium welchii, and Clostridium villosum. In an alternative embodiment, at least one of the preceding species is not substantially present in the bacterial composition.
In one embodiment, the bacterial composition comprises at least one and preferably more than one of the following: Clostridium innocuum, Clostridum bifermentans, Clostridium butyricum, Bacteroides fragilis, Bacteroides thetaiotaomicron, Bacteroides uniformis, three strains of Escherichia coli, and Lactobacillus sp. In an alternative embodiment, at least one of the preceding species is not substantially present in the bacterial composition.
In one embodiment, the bacterial composition comprises at least one and preferably more than one of the following: Clostridium bifermentans, Clostridium innocuum, Clostridium butyricum, three strains of Escherichia coli, three strains of Bacteroides, and Blautia producta. In an alternative embodiment, at least one of the preceding species is not substantially present in the bacterial composition.
In one embodiment, the bacterial composition comprises at least one and preferably more than one of the following: Bacteroides sp., Escherichia coli, and non pathogenic Clostridia, including Clostridium innocuum, Clostridium bifermentans and Clostridium ramosum. In an alternative embodiment, at least one of the preceding species is not substantially present in the bacterial composition.
In one embodiment, the bacterial composition comprises at least one and preferably more than one of the following: Bacteroides species, Escherichia coli and non-pathogenic Clostridia, such as Clostridium butyricum, Clostridium bifermentans and Clostridium innocuum. In an alternative embodiment, at least one of the preceding species is not substantially present in the bacterial composition.
In one embodiment, the bacterial composition comprises at least one and preferably more than one of the following: Bacteroides caccae, Bacteroides capillosus, Bacteroides coagulans, Bacteroides distasonis, Bacteroides eggerthii, Bacteroides forsythus, Bacteroides fragilis, Bacteroides fragilis-ryhm, Bacteroides gracilis, Bacteroides levii, Bacteroides macacae, Bacteroides merdae, Bacteroides ovatus, Bacteroides pneumosintes, Bacteroides putredinis, Bacteroides pyogenes, Bacteroides splanchnicus, Bacteroides stercoris, Bacteroides tectum, Bacteroides thetaiotaomicron, Bacteroides uniformis, Bacteroides ureolyticus, and Bacteroides vulgatus. In an alternative embodiment, at least one of the preceding species is not substantially present in the bacterial composition.
In one embodiment, the bacterial composition comprises at least one and preferably more than one of the following: Bacteroides, Eubacteria, Fusobacteria, Propionibacteria, Lactobacilli, anaerobic cocci, Ruminococcus, Escherichia coli, Gemmiger, Desulfomonas, and Peptostreptococcus. In an alternative embodiment, at least one of the preceding species is not substantially present in the bacterial composition.
In one embodiment, the bacterial composition comprises at least one and preferably more than one of the following: Bacteroides fragilis ss. Vulgatus, Eubacterium aerofaciens, Bacteroides fragilis ss. Thetaiotaomicron, Blautia producta (previously known as Peptostreptococcus productus II), Bacteroides fragilis ss. Distasonis, Fusobacterium prausnitzii, Coprococcus eutactus, Eubacterium aerofaciens III, Blautia producta (previously known as Peptostreptococcus productus I), Ruminococcus bronii, Bifidobacterium adolescentis, Gemmiger formicilis, Bifidobacterium longum, Eubacterium siraeum, Ruminococcus torques, Eubacterium rectale III-H, Eubacterium rectale IV, Eubacterium eligens, Bacteroides eggerthii, Clostridium leptum, Bacteroides fragilis ss. A, Eubacterium biforme, Bifidobacterium infantis, Eubacterium rectale III-F, Coprococcus comes, Bacteroides capillosus, Ruminococcus albus, Eubacterium formicigenerans, Eubacterium hadrum, Eubacterium ventriosum I, Fusobacterium russii, Ruminococcus obeum, Eubacterium rectale II, Clostridium ramosum 1, Lactobacillus leichmanii, Ruminococcus cailidus, Butyrivibrio crossotus, Acidaminococcus fermentans, Eubacterium ventriosum, Bacteroides fragilis ss. fragilis, Bacteroides AR, Coprococcus catus, Eubacterium hadrum, Eubacterium cylindroides, Eubacterium ruminantium, Eubacterium CH-1, Staphylococcus epidermidis, Peptostreptococcus BL, Eubacterium limosum, Bacteroides praeacutus, Bacteroides L, Fusobacterium mortiferum I, Fusobacterium naviforme, Clostridium innocuum, Clostridium ramosum, Propionibacterium acnes, Ruminococcus flavefaciens, Ruminococcus AT, Peptococcus AU-1, Eubacterium AG, -AK, -AL, -AL-1, -AN; Bacteroides fragilis ss. ovatus, -ss. d, -ss. f; Bacteroides L-1, L-5; Fusobacterium nucleatum, Fusobacterium mortiferum, Escherichia coli, Streptococcus morbiliorum, Peptococcus magnus, Peptococcus G, AU-2; Streptococcus intermedius, Ruminococcus lactaris, Ruminococcus CO Gemmiger X, Coprococcus BH, -CC; Eubacterium tenue, Eubacterium ramulus, Eubacterium AE, -AG-H, -AG-M, -AJ, -BN-1; Bacteroides clostridiiformis ss. clostridliformis, Bacteroides coagulans, Bacteroides orails, Bacteroides ruminicola ss. brevis, -ss. ruminicola, Bacteroides splanchnicus, Desuifomonas pigra, Bacteroides L-4, -N-i; Fusobacterium H, Lactobacillus G, and Succinivibrio A. In an alternative embodiment, at least one of the preceding species is not substantially present in the bacterial composition.
Bacterial Compositions Described by Operational Taxonomic Unit (OTUs)
Bacterial compositions may be prepared comprising at least two types of isolated bacteria, chosen from the species in Table 1.
In one embodiment, the OTUs can be characterized by one or more of the variable regions of the 16S sequence (V1-V9). These regions in bacteria are defined by nucleotides 69-99, 137-242, 433-497, 576-682, 822-879, 986-1043, 1117-1173, 1243-1294 and 1435-1465 respectively using numbering based on the E. coli system of nomenclature. (See, e.g., Brosius et al., Complete nucleotide sequence of a 16S ribosomal RNA gene from Escherichia coli, PNAS 75(10):4801-4805 (1978)). In some embodiments, at least one of the V1, V2, V3, V4, V5, V6, V7, V8, and V9 regions are used to characterize an OTU. In one embodiment, the V1, V2, and V3 regions are used to characterize an OTU. In another embodiment, the V3, V4, and V5 regions are used to characterize an OTU. In another embodiment, the V4 region is used to characterize an OTU.
Bacterial Compositions Exclusive of Certain Bacterial Species or Strains
In one embodiment, the bacterial composition does not comprise at least one of Enterococcus faecalis (previously known as Streptococcus faecalis), Clostridium innocuum, Clostridium ramosum, Bacteroides ovatus, Bacteroides vulgatus, Bacteroides thetaoiotaomicron, Escherichia coli (1109 and 1108-1), Clostridum bifermentans, and Blautia producta (previously known as Peptostreptococcus productus).
In another embodiment, the bacterial composition does not comprise at least one of Acidaminococcus intestinalis, Bacteroides ovatus, two species of Bifidobacterium adolescentis, two species of Bifidobacterium longum, Collinsella aerofaciens, two species of Dorea longicatena, Escherichia coli, Eubacterium eligens, Eubacterium limosum, four species of Eubacterium rectale, Eubacterium ventriosumi, Faecalibacterium prausnitzii, Lactobacillus casei, Lactobacillus paracasei, Paracateroides distasonis, Raoultella sp., one species of Roseburia (chosen from Roseburia faecalis or Roseburia faecis), Roseburia intestinalis, two species of Ruminococcus torques, and Streptococcus mitis.
In yet another embodiment, the bacterial composition does not comprise at least one of Barnesiella intestinihominis; Lactobacillus reuteri; a species characterized as one of Enterococcus hirae, Enterococus faecium, or Enterococcus durans; a species characterized as one of Anaerostipes caccae or Clostridium indolis; a species characterized as one of Staphylococcus warneri or Staphylococcus pasteuri; and Adlercreutzia equolifaciens.
In other embodiments, the bacterial composition does not comprise at least one of Clostridium absonum, Clostridium argentinense, Clostridium baratii, Clostridium bifermentans, Clostridium botulinum, Clostridium butyricum, Clostridium cadaveris, Clostridium camis, Clostridium celatum, Clostridium chauvoei, Clostridium clostridioforme, Clostridium cochlearium, Clostridium difficile, Clostridium fallax, Clostridium felsineum, Clostridium ghonii, Clostridium glycolicum, Clostridium haemolyticum, Clostridium hastiforme, Clostridium histolyticum, Clostridium indolis, Clostridium innocuum, Clostridium irregulare, Clostridium limosum, Clostridium malenominatum, Clostridium novyi, Clostridium oroticum, Clostridium paraputrificum, Clostridium perfringens, Clostridium piliforme, Clostridium putrefaciens, Clostridium putrificum, Clostridium ramosum, Clostridium sardiniense, Clostridium sartagoforme, Clostridium scindens, Clostridium septicum, Clostridium sordellii, Clostridium sphenoides, Clostridium spiroforme, Clostridium sporogenes, Clostridium subterminale, Clostridium symbiosum, Clostridium tertium, Clostridium tetani, Clostridium welchii, and Clostridium villosum.
In another embodiment, the bacterial composition does not comprise at least one of Clostridium innocuum, Clostridum bifermentans, Clostridium butyricum, Bacteroides fragilis, Bacteroides thetaiotaomicron, Bacteroides uniformis, three strains of Escherichia coli, and Lactobacillus sp.
In another embodiment, the bacterial composition does not comprise at least one of Clostridium bifermentans, Clostridium innocuum, Clostridium butyricum, three strains of Escherichia coli, three strains of Bacteroides, and Blautia producta (previously known as Peptostreptococcus productus).
In another embodiment, the bacterial composition does not comprise at least one of Bacteroides sp., Escherichia coli, and non pathogenic Clostridia, including Clostridium innocuum, Clostridium bifermentans and Clostridium ramosum.
In another embodiment, the bacterial composition does not comprise at least one of more than one Bacteroides species, Escherichia coli and non-pathogenic Clostridia, such as Clostridium butyricum, Clostridium bifermentans and Clostridium innocuum.
In another embodiment, the bacterial composition does not comprise at least one of Bacteroides caccae, Bacteroides capillosus, Bacteroides coagulans, Bacteroides distasonis, Bacteroides eggerthii, Bacteroides forsythus, Bacteroides fragilis, Bacteroides fragilis-ryhm, Bacteroides gracilis, Bacteroides levii, Bacteroides macacae, Bacteroides merdae, Bacteroides ovatus, Bacteroides pneumosintes, Bacteroides putredinis, Bacteroides pyogenes, Bacteroides splanchnicus, Bacteroides stercoris, Bacteroides tectum, Bacteroides thetaiotaomicron, Bacteroides uniformis, Bacteroides ureolyticus, and Bacteroides vulgatus.
In another embodiment, the bacterial composition does not comprise at least one of Bacteroides, Eubacteria, Fusobacteria, Propionibacteria, Lactobacilli, anaerobic cocci, Ruminococcus, Escherichia coli, Gemmiger, Desulfomonas, and Peptostreptococcus.
In another embodiment, the bacterial composition does not comprise at least one of Bacteroides fragilis ss. Vulgatus, Eubacterium aerofaciens, Bacteroides fragilis ss. Thetaiotaomicron, Blautia producta (previously known as Peptostreptococcus productus II), Bacteroides fragilis ss. Distasonis, Fusobacterium prausnitzii, Coprococcus eutactus, Eubacterium aerofaciens III, Blautia producta (previously known as Peptostreptococcus productus I), Ruminococcus bromii, Bifidobacterium adolescentis, Gemmiger formicilis, Bifidobacterium longum, Eubacterium siraeum, Ruminococcus torques, Eubacterium rectale Eubacterium rectale IV, Eubacterium eligens, Bacteroides eggerthii, Clostridium leptum, Bacteroides fragilis ss. A, Eubacterium biforme, Bifidobacterium infantis, Eubacterium rectale Coprococcus comes, Bacteroides capillosus, Ruminococcus albus, Eubacterium formicigenerans, Eubacterium hallii, Eubacterium ventriosum I, Fusobacterium russii, Ruminococcus obeum, Eubacterium rectale II, Clostridium ramosum I, Lactobacillus leichmanii, Ruminococcus cailidus, Butyrivibrio crossotus, Acidaminococcus fermentans, Eubacterium ventriosum, Bacteroides fragilis ss. fragilis, Bacteroides AR, Coprococcus catus, Eubacterium hadrum, Eubacterium cylindroides, Eubacterium ruminantium, Eubacterium CH-1, Staphylococcus epidermidis, Peptostreptococcus BL, Eubacterium limosum, Bacteroides praeacutus, Bacteroides L, Fusobacterium mortiferum I, Fusobacterium naviforme, Clostridium innocuum, Clostridium ramosum, Propionibacterium acnes, Ruminococcus flavefaciens, Ruminococcus AT, Peptococcus AU-1, Eubacterium AG, -AK, -AL, -AL-1, -AN; Bacteroides fragilis ss. ovatus, -ss. d, -ss. f; Bacteroides L-1, L-5; Fusobacterium nucleatum, Fusobacterium mortiferum, Escherichia coli, Streptococcus morbiliorum, Peptococcus magnus, Peptococcus G, AU-2; Streptococcus intermedius, Ruminococcus lactaris, Ruminococcus CO Gemmiger X, Coprococcus BH, —CC; Eubacterium tenue, Eubacterium ramulus, Eubacterium AE, -AG-H, -AG-M, -AJ, -BN-1; Bacteroides clostridiiformis ss. clostridliformis, Bacteroides coagulans, Bacteroides orails, Bacteroides ruminicola ss. brevis, -ss. ruminicola, Bacteroides splanchnicus, Desuifomonas pigra, Bacteroides L-4, -N-i; Fusobacterium H, Lactobacillus G, and Succinivibrio A.
Inhibition of Bacterial Pathogens
In some embodiments, the bacterial composition provides a protective or therapeutic effect against infection by one or more GI pathogens of interest.
A list of exemplary bacterial pathogens is provided in Table 1 as indicated by pathogen status.
In some embodiments, the pathogenic bacterium is selected from the group consisting of Yersinia, Vibrio, Treponema, Streptococcus, Staphylococcus, Shigella, Salmonella, Rickettsia, Orientia, Pseudomonas, Neisseria, Mycoplasma, Mycobacterium, Listeria, Leptospira, Legionella, Klebsiella, Helicobacter, Haemophilus, Francisella, Escherichia, Ehrlichia, Enterococcus, Coxiella, Corynebacterium, Clostridium, Chlamydia, Chlamydophila, Campylobacter, Burkholderia, Brucella, Borrelia, Bordetella, Bifidobacterium, Bacillus, multi-drug resistant bacteria, extended spectrum beta-lactam resistant Enterococci (ESBL), Carbapenem-resistent Enterobacteriaceae (CRE), and vancomycin-resistant Enterococci (VRE).
In some embodiments, these pathogens include, but are not limited to, Aeromonas hydrophila, Campylobacter fetus, Plesiomonas shigelloides, Bacillus cereus, Campylobacter jejuni, Clostridium botulinum, Clostridium difficile, Clostridium perfringens, enteroaggregative Escherichia coli, enterohemorrhagic Escherichia coli, enteroinvasive Escherichia coli, enterotoxigenic Escherichia coli (such as, but not limited to, LT and/or ST), Escherichia coli 0157:H7, Helicobacter pylori, Klebsiellia pneumonia, Lysteria monocytogenes, Plesiomonas shigelloides, Salmonella spp., Salmonella typhi, Salmonella paratyphi, Shigella spp., Staphylococcus spp., Staphylococcus aureus, vancomycin-resistant enterococcus spp., Vibrio spp., Vibrio cholerae, Vibrio parahaemolyticus, Vibrio vulnificus, and Yersinia enterocolitica.
In one embodiment, the pathogen of interest is at least one pathogen chosen from Clostridium difficile, Salmonella spp., pathogenic Escherichia coli, vancomycin-resistant Enterococcus spp., and extended spectrum beta-lactam resistant Enterococci (ESBL).
Purified Spore Populations
In some embodiments, the bacterial compositions comprise purified spore populations. Purified spore populations contain combinations of commensal bacteria of the human gut microbiota with the capacity to meaningfully provide functions of a healthy microbiota when administered to a mammalian subject. Without being limited to a specific mechanism, it is thought that such compositions inhibit the growth of a pathogen such as C. difficile, Salmonella spp., enteropathogenic E. coli, and vancomycin-resistant Enterococcus spp., so that a healthy, diverse and protective microbiota can be maintained or, in the case of pathogenic bacterial infections such as C. difficile infection, repopulate the intestinal lumen to reestablish ecological control over potential pathogens. In some embodiments, yeast spores and other fungal spores are also purified and selected for therapeutic use.
Disclosed herein are therapeutic compositions containing non-pathogenic, germination-competent bacterial spores, spore forming organisms and non-spore forming organisms for the prevention, control, and treatment of gastrointestinal diseases, disorders and conditions and for general nutritional health. These compositions are advantageous in being suitable for safe administration to humans and other mammalian subjects and are efficacious in numerous gastrointestinal diseases, disorders and conditions and in general nutritional health.
Provided herein are therapeutic compositions containing a purified population of bacterial spores, spore forming organisms and non-spore forming organisms. As used herein, the terms “purify”, “purified” and “purifying” refer to the state of a population (e.g., a plurality of known or unknown amount and/or concentration) of desired bacterial spores or bacteria, that have undergone one or more processes of purification, e.g., a selection or an enrichment of the desired bacterial spore, or alternatively a removal or reduction of residual habitat products as described herein. In some embodiments, a purified population has no detectable undesired activity or, alternatively, the level or amount of the undesired activity is at or below an acceptable level or amount. In other embodiments, a purified population has an amount and/or concentration of desired bacterial spores or bacteria at or above an acceptable amount and/or concentration. In other embodiments, the purified population of bacterial spores is enriched as compared to the starting material (e.g., liquid culture) from which the population is obtained. This enrichment may be by 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 95%, 96%, 97%, 98%, 99%, 99.9%, 99.99%, 99.999%, 99.9999%, or greater than 99.9999% as compared to the starting material.
In certain embodiments, the purified populations have reduced or undetectable levels of one or more pathogenic activities, such as toxicity, an infection of the mammalian recipient subject, an immunomodulatory activity, an autoimmune response, a metabolic response, or an inflammatory response or a neurological response. Such a reduction in a pathogenic activity may be by 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 95%, 96%, 97%, 98%, 99%, 99.9%, 99.99%, 99.999%, 99.9999%, or greater than 99.9999% as compared to the starting material. In other embodiments, the purified populations of bacterial spores have reduced sensory components as compared to fecal material, such as reduced odor, taste, appearance, and umami.
Provided are purified populations of bacterial spores that are substantially free of residual habitat products. In certain embodiments, this means that the bacterial spore composition no longer contains a substantial amount of the biological matter associated with the microbial community while living on or in the human or animal subject, and the purified population of spores may be 100% free, 99% free, 98% free, 97% free, 96% free, or 95% free of any contamination of the biological matter associated with the microbial community. Substantially free of residual habitat products may also mean that the bacterial spore composition contains no detectable cells from a human or animal, and that only microbial cells are detectable, in particular, only desired microbial cells are detectable. In another embodiment, it means that fewer than 1×10−2%, 1×10−3%, 1×10−4%, 1×10−5%, 1×10−6%, 1×10−7%, 1×10−8% of the cells in the bacterial composition are human or animal, as compared to microbial cells. In another embodiment, the residual habitat product present in the purified population is reduced at least a certain level from the fecal material obtained from the mammalian donor subject, e.g., reduced by at least about 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 95%, 96%, 97%, 98%, 99%, 99.9%, 99.99%, 99.999%, 99.9999%, or greater than 99.9999%.
In one embodiment, substantially free of residual habitat products or substantially free of a detectable level of a pathogenic material means that the bacterial composition contains no detectable viral (including bacterial viruses (i.e., phage)), fungal, or mycoplasmal or toxoplasmal contaminants, or a eukaryotic parasite such as a helminth. Alternatively, the purified spore populations are substantially free of an acellular material, e.g., DNA, viral coat material, or non-viable bacterial material.
As described herein, purified spore populations can be demonstrated by genetic analysis (e.g., PCR, DNA sequencing), serology and antigen analysis, and methods using instrumentation such as flow cytometry with reagents that distinguish desired bacterial spores from non-desired, contaminating materials.
Exemplary biological materials include fecal materials such as feces or materials isolated from the various segments of the small and large intestines. Fecal materials are obtained from a mammalian donor subject, or can be obtained from more than one donor subject, e.g., 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 25, 30, 35, 40, 45, 50, 75, 100, 200, 300, 400, 500, 750, 1000 or from greater than 1000 donors, where such materials are then pooled prior to purification of the desired bacterial spores.
In alternative embodiments, the desired bacterial spores are purified from a single fecal material sample obtained from a single donor, and after such purification are combined with purified spore populations from other purifications, either from the same donor at a different time, or from one or more different donors, or both.
Preferred bacterial genera include Acetonema, Alkaliphilus, Alicyclobacillus, Amphibacillus, Ammonifex, Anaerobacter, Anaerofustis, Anaerostipes, Anaerotruncus, Anoxybacillus, Bacillus, Blautia, Brevibacillus, Bryantella, Caldicellulosiruptor, Caloramator, Candidatus, Carboxydibrachium, Carboxydothermus, Clostridium, Cohnella, Coprococcus, Dendrosporobacter Desulfitobacterium, Desulfosporosinus, Desulfotomaculum, Dorea, Eubacterium, Faecalibacterium, Filifactor, Geobacillus, Halobacteroides, Heliobacillus, Heliobacterium, Heliophilum, Heliorestis, Lachnoanaerobaculum, Lysinibacillus, Moorella, Oceanobacillus, Orenia (S.), Oxalophagus, Oxobacter, Paenibacillus, Pelospora, Pelotomaculum, Propionispora, Roseburia, Ruminococcus, Sarcina, Sporobacterium, Sporohalobacter, Sporolactobacillus, Sporomusa, Sporosarcina, Sporotomaculum, Subdoligranulum, Symbiobacterium, Syntrophobotulus, Syntrophospora, Terribacillus, Thermoanaerobacter, and Thermosinus.
Preferred bacterial species are provided at Table X4. Where specific strains of a species are provided, one of skill in the art will recognize that other strains of the species can be substituted for the named strain.
In some embodiments, spore-forming bacteria are identified by the presence of nucleic acid sequences that modulate sporulation. In particular, signature sporulation genes are highly conserved across members of distantly related genera including Clostridium and Bacillus. Traditional approaches of forward genetics have identified many, if not all, genes that are essential for sporulation (spo). The developmental program of sporulation is governed in part by the successive action of four compartment-specific sigma factors (appearing in the order σF, σE, σG and σK), whose activities are confined to the forespore (σF and σG) or the mother cell (σE and σK).
Provided are spore populations containing more than one type of bacterium. As used herein, a “type” or more than one “types” of bacteria may be differentiated at the genus level, the species, level, the sub-species level, the strain level or by any other taxonomic method, as described herein and otherwise known in the art.
In some embodiments, all or essentially all of the bacterial species present in a purified population are isolated or originally isolated from a fecal material treated as described herein or otherwise known in the art. In alternative embodiments, one or more than one bacterial spores or types of bacteria are generated in culture and combined to form a purified population. In other alternative embodiments, one or more of these culture-generated populations are combined with a fecal material-derived population to generate a hybrid population. Bacterial compositions may contain at least two types of these preferred bacteria, including strains of the same species. For instance, a bacterial composition may comprise at least 2, at least 3, at least 4, at least 5, at least 6, at least 7, at least 8, at least 9, at least 10, at least 11, at least 12, at least 13, at least 14, at least 15, at least 16, at least 17, at least 18, at least 19, or at least 20 or more than 20 types of bacteria, as defined by species or operational taxonomic unit (OTU) encompassing such species.
Thus, provided herein are methods for production of a composition containing a population of bacterial spores suitable for therapeutic administration to a mammalian subject in need thereof. And the composition is produced by generally following the steps of: (a) providing a fecal material obtained from a mammalian donor subject; and (b) subjecting the fecal material to at least one purification treatment or step under conditions such that a population of bacterial spores is produced from the fecal material. The composition is formulated such that a single oral dose contains at least about 1×104 colony forming units of the bacterial spores, and a single oral dose will typically contain about 1×104, 1×105, 1×106, 1×107, 1×108, 1×109, 1×1010, 1×1011, 1×1012, 1×1013, 1×1014, 1×1015, or greater than 1×1015 CFUs of the bacterial spores. The presence and/or concentration of a given type of bacteria spore may be known or unknown in a given purified spore population. If known, for example the concentration of spores of a given strain, or the aggregate of all strains, is e.g., 1×104, 1×105, 1×106, 1×107, 1×108, 1×109, 1×1010, 1×1011, 1×1012, 1×1013, 1×1014, 1×1015, or greater than 1×1015 viable bacterial spores per gram of composition or per administered dose.
In some formulations, the composition contains at least about 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90% or greater than 90% spores on a mass basis. In some formulations, the administered dose does not exceed 200, 300, 400, 500, 600, 700, 800, 900 milligrams or 1, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, or 1.9 grams in mass.
The bacterial spore compositions are generally formulated for oral or gastric administration, typically to a mammalian subject. In particular embodiments, the composition is formulated for oral administration as a solid, semi-solid, gel, or liquid form, such as in the form of a pill, tablet, capsule, or lozenge. In some embodiments, such formulations contain or are coated by an enteric coating to protect the bacteria through the stomach and small intestine, although spores are generally resistant to the stomach and small intestines.
The bacterial spore compositions may be formulated to be effective in a given mammalian subject in a single administration or over multiple administrations. For example, a single administration is substantially effective to reduce Cl. difficile and/or Cl. difficile toxin content in a mammalian subject to whom the composition is administered. Substantially effective means that Cl. difficile and/or Cl. difficile toxin content in the subject is reduced by at least 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 95%, 98%, 99% or greater than 99% following administration of the composition.
OTUs can be defined either by full 16S sequencing of the rRNA gene, by sequencing of a specific hypervariable region of this gene (i.e. V1, V2, V3, V4, V5, V6, V7, V8, or V9), or by sequencing of any combination of hypervariable regions from this gene (e.g. V1-3 or V3-5). The bacterial 16S rDNA is approximately 1500 nucleotides in length and is used in reconstructing the evolutionary relationships and sequence similarity of one bacterial isolate to another using phylogenetic approaches. 16S sequences are used for phylogenetic reconstruction as they are in general highly conserved, but contain specific hypervariable regions that harbor sufficient nucleotide diversity to differentiate genera and species of most microbes.
Using well known techniques, in order to determine the full 16S sequence or the sequence of any hypervariable region of the 16S sequence, genomic DNA is extracted from a bacterial sample, the 16S rDNA (full region or specific hypervariable regions) amplified using polymerase chain reaction (PCR), the PCR products cleaned, and nucleotide sequences delineated to determine the genetic composition of 16S gene or subdomain of the gene. If full 16S sequencing is performed, the sequencing method used may be, but is not limited to, Sanger sequencing. If one or more hypervariable regions are used, such as the V4 region, the sequencing can be, but is not limited to being, performed using the Sanger method or using a next-generation sequencing method, such as an Illumina (sequencing by synthesis) method using barcoded primers allowing for multiplex reactions.
OTUs can be defined by a combination of nucleotide markers or genes, in particular highly conserved genes (e.g., “house-keeping” genes), or a combination thereof, full-genome sequence, or partial genome sequence generated using amplified genetic products, or whole genome sequence (WGS). Using well defined methods DNA extracted from a bacterial sample will have specific genomic regions amplified using PCR and sequenced to determine the nucleotide sequence of the amplified products. In the whole genome shotgun (WGS) method, extracted DNA will be directly sequenced without amplification. Sequence data can be generated using any sequencing technology including, but not limited to Sanger, Illumina, 454 Life Sciences, Ion Torrent, ABI, Pacific Biosciences, and/or Oxford Nanopore.
Methods for Preparing a Bacterial Composition for Administration to a Subject
Methods for producing bacterial compositions can include three main processing steps, combined with one or more mixing steps. The steps include organism banking, organism production, and preservation.
For banking, the strains included in the bacterial composition may be (1) isolated directly from a specimen or taken from a banked stock, (2) optionally cultured on a nutrient agar or broth that supports growth to generate viable biomass, and (3) the biomass optionally preserved in multiple aliquots in long-term storage.
In embodiments that use a culturing step, the agar or broth can contain nutrients that provide essential elements and specific factors that enable growth. An example would be a medium composed of 20 g/L glucose, 10 g/L yeast extract, 10 g/L soy peptone, 2 g/L citric acid, 1.5 g/L sodium phosphate monobasic, 100 mg/L ferric ammonium citrate, 80 mg/L magnesium sulfate, 10 mg/L hemin chloride, 2 mg/L calcium chloride, 1 mg/L menadione. A variety of microbiological media and variations are well known in the art (e.g. R. M. Atlas, Handbook of Microbiological Media (2010) CRC Press). Medium can be added to the culture at the start, may be added during the culture, or may be intermittently/continuously flowed through the culture. The strains in the bacterial composition may be cultivated alone, as a subset of the bacterial composition, or as an entire collection comprising the bacterial composition. As an example, a first strain may be cultivated together with a second strain in a mixed continuous culture, at a dilution rate lower than the maximum growth rate of either cell to prevent the culture from washing out of the cultivation.
The inoculated culture is incubated under favorable conditions for a time sufficient to build biomass. For bacterial compositions for human use, this is often at 37° C. temperature, pH, and other parameter with values similar to the normal human niche. The environment can be actively controlled, passively controlled (e.g., via buffers), or allowed to drift. For example, for anaerobic bacterial compositions (e.g., gut microbiota), an anoxic/reducing environment can be employed. This can be accomplished by addition of reducing agents such as cysteine to the broth, and/or stripping it of oxygen. As an example, a culture of a bacterial composition can be grown at 37° C., pH 7, in the medium above, pre-reduced with 1 g/L cysteine HCl.
When the culture has generated sufficient biomass, it can be preserved for banking. The organisms can be placed into a chemical milieu that protects from freezing (adding ‘cryoprotectants’), drying (′lyoprotectants′), and/or osmotic shock (‘osmoprotectants’), dispensing into multiple (optionally identical) containers to create a uniform bank, and then treating the culture for preservation. Containers are generally impermeable and have closures that assure isolation from the environment. Cryopreservation treatment is accomplished by freezing a liquid at ultra-low temperatures (e.g., at or below −80° C.). Dried preservation removes water from the culture by evaporation (in the case of spray drying or ‘cool drying’) or by sublimation (e.g., for freeze drying, spray freeze drying). Removal of water improves long-term bacterial composition storage stability at temperatures elevated above cryogenic. If the bacterial composition comprises spore forming species and results in the production of spores, the final composition can be purified by additional means, such as density gradient centrifugation preserved using the techniques described above. Bacterial composition banking can be done by culturing and preserving the strains individually, or by mixing the strains together to create a combined bank. As an example of cryopreservation, a bacterial composition culture can be harvested by centrifugation to pellet the cells from the culture medium, the supernate decanted and replaced with fresh culture broth containing 15% glycerol. The culture can then be aliquoted into 1 mL cryotubes, sealed, and placed at −80° C. for long-term viability retention. This procedure achieves acceptable viability upon recovery from frozen storage.
Organism production can be conducted using similar culture steps to banking, including medium composition and culture conditions. It can be conducted at larger scales of operation, especially for clinical development or commercial production. At larger scales, there can be several subcultivations of the bacterial composition prior to the final cultivation. At the end of cultivation, the culture is harvested to enable further formulation into a dosage form for administration. This can involve concentration, removal of undesirable medium components, and/or introduction into a chemical milieu that preserves the bacterial composition and renders it acceptable for administration via the chosen route. For example, a bacterial composition can be cultivated to a concentration of 1010 CFU/mL, then concentrated 20-fold by tangential flow microfiltration; the spent medium can be exchanged by diafiltering with a preservative medium consisting of 2% gelatin, 100 mM trehalose, and 10 nM sodium phosphate buffer. The suspension can then be freeze-dried to a powder and titrated.
After drying, the powder can be blended to an appropriate potency, and mixed with other cultures and/or a filler such as microcrystalline cellulose for consistency and ease of handling, and the bacterial composition formulated as provided herein.
Methods of Treating a Subject
In some embodiments, the compositions disclosed herein are administered to a patient or a user (sometimes collectively referred to as a “subject”). As used herein “administer” and “administration” encompasses embodiments in which one person directs another to consume a bacterial composition in a certain manner and/or for a certain purpose, and also situations in which a user uses a bacteria composition in a certain manner and/or for a certain purpose independently of or in variance to any instructions received from a second person. Non-limiting examples of embodiments in which one person directs another to consume a bacterial composition in a certain manner and/or for a certain purpose include when a physician prescribes a course of conduct and/or treatment to a patient, when a parent commands a minor user (such as a child) to consume a bacterial composition, when a trainer advises a user (such as an athlete) to follow a particular course of conduct and/or treatment, and when a manufacturer, distributer, or marketer recommends conditions of use to an end user, for example through advertisements or labeling on packaging or on other materials provided in association with the sale or marketing of a product.
The bacterial compositions offer a protective and/or therapeutic effect against infection by one or more GI pathogens of interest and can be administered after an acute case of infection has been resolved in order to prevent relapse, during an acute case of infection as a complement to antibiotic therapy if the bacterial composition is not sensitive to the same antibiotics as the GI pathogen, or to prevent infection or reduce transmission from disease carriers.
The present bacterial compositions can be useful in a variety of clinical situations. For example, the bacterial compositions can be administered as a complementary treatment to antibiotics when a patient is suffering from an acute infection, to reduce the risk of recurrence after an acute infection has subsided, or when a patient will be in close proximity to others with or at risk of serious gastrointestinal infections (physicians, nurses, hospital workers, family members of those who are ill or hospitalized).
The present bacterial compositions can be administered to animals, including humans, laboratory animals (e.g., primates, rats, mice), livestock (e.g., cows, sheep, goats, pigs, turkeys, chickens), and household pets (e.g., dogs, cats, rodents).
In the present method, the bacterial composition can be administered enterically, in other words, by a route of access to the gastrointestinal tract. This includes oral administration, rectal administration (including enema, suppository, or colonoscopy), by an oral or nasal tube (nasogastric, nasojejunal, oral gastric, or oral jejunal), as detailed more fully herein.
Pretreatment Protocols
Prior to administration of the bacterial composition, the patient can optionally have a pretreatment protocol to prepare the gastrointestinal tract to receive the bacterial composition. In certain embodiments, the pretreatment protocol is advisable, such as when a patient has an acute infection with a highly resilient pathogen. In other embodiments, the pretreatment protocol is entirely optional, such as when the pathogen causing the infection is not resilient, or the patient has had an acute infection that has been successfully treated but where the physician is concerned that the infection may recur. In these instances, the pretreatment protocol can enhance the ability of the bacterial composition to affect the patient's microbiome.
As one way of preparing the patient for administration of the microbial ecosystem, at least one antibiotic can be administered to alter the bacteria in the patient. As another way of preparing the patient for administration of the microbial ecosystem, a standard colon-cleansing preparation can be administered to the patient to substantially empty the contents of the colon, such as used to prepare a patient for a colonscopy. By “substantially emptying the contents of the colon,” this application means removing at least 75%, at least 80%, at least 90%, at least 95%, or about 100% of the contents of the ordinary volume of colon contents. Antibiotic treatment can precede the colon-cleansing protocol.
If a patient has received an antibiotic for treatment of an infection, or if a patient has received an antibiotic as part of a specific pretreatment protocol, in one embodiment, the antibiotic can be stopped in sufficient time to allow the antibiotic to be substantially reduced in concentration in the gut before the bacterial composition is administered. In one embodiment, the antibiotic can be discontinued 1, 2, or 3 days before the administration of the bacterial composition. In another embodiment, the antibiotic can be discontinued 3, 4, 5, 6, or 7 antibiotic half-lives before administration of the bacterial composition. In another embodiment, the antibiotic can be chosen so the constituents in the bacterial composition have an MIC50 that is higher than the concentration of the antibiotic in the gut.
MIC50 of a bacterial composition or the elements in the composition can be determined by methods well known in the art. Reller et al., Antimicrobial Susceptibility Testing: A Review of General Principles and Contemporary Practices, Clinical Infectious Diseases 49(11):1749-1755 (2009). In such an embodiment, the additional time between antibiotic administration and administration of the bacterial composition is not necessary. If the pretreatment protocol is part of treatment of an acute infection, the antibiotic can be chosen so that the infection is sensitive to the antibiotic, but the constituents in the bacterial composition are not sensitive to the antibiotic.
Routes of Administration
The bacterial compositions of the invention are suitable for administration to mammals and non-mammalian animals in need thereof. In certain embodiments, the mammalian subject is a human subject who has one or more symptoms of a dysbiosis.
When a mammalian subject is suffering from a disease, disorder or condition characterized by an aberrant microbiota, the bacterial compositions described herein are suitable for treatment thereof. In some embodiments, the mammalian subject has not received antibiotics in advance of treatment with the bacterial compositions. For example, the mammalian subject has not been administered at least two doses of vancomycin, metronidazole and/or or similar antibiotic compound within one week prior to administration of the therapeutic composition. In other embodiments, the mammalian subject has not previously received an antibiotic compound in the one month prior to administration of the therapeutic composition. In other embodiments, the mammalian subject has received one or more treatments with one or more different antibiotic compounds and such treatment(s) resulted in no improvement or a worsening of symptoms.
In some embodiments, the gastrointestinal disease, disorder or condition is diarrhea caused by C. difficile including recurrent C. difficile infection, ulcerative colitis, colitis, Crohn's disease, or irritable bowel disease. Beneficially, the therapeutic composition is administered only once prior to improvement of the disease, disorder or condition. In some embodiments, the therapeutic composition is administered at intervals greater than two days, such as once every three, four, five or six days, or every week or less frequently than every week. In other embodiments, the preparation can be administered intermittently according to a set schedule, e.g., once a day, once weekly, or once monthly, or when the subject relapses from the primary illness. In another embodiment, the preparation may be administered on a long-term basis to subjects who are at risk for infection with or who may be carriers of these pathogens, including subjects who will have an invasive medical procedure (such as surgery), who will be hospitalized, who live in a long-term care or rehabilitation facility, who are exposed to pathogens by virtue of their profession (livestock and animal processing workers), or who could be carriers of pathogens (including hospital workers such as physicians, nurses, and other health care professionals).
In certain embodiments, the bacterial composition is administered enterically. This preferentially includes oral administration, or by an oral or nasal tube (including nasogastric, nasojejunal, oral gastric, or oral jejunal). In other embodiments, administration includes rectal administration (including enema, suppository, or colonoscopy). The bacterial composition can be administered to at least one region of the gastrointestinal tract, including the mouth, esophagus, stomach, small intestine, large intestine, and rectum. In some embodiments, it is administered to all regions of the gastrointestinal tract. The bacterial compositions can be administered orally in the form of medicaments such as powders, capsules, tablets, gels or liquids. The bacterial compositions can also be administered in gel or liquid form by the oral route or through a nasogastric tube, or by the rectal route in a gel or liquid form, by enema or instillation through a colonoscope or by a suppository.
If the composition is administered colonoscopically and, optionally, if the bacterial composition is administered by other rectal routes (such as an enema or suppository) or even if the subject has an oral administration, the subject can have a colon-cleansing preparation. The colon-cleansing preparation can facilitate proper use of the colonoscope or other administration devices, but even when it does not serve a mechanical purpose, it can also maximize the proportion of the bacterial composition relative to the other organisms previously residing in the gastrointestinal tract of the subject. Any ordinarily acceptable colon-cleansing preparation may be used such as those typically provided when a subject undergoes a colonoscopy.
Dosages and Schedule for Administration
In some embodiments, the bacteria and bacterial compositions are provided in a dosage form. In certain embodiments, the dosage form is designed for administration of at least one OTU or combination thereof disclosed herein, wherein the total amount of bacterial composition administered is selected from 0.1 ng to 10 g, 10 ng to 1 g, 100 ng to 0.1 g, 0.1 mg to 500 mg, 1 mg to 100 mg, or from 10-15 mg. In other embodiments, the bacterial composition is consumed at a rate of from 0.1 ng to 10 g a day, 10 ng to 1 g a day, 10 ng to 0.1 g a day, 0.1 mg to 500 mg a day, 1 mg to 100 mg a day, or from 10-15 mg a day, or more.
In certain embodiments, the treatment period is at least 1 day, at least 2 days, at least 3 days, at least 4 days, at least 5 days, at least 6 days, at least 1 week, at least 2 weeks, at least 3 weeks, at least 4 weeks, at least 1 month, at least 2 months, at least 3 months, at least 4 months, at least 5 months, at least 6 months, or at least 1 year. In some embodiments the treatment period is from 1 day to 1 week, from 1 week to 4 weeks, from 1 month, to 3 months, from 3 months to 6 months, from 6 months to 1 year, or for over a year.
In one embodiment, 105 and 1012 microorganisms total can be administered to the patient in a given dosage form. In another embodiment, an effective amount can be provided in from 1 to 500 ml or from 1 to 500 grams of the bacterial composition having from 107 to 1011 bacteria per ml or per gram, or a capsule, tablet or suppository having from 1 mg to 1000 mg lyophilized powder having from 107 to 1011 bacteria. Those receiving acute treatment can receive higher doses than those who are receiving chronic administration (such as hospital workers or those admitted into long-term care facilities).
Any of the preparations described herein can be administered once on a single occasion or on multiple occasions, such as once a day for several days or more than once a day on the day of administration (including twice daily, three times daily, or up to five times daily). In another embodiment, the preparation can be administered intermittently according to a set schedule, e.g., once weekly, once monthly, or when the patient relapses from the primary illness. In one embodiment, the preparation can be administered on a long-term basis to individuals who are at risk for infection with or who may be carriers of these pathogens, including individuals who will have an invasive medical procedure (such as surgery), who will be hospitalized, who live in a long-term care or rehabilitation facility, who are exposed to pathogens by virtue of their profession (livestock and animal processing workers), or who could be carriers of pathogens (including hospital workers such as physicians, nurses, and other health care professionals).
Patient Selection
Particular bacterial compositions can be selected for individual patients or for patients with particular profiles. For example, 16S sequencing can be performed for a given patient to identify the bacteria present in his or her microbiota. The sequencing can either profile the patient's entire microbiome using 16S sequencing (to the family, genera, or species level), a portion of the patient's microbiome using 16S sequencing, or it can be used to detect the presence or absence of specific candidate bacteria that are biomarkers for health or a particular disease state, such as markers of multi-drug resistant organisms or specific genera of concern such as Escherichia. Based on the biomarker data, a particular composition can be selected for administration to a patient to supplement or complement a patient's microbiota in order to restore health or treat or prevent disease. In another embodiment, patients can be screened to determine the composition of their microbiota to determine the likelihood of successful treatment.
Combination Therapy
The bacterial compositions can be administered with other agents in a combination therapy mode, including anti-microbial agents and prebiotics. Administration can be sequential, over a period of hours or days, or simultaneous.
In one embodiment, the bacterial compositions are included in combination therapy with one or more anti-microbial agents, which include anti-bacterial agents, anti-fungal agents, anti-viral agents and anti-parasitic agents.
Anti-bacterial agents can include cephalosporin antibiotics (cephalexin, cefuroxime, cefadroxil, cefazolin, cephalothin, cefaclor, cefamandole, cefoxitin, cefprozil, and ceftobiprole); fluoroquinolone antibiotics (cipro, Levaquin, floxin, tequin, avelox, and norflox); tetracycline antibiotics (tetracycline, minocycline, oxytetracycline, and doxycycline); penicillin antibiotics (amoxicillin, ampicillin, penicillin V, dicloxacillin, carbenicillin, vancomycin, and methicillin); and carbapenem antibiotics (ertapenem, doripenem, imipenem/cilastatin, and meropenem).
Anti-viral agents can include Abacavir, Acyclovir, Adefovir, Amprenavir, Atazanavir, Cidofovir, Darunavir, Delavirdine, Didanosine, Docosanol, Efavirenz, Elvitegravir, Emtricitabine, Enfuvirtide, Etravirine, Famciclovir, Foscarnet, Fomivirsen, Ganciclovir, Indinavir, Idoxuridine, Lamivudine, Lopinavir Maraviroc, MK-2048, Nelfinavir, Nevirapine, Penciclovir, Raltegravir, Rilpivirine, Ritonavir, Saquinavir, Stavudine, Tenofovir Trifluridine, Valaciclovir, Valganciclovir, Vidarabine, Ibacitabine, Amantadine, Oseltamivir, Rimantidine, Tipranavir, Zalcitabine, Zanamivir and Zidovudine.
Examples of antifungal compounds include, but are not limited to polyene antifungals such as natamycin, rimocidin, filipin, nystatin, amphotericin B, candicin, and hamycin; imidazole antifungals such as miconazole, ketoconazole, clotrimazole, econazole, omoconazole, bifonazole, butoconazole, fenticonazole, isoconazole, oxiconazole, sertaconazole, sulconazole, and tioconazole; triazole antifungals such as fluconazole, itraconazole, isavuconazole, ravuconazole, posaconazole, voriconazole, terconazole, and albaconazole; thiazole antifungals such as abafungin; allylamine antifungals such as terbinafine, naftifine, and butenafine; and echinocandin antifungals such as anidulafungin, caspofungin, and micafungin. Other compounds that have antifungal properties include, but are not limited to polygodial, benzoic acid, ciclopirox, tolnaftate, undecylenic acid, flucytosine or 5-fluorocytosine, griseofulvin, and haloprogin.
In one embodiment, the bacterial compositions are included in combination therapy with one or more corticosteroids, mesalazine, mesalamine, sulfasalazine, sulfasalazine derivatives, immunosuppressive drugs, cyclosporin A, mercaptopurine, azathiopurine, prednisone, methotrexate, antihistamines, glucocorticoids, epinephrine, theophylline, cromolyn sodium, anti-leukotrienes, anti-cholinergic drugs for rhinitis, anti-cholinergic decongestants, mast-cell stabilizers, monoclonal anti-IgE antibodies, vaccines, and combinations thereof.
A prebiotic is a selectively fermented ingredient that allows specific changes, both in the composition and/or activity in the gastrointestinal microbiota that confers benefits upon host well-being and health. Prebiotics can include complex carbohydrates, amino acids, peptides, or other essential nutritional components for the survival of the bacterial composition. Prebiotics include, but are not limited to, amino acids, biotin, fructooligosaccharide, galactooligosaccharides, inulin, lactulose, mannan oligosaccharides, oligofructose-enriched inulin, oligofructose, oligodextrose, tagatose, trans-galactooligosaccharide, and xylooligosaccharides.
Methods for Testing Bacterial Compositions for Populating Effect
In Vivo Assay for Determining Whether a Bacterial Composition Populates a Subject's Gastrointestinal Tract
In order to determine that the bacterial composition populates the gastrointestinal tract of a subject, an animal model, such as a mouse model, can be used. The model can begin by evaluating the microbiota of the mice. Qualitative assessments can be accomplished using 16S profiling of the microbial community in the feces of normal mice. It can also be accomplished by full genome sequencing, whole genome shotgun sequencing (WGS), or traditional microbiological techniques. Quantitative assessments can be conducted using quantitative PCR (qPCR), described below, or by using traditional microbiological techniques and counting colony formation.
Optionally, the mice can receive an antibiotic treatment to mimic the condition of dysbiosis. Antibiotic treatment can decrease the taxonomic richness, diversity, and evenness of the community, including a reduction of abundance of a significant number of bacterial taxa. Dethlefsen et al., The pervasive effects of an antibiotic on the human gut microbiota, as revealed by deep 16S rRNA sequencing, PLoS Biology 6(11):3280 (2008). At least one antibiotic can be used, and antibiotics are well known. Antibiotics can include aminoglycoside antibiotic (amikacin, arbekacin, gentamicin, kanamycin, neomycin, netilmicin, paromomycin, rhodostreptomycin, streptomycin, tobramycin, and apramycin), amoxicillin, ampicillin, Augmentin (an amoxicillin/clavulanate potassium combination), cephalosporin (cefaclor, defadroxil, cefazolin, cefixime, fefoxitin, cefprozil, ceftazimdime, cefuroxime, cephalexin), clavulanate potassium, clindamycin, colistin, gentamycin, kanamycin, metronidazole, or vancomycin. As an individual, nonlimiting specific example, the mice can be provided with drinking water containing a mixture of the antibiotics kanamycin, colistin, gentamycin, metronidazole and vancomycin at 40 mg/kg, 4.2 mg/kg, 3.5 mg/kg, 21.5 mg/kg, and 4.5 mg/kg (mg per average mouse body weight), respectively, for 7 days. Alternatively, mice can be administered ciprofloxacin at a dose of 15-20 mg/kg (mg per average mouse body weight), for 7 days.
Subsequently, the test bacterial composition is administered to the mice by oral gavage. The test bacterial composition may be administered in a volume of 0.2 ml containing 104 CFUs of each type of bacteria in the bacterial composition. Dose-response may be assessed by using a range of doses, including, but not limited to 102, 103, 104, 105, 106, 107, 108, 109, and/or 1010.
The mice can be evaluated using 16S sequencing, full genome sequencing, whole genome shotgun sequencing (WGS), or traditional microbiological techniques to determine whether the test bacterial composition has populated the gastrointestinal tract of the mice. For example only, one day, three days, one week, two weeks, and one month after administration of the bacterial composition to the mice, 16S profiling is conducted to determine whether the test bacterial composition has populated the gastrointestinal tract of the mice. Quantitative assessments, including qPCR and traditional microbiological techniques such as colony counting, can additionally or alternatively be performed, at the same time intervals.
Furthermore, the number of sequence counts that correspond exactly to those in the bacterial composition over time can be assessed to determine specifically which components of the bacterial composition reside in the gastrointestinal tract over a particular period of time. In one embodiment, the strains of the bacterial composition persist for a desired period of time. In another embodiment, the components of the bacterial composition persist for a desired period of time, while also increasing the ability of other microbes (such as those present in the environment, food, etc.) to populate the gastrointestinal tract, further increasing overall diversity, as discussed below.
Ability of Bacterial Compositions to Populate Different Regions of the Gastrointestinal Tract
The present bacterial compositions can also be assessed for their ability to populate different regions on the gastrointestinal tract. In one embodiment, a bacterial composition can be chosen for its ability to populate one or more than one region of the gastrointestinal tract, including, but not limited to the stomach, the small intestine (duodenum, jejunum, and ileum), the large intestine (the cecum, the colon (the ascending, transverse, descending, and sigmoid colon), and the rectum).
An in vivo study can be conducted to determine which regions of the gastrointestinal tract a given bacterial composition will populate. A mouse model similar to the one described above can be conducted, except instead of assessing the feces produced by the mice, particular regions of the gastrointestinal tract can be removed and studied individually. For example, at least one particular region of the gastrointestinal tract can be removed and a qualitative or quantitative determination can be performed on the contents of that region of the gastrointestinal tract. In another embodiment, the contents can optionally be removed and the qualitative or quantitative determination may be conducted on the tissue removed from the mouse.
qPCR
As one quantitative method for determining whether a bacterial composition populates the gastrointestinal tract, quantitative PCR (qPCR) can be performed. Standard techniques can be followed to generate a standard curve for the bacterial composition of interest, either for all of the components of the bacterial composition collectively, individually, or in subsets (if applicable). Genomic DNA can be extracted from samples using commercially-available kits, such as the Mo Bio Powersoil®-htp 96 Well Soil DNA Isolation Kit (Mo Bio Laboratories, Carlsbad, Calif.), the Mo Bio Powersoil® DNA Isolation Kit (Mo Bio Laboratories, Carlsbad, Calif.), or the QIAamp DNA Stool Mini Kit (QIAGEN, Valencia, Calif.) according to the manufacturer's instructions.
In some embodiments, qPCR can be conducted using HotMasterMix (5PRIME, Gaithersburg, Md.) and primers specific for the bacterial composition of interest, and may be conducted on a MicroAmp® Fast Optical 96-well Reaction Plate with Barcode (0.1 mL) (Life Technologies, Grand Island, N.Y.) and performed on a BioRad C1000™ Thermal Cycler equipped with a CFX96™ Real-Time System (BioRad, Hercules, Calif.), with fluorescent readings of the FAM and ROX channels. The Cq value for each well on the FAM channel is determined by the CFX Manager™ software version 2.1. The log10(cfu/ml) of each experimental sample is calculated by inputting a given sample's Cq value into linear regression model generated from the standard curve comparing the Cq values of the standard curve wells to the known log10(cfu/ml) of those samples. The skilled artisan may employ alternative qPCR modes.
Methods for Characterization of Bacterial Compositions
In certain embodiments, provided are methods for testing certain characteristics of bacterial compositions. For example, the sensitivity of bacterial compositions to certain environmental variables is determined, e.g., in order to select for particular desirable characteristics in a given composition, formulation and/or use. For example, the constituents in the bacterial composition can be tested for pH resistance, bile acid resistance, and/or antibiotic sensitivity, either individually on a constituent-by-constituent basis or collectively as a bacterial composition comprised of multiple bacterial constituents (collectively referred to in this section as bacterial composition).
pH Sensitivity Testing
If a bacterial composition will be administered other than to the colon or rectum (i.e., for example, an oral route), optionally testing for pH resistance enhances the selection of bacterial compositions that will survive at the highest yield possible through the varying pH environments of the distinct regions of the GI tract. Understanding how the bacterial compositions react to the pH of the GI tract also assists in formulation, so that the number of bacteria in a dosage form can be increased if beneficial and/or so that the composition may be administered in an enteric-coated capsule or tablet or with a buffering or protective composition. As the pH of the stomach can drop to a pH of 1 to 2 after a high-protein meal for a short time before physiological mechanisms adjust it to a pH of 3 to 4 and often resides at a resting pH of 4 to 5, and as the pH of the small intestine can range from a pH of 6 to 7.4, bacterial compositions can be prepared that survive these varying pH ranges (specifically wherein at least 1%, 5%, 10%, 15%, 20%, 25%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, or as much as 100% of the bacteria can survive gut transit times through various pH ranges). This can be tested by exposing the bacterial composition to varying pH ranges for the expected gut transit times through those pH ranges. Therefore, as a nonlimiting example only, 18-hour cultures of bacterial compositions can be grown in standard media, such as gut microbiota medium (“GMM”, see Goodman et al., Extensive personal human gut microbiota culture collections characterized and manipulated in gnotobiotic mice, PNAS 108(15):6252-6257 (2011)) or another animal-products-free medium, with the addition of pH adjusting agents for a pH of 1 to 2 for 30 minutes, a pH of 3 to 4 for 1 hour, a pH of 4 to 5 for 1 to 2 hours, and a pH of 6 to 7.4 for 2.5 to 3 hours. An alternative method for testing stability to acid is described in U.S. Pat. No. 4,839,281. Survival of bacteria may be determined by culturing the bacteria and counting colonies on appropriate selective or non-selective media.
Bile Acid Sensitivity Testing
Additionally, in some embodiments, testing for bile-acid resistance enhances the selection of bacterial compositions that will survive exposures to bile acid during transit through the GI tract. Bile acids are secreted into the small intestine and can, like pH, affect the survival of bacterial compositions. This can be tested by exposing the bacterial compositions to bile acids for the expected gut exposure time to bile acids. For example, bile acid solutions can be prepared at desired concentrations using 0.05 mM Tris at pH 9 as the solvent. After the bile acid is dissolved, the pH of the solution may be adjusted to 7.2 with 10% HCl. Bacterial compositions can be cultured in 2.2 ml of a bile acid composition mimicking the concentration and type of bile acids in the patient, 1.0 ml of 10% sterile-filtered feces media and 0.1 ml of an 18-hour culture of the given strain of bacteria. Incubations may be conducted for from 2.5 to 3 hours or longer. An alternative method for testing stability to bile acid is described in U.S. Pat. No. 4,839,281. Survival of bacteria may be determined by culturing the bacteria and counting colonies on appropriate selective or non-selective media.
Antibiotic Sensitivity Testing
As a further optional sensitivity test, bacterial compositions can be tested for sensitivity to antibiotics. In one embodiment, bacterial compositions can be chosen so that the bacterial constituents are sensitive to antibiotics such that if necessary they can be eliminated or substantially reduced from the patient's gastrointestinal tract by at least one antibiotic targeting the bacterial composition.
Adherence to Gastrointestinal Cells
The bacterial compositions may optionally be tested for the ability to adhere to gastrointestinal cells. A method for testing adherence to gastrointestinal cells is described in U.S. Pat. No. 4,839,281.
Methods for Purifying Spores
Solvent Treatments
To purify the bacterial spores, the fecal material is subjected to one or more solvent treatments. A solvent treatment is a miscible solvent treatment (either partially miscible or fully miscible) or an immiscible solvent treatment. Miscibility is the ability of two liquids to mix with each to form a homogeneous solution. Water and ethanol, for example, are fully miscible such that a mixture containing water and ethanol in any ratio will show only one phase. Miscibility is provided as a wt/wt %, or weight of one solvent in 100 g of final solution. If two solvents are fully miscible in all proportions, their miscibility is 100%. Provided as fully miscible solutions with water are alcohols, e.g., methanol, ethanol, isopropanol, butanol, etc. The alcohols can be provided already combined with water; e.g., a solution containing 10%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, 75%, 89%, 85%, 90%, 95% or greater than 95% Other solvents are only partially miscible, meaning that only some portion will dissolve in water. Diethyl ether, for example, is partially miscible with water. Up to 7 grams of diethyl ether will dissolve in 93 g of water to give a 7% (wt/wt %) solution. If more diethyl ether is added, a two phase solution will result with a distinct diethyl ether layer above the water. Other miscible materials include ethers, dimethoxyethane, or tetrahydrofuran In contrast, an oil such as an alkane and water are immiscible and form two phases. Further, immiscible treatments are optionally combined with a detergent, either an ionic detergent or a non-ionic detergent. Exemplary detergents include Triton X-100, Tween 20, Tween 80, Nonidet P40, a pluronic, or a polyol.
Chromatography Treatments
To purify spore populations, the fecal materials are subjected to one or more chromatographic treatments, either sequentially or in parallel. In a chromatographic treatment, a solution containing the fecal material is contacted with a solid medium containing a hydrophobic interaction chromatographic (HIC) medium or an affinity chromatographic medium. In an alternative embodiment, a solid medium capable of absorbing a residual habitat product present in the fecal material is contacted with a solid medium that adsorbs a residual habitat product. In certain embodiments, the HIC medium contains sepharose or a derivatized sepharose such as butyl sepharose, octyl sepharose, phenyl sepharose, or butyl-s sepharose. In other embodiments, the affinity chromatographic medium contains material derivatized with mucin type I, II, III, IV, V, or VI, or oligosaccharides derived from or similar to those of mucins type I, II, III, IV, V, or VI. Alternatively, the affinity chromatographic medium contains material derivatized with antibodies that recognize spore-forming bacteria.
Mechanical Treatments
Provided herein is the physical disruption of the fecal material, particularly by one or more mechanical treatment such as blending, mixing, shaking, vortexing, impact pulverization, and sonication. As provided herein, the mechanical disrupting treatment substantially disrupts a non-spore material present in the fecal material and does not substantially disrupt a spore present in the fecal material. Mechanical treatments optionally include filtration treatments, where the desired spore populations are retained on a filter while the undesirable (non-spore) fecal components to pass through, and the spore fraction is then recovered from the filter medium. Alternatively, undesirable particulates and eukaryotic cells may be retained on a filter while bacterial cells including spores pass through. In some embodiments the spore fraction retained on the filter medium is subjected to a diafiltration step, wherein the retained spores are contacted with a wash liquid, typically a sterile saline-containing solution or other diluent, in order to further reduce or remove the undesirable fecal components.
Thermal Treatments
Provided herein is the thermal disruption of the fecal material. Generally, the fecal material is mixed in a saline-containing solution such as phosphate-buffered saline (PBS) and subjected to a heated environment, such as a warm room, incubator, water-bath, or the like, such that efficient heat transfer occurs between the heated environment and the fecal material. Preferably the fecal material solution is mixed during the incubation to enhance thermal conductivity and disrupt particulate aggregates. Thermal treatments can be modulated by the temperature of the environment and/or the duration of the thermal treatment. For example, the fecal material or a liquid comprising the fecal material is subjected to a heated environment, e.g., a hot water bath of at least about 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100 or greater than 100 degrees Celsius, for at least about 1, 5, 10, 15, 20, 30, 45 seconds, or 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 25, 30, 40, or 50 minutes, or 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 or more than 10 hours. In certain embodiments the thermal treatment occurs at two different temperatures, such as 30 seconds in a 100 degree Celsius environment followed by 10 minutes in a 50 degree Celsius environment. In preferred embodiments the temperature and duration of the thermal treatment are sufficient to kill or remove pathogenic materials while not substantially damaging or reducing the germination-competency of the spores.
Irradiation Treatments
Provided are methods of treating the fecal material or separated contents of the fecal material with ionizing radiation, typically gamma irradiation, ultraviolet irradiation or electron beam irradiation provided at an energy level sufficient to kill pathogenic materials while not substantially damaging the desired spore populations. For example, ultraviolet radiation at 254 nm provided at an energy level below about 22,000 microwatt seconds per cm2 will not generally destroy desired spores.
Centrifugation and Density Separation Treatments
Provided are methods of separating desired spore populations from the other components of the fecal material by centrifugation. A solution containing the fecal material is subjected to one or more centrifugation treatments, e.g., at about 1000×g, 2000×g, 3000×g, 4000×g, 5000×g, 6000×g, 7000×g, 8000×g or greater than 8000×g. Differential centrifugation separates desired spores from undesired non-spore material; at low forces the spores are retained in solution, while at higher forces the spores are pelleted while smaller impurities (e.g., virus particles, phage) are retained in solution. For example, a first low force centrifugation pellets fibrous materials; a second, higher force centrifugation pellets undesired eukaryotic cells, and a third, still higher force centrifugation pellets the desired spores while small contaminants remain in suspension. In some embodiments density or mobility gradients or cushions (e.g., step cushions), such as Percoll, Ficoll, Nycodenz, Histodenz or sucrose gradients, are used to separate desired spore populations from other materials in the fecal material.
Also provided herein are methods of producing spore populations that combine two or more of the treatments described herein in order to synergistically purify the desired spores while killing or removing undesired materials and/or activities from the spore population. It is generally desirable to retain the spore populations under non-germinating and non-growth promoting conditions and media, in order to minimize the growth of pathogenic bacteria present in the spore populations and to minimize the germination of spores into vegetative bacterial cells.
Pharmaceutical Compositions and Formulations of the Invention
Formulations
Provided are formulations for administration to humans and other subjects in need thereof. Generally the bacterial compositions are combined with additional active and/or inactive materials in order to produce a final product, which may be in single dosage unit or in a multi-dose format.
In some embodiments, the composition comprises at least one carbohydrate. A “carbohydrate” refers to a sugar or polymer of sugars. The terms “saccharide,” “polysaccharide,” “carbohydrate,” and “oligosaccharide” may be used interchangeably. Most carbohydrates are aldehydes or ketones with many hydroxyl groups, usually one on each carbon atom of the molecule. Carbohydrates generally have the molecular formula CnH2nOn. A carbohydrate can be a monosaccharide, a disaccharide, trisaccharide, oligosaccharide, or polysaccharide. The most basic carbohydrate is a monosaccharide, such as glucose, sucrose, galactose, mannose, ribose, arabinose, xylose, and fructose. Disaccharides are two joined monosaccharides. Exemplary disaccharides include sucrose, maltose, cellobiose, and lactose. Typically, an oligosaccharide includes between three and six monosaccharide units (e.g., raffinose, stachyose), and polysaccharides include six or more monosaccharide units. Exemplary polysaccharides include starch, glycogen, and cellulose. Carbohydrates can contain modified saccharide units, such as 2′-deoxyribose wherein a hydroxyl group is removed, 2′-fluororibose wherein a hydroxyl group is replace with a fluorine, or N-acetylglucosamine, a nitrogen-containing form of glucose (e.g., 2′-fluororibose, deoxyribose, and hexose). Carbohydrates can exist in many different forms, for example, conformers, cyclic forms, acyclic forms, stereoisomers, tautomers, anomers, and isomers.
In some embodiments, the composition comprises at least one lipid. As used herein, a “lipid” includes fats, oils, triglycerides, cholesterol, phospholipids, fatty acids in any form including free fatty acids. Fats, oils and fatty acids can be saturated, unsaturated (cis or trans) or partially unsaturated (cis or trans). In some embodiments, the lipid comprises at least one fatty acid selected from lauric acid (12:0), myristic acid (14:0), palmitic acid (16:0), palmitoleic acid (16:1), margaric acid (17:0), heptadecenoic acid (17:1), stearic acid (18:0), oleic acid (18:1), linoleic acid (18:2), linolenic acid (18:3), octadecatetraenoic acid (18:4), arachidic acid (20:0), eicosenoic acid (20:1), eicosadienoic acid (20:2), eicosatetraenoic acid (20:4), eicosapentaenoic acid (20:5) (EPA), docosanoic acid (22:0), docosenoic acid (22:1), docosapentaenoic acid (22:5), docosahexaenoic acid (22:6) (DHA), and tetracosanoic acid (24:0). In other embodiments, the composition comprises at least one modified lipid, for example, a lipid that has been modified by cooking.
In some embodiments, the composition comprises at least one supplemental mineral or mineral source. Examples of minerals include, without limitation: chloride, sodium, calcium, iron, chromium, copper, iodine, zinc, magnesium, manganese, molybdenum, phosphorus, potassium, and selenium. Suitable forms of any of the foregoing minerals include soluble mineral salts, slightly soluble mineral salts, insoluble mineral salts, chelated minerals, mineral complexes, non-reactive minerals such as carbonyl minerals, and reduced minerals, and combinations thereof.
In certain embodiments, the composition comprises at least one supplemental vitamin. The at least one vitamin can be fat-soluble or water soluble vitamins. Suitable vitamins include but are not limited to vitamin C, vitamin A, vitamin E, vitamin B12, vitamin K, riboflavin, niacin, vitamin D, vitamin B6, folic acid, pyridoxine, thiamine, pantothenic acid, and biotin. Suitable forms of any of the foregoing are salts of the vitamin, derivatives of the vitamin, compounds having the same or similar activity of the vitamin, and metabolites of the vitamin.
In other embodiments, the composition comprises an excipient. Non-limiting examples of suitable excipients include a buffering agent, a preservative, a stabilizer, a binder, a compaction agent, a lubricant, a dispersion enhancer, a disintegration agent, a flavoring agent, a sweetener, and a coloring agent.
In another embodiment, the excipient is a buffering agent. Non-limiting examples of suitable buffering agents include sodium citrate, magnesium carbonate, magnesium bicarbonate, calcium carbonate, and calcium bicarbonate.
In some embodiments, the excipient comprises a preservative. Non-limiting examples of suitable preservatives include antioxidants, such as alpha-tocopherol and ascorbate, and antimicrobials, such as parabens, chlorobutanol, and phenol.
In other embodiments, the composition comprises a binder as an excipient. Non-limiting examples of suitable binders include starches, pregelatinized starches, gelatin, polyvinylpyrolidone, cellulose, methylcellulose, sodium carboxymethylcellulose, ethylcellulose, polyacrylamides, polyvinyloxoazolidone, polyvinylalcohols, C12-C18 fatty acid alcohol, polyethylene glycol, polyols, saccharides, oligosaccharides, and combinations thereof.
In another embodiment, the composition comprises a lubricant as an excipient. Non-limiting examples of suitable lubricants include magnesium stearate, calcium stearate, zinc stearate, hydrogenated vegetable oils, sterotex, polyoxyethylene monostearate, talc, polyethyleneglycol, sodium benzoate, sodium lauryl sulfate, magnesium lauryl sulfate, and light mineral oil.
In other embodiments, the composition comprises a dispersion enhancer as an excipient. Non-limiting examples of suitable dispersants include starch, alginic acid, polyvinylpyrrolidones, guar gum, kaolin, bentonite, purified wood cellulose, sodium starch glycolate, isoamorphous silicate, and microcrystalline cellulose as high HLB emulsifier surfactants.
In some embodiments, the composition comprises a disintegrant as an excipient. In other embodiments, the disintegrant is a non-effervescent disintegrant. Non-limiting examples of suitable non-effervescent disintegrants include starches such as corn starch, potato starch, pregelatinized and modified starches thereof, sweeteners, clays, such as bentonite, micro-crystalline cellulose, alginates, sodium starch glycolate, gums such as agar, guar, locust bean, karaya, pecitin, and tragacanth. In another embodiment, the disintegrant is an effervescent disintegrant. Non-limiting examples of suitable effervescent disintegrants include sodium bicarbonate in combination with citric acid, and sodium bicarbonate in combination with tartaric acid.
In another embodiment, the excipient comprises a flavoring agent. Flavoring agents can be chosen from synthetic flavor oils and flavoring aromatics; natural oils; extracts from plants, leaves, flowers, and fruits; and combinations thereof. In some embodiments the flavoring agent is selected from cinnamon oils; oil of wintergreen; peppermint oils; clover oil; hay oil; anise oil; eucalyptus; vanilla; citrus oil such as lemon oil, orange oil, grape and grapefruit oil; and fruit essences including apple, peach, pear, strawberry, raspberry, cherry, plum, pineapple, and apricot.
In other embodiments, the excipient comprises a sweetener. Non-limiting examples of suitable sweeteners include glucose (corn syrup), dextrose, invert sugar, fructose, and mixtures thereof (when not used as a carrier); saccharin and its various salts such as the sodium salt; dipeptide sweeteners such as aspartame; dihydrochalcone compounds, glycyrrhizin; Stevia Rebaudiana (Stevioside); chloro derivatives of sucrose such as sucralose; and sugar alcohols such as sorbitol, mannitol, sylitol, and the like. Also contemplated are hydrogenated starch hydrolysates and the synthetic sweetener 3,6-dihydro-6-methyl-1,2,3-oxathiazin-4-one-2,2-dioxide, particularly the potassium salt (acesulfame-K), and sodium and calcium salts thereof.
In yet other embodiments, the composition comprises a coloring agent. Non-limiting examples of suitable color agents include food, drug and cosmetic colors (FD&C), drug and cosmetic colors (D&C), and external drug and cosmetic colors (Ext. D&C). The coloring agents can be used as dyes or their corresponding lakes.
The weight fraction of the excipient or combination of excipients in the formulation is usually about 99% or less, such as about 95% or less, about 90% or less, about 85% or less, about 80% or less, about 75% or less, about 70% or less, about 65% or less, about 60% or less, about 55% or less, 50% or less, about 45% or less, about 40% or less, about 35% or less, about 30% or less, about 25% or less, about 20% or less, about 15% or less, about 10% or less, about 5% or less, about 2% or less, or about 1% or less of the total weight of the composition.
The bacterial compositions disclosed herein can be formulated into a variety of forms and administered by a number of different means. The compositions can be administered orally, rectally, or parenterally, in formulations containing conventionally acceptable carriers, adjuvants, and vehicles as desired. The term “parenteral” as used herein includes subcutaneous, intravenous, intramuscular, or intrasternal injection and infusion techniques. In an exemplary embodiment, the bacterial composition is administered orally.
Solid dosage forms for oral administration include capsules, tablets, caplets, pills, troches, lozenges, powders, and granules. A capsule typically comprises a core material comprising a bacterial composition and a shell wall that encapsulates the core material. In some embodiments, the core material comprises at least one of a solid, a liquid, and an emulsion. In other embodiments, the shell wall material comprises at least one of a soft gelatin, a hard gelatin, and a polymer. Suitable polymers include, but are not limited to: cellulosic polymers such as hydroxypropyl cellulose, hydroxyethyl cellulose, hydroxypropyl methyl cellulose (HPMC), methyl cellulose, ethyl cellulose, cellulose acetate, cellulose acetate phthalate, cellulose acetate trimellitate, hydroxypropylmethyl cellulose phthalate, hydroxypropylmethyl cellulose succinate and carboxymethylcellulose sodium; acrylic acid polymers and copolymers, such as those formed from acrylic acid, methacrylic acid, methyl acrylate, ammonio methylacrylate, ethyl acrylate, methyl methacrylate and/or ethyl methacrylate (e.g., those copolymers sold under the trade name “Eudragit”); vinyl polymers and copolymers such as polyvinyl pyrrolidone, polyvinyl acetate, polyvinylacetate phthalate, vinylacetate crotonic acid copolymer, and ethylene-vinyl acetate copolymers; and shellac (purified lac). In yet other embodiments, at least one polymer functions as taste-masking agents.
Tablets, pills, and the like can be compressed, multiply compressed, multiply layered, and/or coated. The coating can be single or multiple. In one embodiment, the coating material comprises at least one of a saccharide, a polysaccharide, and glycoproteins extracted from at least one of a plant, a fungus, and a microbe. Non-limiting examples include corn starch, wheat starch, potato starch, tapioca starch, cellulose, hemicellulose, dextrans, maltodextrin, cyclodextrins, inulins, pectin, mannans, gum arabic, locust bean gum, mesquite gum, guar gum, gum karaya, gum ghatti, tragacanth gum, funori, carrageenans, agar, alginates, chitosans, or gellan gum. In some embodiments the coating material comprises a protein. In another embodiment, the coating material comprises at least one of a fat and an oil. In other embodiments, the at least one of a fat and an oil is high temperature melting. In yet another embodiment, the at least one of a fat and an oil is hydrogenated or partially hydrogenated. In one embodiment, the at least one of a fat and an oil is derived from a plant. In other embodiments, the at least one of a fat and an oil comprises at least one of glycerides, free fatty acids, and fatty acid esters. In some embodiments, the coating material comprises at least one edible wax. The edible wax can be derived from animals, insects, or plants. Non-limiting examples include beeswax, lanolin, bayberry wax, carnauba wax, and rice bran wax. Tablets and pills can additionally be prepared with enteric coatings.
Alternatively, powders or granules embodying the bacterial compositions disclosed herein can be incorporated into a food product. In some embodiments, the food product is a drink for oral administration. Non-limiting examples of a suitable drink include fruit juice, a fruit drink, an artificially flavored drink, an artificially sweetened drink, a carbonated beverage, a sports drink, a liquid diary product, a shake, an alcoholic beverage, a caffeinated beverage, infant formula and so forth. Other suitable means for oral administration include aqueous and nonaqueous solutions, emulsions, suspensions and solutions and/or suspensions reconstituted from non-effervescent granules, containing at least one of suitable solvents, preservatives, emulsifying agents, suspending agents, diluents, sweeteners, coloring agents, and flavoring agents.
In some embodiments, the food product can be a solid foodstuff. Suitable examples of a solid foodstuff include without limitation a food bar, a snack bar, a cookie, a brownie, a muffin, a cracker, an ice cream bar, a frozen yogurt bar, and the like.
In other embodiments, the compositions disclosed herein are incorporated into a therapeutic food. In some embodiments, the therapeutic food is a ready-to-use food that optionally contains some or all essential macronutrients and micronutrients. In another embodiment, the compositions disclosed herein are incorporated into a supplementary food that is designed to be blended into an existing meal. In one embodiment, the supplemental food contains some or all essential macronutrients and micronutrients. In another embodiment, the bacterial compositions disclosed herein are blended with or added to an existing food to fortify the food's protein nutrition. Examples include food staples (grain, salt, sugar, cooking oil, margarine), beverages (coffee, tea, soda, beer, liquor, sports drinks), snacks, sweets and other foods.
In one embodiment, the formulations are filled into gelatin capsules for oral administration. An example of an appropriate capsule is a 250 mg gelatin capsule containing from 10 (up to 100 mg) of lyophilized powder (108 to 1011 bacteria), 160 mg microcrystalline cellulose, 77.5 mg gelatin, and 2.5 mg magnesium stearate. In an alternative embodiment, from 105 to 1012 bacteria may be used, 105 to 107, 106 to 107, or 108 to 1010, with attendant adjustments of the excipients if necessary. In an alternative embodiment, an enteric-coated capsule or tablet or with a buffering or protective composition can be used.
Below are examples of specific embodiments for carrying out the present invention. The examples are offered for illustrative purposes only, and are not intended to limit the scope of the present invention in any way. Efforts have been made to ensure accuracy with respect to numbers used (e.g., amounts, temperatures, etc.), but some experimental error and deviation should, of course, be allowed for.
The practice of the present invention will employ, unless otherwise indicated, conventional methods of protein chemistry, biochemistry, recombinant DNA techniques and pharmacology, within the skill of the art. Such techniques are explained fully in the literature. See, e.g., T. E. Creighton, Proteins: Structures and Molecular Properties (W.H. Freeman and Company, 1993); A. L. Lehninger, Biochemistry (Worth Publishers, Inc., current addition); Sambrook, et al., Molecular Cloning: A Laboratory Manual (2nd Edition, 1989); Methods In Enzymology (S. Colowick and N. Kaplan eds., Academic Press, Inc.); Remington's Pharmaceutical Sciences, 18th Edition (Easton, Pa.: Mack Publishing Company, 1990); Carey and Sundberg Advanced Organic Chemistry 3rd Ed. (Plenum Press) Vols A and B(1992).
The identity of the bacterial species which grew up from a complex fraction can be determined in multiple ways. First, individual colonies can be picked into liquid media in a 96 well format, grown up and saved as 15% glycerol stocks at −80 C. Aliquots of the cultures can be placed into cell lysis buffer and colony PCR methods can be used to amplify and sequence the 16S rDNA gene (Example 2). Alternatively, colonies may be streaked to purity in several passages on solid media. Well separated colonies are streaked onto the fresh plates of the same kind and incubated for 48-72 hours at 37 C. The process is repeated multiple times in order to ensure purity. Pure cultures can be analyzed by phenotypic- or sequence-based methods, including 16S rDNA amplification and sequencing as described in Examples 2 & 3. Sequence characterization of pure isolates or mixed communities e.g. plate scrapes and spore fractions can also include whole genome shotgun sequencing. The latter is valuable to determine the presence of genes associated with sporulation, antibiotic resistance, pathogenicity, and virulence. Colonies can also be scraped from plates en masse and sequenced using a massively parallel sequencing method as described in Examples 2 & 3 such that individual 16S signatures can be identified in a complex mixture. Optionally, the sample can be sequenced prior to germination (if appropriate DNA isolation procedures are used to lsye and release the DNA from spores) in order to compare the diversity of germinable species with the total number of species in a spore sample. As an alternative or complementary approach to 16S analysis, MALDI-TOF-mass spec can also be used for species identification (as reviewed in Anaerobe 22:123).
Method for Determining 16S Sequence
OTUs may be defined either by full 16S sequencing of the rRNA gene, by sequencing of a specific hypervariable region of this gene (i.e. V1, V2, V3, V4, V5, V6, V7, V8, or V9), or by sequencing of any combination of hypervariable regions from this gene (e.g. V1-3 or V3-5). The bacterial 16S rDNA is approximately 1500 nucleotides in length and is used in reconstructing the evolutionary relationships and sequence similarity of one bacterial isolate to another using phylogenetic approaches. 16S sequences are used for phylogenetic reconstruction as they are in general highly conserved, but contain specific hypervariable regions that harbor sufficient nucleotide diversity to differentiate genera and species of most microbes.
Using well known techniques, in order to determine the full 16S sequence or the sequence of any hypervariable region of the 16S sequence, genomic DNA is extracted from a bacterial sample, the 16S rDNA (full region or specific hypervariable regions) amplified using polymerase chain reaction (PCR), the PCR products cleaned, and nucleotide sequences delineated to determine the genetic composition of 16S gene or subdomain of the gene. If full 16S sequencing is performed, the sequencing method used may be, but is not limited to, Sanger sequencing. If one or more hypervariable regions are used, such as the V4 region, the sequencing may be, but is not limited to being, performed using the Sanger method or using a next-generation sequencing method, such as an Illumina (sequencing by synthesis) method using barcoded primers allowing for multiplex reactions.
In addition to the 16S rRNA gene, one may define an OTU by sequencing a selected set of genes that are known to be marker genes for a given species or taxonomic group of OTUs. These genes may alternatively be assayed using a PCR-based screening strategy. As example, various strains of pathogenic Escherichia coli can be distinguished using DNAs from the genes that encode heat-labile (LTI, LTIIa, and LTIIb) and heat-stable (STI and STII) toxins, verotoxin types 1, 2, and 2e (VT1, VT2, and VT2e, respectively), cytotoxic necrotizing factors (CNF1 and CNF2), attaching and effacing mechanisms (eaeA), enteroaggregative mechanisms (Eagg), and enteroinvasive mechanisms (Einv). The optimal genes to utilize for taxonomic assignment of OTUs by use of marker genes will be familiar to one with ordinary skill of the art of sequence based taxonomic identification.
Genomic DNA Extraction
Genomic DNA is extracted from pure microbial cultures using a hot alkaline lysis method. 1 μl of microbial culture is added to 9 μl of Lysis Buffer (25 mM NaOH, 0.2 mM EDTA) and the mixture is incubated at 95° C. for 30 minutes. Subsequently, the samples are cooled to 4° C. and neutralized by the addition of 10 μl of Neutralization Buffer (40 mM Tris-HCl) and then diluted 10-fold in Elution Buffer (10 mM Tris-HCl). Alternatively, genomic DNA is extracted from pure microbial cultures using commercially available kits such as the Mo Bio Ultraclean® Microbial DNA Isolation Kit (Mo Bio Laboratories, Carlsbad, Calif.) or by standard methods known to those skilled in the art.
Amplification of 16S Sequences for Downstream Sanger Sequencing
To amplify bacterial 16S rDNA (
The PCR is performed on commercially available thermocyclers such as a BioRad MyCycler™ Thermal Cycler (BioRad, Hercules, Calif.). The reactions are run at 94° C. for 2 minutes followed by 30 cycles of 94° C. for 30 seconds, 51° C. for 30 seconds, and 68° C. for 1 minute 30 seconds, followed by a 7 minute extension at 72° C. and an indefinite hold at 4° C. Following PCR, gel electrophoresis of a portion of the reaction products is used to confirm successful amplification of a ˜1.5 kb product.
To remove nucleotides and oligonucleotides from the PCR products, 2 μl of HT ExoSap-IT (Affymetrix, Santa Clara, Calif.) is added to 5 μl of PCR product followed by a 15 minute incubation at 37° C. and then a 15 minute inactivation at 80° C.
Amplification of 16S Sequences for Downstream Characterization by Massively Parallel Sequencing Technologies
Amplification performed for downstream sequencing by short read technologies such as Illumina require amplification using primers known to those skilled in the art that additionally include a sequence-based barcoded tag. As example, to amplify the 16s hypervariable region V4 region of bacterial 16S rDNA, 2 μl of extracted gDNA is added to a 20 μl final volume PCR reaction. The PCR reaction also contains 1× HotMasterMix (5PRIME, Gaithersburg, Md.), 200 nM of V4_515 f_adapt (AATGATACGGCGACCACCGAGATCTACACTATGGTAATTGTGTGCCAGCMGCCGC GGTAA, IDT, Coralville, Iowa), and 200 nM of barcoded 806rbc (CAAGCAGAAGACGGCATACGAGAT_12 bpGolayBarcode_AGTCAGTCAGCCGGACT ACHVGGGTWTCTAAT, IDT, Coralville, Iowa), with PCR Water (Mo Bio Laboratories, Carlsbad, Calif.) for the balance of the volume. These primers incorporate barcoded adapters for Illumina sequencing by synthesis. Optionally, identical replicate, triplicate, or quadruplicate reactions may be performed. Alternatively other universal bacterial primers or thermostable polymerases known to those skilled in the art are used to obtain different amplification and sequencing error rates as well as results on alternative sequencing technologies.
The PCR amplification is performed on commercially available thermocyclers such as a BioRad MyCycler™ Thermal Cycler (BioRad, Hercules, Calif.). The reactions are run at 94° C. for 3 minutes followed by 25 cycles of 94° C. for 45 seconds, 50° C. for 1 minute, and 72° C. for 1 minute 30 seconds, followed by a 10 minute extension at 72° C. and a indefinite hold at 4° C. Following PCR, gel electrophoresis of a portion of the reaction products is used to confirm successful amplification of a ˜1.5 kb product. PCR cleanup is performed as specified in the previous example.
Sanger Sequencing of Target Amplicons from Pure Homogeneous Samples
To detect nucleic acids for each sample, two sequencing reactions are performed to generate a forward and reverse sequencing read. For full-length 16s sequencing primers 27f and 1492r are used. 40 ng of ExoSap-IT-cleaned PCR products are mixed with 25 pmol of sequencing primer and Mo Bio Molecular Biology Grade Water (Mo Bio Laboratories, Carlsbad, Calif.) to 15 μl total volume. This reaction is submitted to a commercial sequencing organization such as Genewiz (South Plainfield, N.J.) for Sanger sequencing.
Massively Parallel Sequencing of Target Amplicons from Heterogeneous Samples
DNA Quantification & Library Construction.
The cleaned PCR amplification products are quantified using the Quant-iT™ PicoGreen® dsDNA Assay Kit (Life Technologies, Grand Island, N.Y.) according to the manufacturer's instructions. Following quantification, the barcoded cleaned PCR products are combined such that each distinct PCR product is at an equimolar ratio to create a prepared Illumina library.
Nucleic Acid Detection.
The prepared library is sequenced on Illumina HiSeq or MiSeq sequencers (Illumina, San Diego, Calif.) with cluster generation, template hybridization, iso-thermal amplification, linearization, blocking and denaturization and hybridization of the sequencing primers performed according to the manufacturer's instructions. 16SV4SeqFw (TATGGTAATTGTGTGCCAGCMGCCGCGGTAA), 16SV4SeqRev (AGTCAGTCAGCCGGACTACHVGGGTWTCTAAT), and 16SV4Index (ATTAGAWACCCBDGTAGTCCGGCTGACTGACT) (IDT, Coralville, Iowa) are used for sequencing. Other sequencing technologies can be used such as but not limited to 454, Pacific Biosciences, Helicos, Ion Torrent, and Nanopore using protocols that are standard to someone skilled in the art of genomic sequencing.
Primary Read Annotation
Nucleic acid sequences are analyzed and annotations are to define taxonomic assignments using sequence similarity and phylogenetic placement methods or a combination of the two strategies. A similar approach can be used to annotate protein names, transcription factor names, and any other classification schema for nucleic acid sequences. Sequence similarity based methods include those familiar to individuals skilled in the art including, but not limited to BLAST, BLASTx, tBLASTn, tBLASTx, RDP-classifier, DNAclust, and various implementations of these algorithms such as Qiime or Mothur. These methods rely on mapping a sequence read to a reference database and selecting the match with the best score and e-value. Common databases include, but are not limited to the Human Microbiome Project, NCBI non-redundant database, Greengenes, RDP, and Silva. Phylogenetic methods can be used in combination with sequence similarity methods to improve the calling accuracy of an annotation or taxonomic assignment. Here tree topologies and nodal structure are used to refine the resolution of the analysis. In this approach we analyze nucleic acid sequences using one of numerous sequence similarity approaches and leverage phylogenetic methods that are well known to those skilled in the art, including but not limited to maximum likelihood phylogenetic reconstruction (see e.g. Liu K, Linder C R, and Warnow T. 2011. RAxML and FastTree: Comparing Two Methods for Large-Scale Maximum Likelihood Phylogeny Estimation. PLoS ONE 6: e27731. McGuire G, Denham M C, and Balding D J. 2001. Models of sequence evolution for DNA sequences containing gaps. Mol. Biol. Evol 18: 481-490. Wr{right arrow over (o)}bel B. 2008. Statistical measures of uncertainty for branches in phylogenetic trees inferred from molecular sequences by using model-based methods. J. Appl. Genet. 49: 49-67.) Sequence reads are placed into a reference phylogeny comprised of appropriate reference sequences. Annotations are made based on the placement of the read in the phylogenetic tree. The certainty or significance of the OTU annotation is defined based on the OTU's sequence similarity to a reference nucleic acid sequence and the proximity of the OTU sequence relative to one or more reference sequences in the phylogeny. As an example, the specificity of a taxonomic assignment is defined with confidence at the the level of Family, Genus, Species, or Strain with the confidence determined based on the position of bootstrap supported branches in the reference phylogenetic tree relative to the placement of the OTU sequence being interrogated.
Clade Assignments
The ability of 16S-V4 OTU identification to assign an OTU as a specific species depends in part on the resolving power of the 16S-V4 region of the 16S gene for a particular species or group of species. Both the density of available reference 16S sequences for different regions of the tree as well as the inherent variability in the 16S gene between different species will determine the definitiveness of a taxonomic annotation. Given the topological nature of a phylogenetic tree and the fact that tree represents hierarchical relationships of OTUs to one another based on their sequence similarity and an underlying evolutionary model, taxonomic annotations of a read can be rolled up to a higher level using a clade-based assignment procedure (Table 1). Using this approach, clades are defined based on the topology of a phylogenetic tree that is constructed from full-length 16S sequences using maximum likelihood or other phylogenetic models familiar to individuals with ordinary skill in the art of phylogenetics. Clades are constructed to ensure that all OTUs in a given clade are: (i) within a specified number of bootstrap supported nodes from one another (generally, 1-5 bootstraps), and (ii) within a 5% genetic similarity. OTUs that are within the same clade can be distinguished as genetically and phylogenetically distinct from OTUs in a different clade based on 16S-V4 sequence data. OTUs falling within the same clade are evolutionarily closely related and may or may not be distinguishable from one another using 16S-V4 sequence data. The power of clade based analysis is that members of the same clade, due to their evolutionary relatedness, are likely to play similar functional roles in a microbial ecology such as that found in the human gut. Compositions substituting one species with another from the same clade are likely to have conserved ecological function and therefore are useful in the present invention.
Notably, 16S sequences of isolates of a given OTU are phylogenetically placed within their respective clades, sometimes in conflict with the microbiological-based assignment of species and genus that may have preceded 16S-based assignment. Discrepancies between taxonomic assignment based on microbiological characteristics versus genetic sequencing are known to exist from the literature.
Mixtures of bacteria can include species that are in spore form. Germinating a spore fraction increases the number of viable bacteria that will grow on various media types. To germinate a population of spores, the sample is moved to the anaerobic chamber, resuspended in prereduced PBS, mixed and incubated for 1 hour at 37 C to allow for germination. Germinants can include amino-acids (e.g., alanine, glycine), sugars (e.g., fructose), nucleosides (e.g., inosine), bile salts (e.g., cholate and taurocholate), metal cations (e.g., Mg2+, Ca2+), fatty acids, and long-chain alkyl amines (e.g., dodecylamine, Germination of bacterial spores with alkyl primary amines” J. Bacteriology, 1961.). Mixtures of these or more complex natural mixtures, such as rumen fluid or Oxgall, can be used to induce germination. Oxgall is dehydrated bovine bile composed of fatty acids, bile acids, inorganic salts, sulfates, bile pigments, cholesterol, mucin, lecithin, glycuronic acids, porphyrins, and urea. The germination can also be performed in a growth medium like prereduced BHIS/oxgall germination medium, in which BHIS (Brain heart infusion powder (37 g/L), yeast extract (5 g/L), L-cysteine HCl (1 g/L)) provides peptides, amino acids, inorganic ions and sugars in the complex BHI and yeast extract mixtures and Oxgall provides additional bile acid germinants.
In addition, pressure may be used to germinate spores. The selection of germinants can vary with the microbe being sought. Different species require different germinants and different isolates of the same species can require different germinants for optimal germination. Finally, it is important to dilute the mixture prior to plating because some germinants are inhibitory to growth of the vegetative-state microorganisms. For instance, it has been shown that alkyl amines must be neutralized with anionic lipophiles in order to promote optimal growth. Bile acids can also inhibit growth of some organisms despite promoting their germination, and must be diluted away prior to plating for viable cells.
For example, BHIS/oxgall solution is used as a germinant and contains 0.5×BHIS medium with 0.25% oxgall (dehydrated bovine bile) where 1×BHIS medium contains the following per L of solution: 6 g Brain Heart Infusion from solids, 7 g peptic digest of animal tissue, 14.5 g of pancreatic digest of casein, 5 g of yeast extract, 5 g sodium chloride, 2 g glucose, 2.5 g disodium phosphate, and 1 g cysteine. Additionally, Ca-DPA is a germinant and contains 40 mM CaCl2, and 40 mM dipicolinic acid (DPA). Rumen fluid (Bar Diamond, Inc.) is also a germinant. Simulated gastric fluid (Ricca Chemical) is a germinant and is 0.2% (w/v) Sodium Chloride in 0.7% (v/v) Hydrochloric Acid. Mucin medium is a germinant and prepared by adding the following items to 1 L of distilled sterile water: 0.4 g KH2PO4, 0.53 g Na2HPO4, 0.3 g NH4Cl, 0.3 g NaCl, 0.1 g MgCl2×6H2O, 0.11 g CaCl2, 1 ml alkaline trace element solution, 1 ml acid trace element solution, 1 ml vitamin solution, 0.5 mg resazurin, 4 g NaHCO3, 0.25 g Na2S×9 H2O. The trace element and vitamin solutions prepared as described previously (Stams et al., 1993). All compounds were autoclaved, except the vitamins, which were filter-sterilized. The basal medium was supplemented with 0.7% (v/v) clarified, sterile rumen fluid and 0.25% (v/v) commercial hog gastric mucin (Type III; Sigma), purified by ethanol precipitation as described previously (Miller & Hoskins, 1981). This medium is referred herein as mucin medium.
Fetal Bovine Serum (Gibco) can be used as a germinant and contains 5% FBS heat inactivated, in Phosphate Buffered Saline (PBS, Fisher Scientific) containing 0.137M Sodium Chloride, 0.0027M Potassium Chloride, 0.0119M Phosphate Buffer. Thioglycollate is a germinant as described previously (Kamiya et al Journal of Medical Microbiology 1989) and contains 0.25M (pH10) sodium thioglycollate. Dodecylamine solution containing 1 mM dodecylamine in PBS is a germinant. A sugar solution can be used as a germinant and contains 0.2% fructose, 0.2% glucose, and 0.2% mannitol. Amino acid solution can also be used as a germinant and contains 5 mM alanine, 1 mM arginine, 1 mM histidine, 1 mM lysine, 1 mM proline, 1 mM asparagine, 1 mM aspartic acid, 1 mM phenylalanine. A germinant mixture referred to herein as Germix 3 can be a germinant and contains 5 mM alanine, 1 mM arginine, 1 mM histidine, 1 mM lysine, 1 mM proline, 1 mM asparagine, 1 mM aspartic acid, 1 mM phenylalanine, 0.2% taurocholate, 0.2% fructose, 0.2% mannitol, 0.2% glucose, 1 mM inosine, 2.5 mM Ca-DPA, and 5 mM KCl. BHIS medium+DPA is a germinant mixture and contains BHIS medium and 2 mM Ca-DPA. Escherichia coli spent medium supernatant referred to herein as EcSN is a germinant and is prepared by growing E. coli MG1655 in SweetB/Fos inulin medium anaerobically for 48 hr, spinning down cells at 20,000 rcf for 20 minutes, collecting the supernatant and heating to 60 C for 40 min. Finally, the solution is filter sterilized and used as a germinant solution.
To purify and selectively isolate efficacious spores from fecal material a donation is first blended with saline using a homogenization device (e.g., laboratory blender) to produce a 20% slurry (w/v). 100% ethanol is added for an inactivation treatment that lasts 10 seconds to 1 hour. The final alcohol concentration can range from 30-90%, preferably 50-70%. High speed centrifugation (3200 rcf for 10 min) is performed to remove solvent and the pellet is retained and washed. Subsequently, once the washed pellet is resuspended, a low speed centrifugation step (200 rcf for 4 min) is performed to remove large particulate vegetative matter and the supernatant containing the spores is retained. High speed centrifugation (3200 rcf for 10 min) is performed on the supernatant to concentrate the spore material. The pellet is then washed and resuspended to generate a 20% slurry. This is the ethanol treated spore preparation. The concentrated slurry is then separated with a density based gradient e.g. a CsCl gradient, sucrose gradient or combination of the two generating a ethanol treated, gradient-purified spore preparation. For example, a CsCl gradient is performed by loading a 20% volume of spore suspension on top a 80% volume of a stepwise CsCl gradient (w/v) containing the steps of 64%, 50%, 40% CsCl (w/v) and centrifuging for 20 min at 3200 rcf. The spore fraction is then run on a sucrose step gradient with steps of 67%, 50%, 40%, and 30% (w/v). When centrifuged in a swinging bucket rotor for 10 min at 3200 rcf. The spores run roughly in the 30% and 40% sucrose fractions. The lower spore fraction (
Furthermore, growth of spores after treatment with a germinant can also be used to quantify a viable spore population. Briefly, samples were incubated with a germinant (Oxgall, 0.25% for up to 1 hour), diluted and plated anaerobically on BBA (Brucella Blood Agar) or similar media (e.g. see Examples 4 and 5). Individual colonies were picked and DNA isolated for full-length 16S sequencing to identify the species composition (e.g. see examples 2 and 3). Analysis revealed that 22 species were observed in total (Table 2) with a vast majority present in both the material purified with the gradient and without the gradient, indicating no or inconsequential shift in the ecology as a result of gradient purification. Spore yield calculations demonstrate an efficient recovery of 38% of the spores from the initial fecal material as measured by germination and plating of spores on BBA or measuring DPA count in the sample.
To test the therapeutic potential of the bacterial composition such as but not limited to a spore population, a prophylactic mouse model of C. difficile infection (model based on Chen, et al., A mouse model of Clostridium difficile associated disease, Gastroenterology 135(6):1984-1992) was used. Two cages of five mice each were tested for each arm of the experiment. All mice received an antibiotic cocktail consisting of 10% glucose, kanamycin (0.5 mg/ml), gentamicin (0.044 mg/ml), colistin (1062.5 U/ml), metronidazole (0.269 mg/ml), ciprofloxacin (0.156 mg/ml), ampicillin (0.1 mg/ml) and Vancomycin (0.056 mg/ml) in their drinking water on days −14 through −5 and a dose of 10 mg/kg Clindamycin by oral gavage on day −3. On day −1, they received either the test article or vehicle control via oral gavage. On day 0 they were challenged by administration of approximately 4.5 log 10 cfu of C. difficile (ATCC 43255) via oral gavage. Optionally a positive control group received vancomycin from day −1 through day 3 in addition to the antibiotic protocol and C. difficile challenge specified above. Feces were collected from the cages for analysis of bacterial carriage, mortality was assessed every day from day 0 to day 6 and the weight and subsequent weight change of the animal was assessed with weight loss being associated with C. difficile infection. Mortality and reduced weight loss of the test article compared to the vehicle were used to assess the success of the test article. Additionally, a C. difficile symptom scoring was performed each day from day −1 through day 6. Clinical Score was based on a 0-4 scale by combining scores for Appearance (0-2 pts based on normal, hunched, piloerection, or lethargic), and Clinical Signs (0-2 points based on normal, wet tail, cold-to-the-touch, or isolation from other animals).
In a naive control arm, animals were challenged with C. difficile. In the vancomycin positive control arm animals were dosed with C. difficile and treated with vancomycin from day −1 through day 3. The negative control was gavaged with PBS alone and no bacteria. The test arms of the experiment tested 1×, 0.1×, 0.01× dilutions derived from a single donor preparation of ethanol treated spores (e.g. see example 5) or the heat treated feces prepared by treating a 20% slurry for 30 min at 80 C. Dosing for CFU counts was determined from the final ethanol treated spores and dilutions of total spores were administered at 1×, 0.1×, 0.01× of the spore mixture for the ethanol treated fraction and a 1× dose for the heat treated fraction.
Weight loss and mortality were assessed on day 3. The negative control, treated with C. difficile only, exhibits 20% mortality and weight loss on Day 3, while the positive control of 10% human fecal suspension displays no mortality or weight loss on Day 3 (Table 3). EtOH-treated feces prevents mortality and weight loss at three dilutions, while the heat-treated fraction was protective at the only dose tested. These data indicate that the spore fraction is efficacious in preventing C. difficile infection in the mouse.
Previous studies with hamsters using toxigenic and nontoxigenic strains of C. difficile demonstrated the utility of the hamster model in examining relapse post antibiotic treatment and the effects of prophylaxis treatments with cecal flora in C. difficile infection (Wilson et al. 1981, Wilson et al. 1983, Borriello et al. 1985) and more broadly gastrointestinal infectious disease. To demonstrate prophylactic use of a bacterial composition such as but not limited to a spore population, spore preparation, vegetative cell population, to ameliorate C. difficile infection, the following hamster model is used. In a prophylactic model, Clindamycin (10 mg/kg s.c.) is given on day −5, the bacterial composition or control is administered on day −3, and C. difficile challenge occurs on day 0. In the positive control arm, vancomycin is then administered on day 1-5 (and vehicle control is delivered on day −3). Feces are collected on day −5, −4, −1, 1, 3, 5, 7, 9 and fecal samples are assessed for pathogen carriage and reduction by microbiological methods, 16S sequencing approaches or other methods utilized by one skilled in the art. Mortality is assessed throughout the experiment through 21 days post C. difficile challenge. The percentage survival curves show that ethanol treated spores and ethanol treated, gradient-purified spores better protect the hamsters compared to the Vancomycin control, and vehicle control. The results are shown in
In the relapse prevention model, hamsters are challenged with toxigenic C. difficile strains on day 0, and treated with clindamycin by oral gavage on day 1, and vancomycin dosing day 2-6. Test or control treatment was then administered on day 7, 8, and 9. The groups of hamsters for each arm consist of 8 hamsters per group. Fecal material is collected on day −1, 1, 3, 5, 7, 10 and 13 and hamster mortality is assessed throughout. Survival curves are used to assess the success of the test article e.g. ethanol treated or ethanol treated, gradient purified spores versus the control treatment in preventing hamster death. The survival curves demonstrate maximum efficacy for the ethanol treated, gradient-purified spores followed by the ethanol treated spores. Both treatments improved survival percentage over vancomycin treatment alone.
The results are shown in
To assess the efficacy of test articles like bacterial composition including but not limited to a ethanol treated spore preparations (e.g. see Example 5) to treat recurrent C. difficile in human patients, the following procedure was performed to take feces from a healthy donor, inactivate via the ethanol treated spore preparation protocol described below, and treat recurrent C. difficile in patients presenting with this indication. Non-related donors were screened for general health history for absence of chronic medical conditions (including inflammatory bowel disease; irritable bowel syndrome; Celiac disease; or any history of gastrointestinal malignancy or polyposis), absence of risk factors for transmissible infections, antibiotic non-use in the previous 6 months, and negative results in laboratory assays for blood-borne pathogens (HIV, HTLV, HCV, HBV, CMV, HAV and Treponema pallidum) and fecal bacterial pathogens (Salmonella, Shigella, Yersinia, Campylobacter, E. coli 0157), ova and parasites, and other infectious agents (Giardia, Cryptosporidium Cyclospora, Isospora) prior to stool donation.
Donor stool was frozen shortly after donation and sampled for testing. At the time of use, approximately 75 g of donor stool was thawed and resuspended in 500 mL of non-bacteriostatic normal saline and mixed in a single use glass or plastic blender. The resulting slurry was sequentially passed through sterile, disposable mesh screens that remove particles of size 600, 300 and 200 microns. The slurry was then centrifuged briefly (200 rcf for 4 min) to separate fibrous and particulate materials, and the supernatant (containing bacterial cells and spores) was transferred to a fresh container. Ethanol was added to a final concentration of 50% and the resulting ˜1500 ml slurry was incubated at room temperature for 1 hr with continuous mixing to inactivate vegetative bacterial cells. Midway through inactivation the slurry was transferred to a new bottle to ensure complete contact with the ethanol. The solid matter was pelleted in a centrifuge and washed 3 times with normal saline to remove residual ethanol. The final pellet was resuspended in 100% sterile, USP glycerol at a minimum volume, and filled into approximately 30 size 0 delayed release capsules (hypromellose DRcaps, Capsugel, Inc.) at 0.65 mL suspension each. The capsules were immediately capped and placed onto an aluminum freezing block held at −80° C. via dry ice to freeze. The frozen capsules were in turn over-capsulated with size 00 DRcaps to enhance capsule stability, labeled, and placed into <-65° C. storage immediately. The final product was stored at <-65° C. until the day and time of use. Encapsulated product may be stored for indefinitely at <-65° C. On the day of dosing capsules were warmed on wet ice for 1 to 2 hours to improve tolerability, and were then dosed with water ad libitium.
Patient 1 is a 45-year old woman with a history of C. difficile infection and diarrhea for at least 1 year prior to treatment. She has been previously treated with multiple courses of antibiotics followed each time by recurrence of C. difficile-associated diarrhea.
Patient 2 is an 81-year old female who has experienced recurrent C. difficile infection for 6 months prior to treatment despite adequate antibiotic therapy following each recurrence.
24 hours prior to starting oral treatment, CDAD antibiotic therapy was discontinued. Each patient received a colon preparation procedure intended to reduce the competing microbial burden in the gastrointestinal tract and to facilitate repopulation by the spore forming organisms in the investigational product.
On the morning of the first treatment day, the patients received a dose of delayed release capsules containing the investigational product with water ad libitum. Patients were requested to avoid food for 1 hour thereafter. The next day, the patient returned to the clinic to receive an additional dose. Patients were asked to avoid food for 4 hours prior to receiving their second dose and for 1 hour following dosing.
Both patients were followed closely for evidence of relapse or adverse symptoms following treatment. Patients were contacted by phone on Day 2, Day 4, and Weeks 1, 2 and 4 and each was queried about her general status and the condition of her CDAD and related symptoms. Stool samples were collected at baseline and Weeks 1, 2, 4 and 8 post-treatment to assess changes in the gut microbiota via 16S sequencing and spore count with methods explained previously (e.g. see Examples 2 and 3). Through 4 weeks post treatment, each patient has gradually improved with no evidence of C. difficile recurrence.
Six other patients with recurrent C. difficile-associated diarrhea were treated in a similar fashion, with no CDI recurrence and no requirement for resumption of antibiotics (total of 8 patients). Additionally, there were no treatment-related serious adverse events.
The above protocol could be modified to deliver other bacterial compositions e.g. vegetative cells, spore preparations, combinations thereof.
To purify individual bacterial strains, dilution plates were selected in which the density enables distinct separation of single colonies. Colonies were picked with a sterile implement (either a sterile loop or toothpick) and re-streaked to BBA or other solid media. Plates were incubated at 37° C. for 3-7 days. One or more well-isolated single colonies of the major morphology type were re-streaked. This process was repeated at least three times until a single, stable colony morphology is observed. The isolated microbe was then cultured anaerobically in liquid media for 24 hours or longer to obtain a pure culture of 106-1010 cfu/ml. Liquid growth medium might include Brain Heart Infusion-based medium (Atlas, Handbook of Microbiological Media, 4th ed, ASM Press, 2010) supplemented with yeast extract, hemin, cysteine, and carbohydrates (for example, maltose, cellobiose, soluble starch) or other media described previously (e.g. see example 5). The culture was centrifuged at 10,000×g for 5 min to pellet the bacteria, the spent culture media was removed, and the bacteria were resuspended in sterile PBS. Sterile 75% glycerol was added to a final concentration of 20%. An aliquot of glycerol stock was titered by serial dilution and plating. The remainder of the stock was frozen on dry ice for 10-15 min and then placed at −80 C for long term storage.
Cell banks (RCBs) of bacterial strains were prepared as follows. Bacterial strains were struck from −80° C. frozen glycerol stocks to Brucella blood agar with Hemin or Vitamin K (Atlas, Handbook of Microbiological Media, 4th ed, ASM Press, 2010), M2GSC (Atlas, Handbook of Microbiological Media, 4th ed, ASM Press, 2010) or other solid growth media and incubated for 24 to 48 h at 37° C. in an anaerobic chamber with a gas mixture of H2:CO2:N2 of 10:10:80. Single colonies were then picked and used to inoculate 250 ml to 1 L of Wilkins-Chalgren broth, Brain-Heart Infusion broth, M2GSC broth or other growth media, and grown to mid to late exponential phase or into the stationary phase of growth. Alternatively, the single colonies may be used to inoculate a pilot culture of 10 ml, which were then used to inoculate a large volume culture. The growth media and the growth phase at harvest were selected to enhance cell titer, sporulation (if desired) and phenotypes that might be associated desired in vitro or in vivo. Optionally, Cultures were grown static or shaking, depending which yielded maximal cell titer. The cultures were then concentrated 10 fold or more by centrifugation at 5000 rpm for 20 min, and resuspended in sterile phosphate buffered saline (PBS) plus 15% glycerol. 1 ml aliquots were transferred into 1.8 ml cryovials which were then frozen on dry ice and stored at −80 C. The identity of a given cell bank was confirmed by PCR amplification of the 16S rDNA gene, followed by Sanger direct cycle sequencing, and comparison to a curated rDNA database to determine a taxonomic ID. Each bank was confirmed to yield colonies of a single morphology upon streaking to Brucella blood agar or M2GSC agar. When more than one morphology was observed, colonies were confirmed to be the expected species by PCR and sequencing analysis of the 16S rDNA gene. Variant colony morphologies can be observed within pure cultures, and in a variety of bacteria the mechanisms of varying colony morphologies have been well described (van der Woude, Clinical Microbiology Reviews, 17:518, 2004), including in Clostridium species (Wadsworth-KTL Anaerobic Bacteriology Manual, 6th Ed, Jousimie-Somer, et al 2002). For obligate anaerobes, RCBs were confirmed to lack aerobic colony forming units at a limit of detection of 10 cfu/ml.
The number of viable cells per ml was determined on the freshly harvested, washed and concentrated culture by plating serial dilutions of the RCB to Brucella blood agar or other solid media, and varied from 106 to 1010 cfu/ml. The impact of freezing on viability was determined by titering the banks after one or two freeze-thaw cycles on dry ice or at −80° C., followed by thawing in an anaerobic chamber at room temperature. Some strains displayed a 1-3 log drop in viable cfu/ml after the 1st and/or 2nd freeze thaw, while the viability of others were unaffected.
Individual strains were typically thawed on ice and combined in an anaerobic chamber to create mixtures, followed by a second freeze at −80° C. to preserve the mixed samples. When making combinations of strains for in vitro or in vivo assays, the cfu in the final mixture was estimated based on the second freeze-thaw titer of the individual strains. For experiments in rodents, strains may be combined at equal counts in order to deliver between 1e4 and 1e10 per strain. Additionally, some bacteria may not grow to sufficient titer to yield cell banks that allowed the production of compositions where all bacteria were present at 1e10.
Fresh gut microbiome samples e.g. fecal samples were obtained from healthy human donors who have been screened for general good health and for the absence of infectious diseases, and meet inclusion and exclusion criteria, inclusion criteria include being in good general health, without significant medical history, physical examination findings, or clinical laboratory abnormalities, regular bowel movements with stool appearance typically Type 2, 3, 4, 5 or 6 on the Bristol Stool Scale, and having a BMI≧18 kg/m2 and ≦25 kg/m2. Exclusion criteria generally included significant chronic or acute medical conditions including renal, hepatic, pulmonary, gastrointestinal, cardiovascular, genitourinary, endocrine, immunologic, metabolic, neurologic or hematological disease, a family history of, inflammatory bowel disease including Crohn's disease and ulcerative colitis, Irritable bowel syndrome, colon, stomach or other gastrointestinal malignancies, or gastrointestinal polyposis syndromes, or recent use of yogurt or commercial probiotic materials in which an organism(s) is a primary component. Samples were collected directly using a commode specimen collection system, which contains a plastic support placed on the toilet seat and a collection container that rests on the support. Gut microbiome samples e.g. feces were deposited into the container, and the lid was then placed on the container and sealed tightly. The sample was then delivered on ice within 1-4 hours for processing. Samples were mixed with a sterile disposable tool, and 2-4 g aliquots were weighed and placed into tubes and flash frozen in a dry ice/ethanol bath. Aliquots are frozen at −80 degrees Celsius until use.
Optionally, the microbiome sample was suspended in a solution, and/or fibrous and/or particulate materials were removed. A frozen aliquot containing a known weight of sample was removed from storage at −80 degrees Celsius and allowed to thaw at room temperature. Sterile 1×PBS was added to create a 10% w/v suspension, and vigorous vortexing was performed to suspend the sample until the material appeared homogeneous. The sample was then left to sit for 10 minutes at room temperature to sediment fibrous and particulate matter. The suspension above the sediment was then carefully removed into a new tube and contains a purified spore population. Optionally, the suspension was then centrifuged at a low speed, e.g., 1000×g, for 5 minutes to pellet particulate matter including fibers. The pellet was discarded and the supernatant, which contained vegetative organisms and spores, was removed into a new tube. The supernatant was then centrifuged at 6000×g for 10 minutes to pellet the vegetative organisms and spores. The pellet was then resuspended in 1×PBS with vigorous vortexing until the sample material appears homogenous
Two bacterial compositions were evaluated in a mouse model to demonstrate the ability to populate the gastrointestinal tract. Bacteria were grown as described in Example 12. Compositions were pre-made under anaerobic conditions and suspended in PBS+15% glycerol and stored at ≧−70° C. prior to use.
Groups of mice (10 females/group; 5 per cage) were pre-treated on Days −14 to −5 with an antibiotic cocktail consisting of 10% glucose, kanamycin (0.5 mg/ml), gentamicin (0.044 mg/ml), colistin (1062.5 U/ml), metronidazole (0.269 mg/ml), ciprofloxacin (0.156 mg/ml), ampicillin (0.1 mg/ml) and vancomycin (0.056 mg/ml) in their drinking water. On Day −3 they received 10 mg/kg Clindamycin by oral gavage. On Day −1, they were dosed with a microbial composition by oral gavage in a volume of 0.2 mL (Table ZA). Microbial compositions comprised approximately equal numbers of each OTU and were dosed at approximately 1×109, 1×108 and 1×107 per OTU for each composition (e.g. microbial composition 1, comprising 15 strains, was dosed at approximately 1.5×1010, 1.5×109, and 1.5×108 total CFU). Fecal samples were collected from each cage on Day −1 (approximately 1 hour before dosing) and on Days 2, 3 and 4 post-dosing. Feces were stored frozen prior to processing and sequencing. Weight gain of mice treated with either microbial composition was similar to that of naive, control mice.
In parallel, groups of animals treated with the same microbial compositions on Day −1 were challenged on Day 0 with approximately 1045 spores of Clostridium difficile (ATCC 43255) via oral gavage. Mortality for C. difficile challenged animals was assessed every day from Day 0 to Day 6 and the weight and subsequent weight change of the animal was assessed with weight loss being associated with C. difficile infection. Mortality and reduced weight loss of the test article compared to the empty vehicle was used to assess the success of the test article.
Fecal samples were processed by isolating and sequencing DNA according to ***Example 2 and 3. The OTU assignment of fecal samples from Days −1, 2, 3 and 4 was determined by analyzing 16S-V4 sequence reads and assigning OTUs as described in ***Example 2. Glades were assigned as described in ***Example 2. Total read counts were determined for each OTU or each clade by summing the results from cages of the same experimental group. Samples with 10 or fewer sequence reads for a given OTU or clade were considered to be below background and were not included in the summation process. Results are shown by OTU (Table TAB) and by clade (Table TAC).
Upon examining the OTU data in Table TAB several patterns emerge. First, there are a group of OTUs with no sequence reads on Day −1 that show subsequent and large numbers of sequence reads on Days 2, 3, or 4; this group includes Cl. butyricum, Cl. hylemonae, Cl. orbiscindens, Cl. symbiosum, and L. bacterium_5_1_57FAA. Cl. disporicum is comparable to this group as it has sequence reads on Day −1 that are very close to background (10 and 29 in compositions 1 and 2, respectively), which subsequently increase by as much as 1000-fold on Days 2, 3 or 4. Second, there are OTUs such as Co. aerofaciens, C. comes, R. bromii, B. producta, Cl. bolteae, Cl. mayombei, Cl. innocuum, Cl. tertium and R. gnavus which are not detectable at the OTU level in either the Day −1 sample or in subsequent samples. In composition 2, Co. aerofaciens is detected transiently on Day 2 in the 1×108 and 1×107 dose groups; E. rectale in the same experimental groups is detected on Day 3, suggesting a possible relationship between transient population by Co. aerofaciens followed by E. rectale in these groups of mice. A striking observation is that the observed number of OTU sequence reads is not highly dose dependent. Overall, the data is consistent with a model whereby OTUs populate rapidly following oral administration.
The clade-based analysis in Table TAC was performed to more thoroughly evaluate the population of the GI tract. Clade-based analysis obscures some of the details afforded by an OTU analysis. For instance, Cl. tertium and Cl. butyricum are members of the same clade and thus a clade-based analysis cannot distinguish the dynamics of these individual OTUs. However, clade-based analysis has the compensatory benefit that it is sensitive to measuring population changes that can be missed by an OTU-based analysis. The ability of 16S-V4 OTU identification to assign an OTU as a specific species depends in part on the resolving power of the 16S-V4 region for a particular species or group of species. Both the density of available reference 16S sequences for different regions of the tree as well as the inherent variability in the 16S gene between different species will determine the definitiveness of a taxonomic annotation. So in some cases, the population of a species can be followed using clade-based assignments when OTU based-detection is insensitive in a complex population. For instance, the clade-based analysis in Table 1 supports the case that R. bromii, B. producta, Cl. innocuum, and R. gnavus were able to populate since each OTU is a sole member of a clade in the microbial compositions and sequence reads went from undetectable on Day −1 to well above background on Days 2, 3 or 4. 16S V4 sequencing and clade-based analysis could not determine whether Cl. tertium or Cl. bolteae populated due to the fact that other members of their clades (Cl. butyricum and Cl. symbiosum, respectively) were present and shown to populate at the OTU level in the mice.
In the mice challenged in parallel with C. difficile, animals were significantly protected as shown in Table TAD. Mice gavaged with vehicle (phosphate buffered saline) experienced 100% mortality while microbial compositions 1 and 2 protected at all dose levels with between 0 and 10% mortality by Day 6, the last day of the experiment. In addition, weight loss in animals treated with microbial compositions 1 and 2 was minimal compared to animals receiving the vehicle gavage. These data confirm that population of the gastrointestinal tract with microbial compositions confers a clinical benefit by restoring a state of dysbiosis so that animals can resist infection by a pathogen.
A screen was performed to test the ability of Clostridium difficile and potential competitor species to utilize a panel of 190 different carbon sources. The screen was carried out using PM1 and PM2 MicroPlates (Biolog #12111, #12112), IF-0a base media (Biolog #72268) and Biolog Redox Dye Mix D (Biolog #74224). For each strain, a 1 uL aliquot from −80° C. glycerol stock was streaked out for single colonies to solid Brucella Blood Agar plates (BBA) (Anaerobe Systems #AS-111) and incubated anaerobically at 37° C. for 24 hr. A single colony was then re-streaked to a BBA plate and incubated anaerobically at 37° C. for 24 hr. The MicroPlates were pre-reduced by incubating for at least 24 hr in a hydrogen free anaerobic environment before use. All liquid media and supplements used were pre-reduced by placing them in an anaerobic chamber with loose lids for at least 24 hr before use. Alternatively, combinations of bacteria can also be tested.
The base media for inoculation was prepared by adding 0.029 mL of 1M potassium ferricyanide to 0.240 mL of Dye Mix D followed by addition of 19.7 mL of IF-0a, 4 mL sterile water and 0.024 mL 0.5 mM menadione. For some species, the concentrations of potassium ferricyanide and menadione were adjusted to achieve the optimal redox balance or to test multiple redox conditions. Potassium ferricyanide was tested at a final concentration of 0.38, 0.12, 0.038 and 0.06 mM. Menadione was tested at a final concentration of 0.5, 0.16 and 0.05 μM. In total, this yields 9 redox conditions for testing. Reduction of the tetrazolium dye that forms the basis for the endpoint measurement was sensitive to the redox state of each bacterial culture, and thus to the ratio of menadione to potassium ferricyanide. It was therefore important to test various ratios for each bacterial isolate and was also important in some cases to test a species at multiple menadione/potassium ferricyanide ratios in order to detect all conditions in which a possible nutrient utilization was detectable. Some species were tested beyond the 20 hr time point to detect all conditions resulting in a positive result. In these cases plates were read at 20, 44 or 96 hr.
Using a sterile, 1 μL microbiological loop, a loopful of biomass was scraped from the BBA plate and resuspended in the base media by vortexing. The OD was adjusted to 0.1 at 600 nm using a SpectraMax M5 plate reader. The bacterial suspension was then aliquoted into each well of the PM1 and PM2 plates (100 μL per well). The plates were incubated at 37° C. for 20 hr in a rectangular anaerobic jar (Mitsubishi) with 3 anaerobic, hydrogen-free gas packs (Mitsubishi AnaeroPack). After 20 hr, OD at 550 nm was read using a SpectraMax M5 plate reader. Wells were scored as a weak hit if the value was 1.5× above the negative control well, and a strong hit if the value was 2× above the negative control well. The results are shown in the Table in
The following list of nutrient sources were tested: L-Arabinose, N-Acetyl-D-Glucosamine, D-Saccharic Acid, SuccinicAcid, D-Galactose, L-AsparticAcid, L-Proline, D-Alanine, D-Trehalose, D-Mannose, Dulcitol, D-Serine, D-Sorbitol, Glycerol, L-Fucose, D-Glucuronic Acid, D-Gluconic Acid, D, L-alpha-Glycerol-Phosphate, D-Xylose, L-Lactic Acid, Formic Acid, D-Mannitol, L-Glutamic Acid, D-Glucose-6-Phosphate, D-Galactonic Acid-gamma-Lactone, D,L-Malic Acid, D-Ribose, Tween 20, L-Rhamnose, D-Fructose, Acetic Acid, alpha-D-Glucose, Maltose, D-Mellibiose, Thymidine, L-Asparagine, D-Aspartic Acid, D-Glucosaminic Acid, 1,2-Propanediol, Tween 40, alpha-Keto-Glutaric Acid, alpha-Keto-ButyricAcid, alpha-Methyl-D-Galactoside, alpha-D-Lactose, Lactulose, Sucrose, Uridine, L-Glutamine, M-Tartaric Acid, D-Glucose-1-Phosphate, D-Fructose-6-Phosphate, Tween 80, alpha-Hydroxy-Glutaric-gamma-lactone, alpha-Hydroxy Butyric Acid, beta-Methyl-D-Glucoside, Adonitol, Maltotriose, 2-Deoxy Adenosine, Adenosine, Glycyl-L-Aspartic Acid, Citric Acid, M-Inositol, D-Threonine, Fumaric Acid, Bromo Succinic Acid, Propionic Acid, Mucic Acid, Glycolic Acid, Glyoxylic Acid, D-Cellobiose, Inosine, Glycyl-L-Glutamic Acid, Tricarballylic Acid, L-Serine, L-Threonine, L-Alanine, L-Alanyl-Glycine, Acetoacetic Acid, N-Acetyl-beta-D-Mannosamine, Mono Methyl Succinate, Methyl Pyruvate, D-Malic Acid, L-Malic Acid, Glycyl-L-Proline, p-Hydroxy Phenyl Acetic Acid, m-Hydroxy Phenyl Acetic Acid, Tyramine, D-Psicose, L-Lyxose, Glucuronamide, Pyruvic Acid, L-Galactonic Acid-gamma-Lactone, D-Galacturonic Acid, Pheylethyl-amine,2-aminoethanol, Chondroitin Sulfate C, alpha-Cyclodextrin, beta-Cyclodextrin, gamma-Cyclodextrin, Dextrin, Gelatin, Glycogen, Inulin, Laminarin, Mannan, Pectin, N-Acetyl-D-Galactosamine, N-Acetyl-Neuramic Acid, beta-D-Allose, Amygdalin, D-Arabinose, D-Arabitol, L-Arabitol, Arbutin, 2-Deoxy-D-Ribose, I-Erythritol, D-Fucose, 3-0-beta-D-Galacto-pyranosyl-D-Arabinose, Gentibiose, L-Glucose, Lactitol, D-Melezitose, Maltitol, alpha-Methyl-D-Glucoside, beta-Methyl-D-Galactoside, 3-Methyl Glucose, beta-Methyl-D-GlucoronicAcid, alpha-Methyl-D-Mannoside, beta-Metyl-D-Xyloside, Palatinose, D-Raffinose, Salicin, Sedoheptulosan, L-Sorbose, Stachyose, D-Tagatose, Turanose, Xylitol, N-Acetyl-D-Glucosaminitol, gamma-Amino Butyric Acid, delta-Amino Valeric Acid, Butyric Acid, Capric Acid, Caproic Acid, Citraconic Acid, Citramalic Acid, D-Glucosamine, 2-Hydroxy Benzoic Acid, 4-Hydroxy Benzoic Acid, beta-Hydroxy Butyric Acid, gamma-Hydroxy Butyric Acid, alpha-Keto Valeric Acid, Itaconic Acid, 5-Keto-D-Gluconic Acid, D-Lactic Acid Methyl Ester, Malonic Acid, Melibionic Acid, Oxalic Acid, Oxalomalic Acid, Quinic Acid, D-Ribino-1,4-Lacton, Sebacic Acid, Sorbic Acid, Succinamic Acid, D-Tartaric Acid, L-Tartaric Acid, Acetamide, L-Alaninamide, N-Acetyl-L-Glutamic Acid, L-Arginine, Glycine, L-Histidine, L-Homserine, Hydroxy-L-Proline, L-Isoleucine, L-Leucine, L-Lysine, L-Methionine, L-Ornithine, L-Phenylalanine, L-Pyroglutamic Acid, L-Valine, D,L-Carnithine, Sec-Butylamine, D,L-Octopamine, Putrescine, Dihydroxy Acetone, 2,3-Butanediol, 2,3-Butanone, 3-Hydroxy 2-Butanone.
Additionally, one of skill in the art could design nutrient utilization assays for an even broader set of nutrients using the using methods described above.
A similar screen can be performed to test the utilization of vitamins, amino acids, or cofactors. In these instances, Biolog MicroPlates for screening of vitamins, amino acids or cofactors that are of interest would be used in place of the PM1 and PM2 plates, for example PM5. Table XXX1 contains a list of representative vitamins, minerals, and cofactors. For each strain tested, a universal carbon source such as glucose will be used as a positive control to demonstrate reduction of the tetrazolium dye under the specific conditions of the assay.
Alternatively, the ability of a strain to utilize a particular carbon source can be determined by a transcriptomics based approach.
In this instance, a pure culture of Clostridium difficile is streaked to a Brucella Blood Agar plate (BBA) (Anaerobe Systems #AS-111) and incubated anaerobically at 37° C. for 24 hr. A single colony is then inoculated into a minimal defined base medium (as described in Karasawa, T, et al., Microbiol (1995) 141: 371-5) substituting with a single carbon source such as fructose or mannitol. Several cultures can be tested in parallel altering the carbon source being tested. A control culture is also inoculated which lacks a carbon source. RNA is extracted from all cultures at 8, 14 and 38 hr. Extraction of total RNA is performed immediately using a FastPrep instrument and an RNA ProBlue kit (QBiogene). RNA quality is assessed by analysis on an Agilent Bioanalyser.
The C. difficile microarray based on the genome sequence of strain 630 can be found in ArrayExpress (accession number A-BUG-20). The microarray contains 3,679 coding sequences (CDSs). A Genisphere 3DNA Array 900 MPX microarray kit is used for cDNA synthesis, labeling, and hybridization. Ten micrograms of starting RNA is used for the cDNA synthesis reactions. The microarray slides are hybridized competitively with each cDNA.
The microarray slides are scanned using a ScanArray 4000 instrument (Packard Instrument Co.), and fluorescence intensities are quantified using ImaGene (BioDiscovery) software. Raw expression data from the arrays are analyzed with R and Limma (linear model for microarray data) software from the Bioconductor project. Further data processing and statistical analysis is performed by correcting background with the Normexp method, resulting in strictly positive values and reducing variability in the log ratios for genes with low hybridization signals. Each strain is then normalized by using the Loess method. In order to identify differentially expressed genes, Bayesian adjusted t statistics is performed. A gene is considered differentially expressed when the P value is <0.05. The 8 hr values are chosen as a reference for comparing values from later time points to identify genes and pathways that are upregulated during the time course of the experiment. Alternatively, the values can be compared relative to a no carbon source control, or a glucose control, as glucose represses expression of genes involved in carbon utilization in many bacteria via catabolite repression.
Potential competitors of Clostridium difficile are tested in the same manner, singly or in combination, using custom microarray slides for each strain or species. Alternatively, an RNA-seq based approach can be used to identify and quantify the relative abundance of mRNA in each sample [can we insert a reference for how to perform an RNA-seq experiment?].
Alternatively, carbon source utilization of Clostridium difficile and potential competitors can be determined by a transcriptomics approach that detects the presence of mRNA levels in an in vivo mouse model. For example, in Ng et al (Nature 2013, 502:7469), C. difficile genes for catabolism of sialic acid and fucose were found to have increased levels of expression in vivo relative to when grown in vitro in growth medium, and in Janoir et al (I&I 2013 81:3757), expression of genes required for catabolism of glucose, sorbitol and fructose are induced in vivo relative to in vitro, suggesting their use during infection.
A group of mice are inoculated with Clostridium difficile, and subgroups are sacrificed after 8, 12 or 24 hr, at which time cecal contents are collected. Total nucleic acid is extracted from 50 μl aliquots of the cecal contents using a MasterPure RNA purification kit (Epicentre Biotechnologies, Madison, Wis.). DNA is removed using a Turbo DNA-free kit (Ambion, Austin, Tex.), using the rigorous protocol. Total RNA is quantified with a NanoDrop ND-1000 (Thermo Scientific, Wilmington, Del.), and integrity is analyzed using an RNA FlashGel (Lonza, Basel, Switzerland). Total RNA is enriched for mRNA using MicrobExpress (Ambion, Austin, Tex.). Enriched RNA is quantified using RiboGreen (Invitogen, Carlsbad, Calif.). One hundred nanograms of mRNA-enriched RNA is used for library preparation using SuperScript II (Invitrogen, Carlsbad, Calif.) and an mRNA-seq kit (Illumina, San Diego, Calif.). The cDNA library is sequenced using an Illumina HiSeq 2500. Reads are then mapped against the appropriate C. difficile reference genome. The 8 hr time point can be used as a reference to identify genes and pathways that are upregulated in vivo, or alternatively a control sample grown in vitro in a standard growth medium can be used as a reference. The pattern of upregulated catabolic genes defines a map of nutrients for which an effective anti-C. difficile consortium of organisms would compete.
The same process is repeated or performed in parallel for bacterial strains that are potential competitors of C. difficile. In an alternative version, combinations of bacterial strains can be inoculated into a mouse and analysed simultaneously from the same cecal sample using publicly available reference genomes from the human microbiome for read mapping. Species with potential ability to compete with C. difficile are selected based on their pattern of overlap for carbon sources analyzed.
The nutrient utilization capabilities of a pathogen are also determined by means of a literature search. Compounds that can support growth of C. difficile were determined from scientific publications describing nutrients that are utilized by the organism (for example, Nakamura et al, 1982, Microbiol Immunol 26:107), from scientific papers describing a defined media that allows growth of the organism (for example, George et al, J. Clin. Microbiol. 1979, 9:214), reference manuals that compile data from the literature such as Bergey's Manual of Systematic Bacteriology (Bergey's Manual of Systematic Bacteriology: Vol. 3: The Firmicutes By Paul Vos, George Garrity, Dorothy Jones, Noel R. Krieg, Wolfgang Ludwig, Fred A. Rainey, Karl-Heinz Schleifer, William B. Whitman, 2009 Ed) or The Prokaryotes (The Prokaryotes: Vol. 4: Bacteria: Firmicutes, Cyanobacteria, 2006 Ed, edited by Martin Dworkin, Stanley Falkow). For example, Bergey's Manual indicates carbon sources typically used by C. difficile: glucose, cellobiose, fructose, mannitol, mannose, melezitose, salicin, sorbitol, sucrose, trehalose, xylose, proline, aspartic acid, serine, leucine, alanine, threonine, valine, phenylalanine, methionine, isoleucine. Note, not all strains use all of these carbon sources, making the testing of several individual strains useful.
Genomics studies describing analysis of reference genomes can suggest nutrients that are potentially used by a pathogen, based on the presence of metabolic pathways and transport proteins for given substrates. For example, Sebaihia et al., Nature Genetics, 2006 which presents the genome for the virulent Clostridium difficile strain 630, describes a 19 gene cluster for ethanolamine degradation suggesting ethanolamine is likely a carbon source used by C. difficile.
Transcriptomics studies, in which mRNA transcript levels are determined by microarray or RNA-seq methods, can reveal metabolic pathways that are upregulated in one condition relative to another. For example, for Clostridium difficile in Ng et al. (Nature 2013, 502:7469), genes for catabolism of sialic acid and fucose were found to have increased levels of expression in vivo relative to when grown in vitro in growth medium, and in Janoir et al. (I&I 2013 81:3757), expression of genes required for catabolism of glucose, sorbitol and fructose are induced in vivo relative to in vitro, suggesting their use during infection.
Metabolomic studies in mice infected with C. difficile, indicate that sorbitol, mannitol, arabitol, xylitol, gluconate, sucrose and lactate levels were elevated when the mice were made susceptible to C. difficile infection by treatment with antibiotics, implicating those as important nutrients in vivo (Theriot et al., 2013 (Nature Communications).
Methods to assess spore concentration in complex mixtures typically require the separation and selection of spores and subsequent growth of individual species to determine the colony forming units. The art does not teach how to quantitatively germinate all the spores in a complex mixture as there are many species for which appropriate germinants have not been identified. Furthermore, sporulation is thought to be a stochastic process as a result of evolutionary selection, meaning that not all spores from a single species germinate with same response to germinant concentration, time and other environmental conditions. Alternatively, a key metabolite of bacterial spores, dipicolinic acid (DPA) has been developed to quantify spores particles in a sample and avoid interference from fecal contaminants. The assay utilizes the fact that DPA chelates Terbium 3+ to form a luminescent complex (Fichtel et al, FEMS Microbiology Ecology, 2007; Kort et al, Applied and Environmental Microbiology, 2005; Shafaat and Ponce, Applied and Environmental Microbiology, 2006; Yang and Ponce, International Journal of Food Microbiology, 2009; Hindle and Hall, Analyst, 1999). A time-resolved fluorescence assay detects terbium luminescence in the presence of DPA giving a quantitative measurement of DPA concentration in a solution.
To perform the assay 1 mL of the spore standard to be measured was transferred to a 2 mL microcentrifuge tube. The samples were centrifuged at 13000 RCF for 10 min and the sample is washed in 1 mL sterile deionized H2O. Wash an additional time by repeating the centrifugation. Transfer the 1 mL solution to hungate tubes and autoclave samples on a steam cycle for 30 min at 250 C. Add 100 uL of 30 uM TbCl3 solution (400 mM sodium acetate, pH 5.0, 30 μM TbCl3) to the sample. Make serial dilutions of of the autoclaved material and measure the fluorescence of each sample by exciting with 275 nm light and measuring the emission wavelength of 543 nm for an integration time of 1.25 ms and a 0.1 ms delay.
Purified spores are produced as described previously (e.g. see http://www.epa.gov/pesticides/methods/MB-28-00.pdf). Serial dilutions of purified spores from C. bifermentans, C. sporogenes, and C. butyricum cultures were prepared and measured by plating on BBA media and incubating overnight at 37 C to determine CFU/ml.
The discrepancy for complex spore populations between spore counts measured by germinable spore CFU and by DPA has important implications for determining the potency of an ethanol treated spore preparation for clinical use. Table AC shows spore content data from 3 different ethanol treated spore preparations used to successfully treat 3 patients suffering from recurrent C. difficile infection. The spore content of each spore preparation is characterized using the two described methods.
What is immediately apparent is that spore content varies greatly per 30 capsules. As measured by germinable SCFU, spore content varies by greater than 10,000-fold. As measured by DPA, spore content varies by greater than 100-fold. In the absence of the DPA assay, it would be difficult to set a minimum dose for administration to a patient. For instance, without data from the DPA assay, one would conclude that a minimum effective dose of spores is 4×105 or less using the SCFU assay (e.g. Preparation 1, Table AC). If that SCFU dose was used to normalize dosing in a clinical setting, however, then the actual spore doses given to patients would be much lower for other ethanol treated spore preparations as measured as by the DPA assay (Table AD).
It becomes immediately obvious from the variability of SCFU and DPA counts across various donations that using SCFU as the measure of potency would lead to significant underdosing in certain cases. For instance, setting a dose specification of 4×105 SCFU (the apparent effective dose from donor Preparation 1) for product Preparation 3 would lead to a potential underdosing of more than 100-fold. This can be rectified only by setting potency specifications based on the DPA assay which better reflects total spore counts in an ethanol treated spore preparation. The unexpected finding of this work is that the DPA assay is uniquely suited to set potency and determine dosing for an ethanol treated spore preparation.
Complementary genomic and microbiological methods were used to characterize the composition of the microbiota from Patient 1, 2, 3, 4, and 5, 6, 7, 8, 9, and 10 at pretreatment (pretreatment) and on up to 4 weeks post-treatment.
To determine the OTUs that engraft from treatment with an ethanol treated spore preparation in the patients and how their microbiome changed in response, the microbiome was characterized by 16S-V4 sequencing prior to treatment (pretreatment) with an ethanol treated spore preparation and up to 25 days after receiving treatment. Alternatively, one might use a bacterial composition in the vegetative state, or a mixture of vegetative bacteria and bacterial spores. As example, the treatment of patient 1 with an ethanol treated spore preparation led to the engraftment of OTUs from the spore treatment and augmentation in the microbiome of the patient (
Patient treatment with the ethanol treated spore preparation leads to the establishment of a microbial ecology that has greater diversity than prior to treatment (
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Stool samples were aliquoted and resuspended 10× vol/wt in either 100% ethanol (for genomic characterization) or PBS containing 15% glycerol (for isolation of microbes) and then stored at −80° C. until needed for use. For genomic 16S sequence analysis colonies picked from plate isolates had their full-length 16S sequence characterized as described in Examples 2 and 3, and primary stool samples were prepared targeting the 16S-V4 region using the method for heterogeneous samples in Example 10.
Notably, 16S sequences of isolates of a given OTU are phylogenetically placed within their respective clades despite that the actual taxonomic assignment of species and genus may suggest they are taxonomically distinct from other members of the clades in which they fall. Discrepancies between taxonomic names given to an OTU is based on microbiological characteristics versus genetic sequencing are known to exist from the literature. The OTUs footnoted in this table are known to be discrepant between the different methods for assigning a taxonomic name.
Engraftment of OTUs from the ethanol treated spore preparation treatment into the patient as well as the resulting augmentation of the resident microbiome led to a significant decrease in and elimination of the carriage of pathogenic species other than C. difficile in the patient. 16S-V4 sequencing of primary stool samples demonstrated that at pretreatment, 20% of reads were from the genus Klebsiella and an additional 19% were assigned to the genus Fusobacterium. These striking data are evidence of a profoundly dysbiotic microbiota associated with recurrent C. difficile infection and chronic antibiotic use. In healthy individuals, Klebsiella is a resident of the human microbiome in only about 2% of subjects based on an analysis of HMP database (www.hmpdacc.org), and the mean relative abundance of Klebsiella is only about 0.09% in the stool of these people. It's surprising presence at 20% relative abundance in Patient 1 before treatment is an indicator of a proinflammatory gut environment enabling a “pathobiont” to overgrow and outcompete the commensal organisms normally found in the gut. Similarly, the dramatic overgrowth of Fusobacterium indicates a profoundly dysbiotic gut microbiota. One species of Fusobacterium, F. nucleatum (an OTU phylogenetically indistinguishable from Fusobacterium sp. 3_1_33 based on 16S-V4), has been termed “an emerging gut pathogen” based on its association with IBD, Crohn's disease, and colorectal cancer in humans and its demonstrated causative role in the development of colorectal cancer in animal models [Allen-Vercoe, Gut Microbes (2011) 2:294-8]. Importantly, neither Klebsiella nor Fusobacterium was detected in the 16S-V4 reads by Day 25 (Table 18).
To further characterize the colonization of the gut by Klebsiella and other Enterobacteriaceae and to speciate these organisms, pretreatment and Day 25 fecal samples stored at −80 C as PBS-glycerol suspensions were plated on a variety of selective media including MacConkey lactose media (selective for gram negative enterobacteria) and Simmons Citrate Inositol media (selective for Klebsiella spp) [Van Cregten et al, J. Clin. Microbiol. (1984) 20: 936-41]. Enterobacteria identified in the patient samples included K. pneumoniae, Klebsiella sp. Co_9935 and E. coli. Strikingly, each Klebsiella species was reduced by 2-4 logs whereas E. coli, a normal commensal organism present in a healthy microbiota, was reduced by less than 1 log (Table 19). This decrease in Klebsiella spp. carriage is consistent across multiple patients. Four separate patients were evaluated for the presence of Klebsiella spp. pre treatment and 4 weeks post treatment. Klebsiella spp. were detected by growth on selective Simmons Citrate Inositol media as previously described. Serial dilution and plating, followed by determining cfu/mL titers of morphologically distinct species and 16S full length sequence identification of representatives of those distinct morphological classes, allowed calculation of titers of specific species.
The genus Bacteroides is an important member of the gastrointestinal microbiota; 100% of stool samples from the Human Microbiome Project contain at least one species of Bacteroides with total relative abundance in these samples ranging from 0.96% to 93.92% with a median relative abundance of 52.67% (www.hmpdacc.orq reference data set HMSMCP). Bacteroides in the gut has been associated with amino acid fermentation and degradation of complex polysaccharides. Its presence in the gut is enhanced by diets rich in animal-derived products as found in the typical western diet [David, L. A. et al, Nature (2013) doi:10.1038/nature12820]. Strikingly, prior to treatment, fewer than 0.008% of the 16S-V4 reads from Patient 1 mapped to the genus Bacteroides strongly suggesting that Bacteroides species were absent or that viable Bacteroides were reduced to an extremely minor component of the patient's gut microbiome. Post treatment, ≧42% of the 16S-V4 reads could be assigned to the genus Bacteroides within 5 days of treatment and by Day 25 post treatment 59.48% of the patients gut microbiome was comprised of Bacteroides. These results were confirmed microbiologically by the absence of detectable Bacteroides in the pretreatment sample plated on two different Bacteroides selective media: Bacteroides Bile Esculin (BBE) agar which is selective for Bacteroides fragilis group species [Livingston, S. J. et al J. Clin. Microbiol (1978). 7: 448-453] and Polyamine Free Arabinose (PFA) agar [Noack et al. J. Nutr. (1998) 128: 1385-1391; modified by replacing glucose with arabinose]. The highly selective BBE agar had a limit of detection of <2×103 cfu/g, while the limit of detection for Bacteroides on PFA agar was approximately 2×107 cfu/g due to the growth of multiple non-Bacteroides species in the pretreatment sample on that medium. Colony counts of Bacteroides species on Day 25 were up to 2×1010 cfu/g, consistent with the 16S-V4 sequencing, demonstrating a profound reconstitution of the gut microbiota in Patient 1 (Table 20).
The significant abundance of Bacteroides in Patient 1 on Day 25 (and as early as Day 5 as shown by 16S-V4 sequencing) is remarkable. Viable Bacteroides fragilis group species were not present in the ethanol treated spore population based on microbiological plating (limit of detection of 10 cfu/ml). Thus, administration of the ethanol treated spore population to Patient 1 resulted not only in the engraftment of bacterial species such as but not limited to spore forming species, but also the restoration of high levels of non-spore forming species commonly found in healthy individuals through the creation of a niche that allowed for the repopulation of Bacteroides species. These organisms were most likely either present at extremely low abundance in the GI tract of Patient 1, or present in a reservoir in the GI tract from which they could rebound to high titer. Those species may also be reinoculated via oral uptake from food following treatment. We term this healthy repopulation of the gut with OTUs that are not present in the bacterial composition such as but not limited to a spore population or ethanol treated spore population, “Augmentation.” Augmentation is an important phenomenon in that it shows the ability to use an ethanol treated spore ecology or other bacterial composition to restore a healthy microbiota by seeding a diverse array or commensal organisms beyond the actual component organisms in the bacterial composition such as but not limited to an ethanol treated spore population itself; specifically the spore composition treatment itself and the engraftment of OTUs from the spore composition create a niche that enables the outgrowth of OTUs required to shift a dysbiotic microbiome to a microbial ecology that is associated with health. The diversity of Bacteroides species and their approximate relative abundance in the gut of Patient 1 is shown in Table 21, comprising at least 8 different species.
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The impact of the bacterial composition such as but not limited to an ethanol treated spore population treatment on carriage of imipenem resistant Enterobacteriaceae was assessed by plating pretreatment and Day 28 clinical samples from Patients 2, 4 and 5 on MacConkey lactose plus 1 ug/mL of imipenem. Resistant organisms were scored by morphology, enumerated and DNA was submitted for full length 16S rDNA sequencing as described above. Isolates were identified as Morganella morganii, Providencia rettgeri and Proteus pennerii. Each of these are gut commensal organisms; overgrowth can lead to bacteremia and/or urinary tract infections requiring aggressive antibiotic treatment and, in some cases, hospitalization [Kim, B-N, et al Scan J. Inf Dis (2003) 35: 98-103; Lee, I-K and Liu, J-W J. Microbiol Immunol Infect (2006) 39: 328-334; O'Hara et al, Clin Microbiol Rev (2000) 13: 534]. The titer of organisms at pretreatment and Day 28 by patient is shown in Table 22. Importantly, administration of the bacterial composition such as but not limited to an ethanol treated spore preparation resulted in greater than 100-fold reduction in 4 of 5 cases of Enterobacteriaceae carriage with multiple imipenem resistant organisms (Table 22).
In addition to speciation and enumeration, multiple isolates of each organism from Patient 4 were grown overnight in 96-well trays containing a 2-fold dilution series of imipenem in order to quantitatively determine the minimum inhibitory concentration (MIC) of antibiotic. Growth of organisms was detected by light scattering at 600 nm on a SpectraMax M5e plate reader. In the clinical setting, these species are considered resistant to imipenem if they have an MIC of 1 ug/mL or greater. M. morganii isolates from pretreatment samples from Patient D had MIC of 2-4 ug/mL and P. pennerii isolates had MICs of 4-8 ug/mL. Thus the bacterial composition such as but not limited to an ethanol treated spores administered to Patient 4 caused the clearance of 2 imipenem resistant organisms (Table 16). While this example specifically uses a spore preparation, the methods herein describe how one skilled in the art would use a more general bacterial composition to achieve the same effects. The specific example should not be viewed as a limitation of the scope of this disclosure.
Ten different bacterial compositions were made by the ethanol treated spore preparation methods from 6 different donors (as described herein). The spore preparations were used to treat 10 patients, each suffering from recurrent C. difficile infection. Patients were identified using the inclusion/exclusion criteria described herein, and donors were identified using the criteria described herein. None of the patients experienced a relapse of C. difficile in the 4 weeks of follow up after treatment, whereas the literature would predict that 70-80% of subjects would experience a relapse following cessation of antibiotic [Van Nood, et al, NEJM (2013)]. Thus, the ethanol treated spore preparations derived from multiple different donors and donations showed remarkable clinical efficacy. These ethanol treated spore preparations are a subset of the bacterial compositions described herein and the results should not be viewed as a limitation on the scope of the broader set of bacterial compositions.
To define the Core Ecology underlying the remarkable clinical efficacy of the bacterial compositions e.g. ethanol treated spore preparations, the following analysis was carried out. The OTU composition of the spore preparation was determined by 16S-V4 rDNA sequencing and computational assignment of OTUs per Example 12. A requirement to detect at least ten sequence reads in the ethanol treated spore preparation was set as a conservative threshold to define only OTUs that were highly unlikely to arise from errors during amplification or sequencing. Methods routinely employed by those familiar to the art of genomic-based microbiome characterization use a read relative abundance threshold of 0.005% (see e.g. Bokulich, A. et al. 2013. Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing. Nature Methods 10: 57-59), which would equate to reads given the sequencing depth obtained for the samples analyzed in this example, as cut-off which is substantially lower than the ≧10 reads used in this analysis. All taxonomic and clade assignments were made for each OTU as described in herein. The resulting list of OTUs, clade assignments, and frequency of detection in the spore preparations are shown in Table GB. OTUs that engraft in a treated patients and the percentage of patients in which they engraft are denoted, as are the clades, spore forming status, and Keystone OTU status. Bolded OTUs occur in ≧80% of the ethanol preps and engraft in ≧50% of the treated patients.
Next, it was reasoned that for an OTU to be considered a member of the Core Ecology of the bacterial composition, that OTU must be shown to engraft in a patient. Engraftment is important for two reasons. First, engraftment is a sine qua non of the mechanism to reshape the microbiome and eliminate C. difficile colonization. OTUs that engraft with higher frequency are highly likely to be a component of the Core Ecology of the spore preparation or broadly speaking a set bacterial composition Second, OTUs detected by sequencing a bacterial composition (as in Table GB) may include non-viable cells or other contaminant DNA molecules not associated with the composition. The requirement that an OTU must be shown to engraft in the patient eliminates OTUs that represent non-viable cells or contaminating sequences. Table GB also identifies all OTUs detected in the bacterial composition that also were shown to engraft in at least one patient post-treatment. OTUs that are present in a large percentage of the bacterial composition e.g. ethanol spore preparations analyzed and that engraft in a large number of patients represent a subset of the Core Ecology that are highly likely to catalyze the shift from a dysbiotic disease ecology to a healthy microbiome.
A third lens was applied to further refine insights into the Core Ecology of the bacterial composition e.g. spore preparation. Computational-based, network analysis has enabled the description of microbial ecologies that are present in the microbiota of a broad population of healthy individuals. These network ecologies are comprised of multiple OTUs, some of which are defined as Keystone OTUs. Keystone OTUs are computationally defined as described herein. Keystone OTUs form a foundation to the microbially ecologies in that they are found and as such are central to the function of network ecologies in healthy subjects. Keystone OTUs associated with microbial ecologies associated with healthy subjects are often are missing or exist at reduced levels in subjects with disease. Keystone OTUs may exist in low, moderate, or high abundance in subjects. Table GB further notes which of the OTUs in the bacterial composition e.g. spore preparation are Keystone OTUs exclusively associated with individuals that are healthy and do not harbor disease.
There are several important findings from this data. A relatively small number of species, 16 in total, are detected in all of the spore preparations from 6 donors and 10 donations. This is surprising because the HMP database (www.hmpdacc.org) describes the enormous variability of commensal species across healthy individuals. The presence of a small number of consistent OTUs lends support to the concept of a Core Ecology. The engraftment data further supports this conclusion. A regression analysis shows a significant correlation between frequency of detection in a spore preparation and frequency of engraftment in a donor: R=0.43 (p<0.001). While this may seem obvious, there is no a priori requirement that an OTU detected frequently in the bacterial composition e.g. spore preparation will or should engraft. For instance, Lutispora thermophila, a spore former found in all ten spore preparations, did not engraft in any of the patients. Bilophila wadsworthia, a gram negative anaerobe, is present in 9 of 10 donations, yet it does not engraft in any patient, indicating that it is likely a non-viable contaminant in the ethanol treated spore preparation. Finally, it is worth noting the high preponderance of previously defined Keystone OTUs among the most frequent OTUs in the spore preparations.
These three factors—prevalence in the bacterial composition such as but not limited to a spore preparation, frequency of engraftment, and designation as a Keystone OTUs—enabled the creation of a “Core Ecology Score” (CES) to rank individual OTUs. CES was defined as follows:
Using this guide, the CES has a maximum possible score of 5 and a minimum possible score of 0.8. As an example, an OTU found in 8 of the 10 bacterial composition such as but not limited to a spore preparations that engrafted in 3 patients and was a Keystone OTU would be assigned the follow CES:
CES=(0.4×2.5)+(0.4×1)+(0.2×1)=1.6
Table GC ranks the top 20 OTUs by CES with the further requirement that an OTU must be shown to engraft to be a considered an element of a core ecology.
The number of organisms in the human gastrointestinal tract, as well as the diversity between healthy individuals, is indicative of the functional redundancy of a healthy gut microbiome ecology (see The Human Microbiome Consortia. 2012. Structure, function and diversity of the healthy human microbiome. Nature 486: 207-214). This redundancy makes it highly likely that subsets of the Core Ecology describe therapeutically beneficial components of the bacterial composition such as but not limited to an ethanol treated spore preparation and that such subsets may themselves be useful compositions for the treatment of C. difficile infection given the ecologies functional characteristics. Using the CES, individual OTUs can be prioritized for evaluation as an efficacious subset of the Core Ecology.
Another aspect of functional redundancy is that evolutionarily related organisms (i.e. those close to one another on the phylogenetic tree, e.g. those grouped into a single Glade) will also be effective substitutes in the Core Ecology or a subset thereof for treating C. difficile.
To one skilled in the art, the selection of appropriate OTU subsets for testing in vitro or in vivo (e.g. see Examples 6 or 7) is straightforward. Subsets may be selected by picking any 2, 3, 4, 5, 6, 7, 8, 9, 10, or more than 10 OTUs from Table GB, with a particular emphasis on those with higher CES, such as the OTUs described in Table GC. In addition, using the clade relationships defined in Example 2 and Table 1 above, related OTUs can be selected as substitutes for OTUs with acceptable CES values. These organisms can be cultured anaerobically in vitro using the appropriate media (selected from those described in Example 5 above), and then combined in a desired ratio. A typical experiment in the mouse C. difficile model utilizes at least 104 and preferably at least 105, 106, 107, 108, 109 or more than 109 colony forming units of a each microbe in the composition. Variations in the culture yields may sometimes mean that organisms are combined in unequal ratios, e.g. 1:10, 1:100, 1:1,000, 1:10,000, 1:100,000, or greater than 1:100,000. What is important in these compositions is that each strain be provided in a minimum amount so that the strain's contribution to the efficacy of the Core Ecology subset can be measured. Using the principles and instructions described here, it is straightforward for one of skill in the art to make clade-based substitutions to test the efficacy of subsets of the Core Ecology. Table GB describes the clades for each OTU detected in a spore preparation and Table 1 describes the OTUs that can be used for substitutions based on clade relationships.
The emergence and spread of highly antibiotic-resistant bacteria represent a major clinical challenge (Snitkin et al Science Translational Medicine, 2012). In recent years, the numbers of infections caused by organisms such as methicillin-resistant Staphylococcus aureus, carbapenem-resistant Enterobacteriaceae, vancomycin-resistant Enterococcus (VRE), and Clostridium difficile have increased markedly, and many of these strains are acquiring resistance to the few remaining active antibiotics. Most infections produced by highly antibiotic-resistant bacteria are acquired during hospitalizations, and preventing patient-to-patient transmission of these pathogens is one of the major challenges confronting hospitals and clinics. Most highly antibiotic-resistant bacterial strains belong to genera that colonize mucosal surfaces, usually at low densities. The highly complex microbiota that normally colonizes mucosal surfaces inhibits expansion of and domination by bacteria such as Enterobacteriaceae and Enterococcaceae. Destruction of the normal flora by antibiotic administration, however, disinhibition antibiotic-resistant members of these bacterial families, leading to their expansion to very high densities (Ubeda et al Journal of Clinical Investigation 2010). High-density colonization by these organisms can be calamitous for the susceptible patient, resulting in bacteremia and sepsis (Taur et al, Clinical Infectious Disease, 2012).
To test prophylactic use and treatment of a bacterial composition test article, a VRE infection mouse model is used as previously described (Ubeda et al, Infectious Immunity 2013, Ubeda et al, Journal of clinical investigation, 2010). Briefly, experiments are done with 7-week-old C57BL/6J female mice purchased from Jackson Laboratory, housed with irradiated food, and provided with acidified water. Mice are individually housed to avoid contamination between mice due to coprophagia. For experimental infections with VRE, mice are treated with ampicillin (0.5 g/liter) in their drinking water, which is changed every 3 days.
In the treatment model, on day 1, mice are infected by means of oral gavage with 108 CFU of the vancomycin-resistant Enterococcus faecium strain purchased from ATCC (ATCC 700221). One day after infection (day 1), antibiotic treatment is stopped and VRE levels are determined at different time points by plating serial dilutions of fecal pellets on Enterococcosel agar plates (Difco) with vancomycin (8 ug/ml; Sigma). VRE colonies are identified by appearance and confirmed by Gram staining or other methods previously described (e.g. see example 1, 2 and 3). In addition, as previously described (Ubeda et al, Journal of Clinical Investigation 2010), PCR of the vanA gene, which confers resistance to vancomycin, confirms the presence of VRE in infected mice. The bacterial composition test article such as but not limited to an ethanol treated, gradient purified spore preparation (as described herein), fecal suspension, or antibiotic treatment is delivered in PBS on days 1-3 while the negative control contains only PBS and is also delivered on days 1-3 by oral gavage. Fresh fecal stool pellets are obtained daily for the duration of the experiment from days −7 to day 10. The samples are immediately frozen and stored at −80° C. DNA was extracted using standard techniques and analyzed with 16S or comparable methods (e.g. see example 2 and 3).
In the colonization model, ampicillin is administered as described above for day −7 to day 1, treatment with the test article or vehicle control is administered on day 0-2 and the VRE resistant bacteria at 108 CFU are administered on day 14. Fecal samples are taken throughout the experiment daily from −7 to day 21 and submitted for 16S sequencing as previously described (e.g. see examples 2 and 3).
In both models titers of VRE in feces are used to evaluate the success of the test article versus the negative control. Furthermore, microbiota composition is assessed for the ability of the bacterial composition test article to induce a healthy microbiome.
The emergence of Klebsiella pneumoniae strains with decreased susceptibility to carbapenems is a significant threat to hospitalized patients. Resistance to carbapenems in these organisms is most frequently mediated by K. pneumoniae carbapenemase (KPC), a class A beta-lactamase that also confers resistance to broad-spectrum cephalosporins and commercially available beta-lactam/beta-lactamase inhibitor combinations (Queenan et al, Clinical Microbiology Review, 2007). KPC-producing K. pneumoniae (KPC-Kp) strains often harbor resistance determinants against several other classes of antimicrobials, including aminoglycosides and fluoroquinolones, resulting in truly multidrug-resistant (MDR) organisms (Hirsch et al, Journal of Antimicrobial Chemotherapy, 2009). Considering the limited antimicrobial options, infections caused by KPC-Kp pose a tremendous therapeutic challenge and are associated with poor clinical outcomes
A treatment protocol in a mouse model as previously described (e.g. Perez et al, Antimicrobial Agents Chemotherapy, 2011) is used to evaluate the bacterial composition (test article) for treating carbapenem resistant Klebsiella and reducing carriage in the GI tract. Female CF1 mice (Harlan Sprague-Dawley, Indianapolis, Ind.) are used and are individually housed and weighed between 25 and 30 g.
The thoroughly characterized strain of K. pneumoniae, VA-367 (8, 9, 25) is used in this study. This clinical isolate is genetically related to the KPC-Kp strain circulating in the Eastern United States. Characterization of the resistance mechanisms in K. pneumoniae VA-367 with PCR and DNA sequence analysis revealed the presence of blaKPC-3, blaTEM-1, blaSHV-11, and blaSHV-12 as well as qnrB19 and aac(6′)-lb. Additionally, PCR and DNA sequencing revealed disruptions in the coding sequences of the following outer membrane protein genes: ompK35, ompK36, and ompK37. Antibiotic susceptibility testing (AST) was performed with the agar dilution method and interpreted according to current recommendations from the Clinical and Laboratory Standards Institute (CLSI). A modified Hodge test were performed, according to a method described previously (e.g. see Anderson et al, Journal of Clinical Microbiology, 2007) with ertapenem, meropenem, and imipenem. Tigecycline and polymyxin E were evaluated by Etest susceptibility assays (AB bioM erieux, Solna, Sweden). Results for tigecycline were interpreted as suggested by the U.S. Food and Drug Administration (FDA) and according to CLSI recommendations (criteria for Pseudomonas) for polymyxin E.
Mice (10 per group) are assigned to either a bacterial composition (test article), ethanol treated, spore preparation (e.g. as described herein), antibiotic clindamycin, piperacillin-tazobactam, tigecycline, ertapenem, cefepime, ciprofloxacin, or combination thereof or control group receiving only the vehicle. They are administered the test article daily from day −10 to day 0, On day 0, 103 CFU of KPC-Kp VA-367 diluted in 0.5 ml phosphate-buffered saline (PBS) was administered by oral gavage using a stainless-steel feeding tube (Perfektum; Popper & Sons, New Hyde Park, N.Y.). Stool samples were collected 1, 4, 6, and 11 days after the administration of KPC-Kp in order to measure the concentration of carbapenem-resistant K. pneumoniae. Stool samples (100 mg diluted in 800 ml of PBS) are plated onto MacConkey agar with and without 0.5 ug/ml of imipenem, and the number of CFU per gram of stool was determined. Alternatively other methods may be used to measure the levels of carbapenem-resistant K. pneumoniae e.g. per, antigen testing, as one who's skilled in the art could perform.
Stool samples were collected after 5 days of treatment to assess the effects of the antibiotics on the stool microflora and to measure antibiotic levels in stool. To assess the effects on the microflora, fresh stool samples as previously described (e.g. see examples 2 and 3). Additional experiments are performed to examine whether the administration the bacterial composition (test article) resulted in the elimination or persistence of colonization with KPC-Kp VA-367.
Mice are treated with subcutaneous clindamycin to reduce the normal intestinal flora 1 day before receiving 104 CFU of KPC-Kp VA-367 by oral gavage, and the mice continued to receive subcutaneous clindamycin every other day for 7 days. Concurrently, for 7 days after oral gavage with KPC-Kp, mice received oral gavage of normal saline (control group), or the bacterial composition as specified. An additional dose of subcutaneous clindamycin was administered 20 days after the administration of KPC-Kp VA-367 to assess whether low levels of carbapenem-resistant K. pneumoniae were present that could be augmented by the elimination of the anaerobic microflora. Stool samples were collected at baseline and at 3, 6, 8, 11, 16, and 21 days after KPC-Kp VA-367 was given by gavage. The bacterial composition will be examined by the reduction of CRKB in feces.
The human body is an ecosystem in which the microbiota, and the microbiome, play a significant role in the basic healthy function of human systems (e.g. metabolic, immunological, and neurological). The microbiota and resulting microbiome comprise an ecology of microorganisms that co-exist within single subjects interacting with one another and their host (i.e., the mammalian subject) to form a dynamic unit with inherent biodiversity and functional characteristics. Within these networks of interacting microbes (i.e. ecologies), particular members can contribute more significantly than others; as such these members are also found in many different ecologies, and the loss of these microbes from the ecology can have a significant impact on the functional capabilities of the specific ecology. Robert Paine coined the concept “Keystone Species” in 1969 (see Paine R T. 1969. A note on trophic complexity and community stability. The American Naturalist 103: 91-93.) to describe the existence of such lynchpin species that are integral to a given ecosystem regardless of their abundance in the ecological community. Paine originally describe the role of the starfish Pisaster ochraceus in marine systems and since the concept has been experimentally validated in numerous ecosystems.
Keystone OTUs and/or Functions are computationally-derived by analysis of network ecologies elucidated from a defined set of samples that share a specific phenotype. Keystone OTUs and/or Functions are defined as all Nodes within a defined set of networks that meet two or more of the following criteria. Using Criterion 1, the node is frequently observed in networks, and the networks in which the node is observed are found in a large number of individual subjects; the frequency of occurrence of these Nodes in networks and the pervasiveness of the networks in individuals indicates these Nodes perform an important biological function in many individuals. Using Criterion 2, the node is frequently observed in networks, and each the networks in which the node is observed contain a large number of Nodes—these Nodes are thus “super-connectors”, meaning that they form a nucleus of a majority of networks and as such have high biological significance with respect to their functional contributions to a given ecology. Using Criterion 3, the node is found in networks containing a large number of Nodes (i.e. they are large networks), and the networks in which the node is found occur in a large number of subjects; these networks are potentially of high interest as it is unlikely that large networks occurring in many individuals would occur by chance alone strongly suggesting biological relevance. Optionally, the required thresholds for the frequency at which a node is observed in network ecologies, the frequency at which a given network is observed across subject samples, and the size of a given network to be considered a Keystone node are defined by the 50th, 70th, 80th, or 90th percentiles of the distribution of these variables. Optionally, the required thresholds are defined by the value for a given variable that is significantly different from the mean or median value for a given variable using standard parametric or non-parametric measures of statistical significance. In another embodiment a Keystone node is defined as one that occurs in a sample phenotype of interest such as but not limited to “health” and simultaneously does not occur in a sample phenotype that is not of interest such as but not limited to “disease.” Optionally, a Keystone Node is defined as one that is shown to be significantly different from what is observed using permuted test datasets to measure significance.
Two strains for the bacterial composition are independently cultured and mixed together before administration. Both strains are independently be grown at 37° C., pH 7, in a GMM or other animal-products-free medium, pre-reduced with 1 g/L cysteineŸHCl. After each strain reaches a sufficient biomass, it is preserved for banking by adding 15% glycerol and then frozen at −80° C. in 1 ml cryotubes.
Each strain is then be cultivated to a concentration of 1010 CFU/mL, then concentrated 20-fold by tangential flow microfiltration; the spent medium is exchanged by diafiltering with a preservative medium consisting of 2% gelatin, 100 mM trehalose, and 10 mM sodium phosphate buffer, or other suitable preservative medium. The suspension is freeze-dried to a powder and titrated.
After drying, the powder is blended with microcrystalline cellulose and magnesium stearate and formulated into a 250 mg gelatin capsule containing 10 mg of lyophilized powder (108 to 1011 bacteria), 160 mg microcrystalline cellulose, 77.5 mg gelatin, and 2.5 mg magnesium stearate.
In the case of pathogenic sporulating bacteria, typically bacterial spores must germinate and initiate vegetative cell growth in order to trigger disease symptoms. An example is C. difficile, which is highly infectious when in the dormant, spore phase, but must germinate and grow in order to cause the symptoms of Clostridium difficile-associated disease (CDAD) (Burns et al., Research in Microbiology, Volume 161, Issue 9, November 2010, Pages 730-734). Preventing pathogenic spore germination by using sets of strains to metabolize available germinants is therefore a viable strategy for preventing disease caused by sporulating bacteria.
One method to isolate and identify single strains or sets of strains that utilize similar nutrients and germinants to a given pathogen involves selecting for such microbes from complex communities of bacteria. Plating a complex community of bacteria on plates that are selective for the pathogenic vegetative or spore of interest can lead to the isolation of species with similar nutrient and germinant utilization profiles.
Fecal suspensions from samples that tested negative for the presence of C. difficile were left untreated or treated with 50% ethanol for 1 hour to select for bacterial spores and eliminate vegetative bacteria. These samples were then plated on commercially available plates for the selective isolation of C. difficile (chromID® C. difficile plates from Biomerieux, or Clostridium difficile selective agar (CDSA) plates from BD). These plates contain mixtures of germinants which support C. difficile germination and nutrients which support C. difficile vegetative growth. Individual colonies of strains that grew on these plates were picked for identification via 16S ribosomal sequencing. These strains utilize essential nutrients and germinants necessary for C. difficile germination and growth, and thus represent candidates for use in multi-strain bacterial compositions to treat and prevent CDAD.
, Treatment 3 consists of 15 organisms that comprise C. disporicum, C. mayombei, C. tertium, C. innocuum, and Collineslla aerofaciens each of which was shown to utilized similar nutrients and germinants as C. difficile in the present example (Table X). This treatment prevented C. difficile-associated mortality, weight loss, and clinical symptoms upon challenge with the pathogen.
C. difficile
Bacterial species that inhibit the germination of spores of a pathogen can be determined by finding a competitor species or combination of competitor species that overlap for germination requirements. As an example, the method described in Example 15 can be used to find a list of germination requirements for a spore forming pathogen. Potential competitors can be tested in parallel and chosen based on the level of overlap for germination requirements when the bacteria are grown from spores. For this assay, a culture consisting of pure spores is used as the inoculating material. A pure spore sample is prepared by treating a culture of a spore forming species with 50% ethanol for 1 hr with mixing. After incubation in ethanol the suspension is pelleted in a centrifuge at 12,000 rpm for 5 min. The spores are then resuspended in PBS. Germination from spores are tested in parallel with and without added germinants. After incubation for 1 hr to allow germination, each sample is serially diluted and plated for titer. Nutrients are scored as germinants if titer is higher in the presence of the nutrient. A combination of competitors which overlap sufficiently with the germination requirements of the pathogen can be selected as a set with potential to prevent germination of the pathogen.
C. difficile is a spore former whose germination is induced by primary bile salts, including cholate, taurocholate, glycocholate and other taurocholate derivatives [Sorg and Sonnenshein (2008) J Bact 190: 2505-2512; Theriot, C. M. et al., (2013) Nat Communications DOI: 10.1038/ncomms4114]. Many commensal organisms encode enzymes that dehydroxylate primary bile salts to secondary bile salts, including lithocholate, deoxycholate isomers, and various conjugated bile salts. An overnight culture of the commensal of interest is incubated in a growth media containing added taurocholate or cholate. Concentrations of between 0.001% and 0.1% are tested with each growth media in a 96 well measuring growth by monitoring OD600 in order to find a concentration of each bile salt that is not inhibitory to growth of the commensal organism of interest. For each condition in which growth was observed, an aliquot is analyzed. The microbes are removed by centrifugation, and the supernatant tested using LC-electrospray-triple quadrupole mass spectrometry, or an equivalent method, to detect the production of secondary bile acids from taurocholate and cholate. A set of reference standards, including commercially available primary and secondary bile acids, is prepared and run in parallel. A microbial composition is then selected by combining two or more commensals capable of metabolizing taurocholate and cholate and tested for the ability to prevent C. difficile infection in the mouse as described in the examples herein.
The specific nutrient utilization capabilities of a pathogen can be determined by use of one, or a combination of methods described above. In one instance, a list of compounds which allow, enhance or are necessary for the growth of Clostridium difficile was determined using the method described in Example 15 above. Wells that had a final value of 1.5× the negative control well under any of the conditions tested were scored as a growth requirement. Three strains of the same pathogen species were tested using a variety of redox buffer conditions, and compounds that supported growth of any of the strains were considered a growth substrate for the pathogen species.
The specific nutrient utilization capabilities of a bacterial species which is a potential pathogen competitor can be determined by use of one or, a combination of methods described above. In one instance, a list of compounds which allow, enhance or are necessary for the growth of a potential pathogen competitor species was determined by using the method described in Example 15 above. Wells that had a final absorbance value of at least 1.5× the negative control well under any of the conditions tested were scored as a nutrient that the competitor is capable of utilizing. A potential competitor of the pathogen or combination of competitors can be chosen based on the level of overlap with nutrient utilization capabilities of the pathogen. As a general principle, the greater the overlap, the greater potential the isolate or set of isolates has as a competitor to the pathogen.
The minimum concentration of a nutrient or other growth requirement necessary for growth can be determined by growth in a minimal defined media assay. In this assay, a minimal defined media is constructed that lacks at least one constituent necessary for growth. The specific missing nutrient is titrated into the defined media by two fold dilutions along a row of a 96-well plate. The potential competitor of a particular pathogen is then inoculated into all wells of the plate, and the growth rate is determined as a function of the test nutrient concentration. The plate is incubated for 48 hr and growth is measured by optical density (OD) at 600 nm. The well with the lowest concentration of nutrient that allows growth is determined to be the minimum threshold concentration. Potential competitors of the pathogen can be chosen by virtue of having a minimum threshold concentration below that of the pathogen.
The proliferation rate of a bacterial species can be determined by inoculating the species being tested into a defined media and measuring the titer at several points over a time course. In one example, a pathogen or potential competitor of the pathogen is inoculated into a minimal defined media containing the nutrient being tested. For instance, Clostridium difficile growth rates can be measured in defined media containing a single carbon source (Theriot et al., 2013 (Nature Communications)). A variety of carbon sources are tested, with glucose as a positive control and no carbohydrate media as negative controls. The defined media used for the assay contains 0.5% (wt/vol) of the test carbohydrate, no other carbon source, and 0.125 mg/l biotin, 1 mg/l pyridoxine and pantothenate, 75 mg/l histidine, glycine and tryptophan, 150 mg/l arginine, methionine and threonine, 225 mg/l valine and isoleucine, 300 mg/l leucine, 400 mg/l cysteine, and 450 mg/l proline.
Specifically, for each carbon source tested, C. difficile is cultured for 14 hours in brain heart infusion medium at 37 degrees and then subcultured 1:3 into defined media containing 0.5% glucose with the described vitamins and amino acids, grown for 3 hours, centrifuged for 10 min at 2000×g, and resuspended in equal volume of anaerobically equilibrated PBS buffer. 100 μl of the suspension is used to inoculate defined media containing 0.5% test carbohydrate and described vitamins and amino acids. Samples are incubated shaking at 200 r.p.m. OD800 is monitored hourly for 24 hours in a Thermo Scientific Spectronic 20D+ apparatus. The specific growth rate is determined as growth rate=In(X/Xo)/T, where X is the OD600 value during the linear portion of growth and T is time (hours). Values are reported as the mean of 3 independent cultures conducted twice (see Table XX).
Alternatively, progress of growth can be determined by taking a small aliquot at each timepoint, serially diluting and plating to a nutrient rich solid media to count colonies.
Comparison can be made between the pathogen and potential competitor species to define competitors with high potential to compete with C. difficile. High potential competitor candidates will have a growth rate that is faster than that of the pathogen microbe.
An in vitro assay is performed to test the ability of a chosen species or combination of species to inhibit the growth of a pathogen such as Clostridium difficile in media that is otherwise suitable for growth of the pathogen. A liquid media suitable for growth of the pathogen is chosen, such as Brain Heart Infusion Broth (BHI) for C. difficile. The potential competitor species or a combination of competitor species are inoculated into 3 mL of the media and incubated anaerobically for 24 hr at 37° C. After incubation the cells are pelleted in a centrifuge at 10,000 rcf for 5 min. Supernatant is removed and filtered through a 0.22 μm filter to remove all cells. C. difficile or another pathogen of interest is then inoculated into the filtered spent supernatant and grown anaerobically at 37° C. for 24 hr. A control culture in fresh media is incubated in parallel. After incubation, the titer of C. difficile is determined by serially diluting and plating to Brucella Blood Agar (BBA) plates and incubated anaerobically for 24 hr at 37° C. Colonies are counted to determine the final titer of the pathogen after incubation in competitor conditioned media and control media. The percent reduction in final titer is calculated and considered inhibitory if a statistically significant reduction in growth is measured. Alternatively, the inhibition of pathogen growth is monitored by OD600 measurement of the test and control cultures.
Based on the principles of identifying bacterial compositions of species that compete for resources with a pathogen or pathobiont, one builds sets of species that are likely to displace a pathogen or pathobiont in a host gut. Mechanisms include competition between a set of organisms and a pathogen or pathobiont based on nutrient utilization, minimum nutrient threshold for a given important nutrient or subset of important nutrients, proliferation rate, germinant requirements or general mechanisms understood through the in vitro competition assay. Additional other mechanisms are recognized by one skilled in the art in light of the teachings described herein and thus the mechanisms described should not be viewed as limiting the scope of this disclosure. The bacterial combinations can then be prepared as described and tested in vivo in an appropriate host model as described herein.
Combinations of bacterial species to test in a mouse model of Clostridium difficile associated disease were chosen by use of a screen for nutrient utilization of both the pathogen and 17 potential competitors of the pathogen using the methods described herein. The use of nutrients used by each of the potential competitors was cross-referenced to the list of nutrients used by any of the Clostridium difficile strains tested under any condition tested. The 17 strains were rank-ordered for overlap with the list of Clostridium difficile nutrients. Two and three species combinations were chosen from the top three species (Clostridium hylemonae, Blautia producta, Clostridium butyricum) ranked for overlap with Clostridium difficile nutrients. Four species combinations were chosen from species that ranked in the top 50% when rank ordered for overlap with Clostridium difficile nutrients. A three species combination with reduced overlap was also chosen based on a rank ordering of nutrient utilization by Clostridium difficile.
To test the therapeutic potential of the bacterial compositions a prophylactic mouse model of C. difficile infection (model based on Chen, et al., A mouse model of Clostridium difficile associated disease, Gastroenterology 135(6):1984-1992) was used. Two cages of five mice each were tested for each arm of the experiment. All mice received an antibiotic cocktail consisting of 10% glucose, kanamycin (0.5 mg/ml), gentamicin (0.044 mg/ml), colistin (1062.5 U/ml), metronidazole (0.269 mg/ml), ciprofloxacin (0.156 mg/ml), ampicillin (0.1 mg/ml) and Vancomycin (0.056 mg/ml) in their drinking water on days −14 through −5 and a dose of 10 mg/kg Clindamycin by oral gavage on day −3. On day −1, they received either the test article or vehicle control via oral gavage. On day 0 they were challenged by administration of approximately 4.5 log 10 cfu of C. difficile (ATCC 43255) via oral gavage. A positive control group receives Vancomycin from day −1 through day 3 in addition to the antibiotic protocol and C. difficile challenge specified above. Feces were collected from the cages for analysis of bacterial carriage, mortality was assessed every day from day 0 to day 6 and the weight and subsequent weight change of the animal was assessed with weight loss being associated with C. difficile infection. Mortality and reduced weight loss of the test article compared to the empty vehicle were used to assess the success of the test article. Additionally, a C. difficile symptom scoring was performed each day from day −1 through day 6. Symptom scoring was based on Appearance (0-2 pts based on normal, hunched, piloerection, or lethargic), Respiration (0-2 pts based on normal, rapid or shallow, with abdominal breathing), Clinical Signs (0-2 points based on normal, wet tail, cold-to-the-touch, or isolation from other animals).
In addition to compiling the cumulative mortality for each arm, the average minimum relative weight is calculated as the mean of each mouse's minimum weight relative to Day −1 and the average maximum clinical score is calculated as the mean of each mouse's maximum combined clinical score with a score of 4 assigned in the case of death. The treatments are specified in Table W and the results are reported in Table Y.
It is important to select appropriate media to support growth, including preferred carbon sources. For example, some organisms prefer complex sugars such as cellobiose over simple sugars. Examples of media used are below. In the case of plating on solid media, multiple dilutions are plated out to ensure that some plates will have well isolated colonies on them for analysis, or alternatively plates with dense colonies may scraped and suspended in PBS to generate a mixed diverse community. Liquid media include (can be adapted to solid media by addition of 1.5% agar):
Construction of binary pairs in a high-throughput 96-well format. To allow high-throughput screening of binary pairs, vials of −80° C. glycerol stock banks were thawed and diluted to 1e8 CFU/mL. Each strain was then diluted 10× (to a final concentration of 1e7 CFU/mL of each strain) into 200 uL of PBS+15% glycerol in the wells of a 96-well plate. Plates were then frozen at −80° C. When needed, plates were removed from −80° C. and thawed at room temperature under anaerobic conditions when testing in an In vitro inhibition assay with Clostridium difficile.
Construction of ternary combinations in a high-throughput 96-well format. To allow high-throughput screening of ternary combinations, vials of −80° C. glycerol stock banks were thawed and diluted to 1e8 CFU/mL. Each strain was then diluted 10× (to a final concentration of 1e7 CFU/mL of each strain) into 200 uL of PBS+15% glycerol in the wells of a 96-well plate. Plates were then frozen at −80° C. When needed for the assay, plates were removed from −80° C. and thawed at room temperature under anaerobic conditions when testing in an In vitro inhibition assay with Clostridium difficile.
Construction of an In vitro inhibition Assay to Screen for Ecobiotic™ compositions Inhibitory to the Growth of Clostridium difficile. Inhibition of C. difficile in this assay may result from competition for nutrients; other mechanisms of inhibition may contribute, as the assay is not limited to a single mechanism.
An overnight culture of Clostridium difficile was grown under anaerobic conditions in SweetB-FosIn or other suitable media for the growth of C. difficile. SweetB-FosIn is a complex media composed of brain heart infusion, yeast extract, cysteine, cellobiose, maltose, soluble starch, and fructooligosaccharides/inulin, and hemin, and is buffered with MOPs. After 24 hr of growth the culture was diluted 100,000 fold into a complex media such as SweetB-FosIn which is suitable for the growth of a wide variety of anaerobic bacterial species. The diluted C. difficile mixture was then aliquoted to wells of a 96-well plate (180 uL to each well). 20 uL of a unique binary pair of potential inhibitory species was then added to each well at a final concentration of 1e6 CFU/mL of each species. Alternatively the assay can be tested with binary pairs at different initial concentrations (1e9 CFU/mL, 1e8 CFU/mL, 1e7 CFU/mL, 1e5 CFU/mL, 1e4 CFU/mL, 1e3 CFU/mL, 1e2 CFU/mL). Control wells only inoculated with C. difficile were included for a comparison to the growth of C. difficile without inhibition. Additional wells were used for controls that either inhibit or do not inhibit the growth of C. difficile. One example of a positive control that inhibits growth was a combination of Blautia producta, Clostridium bifermentans and Escherichia coli. One example of a control that shows reduced inhibition of C. difficile growth as a combination of Bacteroides thetaiotaomicron, Bacteroides ovatus and Bacteroides vulgatus. Plates were wrapped with parafilm and incubated for 24 hr at 37° C. under anaerobic conditions. After 24 hr the wells containing C. difficile alone were serially diluted and plated to determine titer. The 96-well plate was then frozen at −80 C before quantifying C. difficile by qPCR assay.
Construction of an in vitro inhibition Assay to Screen for bacterial compositions that are inhibitory to the growth of Clostridium difficile by diffusion mediated mechanisms. The In vitro inhibition assay described above was modified by using a 0.22 uM filter insert (Millipore™ MultiScreen™ 96-Well Assay Plates—Item MAGVS2210) in 96-well format to physically separate C. difficile from the bacterial compositions. The C. difficile was aliquoted into the 96-well plate while the bacterial compositions were aliquoted into media on the filter overlay. The nutrient media as in contact on both sides of the 0.22 uM filter, allowing exchange of nutrients, small molecules and many macromolecules (e.g., bacteriocins, cell-surface proteins, or polysaccharides) by diffusion. In this embodiment, after 24 hr incubation, the filter insert containing the bacterial compositions was removed. The plate containing C. difficile was then transferred to a 96-well plate reader suitable for measuring optical density (OD) at 600 nm. The growth of C. difficile in the presence of different bacterial compositions was compared based on the OD measurement.
Construction of an In vitro inhibition Assay to Screen for bacterial compositions inhibitory to the growth of Clostridium difficile using Clostridium difficile selective media for quantification. The In vitro inhibition assay described above can be modified to determine final C. difficile titer by serially diluting and plating to C. difficile selective media (Bloedt et al 2009) such as CCFA (cycloserine cefoxitin fructose agar, Anaerobe Systems), CDSA (Clostridium difficile selective agar, which is cycloserine cefoxitin mannitol agar, Becton Dickinson).
The standard curve was generated from a well on each assay plate containing only pathogenic C. difficile grown in SweetB+FosIn media as provided herein and quantified by selective spot plating. Serial dilutions of the culture were performed in sterile phosphate-buffered saline. Genomic DNA was extracted from the standard curve samples along with the other wells.
Genomic DNA Extraction
Genomic DNA was extracted from 5 μl of each sample using a dilution, freeze/thaw, and heat lysis protocol. 5 μL of thawed samples were added to 45 μL of UltraPure water (Life Technologies, Carlsbad, Calif.) and mixed by pipetting. The plates with diluted samples were frozen at −20° C. until use for qPCR which includes a heated lysis step prior to amplification. Alternatively the genomic DNA could be isolated using the Mo Bio Powersoil®-htp 96 Well Soil DNA Isolation Kit (Mo Bio Laboratories, Carlsbad, Calif.), Mo Bio Powersoil® DNA Isolation Kit (Mo Bio Laboratories, Carlsbad, Calif.), or the QIAamp DNA Stool Mini Kit (QIAGEN, Valencia, Calif.) according to the manufacturer's instructions.
qPCR Composition and Conditions
The qPCR reaction mixture contained 1× SsoAdvanced Universal Probes Supermix, 900 nM of Wr-tcdB-F primer (AGCAGTTGAATATAGTGGTTTAGTTAGAGTTG, IDT, Coralville, Iowa), 900 nM of Wr-tcdB-R primer (CATGCTTTTTTAGTTTCTGGATTGAA, IDT, Coralville, Iowa), 250 nM of Wr-tcdB-P probe (6FAM-CATCCAGTCTCAATTGTATATGTTTCTCCA-MGB, Life Technologies, Grand Island, N.Y.), and Molecular Biology Grade Water (Mo Bio Laboratories, Carlsbad, Calif.) to 18 μl (Primers adapted from: Wroblewski, D. et al., Rapid Molecular Characterization of Clostridium difficile and Assessment of Populations of C. difficile in Stool Specimens, Journal of Clinical Microbiology 47:2142-2148 (2009)). This reaction mixture was aliquoted to wells of a Hard-shell Low-Profile Thin Wall 96-well Skirted PCR Plate (BioRad, Hercules, Calif.). To this reaction mixture, 2 μl of diluted, frozen, and thawed samples were added and the plate sealed with a Microseal ‘B’ Adhesive Seal (BioRad, Hercules, Calif.). The qPCR was performed on a BioRad C1000™ Thermal Cycler equipped with a CFX96™ Real-Time System (BioRad, Hercules, Calif.). The thermocycling conditions were 95° C. for 15 minutes followed by 45 cycles of 95° C. for 5 seconds, 60° C. for 30 seconds, and fluorescent readings of the FAM channel. Alternatively, the qPCR could be performed with other standard methods known to those skilled in the art.
Data Analysis
The Cq value for each well on the FAM channel was determined by the CFX Manager™ 3.0 software. The log10(cfu/mL) of C. difficile each experimental sample was calculated by inputting a given sample's Cq value into a linear regression model generated from the standard curve comparing the Cq values of the standard curve wells to the known log10(cfu/mL) of those samples. The log inhibition was calculated for each sample by subtracting the log10(cfu/mL) of C. difficile in the sample from the log10(cfu/mL) of C. difficile in the sample on each assay plate used for the generation of the standard curve that has no additional bacteria added. The mean log inhibition was calculated for all replicates for each composition.
A histogram of the range and standard deviation of each composition was plotted. Ranges or standard deviations of the log inhibitions that were distinct from the overall distribution were examined as possible outliers. If the removal of a single log inhibition datum from one of the binary pairs that were identified in the histograms would bring the range or standard deviation in line with those from the majority of the samples, that datum was removed as an outlier, and the mean log inhibition was recalculated.
The pooled variance of all samples evaluated in the assay was estimated as the average of the sample variances weighted by the sample's degrees of freedom. The pooled standard error was then calculated as the square root of the pooled variance divided by the square root of the number of samples. Confidence intervals for the null hypothesis were determined by multiplying the pooled standard error to the z score corresponding to a given percentage threshold. Mean log inhibitions outside the confidence interval were considered to be inhibitory if positive or stimulatory if negative with the percent confidence corresponding to the interval used. Samples with mean log inhibition greater than the 99% confidence interval (C.I) of the null hypothesis are reported as ++++, those with a 95%<C.I.<99% as +++, those with a 90%<C.I.<95% as ++, those with a 80%<C.I.<90% as +while samples with mean log inhibition less than than the 99% confidence interval (C.I) of the null hypothesis are reported as −−−−, those with a 95%<C.I.<99% as −−−, those with a 90%<C.I.<95% as −−, those with a 80%<C.I.<90% as −.
Many binary pairs inhibit C. difficile as shown in Table 5. 622 of 989 combinations show inhibition with a confidence interval >80%; 545 of 989 with a C.I.>90%; 507 of 989 with a C.I.>95%; 430 of 989 with a C.I. of >99%. Non-limiting but exemplary binary pairs include those with mean log reduction greater than 0.366, e.g. Allistipes shahii paired with Blautia producta, Clostridium hathaweyi, or Colinsella aerofaciens, or Clostidium mayombei paired with C. innocuum, C. tertium, Colinsella aerofaciens, or any of the other 424 combinations shown in Table 5. Equally important, the In vitro inhibition assay describes binary pairs that do not effectively inhibit C. difficile. 188 of 989 combinations promote growth with >80% confidence; 52 of 989 show a lack of inhibition with >90% confidence; 22 of 989 show a lack of inhibition with >95% confidence; 3 of 989, including B. producta combined with Coprococcus catus, Alistipes shahii combined with Dorea formicigenerans, and Eubacterium rectale combined with Roseburia intestinalis, show a lack of inhibition with >99% confidence. 249 of 989 combinations are neutral in the assay, meaning they neither promote nor inhibit C. difficile growth to the limit of measurement.
Ternary combinations with mean log inhibition greater than 0.312 are reported as ++++99% confidence interval (C.I.) of the null hypothesis), those with mean log inhibition between 0.221 and 0.312 as +++(95%<C.I.<99%), those with mean log inhibition between 0.171 and 0.221 as ++(90%<C.I.<95%), those with mean log inhibition between 0.113 and 0.171 as +(80%<C.I.<90%), those with mean log inhibition between −0.113 and −0.171 as −(80%<C.I.<90%), those with mean log inhibition between −0.171 and −0.221 as −−(90%<C.I.<95%), those with mean log inhibition between −0.221 and −0.312 as −−−(95%<C.I.<99%), and those with mean log inhibition less than −0.312 as −−−−(99%<C.I.).
The In vitro inhibition assay shows that many ternary combinations inhibit C. difficile. 39 of 56 combinations show inhibition with a confidence interval >80%; 36 of 56 with a C.I.>90%; 36 of 56 with a C.I.>95%; 29 of 56 with a C.I. of >99%. Non-limiting but exemplary ternary combinations include those with mean log reduction greater than 0.171, e.g. any combination shown in Table 6 with a score of ++++, such as Colinsella aerofaciens, Coprococcus comes, and Blautia producta. Equally important, the In vitro inhibition assay describes ternary combinations that do not effectively inhibit C. difficile. 5 of 56 combinations promote growth with >80% confidence; 2 of 56 promote growth with >90% confidence; 1 of 56, Coprococcus comes, Clostridium symbiosum and Eubacterium rectale, promote growth with >95% confidence. 12 of 56 combinations are neutral in the assay, meaning they neither promote nor inhibit C. difficile growth to the limit of measurement.
Unless otherwise indicated, all numbers expressing quantities of ingredients, reaction conditions, and so forth used in the specification, including claims, are to be understood as being modified in all instances by the term “about.” Accordingly, unless otherwise indicated to the contrary, the numerical parameters are approximations and may vary depending upon the desired properties sought to be obtained. At the very least, and not as an attempt to limit the application of the doctrine of equivalents to the scope of the claims, each numerical parameter should be construed in light of the number of significant digits and ordinary rounding approaches.
Unless otherwise indicated, the term “at least” preceding a series of elements is to be understood to refer to every element in the series.
While the invention has been particularly shown and described with reference to a preferred embodiment and various alternate embodiments, it will be understood by persons skilled in the relevant art that various changes in form and details can be made therein without departing from the spirit and scope of the invention.
All references, issued patents and patent applications cited within the body of the instant specification are hereby incorporated by reference in their entirety, for all purposes.
Tables
Clade membership of bacterial OTUs is based on 16S sequence data. Clades are defined based on the topology of a phylogenetic tree that is constructed from full-length 16S sequences using maximum likelihood methods familiar to individuals with ordinary skill in the art of phylogenetics. Clades are constructed to ensure that all OTUs in a given clade are: (i) within a specified number of bootstrap supported nodes from one another, and (ii) within 5% genetic similarity. OTUs that are within the same clade can be distinguished as genetically and phylogenetically distinct from OTUs in a different clade based on 16S-V4 sequence data, while OTUs falling within the same clade are closely related. OTUs falling within the same clade are evolutionarily closely related and may or may not be distinguishable from one another using 16S-V4 sequence data. Members of the same clade, due to their evolutionary relatedness, play similar functional roles in a microbial ecology such as that found in the human gut. Compositions substituting one species with another from the same clade are likely to have conserved ecological function and therefore are useful in the present invention. All OTUs are denoted as to their putative capacity to form spores and whether they are a Pathogen or Pathobiont (see Definitions for description of “Pathobiont”). NIAID Priority Pathogens are denoted as ‘Category-A’, ‘Category-B’, or ‘Category-C’, and Opportunistic Pathogens are denoted as ‘OP’. OTUs that are not pathogenic or for which their ability to exist as a pathogen is unknown are denoted as ‘N’. The ‘SEQ ID Number’ denotes the identifier of the OTU in the Sequence Listing File and ‘Public DB Accession’ denotes the identifier of the OTU in a public sequence repository.
Eubacterium saburreum
Eubacterium sp. oral clone
Alicyclobacillus acidocaldarius
Clostridium baratii
Clostridium colicanis
Clostridium paraputrificum
Clostridium sardiniense
Eubacterium budayi
Eubacterium moniliforme
Eubacterium multiforme
Eubacterium nitritogenes
Anoxybacillus flavithermus
Bacillus aerophilus
Bacillus aestuarii
Bacillus amyloliquefaciens
Bacillus anthracis
Bacillus atrophaeus
Bacillus badius
Bacillus cereus
Bacillus circulans
Bacillus firmus
Bacillus flexus
Bacillus fordii
Bacillus halmapalus
Bacillus herbersteinensis
Bacillus idriensis
Bacillus lentus
Bacillus licheniformis
Bacillus megaterium
Bacillus nealsonii
Bacillus niabensis
Bacillus niacini
Bacillus pocheonensis
Bacillus pumilus
Bacillus safensis
Bacillus simplex
Bacillus sonorensis
Bacillus sp. 10403023
Bacillus sp. 2_A_57_CT2
Bacillus sp. 2008724126
Bacillus sp. 2008724139
Bacillus sp. 7_16AIA
Bacillus sp. AP8
Bacillus sp. B27(2008)
Bacillus sp. BT1B_CT2
Bacillus sp. GB1.1
Bacillus sp. GB9
Bacillus sp. HU19.1
Bacillus sp. HU29
Bacillus sp. HU33.1
Bacillus sp. JC6
Bacillus sp. oral taxon F79
Bacillus sp. SRC_DSF1
Bacillus sp. SRC_DSF10
Bacillus sp. SRC_DSF2
Bacillus sp. SRC_DSF6
Bacillus sp. tc09
Bacillus sp. zh168
Bacillus sphaericus
Bacillus sporothermodurans
Bacillus subtilis
Bacillus thermoamylovorans
Bacillus thuringiensis
Bacillus weihenstephanensis
Geobacillus kaustophilus
Geobacillus
stearothermophilus
Geobacillus
thermodenitrificans
Geobacillus
thermoglucosidasius
Lysinibacillus sphaericus
Clostridium beijerinckii
Clostridium botulinum
Clostridium butyricum
Clostridium chauvoei
Clostridium favososporum
Clostridium histolyticum
Clostridium isatidis
Clostridium limosum
Clostridium sartagoforme
Clostridium septicum
Clostridium sp. 7_2_43FAA
Clostridium sporogenes
Clostridium tertium
Clostridium carnis
Clostridium celatum
Clostridium disporicum
Clostridium gasigenes
Clostridium quinii
Clostridium hylemonae
Clostridium scindens
Clostridium glycyrrhizinilyticum
Clostridium nexile
Coprococcus comes
Ruminococcus lactaris
Ruminococcus torques
Paenibacillus lautus
Paenibacillus polymyxa
Paenibacillus sp. HGF5
Paenibacillus sp. HGF7
Eubacterium sp. oral clone
Alicyclobacillus contaminans
Alicyclobacillus herbarius
Alicyclobacillus pomorum
Blautia coccoides
Blautia glucerasea
Blautia glucerasei
Blautia hansenii
Blautia luti
Blautia producta
Blautia schinkii
Blautia sp. M25
Blautia stercoris
Blautia wexlerae
Bryantella formatexigens
Clostridium coccoides
Eubacterium cellulosolvens
Ruminococcus hansenii
Ruminococcus obeum
Ruminococcus sp.
Ruminococcus sp. K_1
Syntrophococcus sucromutans
Bacillus alcalophilus
Bacillus clausii
Bacillus gelatini
Bacillus halodurans
Bacillus sp. oral taxon F26
Clostridium innocuum
Clostridium sp. HGF2
Clostridium perfringens
Sarcina ventriculi
Clostridium bartlettii
Clostridium bifermentans
Clostridium ghonii
Clostridium glycolicum
Clostridium mayombei
Clostridium sordellii
Clostridium sp. MT4 E
Eubacterium tenue
Clostridium argentinense
Clostridium sp. JC122
Clostridium sp. NMBHI_1
Clostridium subterminale
Clostridium sulfidigenes
Dorea formicigenerans
Dorea longicatena
Ruminococcus gnavus
Ruminococcus sp. ID8
Blautia hydrogenotrophica
Lactonifactor longoviformis
Robinsoniella peoriensis
Eubacterium infirmum
Eubacterium sp. WAL 14571
Eubacterium biforme
Eubacterium cylindroides
Eubacterium dolichum
Eubacterium sp. 3_1_31
Eubacterium tortuosum
Bulleidia extructa
Solobacterium moorei
Coprococcus catus
Clostridium cochlearium
Clostridium malenominatum
Clostridium tetani
Acetivibrio ethanolgignens
Anaerosporobacter mobilis
Bacteroides pectinophilus
Clostridium aminovalericum
Clostridium phytofermentans
Eubacterium hallii
Eubacterium xylanophilum
Ruminococcus callidus
Ruminococcus
champanellensis
Ruminococcus sp. 18P13
Ruminococcus sp. 9SE51
Anaerostipes caccae
Anaerostipes sp. 3_2_56FAA
Clostridium aerotolerans
Clostridium aldenense
Clostridium algidixylanolyticum
Clostridium amygdalinum
Clostridium asparagiforme
Clostridium bolteae
Clostridium celerecrescens
Clostridium citroniae
Clostridium clostridiiformes
Clostridium clostridioforme
Clostridium hathewayi
Clostridium indolis
Clostridium lavalense
Clostridium saccharolyticum
Clostridium sp. M62_1
Clostridium sp. SS2_1
Clostridium sphenoides
Clostridium symbiosum
Clostridium xylanolyticum
Eubacterium hadrum
Clostridium difficile
Eubacterium sp. AS15b
Eubacterium sp. OBRC9
Eubacterium sp. oral clone
Eubacterium yurii
Clostridium acetobutylicum
Clostridium algidicarnis
Clostridium cadaveris
Clostridium carboxidivorans
Clostridium estertheticum
Clostridium fallax
Clostridium felsineum
Clostridium frigidicarnis
Clostridium kluyveri
Clostridium magnum
Clostridium putrefaciens
Clostridium sp. HPB_46
Clostridium tyrobutyricum
Sutterella parvirubra
Acetanaerobacterium
elongatum
Clostridium cellulosi
Ethanoligenens harbinense
Eubacterium rectale
Eubacterium sp. oral clone
Lachnobacterium bovis
Roseburia cecicola
Roseburia faecalis
Roseburia faecis
Roseburia hominis
Roseburia intestinalis
Roseburia inulinivorans
Brevibacillus brevis
Brevibacillus laterosporus
Bacillus coagulans
Sporolactobacillus inulinus
Kocuria palustris
Nocardia farcinica
Bacillus sp. oral taxon F28
Catenibacterium mitsuokai
Clostridium sp. TM_40
Coprobacillus cateniformis
Coprobacillus sp. 29_1
Clostridium rectum
Eubacterium nodatum
Eubacterium saphenum
Eubacterium sp. oral clone
Eubacterium sp. oral clone
Faecalibacterium prausnitzii
Gemmiger formicilis
Subdoligranulum variabile
Clostridium sp. MLG055
Clostridium cocleatum
Clostridium ramosum
Clostridium saccharogumia
Clostridium spiroforme
Coprobacillus sp. D7
Clostridium sp. SY8519
Eubacterium ramulus
Erysipelothrix inopinata
Erysipelothrix rhusiopathiae
Erysipelothrix tonsillarum
Holdemania filiformis
Mollicutes bacterium pACH93
Coxiella burnetii
Clostridium hiranonis
Clostridium irregulare
Clostridium orbiscindens
Clostridium sp. NML 04A032
Flavonifractor plautii
Pseudoflavonifractor capillosus
Acetivibrio cellulolyticus
Clostridium aldrichii
Clostridium clariflavum
Clostridium stercorarium
Clostridium straminisolvens
Clostridium thermocellum
Fusobacterium nucleatum
Eubacterium barkeri
Eubacterium callanderi
Eubacterium limosum
Anaerotruncus colihominis
Clostridium methylpentosum
Clostridium sp. YIT 12070
saccharovorans
Ruminococcus albus
Ruminococcus flavefaciens
Clostridium haemolyticum
Clostridium novyi
Clostridium sp. LMG 16094
Eubacterium ventriosum
Bacteroides galacturonicus
Eubacterium eligens
Lachnospira multipara
Lachnospira pectinoschiza
Lactobacillus rogosae
Bacillus horti
Bacillus sp. 9_3AIA
Eubacterium brachy
Filifactor alocis
Filifactor villosus
Clostridium leptum
Clostridium sp. YIT 12069
Clostridium sporosphaeroides
Eubacterium
coprostanoligenes
Ruminococcus bromii
Eubacterium siraeum
Clostridium viride
Oscillibacter sp. G2
Oscillibacter valericigenes
Oscillospira guilliermondii
Butyrivibrio crossotus
Clostridium sp. L2_50
Coprococcus eutactus
Coprococcus sp. ART55_1
Eubacterium ruminantium
Collinsella aerofaciens
Alkaliphilus metalliredigenes
Alkaliphilus oremlandii
Clostridium sticklandii
Turicibacter sanguinis
Fulvimonas sp. NML 060897
Desulfitobacterium frappieri
Desulfitobacterium hafniense
Desulfotomaculum nigrificans
Lutispora thermophila
Brachyspira pilosicoli
Eggerthella lenta
Streptomyces albus
Anaerofustis stercorihominis
Butyricicoccus pullicaecorum
Eubacterium desmolans
Papillibacter cinnamivorans
Sporobacter termitidis
Deferribacteres sp. oral clone
Clostridium colinum
Clostridium lactatifermentans
Clostridium piliforme
Saccharomonospora viridis
Thermobifida fusca
Leptospira licerasiae
Moorella thermoacetica
Thermoanaerobacter
pseudethanolicus
Flexistipes sinusarabici
Gloeobacter violaceus
Eubacterium sp. oral clone
Clostridium oroticum
Clostridium sp. D5
Eubacterium contortum
Eubacterium fissicatena
Corynebacterium coyleae
Corynebacterium mucifaciens
Corynebacterium
ureicelerivorans
Corynebacterium appendicis
Corynebacterium genitalium
Corynebacterium glaucum
Corynebacterium imitans
Corynebacterium riegelii
Corynebacterium sp.
Corynebacterium sp. NML
Corynebacterium
sundsvallense
Corynebacterium tuscaniae
Prevotella maculosa
Prevotella oris
Prevotella salivae
Prevotella sp. ICM55
Prevotella sp. oral clone
Prevotella sp. oral clone GI032
Prevotella sp. oral taxon G70
Prevotella corporis
Bacteroides sp. 4_1_36
Bacteroides sp. AR20
Bacteroides sp. D20
Bacteroides sp. F_4
Bacteroides uniformis
Prevotella nanceiensis
Prevotella sp. oral taxon 299
Prevotella bergensis
Prevotella buccalis
Prevotella timonensis
Prevotella oralis
Prevotella sp. SEQ072
Leuconostoc carnosum
Leuconostoc gasicomitatum
Leuconostoc inhae
Leuconostoc kimchii
Edwardsiella tarda
Photorhabdus asymbiotica
Psychrobacter arcticus
Psychrobacter cibarius
Psychrobacter cryohalolentis
Psychrobacter faecalis
Psychrobacter nivimaris
Psychrobacter pulmonis
Pseudomonas aeruginosa
Pseudomonas sp. 2_1_26
Corynebacterium confusum
Corynebacterium propinquum
Corynebacterium
pseudodiphtheriticum
Bartonella bacilliformis
Bartonella grahamii
Bartonella henselae
Bartonella quintana
Bartonella tamiae
Bartonella washoensis
Brucella abortus
Brucella canis
Brucella ceti
Brucella melitensis
Brucella microti
Brucella ovis
Brucella sp. 83_13
Brucella sp. BO1
Brucella suis
Ochrobactrum anthropi
Ochrobactrum intermedium
Ochrobactrum
pseudintermedium
Prevotella genomosp. C2
Prevotella multisaccharivorax
Prevotella sp. oral clone
Prevotella sp. oral taxon 292
Prevotella sp. oral taxon 300
Prevotella marshii
Prevotella sp. oral clone IK053
Prevotella sp. oral taxon 781
Prevotella stercorea
Prevotella brevis
Prevotella ruminicola
Prevotella sp. sp24
Prevotella sp. sp34
Prevotella albensis
Prevotella copri
Prevotella oulorum
Prevotella sp. BI_42
Prevotella sp. oral clone
Prevotella sp. oral taxon G60
Prevotella amnii
Bacteroides caccae
Bacteroides finegoldii
Bacteroides intestinalis
Bacteroides sp. XB44A
Bifidobacterium adolescentis
Bifidobacterium angulatum
Bifidobacterium animalis
Bifidobacterium breve
Bifidobacterium catenulatum
Bifidobacterium dentium
Bifidobacterium gallicum
Bifidobacterium infantis
Bifidobacterium
kashiwanohense
Bifidobacterium longum
Bifidobacterium
pseudocatenulatum
Bifidobacterium pseudolongum
Bifidobacterium scardovii
Bifidobacterium sp. HM2
Bifidobacterium sp. HMLN12
Bifidobacterium sp. M45
Bifidobacterium sp. MSX5B
Bifidobacterium sp. TM_7
Bifidobacterium thermophilum
Leuconostoc citreum
Leuconostoc lactis
Alicyclobacillus acidoterrestris
Alicyclobacillus
cycloheptanicus
Acinetobacter baumannii
Acinetobacter calcoaceticus
Acinetobacter genomosp. C1
Acinetobacter haemolyticus
Acinetobacter johnsonii
Acinetobacter junii
Acinetobacter lwoffii
Acinetobacter parvus
Acinetobacter schindleri
Acinetobacter sp. 56A1
Acinetobacter sp. CIP 101934
Acinetobacter sp. CIP 102143
Acinetobacter sp. M16_22
Acinetobacter sp. RUH2624
Acinetobacter sp. SH024
Lactobacillus jensenii
Alcaligenes faecalis
Alcaligenes sp. CO14
Alcaligenes sp. S3
Oligella ureolytica
Oligella urethralis
Eikenella corrodens
Kingella denitrificans
Kingella genomosp. P1 oral
Kingella kingae
Kingella oralis
Kingella sp. oral clone ID059
Neisseria elongata
Neisseria genomosp. P2 oral
Neisseria sp. oral clone JC012
Neisseria sp. SMC_A9199
Simonsiella muelleri
Corynebacterium
glucuronolyticum
Corynebacterium
pyruviciproducens
Rothia aeria
Rothia dentocariosa
Rothia sp. oral taxon 188
Corynebacterium accolens
Corynebacterium macginleyi
Corynebacterium
pseudogenitalium
Corynebacterium
tuberculostearicum
Lactobacillus casei
Lactobacillus paracasei
Lactobacillus zeae
Prevotella dentalis
Prevotella sp. oral clone
Prevotella sp. oral clone
Prevotella sp. oral clone ID019
Prevotella sp. oral clone IK062
Prevotella genomosp. P9 oral
Prevotella sp. oral clone
Prevotella sp. oral clone
Prevotella sp. oral clone FL019
Actinomyces genomosp. C1
Actinomyces genomosp. C2
Actinomyces genomosp. P1
Actinomyces georgiae
Actinomyces israelii
Actinomyces massiliensis
Actinomyces meyeri
Actinomyces odontolyticus
Actinomyces orihominis
Actinomyces sp. CCUG 37290
Actinomyces sp. ICM34
Actinomyces sp. ICM41
Actinomyces sp. ICM47
Actinomyces sp. ICM54
Actinomyces sp. oral clone
Actinomyces sp. oral taxon
Actinomyces sp. oral taxon
Actinomyces sp. TeJ5
Haematobacter sp. BC14248
Paracoccus denitrificans
Paracoccus marcusii
Grimontia hollisae
Shewanella putrefaciens
Afipia genomosp. 4
Rhodopseudomonas palustris
Methylobacterium extorquens
Methylobacterium podarium
Methylobacterium
radiotolerans
Methylobacterium sp. 1sub
Methylobacterium sp. MM4
Achromobacter denitrificans
Achromobacter piechaudii
Achromobacter xylosoxidans
Bordetella bronchiseptica
Bordetella holmesii
Bordetella parapertussis
Bordetella pertussis
Microbacterium chocolatum
Microbacterium flavescens
Microbacterium lacticum
Microbacterium oleivorans
Microbacterium oxydans
Microbacterium paraoxydans
Microbacterium
phyllosphaerae
Microbacterium schleiferi
Microbacterium sp. 768
Microbacterium sp. oral strain
Microbacterium testaceum
Corynebacterium atypicum
Corynebacterium mastitidis
Corynebacterium sp. NML
Mycobacterium elephantis
Mycobacterium paraterrae
Mycobacterium phlei
Mycobacterium sp. 1776
Mycobacterium sp. 1781
Mycobacterium sp. AQ1GA4
Mycobacterium sp. GN_10546
Mycobacterium sp. GN_10827
Mycobacterium sp. GN_11124
Mycobacterium sp. GN_9188
Mycobacterium sp.
Anoxybacillus contaminans
Bacillus aeolius
Brevibacterium frigoritolerans
Geobacillus sp. E263
Geobacillus sp. WCH70
Geobacillus thermocatenulatus
Geobacillus thermoleovorans
Lysinibacillus fusiformis
Planomicrobium koreense
Sporosarcina newyorkensis
Sporosarcina sp. 2681
Ureibacillus composti
Ureibacillus suwonensis
Ureibacillus terrenus
Ureibacillus thermophilus
Ureibacillus thermosphaericus
Prevotella micans
Prevotella sp. oral clone
Prevotella sp. SEQ053
Treponema socranskii
Treponema sp. 6:H:D15A_4
Treponema sp. oral taxon 265
Treponema sp. oral taxon G85
Porphyromonas endodontalis
Porphyromonas sp. oral clone
Porphyromonas sp. oral clone
Porphyromonas sp. oral clone
Porphyromonas sp. oral clone
Acidovorax sp. 98_63833
Comamonas sp. NSP5
Delftia acidovorans
Xenophilus aerolatus
Oribacterium sp. oral taxon
Oribacterium sp. oral taxon
Weissella cibaria
Weissella confusa
Weissella hellenica
Weissella kandleri
Weissella koreensis
Weissella paramesenteroides
Weissella sp. KLDS 7.0701
Mobiluncus curtisii
Enhydrobacter aerosaccus
Moraxella osloensis
Moraxella sp. GM2
Brevibacterium casei
Brevibacterium epidermidis
Brevibacterium sanguinis
Brevibacterium sp. H15
Acinetobacter radioresistens
Lactobacillus alimentarius
Lactobacillus farciminis
Lactobacillus kimchii
Lactobacillus nodensis
Lactobacillus tucceti
Pseudomonas mendocina
Pseudomonas
pseudoalcaligenes
Pseudomonas sp. NP522b
Pseudomonas stutzeri
Paenibacillus barcinonensis
Paenibacillus barengoltzii
Paenibacillus chibensis
Paenibacillus cookii
Paenibacillus durus
Paenibacillus glucanolyticus
Paenibacillus lactis
Paenibacillus pabuli
Paenibacillus popilliae
Paenibacillus sp. CIP 101062
Paenibacillus sp. JC66
Paenibacillus sp. R_27413
Paenibacillus sp. R_27422
Paenibacillus timonensis
Rothia mucilaginosa
Rothia nasimurium
Prevotella sp. oral taxon 302
Prevotella sp. oral taxon F68
Prevotella tannerae
Porphyromonas
asaccharolytica
Porphyromonas gingivalis
Porphyromonas macacae
Porphyromonas sp. UQD 301
Porphyromonas uenonis
Leptotrichia buccalis
Leptotrichia hofstadii
Leptotrichia sp. oral clone
Leptotrichia sp. oral taxon 223
Bacteroides fluxus
Bacteroides helcogenes
Parabacteroides johnsonii
Parabacteroides merdae
Treponema denticola
Treponema genomosp. P5 oral
Treponema putidum
Treponema sp. oral clone
Treponema sp. oral taxon 247
Treponema sp. oral taxon 250
Treponema sp. oral taxon 251
Anaerococcus hydrogenalis
Anaerococcus sp. 8404299
Anaerococcus sp. gpac215
Anaerococcus vaginalis
Propionibacterium
acidipropionici
Propionibacterium avidum
Propionibacterium granulosum
Propionibacterium jensenii
Propionibacterium propionicum
Propionibacterium sp. H456
Propionibacterium thoenii
Bifidobacterium bifidum
Leuconostoc mesenteroides
Leuconostoc
pseudomesenteroides
Johnsonella ignava
Propionibacterium acnes
Propionibacterium sp.
Propionibacterium sp. LG
Propionibacterium sp. S555a
Alicyclobacillus sp. CCUG
Actinomyces cardiffensis
Actinomyces funkei
Actinomyces sp. HKU31
Actinomyces sp. oral taxon
Kerstersia gyiorum
Pigmentiphaga daeguensis
Aeromonas allosaccharophila
Aeromonas enteropelogenes
Aeromonas hydrophila
Aeromonas jandaei
Aeromonas salmonicida
Aeromonas trota
Aeromonas veronii
Marvinbryantia formatexigens
Rhodobacter sp. oral taxon
Rhodobacter sphaeroides
Lactobacillus antri
Lactobacillus coleohominis
Lactobacillus fermentum
Lactobacillus gastricus
Lactobacillus mucosae
Lactobacillus oris
Lactobacillus pontis
Lactobacillus reuteri
Lactobacillus sp. KLDS 1.0707
Lactobacillus sp. KLDS 1.0709
Lactobacillus sp. KLDS 1.0711
Lactobacillus sp. KLDS 1.0713
Lactobacillus sp. KLDS 1.0716
Lactobacillus sp. KLDS 1.0718
Lactobacillus sp. oral taxon
Lactobacillus vaginalis
Brevibacterium aurantiacum
Brevibacterium linens
Lactobacillus pentosus
Lactobacillus plantarum
Lactobacillus sp. KLDS 1.0702
Lactobacillus sp. KLDS 1.0703
Lactobacillus sp. KLDS 1.0704
Lactobacillus sp. KLDS 1.0705
Agrobacterium radiobacter
Agrobacterium tumefaciens
Corynebacterium
argentoratense
Corynebacterium diphtheriae
Corynebacterium
pseudotuberculosis
Corynebacterium renale
Corynebacterium ulcerans
Aurantimonas coralicida
Aureimonas altamirensis
Lactobacillus acidipiscis
Lactobacillus salivarius
Lactobacillus sp. KLDS 1.0719
Lactobacillus buchneri
Lactobacillus genomosp. C1
Lactobacillus genomosp. C2
Lactobacillus hilgardii
Lactobacillus kefiri
Lactobacillus parabuchneri
Lactobacillus parakefiri
Lactobacillus curvatus
Lactobacillus sakei
Aneurinibacillus aneurinilyticus
Aneurinibacillus danicus
Aneurinibacillus migulanus
Aneurinibacillus terranovensis
Staphylococcus aureus
Staphylococcus auricularis
Staphylococcus capitis
Staphylococcus caprae
Staphylococcus carnosus
Staphylococcus cohnii
Staphylococcus condimenti
Staphylococcus epidermidis
Staphylococcus equorum
Staphylococcus haemolyticus
Staphylococcus hominis
Staphylococcus lugdunensis
Staphylococcus pasteuri
Staphylococcus
pseudintermedius
Staphylococcus
saccharolyticus
Staphylococcus saprophyticus
Staphylococcus sp. clone
Staphylococcus sp. H292
Staphylococcus sp. H780
Staphylococcus succinus
Staphylococcus warneri
Staphylococcus xylosus
Cardiobacterium hominis
Cardiobacterium valvarum
Pseudomonas fluorescens
Pseudomonas gessardii
Pseudomonas monteilii
Pseudomonas poae
Pseudomonas putida
Pseudomonas sp. G1229
Pseudomonas tolaasii
Pseudomonas viridiflava
Listeria grayi
Listeria innocua
Listeria ivanovii
Listeria monocytogenes
Listeria welshimeri
Capnocytophaga sp. oral clone
Capnocytophaga sputigena
Leptotrichia genomosp. C1
Leptotrichia shahii
Leptotrichia sp.
Leptotrichia sp. oral clone
Leptotrichia sp. oral clone
Bacteroides sp. 20_3
Bacteroides sp. 3_1_19
Bacteroides sp. 3_2_5
Parabacteroides distasonis
Parabacteroides goldsteinii
Parabacteroides gordonii
Parabacteroides sp. D13
Capnocytophaga genomosp.
Capnocytophaga ochracea
Capnocytophaga sp. GEJ8
Capnocytophaga sp. oral strain
Capnocytophaga sp. S1b
Paraprevotella clara
Bacteroides heparinolyticus
Prevotella heparinolytica
Treponema genomosp. P4 oral
Treponema genomosp. P6 oral
Treponema sp. oral taxon 254
Treponema sp. oral taxon 508
Treponema sp. oral taxon 518
Chlamydia muridarum
Chlamydia trachomatis
Chlamydia psittaci
Chlamydophila pneumoniae
Chlamydophila psittaci
Anaerococcus octavius
Anaerococcus sp. 8405254
Anaerococcus sp. 9401487
Anaerococcus sp. 9403502
Gardnerella vaginalis
Campylobacter lari
Anaerobiospirillum
succiniciproducens
Anaerobiospirillum thomasii
Ruminobacter amylophilus
Succinatimonas hippei
Actinomyces europaeus
Actinomyces sp. oral clone
Moraxella catarrhalis
Moraxella lincolnii
Moraxella sp. 16285
Psychrobacter sp. 13983
Actinobaculum massiliae
Actinobaculum schaalii
Actinobaculum sp. BM#101342
Actinobaculum sp. P2P_19 P1
Actinomyces sp. oral clone
Actinomyces sp. oral taxon
Actinomyces neuii
Mobiluncus mulieris
Blastomonas natatoria
Novosphingobium
aromaticivorans
Sphingomonas sp. oral clone
Sphingopyxis alaskensis
Oxalobacter formigenes
Veillonella atypica
Veillonella dispar
Veillonella genomosp. P1 oral
Veillonella parvula
Veillonella sp. 3_1_44
Veillonella sp. 6_1_27
Veillonella sp. ACP1
Veillonella sp. AS16
Veillonella sp. BS32b
Veillonella sp. ICM51a
Veillonella sp. MSA12
Veillonella sp. NVG 100cf
Veillonella sp. OK11
Veillonella sp. oral clone
Veillonella sp. oral clone
Veillonella sp. oral clone OH1A
Veillonella sp. oral taxon 158
Kocuria marina
Kocuria rhizophila
Kocuria rosea
Kocuria varians
Micrococcus antarcticus
Micrococcus luteus
Micrococcus lylae
Micrococcus sp. 185
Lactobacillus brevis
Lactobacillus parabrevis
Pediococcus acidilactici
Pediococcus pentosaceus
Lactobacillus dextrinicus
Lactobacillus perolens
Lactobacillus rhamnosus
Lactobacillus saniviri
Lactobacillus sp. BT6
Mycobacterium mageritense
Mycobacterium neoaurum
Mycobacterium smegmatis
Mycobacterium sp. HE5
Dysgonomonas gadei
Dysgonomonas mossii
Porphyromonas levii
Porphyromonas somerae
Bacteroides barnesiae
Bacteroides coprocola
Bacteroides coprophilus
Bacteroides dorei
Bacteroides massiliensis
Bacteroides plebeius
Bacteroides sp. 3_1_33FAA
Bacteroides sp. 3_1_40A
Bacteroides sp. 4_3_47FAA
Bacteroides sp. 9_1_42FAA
Bacteroides sp. NB_8
Bacteroides vulgatus
Bacteroides ovatus
Bacteroides sp. 1_1_30
Bacteroides sp. 2_1_22
Bacteroides sp. 2_2_4
Bacteroides sp. 3_1_23
Bacteroides sp. D1
Bacteroides sp. D2
Bacteroides sp. D22
Bacteroides xylanisolvens
Treponema lecithinolyticum
Treponema parvum
Treponema sp. oral clone
Treponema sp. oral taxon 270
Parascardovia denticolens
Scardovia inopinata
Scardovia wiggsiae
Mogibacterium diversum
Mogibacterium neglectum
Mogibacterium pumilum
Mogibacterium timidum
Borrelia burgdorferi
Borrelia garinii
Borrelia sp. NE49
Caldimonas manganoxidans
Lautropia mirabilis
Lautropia sp. oral clone AP009
Peptoniphilus asaccharolyticus
Peptoniphilus duerdenii
Peptoniphilus harei
Peptoniphilus indolicus
Peptoniphilus lacrimalis
Peptoniphilus sp. gpac077
Peptoniphilus sp. JC140
Peptoniphilus sp. oral taxon
Peptoniphilus sp. oral taxon
Dialister pneumosintes
Dialister sp. oral taxon 502
Cupriavidus metallidurans
Herbaspirillum seropedicae
Herbaspirillum sp. JC206
Janthinobacterium sp. SY12
Massilia sp. CCUG 43427A
Ralstonia pickettii
Ralstonia sp. 5_7_47FAA
Francisella novicida
Francisella philomiragia
Francisella tularensis
Ignatzschineria indica
Ignatzschineria sp. NML
Streptococcus mutans
Lactobacillus gasseri
Lactobacillus hominis
Lactobacillus iners
Lactobacillus johnsonii
Lactobacillus senioris
Lactobacillus sp. oral clone
Weissella beninensis
Sphingomonas echinoides
Sphingomonas sp. oral taxon
Sphingomonas sp. oral taxon
Zymomonas mobilis
Arcanobacterium
haemolyticum
Arcanobacterium pyogenes
Trueperella pyogenes
Lactococcus garvieae
Lactococcus lactis
Brevibacterium mcbrellneri
Brevibacterium paucivorans
Brevibacterium sp. JC43
Selenomonas artemidis
Selenomonas sp. FOBRC9
Selenomonas sp. oral taxon
Desmospora activa
Desmospora sp. 8437
Paenibacillus sp. oral taxon
Corynebacterium
ammoniagenes
Corynebacterium
aurimucosum
Corynebacterium bovis
Corynebacterium canis
Corynebacterium casei
Corynebacterium durum
Corynebacterium efficiens
Corynebacterium falsenii
Corynebacterium flavescens
Corynebacterium glutamicum
Corynebacterium jeikeium
Corynebacterium
kroppenstedtii
Corynebacterium
lipophiloflavum
Corynebacterium matruchotii
Corynebacterium
minutissimum
Corynebacterium resistens
Corynebacterium simulans
Corynebacterium singulare
Corynebacterium sp. 1 ex
Corynebacterium sp. NML
Corynebacterium striatum
Corynebacterium urealyticum
Corynebacterium variabile
Aerococcus sanguinicola
Aerococcus urinae
Aerococcus urinaeequi
Aerococcus viridans
Fusobacterium naviforme
Moryella indoligenes
Selenomonas genomosp. P5
Selenomonas sp. oral clone
Selenomonas sputigena
Hyphomicrobium sulfonivorans
Methylocella silvestris
Legionella pneumophila
Lactobacillus coryniformis
Arthrobacter agilis
Arthrobacter arilaitensis
Arthrobacter bergerei
Arthrobacter globiformis
Arthrobacter nicotianae
Mycobacterium abscessus
Mycobacterium chelonae
Bacteroides salanitronis
Paraprevotella xylaniphila
Barnesiella intestinihominis
Barnesiella viscericola
Parabacteroides sp. NS31_3
Tannerella forsythia
Tannerella sp.
Mycoplasma amphoriforme
Mycoplasma genitalium
Mycoplasma pneumoniae
Mycoplasma penetrans
Ureaplasma parvum
Ureaplasma urealyticum
Treponema genomosp. P1
Treponema sp. oral taxon 228
Treponema sp. oral taxon 230
Treponema sp. oral taxon 231
Treponema sp. oral taxon 232
Treponema sp. oral taxon 235
Treponema sp. ovine footrot
Treponema vincentii
Parasutterella
excrementihominis
Parasutterella secunda
Sutterella morbirenis
Sutterella sanguinus
Sutterella sp. YIT 12072
Sutterella stercoricanis
Sutterella wadsworthensis
Propionibacterium
freudenreichii
Propionibacterium sp. oral
Tessaracoccus sp. oral taxon
Peptoniphilus ivorii
Peptoniphilus sp. gpac007
Peptoniphilus sp. gpac018A
Peptoniphilus sp. gpac148
Flexispira rappini
Helicobacter bilis
Helicobacter cinaedi
Helicobacter sp. None
Brevundimonas subvibrioides
Hyphomonas neptunium
Phenylobacterium zucineum
Streptococcus downei
Streptococcus sp. SHV515
Acinetobacter sp. CIP 53.82
Halomonas elongata
Halomonas johnsoniae
Butyrivibrio fibrisolvens
Roseburia sp. 11SE37
Roseburia sp. 11SE38
Shuttleworthia satelles
Shuttleworthia sp. MSX8B
Shuttleworthia sp. oral taxon
Bdellovibrio sp. MPA
Desulfobulbus sp. oral clone
Desulfovibrio desulfuricans
Desulfovibrio fairfieldensis
Desulfovibrio piger
Desulfovibrio sp. 3_1_syn3
Geobacter bemidjiensis
Brachybacterium alimentarium
Brachybacterium
conglomeratum
Brachybacterium
tyrofermentans
Dermabacter hominis
Aneurinibacillus
thermoaerophilus
Brevibacillus agri
Brevibacillus centrosporus
Brevibacillus choshinensis
Brevibacillus invocatus
Brevibacillus parabrevis
Brevibacillus reuszeri
Brevibacillus sp. phR
Brevibacillus thermoruber
Lactobacillus murinus
Lactobacillus oeni
Lactobacillus ruminis
Lactobacillus vini
Gemella haemolysans
Gemella morbillorum
Gemella morbillorum
Gemella sanguinis
Gemella sp. oral clone
ASCE02
Gemella sp. oral clone
Gemella sp. oral clone
Gemella sp. WAL 1945J
Sporolactobacillus nakayamae
Gluconacetobacter entanii
Gluconacetobacter europaeus
Gluconacetobacter hansenii
Gluconacetobacter oboediens
Gluconacetobacter xylinus
Auritibacter ignavus
Dermacoccus sp. Ellin185
Janibacter limosus
Janibacter melonis
Acetobacter aceti
Acetobacter fabarum
Acetobacter lovaniensis
Acetobacter malorum
Acetobacter orientalis
Acetobacter pasteurianus
Acetobacter pomorum
Acetobacter syzygii
Acetobacter tropicalis
Gluconacetobacter
azotocaptans
Gluconacetobacter
diazotrophicus
Gluconacetobacter johannae
Nocardia brasiliensis
Nocardia cyriacigeorgica
Nocardia puris
Nocardia sp. 01_Je_025
Rhodococcus equi
Oceanobacillus caeni
Oceanobacillus sp. Ndiop
Ornithinibacillus bavariensis
Ornithinibacillus sp. 7_10AIA
Virgibacillus proomii
Corynebacterium amycolatum
Corynebacterium hansenii
Corynebacterium xerosis
Staphylococcus fleurettii
Staphylococcus sciuri
Staphylococcus vitulinus
Stenotrophomonas maltophilia
Stenotrophomonas sp. FG_6
Mycobacterium africanum
Mycobacterium alsiensis
Mycobacterium avium
Mycobacterium colombiense
Mycobacterium gordonae
Mycobacterium intracellulare
Mycobacterium kansasii
Mycobacterium lacus
Mycobacterium leprae
Mycobacterium lepromatosis
Mycobacterium mantenii
Mycobacterium marinum
Mycobacterium microti
Mycobacterium
parascrofulaceum
Mycobacterium seoulense
Mycobacterium sp. 1761
Mycobacterium sp. 1791
Mycobacterium sp. 1797
Mycobacterium sp.
Mycobacterium sp.
Mycobacterium sp. W
Mycobacterium tuberculosis
Mycobacterium ulcerans
Mycobacterium vulneris
Xanthomonas campestris
Xanthomonas sp. kmd_489
Dietzia natronolimnaea
Dietzia sp. BBDP51
Dietzia sp. CA149
Dietzia timorensis
Gordonia bronchialis
Gordonia polyisoprenivorans
Gordonia sp. KTR9
Gordonia sputi
Gordonia terrae
Leptotrichia goodfellowii
Leptotrichia sp. oral clone
Leptotrichia sp. oral clone
Butyricimonas virosa
Odoribacter laneus
Odoribacter splanchnicus
Capnocytophaga gingivalis
Capnocytophaga granulosa
Capnocytophaga sp. oral clone
Capnocytophaga sp. oral strain
Capnocytophaga sp. oral taxon
Capnocytophaga canimorsus
Capnocytophaga sp. oral clone
Lactobacillus catenaformis
Lactobacillus vitulinus
Cetobacterium somerae
Fusobacterium gonidiaformans
Fusobacterium mortiferum
Fusobacterium necrogenes
Fusobacterium necrophorum
Fusobacterium sp. 12_1B
Fusobacterium sp. 3_1_5R
Fusobacterium sp. D12
Fusobacterium ulcerans
Fusobacterium varium
Mycoplasma arthritidis
Mycoplasma faucium
Mycoplasma hominis
Mycoplasma orale
Mycoplasma salivarium
Mitsuokella jalaludinii
Mitsuokella multacida
Mitsuokella sp. oral taxon 521
Mitsuokella sp. oral taxon G68
Selenomonas genomosp. C1
Selenomonas genomosp. P8
Selenomonas ruminantium
Alloscardovia omnicolens
Alloscardovia sp. OB7196
Bifidobacterium urinalis
Prevotella loescheii
Prevotella sp. oral clone
Prevotella sp. oral clone
Prevotella sp. oral taxon 472
Selenomonas dianae
Selenomonas flueggei
Selenomonas genomosp. C2
Selenomonas genomosp. P6
Selenomonas genomosp. P7
Selenomonas infelix
Selenomonas noxia
Selenomonas sp. oral clone
Selenomonas sp. oral clone
Selenomonas sp. oral clone
Selenomonas sp. oral clone
Selenomonas sp. oral clone
Selenomonas sp. oral clone
Selenomonas sp. oral clone
Selenomonas sp. oral clone
Selenomonas sp. oral clone
Selenomonas sp. oral taxon
Agrococcus jenensis
Microbacterium gubbeenense
Pseudoclavibacter sp. Timone
Tropheryma whipplei
Zimmermannella bifida
Legionella hackeliae
Legionella longbeachae
Legionella sp. D3923
Legionella sp. D4088
Legionella sp. H63
Legionella sp. NML 93L054
Legionella steelei
Tatlockia micdadei
Helicobacter pullorum
Roseomonas cervicalis
Roseomonas mucosa
Roseomonas sp. NML94_0193
Roseomonas sp. NML97_0121
Roseomonas sp. NML98_0009
Roseomonas sp. NML98_0157
Rickettsia akari
Rickettsia conorii
Rickettsia prowazekii
Rickettsia rickettsii
Rickettsia slovaca
Rickettsia typhi
Anaeroglobus geminatus
Megasphaera genomosp. C1
Megasphaera micronuciformis
BVAB3
Tsukamurella paurometabola
Tsukamurella tyrosinosolvens
Abiotrophia para_adiacens
Carnobacterium divergens
Carnobacterium
maltaromaticum
Enterococcus avium
Enterococcus caccae
Enterococcus casseliflavus
Enterococcus durans
Enterococcus faecalis
Enterococcus faecium
Enterococcus gallinarum
Enterococcus gilvus
Enterococcus hawaiiensis
Enterococcus hirae
Enterococcus italicus
Enterococcus mundtii
Enterococcus raffinosus
Enterococcus sp. BV2CASA2
Enterococcus sp. CCRI_16620
Enterococcus sp. F95
Enterococcus sp. RfL6
Enterococcus thailandicus
Fusobacterium canifelinum
Fusobacterium genomosp. C1
Fusobacterium genomosp. C2
Fusobacterium periodonticum
Fusobacterium sp. 1_1_41FAA
Fusobacterium sp. 11_3_2
Fusobacterium sp. 2_1_31
Fusobacterium sp. 3_1_27
Fusobacterium sp. 3_1_33
Fusobacterium sp. 3_1_36A2
Fusobacterium sp. AC18
Fusobacterium sp. ACB2
Fusobacterium sp. AS2
Fusobacterium sp. CM1
Fusobacterium sp. CM21
Fusobacterium sp. CM22
Fusobacterium sp. oral clone
Fusobacterium sp. oral clone
Granulicatella adiacens
Granulicatella elegans
Granulicatella paradiacens
Granulicatella sp. oral clone
Granulicatella sp. oral clone
Granulicatella sp. oral clone
Granulicatella sp. oral clone
Tetragenococcus halophilus
Tetragenococcus koreensis
Vagococcus fluvialis
Chryseobacterium anthropi
Chryseobacterium gleum
Chryseobacterium hominis
Treponema refringens
Treponema sp. oral clone
Treponema sp. oral taxon 239
Treponema sp. oral taxon 271
Alistipes finegoldii
Alistipes onderdonkii
Alistipes putredinis
Alistipes shahii
Alistipes sp. HGB5
Alistipes sp. JC50
Alistipes sp. RMA 9912
Mycoplasma agalactiae
Mycoplasma bovoculi
Mycoplasma fermentans
Mycoplasma flocculare
Mycoplasma ovipneumoniae
Arcobacter butzleri
Arcobacter cryaerophilus
Campylobacter curvus
Campylobacter rectus
Campylobacter showae
Campylobacter sp. FOBRC14
Campylobacter sp. FOBRC15
Campylobacter sp. oral clone
Campylobacter sputorum
Bacteroides ureolyticus
Campylobacter gracilis
Campylobacter hominis
Dialister invisus
Dialister micraerophilus
Dialister microaerophilus
Dialister propionicifaciens
Dialister succinatiphilus
Megasphaera elsdenii
Megasphaera genomosp.
Megasphaera sp. BLPYG_07
Megasphaera sp. UPII 199_6
Chromobacterium violaceum
Laribacter hongkongensis
Methylophilus sp. ECd5
Finegoldia magna
Parvimonas micra
Parvimonas sp. oral taxon 110
Peptostreptococcus micros
Peptostreptococcus sp. oral
Peptostreptococcus sp.
Helicobacter pylori
Anaplasma marginale
Anaplasma phagocytophilum
Ehrlichia chaffeensis
Neorickettsia risticii
Neorickettsia sennetsu
Pseudoramibacter alactolyticus
Veillonella montpellierensis
Veillonella sp. oral clone
ASCA08
Veillonella sp. oral clone
Inquilinus limosus
Sphingomonas sp. oral clone
Anaerococcus lactolyticus
Anaerococcus prevotii
Anaerococcus sp. gpac104
Anaerococcus sp. gpac126
Anaerococcus sp. gpac155
Anaerococcus sp. gpac199
Anaerococcus tetradius
Bacteroides coagulans
Peptostreptococcus sp. 9succ1
Peptostreptococcus sp. oral
Tissierella praeacuta
Helicobacter canadensis
Peptostreptococcus
anaerobius
Peptostreptococcus stomatis
Bilophila wadsworthia
Desulfovibrio vulgaris
Actinomyces nasicola
Cellulosimicrobium funkei
Lactococcus raffinolactis
Flavobacterium sp. NF2_1
Myroides odoratimimus
Myroides sp. MY15
Chlamydophila pecorum
Parachlamydia sp. UWE25
Fusobacterium russii
Streptobacillus moniliformis
Abiotrophia defectiva
Abiotrophia sp. oral clone
Catonella genomosp. P1 oral
Catonella morbi
Catonella sp. oral clone FL037
Eremococcus coleocola
Facklamia hominis
Granulicatella sp. M658_99_3
Campylobacter coli
Campylobacter concisus
Campylobacter fetus
Campylobacter jejuni
Campylobacter upsaliensis
Atopobium minutum
Atopobium parvulum
Atopobium rimae
Atopobium sp. BS2
Atopobium sp. F0209
Atopobium sp. ICM42b10
Atopobium sp. ICM57
Atopobium vaginae
Actinomyces naeslundii
Actinomyces oricola
Actinomyces oris
Actinomyces sp. 7400942
Actinomyces sp. ChDC B197
Actinomyces sp. GEJ15
Actinomyces sp. M2231_94_1
Actinomyces sp. oral clone
Actinomyces sp. oral clone
Actinomyces sp. oral clone
Actinomyces sp. oral clone
Actinomyces sp. oral taxon
Actinomyces sp. oral taxon
Actinomyces urogenitalis
Actinomyces viscosus
Orientia tsutsugamushi
Megamonas funiformis
Megamonas hypermegale
Aeromicrobium marinum
Aeromicrobium sp. JC14
Luteococcus sanguinis
Rhodococcus
corynebacterioides
Rhodococcus erythropolis
Rhodococcus fascians
Segniliparus rotundus
Segniliparus rugosus
Exiguobacterium acetylicum
Macrococcus caseolyticus
Streptomyces sp. 1 AIP_2009
Streptomyces sp. SD 524
Streptomyces sp. SD 528
Streptomyces thermoviolaceus
Borrelia afzelii
Borrelia crocidurae
Borrelia duttonii
Borrelia hermsii
Borrelia hispanica
Borrelia persica
Borrelia recurrentis
Borrelia spielmanii
Borrelia turicatae
Borrelia valaisiana
Providencia alcalifaciens
Providencia rettgeri
Providencia rustigianii
Providencia stuartii
Treponema pallidum
Treponema phagedenis
Treponema sp. clone DDKL_4
Acholeplasma laidlawii
Mycoplasma putrefaciens
Spiroplasma insolitum
Collinsella intestinalis
Collinsella stercoris
Collinsella tanakaei
Caminicella sporogenes
Acidaminococcus fermentans
Acidaminococcus intestini
Acidaminococcus sp. D21
Phascolarctobacterium
faecium
Phascolarctobacterium sp. YIT
12068
Phascolarctobacterium
succinatutens
Acidithiobacillus ferrivorans
Catabacter hongkongensis
Christensenella minuta
Heliobacterium modesticaldum
Alistipes indistinctus
Candidatus Sulcia muelleri
Cytophaga xylanolytica
Gramella forsetii
Sphingobacterium faecium
Sphingobacterium mizutaii
Sphingobacterium multivorum
Sphingobacterium spiritivorum
Jonquetella anthropi
Pyramidobacter piscolens
Synergistes genomosp. C1
Synergistes sp. RMA 14551
Candidatus Arthromitus sp.
Gracilibacter thermotolerans
Brachyspira aalborgi
Brachyspira sp. HIS3
Brachyspira sp. HIS4
Brachyspira sp. HIS5
Adlercreutzia equolifaciens
Cryptobacterium curtum
Eggerthella sinensis
Eggerthella sp. 1_3_56FAA
Eggerthella sp. HGA1
Eggerthella sp. YY7918
Gordonibacter pamelaeae
Gordonibacter pamelaeae
Slackia equolifaciens
Slackia exigua
Slackia faecicanis
Slackia heliotrinireducens
Slackia isoflavoniconvertens
Slackia piriformis
Slackia sp. NATTS
Victivallis vadensis
Streptomyces griseus
Streptomyces sp. SD 511
Streptomyces sp. SD 534
Cloacibacillus evryensis
Deferribacteres sp. oral clone
Deferribacteres sp. oral clone
Peptococcus sp. oral clone
Helicobacter winghamensis
Wolinella succinogenes
Olsenella genomosp. C1
Olsenella profusa
Olsenella sp. F0004
Olsenella sp. oral taxon 809
Olsenella uli
Nocardiopsis dassonvillei
Peptococcus niger
Peptococcus sp. oral taxon
Akkermansia muciniphila
Opitutus terrae
Leptospira borgpetersenii
Leptospira broomii
Leptospira interrogans
Methanobrevibacter
gottschalkii
Methanobrevibacter millerae
Methanobrevibacter oralis
Methanobrevibacter thaueri
Methanobrevibacter smithii
Deinococcus radiodurans
Deinococcus sp. R_43890
Thermus aquaticus
Actinomyces sp. c109
Anaerobaculum
hydrogeniformans
Microcystis aeruginosa
Prochlorococcus marinus
Methanobrevibacter
acididurans
Methanobrevibacter
arboriphilus
Methanobrevibacter curvatus
Methanobrevibacter cuticularis
Methanobrevibacter filiformis
Methanobrevibacter woesei
Roseiflexus castenholzii
Methanobrevibacter olleyae
Methanobrevibacter
ruminantium
Methanobrevibacter wolinii
Methanosphaera stadtmanae
Chloroflexi genomosp. P1
Halorubrum lipolyticum
Methanobacterium formicicum
Acidilobus saccharovorans
Hyperthermus butylicus
Ignicoccus islandicus
Metallosphaera sedula
Thermofilum pendens
Prevotella melaninogenica
Prevotella sp. ICM1
Prevotella sp. oral clone
Prevotella sp. oral clone GI030
Prevotella sp. SEQ116
Streptococcus anginosus
Streptococcus milleri
Streptococcus sp. 16362
Streptococcus sp. 69130
Streptococcus sp. AC15
Streptococcus sp. CM7
Streptococcus sp. OBRC6
Burkholderia ambifaria
Burkholderia cenocepacia
Burkholderia cepacia
Burkholderia mallei
Burkholderia multivorans
Burkholderia oklahomensis
Burkholderia pseudomallei
Burkholderia rhizoxinica
Burkholderia sp. 383
Burkholderia xenovorans
Prevotella buccae
Prevotella genomosp. P8 oral
Prevotella sp. oral clone
Prevotella bivia
Prevotella disiens
Bacteroides faecis
Bacteroides fragilis
Bacteroides nordii
Bacteroides salyersiae
Bacteroides sp. 1_1_14
Bacteroides sp. 1_1_6
Bacteroides sp. 2_1_56FAA
Bacteroides sp. AR29
Bacteroides sp. B2
Bacteroides thetaiotaomicron
Actinobacillus minor
Haemophilus parasuis
Vibrio cholerae
Vibrio fluvialis
Vibrio furnissii
Vibrio mimicus
Vibrio parahaemolyticus
Vibrio sp. RC341
Vibrio vulnificus
Lactobacillus acidophilus
Lactobacillus amylolyticus
Lactobacillus amylovorus
Lactobacillus crispatus
Lactobacillus delbrueckii
Lactobacillus helveticus
Lactobacillus kalixensis
Lactobacillus kefiranofaciens
Lactobacillus leichmannii
Lactobacillus sp. 66c
Lactobacillus sp. KLDS 1.0701
Lactobacillus sp. KLDS 1.0712
Lactobacillus sp. oral clone
Lactobacillus ultunensis
Prevotella intermedia
Prevotella nigrescens
Prevotella pallens
Prevotella sp. oral taxon 310
Prevotella genomosp. C1
Prevotella sp. CM38
Prevotella sp. oral taxon 317
Prevotella sp. SG12
Prevotella denticola
Prevotella genomosp. P7 oral
Prevotella histicola
Prevotella multiformis
Prevotella sp. JCM 6330
Prevotella sp. oral clone GI059
Prevotella sp. oral taxon 782
Prevotella sp. oral taxon G71
Prevotella sp. SEQ065
Prevotella veroralis
Bacteroides acidifaciens
Bacteroides cellulosilyticus
Bacteroides clarus
Bacteroides eggerthii
Bacteroides oleiciplenus
Bacteroides pyogenes
Bacteroides sp. 315_5
Bacteroides sp. 31SF15
Bacteroides sp. 31SF18
Bacteroides sp. 35AE31
Bacteroides sp. 35AE37
Bacteroides sp. 35BE34
Bacteroides sp. 35BE35
Bacteroides sp. WH2
Bacteroides sp. XB12B
Bacteroides stercoris
Actinobacillus
pleuropneumoniae
Actinobacillus ureae
Haemophilus aegyptius
Haemophilus ducreyi
Haemophilus haemolyticus
Haemophilus influenzae
Haemophilus
parahaemolyticus
Haemophilus parainfluenzae
Haemophilus
paraphrophaemolyticus
Haemophilus somnus
Haemophilus sp. 70334
Haemophilus sp. HK445
Haemophilus sp. oral clone
Haemophilus sp. oral clone
Haemophilus sp. oral clone
Haemophilus sp. oral clone
Haemophilus sp. oral taxon
Haemophilus sputorum
Histophilus somni
Mannheimia haemolytica
Pasteurella bettyae
Moellerella wisconsensis
Morganella morganii
Morganella sp. JB_T16
Proteus mirabilis
Proteus penneri
Proteus sp. HS7514
Proteus vulgaris
Oribacterium sinus
Oribacterium sp. ACB1
Oribacterium sp. ACB7
Oribacterium sp. CM12
Oribacterium sp. ICM51
Oribacterium sp. OBRC12
Oribacterium sp. oral taxon
Actinobacillus
actinomycetemcomitans
Actinobacillus succinogenes
Aggregatibacter
actinomycetemcomitans
Aggregatibacter aphrophilus
Aggregatibacter segnis
Averyella dalhousiensis
Bisgaard Taxon
Bisgaard Taxon
Bisgaard Taxon
Bisgaard Taxon
Buchnera aphidicola
Cedecea davisae
Citrobacter amalonaticus
Citrobacter braakii
Citrobacter farmeri
Citrobacter freundii
Citrobacter gillenii
Citrobacter koseri
Citrobacter murliniae
Citrobacter rodentium
Citrobacter sedlakii
Citrobacter sp. 30_2
Citrobacter sp. KMSI_3
Citrobacter werkmanii
Citrobacter youngae
Cronobacter malonaticus
Cronobacter sakazakii
Cronobacter turicensis
Enterobacter aerogenes
Enterobacter asburiae
Enterobacter cancerogenus
Enterobacter cloacae
Enterobacter cowanii
Enterobacter hormaechei
Enterobacter sp. 247BMC
Enterobacter sp. 638
Enterobacter sp. JC163
Enterobacter sp. SCSS
Enterobacter sp. TSE38
Escherichia albertii
Escherichia coli
Escherichia fergusonii
Escherichia hermannii
Escherichia sp. 1_1_43
Escherichia sp. 4_1_40B
Escherichia sp. B4
Escherichia vulneris
Ewingella americana
Haemophilus genomosp. P2
Haemophilus genomosp. P3
Haemophilus sp. oral clone
JM053
Hafnia alvei
Klebsiella oxytoca
Klebsiella pneumoniae
Klebsiella sp. AS10
Klebsiella sp. Co9935
Klebsiella sp. enrichment
Klebsiella sp. OBRC7
Klebsiella sp. SP_BA
Klebsiella sp. SRC_DSD1
Klebsiella sp. SRC_DSD11
Klebsiella sp. SRC_DSD12
Klebsiella sp. SRC_DSD15
Klebsiella sp. SRC_DSD2
Klebsiella sp. SRC_DSD6
Klebsiella variicola
Kluyvera ascorbata
Kluyvera cryocrescens
Leminorella grimontii
Leminorella richardii
Pantoea agglomerans
Pantoea ananatis
Pantoea brenneri
Pantoea citrea
Pantoea conspicua
Pantoea septics
Pasteurella dagmatis
Pasteurella multocida
Plesiomonas shigelloides
Raoultella ornithinolytica
Raoultella planticola
Raoultella terrigena
Salmonella bongori
Salmonella enterica
Salmonella enterica
Salmonella enterica
Salmonella enterica
Salmonella enterica
Salmonella enterica
Salmonella enterica
Salmonella enterica
Salmonella enterica
Salmonella enterica
Salmonella enterica
Salmonella enterica
Salmonella typhimurium
Salmonella typhimurium
Serratia fonticola
Serratia liquefaciens
Serratia marcescens
Serratia odorifera
Serratia proteamaculans
Shigella boydii
Shigella dysenteriae
Shigella flexneri
Shigella sonnei
Tatumella ptyseos
Trabulsiella guamensis
Yersinia aldovae
Yersinia aleksiciae
Yersinia bercovieri
Yersinia enterocolitica
Yersinia frederiksenii
Yersinia intermedia
Yersinia kristensenii
Yersinia mollaretii
Yersinia pestis
Yersinia pseudotuberculosis
Yersinia rohdei
Yokenella regensburgei
Conchiformibius kuhniae
Morococcus cerebrosus
Neisseria bacilliformis
Neisseria cinerea
Neisseria flavescens
Neisseria gonorrhoeae
Neisseria lactamica
Neisseria macacae
Neisseria meningitidis
Neisseria mucosa
Neisseria pharyngis
Neisseria polysaccharea
Neisseria sicca
Neisseria sp. KEM232
Neisseria sp. oral clone AP132
Neisseria sp. oral strain B33KA
Neisseria sp. oral taxon 014
Neisseria sp. TM10_1
Neisseria subflava
Okadaella gastrococcus
Streptococcus agalactiae
Streptococcus alactolyticus
Streptococcus australis
Streptococcus bovis
Streptococcus canis
Streptococcus constellatus
Streptococcus cristatus
Streptococcus dysgalactiae
Streptococcus equi
Streptococcus equinus
Streptococcus gallolyticus
Streptococcus genomosp. C1
Streptococcus genomosp. C2
Streptococcus genomosp. C3
Streptococcus genomosp. C4
Streptococcus genomosp. C5
Streptococcus genomosp. C6
Streptococcus genomosp. C7
Streptococcus genomosp. C8
Streptococcus gordonii
Streptococcus infantarius
Streptococcus infantis
Streptococcus intermedius
Streptococcus lutetiensis
Streptococcus massiliensis
Streptococcus mitis
Streptococcus oligofermentans
Streptococcus oralis
Streptococcus parasanguinis
Streptococcus pasteurianus
Streptococcus peroris
Streptococcus pneumoniae
Streptococcus porcinus
Streptococcus
pseudopneumoniae
Streptococcus pseudoporcinus
Streptococcus pyogenes
Streptococcus ratti
Streptococcus sanguinis
Streptococcus sinensis
Streptococcus sp. 2_1_36FAA
Streptococcus sp. 2285_97
Streptococcus sp. ACS2
Streptococcus sp. AS20
Streptococcus sp. BS35a
Streptococcus sp. C150
Streptococcus sp. CM6
Streptococcus sp. ICM10
Streptococcus sp. ICM12
Streptococcus sp. ICM2
Streptococcus sp. ICM4
Streptococcus sp. ICM45
Streptococcus sp. M143
Streptococcus sp. M334
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral clone
Streptococcus sp. oral taxon
Streptococcus sp. oral taxon
Streptococcus sp. oral taxon
Streptococcus sp. oral taxon
Streptococcus suis
Streptococcus thermophilus
Streptococcus salivarius
Streptococcus uberis
Streptococcus urinalis
Streptococcus vestibularis
Streptococcus viridans
Bacillus coagulans
Blautia luti
Blautia sp
Blautia wexlerae
Ruminococcus obeum
Clostridiales sp
Clostridium aerotolerans
Clostridium disporicum
Clostridium sp
Clostridium symbiosum
Dorea longicatena
Eubacterium
cellulosolvens
Eubacterium ventriosum
Gemmiger formicilis
Robinsoniella peoriensis
Roseburia hominis
Roseburia intestinalis
Ruminococcus sp
Syntrophococcus
sucromutans
Turicibacter sanguinis
Clostridiales sp
Clostridium bartlettii
Clostridium irregulare
Clostridium sordellii
Lachnospiraceae sp
Clostridium butyricum
Clostridium orbiscindens
Clostridium butyricum
Clostridium butyricum
Clostridium butyricum
Clostridium butyricum
Clostridium butyricum
Clostridium butyricum
Clostridium butyricum
Clostridium butyricum
Clostridium butyricum
Clostridium orbiscindens
Clostridium orbiscindens
Clostridium orbiscindens
Clostridium orbiscindens
Clostridium orbiscindens
Clostridium orbiscindens
Clostridium orbiscindens
Clostridium orbiscindens
Clostridium orbiscindens
Clostridium orbiscindens
Clostridium orbiscindens
Clostridium orbiscindens
Clostridium orbiscindens
Clostridium butyricum
Clostridium butyricum
Clostridium butyricum
Clostridium butyricum
Clostridium orbiscindens
Clostridium butyricum
Clostridium butyricum
Clostridium orbiscindens
Clostridium butyricum
Clostridium orbiscindens
Clostridium butyricum
Clostridium orbiscindens
Clostridium butyricum
Clostridium orbiscindens
Clostridium butyricum
Clostridium orbiscindens
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Blautia producta
Bacteroides sp. 2_1_22
Streptococcus anginosus
Prevotella intermedia
Prevotella nigrescens
Oribacterium sp. ACB7
Prevotella salivae
Bacteroides intestinalis
Bifidobacterium dentium
Alcaligenes faecalis
Rothia dentocariosa
Peptoniphilus lacrimalis
Anaerococcus sp. gpac155
Sutterella stercoricanis
Bacteroides sp. 3_1_19
Parabacteroides goldsteinii
Bacteroides dorei
Bacteroides massiliensis
Lactobacillus iners
Granulicatella adiacens
Eggerthella sp. 1_3_56FAA
Gordonibacter pamelaeae
Finegoldia magna
Actinomyces nasicola
Streptobacillus moniliformis
Oscillospira guilliermondii
Orientia tsutsugamushi
Christensenella minuta
Clostridium oroticum
Clostridium sp. D5
Clostridium glycyrrhizinilyticum
Coprococcus comes
Ruminococcus lactaris
Ruminococcus torques
Clostridiales sp. SS3/4
Clostridium hylemonae
Clostridium aerotolerans
Clostridium asparagiforme
Clostridium sp. M62/1
Clostridium symbiosum
Blautia sp. M25
Blautia stercoris
Ruminococcus hansenii
Ruminococcus obeum
Ruminococcus sp. 5_1_39BFAA
Bryantella formatexigens
Eubacterium cellulosolvens
Clostridium sp. HGF2
Clostridium bartlettii
Clostridium bifermentans
Clostridium glycolicum
Eubacterium tenue
Dorea formicigenerans
Dorea longicatena
Ruminococcus gnavus
Clostridium hathewayi
Blautia hydrogenotrophica
Roseburia faecis
Roseburia hominis
Roseburia intestinalis
Eubacterium sp. WAL 14571
Eubacterium biforme
Eubacterium dolichum
Coprococcus catus
Acetivibrio ethanolgignens
Anaerosporobacter mobilis
Bacteroides pectinophilus
Eubacterium hallii
Eubacterium xylanophilum
Anaerostipes caccae
Clostridiales bacterium
Clostridium aldenense
Clostridium citroniae
Eubacterium hadrum
Acetanaerobacterium elongatum
Faecalibacterium prausnitzii
Gemmiger formicilis
Eubacterium ramulus
Lachnospiraceae bacterium DJF
Holdemania filiformis
Clostridium orbiscindens
Pseudoflavonifractor capillosus
Acetivibrio cellulolyticus
Eubacterium limosum
Anaerotruncus colihominis
Clostridium methylpentosum
Clostridium sp. YIT 12070
Hydrogenoanaero bacterium
saccharovorans
Eubacterium ventriosum
Eubacterium eligens
Lachnospira pectinoschiza
Lactobacillus rogosae
Clostridium leptum
Eubacterium coprostanoligenes
Ruminococcus bromii
Clostridium viride
Butyrivibrio crossotus
Coprococcus eutactus
Eubacterium ruminantium
Eubacterium rectale
Roseburia inulinivorans
Butyricicoccus pullicaecorum
Eubacterium desmolans
Papillibacter cinnamivorans
Sporobacter termitidis
Clostridium lactatifermentans
OTUs that comprise an augmented ecology are not present in the patient prior to treatment and/or exist at extremely low frequencies such that they do not comprise a significant fraction of the total microbial carriage and are not detectable by genomic and/or microbiological assay methods. OTUs that are members of the engrafting and augmented ecologies were identified by characterizing the OTUs that increase in their relative abundance post treatment and that respectively are: (i) present in the ethanol treated spore preparation and absent in the patient pretreatment, or (ii) absent in the ethanol treated spore preparation, but increase in their relative abundance through time post treatment with the preparation due to the formation of favorable growth conditions by the treatment. Notably, the latter OTUs can grow from low frequency reservoirs in the patient, or be introduced from exogenous sources such as diet. OTUs that comprise a “core” augmented or engrafted ecology can be defined by the percentage of total patients in which they are observed to engraft and/or augment; the greater this percentage the more likely they are to be part of a core ecology responsible for catalyzing a shift away from a dysbiotic ecology. The dominant OTUs in an ecology can be identified using several methods including but not limited to defining the OTUs that have the greatest relative abundance in either the augmented or engrafted ecologies and defining a total relative abundance threshold. As example, the dominant OTUs in the augmented ecology of Patient-1 were identified by defining the OTUs with the greatest relative abundance, which together comprise 60% of the microbial carriage in this patient's augmented ecology.
Klebsiella (% of total reads)
Fusobacterium (%
Klebsiella pneumoniae
Klebsiella sp. Co9935
Escherichia coli
Klebsiella sp. Co9935
Klebsiella pneumoniae
Klebsiella sp. Co9935
Klebsiella pneumoniae
Bacteroides
B. fragilis group
Bacteroides spp. in Patient 1 post-treatment with the
Bacteroides sp. 4_1_36
Bacteroides cellulosilyticus
Bacteroides sp. 1_1_30
Bacteroides uniformis
Bacteroides ovatus
Bacteroides dorei
Bacteroides xylanisolvens
Bacteroides sp. 3_1_19
M. morganii
P. rettgeri
M. morganii
P. pennerii
M. morganii
Alkaliphilus metalliredigens
Ammonifex degensii
Anaerofustis stercorihominis
Anaerostipes caccae
Anaerotruncus colihominis
Bacillus amyloliquefaciens
Bacillus anthracis
Bacillus cellulosilyticus
Bacillus cereus
Bacillus clausii
Bacillus coagulans
Bacillus cytotoxicus
Bacillus halodurans
Bacillus licheniformis
Bacillus pumilus
Bacillus subtilis
Bacillus thuringiensis
Bacillus weihenstephanensis
Blautia hansenii
Brevibacillus brevis
Bryantella formatexigens
Caldicellulosiruptor saccharolyticus
Candidatus Desulforudis audaxviato
Carboxydibrachium pacificum
Carboxydothermus hydrogenoformans
Clostridium acetobutylicum
Clostridium asparagiforme
Clostridium bartlettii
Clostridium beijerinckii
Clostridium bolteae
Clostridium botulinum A str. ATCC 19397
Clostridium botulinum B str. Eklund 17B
Clostridium butyricum pathogenic E4 str.
Clostridium Carboxidivorans
Clostridium cellulolyticum
Clostridium cellulovorans
Clostridium difficile
Clostridium hathewayi
Clostridium hylemonae
Clostridium kluyveri
Clostridium leptum
Clostridium methylpentosum
Clostridium nexile
Clostridium novyi NT
Clostridium papyrosolvens
Clostridium perfringens
Clostridium phytofermentans ISDg
Clostridium scindens
Clostridium sp. 7_2_43FAA
Clostridium sporogenes
Clostridium tetani
Clostridium thermocellum
Coprococcus comes
Desulfotomaculum reducens
Dorea longicatena
Eubacterium eligens
Eubacterium hallii
Eubacterium rectale
Eubacterium ventriosum
Faecalibacterium prausnitzii
Geobacillus kaustophilus
Geobacillus sp. G11MC16
Geobacillus thermodenitrificans
Heliobacterium modesticaldum
Lysinibacillus sphaericus
Oceanobacillus iheyensis
Paenibacillus sp. JDR-2
Pelotomaculum thermopropionicum
Roseburia intestinalis
Ruminococcus bromii
Ruminococcus gnavus
Ruminococcus obeum
Ruminococcus torques
Subdoligranulum variabile
Symbiobacterium thermophilum
Thermoanaerobacter italicus
Thermoanaerobacter tengcongensis
Thermoanaerobacterium
thermosaccharolyticum
Thermosinus carboxydivorans
This application claims priority to U.S. Provisional Application No. 61/760,584, filed Feb. 4, 2013 and U.S. Provisional Application No. 61/760,585, filed Feb. 4, 2013 and U.S. Provisional Application No. 61/760,574, filed Feb. 4, 2013 and U.S. Provisional Application No. 61/760,606, filed Feb. 4, 2013 and U.S. Provisional Application No. 61/926,918, filed Jan. 13, 2014. These applications are all incorporated by reference in their entirety for all purposes.
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/US14/14744 | 2/4/2014 | WO | 00 |
| Number | Date | Country | |
|---|---|---|---|
| 61760574 | Feb 2013 | US | |
| 61760584 | Feb 2013 | US | |
| 61760585 | Feb 2013 | US | |
| 61760606 | Feb 2013 | US | |
| 61926918 | Jan 2014 | US |
