FECAL FUNGOME AND THERAPEUTIC EFFICACY OF FECAL MICROBIOTA TRANSPLANTATION

Information

  • Patent Application
  • 20210038663
  • Publication Number
    20210038663
  • Date Filed
    February 01, 2019
    5 years ago
  • Date Published
    February 11, 2021
    3 years ago
Abstract
Methods are provided for identifying subjects as suitable donor or recipients for FMT, for assessing the likelihood of FMT treatment success, and for enhancing FMT treatment efficacy. Also provided are kits and compositions for FMT with enhanced efficacy.
Description
BACKGROUND OF THE INVENTION


Clostridium difficile infection (CDI) is a symptomatic infection due to the spore-forming bacterium, Clostridium difficile. C. difficile infection is spread by bacterial spores found within feces. Risk factors for infection include antibiotic or proton pump inhibitors use, hospitalization, other health problems, and older age. Its symptoms including watery diarrhea, fever, nausea, and abdominal pain, CDI makes up about 20% of cases of antibiotic-associated diarrhea. About 453,000 cases C. difficile infection occurred in the United States in 2011, resulting in 29,000 deaths. Each year, C. difficile infections accounts for health care cost of approximately $1.5 billion. Globally, rates of C. difficile infection have increased between 2001 and 2016, typically with more women than men affected by the infections.


Fecal microbiota transplantation (FMT) is highly effective for the treatment of CDI, especially among patients suffering from recurrent CDI. Also known as stool transplant, FMT involves a process of transplanting fecal matter containing microorganism from a healthy individual into the gastrointestinal tract of a recipient. The goal of FMT is restoration of the gut microflora disrupted due to CDI by introducing (or re-introducing) healthy bacterial flora via various means of infusion of a healthy individual's stool, e.g., by colonoscopy, enema, orogastric tube, or by mouth in the form of a capsule containing freeze-dried material obtained from a healthy donor. Aside from CDI, FMT is increasingly being used to treat other intestinal and extra-intestinal diseases, including other gastrointestinal diseases, such as inflammatory bowel disease (IBD), antibiotic-resistant bacterial infection, diarrhea, constipation, irritable bowel syndrome, autism, depression, obesity, diabetes, alopecia, and the like. In addition, FMT has been used for treating certain neurological conditions, such as multiple sclerosis and Parkinson's Disease. Considering the prevalence of CDI and other conditions treatable by FMT in the human population and their significant economic implications, there exists an urgent need for developing new and improved methods for treating CDI and other disorders by FMT with enhanced efficacy. The present invention fulfills this and other related needs.


BRIEF SUMMARY OF THE INVENTION

The invention relates to novel methods and compositions useful for more effectively treating Clostridium difficile infection (CDI) and other diseases suitable by fecal microbiota transplantation (FMT) treatment. In particular, the present inventor discovered that, when elevated level of the yeast species Candida albicans is present in the gastrointestinal tract of an FMT recipient or in the stool of an FMT donor, therapeutic efficacy of FMT is negatively impacted. This finding allows the inventors to devise methods and compositions that can improve FMT effectiveness. Thus, in the first aspect, the present invention provides a novel method for assessing the likelihood of effective FMT. The method includes a step of determining C. albicans level in a stool sample obtained from a potential recipient prior to FMT is performed, i.e., before the recipient is to receive transplantation of a donor fecal material.


In some embodiments, the C. albicans level is a percentage relative abundance, or is expressed as a percentage over the total level of all fungal species in the sample. In some embodiments, when the C. albicans level is determined as greater than 10% of total fungi in the sample of the recipient, FMT is assessed as unlikely to be effective for the potential recipient. Under such a determination, the recipient in some cases will not receive FMT treatment but will receive another different therapy; in other cases, the recipient is administered an effective amount of an antifungal agent that suppresses C. albicans growth before FMT is performed. Optionally, after the administration of the antifungal agent, the C. albicans level in the recipient (e.g., in a recipient's stool sample) is again measured and determined to have been lowered before the recipient is transplanted with a composition containing donor fecal material. In some cases, C. albicans level is again determined in a stool sample obtained from the recipient after FMT.


In some embodiments, when the C. albicans level is no greater than 10% of total fungi in the sample, FMT is assessed as likely to be effective for the potential recipient. In some cases, the potential recipient is then immediately given FMT, without any further treatment or preparation such as administration of an antifungal agent in the effective amount. In some embodiments, the method further involves a step of determining total fungal load in the stool sample. A potential recipient whose total fungal load in his stool sample is found to be relatively lower than that of a second potential recipient is expected to have a higher likelihood of having a successful FMT than the second recipient. In some embodiments, multiple potential recipients of FMT are tested prior to FMT using this method for assessing their relative likelihood of success upon receiving FMT treatment. For instance, C. albicans level is determined in a first stool sample obtained from a first potential recipient prior to FMT, and in the meantime C. albicans level is determined in a second stool sample obtained from a second potential recipient prior to FMT. In some embodiments, when the first potential recipient has a lower C. albicans level than the second potential recipient and is therefore assessed to have a higher likelihood of effective FMT than the second potential recipient. In some embodiments, the second potential recipient is then administered an effective amount of an antifungal agent that suppresses C. albicans growth before FMT, whereas the first potential recipient may or may need antifungal agent treatment prior to FMT. In some embodiments, C. albicans level is determined by quantitative polymerase chain reaction (PCR). In some embodiments, the levels of all fungal species present in the sample is determined by the Internal transcribed spacer 2 (ITS2) sequencing. In some embodiments, the recipient or recipients suffer from inflammatory bowel disease (IBD) with concurrent Clostridium difficile infection (CDI). The C. albicans level in the stool may be determined before and after their FMT process. An elevated C. albicans level before or after FMT is indicative of a higher likelihood of poor outcome or ineffective FMT.


In a second aspect, the present invention provides a novel, improved method for identifying a suitable donor who would provide stool or fecal material for FMT. The method includes the step of determining C. albicans level in a stool sample obtained from a candidate who is being considered as a potential donor for FMT.


In some embodiments, the C. albicans level determined in this method is a percentage relative abundance. In some cases, when the C. albicans level is no greater than 0.1% of all fungi present in the sample, the candidate is identified as a suitable donor for FMT. Optionally, fecal matter such as stool is immediately collected from the candidate for use in FMT. In some cases, when the C. albicans level is greater than 0.1%, the candidate is deemed unsuitable as a donor for FMT. As a result, either no fecal matter is collected from the candidate at all; or fecal matter is collected for processing to be used in FMT after the candidate is given an effective amount of an antifungal agent that suppresses C. albicans growth and again tested to find a satisfactorily reduced C. albicans level in the stool sample (e.g., no greater than 0.1% of total fungi in the sample). In some embodiments, the stool sample of a candidate is tested for Saccharomyces level and Aspergillus level in addition to C. albicans level. In some embodiments, C. albicans level is determined by quantitative PCR. In some embodiments, the levels of all fungi present in the sample is determined by ITS2 sequencing. In some embodiments, the method includes the additional step of determining Escherichia level and Proteus level in the stool sample of a potential donor. Among multiple potential donors, one with a relatively high Escherichia level and a relatively low Proteus level is deemed a more suitable donor than one with a relatively low Escherichia level and/or a relatively high Proteus level. In some embodiments, the method further includes a step of determining the total fungal load in the stool sample taken from the potential donor. A potential donor whose total fungal load in his stool sample is found to be relatively lower than that of a second potential donor is expected to be a more desirable donor, i.e., provide a higher likelihood of a successful FMT, than the second donor.


In a third aspect, the present invention provides a method for improving FMT efficacy. The method includes the step of administering to an FMT recipient prior to FMT being performed an effective amount of an antifungal agent that suppresses C. albicans growth. In some embodiments of this method, C. albicans level is first determined in a stool sample from the FMT recipient prior to administration of the antifungal agent. In some embodiments, C. albicans level is determined in a stool sample from the FMT recipient after administration of the antifungal agent. In some embodiments, C. albicans level is determined by quantitative PCR. In some embodiments, the levels of all fungi present in the sample is determined by ITS2 sequencing. In some embodiments, the method further includes a step of administering to the recipient prior to FMT an effective amount of an agent (e.g., an anti-fungal agent, such as a broad-spectrum fungicide), which reduces total fungal load in a stool sample taken from the recipient prior to FMT. In some embodiments, the recipient is a patient suffering from inflammatory bowel disease (IBD) with concurrent Clostridium difficile infection (CDI).


In a fourth aspect, the present invention provides kits and compositions useful for enhanced FMT treatment with improved efficacy. In some embodiments, a kit for improving FMT efficacy includes a first composition comprising a donor stool material and a second composition comprising an effective amount of an antifungal agent capable of suppressing the growth of C. albicans. Typically, the first and second compositions are kept in two separate containers. In some embodiments, the first composition contains processed donor fetal matter and is formulated for FMT by direct transfer to the GI tract (e.g., via colonoscopy or via nasal intubation) or by oral ingestion. In some embodiments, the first composition comprises donor fecal matter further fortified with an additional and effective amount of one or more fungal species belonging to the genus Saccharomyces and/or the genus Aspergillus. In some embodiments, the second composition is formulated for administration of the antifungal agent (such as fluconazole) to the recipient by injection, oral ingestion, or rectal deposit. In some embodiments, the kit may further comprise, either in the second composition or in a third composition, an effective amount of an agent that reduces total fungal load. In the alternative, the kit may comprise a third composition, which comprises an effective amount of an agent that reduces total fungal load, but not the second composition. In some cases, the kit may further include printed user instructions.


Related compositions useful in FMT with improved efficacy may comprise (1) a donor stool material containing live fecal microorganisms and (2) an antifungal agent that specifically suppresses the growth or proliferation of C. albicans but exhibits no such suppressive or inhibitory effect against other fungal species. Instead of a broad-spectrum fungicide, such specific anti-C. albicans agent may be short polynucleotide in nature of (e.g., a small inhibitory RNA, microRNA, miniRNA, lncRNA, or an antisense oligonucleotide that is capable of disrupting the expression of a key gene in the life cycle of C. albicans) that is capable of specifically targeting the species only but not other closely related fungal species.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 Fungal alterations in CDI. (A) Comparison of the fecal mycobiota based on Shanon diversity, evenness, Chao1 richness in controls and CDI subjects. The bars are shown in median and interquartile range. The dots indicate individual values of the studied subjects. Statistical significance was determined by Mann-Whitney test, *P<0.05, **P<0.01. (B) Fungal community structure difference between controls and CDI by NMDS (Non-metric multidimensional scaling) plot based upon Bray-Curtis distance among all samples. (C) Comparison of the fecal mycobiota composition between controls and CDI subjects at the phylum level. (D) Differentially enriched fungal species between controls and CDI. Statistical significance was determined by LefSe analysis with FDR correction (only those species with q values<0.05 and LDA effect size>2 are shown). Heatmap of the presence of these differential fungal species is shown in relative abundance intensity. LDA effect size, q value (FDR-adjusted P value) and species annotation are shown. Green bars and dots indicate species enriched in controls, while red bar and dot indicate species enriched in CDI. (E) Comparison of the relative abundance of fecal C. albicans in controls and CDI subjects. The bars are shown in median and interquartile range. Statistical significance was determined by Mann-Whitney test, *P<0.05.



FIG. 2 Colonization of donor-derived fungal and bacterial taxa in FMT recipients in association with treatment response. (A) Presence of fungal operational taxonomic units (OTUs) in FMT recipients at the last follow-up. The color of the bar indicates the origin of the bacterial OTUs in the recipient. Purple indicates donor-derived OTUs colonized in the recipient, orange indicates OTUs exclusively present in recipient at baseline but not in donor at baseline, while green indicates OTUs present both in donor and in recipient before FMT. Comparison of the frequency of donor derived bacterial OTUs in FMT responders and in non-responders is shown. Statistical significance was determined by Mann-Whitney test, **P<0.01. (B) Presence of bacterial OTUs in FMT recipients at the last follow-up. Comparison of the frequency of donor-derived bacterial OTUs in FMT responders and in non-responders is shown. Statistical significance was determined by Mann-Whitney test, *P<0.05. (C) Heatmap of the abundance of differentially presented fungal genera in donor, pre-FMT and post-FMT last follow-up samples. Fungal genera with disparate presence between FMT responders and non-responders, as determined by LefSe analysis, are labeled with asterisk (genera with LDA effect size>2 and q value<0.01).



FIG. 3 Post-FMT alterations in the enteric mycobiota of CDI recipients in association with FMT response. Fecal fungal richness (A) and diversity (B) alterations in FMT recipients over the course of longitudinal follow-up and in their corresponding donors at baseline. Comparison of the fungal richness and diversity of pre-FMT samples and post-FMT samples collected at the last follow-up are shown in FMT responders and FMT non-responders respectively. Statistical significance was determined by paired Wilcox signed rank test, *P<0.05. “F” indicates FMT treated subject. “W” indicates weeks post treatment. (C) Alterations in the fecal fungal composition at the genus level in CDI recipients after FMT at different time points up to the last follow-up. (D) Differentially enriched fungal taxa across post-FMT fecal samples of FMT responders versus non-responders at the genus and species level respectively. Statistical significance level was determined by LefSe analysis with FDR correction (only those taxa with q values<0.05 and LDA effect size>2 are shown). Green bars and dots indicate taxa enriched in controls, while red bar and dot indicate taxa enriched in CDI. (E) Alterations of the relative abundance of fecal C. albicans after FMT at the last follow-up in FMT recipients. Statistical significance was determined by paired Wilcox signed rank test, *P<0.05. (F) Relative abundance of C. albicans in donor stool corresponding to FMT responders and non-responders. Statistical significance was determined by Chi-square test. (G) Relative abundance of C. albicans in stool of recipients before FMT in association with FMT response. Statistical significance was determined by Chi-square test.



FIG. 4
C. albicans compromises FMT efficacy in eradicating C. difficile infection in mice. A) Schematic diagram of C. albicans administration and stool infusion (FMT) in a murine C. difficile infection (CDI) model. Antibiotic treatment was ceased before gavage of C. albicans (CA) and C. difficile. B) Diarrhoea in mice on day 1 after stool infusion. C) Representative H&E-stained colonic sections on day 2 after stool infusion (shaded star denotes inflammatory cells infiltration, hallowed star denote ulceration, asterisk denotes oedema, arrow denotes goblet cell loss and triangle denotes herniated crypts). Scale bar, 150 μm. n=5 mice per group. D) Enumeration of C. difficile in feces of mice on day 0 before FMT and day 1 post FMT (n=9 mice per group). Statistical significance represents comparisons between FMT-treated mice with C. difficile infection versus other groups by unpaired Mann-Whitney test. *P<0.05, **P<0.01. E) Enumeration of C. albicans in feces of mice both on day 0 before FMT and day 1 post FMT (n=9 mice per group). Statistical significance represents comparison between C. albicans load on day 0 before FMT and day 1 post FMT, by paired Mann-Whitney test. *P<0.05. Dot graphs show means±s.e.m, performed at least two times independently.



FIG. 5 Quantification of fecal C. albicans levels in CDI subjects and healthy controls by qPCR. a, qPCR detection of C. albicans on CDI subjects and healthy controls from the discovery cohort. Comparison of the fecal C. albicans level between control and CDI was determined by Mann-Whitney test, ****P<0.0001. b, qPCR detection of C. albicans on an additional set of subjects (17 healthy individuals, 12 CDI subjects with and 12 without antibiotic use at inclusion). Statistical significance was tested by unpaired Mann-Whitney test. *P<0.05, **P<0.01. Graphs are shown in mean±s.e.m. ND denotes no detectable C. albicans in the feces as determined by quantitative PCR.



FIG. 6 Longitudinal timeline of stool sample collection (expressed in weeks). “F” indicates FMT treated subject. “Donor” indicates FMT donor. “S” indicates subject treated with standard therapy (STD, vancomycin). “W” indicates weeks post treatment. Red dots indicate donor samples, green dots indicate FMT recipient samples sampled at different time points.



FIG. 7 Heatmap of the abundance of differentially presented bacterial genera in donor, pre-FMT and post-FMT last follow-up samples.



FIG. 8 Post-FMT alterations in the enteric bacterial microbiota of CDI recipients in association with FMT response. (A) Comparison of the fecal bacterial shanon diversity, evenness, chao1 richness in healthy controls and in CDI subjects. The bars are shown in median and interquartile range. The dots indicate individual values of the studied subjects. Statistical significance was determined by Mann-Whitney test, **P<0.01. Fecal bacterial richness (B) and diversity (C) alterations in FMT recipients over the course of longitudinal follow-up and in their corresponding donors at baseline. Comparison of the fungal richness and diversity of pre-FMT samples and post-FMT samples collected at the last follow-up are shown in FMT responders and FMT non-responders respectively. Statistical significance was determined by paired Wilcox signed rank test, *P<0.05. “F” indicates FMT treated subject. “W” indicates weeks post treatment.



FIG. 9 Post-antibiotic alterations in the enteric mycobiota of CDI subjects treated with vancomycin in association with treatment response. Fecal fungal richness (A) and diversity (B) alterations over the course of longitudinal follow-up in CDI subjects who received vancomycin treatment. “S” indicates CDI subject received vancomycin treatment (standerd therapy, STD). “W” indicates weeks post vancomycine treatment. (C) Frequencies of CDI individuals increased or decreased in fungal diversity and richness post treatment with respect to FMT and STD treatment. Statistical significance was determined by Chi-square test, *P<0.05. (D) Comparison of post-FMT fold change (FC) of the fecal fungal diversity relative to the pre-FMT sample in FMT responders and STD responders. Statistical significance was determined by Chi-square test, *P<0.05. (E) Comparison of post-FMT fold change (FC) of the fecal fungal richness relative to the pre-FMT sample in FMT responders and STD responders. Statistical significance was determined by Man-whitney test, *P<0.05. (G) Alterations in the fecal fungal composition at the genus level in CDI subjects on vancomycin regime at different time points up to the last follow-up.



FIG. 10 Fecal bacterial microbiota richness (A) and diversity (B) alterations in STD subjects over the course of longitudinal follow-up. “S” indicates vancomycin treated subject (STD treatment). “W” indicates weeks post treatment.



FIG. 11 Differentially enriched fungal taxa across post-treatment samples of FMT responders versus STD responders at the family, genus and species levels. Statistical significance level was determined by lefSe analysis with FDR correction (only those taxa with q values<0.05 and LDA effect size>2 are shown).



FIG. 12 Post-STD alterations of the relative abundance of fecal C. albicans at the last follow-up and at baseline in CDI subjects on vancomycin treatment. Statistical significance was determined by paired Wilcox signed rank test.



FIG. 13 Spearman correlation between fungal diversity, evenness, richness and bacterial diversity, evenness, richness, with respect to FMT and STD treatment and treatment response. Statistical significance was determined for all pairwise comparisons; significant correlations (P value<0.05) are displayed with asterisk. Blue circles and positive values indicate positive correlations, red circles and negative values indicate inverse correlations. The size and shading indicate the magnitude of the correlation where darker shades are more intensively correlated than lighter ones.



FIG. 14 Trans-kingdom interactions between bacteria and fungi. Spearman correlation plots of the relative abundance of fungal genera and bacterial genera identified to be significantly associated with CDI and controls at baseline, with respect to FMT and STD treatment and treatment response. Spearman correlation coefficients were calculated for all pairwise comparisons; Blue circles and positive values indicate positive correlations, red circles and negative values indicate inverse correlations. The size and shading indicate the magnitude of the correlation where darker shades are more intensively correlated than lighter ones. Statistical significance was determined for all pairwise comparisons; only correlations tested significant (P value<0.05) are displayed.



FIG. 15 Pre-FMT eradication of C. albicans in recipient mice restored FMT efficacy in clearing C. difficile infection. A) Schematic diagram of antifungal treatment and stool infusion (FMT) in a murine model with di-colonisation of C. albicans and C. difficile. Antifungal (fluconazole) treatment was ceased at day 4 after administration of C. albicans when C. albicans was determined negative by cultivation. “CCfF”, mouse group with di-colonisation of C. albicans and C. difficile and treatments of fluconazole and FMT; “CCF”, mouse group with di-colonisation of C. albicans and C. difficile and treatment of FMT; “CC”, mouse group with di-colonisation of C. albicans and C. difficile. B) Enumeration of C. difficile in feces of mice on day 0 before FMT and day 1 post FMT (n=10 mice per group). Statistical significance was determined by unpaired Mann-Whitney test. *P<0.05, **P<0.01. C) Enumeration of C. albicans in feces of mice both on day 0 before FMT and day 1 post FMT (n=10 mice per group). Statistical significance represents comparison between C. albicans load on day 0 before FMT and day 1 post FMT, by paired Mann-Whitney test. **P<0.01. Dot graphs show means±s.e.m, performed at least two times independently.



FIG. 16 The presence of C. albicans is linked to FMT outcomes in CDI. The absolute abundance of fecal C. albicans before and after FMT at the last follow-up in FMT recipients, assessed by quantitative PCR. Comparison of the fecal C. albicans levels between pre-FMT samples and post-FMT samples was performed by paired Wilcoxon signed rank test, *P<0.05. Comparison of the fecal C. albicans levels between the post-FMT samples of FMT responders and FMT non-responders was performed by Mann-Whitney test, $$P<0.01. ND denotes no detectable C. albicans in the feces.



FIG. 17 Comparison of the total fungal load in the feces of controls and CDI subjects. Statistical significance was determined by Mann-Whitney test, ***P<0.001.



FIG. 18 The total fecal fungal load and C. albicans in inflammatory bowel disease (IBD). a. Comparison of the total fungal load in the feces of controls and IBD subjects, including patients with CD and UC. Statistical significance was determined by Mann-Whitney test, ***P<0.001, *P<0.05. b. Comparison of C. albicans levels in the feces of controls and CDI subjects.



FIG. 19 The total fecal fungal load in irritable bowel syndrome (IBS). Comparison of the total fungal load in the feces of controls and IBS subjects. Statistical significance was determined by Mann-Whitney test, ***P<0.001, **P<0.05.



FIG. 20 Post-FMT alterations in the taxonomic composition of the bacterial microbiota of CDI recipients in association with FMT response. Bacterial configurations in FMT recipients over the course of longitudinal follow-up and in their corresponding donors at baseline, at the phylum (a) and family (b) levels. c, Heatmap of the relative abundance of differentially presented bacterial genera in donor, pre-FMT and post-FMT last follow-up samples. d, Differentially presented bacteria taxa across post-FMT samples of FMT responders versus non-responders at the phylum, family, and genus levels. Statistical significance level was determined by LefSe analysis with FDR correction (only those taxa with q values<0.05 and LDA effect size>2 are shown).



FIG. 21 Quantification of fecal C. albicans levels in IBD concurrent with CDI subjects before and after FMT. The fecal C. albicans level (gDNA content/fecal DNA) was determined by qPCR. PRB, peri rectal bleeding.





Definitions


The term “fecal microbiota transplantation (FMT)” or “stool transplant” refers to a medical procedure during which fecal matter containing live fecal microorganisms (bacteria, fungi, and he like) obtained from a healthy individual is transferred into the gastrointestinal tract of a recipient to restore healthy gut microflora that has been disrupted or destroyed by a variety of medical conditions. Typically, the fecal matter from a healthy donor is first processed into an appropriate form for the transplantation, which can be made through direct deposit into the lower gastrointestinal tract such as by colonoscopy, or by nasal intubation, or through oral ingestion of an encapsulated material containing dried and frozen fecal matter. Clostridium difficile infection (CDI) is the condition most commonly treated by FMT, although a number of other diseases and disorders including in the digestive system and in the nervous system have been reported to be successfully treated by FMT.


The term “inhibiting” or “inhibition,” as used herein, refers to any detectable negative effect on a target biological process, such as RNA/protein expression of a target gene, the biological activity of a target protein, cellular signal transduction, cell proliferation, and the like. Typically, an inhibition is reflected in a decrease of at least 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90% or greater in the target process (e.g., growth or proliferation of fungal cells), or any one of the downstream parameters mentioned above, when compared to a control. “Inhibition” further includes a 100% reduction, i.e., a complete elimination, prevention, or abolition of a target biological process or signal. The other relative terms such as “suppressing,” “suppression,” “reducing,” and “reduction” are used in a similar fashion in this disclosure to refer to decreases to different levels (e.g., at least 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90% or greater decrease compared to a control level) up to complete elimination of a target biological process or signal. On the other hand, terms such as “activate,” “activating,” “activation,” “increase,” “increasing,” “promote,” “promoting,” “enhance,” “enhancing,” or “enhancement” are used in this disclosure to encompass positive changes at different levels (e.g., at least 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%, 200%, or greater such as 3, 5, 8, 10, 20-fold increase compared to a control level) in a target process or signal.


As used herein, “C. albicans” refers to a fungal species belonging to the Candida genus, Saccharomycetaceae family, Saccharomycetales order, Saccharomycetes class, and Ascomycota division. A common member of the human gut flora, C. albicans is a potential yeast pathogen capable of causing opportunistic infection in humans, especially in those with compromised immune system.


The term “antifungal agent” refers to any substance that is capable of inhibiting, suppressing, or preventing the growth or proliferation of fungal species, especially those of the Ascomycota division, such as C. albicans. Known agents with fungicidal activity include amphotericin B, echinocandin, fluconazole, nystatin, and clotrimazole.


“Percentage relative abundance,” when used in the context of describing the presence of a particular fungal species (e.g., C. albicans) in relation to all fungal species present in the same environment, refers to the relative amount of the fungal species out of the amount of all fungal species as expressed in a percentage form. For instance, the percentage relative abundance of C. albicans can be determined by comparing the quantity of C. albicans-specific DNA (e.g., determined by quantitative polymerase chain reaction) in one given sample with the quantity of all fungal DNA (e.g., determined by quantitative PCR and sequencing based on the Internal transcribed spacer 2 or ITS2 sequence) in the same sample.


“Absolute abundance,” when used in the context of describing the presence of a particular fungal species (e.g., C. albicans) in the feces, refers to the amount of DNA derived from the fungal species out of the amount of all DNA in a fecal sample. For instance, the absolute abundance of C. albicans can be determined by comparing the quantity of C. albicans-specific DNA (e.g., determined by quantitative polymerase chain reaction) in one given sample with the quantity of all fecal DNA in the same sample.


“Total fungal load” of a fecal sample, as used herein, refers to the amount of all fungal DNA out of the amount of all DNA in the fecal sample. For instance, the absolute abundance of fungi can be determined by comparing the quantity of fungal specific DNA (e.g., 18S rDNA determined by quantitative polymerase chain reaction) in one given sample with the quantity of all fecal DNA in the same sample.


The term “effective amount,” as used herein, refers to an amount of a substance that produces a desired effect (e.g., an inhibitory or suppressive effect on C. albicans growth) for which the substance (e.g., an antifungal agent) is used or administered. The effects include the prevention, inhibition, or delaying of any pertinent biological process during C. albicans growth or development to any detectable extent. The exact amount will depend on the nature of the substance (the active agent), the manner of use/administration, and the purpose of the application, and will be ascertainable by one skilled in the art using known techniques as well as those described herein.


As used herein, the term “about” denotes a range of value that is +/−10% of a specified value. For instance, “about 10” denotes the value range of 10+/−10×10%, i.e., 9 to 11.


DETAILED DESCRIPTION OF THE INVENTION
I. Introduction

The invention provides a novel approach for assessing the likelihood of effective FMT prior to the procedure being performed as well as for improving the effectiveness of the FMT procedure. During their studies, the present inventors discovered that the presence and relative abundance of certain fungal species both in a recipient's gastrointestinal tract and in a donor's stool directly correlate with the outcome of FMT. In particular, the fungal species Candida albicans of the Saccharomycetaceae family is found to negatively impact the effectiveness of FMT. The detection of C. albicans in a potential donor's stool thus can be used to guide donor selection, whereas analysis of C. albicans level in an FMT recipient can determine whether the subject is immediately ready for FMT or should be treated with an antifungal agent that suppresses C. albicans growth prior to FMT in order to optimize the therapeutic outcome.


II. FMT Donors and Recipients

Patients suffering from CDI, especially recurring CDI, are often considered as recipients for FMT treatment. Aside from CDI, other diseases and conditions, including those of digestive system or nervous system such as colitis, irritable bowel syndrome, multiple sclerosis, Parkinson's Disease, diabetes mellitus, and obesity are also beginning to be considered for FMT treatment.


Fecal matter used in FMT is obtained from a healthy donor and then processed into appropriate forms for the intended means of delivery in the upcoming FMT procedure. Up until now, the general criterion for an FMT donor is simply that the donor is a healthy individual without any known diseases or disorders especially in the digestive tract, although some preference is often given to the members of the same household as the recipient.


The present inventors have discovered in their studies that elevated presence of one particular fungal species, C. albicans, in a recipient's gastrointestinal tract or in a donor stool (which is used in the transplantation after being processed) can significantly reduce efficacy of FMT treatment in a patient. In contrast, successful FMT has been observed as correlating with elevated presence of other fungal species, such as those belonging to the genus of Saccharomyces or Aspergillus, in a recipient or in a donor stool. This revelation enables the initial screening of individuals as appropriate FMT donors as well as the initial screening of patients as likely candidates for successful FMT treatment: if a candidate donor's stool contains an elevated level of C. albicans (e.g., greater than 0.1% of total fungi), the candidate is deemed as unsuitable as an FMT donor, and his stool should not be taken or used in FMT; if a candidate's stool sample shows no or only low level of C. albicans (e.g., no greater than 0.1% of total fungi), then the candidate is deemed an appropriate FMT donor and his fecal material can be immediately retrieved for processing and later used in FMT. On the other hand, if a patient who has been proposed to receive FMT treatment, and his stool sample shows an elevated level of C. albicans (e.g., greater than 10% of total fungi), then the patient is deemed to be unsuitable to receive FMT and is therefore not to be given FMT, as the therapy is likely to be unsuccessful; if a patient's stool sample shows no or only a low level of C. albicans (e.g., no greater than 10% of total fungi), the patient is deemed an appropriate recipient for FMT who is likely to enjoy therapeutic success from FMT, and thus can start FMT treatment immediately without other steps of preparation or pre-treatment.


Various methods have been reported in the literature for determining the levels of all fungal species in a sample, for example, amplification (e.g., by PCR) and sequencing of fungal polynucleotide sequence by using the Internal transcribed spacer 2 (ITS2) sequence. On the other hand, the level of any given fungal species may be determined by amplification and sequencing of its signature 18S rRNA sequence. A percentage abundance is often used as a parameter to indicate the relative level of a fungal species in a given environment.


III. Methods for Improving FMT Efficacy

The discovery by the present inventors revealing the direct correlation between an elevated level of C. albicans in FMT donor or recipient and reduced efficacy of FMT treatment not only allows one to devise an initial screening process to identify appropriate donors and recipients for the FMT procedure, it also enables different methods for improving FMT efficacy by reducing the level of C. albicans in a donor and in a recipient prior to the FMT treatment.


As discussed in the above section, when a candidate donor's stool is tested and found to contain an elevated level of C. albicans (e.g., greater than 0.1% of total fungi), the candidate is deemed as unsuitable as an FMT donor, and his stool should not be taken for use in FMT as it is unlikely to result in a successful FMT treatment if used. Similarly, when a patient or proposed FMT recipient whose stool is tested and found to contain an elevated level of C. albicans (e.g., greater than 10% of total fungi), the patient is deemed as an unsuitable recipient for FMT, and he should not immediately undergo FMT due to the high probability of an ineffective outcome. Yet these cases of expected unsuccessful treatment outcome can be readily improved in view of the inventors' discovery.


First, for a patient who has been considered for receiving FMT but who has also been deemed an unsuitable recipient of FMT due to an elevated level of C. albicans (e.g., above 10% of total fungi) found in his/her stool sample, which indicates a diminished chance of a successful FMT, measures can be taken to lower his/her level of C. albicans before FMT is commenced so that a much greater efficacy can be achieved for the FMT procedure. For instance, an antifungal agent capable of suppressing the growth or proliferation of C. albicans can be administered to the patient in an effective amount such that the level of C. albicans in the patient's digestive track and in the feces is significantly reduced (e.g., no more than 10% of total fungi) prior to the start of the FMT procedure. In this case, the patient's C. albicans level is to be determined twice: once at the initial screening stage, a second time after the initial level is deemed too high for an effective FMT and after an antifungal agent has been given to the patient. Once the C. albicans level is confirmed as lowered to a percentage that would allow satisfactory FMT outcome, the patient is then ready to undergo FMT treatment.


Second, for a candidate who has been deemed improper to serve as an FMT donor due to a higher level of C. albicans in his stool, the expected undesirable FMT outcome can be remedied by treating the candidate donor with an effective amount of an antifungal agent capable of suppressing the growth or proliferation of C. albicans can be administered. Since the donor's body, especially the gastrointestinal track, contains a vast collection of microorganisms many of which are important for the health of gut microflora and for the success of FMT, a useful antifungal agent for this purpose cannot be a broad-spectrum fungicide. Rather, it should be an agent that narrowly and precisely targets the species of C. albicans without significantly affecting other fungal species, including those closely related to C. albicans. Although the agent may be of any chemical compound in nature, small polynucleotides (e.g., siRNAs, miRNAs, miniRNAs, lncRNAs, or antisense DNAs/RNAs) may be the most effective in achieving the specific task of disrupting the expression of one or more key genes in the life cycle of C. albicans so as to specifically inhibit the proliferation of the target species only without significant impact on other closely related fungal species.


Immediately upon completion of FMT procedure, the recipient may be further monitored by continuous testing of the level of C. albicans in the stool samples on a daily basis for up to 5 days post-FMT while the clinical symptoms of the condition being treated are also being monitored in order to assess FMT outcome and the corresponding C. albicans level in the recipient.


IV. Kits and Compositions for Improved FMT

The present invention also provides novel kits and compositions that can be used for improving FMT efficacy. For example, in a kit for treating a patient in need of FMT, a first composition intended for transplantation into a patient or FMT recipient and a second composition intended to be administered to the recipient for reducing the level of C. albicans in the recipient. The first composition comprises a fecal material from a donor, which has been processed, formulated, and packaged to be in an appropriate form in accordance with the delivery means in the FMT procedure, which may be by direct deposit in the recipient's lower gastrointestinal track (e.g., wet or semi-wet form) or by oral ingestion (e.g., frozen dried encapsulated). The second composition comprises an antifungal agent capable of suppressing the growth/proliferation of C. albicans, which may be a broad-spectrum fungicide or a specific inhibitor of the C. albicans species, and one or more pharmaceutically acceptable excipient. The composition is formulated for the intended delivery method of the antifungal agent, for example, by injection (intravenous, intraperitoneal, intramuscular, or subcutaneous injection) or by oral ingestion or by local deposit (e.g., suppositories). The first and second compositions are often kept separately in two different containers in the kit. Typically, the kit will further include printed material providing detailed instructions for users of the kit, such as providing information of the schedule and dosing arrangement for administering the first and second compositions to a recipient.


In another aspect of this invention, alternative compositions useful in FMT with improved efficacy may be devised to contain at least these two components: (1) a donor stool material containing live fecal microorganisms, and (2) an antifungal agent that specifically suppresses the growth or proliferation of C. albicans but exhibits no such suppressive or inhibitory effect against other fungal species. Component (2) preferably is not a broad-spectrum fungicide; rather, it should be a specific anti-C. albicans agent. For example, it may be short polynucleotide in nature of, e.g., a small inhibitory RNA, microRNA, miniRNA, lncRNA, or an antisense oligonucleotide, that is capable of disrupting the expression of at least one key gene in the life cycle of C. albicans, such that the agent is capable of specifically targeting the species only without significantly affecting other closely related fungal species. Component (2) is particularly useful in the case of a donor's stool containing a level of C. albicans too high to permit a satisfactory FMT outcome, as it is capable of locally and specifically suppressing the proliferation of C. albincans so as to ensure the success of FMT despite the less than desirable quality of the donor fecal material.


EXAMPLES

The following examples are provided by way of illustration only and not by way of limitation. Those of skill in the art will readily recognize a variety of non-critical parameters that could be changed or modified to yield essentially the same or similar results.


Example 1
Introduction

Fecal microbiota transplantation (FMT) is effective in treating recurrent Clostridium difficile infection (CDI) and is increasingly being utilized in other human diseases. Whilst bacteria colonization in recipients after FMT has been established, little is known of the role of the gut mycobiota. In this study the present inventors show gut fungal dysbiosis in CDI and identify that donor-derived fungi colonization in recipient is associated with FMT response. Mycobiota profiling in CDI reveals over-presentation of C. albicans and decreased fungal diversity, richness and evenness compared with healthy controls. Cure after FMT was observed when donor-derived fungal taxa predominated in recipients' mycobiota. FMT responders display a high prevalence of Saccharomyces and Aspergillus whilst non-responders and individuals treated with antibiotics display a dominant presence of Candida. High abundance of C. albicans in recipient before FMT and in donor stool nullifies FMT efficacy in eradicating CDI. Furthermore, C. albicans compromises FMT efficacy in a mouse model of CDI, while anti-fungal treatment reestablishes its efficacy. This study furthers the knowledge of human gut mycobiota dynamics and their contribution to FMT, and it enables an understanding of personalized donor-recipient selection in future FMT studies for various human diseases.


The past decade has witnessed an increasing use of fecal microbiota transplantation (FMT) as a promising treatment option for several diseases 1-3, yet success rates are variable with a cure rate of 85-90% in recurrent Clostridium difficile infections (CDI)3-5 and a response rate of 30-40% in inflammatory bowel disease6-8. Such variations may be related to disease traits, recipient factors or donor characteristics. The mechanisms underlying a successful FMT and its relationship with gut microbial profiles in donor-recipient pairs remain elusive. To date, the efficacy of FMT has been mostly ascribed to the restoration of the bacterial microbiota and a sustained co-existence of donor and recipient bacterial strains9-12. Recently, bacteriophages have been shown to be altered in CDI after FMT and these changes were associated with treatment outcome 13-15. The human gastrointestinal tract is also colonized by a large population of fungi, collectively referred to as the mycobiota, which play an important role in human health16,17. Gut mycobiota contribute to normal human physiology and in some cases can recapitulate the benefit of intestinal bacteria via regulating host immunity and maintaining intestinal homeostasis16,17,18. Whether donor-derived mycobiota can colonize a recipient host, the fate of donor and recipient mycobiota after FMT and their relationship with treatment outcomes are unknown. The inventors performed internal transcribed spacer 2 (ITS2) and 16S rDNA sequencing in FMT-treated subjects with CDI to explore the effects of FMT on the gut mycobiome in association with treatment outcome. A proof-of-causality study was conducted in C. difficile-infected mice to confirm the role of gut mycobiota in FMT response.


Results
Gut Fungal Dysbiosis in CDI

The fecal mycobiomes were compared between 31 CDI subjects and 23 healthy controls. There was a significant decrease in fungal diversity, evenness and richness in CDI compared with controls (Mann-Whitney test, p=0.0120, 0.0309, and 0.0043, respectively, FIG. 1a). The fungal communities of CDI subjects were significantly separated from those of healthy controls at the OTU level (based on Bray-Curtis distance, adonis test p=0.003, FIG. 1b). At the phylum level, Ascomycota was expanded in CDI compared with controls (Mann-Whitney test, p=0.0083, FIG. 1c). At the species level, 17 fungal species were found to be differentially present between CDI and controls (LefSe analysis with FDR adjusted q<0.05, FIG. 1d). Amongst these species, only C. albicans was significantly enriched in CDI (FIG. 1d, e, Mann-Whitney test, p=0.0080), whereas 16 other species were enriched in controls. In line with the observation at the species level, more taxa were enriched in controls than in CDI, as determined by LefSe analysis (9 versus 1 at the order level, 15 versus 2 at the family level, 16 versus 1 at the genus level, Table 2). Altogether, these data indicate dysbiosis of the enteric mycobiota in patients with CDI.


Over-presentation of C. albicans in absolute abundance in CDI was confirmed through quantitative PCR (FIG. 5a). Antibiotic use has been shown to be a major contributor to the development of CDI by decreasing bacterial colonization resistance. The effect of antibiotics on C. albicans levels in CDI was further assessed. Stool samples were collected from new consecutive CDI patients, including 12 CDI patients with antibiotics exposure, 12 CDI patients with no antibiotics exposure at inclusion, and 17 healthy controls. Significantly higher levels of fecal C. albicans were found in CDI subjects exposed to antibiotics at inclusion, compared with controls (FIG. 5b, Mann-Whitney test, p=0.0131). C. albicans levels were also significantly higher in CDI subjects not exposed to antibiotics at inclusion when compared with controls (FIG. 5b, Mann-Whitney test, p=0.0469). These data indicate that both CDI and antibiotics are contributors to increased levels of C. albicans.


Donor fungi colonization in recipient is associated with FMT response


It was then explored whether FMT leads to colonization of donor-derived fungi and its association with treatment efficacy. Changes in the gut mycobiomes of recipients after FMT were monitored at multiple time points in 16 CDI subjects, using pre-FMT samples of each donor-recipient pair as a baseline for FMT (FIG. 6). Amongst 16 CDI subjects treated with FMT, nine remained symptom-free with a negative stool C. difficile toxin at the last follow-up (termed responders, FMT1-FMT9), whilst seven developed recurrence of CDI (termed non-responders, FMT10-FMT16) (Table 1). It was next investigated whether donor-derived fungi and bacteria in recipients may influence FMT outcomes. Subjects who responded to FMT demonstrated a larger proportion of fungal and bacterial OTUs that were transferred and predominated in the feces of recipients after FMT, compared to those who did not respond (Mann-Whitney test, p=0.0068 and 0.0164 respectively for comparison of donor-derived fungal and bacterial OTU ratios in recipients, FIG. 2a, b). The community structure at the genus level showed a higher abundance of the genera Aspergillus and Penicillum in FMT responders than in non-responders (FIG. 2c). In contrast, the genera Candida and Simplicillium were significantly enriched in FMT non-responders. Analogously, a similar pattern was observed at the bacterial community structure. FMT responders displayed bacterial abundance resembling that of the donor, whereas FMT non-responders showed inadequate abundance of donor-enriched bacteria at the last follow-up post FMT (FIG. 7). Of note, in recipients FMT12 and FMT16, bacterial configurations at the last follow-up after FMT were similar to that of healthy controls, but their gut mycobiota configurations differed significantly from that of healthy controls. These data indicate that restoration of the gut mycobiota is at least as important as, if not more than, restoration of the bacterial microbiota in CDI recipients. Taken together, these data indicate that the final proportion of donor-derived fungal and bacterial taxa and alterations of the fecal fungal composition in the recipient post FMT were associated with treatment outcome of FMT.


FMT Alters the Gut Mycobiota Distinct from Antibiotic Treatment


CDI subjects who responded to FMT showed a significant increase in fungal richness and diversity (Wilcoxon matched-pairs singed rank test, p=0.0273 and p=0.0474 respectively, FIG. 3a, b). Although baseline bacterial diversity, evenness and richness were significantly lower in CDI subjects compared to controls (Mann-Whitney test, all p<0.0001, FIG. 6a), after FMT there was a significant increase in bacterial richness (Wilcoxon matched-pairs singed rank test, p=0.019) and a marginally significant increase (Wilcoxon matched-pairs singed rank test, p=0.098) in bacterial diversity in FMT responders. During post-FMT follow-up, there were profound differences in the gut mycobiota configurations across different donor-recipient pairs, however a significantly higher prevalence of the genus Candida was observed across the serial post-FMT fecal samples of FMT non-responders relative to that of responders (FIG. 3c, d). In contrast, the genera Saccharomyces and Aspergillus were present in higher abundances in FMT responders than in non-responders (FIG. 3c, d). Discriminative analysis identified disparately presented taxa between post-FMT samples of FMT responders and non-responders, at the genus and species levels (FIG. 3d). C. albicans was the most prominent species enriched after FMT in non-responders.



C. albicans markedly decreased after FMT (Wilcoxon matched-pairs singed rank test, p=0.0458, FIG. 3d, e). Interestingly, both the abundance of C. albicans in donor feces and in post-FMT recipient fecal samples were associated with FMT treatment outcome. FMT recipients transplanted with a donor feces with C. albicans<0.1% in the fungal community achieved a response to FMT treatment, compared to those transplanted with a donor feces with C. albicans>0.1% (Chi-square test p=0.049, FIG. 3f). Recipients with an initial high abundance of C. albicans before FMT and continuing to have a relative abundance of C. albicans>10% after FMT all experienced a disease recurrence after FMT (Chi-square test p=0.029, FIG. 3g). These data indicate that the presence of C. albicans compromises FMT efficacy. The absolute abundance of C. albicans (in fecal input DNA) was markedly decreased after FMT in FMT responder group (Wilcoxon matched-pairs singed rank test, p=0.0391, FIG. 16). Interestingly, FMT non-responders exhibited significantly higher post-FMT fecal C. albicans levels in absolute abundance than FMT responders [Mann-Whitney test, p=0.0018, Log10 transformed effect size 3.05 (95% CI: 1.48-4.29), FIG. 16], indicating C. albicans can be a marker for disease recurrence and/or pathogenesis.


The effect of antibiotics on the gut mycobiota was also assessed across longitudinal time-points in 8 CDI subjects treated with vancomycin (STD treatment, FIG. 6, Table 1). Five of the eight subjects remained symptom-free with a negative stool C. difficile toxin at the last follow-up (termed responders, STD1-STD5), while three developed recurrence of CDI (termed non-responders, STD6-STD8). Unlike FMT, vancomycin induced inconsistent alterations in the fungal richness and diversity during longitudinal follow-up (FIG. 9a, b). There was no significant difference in the fungal richness or diversity between STD responders and non-responders after FMT, although vancomycin resulted in a significant increase in bacterial diversity in responders after FMT (FIG. 10, Wilcoxon matched-pairs singed rank test, p=0.0198).


FMT and vancomycin led to an increase in the gut fungal diversity in 81.3% (13 out of 16) and 37.5% (3 out of 8) of CDI subjects, respectively (Chi-square test p=0.032, FIG. 8c), and an increase in the gut fungal richness in 68.8% (11 out of 16) and 37.5% (3 out of 8) of CDI subjects, respectively (FIG. 8c). FMT responders showed a significantly higher fold-change post FMT in both fungal richness and fungal diversity compared to STD responders (Mann-Whitney test p=0.019 and Chi-square test p=0.05 respectively, FIG. 8d, e). Collectively, these data indicate that FMT may be more influential in orchestrating the gut mycobiota than antibiotics.


Taxonomical analysis was performed to further elaborate the effect of antibiotics on the fungal community and to discern differences between FMT and antibiotics in modulating the gut mycobiota. After vancomycin treatment, fungal compositions exhibited similar configurations during follow-up across STD subjects, with a marked expansion of the genus Candida (FIG. 8f). To define differentially enriched fungal taxa between subjects who responded to FMT and vancomycin, we implemented LefSe analysis across all follow-up samples of treatment responders. FMT treatment enriched the genera Saccharomyces and Cryptococcus in those who responded, whereas vancomycin disparately enriched a panel of fungal genera in STD responders after treatment, which included Candida, Talaromyces, Erythrobasidium, Periconia, Stemphylium, Ganoderma (FIG. 11). At the family level, FMT caused an enrichment of Saccharomycetacean and Herpotrichiellaceae, while vancomycin caused an enrichment of Intertae sedis (FIG. 11). There was no statistically significant difference in the relative abundance of C. albicans between STD responders and non-responders, however a decrease in C. albicans was seen in STD responders after vancomycin treatment (FIG. 12). Subject STD7 who had a post-STD relative abundance of C. albicans>10% developed CDI recurrence after vancomycin treatment, further substantiating the importance of alleviation of C. albicans for eradicating CDI.


Trans-kingdom Interactions Between Gut Mycobiota and Bacterial Microbiota are Associated with Treatment Outcome


To characterize the ecological network of the gut mycobiota and bacterial microbiota, the correlation of the a-diversity (diversity, evenness and richness) of the fungal community with that of the bacterial community was evaluated. Among the post-treatment samples of FMT responders, significant positive correlations were found between fungal diversity and bacterial diversity, and between fungal richness and bacterial diversity, evenness, and richness (Spearman's correlation, permutation test, P<0.05, FIG. 13). In the post-treatment samples of FMT non-responders and STD responders, the correlation between bacterial and fungal communities showed a depletion of correlations between fungal richness and other bacterial and fungal α diversity indexes. The correlations were completely abolished across the post-treatment samples of STD non-responders. The correlations of fungal genera with bacterial genera were further assessed in controls and CDI subjects in association with treatment response. Significant inverse correlations between control-enriched bacteria, including butyrate-producing Roseburia, and CDI-enriched Candida were observed in FMT responders and STD responders after treatment, paralleling a prevalence of positive correlations between control-enriched bacteria and control-enriched fungi among which correlation of Roseburia and Aspergillus was present in both FMT responders and STD responders (FIG. 14). However, those who did not respond to either FMT or STD displayed an apparent contraction in the number of fungal-bacterial correlations after treatment, compared to FMT responders and STD responders. These data suggest the importance of restoration of an intricate and homeostatic fungal-bacterial ecosystem in maintaining treatment response.



C. albicans Compromises FMT Efficacy in a Murine Model of CDI



C. albicans was the most prominent species associated with treatment failure of FMT in CDI, suggesting a possible causal relationship. This assumption is further supported by reports whereby CDI recurrence was observed after antibiotics treatment3,19, as antibiotics contribute to the expansion of Candida. To determine the causal relationship between C. albicans and response to FMT, the efficacy of FMT in eliminating C. difficile was assessed using a C. difficile induced-diarrhea murine model in three groups of mice: (i) mice infused with human stool preparation, (ii) mice colonized with C. albicans then infused with human stool preparation, and (iii) mice infused with human stool preparation supplemented with C. albicans during fecal transplantation (FIG. 4a). FMT was effective in ameliorating diarrhea, intestinal inflammation, and decreasing C. difficile burden, compared to CDI group, while no difference in C. difficile load was observed among all groups before FMT (FIG. 4b-d). However, mice that was colonized with C. albicans prior to FMT or those infused with donor stool supplemented with C. albicans suffered significant diarrhea, intestinal inflammation, and augmented C. difficile burden post FMT, when compared with mice administered with a single infusion of human stool (FIG. 4b-d). There were high levels of C. albicans in these recipient mice on day 1 post FMT, though a decrease in C. albicans load was observed after FMT in mice colonized with C. albicans prior to FMT (FIG. 4e). An anti-fungal agent, fluconazole, to eradicate C. albicans in a group of recipient mice prior to human stool infusion (FMT) (FIG. 15a). C. difficile load was then compared after human stool infusion between mice with and without anti-fungal treatment. Anti-fungal treatment in recipient mice colonized with C. albicans before human stool infusion restored the efficacy of FMT in clearing C. difficile infection (FIG. 15b). These data demonstrate that the existence of C. albicans, either in the recipient or in the donor, negates the efficacy of FMT in clearing C. difficile, while antifungal treatment reestablishes its efficacy. These results highlight that persistent fungal dysbiosis with aberrant presence of C. albicans can confer an unfavourable FMT outcome in CDI.


Total Fungal Load is Increased in CDI

The total fecal fungal load was significantly higher in CDI than in controls [Mann-Whitney test, p=0.0004, Loglog transformed effect size 1.32 (95% CI: 0.62-1.97), FIG.17].


Total Fungal Load and C. albicans in Inflammatory Bowel Disease (IBD)


The total fecal fungal load was significantly higher in patients with IBD, including patients with Crohn's disease (CD) and Ulcerative colitis (UC)—two subtypes of IBD, than in controls (Mann-Whitney test, p=0.0003, p=0.0225, respectively, FIG. 18a). The fecal presence ratio of C. albicans is higher in CD than in controls, and 3 CD patients exhibiting the highest C. albicans levels had a history of recent exposure to antibiotics (FIG. 18b).


Total Fungal Load is Increased in Irritable Bowel Syndrome (IBS)

The total fecal fungal load was significantly higher in IBS than in controls [Mann-Whitney test, p=0.0237, FIG.19].


Bacterial Alterations in CDI after FMT in Association with FMT Outcome


The present inventors explored the composition of the bacterial microbiota after FMT in relation to FMT outcomes, at various taxonomic levels (FIG. 20). Actinobacteria, Bacteroidetes (phylum-level taxa), Lachnospiraceae, Clostridiaceae, and Ruminococcaceae (family-level taxa), Clostridium, Blautia, and Faecalibacterium (genus-level taxa) were significantly more enriched in FMT responders than in non-responders after FMT. However, bacteria from the phylum Proteobacteria were more abundant in FMT non-responders relative to FMT responders. FMT responders displayed bacterial abundances resembling that of the donor, whereas FMT non-responders showed inadequate relative abundances of donor-enriched bacteria at the last follow-up after FMT (FIG. 20c). LefSe analysis on the fecal bacteriomes of donors at the genus level identified Escherichia and Proteus as the differentially enriched genera in FMT responders' donor stool and in FMT non-responders' donor stool respectively (LDA effect size 2.58 and 2.35, FDR adjusted q=0.017 and 0.006, respectively).


Discussion

This is the first study to characterize the gut mycobiota in CDI and to elucidate mycobiota alterations after FMT in relation to treatment outcome. Patients with CDI showed enteric fungal dysbiosis. Importantly, disease recurrence after FMT was associated with several important findings including persistent fungal dysbiosis, low levels of donor-derived fungal colonization, high abundance of C. albicans in the recipient stool before FMT and the presence of C. albicans in the donor stool. The observations that disease cure requires both fungal and bacterial colonization from the donor provides new and important insights into the potential therapeutic importance of the gut mycobiota in treatment outcome in FMT, beyond the bacterial microbiota. These data also highlight a new concept in FMT that the abundance of fecal C. albicans both in recipient before treatment and in donor are critical components when considering implementation of FMT. Integration of more in-depth mycobiota analysis in donor-recipient pair may lead to personalized and targeted gut microbial therapy in the future.


Although studies of the gut mycobiota have lagged behind that of the gut bacterial microbiota, fungi are increasingly being considered as important players of the gut and interactions between pathogenic and commensal fungal and bacterial communities are crucial in the maintenance of human health and disease pathogenesis16. Furthermore, disruption of the gut mycobiota has deleterious effect on host immunity17. Despite high interpersonal variability of the gut mycobiota in patients with CDI, there was a significant expansion of the genus Candida and the species C. albicans. Interestingly, FMT induced an increase in the genus Saccharomyces along with a marked contraction of Candida and C. albicans after FMT in treatment responders, while recipients who demonstrated high abundance of C. albicans in the stool after FMT (10%) or those whose donor had a high abundance of (0.1%) of C. albicans were more likely to have disease recurrence after FMT. Over-presentation of C. albicans in the recipient stool after FMT may largely contribute to treatment failure.


The role of fungal commensals in educating the human immune system has gained new appreciation in intestinal disease. In the steady state, bacterial communities keep fungi in check in the gut. Fungi are major causes of infections among immunocompromised or hospitalized patients with serious underlying diseases and comorbidities. Candida species remain the most important cause of opportunistic infections worldwide, affecting predominantly elderly patients20. Candidalysin was recently unveiled as a fungal toxin from C. albicans critical for mucosal infection21. Commensal bacteria inhibit C. albicans colonization through activation of HIF-1α and LL-3722. Antibiotic treatment selectively and effectively eradicates the bacterial community but consequently leads to fungal outgrowth, particularly the Candida species23,24. Antibiotics or immunosuppressants are effective in the short term but they likely compromise the immune system in the longer term. A compromised immune system creates a more favourable environment to expansion of Candida and overgrowth of Candida can alter the recovery of the gut bacterial microbiota after cessation of antibiotic treatment 25,26. In this study, the over-presence of Candida species in recipients might account for the high failure rate of FMT in CDI. In DSS-induced colitis mouse model as well as patients with inflammatory bowel disease (IBD), C. albicans and Candida were significantly enriched27-29. Antifungal treatment decreased Candida prevalence and ameliorated inflammatory responses in DSS colitis mice29. However, disruption of fungal communities by long-term use of antifungals aggravated severity of DSS colitis and allergic airway30. Collectively, these data implicate the importance of the gut fungal-bacterial homeostasis in host health. These data suggest that the establishment of a balanced gut fungal and bacterial community via FMT is important to eradicate CDI, as FMT non-responders showed abrogated fungi-bacteria correlations in a-diversity and taxa when compared with responders.


In conclusion, gut mycobiota alterations may determine treatment outcome in FMT. The persistence of fungal dysbiosis, particularly the presence of C. albicans, can incur CDI recurrence. The findings disclosed herein highlight the importance of both “optimal” donor selection and pre-FMT eradication of C. albicans in recipient during FMT practice, where future FMT therapy should incorporate detailed characterization and stratification of both donor and recipient fecal mycobiomes. These results provide a framework for future investigations into the contribution of donor/recipient mycobiota profiles and gut fungi-bacteria interactions in FMT treatment for various human diseases.


Methods

Study subjects and treatment outcome


The current study was a sub-study from a randomised controlled trial (RCT) of FMT versus vancomycin (standard therapy, STD) for patients with CDI. Consecutive CDI subjects enrolled into this randomised controlled trial were invited to participate in a substudy of assessment of fecal microbiota. Patients were included if they had three or more loose or watery stools per day for at least two consecutive days or eight or more soft or loose stools in 48 hours and a positive stool test for C. difficile based on a two-step testing algorithm in our hospital, a positive GDH (Glutamate dehydrogenase) screening test followed by a positive polymerase chain reaction (PCR) test of C. difficile. A total of 31 subjects with CDI and 24 healthy household controls were recruited and stool samples at baseline were obtained for analyses of fungal and bacterial microbiomes. Among them, 24 CDI subjects consented to have stool samples collected serially after treatment for microbiome analysis. 16 CDI subjects were treated with FMT and 8 were treated with vancomycin, and they were followed up at baseline and at weeks 2, 4, 10 and 16 after treatment (FIG. 6). Subjects in the FMT group received 5 days of vancomycin followed by donor infused stool via nasojejunal route and those who had STD received oral vancomycin 500 mg orally four times per day for 10 days. A computer-generated randomization schedule was used to assign patients to the treatment sequences. All patients kept a stool diary and were questioned about stool frequency and consistency and medication use.


Treatment response was defined as an absence of diarrhea or persistent diarrhea that could be explained by other causes with a negative stool test for C. difficile toxin, while relapse was defined as diarrhea with a positive stool test for C. difficile toxin. Treatment cure is defined as symptom resolution and a negative Clostridium difficile toxin in stool until the last follow-up (last follow-up is referred to as the last stool collection time point, as shown in FIG. 6). 9 of the 16 subjects who had FMT (FMT1-FMT9), and 5 of the 8 patients (STD1-STD5), who had vancomycin were cured of CDI (termed responders, Table 1) at a median follow-up of 16 weeks. CDI recipients FMT11 and FMT12 shared the same donor, and this donor was termed “Donor11”. Clinical data of the subjects and collected stool samples are shown in Table 3. None of the patients had received antibiotics or proton pump inhibitors after FMT.


Study design


Patient inclusion criteria:


1. C. difficile infection was defined as diarrhea (≥3 soft, loose or watery stools per day for at least 2 consecutive days or ≥8 soft or loose stools in 48 hours) and a positive stool test for C. difficile toxin; and


2. Age≥18; and


3. Written informed consent obtained


Patient exclusion criteria:


1. The presence of human immunodeficiency virus (HIV) infection with a CD4 count of less than 240


2. Pregnancy


3. GI Bleeding


4. Acute coronary syndrome


Donor screening:


Donors included individuals who are spouses or partners, first-degree relatives, other relatives, friends, and individuals unknown to the patient. They were screened with a questionnaire and excluded if they had taken antibiotics within the preceding 3 months; were on major immunosuppressive agents, including chemotherapeutic agents; had known or recent exposure to HIV, hepatitis B or C; had a current communicable disease; participated in high-risk sexual behaviors; used illicit drugs; traveled within 6 months to areas with endemic diarrheal illnesses; or had history of inflammatory bowel disease, irritable bowel syndrome or chronic diarrhea, gastrointestinal malignancy or polyposis. In addition, donor was screened for HBsurface Ag, Anti-HBc, Anti-HCV, Anti-HIV, Syphilis EIA, stool microscopy, culture and sensitivity, stool cyst, ova, parasite, norovirus and C. difficile (cytotoxin and PCR assay). All subjects and collected stool samples are listed in Table 1.


The donors for the FMT group were healthy household controls and the donor stool samples analyzed were the same samples used for FMT. All subjects provided written informed consent.


Family members provided donor stool for subjects randomised to FMT arm. Cure after FMT or vancomycin therapy was defined as symptom resolution and negative Clostridium difficile toxin in stool at last follow-up by PCR assay. Relapse was defined as diarrhea with a positive stool test for C. difficile toxin.


This was a randomised but not blinded study. However for mycobiome and bacterial microbiome analyses on stool samples, assessments were initially performed by analysts who were blinded to the clinical outcome of the studied subjects. When the profiled mycobiome and bacterial microbiome data were available for each individual subject, correlation was then made to associate microbiome profiles with treatment outcomes of subjects.


Infusion of Donor Stool

In subjects who received FMT, a nasoduodenal tube was inserted with radiology guidance. Donor feces was diluted with 500 ml of sterile saline (0.9%), blended and the supernatant was strained with filter paper and poured in a sterile bottle. Within 6 hours after collection of feces by the donor, the solution was infused through a nasoduodenal tube (2 to 3 minutes per 50 ml). The tube was removed 30 minutes after the infusion, and patients were monitored for 2 hours. In subjects with received FMT, a minimum of 50g of donor stool was collected on the same day of infusion and used within 6 hours of collection.


Fecal DNA Extraction

Fecal DNA was isolated as described below. 100 mg fecal sample was pre-washed with 1 ml ddH2O and pelleted by centrifugation at 10,000×g for 1 minute. The fecal pellet was re-suspended in 800 μl TE buffer (pH 7.5), supplemented with 1.6 μl 2-Mercaptoethanol and 500 U lyticase (Sigma), and incubated at 37° C. for 60 min. The sample was then centrifuged at 10,000×g for 2 minutes and fecal DNA was subsequently extracted from the pellet using ZR Fecal DNA miniPrep kit (Zymo Research, Orange, Calif.) according to the protocol. Briefly, fecal pellet was added to the BashingBeadLysis Tube with 750 μl Lysis solution, and then processed at maximum speed for 10 minutes. The lysates were centrifugeed at ≥10,000×g for 1 minute. The supernatant was transferred to a Zymo-Spin™ IV Spin Filter in a collection tube and centrifuged at 7,000×g for 1 minute. About 1,200 μl of fecal DNA binding buffer was added to the filtrate in the collection tube, followed by concentration and purification in a new filter tube. Finally, a total of 50 μl eluted DNA with a concentration at 20-100 ng/μl was prepared for each sample.


Fungal ITS2 Sequencing and Quality Control

The final fecal DNA for fungal sequencing was amplified based upon ITS2 (Internal transcribed spacer 2) region using primers as below and PrimeSTAR HS DNA Polymerase kit (TaKaRa, Japan). The primer pairs are ITS2-F: 5′-GCATCGATGAAGAACGCAGC-3′, ITS2-R: 5′-TCCTCCGCTTATTGATATGC-3′. ITS2 amplicons were generated with 38 cycles of 3-step PCR: 98° C. 10 s, 59° C. 10 s, and 72° C. 30 s. PCR samples were then sequenced on the Illumina MiSeq PE300 platform (2×300 bp, BGI, China), 151,524±97,694 (number±SD) clean sequences obtained on average (sequence statistics in Table 4).


Raw reads were filtered by SOAPnuke (v 1.5.3) (web site: soap.genomics.org.cn/) developed by BGI as follows: (i) adaptors removed, (ii) read removed if N base is more than 3% of the read, (iii) read removed if bases with quality low than 20 were more than 40% of read, (iv) all duplicates removed. Quality control and data analysis were further implemented in PIPITS (v 1.4.5)31. Briefly, PIPITS_PREP prepares raw reads from Illumina MiSeq sequencers for ITS extraction; PIPITS_FUNITS extracts ITS2 from the reads; and PIPITS_PROCESS analyses the reads to produce operational taxonomic unit (OTU) abundance tables and the RDP taxonomic assignment table for downstream analysis. The quality trimmed and ITS2 extracted reads were aligned to fungi UNITE database exploiting RDP classifier 2.10 for taxonomic assignment to produce operational taxonomic unit (OTU) abundance table (based on sequence identity≥97% identity) and phylotype abundance tables at different taxonomic levels, for downstream analysis.


The fungal OTU and phylptype abundance data were imported into R 3.2.3. Richness, diversity, and evenness calculation were performed using the estimated richness function of the phyloseq package. Spearman correlation and their significance were calculated using the cor and cor.test functions in R, respectively. For the fungal-bacterial taxa comparisons, Spearman correlations were calculated for the relative abundance of the differentially presented fungal taxa and the bacterial taxa determined to be significantly associated with disease by Lefse analysis. Correlation plots were generated using the corrplot package in R. Heat maps were generated using the pheatmap package in R.


Quantitative PCR for Detection of C. albicans in Human Fecal DNA Samples



C. albicans loads in human stools were quantified by qPCR analysis (SsoAdvanced SYBR Green Supermix, Bio-Rad) of extracted human fecal DNA using C. albicans specific primers: C. albicans-F 5′-CCTGTTTGAGCGTCGTTTCTC-3′; C. albicans-R 5′-TTTGGTTAGACCTAAGCCATTGTCA-3′. C. albicans abundance was determined using standard curves constructed with reference genomic DNA (gDNA) of C. albicans.


Quantitative PCR for Detection of Total Fungal Load in Human Fecal DNA Samples

Total fungal loads in human stools were quantified by TaqMan qPCR analysis (Premix Ex Taq™, TaKaRa) of extracted human fecal DNA using primers36: Fungi-quant-F 5′-GGRAAACTCACCAGGTCCAG-3′; Fungi-quant-R 5′-GSWCTATCCCCAKCACGA-3′, and probe: 5′-TGGTGCATGGCCGTT-3′.


LEfSe Linear Discriminant Analysis

To compare differences in the configurations of fungal and bacterial microbiomes between CDI patients and healthy controls, between FMT responders and non-responders, between FMT treatment and vancomycin (STD) treatment, Lefse analyses were performed on the Huttenhower lab Galaxy server (web site: huttenhower.sph.harvard.edu/galaxy/) by importing the viral and bacterial relative abundance values and associated sample metadata, with FDR adjusted p value<0.05 considered significant and effect size calculated.


Calculation of Donor Transferred OTUs in Recipients

In samples after FMT, if a fungal or bacterial OTU was not present in the recipient baseline sample but present both in the corresponding donor baseline sample and in the recipient post-FMT sample, the OTU was defined as “donor derived”; if an OTU was not present in the corresponding donor baseline sample but detected both in the recipient baseline sample and in the recipient post-FMT sample, the OTU was defined as “recipient exclusive”; if an OTU was present across the recipient baseline sample, the recipient post-FMT sample and the corresponding donor baseline sample, the OTU was defined as “donor-recipient co-existed.”


Bacterial 16S rRNA Sequencing and Data Analysis


The final fecal DNA samples were subject to bacterial 16S rRNA V4 region amplification and sequenced on the Illumina MiSeq PE250 platform (2×250 bp, BGI, China), 132,081±65,429 (number±SD) sequences obtained on average (sequence statistics in Table 5). Quality control and data analysis were implemented in mothur (v 1.38.0) as previously described32. Any sequences with ambiguous bases and anything longer than 275 bp were removed, and aligned against the non-redundant Greengenes database (v 13.8)33 using the NAST algorithm. Any sequences that failed to align with the V3-4 region were discarded. The remaining sequences were trimmed to the same alignment coordinates over which they fully overlapped, followed by removal of homopolymers and detection for the presence of chimeras by UChime.


The resulting sequences were classified against the Greengenes database and annotated with deepest level taxa represented by pseudo-bootstrap confidence scores of at least 80% averaged over 1,000 iterations of the naive Bayesian classifier. Any sequences that were classified as either being originated from archaea, eukarya, chloroplasts, mitochondria, or unknown kingdoms, were removed. The annotated sequences were assigned to phylotypes according to their consensus taxonomy with which at least 80% of the sequences agreed. Closed reference operational taxonomic units (OTUs) sharing 97% identity were clustered as well and assigned taxonomy according to the Greengenes database. Lefse analysis was performed to define bacterial taxa associated with CDI and healthy controls. The relative abundance of these abundance-differential taxa identified by LefSe in pre-FMT baseline samples and post-FMT last follow-up samples were plotted using pheatmap R package.


Mouse Husbandry and Model of C. difficile Infection


Studies were conducted on 4- to 6-week old demale C57BL/6 that were reared in groups of 9. Individual mice were randomized after arrival. Mice were subjected to a previously described model of CDI34. Briefly, mice were given an antibiotic cocktail of kanamycin (0.4 mg/mL), gentamicin (0.035 mg/mL), colistin (850 U/mL), metronidazole (0.215 mg/mL), and vancomycin (0.045 mg/mL) (all antibiotics were purchased from Sigma-Aldrich, St. Louis, Mo.) in their drinking water for 3 days. Mice were then given 2 days of recovery before administration of 107 spores of C. difficile in PBS via oral gavage. Animal grouping and research scheme were designed as shown in FIG. 4a. On day 1 post stool infusion, diarrhea was evaluated by stool water content, calculated as stool weight loss after air drying at 70° C. for 4 hours. Colons were harvested, fixed in 4% formalin solution and embedded in paraffin. Sections were stained with hemotoxylin and eosin for histological assessment.


For antifungal experiment, animal grouping and research scheme were designed as shown in FIG. 15a. Mice was initially colonized with C. albicans (2×108 cfu per mouse) after 3 days of antibiotic cocktail treatment in the drinking water, followed by 4 days of fluconazole treatment supplemented in the drinking water (0.5 mg/mL, Sigma). Then the mice were subjected to C. difficile administration (107 spores per mice) through gavage after a consecutive 1.5-day antibiotic cocktail- and 1.5-day free water- drinking. Human stool infusion was performed 2 days later after C. difficile gavage. Both C. difficile load and C. albicans load were enumerated by cultivation on Day 0 before FMT and Day 1 after FMT.



C. albicans Administration and Donor Stool Infusion in Mice



C. albicans (10231, purchased from ATCC, USA) was administered to mice (2×108 cfu per mouse) via gavage after 3-day antibiotic treatment or supplemented in donor stool slurry at the time of donor stool infusion. Human stool from a healthy volunteer (Chinese, male, age 28 years), without presence of C. albicans as measured by qPCR, was obtained with informed consent. For stool microbiota infusions, approximately 500 mg of stool samples were cut in an anaerobic chamber and suspended in 5 ml of phosphate-buffered saline. Mice were colonized by oral gavage of 150 μl of fecal slurry with or without supplementation of C. albicans on day 2 after C. difficile challenge.


Quantification of C. difficile and C. albicans Burdens in Mouse Feces


Mouse stool were collected both before and after stool infusion. Fecal C. difficile and C. albicans burdens on day 0 before and day 1 after stool infusion were measured by cultivation. Samples were diluted in PBS and respectively plated on taurocholate cycloserine cefoxitin fructose agar (TCCFA) for quantification of C. difficile burden, on Sabouraud dextrose agar (SDA) for quantification of C. albicans load. Stool samples prior to C. albicans colonization from antibiotic-treated mice were plated on SDA to ensure that mice were C. albicans culture negative.


Data Availability

Sequence data and accompanying metadata have been deposited to the NCBI Sequence Read Archive under BioProject accession numbers PRJNA419097 and PRJNA419104.


Example 2

C. albicans Level Associated with Unfavorable FMT Outcome in IBD

The fecal C. albicans level was investigated in three IBD patients with concurrent CDI, and subsequently followed them up after FMT (FIG. 21). Disease symptoms were ameliorated soon after FMT. However, all three patients manifested unfavorable FMT outcomes at different time-points post FMT. In accordance with the finding for CDI patients, these IBD patients all showed increased fecal C. albicans levels after FMT. Taken into consideration the previous observation that C. albicans levels were also higher in IBD than in Controls (FIG. 18), it indicates that C. albicans may play an unfavorable role in IBD and IBD-FMT.


All patents, patent applications, and other publications, including GenBank Accession Numbers, cited in this application are incorporated by reference in the entirety for all purposes.















TABLE 1










Duration of
Outcome






Severe/
follow up
(till last


Subject
Sex
Age
Smoking
Moderate
(wks)
follow up)





















FMT1
M
80
Ex-smoker
Moderate
16
Cured


FMT2
M
52
No
Severe
27
Cured


FMT3
M
38
No
Moderate
17
Cured


FMT4
F
76
No
Moderate
18
Cured


FMT5
M
63
No
Severe
18
Cured


FMT6
M
88
No
Severe
23
Cured


FMT7
M
45



Cured


FMT8
M
90



Cured


FMT9
F
52



Cured


FMT10
M
45
Ex-smoker
Severe
20
Recurrence at week 19


FMT11
F
83
No
Moderate
11
Recurrence at week 5


FMT12
F
38
No
Severe
28
Recurrence at week 28


FMT13
M
81



Recurrence at week 2


FMT14
M
65



Recurrence at week 2


FMT15
F
90



Recurrence at week 4


FMT16
M
83



Recurrence at week 4


STD1
F
78
smoker
Severe
14
Cured


STD2
F
83
No
Severe
17
Cured


STD3
F
99
No
Moderate
26
Cured


STD4
F
85



Cured


STD5
F
92



Cured


STD6
M
88
Ex-smoker
Severe
20
Recurrence at week 12


STD7
M
93
No
Moderate
7
Recurrence at week 7


STD8
M
63



Recurrence at week 5
















TABLE 2







Order level lefSe analysis











enriched in
LDA effect



order
group
size
q value





o_Saccharomycetales
CDI
5.26234241
0.00141993


o_Incertae_sedis
Control
4.22542515
0.01743251


o_Ustilaginales
Control
4.64245919
0.01113039


o_Wallemiales
Control
3.86277202
0.02933565


o_Eurotiales
Control
5.02946522
3.45E−05


o_Trechisporales
Control
4.62024264
0.00835961


o_Agaricostilbales
Control
4.77590173
0.04495598


o_Mucorales
Control
3.94917134
0.00275496


o_Chaetothyriales
Control
3.96218634
0.03957291


o_unidentified
Control
4.43843789
0.0011891










Family level lefSe analysis











enriched in
LDA effect



family
group
size
q value





f_Incertae_sedis
CDI
5.361603211
0.00032083


f_Diatrypaceae
CDI
3.647432029
0.02396599


f_Lichtheimiaceae
Control
3.776192836
0.03565053


f_Marasmiaceae
Control
4.460718116
0.04495598


f_Cordycipitaceae
Control
3.018060628
0.01080346


f_Trichocomaceae
Control
4.998286724
3.71E−05


f_Monascaceae
Control
4.442880786
0.00806352


f_Ustilaginaceae
Control
3.308596392
0.01113039


f_Agaricostilbaceae
Control
3.637118408
0.04495598


f_unidentified
Control
4.382578512
0.00989125


f_Pichiaceae
Control
4.234924293
0.00153938


f_Rhizopodaceae
Control
3.759990223
0.03298649


f_Pleosporaceae
Control
4.266635541
0.04792052


f_Mucoraceae
Control
3.546579211
0.00818474


f_Eremotheciaceae
Control
3.514966042
0.01499872


f_Wallemiaceae
Control
3.255471141
0.02933565


f_Hydnodontaceae
Control
3.172134768
0.01944714










Genus level lefSe analysis











enriched in
LDA effect



genus
group
size
q value





g_Candida
CDI
5.382628239
0.00018873


g_Wallemia
Control
3.198526789
0.02933565


g_Trechispora
Control
3.55075498
0.01944714


g_Lentinula
Control
3.687563833
0.04495598


g_Alternaria
Control
4.061524753
0.00543258


g_Talaromyces
Control
3.815612518
0.04495598


g_Aspergillus
Control
4.856125262
8.75E−05


g_Pichia
Control
3.729764446
0.00177011


g_Thermomyces
Control
3.268072407
0.0138274


g_Rhizopus
Control
3.612096939
0.03298649


g_unidentified
Control
4.780192159
0.00077864


g_Simplicillium
Control
2.905283827
0.01080346


g_Monascus
Control
4.416347845
0.00806352


g_Mucor
Control
3.444062001
0.00818474


g_Penicillium
Control
4.397256252
7.64E-05


g_Sterigmatomyces
Control
3.736578962
0.04495598


g_Eremothecium
Control
3.41388614
0.01499872










Species level lefSe analysis











enriched in




species
group
LDA effect size
q value





s_Candida_albicans
CDI
4.883094137
0.0128582


s_Hanseniaspora_sp
CDI
2.476489287
0.02396599


s_Penicillium_sp
CDI
3.159815075
0.02226132


s_Aspergillus_austroafricanus
Control
2.820485891
0.02586708


s_Penicillium_dierckxii
Control
3.112142685
0.04495598


s_Eurotiomycetes_sp
Control
4.236581004
0.00632072


s_Pseudozyma_churashimaensis
Control
2.766834362
0.04495598


s_Thermomyces_lanuginosus
Control
3.158801272
0.0138274


s_Ustilaginaceae_sp
Control
2.551290082
0.04335394


s_Monascus_purpureus
Control
4.436483036
0.00806352


s_Penicillium_brocae
Control
3.202903826
0.00668459


s_Wallemia_mellicola
Control
3.029805635
0.02933565


s_Sterigmatomyces_halophilus
Control
3.158900806
0.04495598


s_Eremothecium_sinecaudum
Control
3.158887769
0.04495598


s_Pseudozyma_sp
Control
2.865506029
0.04495598


s_Rhodotorula_dairenensis
Control
3.652021075
0.04495598


s_Aspergillus_penicillioides
Control
3.45521592
0.03459752


s_Ophiostomataceae_sp
Control
3.730559216
0.04495598


s_Mucor_racemosus
Control
2.732298798
0.00354366


s_Lichtheimiaceae_sp
Control
3.462009204
0.04495598


s_Penicillium_steckii
Control
2.538239261
0.03894247





















TABLE 3








FMT/STD



Randomization


sample_name
number
baseline_comparasion
Sample_collection
sample_number#
arm





F1W0
FMT1
CDI
longitudinal
3
FMT


F1W2
FMT1
NA
longitudinal
4
FMT


F1W6
FMT1
NA
longitudinal
5
FMT


Control1
Donor1
Control
cross-sectional
6
Donor


F2W0
FMT2
CDI
longitudinal
9
FMT


F2W2
FMT2
NA
longitudinal
10
FMT


F2W4
FMT2
NA
longitudinal
11
FMT


Control2
Donor2
Control
cross-sectional
13
Donor


F3W0
FMT3
CDI
longitudinal
18
FMT


F3W2
FMT3
NA
longitudinal
19
FMT


F3W4
FMT3
NA
longitudinal
20
FMT


F3W10
FMT3
NA
longitudinal
21
FMT


F3W17
FMT3
NA
longitudinal
22
FMT


Control3
Donor3
Control
cross-sectional
23
Donor


F4W0
FMT4
CDI
longitudinal
26
FMT


F4W2
FMT4
NA
longitudinal
27
FMT


F4W4
FMT4
NA
longitudinal
28
FMT


F4W5
FMT4
NA
longitudinal
29
FMT


F4W18
FMT4
NA
longitudinal
31
FMT


Control4
Donor4
Control
cross-sectional
32
Donor


F5W0
FMT5
CDI
longitudinal
38
FMT


F5W2
FMT5
NA
longitudinal
39
FMT


F5W10
FMT5
NA
longitudinal
40
FMT


F5W18
FMT5
NA
longitudinal
41
FMT


Control5
Donor5
Control
cross-sectional
42
Donor


F6W0
FMT6
CDI
longitudinal
43
FMT


F6W2
FMT6
NA
longitudinal
44
FMT


F6W11
FMT6
NA
longitudinal
46
FMT


Control6
Donor6
Control
cross-sectional
47
Donor


F7W0
FMT7
CDI
longitudinal
89
FMT


F7W4
FMT7
NA
longitudinal
90
FMT


F7W12
FMT7
NA
longitudinal
91
FMT


Control7
Donor7
Control
cross-sectional
78
Donor


F8W0
FMT8
CDI
longitudinal
83
FMT


F8W20
FMT8
NA
longitudinal
106
FMT


Control8
Donor8
Control
cross-sectional
79
Donor


F9W0
FMT9
CDI
longitudinal
127
FMT


F9W2
FMT9
NA
longitudinal
128
FMT


F9W4
FMT9
NA
longitudinal
129
FMT


Control9
Donor9
Control
cross-sectional
130
Donor


F10W0
FMT10
CDI
longitudinal
50
FMT


F10W2
FMT10
NA
longitudinal
51
FMT


F10W6
FMT10
NA
longitudinal
52
FMT


F10W10
FMT10
NA
longitudinal
53
FMT


Control10
Donor10
Control
cross-sectional
54
Donor


F11W0
FMT11
CDI
longitudinal
62
FMT


F11W2
FMT11
NA
longitudinal
63
FMT


F11W4
FMT11
NA
longitudinal
64
FMT


Control11
Donor11
Control
cross-sectional
65
Donor


F12W0
FMT12
CDI
longitudinal
66
FMT


F12W4
FMT12
NA
longitudinal
68
FMT


F12W10
FMT12
NA
longitudinal
69
FMT


F13W0
FMT13
CDI
longitudinal
82
FMT


F13W2
FMT13
NA
longitudinal
102
FMT


F13W13
FMT13
NA
longitudinal
103
FMT


Contal13
Donor13
NA
longitudinal
80
Donor


F14W0
FMT14
CDI
longitudinal
113
FMT


F14W4
FMT14
NA
longitudinal
115
FMT


Contal14
Donor14
Control
cross-sectional
119
FMT


F15W0
FMT15
CDI
longitudinal
131
FMT


F15W2
FMT15
NA
longitudinal
132
FMT


F15W4
FMT15
NA
longitudinal
133
FMT


Contal15
Donor15
Control
cross-sectional
134
Donor


F16W0
FMT16
CDI
longitudinal
7
FMT


F16W4
FMT16
NA
longitudinal
86
FMT


Contal16
Donor16
Control
cross-sectional
8
Donor


S1W0
STD1
CDI
longitudinal
33
Std







therapy


S1W2
STD1
NA
longitudinal
34
Std







therapy


S1W4
STD1
NA
longitudinal
35
Std







therapy


S2W0
STD2
CDI
longitudinal
58
Std







therapy


S2W2
STD2
NA
longitudinal
59
Std







therapy


S2W4
STD2
NA
longitudinal
60
Std







therapy


S2W10
STD2
NA
longitudinal
61
Std







therapy


S3W0
STD3
CDI
longitudinal
71
Std







therapy


S3W2
STD3
NA
longitudinal
72
Std







therapy


S3W4
STD3
NA
longitudinal
73
Std







therapy


S4W0
STD4
CDI
longitudinal
81
Std







therapy


S4W2
STD4
NA
longitudinal
98
Std







therapy


S4W10
STD4
NA
longitudinal
100
Std







therapy


S5W0
STD5
CDI
longitudinal
107
Std







therapy


S5W2
STD5
NA
longitudinal
108
Std







therapy


S5W4
STD5
NA
longitudinal
109
Std







therapy


S5W10
STD5
NA
longitudinal
110
Std







therapy


S5W13
STD5
NA
longitudinal
111
Std







therapy


S5W23
STD5
NA
longitudinal
112
Std







therapy


S6W0
STD6
CDI
longitudinal
14
Std







therapy


S6W2
STD6
NA
longitudinal
15
Std







therapy


S6W10
STD6
NA
longitudinal
17
Std







therapy


S7W0
STD7
CDI
longitudinal
24
Std







therapy


S7W2
STD7
NA
longitudinal
25
Std







therapy


S8W0
STD8
CDI
longitudinal
120
Std







therapy


S8W4
STD8
NA
longitudinal
121
Std







therapy


CDI25
NA
CDI
cross-sectional
1
NA


Control12
NA
NA
cross-sectional
2
NA


CDI26
NA
CDI
cross-sectional
88
NA


Control17
NA
Control
cross-sectional
37
NA


CDI27
NA
CDI
cross-sectional
48
NA


Control18
NA
Control
cross-sectional
49
NA


CDI28
NA
CDI
cross-sectional
55
NA


Control19
NA
Control
cross-sectional
57
NA


CDI29
NA
CDI
cross-sectional
70
NA


CDI30
NA
CDI
cross-sectional
74
NA


Control20
NA
Control
cross-sectional
75
NA


DI31
NA
CDI
cross-sectional
122
NA


CDI32
NA
CDI
cross-sectional
124
NA


Control21
NA
Control
cross-sectional
ANS2357
NA


Control22
NA
Control
cross-sectional
ANS2331
NA


Control23
NA
Control
cross-sectional
ANS2237
NA


Control24
NA
Control
cross-sectional
ANS2467
NA


















time_point_post_treatment


donor
House



Collect
(FMT/STD,


relationship
hold ID


sample_name
Date
week)
Age
Sex
to patient
(family ID)





F1W0
27 Oct. 2015
0
80
M

A


F1W2
16 Nov. 2015
2



A


F1W6
14 Dec. 2015
6



A


Control1
27 Oct. 2015

35
F
Daughter
A


F2W0
13 Feb. 2015
0
52
M

B


F2W2
6 Mar. 2015
2



B


F2W4
20 Mar. 2015
4



B


Control2
12 Feb. 2015

51
F
Wife
B


F3W0
20 Mar. 2015
0
38
M

C


F3W2
14 Apr. 2015
2



C


F3W4
28 Apr. 2015
4



C


F3W10
2 Jun. 2015
10



C


F3W17
28 Jul. 2015
17



C


Control3
20 Mar. 2015

73
M
Father
C


F4W0
3 Jun. 2015
0
76
F

D


F4W2
20 Jun. 2015
2



D


F4W4
7 Jul. 2015
4



D


F4W5
13 Jul. 2015
5



D


F4W18
16 Oct. 2015
18



D


Control4
1 Jun. 2015

53
F
Daughter
D


F5W0
30 Jul. 2015
0
63
M

E


F5W2
18 Aug. 2015
2



E


F5W10
19 Oct. 2015
10



E


F5W18
14 Dec. 2015
18



E


Control5
31 Jul. 2015

36
F

E


F6W0
21 Aug. 2015
0
88
M

F


F6W2
17 Sep. 2015
2



F


F6W11
20 Nov. 2015
11



F


Control6
24 Aug. 2015

41
M
Son
F


F7W0
1 Feb. 2016
0
45
M

G


F7W4
7 Mar. 2016
4



G


F7W12
9 May 2016
12



G


Control7
8 Jan. 2016

35
M
No
G







relationship


F8W0
21 Jan. 2016
0
90
M

H


F8W20
20 Jun. 2016
20



H


Control8
22 Jan. 2016

36
F
granddaughter
H


F9W0
15 Sep. 2016
0
52
F

I


F9W2
30 Sep. 2016
2



I


F9W4
14 Oct. 2016
4



I


Control9
9 Sep. 2016

28
F
No
I







relationship


F10W0
26 Aug. 2015
0
45
M

J


F10W2
22 Sep. 2015
2



J


F10W6
22 Oct. 2015
6



J


F10W10
18 Nov. 2015
10



J


Control10
2 Sep. 2015

21
M
Son
J


F11W0
30 Sep. 2015
0
83
F

K


F11W2
18 Oct. 2015
2



K


F11W4
4 Nov. 2015
4



K


Control11
25 Sep. 2015

57
M
Son
K


F12W0
24 Sep. 2015
0
38
F

L


F12W4
5 Nov. 2015
4



L


F12W10
28 Dec. 2015
10



L


F13W0
15 Jan. 2016
0
81
M

M


F13W2
16 Feb. 2016
2



M


F13W13
28 Apr. 2016
13



M


Contal13
27 Jan. 2016

43
F
Daughter
M


F14W0
21 Mar. 2016
0
65
M

N


F14W4
29 Apr. 2016
4



N


Contal14
22 Mar. 2016

33
M
Son
N


F15W0
14 Sep. 2016
0
90
F

O


F15W2
5 Oct. 2016
2



O


F15W4
18 Oct. 2016
4



O


Contal15
13 Sep. 2016

52
M
Son
O


F16W0
26 Nov. 2015
0
83
M

P


F16W4
8 Jan. 2016
4



P


Contal16
11 Dec. 2015

27
F
Maid
P


S1W0
14 Jul. 2015
0
78
F


S1W2
24 Jul. 2015
2


S1W4
10 Aug. 2015
4


S2W0
24 Sep. 2015
0
83
F


S2W2
5 Oct. 2015
2


S2W4
19 Oct. 2015
4


S2W10
30 Nov. 2015
10


S3W0
20 Oct. 2015
0
99
F


S3W2
2 Nov. 2015
2


S3W4
16 Nov. 2015
4


S4W0
7 Jan. 2016
0
85
F


S4W2
25 Jan. 2016
2


S4W10
21 Mar. 2016
10


S5W0
16 Mar. 2016
0
92
F


S5W2
31 Mar. 2016
2


S5W4
19 Apr. 2016
4


S5W10
3 Jun. 2016
10


S5W13
17 Jun. 2016
13


S5W23
26 Aug. 2016
23


S6W0
6 Mar 2015
0
88
M


S6W2
18 Mar. 2015
2


S6W10
5 May 2015
10


S7W0
7 May 2015
0
93
M


S7W2
22 May 2015
2


S8W0
19 Jul. 2016
0
63
M


S8W4
19 Aug. 2016
4


CDI25

0
86
F

Q


Control12
4 Mar. 2015




Q


CDI26
30 Dec. 2015
0
88
M


Control17
21 Jul. 2015

55
F


CDI27
31 Aug. 2015
0
66
F

R


Control18
26 Aug. 2015

41
M

R


CDI28
7 Sep. 2015
0
84
M

S


Control19
8 Sep. 2015

42
M
Son
S


CDI29
8 Oct. 2015
0
76
M


CDI30
11 Dec. 2015
0
25
F

T


Control20
24 Dec. 2015

33
M
Brother
T


DI31
28 Jul. 2016

80
F


CDI32
29 Aug. 2016
0
52
M


Control21


Control22


Control23


Control24


























TABLE 4















Clean.



sample_num-






clean_data.
Dupli-
data.


sample_name
Aer
Sequencing_platform
strategy
length
Nreads
raw_reads
clean_reads
raw_data
cation
Mbp.

























F1W0
A3
Illumina_Miseq
PE300
294
0.16
179802
81730
45.46
0
24.27


F1W2
A4
Illumina_Miseq
PE300
300
0
616376
139656
22.66
0
41.9


F1W6
A5
Illumina_Miseq
PE300
300
0.228
1031864
316410
30.66
0
94.92


Control1
A6
Illumina_Miseq
PE300
300
0.139
433810
181802
41.91
0
54.54


F2W0
A9
Illumina_Miseq
PE300
299
0.14
202246
158372
78.31
0
47.43


F2W2
A10
Illumina_Miseq
PE300
300
0.13
238288
185840
77.99
0
55.75


F2W4
A11
Illumina_Miseq
PE300
298
0.14
274630
230666
83.99
0
68.97


Control2
A13
Illumina_Miseq
PE300
300
0.165
339154
46712
13.77
0
14.01


F3W0
A18
Illumina_Miseq
PE300
300
0
231822
93316
40.25
0
27.99


F3W2
A19
Illumina_Miseq
PE300
300
0.105
618984
262320
42.38
0
78.7


F3W4
A20
Illumina_Miseq
PE300
300
0.13
801066
294282
36.74
0
88.28


F3W10
A21
Illumina_Miseq
PE300
300
0.131
762700
277712
36.41
0
83.31


F3W17
A22
Illumina_Miseq
PE300
300
0.139
696480
71662
10.29
0
21.5


Control3
A23
Illumina_Miseq
PE300
300
0
207068
84600
40.86
0
25.38


F4W0
A26
Illumina_Miseq
PE300
300
0
209102
67856
32.45
0
20.36


F4W2
A27
Illumina_Miseq
PE300
300
0
216998
88906
40.97
0
26.67


F4W4
A28
Illumina_Miseq
PE300
300
0.112
240322
93194
38.78
0
27.96


F4W5
A29
Illumina_Miseq
PE300
300
0.001
132580
50098
37.79
0
15.03


F4W18
A31
Illumina_Miseq
PE300
300
0
173430
49710
28.66
0
14.91


Control4
A32
Illumina_Miseq
PE300
300
0.001
1708684
752020
44.01
0
225.61


F5W0
A38
Illumina_Miseq
PE300
293
0.14
248084
109264
44.04
0
32.34


F5W2
A39
Illumina_Miseq
PE300
297
0.14
181924
81388
44.74
0
24.25


F5W10
A40
Illumina_Miseq
PE300
300
0.075
140624
54390
38.68
0
16.32


F5W18
A41
Illumina_Miseq
PE300
296
0.13
192510
94050
48.85
0
27.89


Control5
A42
Illumina_Miseq
PE300
300
0.208
215010
91448
42.53
0
27.43


F6W0
A43
Illumina_Miseq
PE300
298
0.15
282544
219516
77.69
0
65.64


F6W2
A44
Illumina_Miseq
PE300
300
0.035
298672
118338
39.62
0
35.5


F6W11
A46
Illumina_Miseq
PE300
300
0.045
275570
122034
44.28
0
36.61


Control6
A47
Illumina_Miseq
PE300
297
0.12
344408
244256
70.92
0
72.54


F7W0
A89
Illumina_Miseq
PE300
300
0.083
257738
78176
30.33
0
23.45


F7W4
A90
Illumina_Miseq
PE300
293
0.18
202056
105384
52.16
0
31.25


F7W12
A91
Illumina_Miseq
PE300
300
0.068
211482
17624
8.33
0
5.29


Control7
A78
Illumina_Miseq
PE300
300
0.074
321992
36754
11.41
0
11.03


F8W0
A83
Illumina_Miseq
PE300
300
0
400454
105068
26.24
0
31.52


F8W20
A106
Illumina_Miseq
PE300
300
0.018
329840
55682
16.88
0
16.7


Control8
A79
Illumina_Miseq
PE300
300
0.037
271614
136442
50.23
0
40.93


F9W0
A127
Illumina_Miseq
PE300
297
0.15
222020
181952
81.95
0
54.22


F9W2
A128
Illumina_Miseq
PE300
296
0.15
303888
236462
77.81
0
69.64


F9W4
A129
Illumina_Miseq
PE300
294
0.14
378688
327536
86.49
0
96.13


Control9
A130
Illumina_Miseq
PE300
300
0.055
308178
107542
34.9
0
32.26


F10W0
A50
Illumina_Miseq
PE300
299
0.15
365022
166948
45.74
0
49.5


F10W2
A51
Illumina_Miseq
PE300
298
0.13
342394
166724
48.69
0
49.6


F10W6
A52
Illumina_Miseq
PE300
294
0.14
444320
194454
43.76
0
57.07


F10W10
A53
Illumina_Miseq
PE300
300
0.019
652970
251992
38.59
0
75.6


Control10
A54
Illumina_Miseq
PE300
300
0.017
888528
237676
26.75
0
71.3


F11W0
A62
Illumina_Miseq
PE300
293
0.15
220522
108276
49.1
0
31.89


F11W2
A63
Illumina_Miseq
PE300
300
0.117
347680
112438
32.34
0
33.73


F11W4
A64
Illumina_Miseq
PE300
300
0.14
265458
123800
46.64
0
36.89


Control11
A65
Illumina_Miseq
PE300
300
0.076
364878
147312
40.37
0
44.19


F12W0
A66
Illumina_Miseq
PE300
299
0.13
385064
168008
43.63
0
49.98


F12W4
A68
Illumina_Miseq
PE300
293
0.13
239996
94998
39.58
0
28.12


F12W10
A69
Illumina_Miseq
PE300
294
0.13
367404
180104
49.02
0
52.86


F13W0
A82
Illumina_Miseq
PE300
300
0.015
505218
166652
32.99
0
50


F13W2
A102
Illumina_Miseq
PE300
300
0.073
233864
84538
36.15
0
25.36


F13W13
A103
Illumina_Miseq
PE300
297
0.14
196280
83390
42.49
0
24.64


Control13
A80
Illumina_Miseq
PE300
300
0.058
306382
124604
40.67
0
37.38


F14W0
A113
Illumina_Miseq
PE300
298
0.15
183402
137498
74.97
0
40.84


F14W4
A115
Illumina_Miseq
PE300
297
0.12
298982
138884
46.45
0
41.11


Control14
A119
Illumina_Miseq
PE300
300
0.13
205292
159234
77.56
0
47.37


F15W0
A131
Illumina_Miseq
PE300
300
0.14
629728
298766
47.44
0
88.58


F15W2
A132
Illumina_Miseq
PE300
299
0.15
357030
171648
48.08
0
50.81


F15W4
A133
Illumina_Miseq
PE300
300
0.15
309054
151058
48.88
0
45.09


Control15
A134
Illumina_Miseq
PE300
300
0
471798
185850
39.39
0
55.76


F16W0
A7
Illumina_Miseq
PE300
300
0.185
346110
73132
21.13
0
21.94


F16W4
A86
Illumina_Miseq
PE300
299
0.12
327154
132150
40.39
0
39.58


Control16
A8
Illumina_Miseq
PE300
300
0.147
292252
39628
13.56
0
11.89


S1W0
A33
Illumina_Miseq
PE300
300
0.001
770414
328156
42.59
0
98.45


S1W2
A34
Illumina_Miseq
PE300
299
0.14
175118
75890
43.34
0
22.65


S1W4
A35
Illumina_Miseq
PE300
298
0.15
234894
110164
46.9
0
32.83


S2W0
A58
Illumina_Miseq
PE300
297
0.14
335058
249376
74.43
0
73.94


S2W2
A59
Illumina_Miseq
PE300
294
0.14
405606
276022
68.05
0
81.98


S2W4
A60
Illumina_Miseq
PE300
296
0.12
176070
132478
75.24
0
39.21


S2W10
A61
Illumina_Miseq
PE300
300
0.068
346262
38884
11.23
0
11.67


S3W0
A71
Illumina_Miseq
PE300
300
0.108
199368
44866
22.5
0
13.46


S3W2
A72
Illumina_Miseq
PE300
296
0.15
269004
119998
44.61
0
35.52


S3W4
A73
Illumina_Miseq
PE300
293
0.07
291644
58196
19.95
0
17.05


S4W0
A81
Illumina_Miseq
PE300
300
0.015
712372
170362
23.91
0
51.11


S4W2
A98
Illumina_Miseq
PE300
299
0.15
410054
186270
45.43
0
55.32


S4W10
A100
Illumina_Miseq
PE300
300
0.066
223792
94782
42.35
0
28.43


S5W0
A107
Illumina_Miseq
PE300
300
0
431392
221564
51.36
0
66.47


S5W2
A108
Illumina_Miseq
PE300
296
0.13
209076
72748
34.8
0
21.53


S5W4
A109
Illumina_Miseq
PE300
294
0.14
245218
101786
41.51
0
30.03


S5W10
A110
Illumina_Miseq
PE300
293
0.14
267352
112302
42.01
0
33.07


S5W13
A111
Illumina_Miseq
PE300
293
0.14
309046
123178
39.86
0
36.21


S5W23
A112
Illumina_Miseq
PE300
300
0.086
407234
89072
21.87
0
26.72


S6W0
A14
Illumina_Miseq
PE300
296
0.13
300734
121426
40.38
0
36.12


S6W2
A15
Illumina_Miseq
PE300
294
0.14
381812
175862
46.06
0
52.14


S6W10
A17
Illumina_Miseq
PE300
293
0.09
373944
109182
29.2
0
32.26


S7W0
A24
Illumina_Miseq
PE300
300
0
385622
128024
33.2
0
38.41


S7W2
A25
Illumina_Miseq
PE300
297
0.12
280482
115920
41.33
0
34.54


S8W0
A120
Illumina_Miseq
PE300
298
0.13
211678
100168
47.32
0
29.95


S8W4
A121
Illumina_Miseq
PE300
299
0.14
219782
94604
43.04
0
28.33


CDI25
A1
Illumina_Miseq
PE300
297
0.13
266926
117804
44.13
0
35.16


Control12
A2
Illumina_Miseq
PE300
296
0.13
380378
163882
43.08
0
48.84


CDI26
A88
Illumina_Miseq
PE300
300
0.029
539830
199604
36.98
0
59.88


Control17
A37
Illumina_Miseq
PE300
300
0.256
343310
112180
32.68
0
33.65


CDI27
A48
Illumina_Miseq
PE300
300
0.12
386578
128450
33.23
0
38.53


Control18
A49
Illumina_Miseq
PE300
297
0.13
353998
247752
69.99
0
73.09


CDI28
A55
Illumina_Miseq
PE300
296
0.14
288796
124028
42.95
0
36.96


Control19
A57
Illumina_Miseq
PE300
300
0.071
866640
91022
10.5
0
27.31


CDI29
A70
Illumina_Miseq
PE300
298
0.12
331604
159998
48.25
0
47.52


CDI30
A74
Illumina_Miseq
PE300
294
0.15
222838
163664
73.45
0
48.2


CDI31
A122
Illumina_Miseq
PE300
300
0.071
218720
46710
21.36
0
14.01


CDI32
A124
Illumina_Miseq
PE300
298
0.15
541002
285192
52.72
0
84.42


Control20
A136
Illumina_Miseq
PE300
300
0.056
425346
154348
36.29
0
46.3


Control21
A137
Illumina_Miseq
PE300
300
0.125
817664
347726
42.53
0
104.32


Control22
A138
Illumina_Miseq
PE300
300
0.147
1584946
635954
40.12
0
190.79


Control23
A139
Illumina_Miseq
PE300
300
0.155
540728
250244
46.28
0
75.07





















TABLE 5










Sequencing_Strategy.
Raw-
Read_length.


sample_name
sample_NUMBER
Sequencing_platform
PE.SE.
Reads
bp.





F1W0
B3
Illumina_Miseq
PE250
139020
250


F1W2
B4
Illumina_Miseq
PE250
453216
250


F1W6
B5
Illumina_Miseq
PE250
210766
250


Control1
B6
Illumina_Miseq
PE250
197162
250


F2W0
B9
Illumina_Miseq
PE250
145174
250


F2W2
B10
Illumina_Miseq
PE250
165058
250


F2W4
B11
Illumina_Miseq
PE250
157286
250


Control2
B13
Illumina_Miseq
PE250
178348
250


F3W0
B18
Illumina_Miseq
PE250
392454
250


F3W2
B19
Illumina_Miseq
PE250
230982
250


F3W4
B20
Illumina_Miseq
PE250
112378
250


F3W10
B21
Illumina_Miseq
PE250
230772
250


F3W17
B22
Illumina_Miseq
PE250
311224
250


Control3
B23
Illumina_Miseq
PE250
523854
250


F4W0
B26
Illumina_Miseq
PE250
174036
250


F4W2
B27
Illumina_Miseq
PE250
220990
250


F4W4
B28
Illumina_Miseq
PE250
241624
250


F4W5
B29
Illumina_Miseq
PE250
180292
250


F4W18
B31
Illumina_Miseq
PE250
201408
250


Control4
B32
Illumina_Miseq
PE250
421468
250


F5W0
B38
Illumina_Miseq
PE250
141266
250


F5W2
B39
Illumina_Miseq
PE250
144132
250


F5W10
B40
Illumina_Miseq
PE250
218376
250


F5W18
B41
Illumina_Miseq
PE250
238492
250


Control5
B42
Illumina_Miseq
PE250
350844
250


F6W0
B43
Illumina_Miseq
PE250
266526
250


F6W2
B44
Illumina_Miseq
PE250
236454
250


F6W11
B46
Illumina_Miseq
PE250
233562
250


Control6
B47
Illumina_Miseq
PE250
305446
250


F7W0
B89
Illumina_Miseq
PE250
237086
250


F7W4
B90
Illumina_Miseq
PE250
235976
250


F7W12
B91
Illumina_Miseq
PE250
250973
250


Control7
B78
Illumina_Miseq
PE250
203468
250


F8W0
B83
Illumina_Miseq
PE250
131878
250


F8W20
B106
Illumina_Miseq
PE250
167805
250


Control8
B79
Illumina_Miseq
PE250
242486
250


F9W0
B127
Illumina_Miseq
PE250
196849
250


F9W2
B128
Illumina_Miseq
PE250
204701
250


F9W4
B129
Illumina_Miseq
PE250
174369
250


Control9
B130
Illumina_Miseq
PE250
158498
250


F10W0
B50
Illumina_Miseq
PE250
283910
250


F10W2
B51
Illumina_Miseq
PE250
200238
250


F10W6
B52
Illumina_Miseq
PE250
170482
250


F10W10
B53
Illumina_Miseq
PE250
178994
250


Control10
B54
Illumina_Miseq
PE250
824186
250


F11W0
B62
Illumina_Miseq
PE250
215272
250


F11W2
B63
Illumina_Miseq
PE250
195352
250


F11W4
B64
Illumina_Miseq
PE250
193674
250


Control11
B65
Illumina_Miseq
PE250
183434
250


F12W0
B66
Illumina_Miseq
PE250
130132
250


F12W4
B68
Illumina_Miseq
PE250
442748
250


F12W10
B69
Illumina_Miseq
PE250
376794
250


F13W0
B82
Illumina_Miseq
PE250
295522
250


F13W2
B102
Illumina_Miseq
PE250
163065
250


F13W13
B103
Illumina_Miseq
PE250
207191
250


Control13
B80
Illumina_Miseq
PE250
462154
250


F14W0
B113
Illumina_Miseq
PE250
223935
250


F14W4
B115
Illumina_Miseq
PE250
259086
250


Control14
B119
Illumina_Miseq
PE250
247736
250


F15W0
B131
Illumina_Miseq
PE250
154491
250


F15W2
B132
Illumina_Miseq
PE250
148992
250


F15W4
B133
Illumina_Miseq
PE250
112623
250


Control15
B134
Illumina_Miseq
PE250
253469
250


F16W0
B7
Illumina_Miseq
PE250
115544
250


F16W4
B86
Illumina_Miseq
PE250
281377
250


Control16
B8
Illumina_Miseq
PE250
192726
250


S1W0
B33
Illumina_Miseq
PE250
127724
250


S1W2
B34
Illumina_Miseq
PE250
156738
250


S1W4
B35
Illumina_Miseq
PE250
173534
250


S2W0
B58
Illumina_Miseq
PE250
223636
250


S2W2
B59
Illumina_Miseq
PE250
185150
250


S2W4
B60
Illumina_Miseq
PE250
159388
250


S2W10
B61
Illumina_Miseq
PE250
344816
250


S3W0
B71
Illumina_Miseq
PE250
241924
250


S3W2
B72
Illumina_Miseq
PE250
273290
250


S3W4
B73
Illumina_Miseq
PE250
332982
250


S4W0
B81
Illumina_Miseq
PE250
192778
250


S4W2
B98
Illumina_Miseq
PE250
198910
250


S4W10
B100
Illumina_Miseq
PE250
157771
250


S5W0
B107
Illumina_Miseq
PE250
239494
250


S5W2
B108
Illumina_Miseq
PE250
230334
250


S5W4
B109
Illumina_Miseq
PE250
264477
250


S5W10
B110
Illumina_Miseq
PE250
283660
250


S5W13
B111
Illumina_Miseq
PE250
281066
250


S5W23
B112
Illumina_Miseq
PE250
269234
250


S6W0
B14
Illumina_Miseq
PE250
144110
250


S6W2
B15
Illumina_Miseq
PE250
122768
250


S6W10
B17
Illumina_Miseq
PE250
177230
250


S7W0
B24
Illumina_Miseq
PE250
141758
250


S7W2
B25
Illumina_Miseq
PE250
135760
250


S8W0
B120
Illumina_Miseq
PE250
225001
250


S8W4
B121
Illumina_Miseq
PE250
231234
250


CDI25
B1
Illumina_Miseq
PE250
93298
250


Control12
B2
Illumina_Miseq
PE250
127534
250


CDI26
B88
Illumina_Miseq
PE250
205071
250


Control17
B37
Illumina_Miseq
PE250
253674
250


CDI27
B48
Illumina_Miseq
PE250
168938
250


Control18
B49
Illumina_Miseq
PE250
356614
250


CDI28
B55
Illumina_Miseq
PE250
144894
250


Control19
B57
Illumina_Miseq
PE250
474850
250


CDI29
B70
Illumina_Miseq
PE250
225218
250


CDI30
B74
Illumina_Miseq
PE250
232140
250


Control20
B75
Illumina_Miseq
PE250
279832
250


DI31
B122
Illumina_Miseq
PE250
241976
250


CDI32
B124
Illumina_Miseq
PE250
166333
250



















Clean_Data.









Raw_Data

Read_GC
Adapter_Rate
Duplication_Rate
N_rate



sample_name
. . .
Clean_Reads
. . .
. . .
. . .
. . .







F1W0
36.41
50614
54.77
0

0



F1W2
49.63
224930
55.19
0

0



F1W6
54.7
115298
54.43
0

0



Control1
56.09
110582
53.81
0

0



F2W0
36.12
52432
56.19
0

0



F2W2
39.87
65806
53.31
0

0



F2W4
51.06
80306
55.57
0

0



Control2
53.95
96226
53.59
0

0



F3W0
37.82
148440
51.66
0

0



F3W2
44.39
102532
54.01
0

0



F3W4
47.17
53006
53.36
0

0



F3W10
44.67
103090
52.81
0

0



F3W17
44.88
139674
54.17
0

0



Control3
48.24
252724
53.82
0

0



F4W0
41.06
71452
54.33
0

0



F4W2
43.23
95524
55.18
0

0



F4W4
36.16
87376
55.01
0

0



F4W5
47.99
86526
58.15
0

0



F4W18
43.77
88154
54.42
0

0



Control4
49.82
209980
53.83
0

0



F5W0
37.14
52462
53.82
0

0



F5W2
32.13
46310
53.24
0

0



F5W10
38.59
84272
54.1
0

0



F5W18
36.26
86488
53.76
0

0



Control5
46.31
162472
54.36
0

0



F6W0
37.13
98972
54.74
0

0



F6W2
44.09
104262
53.8
0

0



F6W11
45.15
105462
54.06
0

0



Control6
55.31
168944
54.78
0

0



F7W0
79.42
188300
54.91
0

0



F7W4
83.49
197021
53.01
0

0



F7W12
79.33
199092
53.2
0

0



Control7
50.32
102382
54.61
0

0



F8W0
26.67
35168
54.94
0

0



F8W20
83.11
139457
53.09
0

0



Control8
58.72
142396
55.31
0

0



F9W0
80.26
157992
52.39
0

0



F9W2
77.69
159032
51.85
0

0



F9W4
79.82
139188
53.08
0

0



Control9
81.99
129950
52.62
0

0



F10W0
33.77
95884
55.08
0

0



F10W2
30.26
60588
55.17
0

0



F10W6
38.49
65614
54.36
0

0



F10W10
36.65
65606
54.59
0

0



Control10
40.69
335336
53.36
0

0



F11W0
42.74
92012
53.28
0

0



F11W2
44.86
87634
53.31
0

0



F11W4
29.48
57096
55.18
0

0



Control11
47.41
86968
55.82
0

0



F12W0
28.16
36646
51.56
0

0



F12W4
38.11
168732
52.41
0

0



F12W10
44.61
168084
54.27
0

0



F13W0
35.97
106314
54.32
0

0



F13W2
82.16
133971
54.28
0

0



F13W13
80.73
167256
53.56
0

0



Control13
48.56
224408
53.21
0

0



F14W0
81.37
182212
52.37
0

0



F14W4
76.58
198409
53.36
0

0



Control14
78.41
194254
51.97
0

0



F15W0
79.7
123134
56.75
0

0



F15W2
77.43
115366
51.66
0

0



F15W4
81.68
91988
55.07
0

0



Control15
74.17
187995
52.93
0

0



F16W0
47.42
54786
55.67
0

0



F16W4
73.93
208021
51.76
0

0



Control16
49.58
95562
55.47
0

0



S1W0
48.49
61934
53.3
0

0



S1W2
40.52
63506
53.78
0

0



S1W4
38.11
66142
54.08
0

0



S2W0
31.94
71434
55.8
0

0



S2W2
32.01
59258
55.44
0

0



S2W4
28.23
44998
55.05
0

0



S2W10
39.19
135144
52.08
0

0



S3W0
32.86
79506
55.38
0

0



S3W2
38.59
105472
55.84
0

0



S3W4
37.47
124756
53.04
0

0



S4W0
45.56
87836
53.87
0

0



S4W2
81.35
161811
53.93
0

0



S4W10
76.87
121286
51.88
0

0



S5W0
84.11
201431
55.84
0

0



S5W2
82.31
189592
55.29
0

0



S5W4
78.33
207172
52.18
0

0



S5W10
81.24
230451
52.84
0

0



S5W13
78.64
221027
55.94
0

0



S5W23
76.53
206040
52.41
0

0



S6W0
50.6
72918
54.66
0

0



S6W2
35.01
42986
55.06
0

0



S6W10
52.6
93230
53.52
0

0



S7W0
41.43
58734
54.25
0

0



S7W2
33.35
45270
55.72
0

0



S8W0
77.52
174431
52.82
0

0



S8W4
78.69
181960
52.87
0

0



CDI25
29.23
27272
54.54
0

0



Control12
52.3
66694
55.41
0

0



CDI26
61.56
126248
53.34
0

0



Control17
46.68
118412
51.69
0

0



CDI27
32.75
55330
54.64
0

0



Control18
48.47
172844
54.23
0

0



CDI28
27.61
39998
54.42
0

0



Control19
50.34
239062
55.47
0

0



CDI29
28.02
63114
55.92
0

0



CDI30
36.89
85644
56.9
0

0



Control20
57.13
159864
54.04
0

0



DI31
82.29
199112
52.56
0

0



CDI32
81.76
135989
54.71
0

0










REFERENCES



  • 1. Smits, L. P., Bouter, K. E. C., de Vos, W. M., Borody, T. J. & Nieuwdorp, M. Therapeutic Potential of Fecal Microbiota Transplantation. Gastroenterology 145, 946-953 (2013).

  • 2. Vrieze, A., et al. Transfer of Intestinal Microbiota From Lean Donors Increases Insulin Sensitivity in Individuals With Metabolic Syndrome. Gastroenterology 143, 913-+(2012).

  • 3. van Nood, E., et al. Duodenal Infusion of Donor Feces for Recurrent Clostridium difficile. New Engl J Med 368, 407-415 (2013).

  • 4. Lee, C. H., et al. Frozen vs Fresh Fecal Microbiota Transplantation and Clinical Resolution of Diarrhea in Patients With Recurrent Clostridium difficile Infection A Randomized Clinical Trial. Jama-J Am Med Assoc 315, 142-149 (2016).

  • 5. Drekonja, D., et al. Fecal Microbiota Transplantation for Clostridium difficile



Infection A Systematic Review. Ann Intern Med 162, 630-U230 (2015).

  • 6. Colman, R. J. & Rubin, D. T. Fecal microbiota transplantation as therapy for inflammatory bowel disease: A systematic review and meta-analysis. Journal of Crohns & Colitis 8, 1569-1581 (2014).
  • 7. De Leon, L. M., Watson, J. B. & Kelly, C. R. Transient Flare of Ulcerative Colitis After Fecal Microbiota Transplantation for Recurrent Clostridium difficile Infection. Clin Gastroenterol H 11, 1036-1038 (2013).
  • 8. Kelly, C. R., Kahn, S. A. & Kashyap, P. Update on Fecal Microbiota Transplantation 2015: Indications, Methodologies, Mechanisms, and Outlook (vol 149, pg 223, 2015). Gastroenterology 149, 1644-1644 (2015).
  • 9. Khoruts, A. & Sadowsky, M. J. Therapeutic transplantation of the distal gut microbiota. Mucosal Immunol 4, 4-7 (2011).
  • 10. Manichanh, C., et al. Reshaping the gut microbiome with bacterial transplantation and antibiotic intake. Genome Res 20, 1411-1419 (2010).
  • 11. Rea, M. C., et al. Effect of broad- and narrow-spectrum antimicrobials on Clostridium difficile and microbial diversity in a model of the distal colon. Proceedings of the National Academy of Sciences of the United States of America 108, 4639-4644 (2011).
  • 12. Li, S. S., et al. Durable coexistence of donor and recipient strains after fecal microbiota transplantation. Science 352, 586-589 (2016).
  • 13. Zuo, T., et al. Bacteriophage transfer during faecal microbiota transplantation in Clostridium difficile infection is associated with treatment outcome. Gut, gutjnl-2017-313952 (2017).
  • 14. Chehoud, C., et al. Transfer of Viral Communities between Human Individuals during Fecal Microbiota Transplantation. mBio 7(2016).
  • 15. Broecker, F., et al. Long-term changes of bacterial and viral compositions in the intestine of a recovered Clostridium difficile patient after fecal microbiota transplantation. Molecular Case Studies 2, a000448 (2016).
  • 16. Limon, J. J., Skalski, J. H. & Underhill, D. M. Commensal Fungi in Health and Disease. Cell host & microbe 22, 156-165 (2017).
  • 17. Iliev, I. D. & Leonardi, I. Fungal dysbiosis: immunity and interactions at mucosal barriers. Nat Rev Immunol 17, 635-646 (2017).
  • 18. Jiang, T. T., et al. Commensal Fungi Recapitulate the Protective Benefits of Intestinal Bacteria. Cell host & microbe 22, 809-816 e804 (2017).
  • 19. Leffler, D. A. & Lamont, J. T. Clostridium difficile Infection. New Engl J Med 373, 287-288 (2015).
  • 20. Flevari, A., Theodorakopoulou, M., Velegraki, A., Armaganidis, A. & Dimopoulos, G Treatment of invasive candidiasis in the elderly: a review. Clin Intery Aging 8, 1199-1208 (2013).
  • 21. Moyes, D. L., et al. Candidalysin is a fungal peptide toxin critical for mucosal infection. Nature 532, 64-+(2016).
  • 22. Fan, D., et al. Activation of HIF-1 alpha and LL-37 by commensal bacteria inhibits Candida albicans colonization. Nat Med 21, 808-+(2015).
  • 23. Mason, K. L., et al. Interplay between the Gastric Bacterial Microbiota and Candida albicans during Postantibiotic Recolonization and Gastritis. Infection and immunity 80, 150-158 (2012).
  • 24. Dollive, S., et al. Fungi of the Murine Gut: Episodic Variation and Proliferation during Antibiotic Treatment. PloS one 8(2013).
  • 25. Downward, J. R. E., Falkowski, N. R., Mason, K. L., Muraglia, R. & Huffnagle, G B. Modulation of Post-Antibiotic Bacterial Community Reassembly and Host Response by Candida albicans. Sci Rep-Uk 3(2013).
  • 26. Mason, K. L., et al. Candida albicans and Bacterial Microbiota Interactions in the


Cecum during Recolonization following Broad-Spectrum Antibiotic Therapy.


Infection and immunity 80, 3371-3380 (2012).

  • 27. Sokol, H., et al. Fungal microbiota dysbiosis in IBD. Gut 66, 1039-1048 (2017).
  • 28. Sartor, R. B. & Wu, G D. Roles for Intestinal Bacteria, Viruses, and Fungi in


Pathogenesis of Inflammatory Bowel Diseases and Therapeutic Approaches. Gastroenterology 152, 327-+(2017).

  • 29. Iliev, I. D., et al. Interactions Between Commensal Fungi and the C-Type Lectin Receptor Dectin-1 Influence Colitis. Science 336, 1314-1317 (2012).
  • 30. Wheeler, M. L., et al. Immunological Consequences of Intestinal Fungal Dysbiosis. Cell host & microbe 19, 865-873 (2016).
  • 31. Gweon, H. S., et al. PIPITS: an automated pipeline for analyses of fungal internal transcribed spacer sequences from the Illumina sequencing platform. Methods Ecol Evol 6, 973-980 (2015).
  • 32. Schloss, P. D., et al. Introducing mothur: Open-Source, Platform-Independent,


Community-Supported Software for Describing and Comparing Microbial Communities. Appl Environ Microb 75, 7537-7541 (2009).

  • 33. McDonald, D., et al. An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea. Isme J 6, 610-618 (2012).
  • 34. Chen, X. H., et al. A Mouse Model of Clostridium difficile-Associated Disease. Gastroenterology 135, 1984-1992 (2008).
  • 35. Liu, C. M., et al. FungiQuant: a broad-coverage fungal quantitative real-time PCR assay. Bmc Microbiol 12, 255 (2012).

Claims
  • 1. A method for assessing likelihood of effective fecal microbiota transplantation (FMT), comprising determining C. albicans level in a stool sample obtained from a potential recipient prior to FMT.
  • 2. The method of claim 1, wherein the C. albicans level is a percentage relative abundance.
  • 3. The method of claim 2, wherein the C. albicans level is greater than 10% and FMT is assessed as unlikely to be effective for the potential recipient.
  • 4. The method of claim 3, wherein the recipient is administered an effective amount of an antifungal agent that suppresses C. albicans growth before FMT.
  • 5. The method of claim 4, further comprising determining C. albicans level in a stool sample obtained from the recipient after FMT.
  • 6. The method of claim 2, wherein the C. albicans level is no greater than 10% and FMT is assessed as likely to be effective for the potential recipient.
  • 7. The method of claim 1, further comprising determining total fungal load in the stool sample.
  • 8. The method of claim 7, further comprising performing FMT on the potential recipient.
  • 9. The method of claim 1, wherein C. albicans level is determined in a first stool sample obtained from a first potential recipient prior to FMT and in a second stool sample obtained from a second potential recipient prior to FMT.
  • 10. The method of claim 9, wherein the first potential recipient has a lower C. albicans level than the second potential recipient and is assessed to have a higher likelihood of effective FMT than the potential recipient.
  • 11. The method of claim 9, wherein the second potential recipient is administered an effective amount of an antifungal agent that suppresses C. albicans growth before FMT.
  • 12. The method of claim 1, wherein the potential recipient has inflammatory bowel disease (IBD) with concurrent Clostridium difficile infection (CDI).
  • 13. The method of claim 12, wherein the C. albicans level is determined in stool samples taken from the recipient before and after FMT.
  • 14. A method for identifying a suitable donor for FMT, comprising the step of determining C. albicans level in a stool sample obtained from a candidate.
  • 15. The method of claim 14, wherein the C. albicans level is a percentage relative abundance.
  • 16. The method of claim 15, wherein the C. albicans level is no greater than 0.1% and the candidate is identified as a suitable donor for FMT.
  • 17. The method of claim 15, wherein the C. albicans level is greater than 10% and the candidate is identified as an unsuitable donor for FMT.
  • 18. The method of claim 14, further comprising determining Saccharomyces level and Aspergillus level in the stool sample.
  • 19. The method of claim 14, further comprising determining Escherichia level and Proteus level in the stool sample.
  • 20. The method of claim 14, further comprising determining total fungal load in the stool sample.
  • 21. A method for improving FMT efficacy, comprising administering to an FMT recipient prior to FMT an effective amount of an antifungal agent that suppresses C. albicans growth.
  • 22. The method of claim 21, wherein C. albicans level is determined in a stool sample from the FMT recipient prior to administration of the antifungal agent.
  • 23. The method of claim 21, wherein C. albicans level is determined in a stool sample from the FMT recipient after administration of the antifungal agent.
  • 24. The method of claim 21, further comprising administering to the recipient prior to FMT an effective amount of an agent that reduces total fungal load in a stool sample taken from the recipient prior to FMT.
  • 25. The method of claim 21, wherein the recipient has inflammatory bowel disease (IBD) with concurrent Clostridium difficile infection (CDI).
  • 26. A kit comprising (1) a first composition comprising donor stool; and (2) a second composition comprising an effective amount of an antifungal agent that suppresses C. albicans growth.
  • 27. The kit of claim 22, wherein the first composition comprises donor stool that has been dried, frozen, and placed in a capsule for oral ingestion.
  • 28. The kit of claim 22, further comprising in the second composition or in a third composition an effective amount of an agent that reduces total fungal load.
  • 29. (canceled)
BACKGROUND OF THE INVENTION

This application claims priority to U.S. Provisional Patent Application No. 62/625,705, filed Feb. 2, 2018, and U.S. Provisional Patent Application No. 62/679,417, filed Jun. 1, 2018, the contents of both are hereby incorporated by reference in the entirety for all purposes.

PCT Information
Filing Document Filing Date Country Kind
PCT/CN2019/074353 2/1/2019 WO 00
Provisional Applications (2)
Number Date Country
62625705 Feb 2018 US
62679417 Jun 2018 US