The present invention relates generally to the identification and phenotypic analysis of microorganisms and, more particularly but without limitation, to identifying pathogenic microorganisms in samples taken from non-sterile sites and determining a phenotypic response thereof to one or more test reagents using droplet microfluidics.
Analysis of samples taken from non-sterile sites can pose challenges because those samples may include both pathogenic and commensal microorganisms. For example, to determine appropriate patient care, the identity of the pathogenic microorganisms may need to be identified and the response of the pathogen—rather than the response of the commensal microorganisms—to various drugs (e.g., antibiotics) may need to be assessed. Current techniques to identify pathogens in non-sterile samples, such as quantitative culture, quantitative polymerase chain reaction (QPCR), and nucleic acid amplification tests (NAATs), may be inefficient, expensive, and complex. For example, in quantitative culture, it can take about 1 to 2 days to culture and allow the microorganisms in the sample to achieve identifiable growth. QPCR is typically expensive and may only be able to identify some pathogens. And quantitative culture, QPCR, and NAATs generally must be performed by skilled personnel due to the complicated work flow associated with each of the techniques.
Conventional processes used to, for example, determine the susceptibility of a pathogen to antibiotics (e.g., antibiotic susceptibility tests (ASTs)) can be inefficient, time-intensive, and/or inaccurate when commensal microorganisms are also present in the sample. Phenotypic test methods such as broth microdilution and disk diffusion generally require additional culturing of the sample, which can lengthen the amount of time required for analysis. Additionally, in these processes, the pathogenic microorganisms must be isolated from commensal microorganisms (e.g., by streaking the sample across a plate), which can be time- and work-intensive and require skilled personnel. Genotypic test methods, such as NAATs, may be less accurate than phenotypic methods because they assess the response of the pathogen indirectly based on genetic information and may not be able to analyze all species of pathogens or account for genetic mutations. For example, NAATs generally target molecular markers indicative of resistance mechanisms. To do so, a unique primer may have to be prepared for each of the relevant markers. When there are a large amount of markers, developing specific primers for each can be challenging and, without a suitable primer, a relevant marker may be missed. And resistance mechanisms can evolve, something NAATs may not be able to take into account.
There accordingly is a need in the art for methods of analyzing a sample taken from a non-sterile site in a rapid, cost-effective, and efficient manner. The present methods and systems can address this need through the use of droplet microfluidics. A first portion of a sample can be analyzed to identify and quantify the microorganism(s) therein at least by generating a plurality of first droplets from a first liquid that includes the first portion of the sample. Each of one or more microorganisms of the first portion of the sample can be encapsulated within one of the first droplets, which can have a relatively low volume (e.g., on the order of nanoliters or picoliters) such that the concentration of the encapsulated microorganism(s) can be relatively high. This may allow the first portion of the sample to be analyzed without the lengthy culture that is performed in quantitative culture and QPCR. And droplet generation can be performed with a first microfluidic chip that is simple to load.
To identify and quantify the microorganism(s), each of the encapsulating first droplets can include a viability indicator and a single species such that the droplet has a characteristic signature (e.g., a fluorescence that changes over time) that is, at least in part, attributable to the encapsulated species. In this manner, droplets that encapsulate different species can have different signatures, permitting differentiation thereof. A first set of data that includes these characteristic signature(s) can be captured and analyzed to ascertain the identity (e.g., based on the characteristic signature(s)) and quantity (e.g., based on the number of droplets exhibiting a particular microorganism-induced signature) of microorganism(s) of the first portion of the sample. At least one of the species can be identified as a target (e.g., pathogenic) species based on this data (e.g., if the data indicates the concentration of the species in the sample is above a threshold concentration).
If the test is negative (e.g., no pathogens are detected), further analysis need not be performed to save the expense of further tests. If a target species is identified, a second portion of the sample can be analyzed to ascertain a phenotypic response of the target species to one or more test reagents, such as the target species' susceptibility to one or more antibiotics. This analysis can be performed using droplet microfluidics in substantially the same manner as described above. For each of one or more aliquots of the second portion of the sample, a plurality of second droplets can be generated from a second liquid that includes the aliquot such that each of one or more microorganisms of the aliquot is encapsulated within one of the second droplets. Each of the second droplets can include a viability indicator (e.g., the same used for the above-described identification and quantification) and a test reagent can be introduced into at least some of the second droplets. A second set of data that includes the resulting characteristic signature(s) of the encapsulating second droplets can be captured. The test reagent may affect the characteristic signature of each of the encapsulating droplets (e.g., by killing or inhibiting the growth of microorganism(s) disposed therein)—the phenotypic response of the encapsulated microorganism(s) can be determined based on whether these variations are present.
To determine the phenotypic response of the target species, the second set of data can be referenced to the first set of data. Because the phenotypic analysis may be performed after the initial screen, the relative concentrations of the microorganism(s) in the second portion of the sample may be different from those in the original sample (e.g., because the microorganism(s) can replicate). For example, when multiple species of microorganisms are present in the sample, the species can have different replication rates—a commensal microorganism having a relatively fast replication rate may appear pathogenic in the second portion of the sample. By referencing the second set of data to the first set of data (which can provide a better indication of the original microorganism concentrations), the relevant species for investigation—and thus the relevant characteristic signature—can be identified such that the phenotypic test can appropriately assess the effect of the test reagent on the target (e.g., pathogenic), rather than non-target (e.g., commensal), species. Because this approach permits differentiation between droplets that encapsulate different species, time- and work-intensive isolation (e.g., by streaking) need not be performed, making the test more efficient than quantitative culture and QPCR. And because the analysis is phenotypic, it can be more accurate than NAATs.
Mass spectrometry can also be used to identify microorganism(s) with higher resolution after the initial screen. For example, at least some of the first droplets can be removed from the microfluidic chip and disposed on a plate. The location of one(s) of the removed first droplets that encapsulate microorganism(s) can be ascertained to determine where to begin scanning and thereby accelerate the analysis. The droplets can be dried and the encapsulated microorganism(s) can be lysed in preparation for mass spectrometry. The mass spectrometer can be a matrix assisted laser desorption/ionization time of flight (MALDI-TOF) mass spectrometer.
Some methods of analyzing a sample comprising one or more species of microorganisms, optionally two or more species of microorganisms, comprise generating, with a first device, a plurality of first droplets from a first liquid. The first liquid, in some methods, comprises a first portion of the sample such that each of one or more microorganisms of the first portion of the sample is encapsulated within one of the first droplets. Some methods comprise capturing, with one or more sensors, a first set of data indicative of the identity and quantity of the encapsulated microorganism(s) of the first portion of the sample. The first set of data, in some methods, comprises measurements of the fluorescence of at least some of the first droplets over a first test period.
Some methods comprise identifying at least one of the one or more species of the sample as a target species based on the first set of data. In some methods, identifying at least one of the one or more species as a target species comprises, for each of the one or more species calculating a concentration of the species in the sample based on the first set of data and if the concentration is greater than or equal to a threshold concentration, identifying the species as a target species.
Some methods comprise, for each of one or more aliquots of a second portion of the sample, generating, with a second device, a plurality of second droplets from a second liquid that comprises the aliquot such that each of one or more microorganisms of the aliquot is encapsulated within one of the second droplets. In some methods, for at least one of the aliquot(s), a test reagent is introduced into at least some of the second droplets, optionally by introducing the test reagent into the aliquot. The test reagent, in some methods, comprises an antibiotic. Some methods comprise capturing, with one or more sensors, a second set of data indicative of a phenotypic response of the encapsulated microorganisms(s) of the second portion of the sample to each of the test reagent(s). The second set of data, in some methods, comprises measurements of the fluorescence of at least some of the second droplets over a second test period. Some methods comprise determining a phenotypic response of the target species to each of the test reagent(s) at least by referencing the second set of data to the first set of data. In some methods, the phenotypic response of the target species to each of the test reagent(s) comprises susceptibility of the target species to the antibiotic.
Some methods comprise removing at least some of the first droplets from the first device, the removed first droplets including at least some of the encapsulated microorganism(s) of the first portion of the sample. Some methods comprise disposing and drying the removed first droplets on a plate, optionally such that substantially all of the liquid of the removed first droplets evaporates. In some methods, a matrix material is added to the plate. Some methods comprise capturing, with a mass spectrometer, spectrometry data indicative of the identity of the encapsulated microorganism(s) of the removed first droplets, wherein, optionally the mass spectrometer is a matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometer. In some methods, the location, on the plate, of one(s) of the removed first droplets that include encapsulated microorganism(s) is determined.
In some methods, the first device comprises a first chip and/or the second device comprises a second chip. At least one of the first and second chips, in some methods, defines a microfluidic network that includes one or more inlet ports, a test volume, and one or more flow paths extending between the inlet port(s) and the test volume. In some methods, generating the first droplets from the first liquid and/or for each of the aliquot(s) generating the second droplets from the second liquid comprises disposing the liquid within a first one of the inlet port(s) and directing the liquid along the flow path(s) such that, for each of the flow path(s), at least a portion of the liquid flows from the first inlet port, through at least one droplet-generating region in which a minimum cross-sectional area of the flow path increases along the flow path, and to the test volume. In some methods, capturing the first set of data comprises analyzing the first droplets that are disposed in the test volume of the first chip and/or capturing the second set of data comprises analyzing the second droplets that are disposed in each of the test volume(s) of the second chip(s).
In some methods, for at least one of the microfluidic network(s), for at least one of the flow path(s), in at least one of the droplet-generating region(s) the flow path includes a constricting section, a constant section, and an expanding section such that liquid flowing from the first inlet port to the test volume is permitted to exit the constricting section into the constant section and flow to the expanding section. The depth of the constant section, in some methods, is at least 50% larger than the depth of the constricting section and, optionally, is substantially the same along at least 90% of a length of the constant section. The depth of the expanding section, in some methods, increases moving away from the constant section.
In some methods, for the first microfluidic chip, the microfluidic network comprises one or more outlet ports and one or more outlet channels in fluid communication between the test volume and the outlet port(s). Generating the first droplets, in some methods, is performed such that at least some of the first droplets flow from the test volume, through the outlet channel(s), and into the outlet port(s). Some methods comprise removing at least some of the first droplets from the outlet port(s).
The term “coupled” is defined as connected, although not necessarily directly, and not necessarily mechanically; two items that are “coupled” may be unitary with each other. The terms “a” and “an” are defined as one or more unless this disclosure explicitly requires otherwise. The term “substantially” is defined as largely but not necessarily wholly what is specified—and includes what is specified; e.g., substantially 90 degrees includes 90 degrees and substantially parallel includes parallel—as understood by a person of ordinary skill in the art. In any disclosed embodiment, the term “substantially” may be substituted with “within [a percentage] of” what is specified, where the percentage includes 0.1, 1, 5, and 10 percent.
The terms “comprise” and any form thereof such as “comprises” and “comprising,” “have” and any form thereof such as “has” and “having,” and “include” and any form thereof such as “includes” and “including” are open-ended linking verbs. As a result, an apparatus that “comprises,” “has,” or “includes” one or more elements possesses those one or more elements, but is not limited to possessing only those elements. Likewise, a method that “comprises,” “has,” or “includes” one or more steps possesses those one or more steps, but is not limited to possessing only those one or more steps.
Any embodiment of any of the apparatuses, systems, and methods can consist of or consist essentially of—rather than comprise/include/have—any of the described steps, elements, and/or features. Thus, in any of the claims, the term “consisting of” or “consisting essentially of” can be substituted for any of the open-ended linking verbs recited above, in order to change the scope of a given claim from what it would otherwise be using the open-ended linking verb.
Further, a device or system that is configured in a certain way is configured in at least that way, but it can also be configured in other ways than those specifically described.
The feature or features of one embodiment may be applied to other embodiments, even though not described or illustrated, unless expressly prohibited by this disclosure or the nature of the embodiments.
Some details associated with the embodiments described above and others are described below.
The following drawings illustrate by way of example and not limitation. For the sake of brevity and clarity, every feature of a given structure is not always labeled in every figure in which that structure appears. Identical reference numbers do not necessarily indicate an identical structure. Rather, the same reference number may be used to indicate a similar feature or a feature with similar functionality, as may non-identical reference numbers. Views in the figures are drawn to scale, unless otherwise noted, meaning the sizes of the depicted elements are accurate relative to each other for at least the embodiment in the view.
The sample can comprise one or more—optionally two or more—species of microorganisms, such as one or more species of bacteria and/or fungi, and can be taken from a non-sterile site of a patient. For example, the sample can include urine, sputum, skin, soft tissue, material collected from bronchoalveolar lavage (BAL), material collected from endotracheal aspiration (ETA), and/or the like, and can be an aqueous liquid. Because the sample may be taken from a non-sterile site, it may include both pathogenic and commensal microorganisms. As described in further detail below, sample analysis can be performed to determine whether the sample includes pathogenic microorganisms and, if present, to assess a phenotypic response of the pathogenic microorganisms to one or more test reagents (e.g., antibiotic susceptibility)—as distinguished from that of any commensal microorganisms in the sample—in a cost-effective, fast, and accurate manner, compared to conventional screening and testing techniques. The analysis can include screening a first portion (e.g., 50a) of the sample with a first device (e.g., 54) and (e.g., if pathogenic microorganisms are detected in the screen) testing a second portion (e.g., 50b) of the sample with a second device (e.g., 58) to determine a phenotypic response of the microorganism(s). In some methods the first portion of the sample can be further analyzed with a mass spectrometer (e.g., 62), whether or not phenotypic testing is performed.
The sample can be processed in preparation for the analysis, such as via size filtration. For example, the sample can be filtered using a filter having a pore size that is less than or equal to any one of, or between any two of, 15, 14, 13, 12, 11, 10, 9, 8, 7, or 6 μm (e.g., less than or equal to 10 μm). The sample can also (e.g., instead of size filtration) be centrifuged. To promote microorganism growth, the sample can be suspended in and/or diluted with a broth (e.g., such that the below-described first and/or second liquids comprise a broth).
Referring to
As a result of the droplet generation, each of one or more microorganisms of the first portion of the sample can be encapsulated within one of the first droplets. Substantially all of the encapsulating first droplets (e.g., 102) can include a single microorganism (and, optionally, progeny thereof). To facilitate analysis of the microorganism(s), each of the first droplets can have a relatively low volume—such as, for example, less than or equal to any one of, or between any two of, 10,000, 5,000, 1,000, 500, 400, 300, 200, 100, 75, or 25 picoliters (pL) (e.g., between 25 and 500 pL)—such that the concentration of microorganism(s) encapsulated by a first droplet is relatively high regardless of the microorganism concentration in the sample.
Some methods include a step 14 of capturing, with one or more sensors (e.g., 106), a first set of data indicative of the identity and quantity of the encapsulated microorganism(s) of the first portion of the sample (e.g., by analyzing the first droplets that are disposed in the test volume). The first liquid can include a reporter, such as viability indicator, having one or more characteristics (e.g., fluorescence) that change based on droplet conditions that can be affected by microorganism(s) encapsulated therein. Each of the species of microorganisms may affect droplet conditions differently (e.g., due to unique metabolic characteristics of the species) and, as such, each of the encapsulating droplets may exhibit a characteristic signature over time that depends on the species disposed therein. The sensor(s) can detect and measure these signatures, which can be used to assess the identity (e.g., based on the characteristic signature(s)) and quantity (e.g., based on the number of droplets exhibiting a microorganism-induced signature) of microorganism(s) of the first portion of the sample. The relatively low volume of the droplets can facilitate these measurements.
To illustrate, and referring additionally to
While resazurin is one example of a viability indicator that can be used in the screen, in other embodiments the viability indicator can comprise any suitable composition by which each of the encapsulating droplets can exhibit a characteristic signature (e.g., a characteristic fluorescent signature) indicative of the identity of the microorganism(s) encapsulated therein. Suitable viability indicators can comprise, for example, tetrazolium, coumarin, anthraquinone, cyanine, azo, xanthene, arylmethine, a pyrene derivative, a ruthenium bipyridyl complex, and/or the like.
Some methods include a step 18 of identifying at least one of the one or more species of the sample as a target species based on the first set of data. For example, the concentration of each of the one or more species in the sample can be calculated based on the first set of data and, if the concentration is greater than or equal to a threshold concentration—which can, but need not, be different for each of the species—the species can be identified as a target (e.g., pathogenic) species. For each of the species, the concentration can be assessed by determining the proportion of analyzed first droplets (e.g., those in the test volume) that encapsulate microorganisms of that species (e.g., as described above). Species present in concentrations below their respective threshold concentrations may be identified as commensal.
If it is determined that none of the species of microorganisms in the sample is pathogenic (e.g., the concentration thereof is below a threshold concentration), the sample need not be analyzed further (e.g., with the second device or mass spectrometer). By performing the screen in a device separate from that used for phenotypic analysis, sample analysis can be performed cost effectively. Consumables configured for phenotypic analysis (e.g., ASTs) can be relatively expensive, compared to the first chip. These costs may be unnecessary if the sample does not include pathogens—using the inexpensive first chip to make that determination may allow such unnecessary costs to be avoided. As described in further detail below, this multi-device analysis can be performed efficiently at least in part due to the use of the above-described microfluidic droplet analysis.
Referring to
Referring particularly to
The chip can be configured to permit vacuum loading of the first liquid. For example, before the first liquid is directed to the test volume of one of the microfluidic networks, gas in the test volume can be evacuated at least by reducing pressure at a first one of the inlet port(s) such that the gas flows from the test volume, through at least one of the flow path(s), and out of the first inlet port. The first liquid can be disposed in the first port such that the gas can pass through the liquid. Referring to
Prior to the pressure reduction, the pressure at the first port (and, optionally, in the test volume) can be substantially ambient pressure; to evacuate gas from the test volume, the pressure at the first port can be reduced below ambient pressure. For example, reducing pressure can be performed such that the pressure at the first port is less than or equal to any one of, or between any two of, 0.5, 0.4, 0.3, 0.2, 0.1, or 0 atm. Greater pressure reductions can increase the amount of gas evacuated from the test volume. During gas evacuation, the outlet port(s) of the microfluidic network can be plugged (e.g., to prevent the inflow of gas therethrough); in other embodiments, however, the chip can have no outlet ports.
To load the first liquid, pressure at the first port can be increased, optionally such that pressure at the first port is substantially ambient pressure after loading is complete. As a result, the first liquid can flow along the flow path(s) such that, for each of the flow path(s), at least a portion of the first liquid flows from the first port, through at least one droplet-generating region, and into the test volume. As the liquid is introduced into the test volume, the pressure within the test volume can increase until it reaches substantially ambient pressure as well. By achieving pressure equalization between the test volume and the environment outside of the chip (e.g., to ambient pressure), the position of the droplets within the test volume can be maintained for analysis without the need for additional seals or other retention mechanisms. Additionally, a negative pressure gradient can result because the pressure in the test volume can be below that outside of the chip after gas evacuation—this negative pressure gradient can reinforce seals (e.g., between different pieces of the chip) to prevent chip delamination and can contain unintentional leaks by drawing gas into a leak if there is a failure. Leak containment can promote safety when, for example, the first portion of the sample includes pathogens. In other embodiments, however, the chip can be loaded without gas evacuation.
The droplet-generating region(s) can be configured to form droplets in any suitable manner. For example, referring additionally to
The constricting section can be configured to facilitate droplet generation. As shown, for example, the constricting section can extend between an inlet and an outlet (e.g., 150a and 150b), the inlet being connected to a channel (e.g., 166) such that liquid can enter the constricting section from the channel (
Droplet formation can be achieved by expanding the liquid following constriction thereof. Along the flow path, liquid from the constricting section can enter an expansion region (e.g., 184) in which a minimum cross-sectional area (e.g., 186) of the flow path is larger than the minimum cross-sectional area of the flow path in the constricting section (
These depth variations can occur in a constant section and/or an expanding section of the flow path, where liquid flowing from one of the inlet port(s) to the test volume is permitted to exit the constricting section into the constant and/or expanding sections. In the embodiment shown in
The expanding section can expand such that, moving along the flow path toward the test volume, the depth of the expanding section increases from a first depth (e.g., 194a) to a second depth (e.g., 194b). The first and second depths can be, for example, the minimum and maximum depths of the expansion region, respectively. To illustrate, the expanding section can define a ramp (e.g., 198) having a slope (e.g., 202) that is angularly disposed relative to the constricting section by an angle (e.g., 206) such that the depth of the expanding section increases moving away from the constant section. That angle can be greater than or equal to any one of, or between any two of, 5°, 10°, 20°, 30°, 40°, 50°, 60°, 70°, or 80° (e.g., between 20° and 40°), as measured relative to a direction parallel to the centerline of the constricting section. The ramp can extend from the constant section (e.g., such that the first depth is substantially the same as the constant section's depth) to a point at which the expansion region reaches its maximum depth, which can be greater than or equal to any one of, or between any two of, 15, 30, 45, 60, 75, 90, 105, or 120 μm (e.g., between 65 and 85 μm). As shown, the ramp is defined by a (e.g., single) planar surface. Referring to
Referring additionally to
The droplet-generating region(s) can have other configurations to form droplets. For example, expansion of the liquid can be achieved with a constant section alone, an expanding section alone, or an expanding section upstream of a constant section. And while droplet generation can be achieved through expansion, in other embodiments the droplet-generating region(s) can be configured to form droplets in any suitable manner, such as via a T-junction (e.g., at which two channels—the first portion of the sample flowing through one and the non-aqueous liquid flowing through the other—connect such that the non-aqueous liquid shears the sample-containing liquid to form droplets), flow focusing, co-flow, and/or the like. In some of such alternative embodiments, the microfluidic network can include multiple inlet ports and the first portion of the sample and the non-aqueous liquid can be disposed in different inlet ports (e.g., such that they can meet at a junction for droplet generation). Other droplet generating techniques that do not use a microfluidic chip can be used as well.
Referring to
The analysis of the second portion of the sample can be performed using droplet microfluidics—for each of the aliquot(s), some methods include a step 22 of generating, with the second device, a plurality of second droplets (e.g., 98b) from a second liquid (e.g., 90b) that comprises the aliquot (which can be an aqueous liquid). This droplet generation can be performed in substantially the same manner as described above with respect to the first droplets. For example, the second portion of the sample can be introduced into an injection port (e.g., 222) of the second device (
Some methods include a step 26 of, for at least one of the aliquot(s), introducing a test reagent into at least some of the second droplets, optionally where for at least one of the aliquot(s) a test reagent is not introduced into the second droplets (e.g., to act as a control). This can be performed by introducing the test reagent into the aliquot (e.g., by pre-loading the microfluidic network with the test reagent or adding the test reagent to the aliquot before it reaches the microfluidic network) such that at least some of the second droplets, when generated, include the test reagent. Alternatively, droplets can be formed from the test reagent and merged with the second droplets.
The test reagent can be selected based on the phenotypic response under investigation. For example, when determining an appropriate treatment for a patient, the test reagent can comprise a drug such as an antibiotic (e.g., an antibacterial or an antifungal). When the test reagent comprises an antibiotic, the phenotypic response for analysis can include the susceptibility of the target species to the antibiotic. To illustrate, when multiple aliquots are used each of the aliquots can be exposed to a different antibiotic to determine which of the antibiotics is most effective at killing or inhibiting the growth of the target species. A test reagent need not be introduced into the second droplets formed from at least one of the aliquots—the aliquot(s) whose droplets do not include a test reagent can function as a control for the phenotypic analysis described below.
Some methods include a step 30 of capturing, with one or more sensors (e.g., 106), a second set of data indicative of a phenotypic response of the encapsulated microorganism(s) of the second portion of the sample to each of the test reagent(s). The second set of data can be captured in substantially the same manner as the first set of data. For example, the second liquid can include a viability indicator (e.g., resazurin) such that the encapsulating second droplets (e.g., 102b) exhibit a characteristic signature that varies over time (e.g., fluorescence over a second time period) based on the species of microorganism(s) encapsulated therein. The test reagent can affect the signature. To illustrate, when the test reagent comprises an antibiotic, the antibiotic may kill or inhibit the growth of the encapsulated microorganism(s) such that droplet conditions—and thus the characteristics of the viability indicator—differ from those that would exist without the test reagent. As an example, when the viability indicator comprises resazurin, a droplet including an antibiotic that kills encapsulated microorganism(s) may have a fluorescence similar to that of a droplet that does not encapsulate any microorganisms.
Referring to
Each of the microfluidic networks of the chips can be pre-loaded with the non-aqueous liquid and/or a test reagent. To prevent loss thereof, the inlet port of each of the networks can be sealed. The second device can include a piercer (e.g., 234) for each of the inlet ports—each of the piercers can be configured to break the seal of a respective one of the inlet ports such that one of the aliquots can be introduced therein (
Some methods include a step 34 of determining a phenotypic response of the target species to each of the test reagent(s). Because the phenotypic analysis can be performed after the initial screen—which may take one or more hours—and the microorganism(s) can replicate during that time, the concentration of microorganism(s) in the second portion of the sample may be different from that in the original sample. This can pose challenges for samples taken from non-sterile sites, which may include multiple species of microorganisms that have different replication rates. For example, a commensal (e.g., non-target) microorganism having a relatively fast replication rate may appear to be pathogenic (e.g., a target species) in the second portion of the sample due at least in part to that replication rate (e.g., which can yield higher concentrations of the commensal microorganism). The second set of data, alone, may thus be insufficient to ascertain which of the measurements are relevant (e.g., the measurements that illustrate the phenotypic response of the target, rather than non-target, species).
To address these challenges, the phenotypic response of the target species to the test reagent(s) can be determined at least by referencing the second set of data to the first set of data. Because the first set of data may reflect the original microorganism concentrations, referencing that data can facilitate interpretation of the second set of data such that the effect of the test reagent(s) on the target species can be ascertained and distinguished from their effect on any non-target species. For example, the first set of data can be referenced to determine which of the species is a target species and thus the characteristic signature (e.g., fluorescent signature) that is relevant for the analysis. Data indicating that for second droplets into which a test reagent was introduced there is a deviation from the relevant characteristic signature—regardless of whether there is a deviation in the characteristic signature of encapsulating droplet(s) that include non-target species—can evidence that the test reagent affects the target species.
To determine whether there is a deviation, the second set of data can include control data captured from second droplets formed from an aliquot where a test reagent was omitted, as described above. That control data can be indicative of the quantity of the encapsulated microorganism(s) that exist when not exposed to the test reagent. The data captured from the second droplets formed from the other aliquot(s)—into which a test reagent was introduced—can be referenced to the control data along with the first set of data to determine the effect of the test reagent(s) on the target species. For example, when data obtained from the analysis of the non-control aliquot(s) shows that for at least one of those aliquot(s) there is a deviation in the characteristic signature of the target species relative to the control (e.g., if there are fewer droplets exhibiting the relevant characteristic signature), it can be determined that the test reagent affects the target species. As an illustration, when the test reagent comprises an antibiotic and the relevant characteristic signature is not measured or fewer droplets exhibit the relevant characteristic signature compared to the control, it can be determined that the target species is susceptible to the antibiotic (e.g., because the characteristic signature of the target species, if alive and allowed to propagate, would have been detected in greater quantities) even if the antibiotic does not kill or inhibit the growth of non-target species. This cross-referencing is achievable at least in part because the first and second portions of the sample can be analyzed using droplet microfluidics, where each of the encapsulating first and second droplets can encapsulate a single species to yield the unique, characteristic signatures that permit differentiation.
This method of phenotypic analysis can be more accurate and efficient than conventional techniques. For example, because the microfluidic analysis is phenotypic (e.g., it directly measures the response of the target species to the test reagent), it can more accurately assess the effect of the test reagent (e.g., its effectiveness as an antibiotic) than genotypic techniques such as NAATs, which indirectly make these assessments based on genetic information. For example, genotypic techniques may not be able to account for mutations (e.g., evolution in resistance mechanisms). Additionally, by using droplet microfluidics, the phenotypic analysis can be faster and more efficient than conventional phenotypic tests such as microdilution and disk diffusion. Those tests may require additional culturing of the sample and isolation of the target species (e.g., by streaking the sample across a plate), which can be both time- and work-intensive. As described above, due to the low volume of each of the encapsulating droplets, the concentration of microorganism(s) therein can be relatively high such that additional culturing is unnecessary. And because droplet formation isolates the different species of microorganisms by encapsulating them such that the species can be differentiated, isolation of the target species before the phenotypic analysis (e.g., before an AST) may be unnecessary as well such that the analysis can be performed in significantly less time.
Referring additionally to
The location, on the plate, of one(s) of the removed first droplets that include encapsulated microorganism(s) can be determined. For example, a sensor (e.g., 106), such as an imaging sensor, can capture data—such as fluorescence measurements—indicative of the location of droplets that encapsulate the target species (
The removed first droplets can be dried on the plate such that substantially all of the liquid of the removed first droplet evaporates (e.g., by waiting for such evaporation to occur) (
Some methods include a step 42 of capturing spectrometry data, with the mass spectrometer, indicative of the identity of the encapsulated microorganism(s) of the removed first droplets (e.g., the identity of the target species). The spectrometry data can be captured by analyzing the ionized microorganism(s) while they are disposed on the plate (
The above specification and examples provide a complete description of the structure and use of illustrative embodiments. Although certain embodiments have been described above with a certain degree of particularity, or with reference to one or more individual embodiments, those skilled in the art could make numerous alterations to the disclosed embodiments without departing from the scope of this invention. As such, the various illustrative embodiments of the methods and systems are not intended to be limited to the particular forms disclosed. Rather, they include all modifications and alternatives falling within the scope of the claims, and embodiments other than the one shown may include some or all of the features of the depicted embodiment. For example, elements may be omitted or combined as a unitary structure, and/or connections may be substituted. Further, where appropriate, aspects of any of the examples described above may be combined with aspects of any of the other examples described to form further examples having comparable or different properties and/or functions, and addressing the same or different problems. Similarly, it will be understood that the benefits and advantages described above may relate to one embodiment or may relate to several embodiments.
The claims are not intended to include, and should not be interpreted to include, means-plus- or step-plus-function limitations, unless such a limitation is explicitly recited in a given claim using the phrase(s) “means for” or “step for,” respectively.
This application claims priority to U.S. Provisional Patent Application Ser. No. 62/889,414 filed Aug. 20, 2019, which is incorporated herein by reference in its entirety.
Number | Date | Country | |
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62889414 | Aug 2019 | US |