ABSTRACT
Neisseria gonorrhoeae is one of the most common bacterial sexually transmitted infections. The emergence of antimicrobial-resistant N. gonorrhoeae is an urgent public health threat. Currently, the diagnosis of N. gonorrhoeae infection requires expensive laboratory infrastructure, while antimicrobial susceptibility determination requires bacterial culture, both of which are infeasible in low-resource areas where the prevalence of infection is highest. Recent advances in molecular diagnostics, such as specific high-sensitivity enzymatic reporter unlocking (SHERLOCK) using CRISPR-Cas13a and isothermal amplification, have the potential to provide low-cost detection of pathogen and antimicrobial resistance. We designed and optimized RNA guides and primer sets for SHERLOCK assays capable of detecting N. gonorrhoeae via the porA gene and of predicting ciprofloxacin susceptibility via a single mutation in the gyrase A (gyrA) gene. We evaluated their performance using both synthetic DNA and purified N. gonorrhoeae isolates. For porA, we created both a fluorescence-based assay and lateral flow assay using a biotinylated fluorescein reporter. Both methods demonstrated sensitive detection of 14 N. gonorrhoeae isolates and no cross-reactivity with 3 non-gonococcal Neisseria isolates. For gyrA, we created a fluorescence-based assay that correctly distinguished between 20 purified N. gonorrhoeae isolates with phenotypic ciprofloxacin resistance and 3 with phenotypic susceptibility. We confirmed the gyrA genotype predictions from the fluorescence-based assay with DNA sequencing, which showed 100% concordance for the isolates studied. We report the development of Cas13a-based SHERLOCK assays that detect N. gonorrhoeae and differentiate ciprofloxacin-resistant isolates from ciprofloxacin-susceptible isolates.
IMPORTANCE
Neisseria gonorrhoeae, the cause of gonorrhea, disproportionately affects resource-limited settings. Such areas, however, lack the technical capabilities for diagnosing the infection. The consequences of poor or absent diagnostics include increased disease morbidity, which, for gonorrhea, includes an increased risk for HIV infection, infertility, and neonatal blindness, as well as an overuse of antibiotics that contributes to the emergence of antibiotic resistance. We used a novel CRISPR-based technology to develop a rapid test that does not require laboratory infrastructure for both diagnosing gonorrhea and predicting whether ciprofloxacin can be used in its treatment, a one-time oral pill. With further development, that diagnostic test may be of use in low-resource settings.
KEYWORDS: Neisseria gonorrhoeae, antimicrobial resistance, diagnostics, CRISPR
INTRODUCTION
Neisseria gonorrhoeae is one of the most common bacterial sexually transmitted infections worldwide (1). There were an estimated 87 million cases reported in 2016 (1), with the highest prevalence among low-resource settings (2 – 4), which is likely to be an underestimate due to under-reporting. The consequences of inadequately treated infection can be serious, ranging from pelvic inflammatory disease (5), infertility (6), and neonatal blindness (7), to an increased risk for HIV infection (8 – 13).
Furthermore, antimicrobial resistance in N. gonorrhoeae is a global public health threat (14, 15). N. gonorrhoeae has developed resistance to nearly all antimicrobials used in its treatment (16). Because culture is not routinely performed and standard-of-care nucleic acid amplification testing via polymerase chain reaction (PCR) does not provide information on antibiotic susceptibility, all N. gonorrhoeae infections in the United States are treated with third-generation cephalosporins, further driving selective pressure toward the emergence of resistance (16, 17). Recent reports of resistance to third-generation cephalosporins (18 – 22) have raised concern for untreatable infection. In response, the U.S. Centers for Disease Control and Prevention has increased the recommended dose of ceftriaxone for treating gonorrhea (23). However, the treatment of N. gonorrhoeae infection with antibiotics no longer empirically recommended due to high levels of resistance has been made possible by rapid molecular assays detecting genotypic markers of resistance (16, 17, 24). Use of such assays might reduce the spread of cephalosporin resistance (25).
Neither PCR for pathogen detection nor bacterial culture for susceptibility determination is available in most low-resource settings, as PCR requires expensive laboratory infrastructure and culture can be laborious and time intensive for N. gonorrhoeae (26). Consequently, the treatment of N. gonorrhoeae infection is limited to syndromic management in low-resource settings, which is insensitive for case finding (27 – 29) and further drives the emergence of antimicrobial resistance (16, 17). In fact, limited data suggest that low-resource areas have some of the highest prevalence of antimicrobial-resistant N. gonorrhoeae infections (30 – 32). Thus, the World Health Organization’s action plan for combating the emergence of antimicrobial resistance calls for the development of rapid molecular assays for pathogen detection and predicting antimicrobial susceptibility (33). Previous work has indicated that the porA gene may be a useful target for N. gonorrhoeae detection (34) and that phenotypic resistance to ciprofloxacin is predicted by the presence of a single-nucleotide polymorphism at codon 91 of the gyrase A (gyrA) gene (35, 36). Such testing, however, still requires PCR capabilities, which are generally inaccessible in low-resource settings.
Specific high-sensitivity enzymatic reporter unlocking (SHERLOCK) technology utilizes Cas13a, a CRISPR enzyme paired with isothermal amplification via recombinase polymerase amplification (RPA) (37, 38), a low-cost, sensitive, and field-deployable diagnostic technology (39, 40). Cas13a-based detection works via complementary binding of programmable CRISPR guide RNA (gRNA) sequences to target sequences, which activates the inherent Cas13a-mediated collateral cleavage of an RNA reporter (37, 41). Such assays can be employed with standard fluorescence reports or adapted for paper-based lateral flow detection (42). Moreover, Cas13a has been shown to have reduced tolerance for activation with increasing mismatches between gRNA and the template, which can facilitate discriminating between strains containing point mutations. In this study, we aimed to develop SHERLOCK assays for N. gonorrhoeae detection and gyrA genotype determination. We explored fluorescence-based and lateral flow readouts for each assay and evaluated their performance using N. gonorrhoeae synthetic DNA and purified isolates. We aimed for this work to be a first step toward developing methods for N. gonorrhoeae detection and antimicrobial resistance determination accessible anywhere in the world.
MATERIALS AND METHODS
Reagents and materials
Detailed information on reagents used and stock concentrations can be found in Tables S1 and S2.
Synthetic DNA preparation and DNA extraction from purified isolates
We tested assays using both synthetic N. gonorrhoeae DNA and purified N. gonorrhoeae isolates. We prepared synthetic DNA samples by serial dilution from commercially purchased (Integrated DNA Technologies, USA), double-stranded DNA (dsDNA) of the gyrA target region into nuclease-free water. We stored purified isolates in glycerol at −80°C prior to extraction. We extracted whole-genomic DNA from N. gonorrhoeae purified isolates using the DNeasy Blood and Tissue Kit (Qiagen, Germany). The starting volume for extraction was 400 µL, and extracted DNA was eluted into 100 µL of nuclease-free water. With each isolate, we were provided minimum inhibitory concentrations (MICs) in micrograms per milliliter for ciprofloxacin, obtained using standard methods, as well as the anatomic site of collection (Table 1). Additionally, we purchased non-gonococcal Neisseria isolates from American Type Culture Collection (ATCC), and the Massachusetts General Hospital Clinical Microbiology Laboratory cultured those isolates: N. meningitidis (ATCC 13077), N. perflava (ATCC 14799), and N. lactamica (ATCC 23970). The performance of the porA assay was also assessed on those isolates.
TABLE 1.
Year collected | Anatomic site | Ciprofloxacin MIC (µg/mL) a | Resistance interpretation | GyrA genotype (PCR) | GyrA concordance |
---|---|---|---|---|---|
2014 | Pharynx | ≤0.015 | Susceptible | Wild type | Yes |
2014 | Pharynx | ≤0.015 | Susceptible | Wild type | Yes |
2014 | Pharynx | ≤0.015 | Susceptible | Wild type | Yes |
2014 | Urethra | 8.000 | Resistant | Mutant | Yes |
2013 | Urethra | 8.000 | Resistant | Mutant | Yes |
2013 | Urethra | 8.000 | Resistant | Mutant | Yes |
2013 | Urethra | >16.000 | Resistant | Mutant | Yes |
2014 | Urethra | >16.000 | Resistant | Mutant | Yes |
2014 | Urethra | 8.000 | Resistant | Mutant | Yes |
2014 | Urethra | >16.000 | Resistant | Mutant | Yes |
2014 | Urethra | 8.000 | Resistant | Mutant | Yes |
2014 | Urethra | 8.000 | Resistant | Mutant | Yes |
2011 | Urethra | 16.000 | Resistant | Mutant | Yes |
2011 | Urethra | 16.000 | Resistant | Mutant | Yes |
2012 | Urethra | 16.000 | Resistant | Mutant | Yes |
2011 | Urethra | 16.000 | Resistant | Mutant | Yes |
2011 | Urethra | 16.000 | Resistant | Mutant | Yes |
2014 | Urethra | >16.000 | Resistant | Mutant | Yes |
2014 | Urethra | 1.000 | Resistant | Mutant | Yes |
2014 | Urethra | 1.000 | Resistant | Mutant | Yes |
2013 | Urethra | 1.000 | Resistant | Mutant | Yes |
2014 | Urethra | 16.000 | Resistant | Mutant | Yes |
2013 | Urethra | 16.000 | Resistant | Mutant | Yes |
Minimum inhibitory concentration.
We quantified the concentration of extracted N. gonorrhoeae DNA using quantitative polymerase chain reaction (qPCR). The forward and reverse primer sequences for the N. gonorrhoeae gyrA gene were 5′ GCGACGGCCTAAAGCCAGTG 3′ and 5′ GTCTGCCAGCATTTCATGTGAG 3′, respectively. Those primers were provided by a previous study (43). The qPCR mixtures contained 1× FastStart SYBR Green Master Mix (Sigma Aldrich, USA), 0.5 µM of each primer, and DNA template in a 1:9 template to master mix ratio. We adjusted the final qPCR volume to 10 µL with nuclease-free water and loaded in triplicate on a 384-well plate, which was run on a QuantStudio 6 (Applied Biosystems, USA) with the following cycle conditions: heat activation at 95°C for 3 minutes, 40 cycles of a denaturing step at 95°C for 15 seconds, an annealing step at 60°C for 1 minute, and an extension step at 72°C, followed by a final extension step at 68°C for 2 minutes. We collected amplification data during the second extension stage and analyzed those data using the standard curve module of the Applied Biosystems Analysis Software. We quantified isolates against a standard curve, which showed an average concentration of 1,000 copies per milliliter across isolates. Subsequently, we evaluated thermal DNA extraction by resuspending three purified isolates in 100 µL of nuclease-free water and heating the isolates to 95°C for 10 minutes in accordance with prior protocols (44).
Guide RNA and primer design for N. gonorrhoeae detection
Cas13a gRNAs have two components: the fixed “handle” region to which the Cas13a protein binds and a 28-nucleotide “spacer” region complementary to the target. The nucleotide sequence of the spacer can be chosen by the user to confer the specificity of the assay. We selected the porA gene of N. gonorrhoeae for pathogen detection as has been used previously (34). We used an online software package ADAPT (Activity-Informed Design with All-Inclusive Patrolling of Targets; https://adapt.run) (45), which applies an algorithm for optimal Cas13a gRNAs design, and selected three gRNAs from the output of that software targeting different locations in the porA gene.
We designed forward and reverse RPA primers using National Center for Biotechnology Information Primer-Basic Local Alignment Search Tool (BLAST), which were synthesized by Integrated DNA Technologies (USA). We developed two primer sets per guide location (total of six primer sets), which were 27–35 nucleotides in length. The primer sets had melting temperatures between 58°C and 68°C and produced amplicons of 140–200 base pairs in length. We appended a T7 RNA polymerase promoter sequence (5′ GAAATTAATACGACTCACTATAGG 3′) to the 5′ end of the forward primers of each set to allow for T7 transcription.
One-pot SHERLOCK assay
We performed SHERLOCK reactions using 45 nM C2c2 LwaCas13a (GenScript Biotech Corp, USA) resuspended in 1× storage buffer (SB: 50 mM Tris [pH 7.5], 600 mM KCl, 5% glycerol, and 2 mM dithiothreitol [DTT]) such that the resuspended protein was at 2.25 µM, 1 U/µL murine RNase inhibitor (NEB), 10 U/µL T7 RNA polymerase (Lucigen Corporation, USA), 136 nM RNaseAlert substrate v2 (ThermoFisher Scientific, USA), 1× SHINE Buffer {SHINE: 20 mM HEPES [4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid] (pH 8.0), 60 mM KCl, and 5% polyethylene glycol (PEG)}, and 2 mM of each rNTP (NEB).
We rehydrated the TwistAmp Basic Kit lyophilized pellets (one pellet per 73.42-µL master mix volume) using the prepared master mix. We added 14 mM MgAOc (TwistDx, United Kingdom) after resuspension to activate the RPA pellets. We then subdivided the master mix for each guide-primer set pair being analyzed, to which we added 22.5 nM gRNA (Integrated DNA Technologies, USA) and 320 nM each of the RPA primers (Integrated DNA Technologies, USA). We prepared SHERLOCK reactions to 70 µL and loaded as 20-µL triplicates into a 384-well plate, with a ratio of 1:5 master mix to sample. We measured fluorescence by the BioTek Cytation 5 plate reader (BioTek, USA) over 3 hours at 37°C, with readings every 5 minutes (excitation, 485; emission, 528) for quantitative detection.
Lateral flow detection
To convert to lateral flow readout, we modified the SHERLOCK master mix to exchange substrate v2 for a biotinylated fluorescein (FAM) reporter at a final concentration of 1 µM. We incubated samples at 37°C for 90 minutes per existing protocols to allow for optimal RPA amplification. Following incubation, we added 80-µL HybriDetect assay buffer (Milennia Biotec, Germany) to each sample in a 1:5 dilution along with a HybriDetect lateral flow strip (Milennia Biotec, Germany). We inspected strips and took images using a smartphone camera 3–5 minutes after the strips were added.
Confirmatory DNA sequencing
We performed whole-genome sequencing on extracted DNA samples following the Illumina DNA Prep manufacturer protocol (Illumina, USA). We constructed and pooled libraries using the Illumina DNA Prep Kit. We measured library concentrations on a Qubit4 Fluorometer using the Qubit High Sensitivity 1× dsDNA kit (ThermoFisher Scientific, USA), while we measured the average library size on an Agilent TapeStation 4150 using the Agilent High Sensitivity D1000 ScreenTape kit (Agilent Technologies, USA). We conducted genomic sequencing on an Illumina MiniSeq instrument (Illumina, USA).
Data analysis
We subtracted baseline fluorescence (at 0 minutes) from fluorescence values through reaction progression. We averaged the final 10 fluorescence values of each replicate to provide the reported fluorescence values. We compared mean differences in fluorescence using Student’s t-test, with significance defined as P < 0.05. We interpreted lateral flow readouts by visual inspection. We generated all figures in PRISM Software version 9.5.1 (GraphPad, USA).
RESULTS
N. gonorrhoeae detection via a Cas13a-based porA assay
To create an assay for N. gonorrhoeae detection, we first designed six porA primer-guide pairs and evaluated their performance, both in terms of high sensitivity and low cross-reactivity, using a fluorescence-based readout (Fig. 1). We performed initial testing on three purified N. gonorrhoeae isolates using both negative template controls as well as synthetic gyrA as a positive control. We selected guide 2 primer set 2 as it produced both a high fluorescent signal and excellent discrimination between synthetic N. gonorrhoeae purified isolates and the negative controls. We excluded guide 3 primer set 1 due to cross-reactivity with the gyrA control.
Having selected our gRNA and primer set for porA detection, we evaluated the limit of detection (LoD) using serial dilutions in nuclease-free water as well as the detection of purified N. gonorrhoeae isolates using a fluorescence-based readout. The porA assay had an LoD of 10,000 copies per milliliter (Fig. 2a). We then tested the assay on 14 purified isolates and 3 non-gonococcal Neisseria isolates: N. meningitidis, N. perflava, and N. lactamica. The assay detected all 14 N. gonorrhoeae isolates, with peak fluorescence occurring after 20 minutes and did not detect any of the non-gonococcal Neisseria isolates.
We then assessed the N. gonorrhoeae porA detection assay using a lateral flow readout, substituting the standard fluorescence reporter with a biotinylated FAM reporter compatible with the test strips. Based on prior protocols, we allocated 90 minutes for the assay. Visual inspection of the test strips 3–5 minutes after specimen introduction revealed detection of all 14 purified isolates tested in triplicate (Fig. 3a) and excellent discrimination between N. gonorrhoeae and three non-gonococcal Neisseria isolates (Fig. 3b).
Having shown that we can develop a lateral flow-based N. gonorrhoeae detection assay, we explored the possibility of simplifying upstream DNA extraction to facilitate deployment in low-resource settings. To do so, we evaluated fluorescence N. gonorrhoeae detection on three purified isolates that underwent thermal DNA extraction. We quantified the DNA extracted using PCR and found DNA concentrations above 1,000,000 copies per milliliter. All three of those isolates were detected using the selected guide-primer set combination.
GyrA genotype determination via a Cas13a-based assay
To create an assay for predicting N. gonorrhoeae resistance to ciprofloxacin, we first designed two guide pairs (wild type and mutant) to target the point mutation in codon 91 of the gyrA gene and three flanking primer sets. We placed the mutation of interest three nucleotides distal to the Cas hairpin, previously shown to be the optimal position (46). We placed an additional synthetic mismatch in either the second position or the fourth position of the spacer region. We elected to design the guides manually instead of using ADAPT, given the precise mutation of interest was known. Placing the synthetic mutation at the second position produced the highest fluorescence and greatest discrimination between the wild-type and mutant synthetic DNA targets (Fig. S1). We tested three forward and reverse primer sets for use with that guide and selected the set that produced the highest fluorescence signal and greatest discrimination between the wild-type and mutant synthetic DNA targets (Fig. S2). We evaluated the in vitro LoD of the fluorescence-based gyrA assay via serial dilutions in nuclease-free water of synthetic wild-type and mutant DNA targets. The gyrA assay had an LoD of 1,000,000 copies per milliliter for both wild-type and mutant targets (Fig. 2b).
To further assess the performance of the gyrA assay, we analyzed 23 purified N. gonorrhoeae isolates with susceptibility to ciprofloxacin determined phenotypically by culture and genotypically by sequencing to detect mutation codon 91 of the gyrA gene. We used a standard MIC breakpoint of ≥1 µg/mL to define ciprofloxacin resistance (Table 1) (47). Of the 23 isolates, 20 with MICs between 1 and >16 µg/mL were deemed resistant, and three with MICs <0.015 µg/mL were deemed susceptible. Of the 20 N. gonorrhoeae isolates with MICs ≥1 µg/mL, 100% had mutant gyrA genotypes by DNA sequencing. Of the 3 N. gonorrhoeae isolates with MICs <0.015 µg/mL, 100% had no mutation at codon 91 of the gyrA gene by DNA sequencing. Figure S3 shows the phylogenetic tree of the 23 N. gonorrhoeae isolates, demonstrating that the phylogenetically diverse isolates on which the Cas13a-based assay was tested.
We evaluated the discrimination of the selected wild-type and mutant Cas13a guides for codon 91 of the gyrA gene among all 23 isolates. All of the 20 ciprofloxacin-resistant gyrA mutant specimens were detected by the mutant Cas13a assay, while none of the three wild-type isolates were detected by the mutant Cas13a assay, showing a 100% agreement. Figure 4 shows the pooled performance among all specimens, while Fig. S4 shows the performance on each individual specimen. Figure 5 shows the DNA sequence alignment for all 23 isolates with the wild-type and mutant gRNAs.
We next aimed to convert the gyrA resistance assay into a portable format suitable for use in resource-limited settings. We tested a lateral flow format, again substituting the standard fluorescence reporter with a biotinylated FAM reporter compatible with the test strips. Figure 6a shows the performance of the gyrA lateral flow on three purified isolates (one with known phenotypic and genotypic susceptibility to ciprofloxacin and two with known resistance). We tested each isolate in duplicate. The wild-type guide failed to discriminate visually between resistant and susceptible isolates. The mutant guide demonstrated promising discrimination; however, we detected a faint positive line in the susceptible isolate.
Given the technical limitations of our gyrA assay using a lateral flow readout, we evaluated the performance of the assay using a portable quantitative fluorescence detector. Such a detector, the Qubit 4 Fluorometer (ThermoFisher Scientific, USA), would permit low-cost detection in the absence of a plate reader (Cytation 5, BioTek, USA). We incubated our one-pot SHERLOCK reaction for 90 minutes at 37°C and then transferred the reaction to Qbit Assay tubes, diluted with nuclease-free water to 200 µL. We measured green fluorescence detection on the blue excitation setting (430–495 excitation filter; 510–580 emission filter). Figure 6b shows successful discrimination for both the wild-type and mutant isolates using that method.
DISCUSSION
We report the development of a Cas13a-based lateral flow N. gonorrhoeae detection assay able to detect 100% of tested isolates, which did not amplify closely related Neisseria species. That assay offers the potential to introduce pathogen-specific diagnostics into low-resource settings that lack infrastructure for complex laboratory-based testing. More work is needed to establish the sensitivity and specificity of the assay in a clinical setting and to optimize its performance to meet World Health Organization standards for point-of-care tests (48). That includes the development of methods that could omit an extraction step and minimize time to detection. Our preliminary results indicate that thermal extraction is a promising strategy. While 90 minutes was allocated for the lateral flow incubation to standardize our findings with prior protocols, peak fluorescence was noted at 20 minutes, indicating that the assay could provide rapid results in the field.
We also report the development of a Cas13a-based fluorescence detection assay with excellent discrimination of wild-type and mutant gyrA genotype isolates for predicting ciprofloxacin resistance. That assay showed a 100% agreement with both phenotypically and genotypically determined resistance to ciprofloxacin. Given the urgent need to combat antimicrobial-resistant N. gonorrhoeae infections (14, 15) and the high burden of resistance in resource-limited settings (30 – 32), such an assay may permit resistance-guided therapy without expensive laboratory equipment. While promising, the lateral flow Cas13a gyrA assay was not able to discriminate between wild-type and mutant genotypes as definitively and will require further optimization. Iterative adaptations of guide sequences and position of the mutation of interest and of the synthetic mutation relative to the Cas hairpin may improve the specificity of the assay for the mutant gyrA genotype on the lateral flow platform. Additional optimization will also be required to reduce the time involved in running the assay.
As an alternative field-deployable method for determining ciprofloxacin resistance, we devised a method for portable fluorescence of gyrA genotypes that overcame the limitations of the lateral flow format for that assay. The portable fluorometer Cas13a gyrA assay showed excellent discrimination between sensitive and resistant genotypes and can be implemented in resource-limited settings much more easily than qPCR or the BioTek Cytation 5 plate reader. While more expensive than paper-based assays and electricity dependent, the fluorescence-based approach would still permit rapid and portable gyrA genotyping of N. gonorrhoeae specimens. With minor modifications, such as lyophilization of reagents and optimization of reaction conditions, we believe that some resource-constrained areas with basic laboratory infrastructure could consider assessing the feasibility of N. gonorrhoeae detection and gyrA genotyping using that assay format.
Our study had several important limitations. First, while we report on the in vitro performance of two newly described assays, our study evaluated the performance of those assays on a small number of isolates, thus limiting the precision of our findings. Moreover, the clinical utility remains to be determined and requires evaluation in a clinical setting. The processing required of those specimens will be of particular relevance for low-resource settings with limited laboratory infrastructure. However, while other rapid diagnostics for sexually transmitted infections are increasingly available (49), none has been sufficiently low cost, timely, and user friendly to be optimally suited for low-resource settings, and few have attempted to incorporate detection of molecular markers of resistance (50). Thus, our results may provide the groundwork for introducing point-of-care resistance-guided therapy into settings previously constrained to syndromic management.
Conclusion
We developed a paper-based lateral flow Cas13a assay for detecting N. gonorrhoeae, which was able to detect N. gonorrhoeae purified isolates and discriminate between other Neisseria species. We also developed a fluorescence-based Cas13a assay for determining gyrA genotype, which demonstrated excellent discrimination for both phenotypic and genotypic ciprofloxacin resistance among purified isolates.
ACKNOWLEDGMENTS
The authors would like to acknowledge Kevin Ard and Jana Jarolimova for their support of this project as well as Benjamin Kotzen for his assistance with Fig. 5.
This work was supported in part by the Massachusetts General Hospital Department of Medicine Innovation Program grant to R.G., NIH NIAID U19AI110818 to P.C.S., and grants 2019123 and 2021287 from the Doris Duke Charitable Foundation to J.E.L.
P.C.S. is a co-founder of, shareholder in, and consultant to Sherlock Biosciences and Delve Bio, as well as a board member of and shareholder in Danaher Corporation. J.E.L. previously served as a consultant to SHERLOCK Biosciences. J.B. has received research funding from Analog Devices, Inc., Zeus Scientific, Immunetics, Pfizer, DiaSorin, and bioMerieux and has been a paid consultant to T2 Biosystems, DiaSorin, and Roche Diagnostics. The remaining authors have nothing to disclose.
Contributor Information
Lao-Tzu Allan-Blitz, Email: lallan-blitz@partners.org.
Jacob E. Lemieux, Email: jelemieux@partners.org.
Patricia A. Bradford, Antimicrobial Development Specialists, LLC, Nyack, New York, USA
ETHICS APPROVAL
The Mass General Brigham Institutional Review Board approved this study under protocols 2019P003305 and 2020P000323.
SUPPLEMENTAL MATERIAL
The following material is available online at https://doi.org/10.1128/msphere.00416-23.
ASM does not own the copyrights to Supplemental Material that may be linked to, or accessed through, an article. The authors have granted ASM a non-exclusive, world-wide license to publish the Supplemental Material files. Please contact the corresponding author directly for reuse.
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