ABSTRACT
Agar dilution is a reference susceptibility testing method uniquely or preferentially recommended for certain antimicrobials. However, the effort required to pour individual agar plates spanning a doubling dilution range precludes its practical implementation in hospital clinical laboratories. Here, we describe an on-demand replacement for agar dilution, specifically substituting Poloxamer 407 (also known as Pluronic F-127) for Bacto agar as the solidifying agent. Notably, 20% Poloxamer 407 solutions (e.g., with Mueller–Hinton broth) remain liquid at refrigerated temperatures but solidify upon warming, enabling facile setup of poloxamer dilution testing in Petri dish or microwell format. For fosfomycin susceptibility testing, poloxamer dilution and reference agar dilution showed excellent categorical agreement (CA) and essential agreement (EA) for Escherichia coli (100% and 87%, respectively, n = 31). For other Enterobacterales, excluding Klebsiella spp., CA and EA were both 82% (n = 17, respectively). For Pseudomonas aeruginosa, CA and EA were 60% and 100% (n = 10), respectively, with the lower CA reflecting the large number of strains tested with minimal inhibitory concentrations near categorical breakpoints. There were no very major errors, while major errors were only observed for Klebsiella spp. Additionally, poloxamer dilution substantially reduced the number of skipped dilutions sixfold for E. coli (P < 0.0001) and inhibited swarming of Proteus spp. We conclude that poloxamer dilution and agar dilution, an imperfect gold standard, have essentially equivalent practical performance and that poloxamer dilution can therefore serve as an on-demand alternative testing methodology in clinical laboratories for fosfomycin testing of gram-negative pathogens. A broader exploration of poloxamer dilution’s utility is thus warranted.
IMPORTANCE
Accurate antibiotic susceptibility testing is essential for guiding treatment of bacterial infections. For the antibiotic fosfomycin, used to treat Escherichia coli urinary tract infections, the most reliable testing method requires solid media prepared by hand for each antibiotic concentration, which is too time-consuming for most clinical laboratories to perform. Our study shows that replacing agar with an alternative temperature-sensitive gelling agent called poloxamer enables laboratories to prepare solid test plates rapidly without special equipment. This approach, which is essentially identical to traditional agar dilution, provides a practical means for performing reference-quality minimal inhibitory concentration (MIC) testing near the point of patient care, as demonstrated for fosfomycin, for which current FDA-cleared methods do not provide MIC data. This strategy may also be applicable to other drugs for which agar dilution is the preferred testing method, supporting expedited testing to inform treatment decisions for bacterial infections.
KEYWORDS: Poloxamer 407, Pluronic F-127, agar dilution, antimicrobial susceptibility testing, fosfomycin, Mueller–Hinton medium, gram-negative bacteria, Enterobacterales, Pseudomonas aeruginosa, clinical microbiology laboratory
INTRODUCTION
Antimicrobial resistance is emerging as a significant concern for the treatment of bacterial infections. To identify appropriate therapies for bacterial infections, clinical laboratories must therefore routinely conduct antimicrobial susceptibility testing (AST) on patient isolates. Manually prepared broth or agar antimicrobial susceptibility testing panels are considered the reference gold standard for the determination of minimal inhibitory concentration (MIC) values (1). In broth microdilution, the MIC is defined as the lowest concentration of an antimicrobial that visibly inhibits bacterial growth after a specified incubation period (1–3). For agar dilution, the MIC corresponds to the lowest agar plate concentration, in a twofold dilution series, that shows no visible growth of the test isolate. MICs are categorized as susceptible, susceptible dose-dependent, intermediate, or resistant based on CLSI, FDA, or EUCAST standards to guide antibiotic therapy selection.
Existing reference AST methods are labor intensive and technically complex, precluding their use in most hospital clinical laboratories near the site of patient care. Therefore, standard hospital-based clinical laboratory AST is generally performed using automated commercial platforms based on variants of broth dilution testing or alternatively by disk diffusion or gradient diffusion methods (4). However, these methods may not be appropriate for testing diffusion-limited drugs.
For certain drug–organism combinations, agar dilution is either the only or the preferred CLSI testing method (1–3). A prominent example is fosfomycin, an antimicrobial commonly prescribed for treatment of uncomplicated urinary tract infections (uUTIs) for which agar dilution serves as the reference method. Broth microdilution and gradient diffusion methods exhibit suboptimal accuracy and reproducibility. However, agar dilution itself is associated with a high frequency of skipped dilutions (the equivalent of “skipped wells” in broth microdilution testing) (5, 6), which precludes the reliable use of single-concentration agar breakpoint screening plates, as such irregularities could yield unrecognized errors.
CLSI fosfomycin disk diffusion breakpoints are available for Escherichia coli and Enterococcus faecalis, but not for other organisms, because the drug’s FDA approval is limited to treatment of uUTI caused by these pathogens. Moreover, disk diffusion-based methods correlate poorly with agar dilution testing outside these organism groups (7). Nevertheless, because fosfomycin may be the only oral agent with potential activity against certain gram-negative urinary pathogens, clinical laboratories are frequently asked to extrapolate E. coli disk diffusion breakpoints to other organisms.
It would be ideal if accurate fosfomycin MIC results for E. coli and other organisms could be generated near the site of patient care. This need arises because reference laboratory testing results are necessarily delayed, and reference laboratories also generally do not perform MIC testing in the absence of species CLSI breakpoints. While CLSI interpretive breakpoints for fosfomycin are limited, determination of reference MIC values remains clinically informative and is commonly used to support expert consultation, pharmacokinetic (PK)–pharmacodynamic (PD) assessment, and off-label therapy decisions for multidrug-resistant gram-negative urinary tract infections, consistent with CLSI guidance and EUCAST principles regarding MIC distributions and PK/PD-based interpretation in the absence of clinical breakpoints (3, 8, 9).
We have identified a potential way to address this issue based on technology developed in prior work. Previously, our group developed a rapid microscopy-based antimicrobial susceptibility testing platform that met FDA accuracy criteria within 4 hours of organism inoculation (10). As part of this work, we found that organisms could reliably grow on an optically clear Mueller–Hinton medium solidified with Poloxamer 407, which fully supported the growth of a wide range of gram-negative and gram-positive pathogens. Poloxamer 407 possesses a unique and beneficial physical property in solution: it remains liquid when refrigerated but transitions to a solid gel at higher temperatures (11–13). We therefore hypothesized that a cold, sterile liquid poloxamer stock solution could substitute for standard Bacto agar as the solidification reagent, providing a flexible and readily implemented alternative to agar dilution.
The potential advantages of such a solidification agent are numerous. Poloxamer media aliquots can be sterilized by autoclaving and stored at 4°C until use, then gently mixed with doubling dilutions of antibiotics, solidified at room temperature in less than 30 minutes, and subsequently inoculated and read using standard agar dilution protocols. This approach could therefore enable an agar dilution-equivalent method that can be prepared easily and on demand, eliminating the need for the repetitive, time-consuming process of autoclaving media, holding molten agar at a narrow temperature range, and manually incorporating doubling dilutions of antibiotics.
We therefore sought to validate poloxamer dilution technology compared with reference agar dilution testing using fosfomycin antimicrobial susceptibility testing as a representative use case.
MATERIALS AND METHODS
Bacterial strains
Fosfomycin-susceptible E. coli ATCC 25922 and E. faecalis ATCC 29212 were obtained from the ATCC. E. coli AR-346 and AR-549 are fosfomycin-resistant fosA isolates obtained from the FDA-CDC AR Bank collection (14). An additional 78 de-identified, colony-purified clinical isolates were retrieved from the Beth Israel Deaconess Medical Center Clinical Microbiology Laboratory, as listed in Table S1, under an IRB-approved protocol. These comprised Escherichia coli (n = 31), Klebsiella spp. (n = 20), Pseudomonas aeruginosa (n = 10), Proteus spp. (n = 8), Citrobacter spp. (n = 4), Enterobacter cloacae complex (n = 2), and one isolate each of Providencia rettgeri, Salmonella spp., and Morganella morganii.
Media preparation
The following reagents were used for media preparation: Pluronic F-127 (Sigma-Aldrich; P2443-250G, lot BCBV1572), non-cation-adjusted Mueller–Hinton broth (BD Difco; 275730, lot 3150802), Bacto agar (BD DF0140-15-4), D-glucose 6-phosphate potassium salt (Sigma-Aldrich; G6526-1G, lot SLBH9805V), and fosfomycin disodium salt (Sigma-Aldrich; P5396, lot 125M4169).
Base media preparation
Mueller–Hinton–poloxamer base
Poloxamer 407 was dissolved in deionized water to a final concentration of 25% (wt/vol) by stirring overnight at 4°C. One-fifth volume of 5× Mueller–Hinton broth (10.5% wt/vol) was then added to yield a final mixture containing 20% Poloxamer 407 and 1× Mueller–Hinton broth. Filter-sterilized D-glucose-6-phosphate potassium salt was added to a final concentration of 25 µg/mL. The solution was autoclaved, cooled, and stored at 4°C in liquid form until use.
Agar dilution base
Mueller–Hinton agar was prepared by combining Mueller–Hinton broth with 1.5% (wt/vol) Bacto agar, autoclaving, and maintaining the molten medium at ~50°C in a water bath. Filter-sterilized D-glucose-6-phosphate potassium salt was then added to a final concentration of 25 µg/mL.
Agar dilution plates
Doubling dilutions of fosfomycin (512–0.25 µg/mL) were prepared by adding appropriate volumes of filter-sterilized fosfomycin stock to aliquots of agar dilution base medium. Plates (15 mL per plate) were poured, allowed to solidify at room temperature, and used the following day.
Poloxamer dilution plates
For poloxamer dilution plates, filter-sterilized fosfomycin stock was added to pre-made Mueller–Hinton poloxamer base aliquots stored at 4°C, gently mixed by swirling, and dispensed into plates (15 mL per plate). Plates were allowed to solidify at room temperature prior to use.
Accuracy and precision analysis
Fosfomycin susceptibility testing of all controls and clinical isolates (n = 82) was performed in parallel using the poloxamer dilution and agar dilution method reference method. For all clinical isolates examined, susceptibility testing was repeated three times, with each biological replicate performed on a separate day and both methods conducted in parallel. Prior to each day of testing, isolates were re-streaked on non-selective blood agar plates and incubated at 37°C for 18–24 hours. Single colonies from isolates were suspended in sterile Mueller–Hinton broth to 0.5 McFarland using a bioMérieux DensiCHEK Plus instrument. Dilutions of the suspensions (1:10) were loaded into inoculum wells of a sterilized Steers replicator, allowing delivery of 2 µL or 104 CFU per spot onto poloxamer dilution and agar dilution doubling plates in parallel in 35 isolate batches. Plates were incubated at 37°C for 16–20 hours and visually scored to determine the MIC of each strain, defined as the lowest antimicrobial concentration at which bacterial growth was completely inhibited. E. coli ATCC 25922 and E. faecalis ATCC 29212 were also tested in parallel with each experiment and were within acceptable quality control ranges for both poloxamer dilution and agar dilution for all experiments. Two fosfomycin-resistant, fosA AR-Bank E. coli isolates and a fosfomycin-susceptible E. coli clinical isolate were also included on each day of testing.
Raw growth/no-growth reads for each replicate are provided in Table S2, and replicate-specific MIC determinations derived from these reads are shown in Table S3. For method comparison, a single consensus MIC was assigned to each isolate for each method (Table S1). If at least two of the three replicates agreed, the modal MIC was used. If all replicate MICs differed or only two valid replicates were available (e.g., due to skipped dilutions) and they disagreed, the median doubling dilution (rounded to the nearest dilution when between tested values) was assigned. Skipped dilutions were handled per CLSI M07 guidelines with the MIC read above the highest concentration with observed growth. Isolate readings with more than one consecutive or non-consecutive skipped dilutions were considered invalid. These consensus MICs were then compared between poloxamer dilution and agar dilution to calculate essential agreement (EA, ±1 doubling dilution) and categorical agreement (CA) according to established guidelines (15). For all agreement calculations, agar dilution results were used as the reference standard. Results were also considered in EA if both poloxamer dilution and agar dilution yielded the same off-scale results (i.e., >512). CA was established if both poloxamer dilution and agar dilution yielded the same categorical result. Very major errors (VMEs) were defined as poloxamer dilution susceptible and agar dilution resistant, major errors as poloxamer dilution resistant and agar dilution susceptible, and minor errors as one result intermediate and the other susceptible or resistant. Wilson score confidence intervals were calculated using RStudio.
Precision essential agreement (PEA) analysis for the entire data set was determined by assessing consistency among triplicate MIC determinations for each isolate. PEA was defined as all three replicates yielding MICs within ±1 doubling dilution of each other. Precision categorical agreement (PCA) was defined as all three replicates yielding the same categorical interpretation. If only two biological replicates of the MIC determination were valid, PEA and PCA were scored if both replicates were in agreement. Isolates with only one valid replicate were excluded from precision analyses. For each method, the proportion of isolates demonstrating PEA and PCA was calculated, and proportions were compared between the agar dilution and poloxamer dilution methods using the Exact McNemar’s Test in RStudio. A P value of <0.05 was considered statistically significant.
Statistical analysis was performed using the indicated methods in R (R Core Team, Vienna, Austria) in RStudio (Posit Software, PBC, Boston, MA).
RESULTS
Verification results
The accuracy of fosfomycin poloxamer dilution compared with agar dilution was evaluated against 78 isolates of species commonly isolated from urinary tract infections. Categorical and essential agreements are summarized in Table 1. An example of a poloxamer dilution plate is shown in Fig. 1.
TABLE 1.
Percent accuracy of poloxamer dilution compared with reference agar dilutionb
| Species | Total n | % CA (95% CI)a | % VME (95% CI) | % ME (95% CI) | % MinE (95% CI) | % EA (95% CI) |
|---|---|---|---|---|---|---|
| E. coli | 31 | 100.0 (89.0–100.0) | 0 (0.0–11.0) | 0 (0.0–11.0) | 0 (0.0–11.0) | 87.1 (71.1–94.9) |
| Klebsiella spp. | 20 | 60.0 (38.7–78.1) | 0 (0.0–16.1) | 10 (2.8–30.1) | 30.0 (14.5–51.9) | 55.0 (34.2–74.2) |
| Other Enterobacterales | 17 | 82.4 (59.0–93.8) | 0 (0.0–18.7) | 0 (0.0–18.7) | 17.7 (6.2–41.0) | 82.4 (59.0–93.8) |
| P. aeruginosa | 10 | 60.0 (31.2–83.1) | 0 (0.0–27.8) | 0 (0.0–27.8) | 40.0 (16.8–68.7) | 100.0 (77.2–100.0) |
CLSI interpretive criteria for fosfomycin are established only for E. coli (and Enterococcus faecalis). For Klebsiella pneumoniae and other organisms, categorical agreement determinations are based on application of E. coli breakpoints to allow method-to-method comparison. No accepted clinical breakpoints exist for these species.
ME, major error; MinE, minor error.
Fig 1.
Poloxamer dilution testing example. A representative poloxamer dilution plate inoculated with a Steers replicator is shown. Each spot of contained growth is a unique clinical isolate. Visibly apparent production of pyoverdine in P. aeruginosa isolates (arrowhead) can be observed on optically clear poloxamer media.
Accuracy was high for E. coli, additional Enterobacterales species examined, and P. aeruginosa (Table 1). No VME were observed. Two major errors were observed for Klebsiella pneumoniae. E. coli strains, with the exception of the two pre-selected fosA strains from the AR Bank (MIC >512 µg/mL for both methods), were all highly susceptible, and EA and CA were 87% and 100%, respectively (n = 31). There was lower CA for P. aeruginosa and Klebsiella spp., likely reflecting MICs clustering near fosfomycin interpretive criteria extrapolated from E. coli. EA was also lower for Klebsiella spp. based on several strains which tested at >512 µg/mL for poloxamer dilution and 256 or 128 µg/mL by agar dilution. Overall, there was a bias toward higher and, therefore, more conservative poloxamer dilution MICs compared with agar dilution, demonstrated in the scatterplot for all data (Fig. 2). Individual scatterplots for E. coli, K. pneumoniae, other Enterobacterales, and P. aeruginosa are provided in Table S4. Skipped dilutions, as has been previously observed for agar dilution (5), occurred with agar dilution and poloxamer dilution inconsistently among biological replicates (Table S2). For E. coli, single and double skipped dilutions were approximately six times more frequent for agar dilution than poloxamer dilution (Table 2; P < 0.0001 and P = 0.02, respectively; Fisher’s exact test). Proteus swarming was completely inhibited on poloxamer dilution at 16–20 hours of incubation, whereas characteristic concentric swarming was observed on agar dilution under the same conditions (Fig. 3).
Fig 2.
Scatterplot of poloxamer dilution versus agar dilution MIC results. There was a slight positive bias (more conservative MIC call) for poloxamer dilution compared with agar dilution. Per-species breakdown is provided in the supplemental data (see Table S4). E. coli isolates ATCC 25922, AR-346, and AR-549 are not shown but were all observed to be in EA and CA.
TABLE 2.
Percentage of single skipped dilutions observed in testing events for poloxamer versus agar dilutiona
| Species | Method | n | Single skipped dilutions (%) | P value | 2+ skipped dilutions (%) | P value |
|---|---|---|---|---|---|---|
| E. coli | Agar | 90 | 33 (36.7) | 0.000 | 11 (12.2) | 0.018 |
| Poloxamer | 90 | 6 (6.7) | 2 (2.2) | |||
| Klebsiella spp. | Agar | 60 | 13 (21.7) | 0.132 | 4 (6.7) | 0.119 |
| Poloxamer | 60 | 6 (10.0) | 0 (0.0) | |||
| P. aeruginosa | Agar | 30 | 8 (26.7) | 0.333 | 4 (13.3) | 0.353 |
| Poloxamer | 30 | 4 (13.3) | 1 (3.3) | |||
| Proteus spp. | Agar | 24 | 1 (4.2) | 0.097 | 0 (0.0) | 0.489 |
| Poloxamer | 24 | 6 (25.0) | 2 (8.3) | |||
| Citrobacter spp. | Agar | 12 | 1 (8.3) | 0.069 | 0 (0.0) | 0.478 |
| Poloxamer | 12 | 6 (50.0) | 2 (16.7) | |||
| E. cloacae complex | Agar | 6 | 1 (16.7) | 1.000 | 0 (0.0) | 1.000 |
| Poloxamer | 6 | 2 (33.3) | 1 (16.7) | |||
| P. rettgeri | Agar | 3 | 0 (0.0) | 0.400 | 0 (0.0) | 1.000 |
| Poloxamer | 3 | 2 (66.7) | 0 (0.0) | |||
| Salmonella spp. | Agar | 3 | 0 (0.0) | 0.400 | 0 (0.0) | 1.000 |
| Poloxamer | 3 | 2 (66.7) | 0 (0.0) | |||
| M. morganii | Agar | 3 | 0 (0.0) | 0.100 | 0 (0.0) | 1.000 |
| Poloxamer | 3 | 3 (100.0) | 0 (0.0) | |||
| All species | Agar | 231 | 57 (24.7) | 0.028 | 19 (8.2) | 0.046 |
| Poloxamer | 231 | 37 (16.0) | 8 (3.5) |
n denotes the number of separate MIC determinations. P value comparisons were performed using Fisher's exact test.
Fig 3.
Differential swarming motility of Proteus spp. on agar and poloxamer. An image of bacterial isolate growth on an agar dilution plate (A) and a poloxamer dilution plate (B), both containing Proteus strains. Concentric swarming isolates of Proteus on agar (arrowheads) are not observed on poloxamer dilution plates.
Precision
Precision agreement among the three biological triplicates for each isolate was calculated to compare reproducibility of poloxamer dilution compared with agar dilution. Interestingly, precision essential agreement for poloxamer dilution (74%) was higher than for agar dilution (63%); however, this did not reach statistical significance (P = 0.2). The lower PEA for agar dilution was attributable in part to increased variability in measured results caused by skipped dilutions. The PCA for poloxamer dilution (81.6%) was marginally higher than that for agar dilution (76.3%), a difference that likewise did not reach statistical significance (P = 0.5, Exact McNemar Test; Table S5).
DISCUSSION
In this study, we highlight the potential of poloxamer dilution as an accurate and precise, on-demand alternative to agar dilution for antimicrobial susceptibility testing. Using fosfomycin testing as a use case, poloxamer dilution performed well relative to the agar dilution reference method whose performance was compromised by the more frequent occurrence of skipped dilutions (5). For E. coli, poloxamer dilution clearly distinguished susceptible from resistant fosA strains, and poloxamer dilution also had reasonable essential agreement for Enterobacterales and P. aeruginosa compared with agar dilution. Errors were almost always conservative across species. Klebsiella spp., which constituted approximately 25% of isolates tested, most of which were fosfomycin intermediate or resistant by agar dilution, contributed to approximately 50% of the total categorical and essential agreement errors, all of which were conservative (i.e., reading at a higher MIC by poloxamer dilution). Therefore, demonstration of fosfomycin susceptibility by poloxamer dilution is unlikely to result in falsely susceptible interpretations, while acknowledging that PK/PD data remain insufficient for organisms other than E. coli and E. faecalis. Notably, Klebsiella MICs by both methods were higher than those of other organisms tested and were associated with frequent skipped wells and greater method discordance, suggesting that fosfomycin susceptibility results for this species should be interpreted with caution in the absence of species-specific PK/PD data for urinary tract infection.
Because of its thermoreversible properties, autoclaved poloxamer media can be aliquoted and stored sterile in liquid form at 4°C, allowing immediate setup of poloxamer dilution testing. In contrast to agar dilution, this eliminates the need for repeated media melting, maintenance within a narrow temperature range, and time-sensitive antibiotic incorporation steps. This same property permits antibiotics to be added to cold, liquefied poloxamer without risking heat-associated degradation that can occur during preparation of agar dilution plates.
Poloxamer dilution testing can also be performed in microwell plates (Supplementary Methods; Fig. S1). In previous work, we validated a digital dispensing method using an inkjet printer to rapidly generate custom doubling-dilution antimicrobial panels on demand, with performance comparable to reference dilution methods (6, 10, 15–17). Using this approach, poloxamer dilution can be readily adapted to microwell formats while maintaining high categorical and essential agreement. In a pilot application, microwell poloxamer dilution testing of fosfomycin against 25 E. coli clinical isolates demonstrated 96% categorical agreement and 96% evaluable essential agreement compared with CE-marked agar dilution reference plates (Table S6), supporting the suitability of this format.
Taken together, these findings position poloxamer dilution as a practical and reliable method that can be implemented within the local clinical microbiology laboratory, bringing reference-level antimicrobial susceptibility testing capabilities closer to the site of patient care. While agar dilution can be implemented in different ways, depending on batch size and laboratory workflow, poloxamer dilution eliminates the need for repeated agar melting, temperature control, and time-sensitive antibiotic incorporation, thereby simplifying setup and enabling true on-demand testing. By enabling flexible, on-demand preparation of high-quality dilution panels, poloxamer dilution technology has the potential to expand testing portfolios and substantially reduce turnaround time while maintaining the analytical rigor of reference methods. Further studies are warranted to explore the applicability of this approach across a broader range of bacterial species and antimicrobial classes.
ACKNOWLEDGMENTS
This work was supported by a Novel Therapeutics Delivery Grant from Massachusetts Life Science Center (awarded to J.E.K.). M.T.J.U. received a Carole Shapazian Research Co-op Fellowship to support a research co-op experience from Northeastern University. The HP D300 digital dispenser used in these studies was provided by TECAN (Morrisville, NC). TECAN had no role in study design, data collection, or interpretation.
Contributor Information
James E. Kirby, Email: jekirby@bidmc.harvard.edu.
Jennifer Dien Bard, Children's Hospital Los Angeles, Los Angeles, California, USA.
SUPPLEMENTAL MATERIAL
The following material is available online at https://doi.org/10.1128/jcm.01822-25.
Supplemental methods and Figure S1.
Tables S1 to S6.
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.
REFERENCES
- 1. CLSI . 2015. CLSI document M07-A10. In Methods for dilution antimicrobial susceptibility tests for bacteria that grow aerobically; approved standard - tenth edition. Clinical and Laboratory Standards Institute, Wayne, PA. [Google Scholar]
- 2. CLSI . 2016. CLSI guideline M45. In Methods for antimicrobial dilution and disk susceptibility testing of infrequently isolated or fastidious bacteria, 3rd ed. Clinical and Laboratory Standards Institute, Wayne, PA. [Google Scholar]
- 3. Clinical and Laboratory Standards Institute (CLSI) . 2017. CLSI document M100–S27. In Performance standards for antimicrobial susceptibility testing; twenty-seventh informational supplement. Clinical and Laboratory Standards Institute, Wayne, PA. [Google Scholar]
- 4. Jorgensen JH, Ferraro MJ. 2009. Antimicrobial susceptibility testing: a review of general principles and contemporary practices. Clin Infect Dis 49:1749–1755. doi: 10.1086/647952 [DOI] [PubMed] [Google Scholar]
- 5. Bixby ML, Daley EC, Collins LB, Salay JM, Bryson AL, Hirsch EB. 2024. Skipped wells and scientific error during fosfomycin agar dilution and broth microdilution lead to inconsistent minimal inhibitory concentrations and may be cause for reevaluating testing methods for Klebsiella pneumoniae. Microbiol Spectr 12:e04205-23. doi: 10.1128/spectrum.04205-23 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Brennan-Krohn T, Truelson KA, Smith KP, Kirby JE. 2017. Screening for synergistic activity of antimicrobial combinations against carbapenem-resistant Enterobacteriaceae using inkjet printer-based technology. J Antimicrob Chemother 72:2775–2781. doi: 10.1093/jac/dkx241 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Mojica MF, De La Cadena E, Hernández-Gómez C, Correa A, Appel TM, Pallares CJ, Villegas MV. 2020. Performance of disk diffusion and broth microdilution for fosfomycin susceptibility testing of multidrug-resistant clinical isolates of Enterobacterales and Pseudomonas aeruginosa. J Glob Antimicrob Resist 21:391–395. doi: 10.1016/j.jgar.2020.01.003 [DOI] [PubMed] [Google Scholar]
- 8. European Committee on Antimicrobial Susceptibility Testing (EUCAST) . 2026. Breakpoint tables for interpretation of MICs and zone diameters. Version 16.0. Växjö, Sweden [Google Scholar]
- 9. Falagas ME, Kastoris AC, Kapaskelis AM, Karageorgopoulos DE. 2010. Fosfomycin for the treatment of multidrug-resistant, including extended-spectrum β-lactamase producing, Enterobacteriaceae infections: a systematic review. Lancet Infect Dis 10:43–50. doi: 10.1016/S1473-3099(09)70325-1 [DOI] [PubMed] [Google Scholar]
- 10. Smith KP, Richmond DL, Brennan-Krohn T, Elliott HL, Kirby JE. 2017. Development of MAST: a microscopy-based antimicrobial susceptibility testing platform. SLAS Technol 22:662–674. doi: 10.1177/2472630317727721 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Ruan X, Hu J, Lu L, Wang Y, Tang C, Liu F, Gao X, Zhang L, Wu H, Huang X, Wei Q. 2022. Poloxamer 407/188 binary thermosensitive gel as a moxidectin delivery system: in vitro release and in vivo evaluation. Molecules 27:3063. doi: 10.3390/molecules27103063 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Ullah KH, Raza F, Munawar SM, Sohail M, Zafar H, Zafar MI, Ur-Rehman T. 2021. Poloxamer 407 based gel formulations for transungual delivery of hydrophobic drugs: selection and optimization of potential additives. Polymers (Basel) 13:3376. doi: 10.3390/polym13193376 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Chen IC, Su CY, Chen PY, Hoang TC, Tsou YS, Fang HW. 2022. Investigation and characterization of factors affecting rheological properties of poloxamer-based thermo-sensitive hydrogel. Polymers (Basel) 14:5353. doi: 10.3390/polym14245353 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Lutgring JD, Machado MJ, Benahmed FH, Conville P, Shawar RM, Patel J, Brown AC. 2018. FDA-CDC antimicrobial resistance isolate bank: a publicly available resource to support research, development, and regulatory requirements. J Clin Microbiol 56:e01415-17. doi: 10.1128/JCM.01415-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Brennan-Krohn T, Kirby JE. 2019. Synergistic combinations and repurposed antibiotics active against the pandrug-resistant Klebsiella pneumoniae Nevada strain. Antimicrob Agents Chemother 63:e01374-19. doi: 10.1128/AAC.01374-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Brennan-Krohn T, Kirby JE. 2019. Antimicrobial synergy testing by the inkjet printer-assisted automated checkerboard array and the manual time-kill method. J Vis Exp. doi: 10.3791/58636 [DOI] [PMC free article] [PubMed]
- 17. Smith KP, Kirby JE. 2016. Verification of an automated, digital dispensing platform for at-will broth microdilution-based antimicrobial susceptibility testing. J Clin Microbiol 54:2288–2293. doi: 10.1128/JCM.00932-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplemental methods and Figure S1.
Tables S1 to S6.



