Publications by Year: 2017

Antimicrobial susceptibility testing (AST) is a fundamental mission of the clinical microbiology laboratory. Reference AST methods are based on bacterial growth in antibiotic doubling dilution series, which means that any error in the reference method inherently represents at least a 2-fold difference. We describe the origins of current AST reference methodology, highlight the sources of AST variability, and propose ideas for improving AST predictive power.

We examined the in vitro activity of minocycline against 103 Klebsiella pneumoniae carbapenemase (KPC)-producing Enterobacteriaceae isolates and found approximately half had susceptible (26%) or intermediate (26%) MICs. For a subset of 35 isolates, susceptibility was highest to tigecycline (71% FDA vs. 20% EUCAST) followed by minocycline (14%) and then doxycycline (6%).

BACKGROUND: Synergistic combination antimicrobial therapy may provide new options for treatment of MDR infections. However, comprehensive in vitro synergy data are limited and facile methods to perform synergy testing in a clinically actionable time frame are unavailable.

OBJECTIVES: To systematically investigate a broad range of antibiotic combinations for evidence of synergistic activity against a collection of carbapenem-resistant Enterobacteriaceae (CRE) isolates.

METHODS: We made use of an automated method for chequerboard array synergy testing based on inkjet printer technology in the HP D300 digital dispenser to test 56 pairwise antimicrobial combinations of meropenem, aztreonam, cefepime, colistin, gentamicin, levofloxacin, chloramphenicol, fosfomycin, trimethoprim/sulfamethoxazole, minocycline and rifampicin, as well as the double carbapenem combination of meropenem and ertapenem.

RESULTS: In a screening procedure, we tested these combinations against four CRE strains and identified nine antibiotic combinations that showed potential clinically relevant synergy. In confirmatory testing using 10 CRE strains, six combinations demonstrated clinically relevant synergy with both antimicrobials at the minimum fractional inhibitory concentration (FICI-MIN) in the susceptible or intermediate range in at least one trial. These included two novel combinations: minocycline plus colistin and minocycline plus meropenem. In 80% of strains at least one combination demonstrated clinically relevant synergy, but the combinations that demonstrated synergy varied from strain to strain.

CONCLUSIONS: This work establishes the foundation for future systematic, broad-range investigations into antibiotic synergy for CRE, emphasizes the need for individualized synergy testing and demonstrates the utility of inkjet printer-based technology for the performance of automated antimicrobial synergy assays.

Antibiotic resistance is compromising our ability to treat bacterial infections. Clinical microbiology laboratories guide appropriate treatment through antimicrobial susceptibility testing (AST) of patient bacterial isolates. However, increasingly, pathogens are developing resistance to a broad range of antimicrobials, requiring AST of alternative agents for which no commercially available testing methods are available. Therefore, there exists a significant AST testing gap in which current methodologies cannot adequately address the need for rapid results in the face of unpredictable susceptibility profiles. To address this gap, we developed a multicomponent, microscopy-based AST (MAST) platform capable of AST determinations after only a 2 h incubation. MAST consists of a solid-phase microwell growth surface in a 384-well plate format, inkjet printing-based application of both antimicrobials and bacteria at any desired concentrations, automated microscopic imaging of bacterial replication, and a deep learning approach for automated image classification and determination of antimicrobial minimal inhibitory concentrations (MICs). In evaluating a susceptible strain set, 95.8% were within ±1 and 99.4% were within ±2, twofold dilutions, respectively, of reference broth microdilution MIC values. Most (98.3%) of the results were in categorical agreement. We conclude that MAST offers promise for rapid, accurate, and flexible AST to help address the antimicrobial testing gap.