Pilot Screening to Determine Antimicrobial Synergies in a Multidrug-Resistant Bacterial Strain Library


With the rise in multidrug-resistant (MDR) bacterial infections, there has been increasing interest in combinations of ≥2 antimicrobial agents with synergistic effects. We established an MDR bacterial strain library to screen for in vitro antimicrobial synergy by using a broth microdilution checkerboard method and high-throughput luciferase-based bacterial cell viability assay. In total, 39 MDR bacterial strains, including 23 carbapenem-resistant gram-negative bacteria, 9 vancomycin-intermediate Staphylococcus aureus, and 7 vancomycin-resistant Enterococcus faecalis, were used to screen for potential antimicrobial synergies. Synergies were more frequently identified with combinations of imipenem plus trimethoprim-sulfamethoxazole for carbapenem-resistant Acinetobacter baumannii in the library. To verify this finding, we tested 34 A. baumannii clinical isolates resistant to both imipenem and trimethoprim-sulfamethoxazole by the checkerboard method. The imipenem plus trimethoprim-sulfamethoxazole combination showed synergy in the treatment of 21 (62%) of the clinical isolates. The results indicate that pilot screening for antimicrobial synergy in the MDR bacterial strain library could be valuable in the selection of combination therapeutic regimens to treat MDR bacterial infections. Further studies are warranted to determine whether this screening system can be useful to screen for the combined effects of conventional antimicrobials and new-generation antimicrobials or nonantimicrobials.

DOI: 10.1089/mdr.2015.0251

Extracted Key Phrases

5 Figures and Tables

Cite this paper

@inproceedings{Kim2016PilotST, title={Pilot Screening to Determine Antimicrobial Synergies in a Multidrug-Resistant Bacterial Strain Library}, author={Si-Hyun Kim and Chulmin Park and Hye-Sun Chun and Dong-Gun Lee and Jae-Ki Choi and Hyo-Jin Lee and Sung-Yeon Cho and Sun Hee Park and Su-Mi Choi and Jung-Hyun Choi and Jin-Hong Yoo}, booktitle={Microbial drug resistance}, year={2016} }