Abstract
The rise in infections caused by antibiotic-resistant bacteria is outpacing the development of new antibiotics. The ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter species) are a group of clinically important bacteria that have developed resistance to multiple antibiotics and are commonly referred to as multidrug resistant (MDR). The medical and research communities have recognized that, without new antimicrobials, infections by MDR bacteria will soon become a leading cause of morbidity and death. Therefore, there is an ever-growing need to expedite the development of novel antimicrobials to combat these infections. Toward this end, we set out to refine an existing mouse model of pulmonary Pseudomonas aeruginosa infection to generate a robust preclinical tool that can be used to rapidly and accurately predict novel antimicrobial efficacy. This refinement was achieved by characterizing the virulence of a panel of genetically diverse MDR P. aeruginosa strains in this model, by both 50% lethal dose (LD50) analysis and natural history studies. Further, we defined two antibiotic regimens (aztreonam and amikacin) that can be used as comparators during the future evaluation of novel antimicrobials, and we confirmed that the model can effectively differentiate between successful and unsuccessful treatments, as predicted by in vitro inhibitory data. This validated model represents an important tool in our arsenal to develop new therapies to combat MDR P. aeruginosa strains, with the ability to provide rapid preclinical evaluation of novel antimicrobials and support data from clinical studies during the investigational drug development process.
Original language | English |
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Journal | Microbiology spectrum |
Volume | 10 |
Issue number | 5 |
DOIs | |
State | Published - Sep 2022 |
Bibliographical note
Funding Information:This work was supported by funding from the FDA under contract HHSF223201810171C (M.B.L.). We thank members of the FDA advisory panel for their advice during these studies.
Publisher Copyright:
© 2022 Warawa et al.
Keywords
- antibiotic testing
- mouse models
- pharmacokinetics
- preclinical models
- Pseudomonas aeruginosa
ASJC Scopus subject areas
- Physiology
- Ecology
- Immunology and Microbiology (all)
- Genetics
- Microbiology (medical)
- Cell Biology
- Infectious Diseases