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bioRxiv · 10.1101/2022.09.20.508761

Critical role of growth medium for detecting drug interactions in Gram-negative bacteria that model in vivo responses

Abstract

The rise in infections caused by multidrug-resistant (MDR) bacteria has necessitated a variety of clinical approaches, including the use of antibiotic combinations. Antibiotic susceptibility is affected in part by the growth state of bacteria within various tissues. Here we tested the hypothesis that drug-drug interactions vary in different media, and hence, using a medium that reflects tissue environments will better predict in vivo outcomes. We systematically studied pair-wise antibiotic interactions in three different media (CAMHB, a urine mimetic, and a lung mimetic) using three Gram-negative ESKAPE pathogens, Acinetobacter baumannii (Ab), Klebsiella pneumoniae (Kp), and Pseudomonas aeruginosa (Pa). There were pronounced differences in responses to antibiotic combinations between the three bacterial species grown in the same medium. However, within species, Pa responded to drug combinations similarly when grown in all three different media, whereas Ab responded similarly when grown in CAMHB and a lung mimetic medium. By contrast, drug interactions in Kp were poorly correlated across three different media. To assess whether distinct media were predictive of antibiotic interactions in Kp in the lungs of mice, we developed a treatment strategy and tested three antibiotic combination pairs. Measurements obtained in vitro from lung mimetic medium, but not rich medium, predicted in vivo outcomes. This work demonstrates that antibiotic interactions are highly variable when comparing across three gram-negative pathogens and highlights the importance of growth medium by showing a superior correlation between in vitro interactions in a growth medium that resembles the tissue environment and in vivo outcomes.

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BibTeXRIS

Davis, K. P., Morales, Y., Aldridge, B. B., Mecsas, J. B.. 2022-09-20. Critical role of growth medium for detecting drug interactions in Gram-negative bacteria that model in vivo responses. https://doi.org/10.1101/2022.09.20.508761

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