Quantitative modeling predicts mechanistic links between pre-treatment microbiome composition and metronidazole efficacy in bacterial vaginosis

Christina Y. Lee, Ryan K. Cheu, Melissa M. Lemke, Andrew T. Gustin, Michael T. France, Benjamin Hampel, Andrea R. Thurman, Gustavo F. Doncel, Jacques Ravel, Nichole R. Klatt () and Kelly B. Arnold ()
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Christina Y. Lee: University of Michigan
Ryan K. Cheu: University of Miami Department of Pediatrics, University of Miami
Melissa M. Lemke: University of Michigan
Andrew T. Gustin: University of Miami Department of Pediatrics, University of Miami
Michael T. France: University of Maryland School of Medicine
Benjamin Hampel: University of Zurich
Andrea R. Thurman: CONRAD, Eastern Virginia Medical School
Gustavo F. Doncel: CONRAD, Eastern Virginia Medical School
Jacques Ravel: University of Maryland School of Medicine
Nichole R. Klatt: University of Miami Department of Pediatrics, University of Miami
Kelly B. Arnold: University of Michigan

Nature Communications, 2020, vol. 11, issue 1, 1-12

Abstract: Abstract Bacterial vaginosis is a condition associated with adverse reproductive outcomes and characterized by a shift from a Lactobacillus-dominant vaginal microbiota to a polymicrobial microbiota, consistently colonized by strains of Gardnerella vaginalis. Metronidazole is the first-line treatment; however, treatment failure and recurrence rates remain high. To understand complex interactions between Gardnerella vaginalis and Lactobacillus involved in efficacy, here we develop an ordinary differential equation model that predicts bacterial growth as a function of metronidazole uptake, sensitivity, and metabolism. The model shows that a critical factor in efficacy is Lactobacillus sequestration of metronidazole, and efficacy decreases when the relative abundance of Lactobacillus is higher pre-treatment. We validate results in Gardnerella and Lactobacillus co-cultures, and in two clinical cohorts, finding women with recurrence have significantly higher pre-treatment levels of Lactobacillus relative to bacterial vaginosis–associated bacteria. Overall results provide mechanistic insight into how personalized differences in microbial communities influence vaginal antibiotic efficacy.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19880-w

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DOI: 10.1038/s41467-020-19880-w

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