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A model of antibiotic resistance genes accumulation through lifetime exposure from food intake and antibiotic treatment

Todman, Henry; Arya, Sankalp; Baker, Michelle; Stekel, Dov Joseph

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Authors

Henry Todman

Sankalp Arya

DOV STEKEL DOV.STEKEL@NOTTINGHAM.AC.UK
Professor of Computational Biology



Contributors

Ricardo Santos
Editor

Abstract

Antimicrobial resistant bacterial infections represent one of the most serious contemporary global healthcare crises. Acquisition and spread of resistant infections can occur through community, hospitals, food, water or endogenous bacteria. Global efforts to reduce resistance have typically focussed on antibiotic use, hygiene and sanitation and drug discovery. However, resistance in endogenous infections, e.g. many urinary tract infections, can result from life-long acquisition and persistence of resistance genes in commensal microbial flora of individual patients, which is not normally considered. Here, using individual based Monte Carlo models calibrated using antibiotic use data and human gut resistomes, we show that the long-term increase in resistance in human gut microbiomes can be substantially lowered by reducing exposure to resistance genes found food and water, alongside reduced medical antibiotic use. Reduced dietary exposure is especially important during patient antibiotic treatment because of increased selection for resistance gene retention; inappropriate use of antibiotics can be directly harmful to the patient being treated for the same reason. We conclude that a holistic approach to antimicrobial resistance that additionally incorporates food production and dietary considerations will be more effective in reducing resistant infections than a purely medical-based approach.

Citation

Todman, H., Arya, S., Baker, M., & Stekel, D. J. (2023). A model of antibiotic resistance genes accumulation through lifetime exposure from food intake and antibiotic treatment. PLoS ONE, 18(8), Article e0289941. https://doi.org/10.1371/journal.pone.0289941

Journal Article Type Article
Acceptance Date Jul 30, 2023
Online Publication Date Aug 17, 2023
Publication Date Aug 17, 2023
Deposit Date Aug 21, 2023
Publicly Available Date Aug 22, 2023
Journal PLOS ONE
Electronic ISSN 1932-6203
Publisher Public Library of Science
Peer Reviewed Peer Reviewed
Volume 18
Issue 8
Article Number e0289941
DOI https://doi.org/10.1371/journal.pone.0289941
Keywords Multidisciplinary
Public URL https://nottingham-repository.worktribe.com/output/24424087
Publisher URL https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0289941

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