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Front Microbiol. 2021 Sep 21;12:724767. doi: 10.3389/fmicb.2021.724767. eCollection 2021.

A Review of Using Mathematical Modeling to Improve Our Understanding of Bacteriophage, Bacteria, and Eukaryotic Interactions.

Frontiers in microbiology

Kathryn M Styles, Aidan T Brown, Antonia P Sagona

Affiliations

  1. School of Life Sciences, University of Warwick, Coventry, United Kingdom.
  2. School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom.

PMID: 34621252 PMCID: PMC8490754 DOI: 10.3389/fmicb.2021.724767

Abstract

Phage therapy, the therapeutic usage of viruses to treat bacterial infections, has many theoretical benefits in the 'post antibiotic era.' Nevertheless, there are currently no approved mainstream phage therapies. One reason for this is a lack of understanding of the complex interactions between bacteriophage, bacteria and eukaryotic hosts. These three-component interactions are complex, with non-linear or synergistic relationships, anatomical barriers and genetic or phenotypic heterogeneity all leading to disparity between performance and efficacy in

Copyright © 2021 Styles, Brown and Sagona.

Keywords: antibiotic alternative; bacteriophage; communicable disease; heterogeneity; mathematical modelling; phage therapy; simulations; stochasticity

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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