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A data-based mathematical modelling study to quantify the effects of ciprofloxacin and ampicillin on the within-host dynamics of Salmonella enterica during treatment and relapse.

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Vlazaki, Myrto 
Rossi, Omar 
Price, David J 
McLean, Callum 
Grant, Andrew J 

Abstract

Antibiotic therapy has drastically reduced the mortality and sequelae of bacterial infections. From naturally occurring to chemically synthesized, different classes of antibiotics have been successfully used without detailed knowledge of how they affect bacterial dynamics in vivo. However, a proportion of patients receiving antimicrobial therapy develop recrudescent infections post-treatment. Relapsing infections are attributable to incomplete clearance of bacterial populations following antibiotic administration; the metabolic profile of this antibiotic-recalcitrant bacterial subpopulation, the spatio-temporal context of its emergence and the variance of antibiotic-bacterial interactions in vivo remain unclear. Here, we develop and apply a mechanistic mathematical model to data from a study comparing the effects of ciprofloxacin and ampicillin on the within-host dynamics of Salmonella enterica serovar Typhimurium in murine infections. Using the inferential capacity of our model, we show that the antibiotic-recalcitrant bacteria following ampicillin, but not ciprofloxacin, treatment belong to a non-replicating phenotype. Aligning with previous studies, we independently estimate that the lymphoid tissues and spleen are important reservoirs of non-replicating bacteria. Finally, we predict that post-treatment, the progenitors of the non-growing and growing bacterial populations replicate and die at different rates. Ultimately, the liver, spleen and mesenteric lymph nodes are all repopulated by progenitors of the previously non-growing phenotype in ampicillin-treated mice.

Description

Keywords

bacterial persistence, data-based model, heterogeneity, isogenic tagged strains, mechanistic model, model selection, Ampicillin, Animals, Anti-Bacterial Agents, Ciprofloxacin, Humans, Mice, Microbial Sensitivity Tests, Models, Theoretical, Recurrence, Salmonella enterica

Journal Title

J R Soc Interface

Conference Name

Journal ISSN

1742-5689
1742-5662

Volume Title

17

Publisher

The Royal Society

Rights

All rights reserved
Sponsorship
Biotechnology and Biological Sciences Research Council (BB/M020193/1)
Biotechnology and Biological Sciences Research Council (BB/M000982/1)
Bursary from Cambridge Mathematical Placements