ArticlePloS one2010
Bistability and bacterial infections.
Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Effects of immunosuppressants on T-cell dynamics: Understanding from a generic coarse-grained immune network model.Journal of biosciences · 2022Review
- Eugenol-Functionalized Magnetite Nanoparticles Modulate Virulence and Persistence inMolecules (Basel, Switzerland) · 2021Article
- Bistable Bacterial Growth Dynamics in the Presence of Antimicrobial Agents.Antibiotics (Basel, Switzerland) · 2021Article
- Advancing risk assessment: mechanistic dose-response modelling ofRoyal Society open science · 2018Article
- Mathematical Models for Immunology: Current State of the Art and Future Research Directions.Bulletin of mathematical biology · 2016Review
- Unraveling the dose-response puzzle ofInfectious Disease Modelling · 2016Article
- Evaluation of the in vitro antibacterial activity of the solvent fractions of the leaves of Rhamnus prinoides L'Herit (Rhamnaceae) against pathogenic bacteria.BMC complementary and alternative medicine · 2016Article
- Bacterial fitness shapes the population dynamics of antibiotic-resistant and -susceptible bacteria in a model of combined antibiotic and anti-virulence treatment.Journal of theoretical biology · 2015Article
- Evidence for bistable bacteria-neutrophil interaction and its clinical implications.The Journal of clinical investigation · 2012Article
- How many neutrophils are enough (redux, redux)?The Journal of clinical investigation · 2012Article
- A mathematical model to study resistance and tolerance to infection at the animal and population levels: application to E. coli mastitis.Frontiers in genetics · 2012Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacterial infections occur when the natural host defenses are overwhelmed by invading bacteria. The main component of the host defense is impaired when neutrophil count or function is too low, putting the host at great risk of developing an acute infection. In people with intact immune systems, neutrophil count increases during bacterial infection. However, there are two important clinical cases in which they remain constant: a) in patients with neutropenic-associated conditions, such as those undergoing chemotherapy at the nadir (the minimum clinically observable neutrophil level); b) in ex vivo examination of the patient's neutrophil bactericidal activity. Here we study bacterial population dynamics under fixed neutrophil levels by mathematical modelling. We show that under reasonable biological assumptions, there are only two possible scenarios: 1) Bacterial behavior is monostable: it always converges to a stable equilibrium of bacterial concentration which only depends, in a gradual manner, on the neutrophil level (and not on the initial bacterial level). We call such a behavior type I dynamics. 2) The bacterial dynamics is bistable for some range of neutrophil levels. We call such a behavior type II dynamics. In the bistable case (type II), one equilibrium corresponds to a healthy state whereas the other corresponds to a fulminant bacterial infection. We demonstrate that published data of in vitro Staphylococcus epidermidis bactericidal experiments are inconsistent with both the type I dynamics and the commonly used linear model and are consistent with type II dynamics. We argue that type II dynamics is a plausible mechanism for the development of a fulminant infection.
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