Epithelial stratification shapes infection dynamics.


Journal

PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922

Informations de publication

Date de publication:
01 2019
Historique:
received: 30 01 2018
accepted: 16 11 2018
revised: 04 02 2019
pubmed: 24 1 2019
medline: 5 3 2019
entrez: 24 1 2019
Statut: epublish

Résumé

Infections of stratified epithelia contribute to a large group of common diseases, such as dermatological conditions and sexually transmitted diseases. To investigate how epithelial structure affects infection dynamics, we develop a general ecology-inspired model for stratified epithelia. Our model allows us to simulate infections, explore new hypotheses and estimate parameters that are difficult to measure with tissue cell cultures. We focus on two contrasting pathogens: Chlamydia trachomatis and Human papillomaviruses (HPV). Using cervicovaginal parameter estimates, we find that key infection symptoms can be explained by differential interactions with the layers, while clearance and pathogen burden appear to be bottom-up processes. Cell protective responses to infections (e.g. mucus trapping) generally lowered pathogen load but there were specific effects based on infection strategies. Our modeling approach opens new perspectives for 3D tissue culture experimental systems of infections and, more generally, for developing and testing hypotheses related to infections of stratified epithelia.

Identifiants

pubmed: 30673699
doi: 10.1371/journal.pcbi.1006646
pii: PCOMPBIOL-D-18-00154
pmc: PMC6361466
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1006646

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Carmen Lía Murall (CL)

Laboratoire MIVEGEC (UMR CNRS 5290, IRD, UM), Montpellier, France.

Robert Jackson (R)

Probe Development and Biomarker Exploration, Thunder Bay Regional Health Research Institute, Thunder Bay, Ontario, Canada.
Biotechnology Program, Lakehead University, Thunder Bay, Ontario, Canada.

Ingeborg Zehbe (I)

Probe Development and Biomarker Exploration, Thunder Bay Regional Health Research Institute, Thunder Bay, Ontario, Canada.
Department of Biology, Lakehead University, Thunder Bay, Ontario, Canada.

Nathalie Boulle (N)

Pathogenesis and Control of Chronic Infections, INSERM, EFS, Université de Montpellier, Montpellier, France.

Michel Segondy (M)

Pathogenesis and Control of Chronic Infections, INSERM, EFS, Université de Montpellier, Montpellier, France.

Samuel Alizon (S)

Laboratoire MIVEGEC (UMR CNRS 5290, IRD, UM), Montpellier, France.

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Classifications MeSH