Modelling the role of microbiota in the acquisition and transmission of antibiotic resistant pathogenic bacteria
2022
Caen, Auguste | Laroche, Béatrice | Guillemot, Didier | Herrmann, Jean-Louis | Opatowski, Lulla | Vergu, Elisabeta | Mathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas] (MaIAGE) ; Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Epidémiologie et modélisation de la résistance aux antimicrobiens - Epidemiology and modelling of antibacterial evasion (EMAE) ; Institut Pasteur [Paris] (IP)-Université Paris Cité (UPCité) | Centre de recherche en épidémiologie et santé des populations (CESP) ; Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay | Infection et inflammation (2I) ; Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM) | Hôpital Raymond Poincaré (Garches) [GHU AP-HP Université Paris-Saclay] ; Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP) | INCEPTION INTERDISCIPLINARY PROJECT (P2I) funding: MICROMOD – Modelling the role of microbiota in the acquisition and transmission of antibiotic resistant pathogenic bacteria
National audience
Mostrar más [+] Menos [-]Inglés. The human microbiota has been shown to play a key role in human health, and in particular in immune function. Indeed, the colonization of a host by an infectious microorganisms depends on the microorganisms interactions with this microbiota, including competition or synergistic relationships. In particular, Staphylococcus aureus, a human commensal bacterial, can cause diseases of varying severity, especially with antibiotic resistant strains. Negative and positive interactions between S. aureus and species of bacteria composing the nasal microbiota have been suggested. → Our aim is to understand the mechanisms that drive the dynamics of the nasal microbiota, and its role in the acquisition and dissemination of S. aureus, by combining mathematical modelling and analysis of longitudinal data of microbiota and bacterial colonization.
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