Title :

Alteration of the gut microbiota’s composition and metabolic output correlates with COVID-19-like severity in obese NASH hamsters

Author(s) :

Sencio, Valentin [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL]
Benech, Nicolas [Auteur]
Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL]
Robil, Cyril [Auteur]
Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Deruyter, Lucie [Auteur]
Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Heumel, Séverine [Auteur]
Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Machelart, Arnaud [Auteur]
Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Sulpice, Thierry [Auteur]
Physiogenex
Lamazière, Antonin [Auteur]
Centre de Recherche Saint-Antoine [CRSA]
CHU Saint-Antoine [AP-HP]
Paris Center for Microbiome Medicine [FHU PaCeMM]
Grangette, Corinne [Auteur]
Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Briand, François [Auteur]
Physiogenex
Sokol, Harry [Auteur]
Centre de Recherche Saint-Antoine [CRSA]
CHU Saint-Antoine [AP-HP]
Paris Center for Microbiome Medicine [FHU PaCeMM]
MICrobiologie de l'ALImentation au Service de la Santé [MICALIS]
Trottein, Francois [Auteur]
Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]

Journal title :

Gut Microbes

Publisher :

Taylor & Francis

Publication date :

2022-12

ISSN :

1949-0976

English keyword(s) :

COVID-19
NASH
SARS-CoV-2
gut microbiota
hamsters
obesity

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

Obese patientss with nonalcoholic steatohepatitis (NASH) are particularly prone to developing severe forms of coronavirus disease 19 (COVID-19). The gut-to-lung axis is critical during viral infections of the respiratory ...
Show more >Obese patientss with nonalcoholic steatohepatitis (NASH) are particularly prone to developing severe forms of coronavirus disease 19 (COVID-19). The gut-to-lung axis is critical during viral infections of the respiratory tract, and a change in the gut microbiota's composition might have a critical role in disease severity. Here, we investigated the consequences of infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on the gut microbiota in the context of obesity and NASH. To this end, we set up a nutritional model of obesity with dyslipidemia and NASH in the golden hamster, a relevant preclinical model of COVID-19. Relative to lean non-NASH controls, obese NASH hamsters develop severe inflammation of the lungs and liver. 16S rRNA gene profiling showed that depending on the diet, SARS-CoV-2 infection induced various changes in the gut microbiota's composition. Changes were more prominent and transient at day 4 post-infection in lean animals, alterations still persisted at day 10 in obese NASH animals. A targeted, quantitative metabolomic analysis revealed changes in the gut microbiota's metabolic output, some of which were diet-specific and regulated over time. Our results showed that specifically diet-associated taxa are correlated with disease parameters. Correlations between infection variables and diet-associated taxa highlighted a number of potentially protective or harmful bacteria in SARS-CoV-2-infected hamsters. In particular, some taxa in obese NASH hamsters (e.g. Blautia and Peptococcus) were associated with pro-inflammatory parameters in both the lungs and the liver. These taxon profiles and their association with specific disease markers suggest that microbial patterns might influence COVID-19 outcomes.Show less >

Language :

Anglais

Popular science :

Non

ANR Project :

COronavirus et CONfinement : Enquête Longitudinale

Collections :

• Centre d'Infection et d'Immunité de Lille (CIIL) - U1019 - UMR 9017

Source :

Harvested from HAL