Gut microbial factors predict disease severity in a mouse model of multiple sclerosis.
Nat Microbiol
; 9(9): 2244-2261, 2024 Sep.
Article
de En
| MEDLINE
| ID: mdl-39009690
ABSTRACT
Gut bacteria are linked to neurodegenerative diseases but the risk factors beyond microbiota composition are limited. Here we used a pre-clinical model of multiple sclerosis (MS), experimental autoimmune encephalomyelitis (EAE), to identify microbial risk factors. Mice with different genotypes and complex microbiotas or six combinations of a synthetic human microbiota were analysed, resulting in varying probabilities of severe neuroinflammation. However, the presence or relative abundances of suspected microbial risk factors failed to predict disease severity. Akkermansia muciniphila, often associated with MS, exhibited variable associations with EAE severity depending on the background microbiota. Significant inter-individual disease course variations were observed among mice harbouring the same microbiota. Evaluation of microbial functional characteristics and host immune responses demonstrated that the immunoglobulin A coating index of certain bacteria before disease onset is a robust individualized predictor of disease development. Our study highlights the need to consider microbial community networks and host-specific bidirectional interactions when aiming to predict severity of neuroinflammation.
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Modèles animaux de maladie humaine
/
Encéphalomyélite auto-immune expérimentale
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Microbiome gastro-intestinal
/
Sclérose en plaques
Limites:
Animals
/
Female
/
Humans
Langue:
En
Journal:
Nat Microbiol
/
Nat. microbiol
/
Nature microbiology
Année:
2024
Type de document:
Article
Pays d'affiliation:
Luxembourg
Pays de publication:
Royaume-Uni