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Gut microbial factors predict disease severity in a mouse model of multiple sclerosis. | LitMetric

AI Article Synopsis

  • Gut bacteria are connected to neurodegenerative diseases, but understanding their role is limited due to the complexities beyond just microbiota composition.
  • In a study using a mouse model for multiple sclerosis, researchers tested various genotypes and microbiota combinations to see how they affected neuroinflammation severity.
  • They found that while certain bacteria like Akkermansia muciniphila are linked to MS, other factors like individual immune responses and the overall microbial community play a crucial role in predicting disease severity.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11371644PMC
http://dx.doi.org/10.1038/s41564-024-01761-3DOI Listing

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