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Data · dataset · 2026

Gut microbiome-based prediction of autoimmune neuroinflammation [* Cross-Reference *]

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Abstract

Gut commensals are linked to neurodegenerative diseases, yet little is known about causal and functional roles of microbial risk factors in the gut–brain axis. Here, we employed a pre-clinical model of multiple sclerosis in mice harboring distinct complex microbiotas and six defined strain combinations of a functionally-characterized synthetic human microbiota. Discrete microbiota compositions resulted in different probabilities for development of severe autoimmune neuroinflammation.

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Nevertheless, assessing presence or the relative abundances of a suspected microbial risk factor failed to predict disease courses across different microbiota compositions. Importantly, we found considerable inter-individual disease course variations between mice harboring the same microbiota. Evaluation of multiple microbiome-associated functional characteristics and host immune responses demonstrated that the immunoglobulin A-coating index of Bacteroides ovatus before disease onset is a robust individual predictor for disease development.

Our study highlights that the “microbial risk factor” concept needs to be seen in the context of a given microbial community network, and host-specific responses to that community must be considered when aiming for predicting disease risk based on microbiota characteristics. ***This entry has been automatically imported via OpenAlex by LIST harvest scripts. Please refer to doi.org/10.1101/2023.04.14.536901 for the original and latest version of the publication***

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Provenance · 1 source records, 15 field assertions
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