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Integrated multi-omics analysis identifies microbial and metabolic signatures and drivers of CNS autoimmunity
Theresa L Montgomery1, Emily A Nelson1, Lauren A Downs1
1Department of Biomedical and Health Sciences, University of Vermont, Burlington, Vermont, USA.
Abstract:
Multiple sclerosis (MS) is an autoimmune disease of the central nervous system (CNS), driven by genetic and environmental determinants. The gut microbiome of people with MS (pwMS) is distinct and influences disease through immunomodulatory metabolite production. Circulating metabolites are altered in pwMS, but identifying microbial-metabolic drivers remains challenging. We previously showed that colonization by the gut commensal Limosilactobacillus reuteri exacerbates disease in the experimental autoimmune encephalomyelitis (EAE) model of MS in a tryptophan-dependent manner. Here, we integrated microbiomic and metabolomic data sets from a longitudinal EAE study utilizing high- and low-tryptophan diets in mice colonized with or without L. reuteri. Gut microbiome dynamics, under short- and long-term alterations in tryptophan bioavailability, were affected by diet, microbiome context, or disease. During short-term dietary intervention, L. reuteri colonization exerted a greater impact on microbiome composition than tryptophan bioavailability. With longer dietary exposure and EAE progression, high dietary tryptophan and L. reuteri colonization synergized to elicit profound microbiota changes, including alterations in Lachnospiraceae, Blautia, and Akkermansia. Integration of metabolomic and microbiomic data sets using joint Robust Aitchison PCA revealed clusters of associated metabolites and microbiota enriched for functional pathways, including bile acid and tryptophan metabolism. Metabolites outperformed microbiota in predicting EAE severity, identifying p-cresols and indoles as top disease-associated metabolites. Treatment with p-cresol or 3-indoleglyoxylic acid exacerbated EAE, enhanced proinflammatory T-cell responses, and increased cerebellar pathology. These data demonstrate that dietary responses are shaped by gut microbiome composition and that integrated microbiomic-metabolomic analyses can identify the drivers of disease worsening in MS.IMPORTANCEMultiple sclerosis (MS) is a multifactorial disease influenced not only by genetics but also by environmental factors, potentially including diet and the composition of the gut microbiome. We show that interactions between diet and commensal gut microbiota profoundly impact the levels of immunomodulatory systemic metabolites, including several that are associated with disease in people with MS (pwMS). Importantly, we demonstrate that individual gut microbiota-produced metabolites are sufficient to worsen disease in a mouse model of MS. Integration of gut microbiome and blood metabolite data sets, combined with subsequent predictive modeling, may bolster biomarker identification and the capacity to predict disease severity in pwMS, as compared to the performance of individual data sets alone. These findings highlight metabolites as key mediators linking diet and the gut microbiota to neuroinflammation. Importantly, this work suggests that targeting microbial metabolites or modifying diet-microbiome interactions may represent new strategies to reduce disease activity in MS and related autoimmune disorders.
Insights
Dietary tryptophan and gut bacteria like Limosilactobacillus reuteri significantly impact multiple sclerosis (MS) disease severity. Specific microbial metabolites, such as p-cresols and indoles, can worsen MS by promoting inflammation.
Area of Science:
- Neuroimmunology
- Microbiome Research
- Metabolomics
Background:
- Multiple sclerosis (MS) is an autoimmune CNS disease influenced by genetics and environment.
- The gut microbiome and its metabolites play a role in MS pathogenesis.
- Previous work linked Limosilactobacillus reuteri to MS exacerbation via tryptophan.
Purpose of the Study:
- Investigate how diet and L. reuteri interact to affect the gut microbiome and metabolites in MS.
- Identify microbial-metabolic drivers of disease severity in a mouse model of MS.
- Assess the predictive power of integrated microbiome and metabolomic data for MS severity.
Main Methods:
- Integrated longitudinal microbiomic and metabolomic analysis in an EAE mouse model.
- Utilized high- and low-tryptophan diets with and without L. reuteri colonization.
- Employed joint Robust Aitchison PCA for data integration and identified key metabolites.
Main Results:
- Diet and L. reuteri synergistically altered gut microbiota composition, especially with high tryptophan.
- Metabolites were better predictors of EAE severity than microbiota alone.
- P-cresols and indoles were identified as key disease-associated metabolites that exacerbated EAE.
Conclusions:
- Dietary responses in MS are shaped by gut microbiome composition.
- Integrated microbiome-metabolome analysis can identify disease-driving metabolites.
- Microbial metabolites mediate the link between diet, gut microbiota, and neuroinflammation in MS.