Evidence map›Paper›PMID 41930765›Full record

ArticleCurrent neurovascular research2026

Immune-gut-metabolite Interactions in Multiple Sclerosis: A Mendelian Randomization and Mediation Study.

Zenghui Liu, Lu Kuang, Xiaohui Zhou, Qijun Chen, Jiaxing Zhao, Huayu Yin, Xuehui Liu, Shaoguo Wu, Limei Wu

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Article in Current neurovascular research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Zenghui LiuDepartment of Immunology, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.ORCID 0009-0000-1829-1238
Lu KuangDepartment of Clinical Laboratory, The Affiliated Guangzhou Twelfth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Xiaohui ZhouDepartment of Immunology, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.
Qijun ChenDepartment of Clinical Laboratory, The Affiliated Guangzhou Twelfth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Jiaxing ZhaoDepartment of Immunology, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.
Huayu YinDepartment of Immunology, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.
Xuehui LiuDepartment of Clinical Laboratory, The Affiliated Guangzhou Twelfth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Shaoguo WuDepartment of Clinical Laboratory, The Affiliated Guangzhou Twelfth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Limei WuDepartment of Immunology, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMultiple sclerosis (MS) is a complex autoimmune disease characterized by chronic inflammation and neurodegeneration. Although immune dysregulation, gut microbiota, and metabolic alterations have been implicated in MS, their causal relationships remain unclear.

methodsUtilizing publicly available genetic data, we performed two-sample MR analyses to investigate the causal effects of 731 immune cell phenotypes, 91 inflammatory proteins, 473 gut microbiota taxa, and 1,400 plasma metabolites on MS. The inverse-variance weighted (IVW) method was used as the primary analysis. The robustness of the results was verified through various sensitivity analyses. Furthermore, bidirectional MR and two-step mediation analyses were applied to assess potential reverse causality and mediating pathways.

resultsWe identified 13 immune cell phenotypes, 3 inflammatory proteins, 16 gut microbiota and 14 plasma metabolites with significant causal associations with MS. Bidirectional MR analysis suggested evidence of reverse causality for specific gut microbiota. Mediation analysis uncovered multiple pathways. For instance, while CD28-DN (CD4-CD8-) %T cells mediated 33.50% of the protective effect against the species Bacteroides darus. Genus UBA644 mediating 17.9% of the risk effect of CD28-DN (CD4-CD8-) % T cells, and 2-hydroxysebacate mediated by CD28- CD8br %CD8br Treg (43%).

conclusionOur study provides robust genetic evidence supporting the causal roles of immune cells, inflammatory proteins, gut microbiota, and plasma metabolites in MS pathogenesis. The mediation findings highlight complex interaction networks, offering novel insights into the immune- microbiota-metabolite axis and potential therapeutic targets for MS.

Indexed as

Gastrointestinal MicrobiomeMendelian Randomization AnalysisMultiple SclerosisHumansgut microbiotaimmune cellsinflammatory proteinsmediation analysismendelian randomizationMultiple sclerosisplasma metabolites

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.