Evidence map›Paper›PMID 42742081›Full record

ArticleEndocrine, metabolic & immune disorders drug targets2026

Immunological, Inflammatory, and Microbiota Determinants of Carpal Tunnel Syndrome: Evidence from Mendelian Randomization.

Zeyu Zhou, Shuwei Liang, Zenghui Liu, Aoni Wu, Qiyu Sun

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Article in Endocrine, metabolic & immune disorders drug targets, 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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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

5 authors.

Zeyu ZhouDepartment of Clinical Laboratory, Affiliated Hospital of Chengde Medical College, Chengde, Hebei Province, China.
Shuwei LiangDepartment of Clinical Laboratory, Affiliated Hospital of Chengde Medical College, Chengde, Hebei Province, China.
Zenghui LiuDepartment of Immunology, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.
Aoni WuDepartment of Clinical Laboratory, Affiliated Hospital of Chengde Medical College, Chengde, Hebei Province, China.
Qiyu SunDepartment of Clinical Laboratory, Affiliated Hospital of Chengde Medical College, Chengde, Hebei Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCarpal Tunnel Syndrome (CTS) is a common peripheral neuropathy, and immune dysregulation and microbial dysbiosis are believed to play a role in its development. However, the cause-and-effect relationships have yet to be clarified.

methodsUsing publicly available Genome-Wide Association Study (GWAS), there are 731 immune cell phenotypes, 91 inflammatory proteins, 150 skin microbiota taxon, and 473 gut microbiota taxon based on two-sample Mendelian Randomization (MR) analysis to test whether there is a causal relationship between them and CTS. The results from the study were shown to have some degree of stability as demonstrated by various sensitivity analyses, which included running heterogeneity tests, performing MR -PRESSO, and running MR-Egger regressions. On the other hand, reverse MR was performed to verify the direction of the association. In addition, a two-step MR mediation analysis was conducted to explore whether there was a mediation effect of gut microbiota and skin microbiota, respectively, of immune and inflammatory traits on CTS.

results22 Immune cell traits, 4 Inflammatory proteins, 18 gut microbiota taxa, and 3 skin microbiota taxa are causally associated with CTS. Reverse MR suggested feedback effects of CTS on select immune traits and gut microbiota. Mediation analysis revealed 4 gut microbiota taxa that substantially mediated immune/inflammatory effects upon CTS, with mediation rates as high as 44%; however, skin microbiota did not demonstrate any mediation. DISCUSSION: The immune dysregulation, inflammation, and the gut microbiota that cause CTS are all revealed through this research. Mendelian randomization analysis suggests that traits and inflammatory proteins of immune cells directly increase the risk of CTS, and certain types of gut microbes partially mediate these effects. Therefore, the results show a central role of the immune-gut axis in CTS pathogenesis, and suggest a systemic, rather than a local, immune-microbial interaction in disease development.

conclusionWe provided the first causal evidence that immune cells, inflammatory proteins, and CTS risk are causally associated with some specific taxa of gut microbiota. This contributes to a better understanding of the immune-microbiome interactions in the process of occurrence and development of CTS, and also provides theoretical support for precision prevention and treatment.

Indexed as

Carpal Tunnel SyndromeGastrointestinal MicrobiomeInflammation MediatorsMendelian Randomization AnalysisMicrobiotaGenome-Wide Association StudyHumansInflammationSkin MicrobiomeInflammation Mediatorscarpal tunnel syndromegut microbiotaImmune cellsinflammatory proteinsMendelian randomizationskin microbiota

Identifiers

PMID42742081
PMCPMC13598737

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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 OpenQuestion graph.