Evidence map›Paper›PMID 41407501›Full record

ArticleAsian spine journal2026

Exploring the relationship between gut microbiota and spinal canal stenosis: a bidirectional Mendelian randomization and hub gene study across East Asian and European populations.

Weihang Zhu, Lei Li, Yida Wang, Yongbin Wang, Zihan Cui, Tianrui Wang, Lu Zhang, Chao Wang

Abstract read
In one paragraph

Article in Asian spine journal, 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

What it found

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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

8 authors.

Weihang Zhu *Department of Spine Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Lei Li *Department of Spine Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Yida WangDepartment of Spine Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Yongbin WangDepartment of Spine Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Zihan CuiQingdao Medical College, Qingdao University, Qingdao, China.
Tianrui WangDepartment of Trauma Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Lu ZhangDepartment of Medical Research Center, The Affiliated Hospital of Qingdao University, Qingdao, China. zhanglu2022@qdu.edu.cn.
Chao WangDepartment of Spine Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China. dr_wangchao@hotmail.com.

Funding

National Natural Science Foundation of China 81902209National Natural Science Foundation of China 82071667
6 · The paper itself

Abstract

STUDY

designMendelian randomization (MR) and gene-level analysis. PURPOSE: To investigate the relationship between gut microbiota (GM) and spinal canal stenosis (SCS). OVERVIEW OF LITERATURE: To date, no studies have demonstrated the relationship between GM and SCS or explored its racial differences.

methodsThis study utilized summary data from publicly available, large-scale genome-wide association studies to investigate the causal relationship between GM and SCS in interracial, European, and East Asian populations using a bidirectional two-sample MR approach. Reverse MR analysis was conducted to estimate the effect of SCS on GM taxa with significant associations. Additionally, genelevel analyses-including Gene Ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, and protein-protein interaction network analysis-were performed to elucidate key biological processes and hub genes involved in both GM and SCS.

resultsIn the interracial population, five bacterial taxa were identified as risk factors and four as protective factors for SCS. Among Europeans, three bacterial taxa were associated with increased risk and three with reduced risk. In the East Asian population, seven bacterial taxa demonstrated protective effects, while one taxon was associated with increased risk. Sensitivity analyses revealed no evidence of heterogeneity or horizontal pleiotropy. Cross-comparisons indicated significant differences in GM profiles between European and East Asian populations. Gene-level analysis identified key GO terms, enriched KEGG pathways, and hub genes potentially mediating the relationship between GM and SCS.

conclusionThis study identified a potential causal relationship between GM and SCS, highlighting distinct microbial and genetic mechanisms in European and East Asian populations. The findings provide novel insights into the pathogenesis, prevention, and treatment of SCS. Gene-level analyses suggest potential molecular pathways underlying the GM-SCS association, providing a foundation for future mechanistic research.

Indexed as

AssociationComputational biologyGastrointestinal microbiomeMendelian randomization analysisSpinal stenosis

Identifiers

PMID41407501
PMCPMC13329239

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