Evidence map›Paper›PMID 40594700›Full record

ArticleScientific reports2025

Causal effects of brain subregion gene expression on inflammatory bowel diseases revealed by Mendelian randomization and single cell analysis.

Yuan Li, Yao Wang, Simeng Chen, Lijia Liu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yuan LiDepartment of General Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China.
Yao WangDepartment of General Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China.
Simeng ChenDepartment of General Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China.
Lijia LiuDepartment of General Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China. lljnj2013@163.com.

Funding

Jiangsu Province's Key Provincial Talents Program ZDXK202222National Natural Science Foundation of China 82202375
6 · The paper itself

Abstract

Inflammatory Bowel Diseases (IBDs), including Ulcerative Colitis (UC) and Crohn's Disease (CD), are chronic gastrointestinal disorders. The gut-brain axis integrates various signals, but its impact on IBD is unclear. Using Mendelian Randomization, we evaluated causal relationships between 13 brain subregions and colon expression quantitative trait loci (eQTLs) with IBDs. Trans-omics analysis, integrating brain, CD and UC intestine single-cell RNA sequencing and genomic eQTLs, identified cellular sources of key genes. Phenome-Wide Association Studies (PheWAS) filtered phenotype associations of leading SNPs. Brain eQTLs showed meaningful associations with IBD susceptibility, with consistent patterns observed across multiple independent cohorts (IIBDGC, UKB, and FinnGen). However, correlation analysis revealed that eQTL sample sizes significantly influence the detection of significant associations (r = 0.53-0.90), indicating that direct quantitative comparisons between tissues should be interpreted cautiously. Multiple brain regions, including the cerebellum, cerebellar hemisphere, and cortex, demonstrated notable associations with IBD. Exploratory analysis identified genes CCDC88B, NAAA and NAGLU showing putative positive causal associations with IBD susceptibility in both brain and colon tissues, whereas CWC15 exhibited an inverse relationship. Stringent Bonferroni correction validated CCDC88B and NAGLU as robust candidates across multiple tissues and IBD subtypes. Single-cell RNA sequencing identified dendritic cells and epithelial cells as sources of NAAA and CWC15, respectively, enriched in inflammatory pathways. PheWAS showed leading SNPs associated with metabolic dysfunction, immune disorders, and brain imaging measures. This study demonstrates meaningful brain-gut axis involvement in IBD pathogenesis while acknowledging methodological limitations in cross-tissue comparisons. The identified candidate genes and cellular mechanisms provide new insights for understanding IBD susceptibility and potential therapeutic targets.

Indexed as

BrainInflammatory Bowel DiseasesColitis, UlcerativeCrohn DiseaseGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideQuantitative Trait LociSingle-Cell AnalysisBrain-gut axisCrohn’s diseaseeQTLInflammatory bowel diseaseSingle-cell RNA sequencingSummary Data-based Mendelian randomization

Identifiers

PMID40594700
PMCPMC12217771

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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.