Evidence map›Paper›PMID 42305310›Full record

ArticleArchives of medical science : AMS2026

The causal effects of 1400 genetically determined human blood metabolites and metabolite ratios on the risk of gastrointestinal tumors: a Mendelian randomization study.

Qi Fu, Lele Zhang, Ji Di

Abstract read
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Article in Archives of medical science : AMS, 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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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Qi FuQinghai University Affiliated Hospital (The Clinical Medical School), Qinghai University, Xining, China.
Lele ZhangGansu Corps Hospital of CAPF, Lanzhou, China.
Ji DiQinghai University Affiliated Hospital (The Clinical Medical School), Qinghai University, Xining, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Recently, studies investigating the association between blood metabolites and gastrointestinal tumors have gained increased attention. A Mendelian randomization (MR) study is considered the second most persuasive research method to explore the causal relationship between exposure and outcome after RCT. Material and methods: This analysis utilized the inverse variance weighted (IVW) method, the weighted median (WM) method, and MR-Egger regression. Initially, we analyzed GWAS data from the FinnGen database to identify various metabolites and their ratios. Subsequently, we repeatedly analyzed GWAS data from the Open GWAS database to filter out duplicate results. Results: 5-methyluridine (FinnGen : odds ratio (OR) = 1.16, 95% confidence interval (CI) = 1.02-1.31, Conclusions: Three blood metabolites were found to be associated with the risk of GC; 4 blood metabolites and metabolite ratios were associated with the risk of CRC. These findings may provide valuable guidance for the early clinical diagnosis and treatment of gastrointestinal tumors.

Indexed as

gastrointestinal tumorshuman blood metabolitesMendelian randomizationmetabolite ratiosrisk

Identifiers

PMID42305310
PMCPMC13266758

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