Evidence map›Paper›PMID 40794337›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2025

Exploring causal associations between nuclear magnetic resonance biomarkers and colorectal cancer risk.

Qingyi Zhou, Lichun Yang, Peiyu Zhu, Yutong Wang, Zilu Zhang, Liang Chu

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Article in Metabolomics : Official journal of the Metabolomic Society, 2025. 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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5 · Who and what money

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6 authors.

Qingyi ZhouSecond Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Lichun YangSecond Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Peiyu ZhuSecond Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Yutong WangBengbu Medical University, Bengbu, China.
Zilu ZhangBengbu Medical University, Bengbu, China.
Liang ChuSecond Affiliated Hospital of Bengbu Medical University, Bengbu, China. chew8151@163.com.ORCID http://orcid.org/0000-0002-8257-7326

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmerging evidence shows significant differences in plasma metabolites between colorectal cancer (CRC) patients and healthy controls. However, previous observational studies have been limited by small sample sizes and single sample sources, leading to an incomplete understanding of these metabolites' causal roles in CRC. This study systematically evaluated the causal relationships between 325 nuclear magnetic resonance (NMR) biomarkers and CRC risk using Mendelian randomization (MR), supplemented by colocalization analysis and an independent validation dataset to confirm key biomarkers.

methodsA genome-wide association study (GWAS) was conducted in a cohort of 250,341 participants from the UK Biobank. MR analysis identified NMR biomarkers with significant causal relationships with CRC. Colocalization analysis was then performed, revealing five biomarkers with high colocalization probabilities (PPH4 > 0.8). These findings were validated in an independent Finnish dataset to confirm the consistency of causal relationships and colocalization signals.

resultsMR analysis identified 28 NMR biomarkers with significant causal associations with CRC risk (P_fdr < 0.05). Colocalization analysis highlighted five biomarkers with strong colocalization signals (PPH4 > 0.8), including Omega-6 fatty acids, Omega-6 to total fatty acids ratio, Omega-3 fatty acids, Linoleic acid to total fatty acids percentage, and Degree of unsaturation. Notably, in the Finnish validation dataset, Linoleic acid to total fatty acids percentage demonstrated a significant causal association with CRC (OR 0.77, 95% CI 0.67-0.87, P = 7.5 × 10

conclusionsThis study provides the first comprehensive assessment of NMR biomarkers in relation to rectal cancer risk, identifying linoleic acid to total fatty acids percentage as a key causal biomarker. Additionally, omega-6 to omega-3 ratio, omega-6 to polyunsaturated fatty acids percentage, omega-3 to polyunsaturated fatty acids percentage, and degree of unsaturation were also identified, sharing genetic loci with CRC.

Indexed as

Biomarkers, TumorColorectal NeoplasmsAgedBiomarkersFemaleGenome-Wide Association StudyHumansMagnetic Resonance SpectroscopyMaleMendelian Randomization AnalysisMiddle AgedRisk FactorsBiomarkersBiomarkers, TumorCausalityColorectal cancerMendelian randomizationNuclear magnetic resonance biomarkers

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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.