Evidence map›Paper›PMID 41566935›Full record

ArticleEndocrinology and metabolism (Seoul, Korea)2026

Associations between Metabolic Syndrome Indicators and Colon Polyps: A Mendelian Randomization Study.

Dongya Chen, Hong Xu, Zhaolin Zhang, Fang Chen, Qingqing Lu, Feng Pan

Abstract read
In one paragraph

Article in Endocrinology and metabolism (Seoul, Korea), 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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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

6 authors.

Dongya ChenDepartment of Gastroenterology and Hepatology, Hangzhou Red Cross Hospital, Hangzhou, China. cdy1116@126.com.
Hong XuDepartment of Gastroenterology and Hepatology, Hangzhou Red Cross Hospital, Hangzhou, China.
Zhaolin ZhangDepartment of Gastroenterology and Hepatology, Hangzhou Red Cross Hospital, Hangzhou, China.
Fang ChenDepartment of Gastroenterology and Hepatology, Hangzhou Red Cross Hospital, Hangzhou, China.
Qingqing LuDepartment of Gastroenterology and Hepatology, Hangzhou Red Cross Hospital, Hangzhou, China.
Feng PanDepartment of Gastroenterology and Hepatology, Hangzhou Red Cross Hospital, Hangzhou, China. 13588757088@163.com.

Funding

Zhejiang Medical and Health Science and Technology project 2023KY194
6 · The paper itself

Abstract

backgruoundWhile observational studies have suggested a potential link between metabolic syndrome (MetS) and an increased risk of colon polyps, the causal nature of this association remains uncertain. This study used a two-sample Mendelian randomization (MR) approach to evaluate the relationship between MetS and colon polyps.

methodsA two-sample MR analysis was performed using data on MetS, its indicators, and colon polyps obtained from publicly available genome-wide association studies in the Integrative Epidemiology Unit (IEU) and MAGIC databases. Outliers were removed using Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO), followed by MR calculations and false discovery rate (FDR) correction. The primary analysis was conducted with the inverse variance-weighted (IVW) method.

resultsThe IVW results indicated no association between hypertension, hyperlipidemia, or diabetes and the risk of colon polyps. High-density lipoprotein cholesterol (HDL-C) (P=0.005), 2-hour glucose (P=0.004), glycated hemoglobin A1c (P=0.004), and the ratio of omega-6 to omega-3 fatty acids (P<0.001) were negatively associated with colon polyps. Conversely, body mass index (BMI) (P<0.001), body fat percentage (P=0.002), waist-to-hip ratio adjusted for BMI (P=0.001), total cholesterol (TC) (P=0.002), triglycerides (TG) (P<0.001), and both omega-3 (P<0.001) and omega-6 fatty acid levels (P=0.02) were positively associated with colon polyps. The relationships between these metabolic indicators and colon polyps remained significant after FDR correction.

conclusionObesity-related traits, TC, and TG may increase the risk of colon polyps, while HDL-C may have a protective effect.

Indexed as

Colonic PolypsMetabolic SyndromeObesityBlood GlucoseBody Mass IndexCausalityCholesterol, HDLDatasets as TopicFatty Acids, Omega-3Fatty Acids, Omega-6Genome-Wide Association StudyGlycated HemoglobinHumansMendelian Randomization AnalysisProtective FactorsRisk FactorsBlood GlucoseCholesterol, HDLFatty Acids, Omega-3Fatty Acids, Omega-6Glycated HemoglobinTriglyceridesColonic polypsLipidsMendelian randomizationMetabolic syndrome

Identifiers

PMID41566935
PMCPMC13172593

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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.