Evidence map›Paper›PMID 40866897›Full record

ArticleEuropean journal of medical research2025

The association of metabolic syndrome with aortic aneurysm: a two-sample Mendelian randomization study.

Chaodi Luo, Yiting Zhao, Jing Zhang, Qiang Ma

Abstract read
In one paragraph

Article in European journal of medical research, 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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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

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Chaodi LuoDepartment of Peripheral Vascular Diseases, First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, Shaanxi, People's Republic of China.
Yiting ZhaoDepartment of Cardiology, Second Affiliated Hospital of Air Force Medical University, Xi'an, People's Republic of China.
Jing ZhangDepartment of Cardiology, Second Affiliated Hospital of Air Force Medical University, Xi'an, People's Republic of China.
Qiang MaDepartment of Peripheral Vascular Diseases, First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, Shaanxi, People's Republic of China. evil37ma@163.com.

Funding

Natural Science Basic Research Program of Shaanxi Province No. 2025JC-YBQN-1154Project of Basic Research of the First Affiliated Hospital of Xi'an Jiaotong University No. 2024-QN-6the Basic Scientific Research of Xi 'an Jiaotong University No. xzy012025122
6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) has been proved to be associated with cardiovascular disease, and recent observational studies have revealed the association between MetS and its components and aortic aneurysm (AA), but the causal relationship still uncertain. The study aimed to explore the causal effect of MetS on AA using Mendelian randomization (MR) analysis.

methodsSingle nucleotide polymorphisms (SNP) of MetS and its components were extracted from publicly available genome-wide association study (GWAS) database. Inverse variance weighting (IVW), weighted median method, simple mode method, weighted mode method, and MR-Egger regression were used to evaluate causality. Sensitivity analysis, heterogeneity test, and pleiotropy test were done so as to ensure the stability of the analyzed results.

resultsIVW showed that genetically predicted MetS had a significantly positive association with the risk of AA (OR: 1.308; 95% CI 1.175-1.456). In exploring the causal relationship between the components of MetS and AA, body mass index (BMI) (OR: 1.322; 95% CI 1.132-1.543), waist circumstance (WC) (OR: 1.282; 95% CI 1.055-1.558), triglycerides (TG) (OR: 1.436; 95% CI 1.253-1.646), systolic blood pressure (SBP) (OR: 1.023; 95% CI 1.014-1.033), and diastolic blood pressure (DBP) (OR: 1.086; 95% CI 1.069-1.103) could increase the risk of AA. However, high density lipoprotein cholesterol (HDL-C) (OR: 0.722; 95% CI 0.638-0.818), fasting blood glucose (OR: 0.683; 95% CI 0.488-0.957) and type 2 diabetes (T2DM) (OR: 0.904; 95% CI 0.831-0.983) were negative association with the risk of AA.

conclusionsThe present study strengthened the evidence for a causal association between MetS and the risk of AA and revealed that MetS and its individual components, excluding elevated blood glucose and T2DM, increased the risk of AA.

Indexed as

Aortic AneurysmMetabolic SyndromeGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideRisk FactorsAortic aneurysmCausalityMendelian randomizationMetabolic syndromeRisk factors

Identifiers

PMID40866897
PMCPMC12382083

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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.