Evidence map›Paper›PMID 41243889›Full record

ArticleAnatolian journal of cardiology2025

Triglyceride-Glucose Index and the Risk of Calcific Aortic Valve Stenosis: A Bidirectional Mendelian Randomization Study.

Xuecheng Song, Xinghong Lin, Xin Xu, Yongming He

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Article in Anatolian journal of cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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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

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xuecheng SongDepartment of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou City, China
Xinghong LinDepartment of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou City, China
Xin XuDepartment of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou City, China
Yongming HeDepartment of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou City, China

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCalcific aortic valve stenosis (CAVS), the predominant valvular heart disease in developed countries, arises primarily from metabolic and inflammatory dysregulation. The triglyceride-glucose (TyG) index, a composite biomarker of insulin resistance and systemic inflammation, has been associated with cardiovascular diseases. However, its causal association with CAVS remains unclear. This study employs bidirectional Mendelian randomization (MR) to elucidate the potential causal relationship between the TyG index and CAVS.

methodsGenome-wide association study) summary statistics of TyG index and CAVS were obtained from UK-biobank cohort (n = 273 368) and FinnGen database (cases = 12 418 and controls = 487 930). Two-sample MR and multiple MR analyses were conducted to evaluate the association of TyG index with CAVS. The primary method was inverse variance weighted (IVW), complemented by MR-Egger, weighted median, and sensitivity analyses to ensure robustness.

resultsThe MR analysis demonstrated a significant causal effect of the higher TyG index (per 1-unit increment of TyG index) on CAVS risk (odds ratio [OR] = 1.50, P = .007, 95% CI: 1.12-2.02). Similar causal relationships were observed for triglyceride and glucose levels with CAVS. Sensitivity analyses confirmed robustness with no evidence of horizontal pleiotropy (P > .05). This association remained statistically significant in multiple MR analyses after adjusting for potential confounders (OR = 1.64, P = .003, 95% CI: 1.18-2.28). No reverse causality from CAVS to the TyG index was detected.

conclusionThis MR study provides evidence supporting the causal effect of higher TyG index on CAVS.

Indexed as

Aortic ValveAortic Valve StenosisBlood GlucoseCalcinosisTriglyceridesBiomarkersFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisRisk FactorsBiomarkersBlood GlucoseTriglycerides

Identifiers

PMID41243889
PMCPMC12908881

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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.