Evidence map›Paper›PMID 40070582›Full record

ArticleFrontiers in endocrinology2025

Effect of fat distribution on left ventricular structure and function in different sexes: a Mendelian randomization study.

Hang Li, Guangjiao Yin, Yanfang Zhang, Ziwei Wang, Fang Lv, Rui Li, Juanjuan Qin, Xujun Ye

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Hang Li *Department of Geriatrics, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Guangjiao Yin *Department of Geriatrics, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Yanfang Zhang *Department of Geriatrics, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Ziwei WangDepartment of Geriatrics, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Fang LvDepartment of Geriatrics, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Rui LiDepartment of Geriatrics, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Juanjuan QinDepartment of Geriatrics, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Xujun YeDepartment of Geriatrics, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although there is an interaction between sex, body fat distribution, and cardiac structure and function, these relationships have not been fully elucidated yet. This study aims to reveal the causal relationship between genetic determinants of fat distribution pattern and function of the left ventricular structure in different sexes. Methods: Genetic variants for waist circumference, hip circumference, waist-to-hip ratio (WHR), and body mass index (BMI) were selected from genome-wide association studies conducted in European samples. The dataset for left ventricular (LV) parameters was obtained from over 35,000 European samples in the UK Biobank Cardiovascular Magnetic Resonance sub-study. Two-sample Mendelian randomization (MR) analysis was employed to explore causal relationships. Results: After adjusting for BMI, WHR shows a positive causal relationship with LV hypertrophy and a significant negative causal relationship with LV volume and diastolic function. In further subgroup analysis, we only found similar results in WHR among the female population (FWHR), while in the male population, there was no significant causal relationship between MWHR and LV hypertrophy and diastolic function. Additionally, in our MR analysis, no causal relationship was found between WHR and LVEF. Conclusions: This study indicates that the fat distribution pattern has unique effects on the structure and function of the LV, and these effects vary by sex. This study provides evidence for a causal relationship between fat distribution and LV structure and function across both sexes.

Indexed as

Body Fat DistributionHeart VentriclesHypertrophy, Left VentricularVentricular Function, LeftBody Mass IndexFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMiddle AgedPolymorphism, Single NucleotideSex FactorsWaist-Hip Ratiofat distribution patternleft ventricular structure and functionMendelian randomizationsex differenceswaist-to-hip ratio

Identifiers

PMID40070582
PMCPMC11893391

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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.