Evidence map›Paper›PMID 40153760›Full record

ArticleMedicine2025

Effect of obesity on cardiovascular morphofunctional phenotype: Study of Mendelian randomization.

Xiaoyu Jiang, Longqing Yu, Jingyi Li, Xizhuang Gao, Jinlin Wang, Guangyi Qu, Cheng Shen, Lijun Gan

Abstract read
In one paragraph

Article in Medicine, 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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

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.

Xiaoyu JiangDepartment of Clinical Medicine, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, Shandong Province, China.
Longqing YuDepartment of Clinical Medicine, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, Shandong Province, China.
Jingyi LiDepartment of Clinical Medicine, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, Shandong Province, China.
Xizhuang GaoDepartment of Clinical Medicine, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, Shandong Province, China.
Jinlin WangDepartment of Clinical Medicine, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, Shandong Province, China.
Guangyi QuDepartment of Clinical Medicine, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, Shandong Province, China.
Cheng ShenDepartment of Cardiology, Jining Key Laboratory for Diagnosis and Treatment of Cardiovascular Diseases, Affiliated Hospital of Jining Medical University, Jining, Shandong Province, China.
Lijun GanDepartment of Cardiology, Jining Key Laboratory for Diagnosis and Treatment of Cardiovascular Diseases, Affiliated Hospital of Jining Medical University, Jining, Shandong Province, China.ORCID 0009-0006-2123-4844

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is an independent factor for cardiovascular diseases, impacting health across different age groups. cardiovascular magnetic resonance (CMR) imaging is considered the gold standard for noninvasive assessment of cardiovascular structure and function. We conducted a Mendelian randomization (MR) study to explore the associations between obesity-related traits and the clinical pre-phenotype of cardiac and aortic structure and function.

methodsIndependent genetic variations significantly correlated with adult body mass index, adult waist-to-hip ratio, birth weight, child body mass index, and excess visceral fat were selected as instrumental variables. Eighty-two CMR imaging features were obtained from the UK Biobank Genome-Wide Association Study. These features served as clinical pre-phenotypes, providing early indications of the structure and function of the 4 cardiac chambers and 2 aortic slices. Preliminary analyses were conducted using MR and inverse variance-weighted methods. Causal directions were determined through Steiger filtering and testing, achieving confirmation. Sensitivity analyses were performed using weighted median, MR-Egger, and MR-PRESSO methods.

resultsAdult BMI was positively correlated with left ventricular end-systolic volume, right ventricular end-diastolic volume, right ventricular end-systolic volume, and right ventricular volume per beat. The adult waist-to-hip ratio was inversely proportional to right atrial volume per beat, right atrial maximum volume, right atrial minimum volume, partial regional longitudinal strain, regional peak circumferential strain, and regional radial strain, and positively proportional to partial regional peak circumferential strain and partial end-diastolic local myocardial wall thickness characteristics. Birth weight was positively correlated with maximum right atrial volume, minimum right atrial volume, right atrial volume per beat, right ventricular end-diastolic volume, right ventricular output per beat, maximum area of the ascending aorta, minimum area of the ascending aorta, and negatively correlated with longitudinal strain in some regions. Body mass index in children is positively correlated with left ventricular end-diastolic volume, left ventricular end-systolic volume, left atrial volume per beat, right ventricular end-diastolic volume, and right ventricular volume per beat.

conclusionThis study suggests that obesity may lead to myocardial hypertrophy and dilation of the cardiac chambers and aorta, thereby exerting adverse effects on the cardiovascular system and increasing the susceptibility to HF.

Indexed as

Cardiovascular DiseasesObesityAdultBody Mass IndexFemaleGenome-Wide Association StudyHumansMagnetic Resonance ImagingMaleMendelian Randomization AnalysisMiddle AgedPhenotypeWaist-Hip Ratio

Identifiers

PMID40153760
PMCPMC11957645

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Registered trials

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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.