Evidence mapPaperPMID 40844600Full record

ArticleEuropean heart journal2025

Sex-specific body fat distribution predicts cardiovascular ageing.

Vladimir Losev, Chang Lu, Shamin Tahasildar, Deva S Senevirathne, Paolo Inglese, Wenjia Bai, Andrew P King, Mit Shah, Antonio de Marvao, Declan P O'Regan

Abstract read
In one paragraph

Article in European heart journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

10 authors.

Vladimir LosevMRC Laboratory of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, UK.ORCID 0000-0001-9677-7022
Chang LuMRC Laboratory of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, UK.ORCID 0000-0002-3272-0120
Shamin TahasildarMRC Laboratory of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, UK.ORCID 0009-0000-1463-9997
Deva S SenevirathneMRC Laboratory of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, UK.ORCID 0009-0008-8010-856X
Paolo IngleseMRC Laboratory of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, UK.ORCID 0000-0001-6179-9643
Wenjia BaiDepartment of Computing, Imperial College London, London, UK.ORCID 0000-0003-2943-7698
Andrew P KingSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.ORCID 0000-0002-9965-7015
Mit ShahMRC Laboratory of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, UK.ORCID 0000-0001-7285-3596
Antonio de MarvaoMRC Laboratory of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, UK.ORCID 0000-0001-9095-5887
Declan P O'ReganMRC Laboratory of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, UK.ORCID 0000-0002-0691-0270

Funding

British Heart Foundation CH/P/23/80008British Heart Foundation RE/24/130023British Heart Foundation RG/19/6/34387Imperial College Biomedical Research CentreMedical Research Council MC_UP_1605/13National Institute for Health Research (NIHR)
6 · The paper itself

Abstract

BACKGROUND AND

aimsCardiovascular ageing is a progressive loss of physiological reserve, modified by environmental and genetic risk factors, that contributes to multi-morbidity due to accumulated damage across diverse cell types, tissues, and organs. Obesity is implicated in premature ageing, but the effect of body fat distribution in humans is unknown. This study determined the influence of sex-dependent fat phenotypes on human cardiovascular ageing.

methodsData from 21 241 participants in the UK Biobank were analysed. Machine learning was used to predict cardiovascular age from 126 image-derived traits of vascular function, cardiac motion, and myocardial fibrosis. An age-delta was calculated as the difference between predicted age and chronological age. The volume and distribution of body fat was assessed from whole-body imaging. The association between fat phenotypes and cardiovascular age-delta was assessed using multivariable linear regression with age and sex as co-covariates, reporting β coefficients with 95% confidence intervals (CI). Two-sample Mendelian randomization was used to assess causal associations.

resultsVisceral adipose tissue volume [β = 0.656, (95% CI, .537-.775), P < .0001], muscle adipose tissue infiltration [β = 0.183, (95% CI, .122-.244), P = .0003], and liver fat fraction [β = 1.066, (95% CI .835-1.298), P < .0001] were the strongest predictors of increased cardiovascular age-delta for both sexes. Abdominal subcutaneous adipose tissue volume [β = 0.432, (95% CI, .269-.596), P < .0001] and android fat mass [β = 0.983, (95% CI, .64-1.326), P < .0001] were each associated with increased age-delta only in males. Genetically predicted gynoid fat showed an association with decreased age-delta.

conclusionsShared and sex-specific patterns of body fat are associated with both protective and harmful changes in cardiovascular ageing, highlighting adipose tissue distribution and function as a key target for interventions to extend healthy lifespan.

Indexed as

AgingBody Fat DistributionCardiovascular DiseasesAdipose TissueAdultAgedFemaleHumansMaleMiddle AgedSex FactorsAgeingBody compositionMRISex differences

Identifiers

PMID40844600
PMCPMC12682380

What Socratic holds

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LicenceCC BY
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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 Socratic graph.