Evidence map›Paper›PMID 42466482›Full record

ArticleJournal of the American Heart Association2026

Sarcopenia and Its Associated Metabolic Profile Predict Incident Heart Failure: A Prospective Cohort Study of 267 335 Adults in the UK Biobank.

Ziyi Zhong, Yang Chen, Qiao Xiang, Hongyu Liu, Manlin Zhao, Vanja Pekovic-Vaughan, Reijo Sund, Rajiv Sankaranarayanan, Daniel J Cuthbertson, Masoud Isanejad

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ziyi ZhongDepartment of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences University of Liverpool Liverpool UK.ORCID 0000-0003-3344-2019
Yang ChenDepartment of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences University of Liverpool Liverpool UK.ORCID 0000-0002-2808-6286
Qiao XiangDepartment of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences University of Liverpool Liverpool UK.
Hongyu LiuLiverpool Centre for Cardiovascular Science at University of Liverpool Liverpool John Moores University and Liverpool Heart & Chest Hospital Liverpool UK.ORCID 0000-0003-0383-8725
Manlin ZhaoLiverpool Centre for Cardiovascular Science at University of Liverpool Liverpool John Moores University and Liverpool Heart & Chest Hospital Liverpool UK.ORCID 0000-0002-5073-1798
Vanja Pekovic-VaughanDepartment of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences University of Liverpool Liverpool UK.
Reijo SundInstitute of Clinical Medicine, Kuopio Musculoskeletal Research Unit University of Eastern Finland Kuopio Finland.ORCID 0000-0002-6268-8117
Rajiv SankaranarayananLiverpool Centre for Cardiovascular Science at University of Liverpool Liverpool John Moores University and Liverpool Heart & Chest Hospital Liverpool UK.ORCID 0000-0003-2355-2011
Daniel J CuthbertsonDepartment of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences University of Liverpool Liverpool UK.ORCID 0000-0002-6128-0822
Masoud IsanejadDepartment of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences University of Liverpool Liverpool UK.ORCID 0000-0002-3720-5152

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenia is prevalent in heart failure (HF), but its role in incident HF and underlying metabolic mechanisms remains unclear. We examined the interplay between sarcopenia phenotypes, circulating metabolic profiles, and incident HF.

methodsWe analyzed UK Biobank participants without baseline HF. Associations between sarcopenia phenotypes and HF incidence were assessed using Cox regression. Nuclear magnetic resonance metabolomics was used to characterize sarcopenia-related profiles. Cox regression was applied to test metabolite-HF associations, and least absolute shrinkage and selection operator regression was further used to refine predictors. Incremental predictive value beyond clinical risk factors was evaluated using discrimination and reclassification metrics.

resultsDuring a median 15.3 years, 10 233 of 267 335 participants (mean age 56.5 ± 8.1 years; 44.6% men) developed HF. Groups with confirmed sarcopenia (n=1993) and low handgrip strength (normalized to body mass index) only (n=18 796) were associated with higher HF risk (hazard ratio [HR], 1.63 [95% CI, 1.44-1.85]; HR, 1.76 [95% CI, 1.66-1.85]) compared with the reference group, with stronger effects observed in younger adults and women. Metabolomic profiling revealed sarcopenia-related alterations (higher glycoprotein acetyls, glucose-lactate, phenylalanine, tyrosine, 3-hydroxybutyrate; lower omega-3 fatty acids, docosahexaenoic acid, glycine, glutamine, histidine), which also predicted higher HF risk (Bonferroni-adjusted

conclusionsSarcopenia, particularly reduced handgrip strength, was a strong predictor for incident HF. Lipid-, amino acid-, and energy metabolism-related alterations modestly improved risk prediction and partially mediated the association.

Indexed as

Heart FailureMetabolomeSarcopeniaAdultAgedBiological Specimen BanksBiomarkersEnergy MetabolismFemaleHand StrengthHumansIncidenceMaleMetabolomicsMiddle AgedPhenotypeBiomarkersheart failuremodel discriminationNMR metabolomicssarcopeniaUK Biobank

Identifiers

PMID42466482
PMCPMC13477333

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.