Evidence map›Paper›PMID 41378459›Full record

ArticleJournal of the American Heart Association2025

Serum Metabolites and Heart Failure Risk: MESA and RS.

Fang Zhu, Arjun Sinha, Gonçalo Graça, Ian J Neeland, Ambarish Pandey, Ioanna Tzoulaki, Ibrahim Karaman, Russell P Tracy, Joao A C Lima, Sanjiv J Shah and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2025. 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

14 authors.

Fang ZhuEpidemiology and Community Health Branch, National Heart, Lung, and Blood Institute National Institutes of Health Bethesda MD USA.
Arjun SinhaDepartment of Preventive Medicine Northwestern University Feinberg School of Medicine Chicago IL USA.
Gonçalo GraçaSection of Bioinformatics, Department of Metabolism, Digestion and Reproduction Imperial College London London UK.ORCID 0000-0002-0876-3876
Ian J NeelandHarrington Heart and Vascular Institute University Hospitals Cleveland and Case Western Reserve University School of Medicine Cleveland OH USA.ORCID 0000-0003-2831-3618
Ambarish PandeyDivision of Cardiology, Department of Medicine University of Texas Southwestern Medical Center Dallas TX USA.ORCID 0000-0001-9651-3836
Ioanna TzoulakiDepartment of Epidemiology and Biostatistics School of Public Health Imperial College London London UK.ORCID 0000-0002-4275-9328
Ibrahim KaramanDepartment of Epidemiology and Biostatistics School of Public Health Imperial College London London UK.ORCID 0000-0001-9341-8155
Russell P TracyDepartment of Pathology and Laboratory Medicine University of Vermont College of Medicine Burlington VT USA.ORCID 0000-0002-0080-2420
Joao A C LimaDivision of Cardiology, Department of Medicine Johns Hopkins University School of Medicine Baltimore MD USA.ORCID 0000-0001-8756-6995
Sanjiv J ShahDivision of Cardiology, Department of Medicine Northwestern University Feinberg School of Medicine Chicago IL USA.ORCID 0000-0002-5655-8201
David HerringtonSection on Cardiovascular Medicine Wake Forest University School of Medicine Winston-Salem NC USA.ORCID 0000-0002-7670-6400
Michael P BancksDepartment of Epidemiology and Prevention Wake Forest University School of Medicine Winston-Salem NC USA.ORCID 0000-0003-3694-6060
Adovich S RiveraDepartment of Preventive Medicine Northwestern University Feinberg School of Medicine Chicago IL USA.
Philip GreenlandDepartment of Preventive Medicine Northwestern University Feinberg School of Medicine Chicago IL USA.ORCID 0000-0002-6327-2439

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of circulating metabolites in heart failure (HF) mechanisms and their clinical utility remain unclear. We aimed to examine the associations between serum metabolites and incident HF and assess their performance in improving HF risk prediction.

methodsA total of 23 571 serum metabolomic spectral variables were measured using untargeted proton nuclear magnetic resonance spectroscopy. Participants from MESA (Multi-Ethnic Study of Atherosclerosis; discovery cohort) and RS (Rotterdam Study; replication cohort) with metabolomic data and without prevalent HF at baseline were included. Cause-specific proportional hazards models were used to estimate the associations between metabolomic features and incident HF, with false discovery rate-adjusted

resultsWe included 3942 MESA and 1515 RS participants, with a median of 15 years follow-up. In MESA, 15 metabolites were significantly associated with incident HF (false discovery rate-adjusted

conclusionsFifteen proton nuclear magnetic resonance-measured metabolites were associated with incident HF, but these associations were not independent of diabetes or hypertension. These metabolites provided minimal predictive utility beyond PREVENT-HF equations.

Indexed as

Heart FailureMetabolomicsAgedAged, 80 and overBiomarkersFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk AssessmentRisk FactorsUnited StatesBiomarkersheart failuremetabolomicsrisk prediction

Identifiers

PMID41378459
PMCPMC12826921

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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.