Evidence map›Paper›PMID 33272114›Full record

ArticleCirculation research2021

Lipid Profiles and Heart Failure Risk: Results From Two Prospective Studies.

Clemens Wittenbecher, Fabian Eichelmann, Estefanía Toledo, Marta Guasch-Ferré, Miguel Ruiz-Canela, Jun Li, Fernando Arós, Chih-Hao Lee, Liming Liang, Jordi Salas-Salvadó and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Circulation research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
–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

66 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Heart failure etiology and lipoprotein subfractions: Insight from the SMARTEX-HF study.International journal of cardiology. Heart & vasculature · 2026
    Article
  7. Review
  8. Article
  9. Article
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  11. Article
  12. Observational
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  15. Cellular basis of HFpEF: contributions of abnormal lipids.Frontiers in cardiovascular medicine · 2026
    Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article

6 more citing papers are in PubMed but not listed here.

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.

Clemens WittenbecherDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (C.W., M.G.-F., J.L., C.-H.L., M.A.M.-G., F.B.H.).
Fabian EichelmannDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany (C.W., F.E., M.B.S.).
Estefanía ToledoDepartment of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain (E.T., M.R.-C., M.A.M.-G.).
Marta Guasch-FerréDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (C.W., M.G.-F., J.L., C.-H.L., M.A.M.-G., F.B.H.).
Miguel Ruiz-CanelaDepartment of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain (E.T., M.R.-C., M.A.M.-G.).
Jun LiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (C.W., M.G.-F., J.L., C.-H.L., M.A.M.-G., F.B.H.).
Fernando ArósCIBER Fisiopatología de la Obesidad y Nutricion (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain (E.T., M.R.-C., F.A., J.S.-S., M.A.M.-G.).
Chih-Hao LeeDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (C.W., M.G.-F., J.L., C.-H.L., M.A.M.-G., F.B.H.).
Liming LiangDepartment of Epidemiology (L.L., F.B.H.), Harvard T.H. Chan School of Public Health, Boston, MA.
Jordi Salas-SalvadóCIBER Fisiopatología de la Obesidad y Nutricion (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain (E.T., M.R.-C., F.A., J.S.-S., M.A.M.-G.).
Clary B ClishBroad Institute of MIT and Harvard, Cambridge, MA (C.B.C.).
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany (C.W., F.E., M.B.S.).
Miguel Ángel Martínez-GonzálezDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (C.W., M.G.-F., J.L., C.-H.L., M.A.M.-G., F.B.H.).
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (C.W., M.G.-F., J.L., C.-H.L., M.A.M.-G., F.B.H.).

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Elizabeth Austen Lawson, Takara Leah Stanley · 1994 to 2026
$31.6M
Mediterranean diet, Metabolites, and Cardiovascular DiseaseR01HL118264 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI HU, FRANK B, LAMUELA-RAVENTÓS, ROSA · 2013 to 2025
$6.8M
Dietary Interventions, Metabolites, and Risk of Type 2 DiabetesR01DK102896 · NIDDK · HARVARD SCHOOL OF PUBLIC HEALTH · PI HU, FRANK B, MARTINEZ GONZALEZ, MIGUEL A. · 2014 to 2017
$1.9M
NHLBI NIH HHS R01 HL118264NIDDK NIH HHS P30 DK040561NIDDK NIH HHS R01 DK102896
6 · The paper itself

Abstract

rationaleAltered lipid metabolism has been implicated in heart failure (HF) development, but no prospective studies have examined comprehensive lipidomics data and subsequent risk of HF.

objectiveWe aimed to link single lipid metabolites and lipidomics networks to the risk of developing HF. METHODS AND

resultsDiscovery analyses were based on 216 targeted lipids in a case-control study (331 incident HF cases and 507 controls, matched by age, sex, and study center), nested within the PREDIMED (Prevención con Dieta Mediterránea) study. Associations of single lipids were examined in conditional logistic regression models. Furthermore, lipidomics networks were linked to HF risk in a multistep workflow, including machine learning-based identification of the HF-related network clusters, and regression-based discovery of the HF-related lipid patterns within these clusters. If available, significant findings were externally validated in a subsample of the EPIC-Potsdam cohort (2414 at-risk participants, including 87 incident HF cases). After confounder-adjustments, 2 lipids were significantly associated with HF risk in both cohorts: CER (ceramide) 16:0 (relative risk [RR] per SD in PREDIMED, 1.28 [95% CI, 1.13-1.47]) and phosphatidylcholine 32_0 (RR per SD in PREDIMED, 1.23 [95% CI, 1.08-1.41]). Additionally, lipid patterns in several network clusters were associated with HF risk in PREDIMED. Adjusted for standard risk factors, an internally cross-validated score based on the significant HF-related lipids that were identified in the network analysis in PREDIMED was associated with a higher HF risk (20 lipids, RR per SD, 2.33 [95% CI, 1.93%-2.81%). Moreover, a lipid score restricted to the externally available lipids was significantly associated with HF incidence in both cohorts (6 lipids, RRs per SD, 1.30 [95% CI, 1.14-1.47] in PREDIMED, and 1.46 [95% CI, 1.17-1.82] in EPIC-Potsdam).

conclusionsOur study identified and validated 2 lipid metabolites and several lipidomics patterns as potential novel biomarkers of HF risk. Lipid profiling may capture preclinical molecular alterations that predispose for incident HF. Registration: URL: https://www.isrctn.com/ISRCTN35739639; Unique identifier: ISRCTN35739639.

Indexed as

AdultAgedAged, 80 and overBiomarkersCase-Control StudiesDyslipidemiasFemaleHeart Disease Risk FactorsHeart FailureHumansIncidenceLipidomicsLipidsMaleMiddle AgedPrevalenceBiomarkersLipidsbiomarkerheart failurelipidomicslipidsmetabolism

Identifiers

PMID33272114
PMCPMC7864881

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.