Author, as appears in the article.: Wittenbecher, Clemens; Eichelmann, Fabian; Toledo, Estefania; Guasch-Ferre, Marta; Ruiz-Canela, Miguel; Li, Jun; Aros, Fernando; Lee, Chih-Hao; Liang, Liming; Salas-Salvado, Jordi; Clish, Clary B.; Schulze, Matthias B.; Martinez-Gonzalez, Miguel Angel; Hu, Frank B.;
Department: Bioquímica i Biotecnologia
URV's Author/s: Salas Salvadó, Jorge
Keywords: Very elderly Time factors Time factor Risk assessment Randomized controlled trials as topic Randomized controlled trial (topic) Prospective study Prospective studies Prognosis Prevalence Multicenter study Middle aged Metabolism Male Lipids Lipidomics Lipid Incidence Humans Human Heart failure Heart disease risk factors Female Dyslipidemias Dyslipidemia Clinical trial Case-control studies Case control study Blood Biomarkers Biomarker Biological marker Aged, 80 and over Aged Adult
Abstract: RATIONALE: Altered lipid metabolism has been implicated in heart failure (HF) development, but no prospective studies have examined comprehensive lipidomics data and subsequent risk of HF.
OBJECTIVE: We aimed to link single lipid metabolites and lipidomics networks to the risk of developing HF.
METHODS AND RESULTS: Discovery 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 (Prevencion con Dieta Mediterranea) 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).
CONCLUSIONS: Our 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.
Thematic Areas: Saúde coletiva Química Physiology Peripheral vascular disease Nutrição Medicina i Interdisciplinar Hematology General medicine Engenharias ii Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Cardiology and cardiovascular medicine Cardiac & cardiovascular systems Biotecnología
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: jordi.salas@urv.cat
Author identifier: 0000-0003-2700-7459
Record's date: 2023-02-19
Papper version: info:eu-repo/semantics/acceptedVersion
Link to the original source: https://www.ahajournals.org/doi/10.1161/CIRCRESAHA.120.317883
Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Circulation Research. 128 (3): 309-320
APA: Wittenbecher, Clemens; Eichelmann, Fabian; Toledo, Estefania; Guasch-Ferre, Marta; Ruiz-Canela, Miguel; Li, Jun; Aros, Fernando; Lee, Chih-Hao; Liang, (2021). Lipid Profiles and Heart Failure Risk Results From Two Prospective Studies. Circulation Research, 128(3), 309-320. DOI: 10.1161/CIRCRESAHA.120.317883
Article's DOI: 10.1161/CIRCRESAHA.120.317883
Entity: Universitat Rovira i Virgili
Journal publication year: 2021
Publication Type: Journal Publications
Repositori URV