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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 (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 ne
SUBMITTER: Wittenbecher C
PROVIDER: S-EPMC7864881 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature