Abstract

Background: Developing an understanding of the biochemistry of aging in both sexes is critical for managing disease throughout the lifespan. Lipidomic associations with age and sex have been reported, but prior studies are limited by measurements in serum rather than plasma or by participants taking lipid-lowering medications. Methods: Our study included lipidomic data from 980 participants aged 18–87 years old from the Genetics of Lipid-Lowering Drugs and Diet Network (GOLDN). Participants were off lipid-lowering medications for at least 4 weeks, and signal intensities of 413 known lipid species were measured in plasma. We examined linear age and sex associations with signal intensity of (a) 413 lipid species; (b) 6 lipid classes (glycerolipids, glycerophospholipids, sphingolipids, sterol lipids, fatty acids, and acylcarnitines); and (c) 15 lipid subclasses; as well as with the particle sizes of three lipoproteins. Results: Significant age associations were identified in 4 classes, 11 subclasses, 147 species, and particle size of one lipoprotein while significant sex differences were identified in 5 classes, 12 subclasses, 248 species, and particle sizes of two lipoproteins. For many lipid species (n = 97), age-related associations were significantly different between males and females. Age*sex interaction effects were most prevalent among phosphatidylcholines, sphingomyelins, and triglycerides. Conclusion: We identified several lipid species, subclasses, and classes that differ by age and sex; these lipid phenotypes may serve as useful biomarkers for lipid changes and associated cardiovascular risk with aging in the future. Future studies of age-related changes throughout the adult lifespan of both sexes are warranted. Trial registration: ClinicalTrials.gov NCT00083369; May 21, 2004.

Original languageEnglish
Article number30
JournalLipids in Health and Disease
Volume20
Issue number1
DOIs
StatePublished - Dec 2021

Bibliographical note

Publisher Copyright:
© 2021, The Author(s).

Funding

GOLDN biospecimens and baseline phenotype data were collected with funding from National Heart, Lung, and Blood Institute (NHLBI) grant U01HL072524. This work was also supported in part by grants from the National Center for Advancing Translational Sciences (UL1TR001998), the National Institute of Diabetes and Digestive and Kidney Diseases (1R01DK113625), the National Institute on Aging (1R56AG057589), the NHLBI (R01HL091357), the National Institute of General Medical Sciences (1P20GM130456), and the American Heart Association (15SDG25760020). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

FundersFunder number
National Institute on Aging1R56AG057589
National Heart, Lung, and Blood Institute (NHLBI)R01HL091357, U01HL072524
National Institute of General Medical Sciences1P20GM130456
National Institute of Diabetes and Digestive and Kidney DiseasesR01DK113625
American the American Heart Association15SDG25760020
National Center for Advancing Translational Sciences (NCATS)UL1TR001998

    Keywords

    • Acylcarnitines
    • Age
    • Cohort
    • Fatty acid
    • Glycerolipids
    • Glycerophospholipids
    • Lipidomics
    • Sex
    • Sphingomyelin
    • Sterols

    ASJC Scopus subject areas

    • Endocrinology, Diabetes and Metabolism
    • Endocrinology
    • Clinical Biochemistry
    • Biochemistry, medical

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