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. 2023 Feb;45(1):359-369.
doi: 10.1007/s11357-022-00638-9. Epub 2022 Aug 11.

Lipidomics profiling of biological aging in American Indians: the Strong Heart Family Study

Pooja Subedi #  1 , Helena Palma-Gudiel #  1 , Oliver Fiehn  2 , Lyle G Best  3 , Elisa T Lee  4 , Barbara V Howard  5   6 , Jinying Zhao  7
Affiliations

Lipidomics profiling of biological aging in American Indians: the Strong Heart Family Study

Pooja Subedi et al. Geroscience. 2023 Feb.

Abstract

Telomeres shorten with age and shorter leukocyte telomere length (LTL) has been associated with various age-related diseases. Thus, LTL has been considered a biomarker of biological aging. Dyslipidemia is an established risk factor for most age-related metabolic disorders. However, little is known about the relationship between LTL and dyslipidemia. Lipidomics is a new biochemical technique that can simultaneously identify and quantify hundreds to thousands of small molecular lipid species. In a large population comprising 1843 well-characterized American Indians in the Strong Heart Family Study, we examined the lipidomic profile of biological aging assessed by LTL. Briefly, LTL was quantified by qPCR. Fasting plasma lipids were quantified by untargeted liquid chromatography-mass spectrometry. Lipids associated with LTL were identified by elastic net modeling. Of 1542 molecular lipids identified (518 known, 1024 unknown), 174 lipids (36 knowns) were significantly associated with LTL, independent of chronological age, sex, BMI, hypertension, diabetes status, smoking status, bulk HDL-C, and LDL-C. These findings suggest that altered lipid metabolism is associated with biological aging and provide novel insights that may enhance our understanding of the relationship between dyslipidemia, biological aging, and age-related diseases in American Indians.

Keywords: American Indians; Biological aging; Biomarkers; Lipidomics; Strong Heart Study; Telomere length.

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Conflict of interest statement

The authors declare no competing interests.

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Fig. 1
Schematic illustration of study design
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