Longitudinal lipidomic markers of cardiac aging and risk of coronary heart disease in American Indians: the Strong Heart Family Study

Age-related decline in left ventricular (LV) diastolic function is a hallmark of cardiac aging and an early precursor to cardiovascular disease. While dyslipidemia is a known driver of coronary heart disease (CHD), the molecular pathways linking lipid metabolism to cardiac aging and subsequent CHD risk remain poorly understood. Furthermore, longitudinal lipidomic profiling of cardiac aging in large human populations has not been systematically conducted. Using an untargeted LC-MS, we repeatedly measured 1542 fasting plasma lipid species in 1801 American Indians across two clinical exams in the Strong Heart Family Study (SHFS) (mean age at baseline: 40.0 years; mean interval: 5.5 years apart). We examined longitudinal associations between individual lipid species and measures of cardiac aging (E/A ratio, isovolumic relaxation time, and deceleration time) using generalized estimation equation (GEE), adjusted for demographic, lifestyle, and clinical factors. Significant associations were then replicated in the Bogalusa Heart Study (BHS) (mean age at baseline: 48.1 years). Frailty Cox proportional hazards models were used to examine whether cardiac aging-related lipids predicted incident CHD over a 20-year follow-up. We found that multiple lipid species, primarily glycerophospholipids, glycerolipids, and sphingomyelins, were associated with measures of cardiac aging, with the majority showing inverse associations. Some of these associations were confirmed in a biracial cohort of African American and White participants. Additionally, baseline levels of specific glycerophospholipids and fatty acids associated with diastolic function (E/A ratio and deceleration time) were linked to a reduced risk of CHD (HR range: 0.21-0.86). Conversely, other E/A-associated glycerophospholipids were linked to increased CHD risk (HR range: 1.24-1.34). In summary, we identified distinct lipidomic signatures associated with trajectories of subclinical cardiac aging, several of which also predict later-life CHD risk. These findings highlight molecular correlates of cardiac aging from midlife into older adulthood and suggest that lipidomic pathways may serve as early biomarkers for future: Keywords are required, The following are suggested: "Cardiac aging, Risk, Lipidomic markers". Please check if correct. CHD.

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Journal
GeroScience
Published
2026-07-02
DOI
https://doi.org/10.1007/s11357-026-02268-x
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Longitudinal lipidomic markers of cardiac aging and risk of coronary heart disease in American Indians: the Strong Heart Family Study

Guanhong Miao, Ying Zhang, Mary J. Roman, Jinying Zhao et al.
GeroScience
Metabolomics and Mass Spectrometry Studies
article

Longitudinal lipidomic markers of cardiac aging and risk of coronary heart disease in American Indians: the Strong Heart Family Study

Guanhong Miao, Ying Zhang, Mary J. Roman, Jinying Zhao, Jason G. Umans, Shelley A. Cole, Oliver Fiehn, Richard R. Fabsitz, Camilo Fernandez, Lydia A. Bazzano, Yixi Sun, Alexander C. Razavi, Mingjing Chen, Tanika N. Kelly, Xiaoxiao Wen, Richard B. Devereux
article en

Abstract

Age-related decline in left ventricular (LV) diastolic function is a hallmark of cardiac aging and an early precursor to cardiovascular disease. While dyslipidemia is a known driver of coronary heart disease (CHD), the molecular pathways linking lipid metabolism to cardiac aging and subsequent CHD risk remain poorly understood. Furthermore, longitudinal lipidomic profiling of cardiac aging in large human populations has not been systematically conducted. Using an untargeted LC-MS, we repeatedly measured 1542 fasting plasma lipid species in 1801 American Indians across two clinical exams in the Strong Heart Family Study (SHFS) (mean age at baseline: 40.0 years; mean interval: 5.5 years apart). We examined longitudinal associations between individual lipid species and measures of cardiac aging (E/A ratio, isovolumic relaxation time, and deceleration time) using generalized estimation equation (GEE), adjusted for demographic, lifestyle, and clinical factors. Significant associations were then replicated in the Bogalusa Heart Study (BHS) (mean age at baseline: 48.1 years). Frailty Cox proportional hazards models were used to examine whether cardiac aging-related lipids predicted incident CHD over a 20-year follow-up. We found that multiple lipid species, primarily glycerophospholipids, glycerolipids, and sphingomyelins, were associated with measures of cardiac aging, with the majority showing inverse associations. Some of these associations were confirmed in a biracial cohort of African American and White participants. Additionally, baseline levels of specific glycerophospholipids and fatty acids associated with diastolic function (E/A ratio and deceleration time) were linked to a reduced risk of CHD (HR range: 0.21-0.86). Conversely, other E/A-associated glycerophospholipids were linked to increased CHD risk (HR range: 1.24-1.34). In summary, we identified distinct lipidomic signatures associated with trajectories of subclinical cardiac aging, several of which also predict later-life CHD risk. These findings highlight molecular correlates of cardiac aging from midlife into older adulthood and suggest that lipidomic pathways may serve as early biomarkers for future: Keywords are required, The following are suggested: "Cardiac aging, Risk, Lipidomic markers". Please check if correct. CHD.

GeroScience
Tulane University (US), Texas Biomedical Research Institute (US), Johns Hopkins University (US), Emory University (US), Illinois College (US), Cornell University (US), University of South Florida (US), University of Illinois Chicago (US), Georgetown-Howard Universities Center for Clinical and Translational Science (US), Missouri Breaks Industries Research (United States) (US), University of Oklahoma Health Sciences Center (US), University of California, Davis (US), MedStar Health (US)
Strong, National Institutes of Health
Good health and well-being
Openalex Percentile: Top 13%
Metabolomics and Mass Spectrometry Studies
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