ArticleBiomarker research2024
Serum metabolite signatures of cardiac function and morphology in individuals from a population-based cohort.
Article in Biomarker research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 2 citations in OpenAlex.
- Longitudinal lipidomic markers of cardiac aging and risk of coronary heart disease in American Indians: the Strong Heart Family Study.GeroScience · 2026Article
- Serum metabolite patterns of adipose tissue distribution and body composition subphenotypes.Lipids in health and disease · 2026Article
- Metabolomic Markers of Left Ventricular Structure, Diastolic Function, and Risk of Coronary Heart Disease: A Longitudinal Study in American Indian Individuals.Journal of the American Heart Association · 2026Article
- Research progress on metabolic abnormalities in myocardial hypertrophy.Frontiers in cardiovascular medicine · 2026Review
- Serum metabolites characterize hepatic phenotypes and reveal shared pathways: results from population-based imaging.Molecular medicine (Cambridge, Mass.) · 2025Article
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Authors and funding
11 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChanges in serum metabolites in individuals with altered cardiac function and morphology may exhibit information about cardiovascular disease (CVD) pathway dysregulations and potential CVD risk factors. We aimed to explore associations of cardiac function and morphology, evaluated using magnetic resonance imaging (MRI) with a large panel of serum metabolites.
methodsCross-sectional data from CVD-free individuals from the population-based KORA cohort were analyzed. Associations between 3T-MRI-derived left ventricular (LV) function and morphology parameters (e.g., volumes, filling rates, wall thickness) and markers of carotid plaque with metabolite profile clusters and single metabolites as outcomes were assessed by adjusted multinomial logistic regression and linear regression models.
resultsIn 360 individuals (mean age 56.3 years; 41.9% female), 146 serum metabolites clustered into three distinct profiles that reflected high-, intermediate- and low-CVD risk. Higher stroke volume (relative risk ratio (RRR): 0.53, 95%-CI [0.37; 0.76], p-value < 0.001) and early diastolic filling rate (RRR: 0.51, 95%-CI [0.37; 0.71], p-value < 0.001) were most strongly protectively associated against the high-risk profile compared to the low-risk profile after adjusting for traditional CVD risk factors. Moreover, imaging markers were associated with 10 metabolites in linear regression. Notably, negative associations of stroke volume and early diastolic filling rate with acylcarnitine C5, and positive association of function parameters with lysophosphatidylcholines, diacylphosphatidylcholines, and acylalkylphosphatidylcholines were observed. Furthermore, there was a negative association of LV wall thickness with alanine, creatinine, and symmetric dimethylarginine. We found no significant associations with carotid plaque.
conclusionsSerum metabolite signatures are associated with cardiac function and morphology even in individuals without a clinical indication of CVD.
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