Serum metabolite signatures of cardiac function and morphology in individuals from a population-based cohort

• Main Authors: Juliane Maushagen (Author), Nuha Shugaa Addin (Author), Christopher Schuppert (Author), Cavin K. Ward-Caviness (Author), Johanna Nattenmüller (Author), Jerzy Adamski (Author), Annette Peters (Author), Fabian Bamberg (Author), Christopher L. Schlett (Author), Rui Wang-Sattler (Author), Susanne Rospleszcz (Author)
• Format: Book
• Published: BMC, 2024-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 10.1186/s40364-024-00578-w; 2050-7771
• Keywords: Metabolites; Imaging; Cardiac function; Cardiac morphology; Left ventricle; Cardiovascular disease; Therapeutics. Pharmacology; RM1-950
• Source: Biomarker Research, Vol 12, Iss 1, Pp 1-14 (2024)

Abstract Background Changes 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. Methods Cross-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. Results In 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. Conclusions Serum metabolite signatures are associated with cardiac function and morphology even in individuals without a clinical indication of CVD.