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1000 Titel
  • Serum metabolite signatures of cardiac function and morphology in individuals from a population-based cohort
1000 Autor/in
  1. Maushagen, Juliane |
  2. Shugaa Addin, Nuha |
  3. Schuppert, Christopher |
  4. Ward-Caviness, Cavin |
  5. Nattenmueller, Johanna |
  6. Adamski, Jerzy |
  7. Peters, Annette |
  8. Bamberg, Fabian |
  9. Schlett, Christopher |
  10. Wang-Sattler, Rui |
  11. Rospleszcz, Susanne |
1000 Verlag
  • BioMed Central
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-03-05
1000 Erschienen in
1000 Quellenangabe
  • 12(1):31
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s40364-024-00578-w |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10916302/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>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.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>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.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>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 &lt; 0.001) and early diastolic filling rate (RRR: 0.51, 95%-CI [0.37; 0.71], p-value &lt; 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.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>Serum metabolite signatures are associated with cardiac function and morphology even in individuals without a clinical indication of CVD.</jats:p> </jats:sec>
1000 Liste der Beteiligten
  1. https://orcid.org/0009-0007-1224-1628|https://orcid.org/0000-0002-1499-9885|https://orcid.org/0000-0002-9675-803X|https://orcid.org/0000-0002-6322-4349|https://orcid.org/0000-0003-4032-378X|https://orcid.org/0000-0001-9259-0199|https://orcid.org/0000-0001-6645-0985|https://orcid.org/0000-0002-7460-3942|https://orcid.org/0000-0002-1576-1481|https://orcid.org/0000-0002-8794-8229|https://orcid.org/0000-0002-4788-2341
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