ORCID: https://orcid.org/0000-0002-9454-5970; Ziegler, Dan
ORCID: https://orcid.org/0000-0001-8956-3552; Strom, Alexander
ORCID: https://orcid.org/0000-0001-9896-1106; Heier, Margit; Bönhof, Gidon
ORCID: https://orcid.org/0000-0003-1446-6592; Roden, Michael
ORCID: https://orcid.org/0000-0001-8200-6382; Rathmann, Wolfgang
ORCID: https://orcid.org/0000-0001-7804-1740; Meisinger, Christa; Peters, Annette
ORCID: https://orcid.org/0000-0001-6645-0985; Hauck, Stefanie M.
ORCID: https://orcid.org/0000-0001-8824-3581; Petrera, Agnese
ORCID: https://orcid.org/0000-0002-0583-6195; Sinner, Moritz F.
ORCID: https://orcid.org/0000-0002-6660-796X; Kääb, Stefan
ORCID: https://orcid.org/0000-0001-8824-3581; Thorand, Barbara
ORCID: https://orcid.org/0000-0002-8416-6440 und Herder, Christian
ORCID: https://orcid.org/0000-0002-2050-093X
(2025):
Association of Inflammatory and Cardiovascular Proteomics Biomarkers With Indices of Heart Rate Variability in the General Population: KORA S4/FF4 Study.
In: Journal of the American Heart Association, Bd. 14, Nr. 18
[PDF, 1MB]
Abstract
Background: We sought to investigate the association between circulating inflammatory and cardiovascular proteomics biomarkers and cardiac autonomic nervous dysfunction-sensitive heart rate variability indices.
Methods: Using the population-based KORA (Cooperative Health Research in the Region of Augsburg) cohort, 233 proteomics biomarkers were quantified in baseline plasma samples of 1389 individuals using proximity extension assay technology. Five heart rate variability indices (Rényi entropy of the histogram with order [α] 4, total power of the density spectra, SD of word sequence, SD of the short-term normal-to-normal interval variability, compression entropy) were assessed at baseline in 982 individuals and in 407 individuals at baseline and at 14-year follow-up. Three unbiased multivariable selection models followed by linear or linear mixed-effects models with multiple testing correction were used to determine the association between proteomics biomarkers and heart rate variability indices.
Results: C-C motif chemokine 23 was positively associated, while peptidoglycan recognition protein nd fibroblast growth factor 21 were negatively associated with Rényi entropy of the histogram with order (α) 4 cross-sectionally. Tumor necrosis factor-related activation-induced cytokine and growth/differentiation factor 15 were negatively associated with compression entropy cross-sectionally. Over time, interleukin-6 receptor subunit α and macrophage colony-stimulating factor were positively and negatively associated with total power of the density spectra, respectively. Additionally, myoglobin and agouti-related protein were positively and negatively associated with SD of the short-term normal-to-normal interval variability, respectively. Gastrotropin and agouti-related protein were positively and negatively associated with compression entropy, respectively.
Conclusions: This study identified novel circulating proteins associated with heart rate variability indices. These proteins could improve our understanding of the pathophysiology underlying cardiac autonomic nervous dysfunction.
| Dokumententyp: | Zeitschriftenartikel |
|---|---|
| Fakultät: | Medizin > Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie
Medizin > Klinikum der LMU München > Medizinische Klinik und Poliklinik I (Kardiologie) |
| Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
| URN: | urn:nbn:de:bvb:19-epub-131209-7 |
| ISSN: | 2047-9980 |
| Sprache: | Englisch |
| Dokumenten ID: | 131209 |
| Datum der Veröffentlichung auf Open Access LMU: | 21. Jan. 2026 11:49 |
| Letzte Änderungen: | 21. Jan. 2026 11:49 |
