{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T15:19:21Z","timestamp":1776352761726,"version":"3.51.2"},"reference-count":93,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"18","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2025,9,16]]},"abstract":"<jats:sec xml:lang=\"en\">\n            <jats:title>Background<\/jats:title>\n            <jats:p xml:lang=\"en\">We sought to investigate the association between circulating inflammatory and cardiovascular proteomics biomarkers and cardiac autonomic nervous dysfunction\u2013sensitive heart rate variability indices.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Methods<\/jats:title>\n            <jats:p xml:lang=\"en\">Using the population\u2010based 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 (R\u00e9nyi entropy of the histogram with order [\u03b1] 4, total power of the density spectra, SD of word sequence, SD of the short\u2010term normal\u2010to\u2010normal interval variability, compression entropy) were assessed at baseline in 982 individuals and in 407 individuals at baseline and at 14\u2010year follow\u2010up. Three unbiased multivariable selection models followed by linear or linear mixed\u2010effects models with multiple testing correction were used to determine the association between proteomics biomarkers and heart rate variability indices.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Results<\/jats:title>\n            <jats:p xml:lang=\"en\">C\u2010C motif chemokine 23 was positively associated, while peptidoglycan recognition protein nd fibroblast growth factor 21 were negatively associated with R\u00e9nyi entropy of the histogram with order (\u03b1) 4 cross\u2010sectionally. Tumor necrosis factor\u2013related activation\u2010induced cytokine and growth\/differentiation factor 15 were negatively associated with compression entropy cross\u2010sectionally. Over time, interleukin\u20106 receptor subunit \u03b1 and macrophage colony\u2010stimulating factor were positively and negatively associated with total power of the density spectra, respectively. Additionally, myoglobin and agouti\u2010related protein were positively and negatively associated with SD of the short\u2010term normal\u2010to\u2010normal interval variability, respectively. Gastrotropin and agouti\u2010related protein were positively and negatively associated with compression entropy, respectively.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p xml:lang=\"en\">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.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/jaha.125.042144","type":"journal-article","created":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T04:40:26Z","timestamp":1757133626000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":2,"title":["Association of Inflammatory and Cardiovascular Proteomics Biomarkers With Indices of Heart Rate Variability in the General Population: KORA S4\/FF4 Study"],"prefix":"10.1161","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9454-5970","authenticated-orcid":false,"given":"Kolade","family":"Oluwagbemigun","sequence":"first","affiliation":[{"name":"Leibniz Center for Diabetes Research at Heinrich Heine University D\u00fcsseldorf","place":["D\u00fcsseldorf, Germany"]},{"name":"Partner D\u00fcsseldorf, 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