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Longitudinal and cross-sectional associations of myocardial stress markers with kidney function and chronic kidney disease in the BiomarCaRE project

Jie-Sheng Lin, Tanja Zeller, Wolfgang Koenig, Pekka Jousilahti, Frank Kee, Licia Iacoviello, Hugh Tunstall-Pedoe, Stefan Söderberg, Giancarlo Cesana, Luigi Palmieri, Veikko Salomaa, Julia de Man Lapidoth, Roberto De Ponti, Chiara Donfrancesco, Thiess Lorenz, Kari Kuulasmaa, Stefan Blankenberg, Annette Peters, Barbara Thorand

Abstract

Given the complex relationship between cardiovascular disease (CVD) and chronic kidney disease (CKD), CVD-related markers may serve as CKD biomarkers. We examined associations of three major CVD-markers [mid-regional pro-adrenomedullin (MR-proADM), MR-pro-atrial natriuretic peptide (MR-proANP), and N-terminal pro-B-type natriuretic peptide (NT-proBNP)] with CKD. Cross-sectional analyses included up to 61,830 participants, and longitudinal analyses (NT-proBNP only) 4205 individuals. Kidney function was assessed by estimated glomerular filtration rate (eGFR) using creatinine, cystatin C, or both (eGFRcr-cys). Markers were categorized into four groups. Cross-sectional analyses found that higher levels of all three markers were consistently associated with lower eGFR and higher CKD prevalence. For example, per 1 standard deviation (SD) increase in log-transformed NT-proBNP, corresponding to a 2.71-fold increase in the original concentration, was associated with -2.35 (-2.49, -2.21) ml/min/1.73m2 lower eGFRcr-cys, and the highest NT-proBNP group had a 5.72-fold higher odds of CKDcr-cys (eGFRcr-cys < 60 ml/min/1.73m2) compared with the lowest. Associations with eGFR were stronger among participants with CVD and diabetes. In longitudinal analyses, participants with higher baseline NT-proBNP had faster declines in eGFR, with a 10-year decline of -1.37 (-1.77, -0.98) ml/min/1.73m2 eGFRcr-cys per 1 SD increase, and higher CKD incidence. These findings suggest MR-proADM, MR-proANP, and NT-proBNP as CKD biomarkers.

Original languageEnglish
Article number7488
JournalScientific Reports
Volume16
Issue number1
ISSN2045-2322
Publication statusPublished - 23.02.2026

Funding

FundersFunder number
Bundesministerium für Forschung, Technologie und Raumfahrt
ENGAGE
Deutsches Forschungszentrum für Gesundheit und Umwelt, Helmholtz Zentrum München
MORGAM Laboratories
Umeå Universitet
Hjärt-Lungfonden
Vetenskapsrådet
Horizon 2020825903
AFFECT-EU847770
Seventh Framework ProgrammeHEALTH-F4-2007–201413
CHANCESHEALTH-F3-2010–242244, HEALTH-F2-2011–278913
European CommissionQLG2-CT-2002–01254, BMH4-CT98-3183
Medical Research Council80983, G0601463

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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