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 language | English |
|---|---|
| Article number | 7488 |
| Journal | Scientific Reports |
| Volume | 16 |
| Issue number | 1 |
| ISSN | 2045-2322 |
| Publication status | Published - 23.02.2026 |
Funding
| Funders | Funder 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 2020 | 825903 |
| AFFECT-EU | 847770 |
| Seventh Framework Programme | HEALTH-F4-2007–201413 |
| CHANCES | HEALTH-F3-2010–242244, HEALTH-F2-2011–278913 |
| European Commission | QLG2-CT-2002–01254, BMH4-CT98-3183 |
| Medical Research Council | 80983, G0601463 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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