Longitudinal and cross-sectional associations of myocardial stress markers with kidney function and chronic kidney disease in the BiomarCaRE projectCentre for Public Health, Queen’s University Belfast, Northern Ireland, Belfast, United Kingdom.
Department of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy; Department of Medicine and Surgery, LUM University, Casamassima, Italy.
Cardiovascular Epidemiology Unit, Institute of Cardiovascular Research, University of Dundee, Dundee, United Kingdom.
Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Department of Cardiovascular, Endocrine-Metabolic Diseases and Aging, Istituto Superiore Di Sanità-ISS, Rome, Italy.
Department of Public Health, Finnish Institute for Health and Welfare (THL), Helsinki, Finland; Department of Internal Medicine, University of Turku, Turku, Finland.
Umeå universitet, Medicinska fakulteten, Institutionen för folkhälsa och klinisk medicin.
Research Center in Epidemiology and Preventive Medicine (EPIMED), Department of Medicine and Surgery, University of Insubria, Varese, Italy.
Department of Cardiovascular, Endocrine-Metabolic Diseases and Aging, Istituto Superiore Di Sanità-ISS, Rome, Italy.
German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany; Center for Population Health Innovation (POINT), University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Department of Public Health, Finnish Institute for Health and Welfare (THL), Helsinki, Finland.
German Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany; Center for Population Health Innovation (POINT), University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Pettenkofer School of Public Health, Munich, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany; German Center for Diabetes Research (DZD), Partner München-Neuherberg, Neuherberg, Germany.
Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Pettenkofer School of Public Health, Munich, Germany; German Center for Diabetes Research (DZD), Partner München-Neuherberg, Neuherberg, Germany.
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2026 (Engelska)Ingår i: Scientific Reports, E-ISSN 2045-2322, Vol. 16, nr 1, artikel-id 7488
Artikel i tidskrift (Refereegranskat) Published
Abstract [en]
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.
Ort, förlag, år, upplaga, sidor
2026. Vol. 16, nr 1, artikel-id 7488
Nyckelord [en]
Chronic kidney disease, Kidney function, MR-proADM, MR-proANP, NT-p, roBNP
Nationell ämneskategori
Kardiologi och kardiovaskulära sjukdomar
Identifikatorer
URN: urn:nbn:se:umu:diva-250763DOI: 10.1038/s41598-026-37377-2ISI: 001698271600001PubMedID: 41724744Scopus ID: 2-s2.0-105030945406OAI: oai:DiVA.org:umu-250763DiVA, id: diva2:2045479
2026-03-122026-03-122026-03-12Bibliografiskt granskad