Impact of Kidney Function on the Blood Proteome and on Protein Cardiovascular Risk Biomarkers in Patients With Stable Coronary Heart Disease
| Autor: | Joseph Yang, Sophie Weiss, Edward N. Brody, Stephen A. Williams, Ashwin C. Murthy, Robert Kirk DeLisle, Robert Mehler, Rachel Ostroff, Peter Ganz |
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| Rok vydání: | 2020 |
| Předmět: |
Male
Proteome Renal function Coronary Disease 030204 cardiovascular system & hematology Proteomics Bioinformatics Cohort Studies outcomes research 03 medical and health sciences 0302 clinical medicine medicine Humans In patient 030212 general & internal medicine Renal Insufficiency Chronic Aged Original Research business.industry Editorials Middle Aged medicine.disease Coronary heart disease Editorial Heart Disease Risk Factors Female Cardiology and Cardiovascular Medicine business Biomarkers chronic kidney disease coronary artery disease Kidney disease Glomerular Filtration Rate |
| Zdroj: | Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease |
| ISSN: | 2047-9980 |
| Popis: | Background Chronic kidney disease ( CKD ) confers increased cardiovascular risk, not fully explained by traditional factors. Proteins regulate biological processes and inform the risk of diseases. Thus, in 938 patients with stable coronary heart disease from the Heart and Soul cohort, we quantified 1054 plasma proteins using modified aptamers ( SOMA scan) to: (1) discern how reduced glomerular filtration influences the circulating proteome, (2) learn of the importance of kidney function to the prognostic information contained in recently identified protein cardiovascular risk biomarkers, and (3) identify novel and even unique cardiovascular risk biomarkers among individuals with CKD . Methods and Results Plasma protein levels were correlated to estimated glomerular filtration rate (eGFR) using Spearman‐rank correlation coefficients. Cox proportional hazard models were used to estimate the association between individual protein levels and the risk of the cardiovascular outcome (first among myocardial infarction, stroke, heart failure hospitalization, or mortality). Seven hundred and nine (67.3%) plasma proteins correlated with eGFR at P eGFR moderately or strongly (ρ 0.2–0.74). Among the previously identified 196 protein cardiovascular biomarkers, just 87 remained prognostic after correction for eGFR . Among patients with CKD ( eGFR 2 ), we identified 21 protein cardiovascular risk biomarkers of which 8 are unique to CKD. Conclusions CKD broadly alters the composition of the circulating proteome. We describe protein biomarkers capable of predicting cardiovascular risk independently of glomerular filtration, and those that are prognostic of cardiovascular risk specifically in patients with CKD and even unique to patients with CKD . |
| Databáze: | OpenAIRE |
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