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Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Impact of Kidney Function on the Blood Proteome and on Protein Cardiovascular Risk Biomarkers in Patients With Stable
Joseph Yang1,2, Edward N Brody3, Ashwin C Murthy3
1Division of Cardiology Department of Medicine University of California, San Francisco CA.
Insights
Chronic kidney disease (CKD) significantly alters blood proteins, impacting cardiovascular risk. New protein biomarkers predict cardiovascular events in CKD patients, some unique to this population.
Area of Science:
- Proteomics
- Nephrology
- Cardiology
Background:
- Chronic kidney disease (CKD) is a significant risk factor for cardiovascular disease (CVD), beyond traditional risk factors.
- Plasma proteins play crucial roles in biological processes and disease risk stratification.
- Understanding the proteomic changes in CKD is vital for improving cardiovascular risk prediction.
Purpose of the Study:
- To investigate how reduced kidney function (glomerular filtration) affects the circulating proteome.
- To assess the prognostic value of known protein biomarkers for cardiovascular risk in the context of kidney function.
- To identify novel and CKD-specific protein biomarkers for cardiovascular risk.
Main Methods:
- Quantified 1054 plasma proteins in 938 stable coronary heart disease patients using SOMAscan.
- Correlated plasma protein levels with estimated glomerular filtration rate (eGFR).
- Employed Cox proportional hazard models to assess protein-outcome associations and cardiovascular risk.
Main Results:
- A majority of plasma proteins (67.3%) showed correlation with eGFR; 20.7% demonstrated moderate to strong correlation.
- Of 196 previously identified protein biomarkers, only 87 retained prognostic significance after adjusting for eGFR.
- Identified 21 protein biomarkers for cardiovascular risk in CKD patients, with 8 being unique to this group.
Conclusions:
- Chronic kidney disease profoundly impacts the circulating proteome.
- Protein biomarkers can predict cardiovascular risk independently of kidney function.
- Specific protein biomarkers offer prognostic value for cardiovascular risk uniquely in CKD patients.
Abstract:
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 (SOMAscan) 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<0.05 (ρ 0.06-0.74); 218 (20.7%) proteins correlated with 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 <60 mL/min per 1.73 m2), 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.
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