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Urinary proteomic biomarkers to predict cardiovascular events

Brown, CE; McCarthy, NS; Hughes, AD; Sever, P; Stalmach, A; Mullen, W; Dominiczak, AF; ... Delles, C; + view all (2015) Urinary proteomic biomarkers to predict cardiovascular events. Proteomics Clinical Applications , 9 (5-6) pp. 610-617. 10.1002/prca.201400195. Green open access

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Abstract

PURPOSE: We have previously demonstrated associations between the urinary proteome profile and coronary artery disease (CAD) in cross-sectional studies. Here, we evaluate the potential of a urinary proteomic panel as a predictor of CAD in the hypertensive atherosclerotic cardiovascular disease (HACVD) substudy population of the Anglo-Scandinavian Cardiac Outcomes Trial study. EXPERIMENTAL DESIGN: Thirty-seven cases with primary CAD endpoint were matched for sex and age to controls who had not reached a CAD endpoint during the study. Spot urine samples were analyzed using CE coupled to Micro-TOF MS. A previously developed 238-marker CE-MS model for diagnosis of CAD (CAD238 ) was assessed for its predictive potential. RESULTS: Sixty urine samples (32 cases; 28 controls; 88% male, mean age 64 ± 5 years) were analyzed. There was a trend toward healthier values in controls for the CAD model classifier (-0.432 ± 0.326 versus -0.587 ± 0.297, p = 0.170), and the CAD model showed statistical significance on Kaplan-Meier survival analysis p = 0.021. We found 190 individual markers out of 1501 urinary peptides that separated cases and controls (AUC >0.6). Of these, 25 peptides were also components of CAD238 . CONCLUSION AND CLINICAL RELEVANCE: A urinary proteome panel originally developed in a cross-sectional study predicts CAD endpoints independent of age and sex in a well-controlled prospective study.

Type: Article
Title: Urinary proteomic biomarkers to predict cardiovascular events
Location: Germany
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/prca.201400195
Publisher version: https://doi.org/10.1002/prca.201400195
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Biomarker, Cardiovascular risk, Urinary proteomics, Aged, Atherosclerosis, Biomarkers, Case-Control Studies, Coronary Artery Disease, Cross-Sectional Studies, Female, Humans, Hypertension, Kaplan-Meier Estimate, Male, Middle Aged, Peptide Fragments, Prospective Studies, Proteome, Proteomics
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine
URI: https://discovery.ucl.ac.uk/id/eprint/10097584
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