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.
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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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