Urinary proteomic biomarkers to predict cardiovascular events. Issue 5 (15th May 2015)

• Record Type: Journal Article
• Authors: Brown, Catriona E.; McCarthy, Nina S.; Hughes, Alun D.; Sever, Peter; Stalmach, Angelique; Mullen, William; Dominiczak, Anna F.; Sattar, Naveed; Mischak, Harald; Thom, Simon; Mayet, Jamil; Stanton, Alice V.; Delles, Christian; Capelo Martínez, José Luis; Lodeiro, Carlos; Santos, Hugo M.
• Is Part Of: Proteomics. Volume 9:Issue 5/6(2015)
• Page Start: 610
• Page End: 617
• Publication Date: 2015-05-15
• Subjects: Proteomics -- Periodicals; 572.605
• DOI: 10.1002/prca.201400195
• Languages: English
• ISSNs: 1862-8346

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="prca1665-sec-0010" sec-type="section"> <title>Purpose</title> <p>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.</p> </sec> <sec id="prca1665-sec-0020" sec-type="section"> <title>Experimental design</title> <p>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 (CAD<sub>238</sub>) was assessed for its predictive potential.</p> </sec> <sec id="prca1665-sec-0030" sec-type="section"> <title>Results</title> <p>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, <italic>p</italic> = 0.170), and the CAD model showed statistical significance on Kaplan–Meier survival analysis <italic>p</italic> = 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 CAD<sub>238</sub>.</p> </sec> <sec id="prca1665-sec-0040" sec-type="section"> <title>Conclusion and clinical relevance</title> <p>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.</p> </sec> </abstract>