Imperial College London
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ProfessorJamilMayet

Faculty of Medicine, National Heart & Lung Institute

Professor of Cardiology
 
 
 
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Contact

 

+44 (0)20 7594 1006j.mayet

 
 
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Assistant

 

Miss Juliet Holmes +44 (0)20 7594 5735

 
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Location

 

NHLI offices,Sir Michael Uren HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Brown:2015:10.1002/prca.201400195,
author = {Brown, CE and McCarthy, NS and Hughes, AD and Sever, P and Stalmach, A and Mullen, W and Dominiczak, AF and Sattar, N and Mischak, H and Thom, S and Mayet, J and Stanton, AV and Delles, C},
doi = {10.1002/prca.201400195},
journal = {Proteomics Clinical Applications},
pages = {610--617},
title = {Urinary proteomic biomarkers to predict cardiovascular events},
url = {http://dx.doi.org/10.1002/prca.201400195},
volume = {9},
year = {2015}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - PurposeWe 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 designThirty-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.ResultsSixty 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 relevanceA urinary proteome panel originally developed in a cross-sectional study predicts CAD endpoints independent of age and sex in a well-controlled prospective study.
AU  - Brown,CE
AU  - McCarthy,NS
AU  - Hughes,AD
AU  - Sever,P
AU  - Stalmach,A
AU  - Mullen,W
AU  - Dominiczak,AF
AU  - Sattar,N
AU  - Mischak,H
AU  - Thom,S
AU  - Mayet,J
AU  - Stanton,AV
AU  - Delles,C
DO  - 10.1002/prca.201400195
EP  - 617
PY  - 2015///
SN  - 1862-8354
SP  - 610
TI  - Urinary proteomic biomarkers to predict cardiovascular events
T2  - Proteomics Clinical Applications
UR  - http://dx.doi.org/10.1002/prca.201400195
UR  - http://hdl.handle.net/10044/1/30523
VL  - 9
ER  -
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