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Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques

Authors :
Ruifang Lu
Philipp Skroblin
Gerard Pasterkamp
Sarah R. Langley
Catherine M. Shanahan
Peter Willeit
Mariette Lengquist
Chris Molenaar
Joseph Shalhoub
Manuel Mayr
Alexander N. Kapustin
Ljubica Perisic Matic
Karin Willeit
Ulf Hedin
Claudia Monaco
Johann Willeit
Athanasios Didangelos
Bernhard Iglseder
Temo Barwari
Stefan Kiechl
Xiaoke Yin
Bernhard Paulweber
Javier Barallobre-Barreiro
Alun H. Davies
Ludmilla Kedenko
Gonca Suna
Gregor Rungger
Imperial College Trust
Graham-Dixon Charitable Trust
The Circulation Foundation
Source :
The Journal of Clinical Investigation, Journal of Clinical Investigation, 127(4), 1546. The American Society for Clinical Investigation, Langley, S R, Willeit, K, Didangelos, A, Matic, L P, Skroblin, P, Barallobre-barreiro, J, Lengquist, M, Rungger, G, Kapustin, A, Kedenko, L, Molenaar, C, Lu, R, Barwari, T, Suna, G, Yin, X, Iglseder, B, Paulweber, B, Willeit, P, Shalhoub, J, Pasterkamp, G, Davies, A H, Monaco, C, Hedin, U, Shanahan, C M, Willeit, J, Kiechl, S & Mayr, M 2017, ' Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques ', Journal of Clinical Investigation, vol. 127, no. 4, pp. 1546-1560 . https://doi.org/10.1172/JCI86924
Publication Year :
2017
Publisher :
American Society for Clinical Investigation, 2017.

Abstract

Background The identification of patients with high-risk atherosclerotic plaques prior to the manifestation of clinical events remains challenging. Recent findings question histology- and imaging-based definitions of the "vulnerable plaque," necessitating an improved approach for predicting onset of symptoms. Methods We performed a proteomics comparison of the vascular extracellular matrix and associated molecules in human carotid endarterectomy specimens from 6 symptomatic versus 6 asymptomatic patients to identify a protein signature for high-risk atherosclerotic plaques. Proteomics data were integrated with gene expression profiling of 121 carotid endarterectomies and an analysis of protein secretion by lipid-loaded human vascular smooth muscle cells. Finally, epidemiological validation of candidate biomarkers was performed in two community-based studies. Results Proteomics and at least one of the other two approaches identified a molecular signature of plaques from symptomatic patients that comprised matrix metalloproteinase 9, chitinase 3-like-1, S100 calcium binding protein A8 (S100A8), S100A9, cathepsin B, fibronectin, and galectin-3-binding protein. Biomarker candidates measured in 685 subjects in the Bruneck study were associated with progression to advanced atherosclerosis and incidence of cardiovascular disease over a 10-year follow-up period. A 4-biomarker signature (matrix metalloproteinase 9, S100A8/S100A9, cathepsin D, and galectin-3-binding protein) improved risk prediction and was successfully replicated in an independent cohort, the SAPHIR study. Conclusion The identified 4-biomarker signature may improve risk prediction and diagnostics for the management of cardiovascular disease. Further, our study highlights the strength of tissue-based proteomics for biomarker discovery. Funding UK: British Heart Foundation (BHF); King's BHF Center; and the National Institute for Health Research Biomedical Research Center based at Guy's and St Thomas' NHS Foundation Trust and King's College London in partnership with King's College Hospital. Austria: Federal Ministry for Transport, Innovation and Technology (BMVIT); Federal Ministry of Science, Research and Economy (BMWFW); Wirtschaftsagentur Wien; and Standortagentur Tirol.

Details

ISSN :
15588238 and 00219738
Volume :
127
Database :
OpenAIRE
Journal :
Journal of Clinical Investigation
Accession number :
edsair.doi.dedup.....06bd6507360d0b7346be45c1a632f84c