Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques

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...

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Veröffentlicht in:The Journal of clinical investigation 2017-04, Vol.127 (4), p.1546-1560
Hauptverfasser: Langley, Sarah R, Willeit, Karin, Didangelos, Athanasios, Matic, Ljubica Perisic, Skroblin, Philipp, Barallobre-Barreiro, Javier, Lengquist, Mariette, Rungger, Gregor, Kapustin, Alexander, Kedenko, Ludmilla, Molenaar, Chris, Lu, Ruifang, Barwari, Temo, Suna, Gonca, Yin, Xiaoke, Iglseder, Bernhard, Paulweber, Bernhard, Willeit, Peter, Shalhoub, Joseph, Pasterkamp, Gerard, Davies, Alun H, Monaco, Claudia, Hedin, Ulf, Shanahan, Catherine M, Willeit, Johann, Kiechl, Stefan, Mayr, Manuel
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Sprache:eng
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Zusammenfassung: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. 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. 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. 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. 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.
ISSN:0021-9738
1558-8238
DOI:10.1172/JCI86924