Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques

SR Langley, K Willeit, A Didangelos… - The Journal of …, 2017 - Am Soc Clin Investig
SR Langley, K Willeit, A Didangelos, LP Matic, P Skroblin, J Barallobre-Barreiro
The Journal of clinical investigation, 2017Am Soc Clin Investig
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 …
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.
The Journal of Clinical Investigation