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Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques
- 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.
- Subjects :
- Carotid Artery Diseases
Male
Proteomics
0301 basic medicine
Pathology
Proteome
SMOOTH-MUSCLE-CELLS
medicine.medical_treatment
Carotid endarterectomy
Disease
Research & Experimental Medicine
medicine.disease_cause
INCREASED EXPRESSION
Epidemiology
ARTERY-DISEASE
Biomarker discovery
11 Medical and Health Sciences
Cells, Cultured
PLASMA YKL-40
Endarterectomy
RISK
Endarterectomy, Carotid
Extracellular Matrix Proteins
General Medicine
Plaque, Atherosclerotic
Extracellular Matrix
Medicine, Research & Experimental
CARDIOVASCULAR-DISEASE
Biomarker (medicine)
Female
Life Sciences & Biomedicine
medicine.medical_specialty
Immunology
Myocytes, Smooth Muscle
STATISTICAL-MODEL
03 medical and health sciences
Journal Article
medicine
Humans
NATURAL COURSE
ATHEROSCLEROTIC PLAQUES
Science & Technology
business.industry
Atherosclerosis
Vulnerable plaque
030104 developmental biology
MYELOID-RELATED PROTEIN-14
Clinical Medicine
business
Biomarkers
Subjects
Details
- ISSN :
- 15588238 and 00219738
- Volume :
- 127
- Database :
- OpenAIRE
- Journal :
- Journal of Clinical Investigation
- Accession number :
- edsair.doi.dedup.....06bd6507360d0b7346be45c1a632f84c