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Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques
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 o...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Clinical Investigation
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5373893/ https://www.ncbi.nlm.nih.gov/pubmed/28319050 http://dx.doi.org/10.1172/JCI86924 |
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author | 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 |
author_facet | 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 |
author_sort | Langley, Sarah R. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5373893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | American Society for Clinical Investigation |
record_format | MEDLINE/PubMed |
spelling | pubmed-53738932017-04-07 Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques 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 J Clin Invest Clinical Medicine 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. American Society for Clinical Investigation 2017-03-20 2017-04-03 /pmc/articles/PMC5373893/ /pubmed/28319050 http://dx.doi.org/10.1172/JCI86924 Text en Copyright © 2017 Langley et al. http://creativecommons.org/licenses/by/4.0/ This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Clinical Medicine 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 Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques |
title | Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques |
title_full | Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques |
title_fullStr | Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques |
title_full_unstemmed | Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques |
title_short | Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques |
title_sort | extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques |
topic | Clinical Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5373893/ https://www.ncbi.nlm.nih.gov/pubmed/28319050 http://dx.doi.org/10.1172/JCI86924 |
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