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Identification of biomarker panels as predictors of severity in coronary artery disease
Matrix metalloproteinases (MMPs) are implicated in atherosclerotic plaque rupture and recondition. Specific tissue inhibitors (TIMPs) control MMP functions. Both MMPs and TIMPs are potential biomarkers of plaque instability. Elevated Apo‐CII and CIII and Apo‐E levels are recognized as cardiovascular...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7875935/ https://www.ncbi.nlm.nih.gov/pubmed/33381894 http://dx.doi.org/10.1111/jcmm.16244 |
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author | Ben Braiek, Assia Chahed, Hinda Dumont, Florent Abdelhak, Fodha Hichem, Denguir Gamra, Habib Baudin, Bruno |
author_facet | Ben Braiek, Assia Chahed, Hinda Dumont, Florent Abdelhak, Fodha Hichem, Denguir Gamra, Habib Baudin, Bruno |
author_sort | Ben Braiek, Assia |
collection | PubMed |
description | Matrix metalloproteinases (MMPs) are implicated in atherosclerotic plaque rupture and recondition. Specific tissue inhibitors (TIMPs) control MMP functions. Both MMPs and TIMPs are potential biomarkers of plaque instability. Elevated Apo‐CII and CIII and Apo‐E levels are recognized as cardiovascular disease risk factors. We aimed to establish the best blood biomarker panel to evaluate the coronary artery disease (CAD) severity. Plasma levels of MMP‐3 and MMP‐9, TIMP‐1 and TIMP‐2, Apo‐CII, Apo‐CIII and Apo‐E were measured in 472 patients with CAD evaluated by coronary angiography and electrocardiography, and in 285 healthy controls. MMP‐3 and MMP‐9 plasma levels in CAD patients were significantly increased (P < 0.001) compared to controls (3.54‐ and 3.81‐fold, respectively). Furthermore, these increments are modulated by CAD severity as well as for Apo‐CII and Apo‐CIII levels (P < 0.001). TIMPs levels were decreased in CAD versus controls (P < 0.001) and in inverse correlation to MMPs. Standard ROC curve approach showed the importance of panels of biomarkers, including MMP‐3, MMP‐9, TIMP‐1, TIMP‐2, Apo‐CII and Apo‐CIII, for disease aggravation diagnosis. A high area under curve (AUC) value (0.995) was reached for the association of MMP‐9, TIMP‐2 and Apo‐CIII. The unbalance between MMPs and TIMPs in vascular wall and dyslipidaemia creates favourable conditions for plaque disruption. Our study suggests that the combination of MMP‐9, TIMP‐2 and Apo‐CIII values (‘CAD aggravation panel’) characterizes the severity of CAD, that is electrophysiological state, number of involved vessels, stent disposal and type of stent. |
format | Online Article Text |
id | pubmed-7875935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78759352021-02-18 Identification of biomarker panels as predictors of severity in coronary artery disease Ben Braiek, Assia Chahed, Hinda Dumont, Florent Abdelhak, Fodha Hichem, Denguir Gamra, Habib Baudin, Bruno J Cell Mol Med Original Articles Matrix metalloproteinases (MMPs) are implicated in atherosclerotic plaque rupture and recondition. Specific tissue inhibitors (TIMPs) control MMP functions. Both MMPs and TIMPs are potential biomarkers of plaque instability. Elevated Apo‐CII and CIII and Apo‐E levels are recognized as cardiovascular disease risk factors. We aimed to establish the best blood biomarker panel to evaluate the coronary artery disease (CAD) severity. Plasma levels of MMP‐3 and MMP‐9, TIMP‐1 and TIMP‐2, Apo‐CII, Apo‐CIII and Apo‐E were measured in 472 patients with CAD evaluated by coronary angiography and electrocardiography, and in 285 healthy controls. MMP‐3 and MMP‐9 plasma levels in CAD patients were significantly increased (P < 0.001) compared to controls (3.54‐ and 3.81‐fold, respectively). Furthermore, these increments are modulated by CAD severity as well as for Apo‐CII and Apo‐CIII levels (P < 0.001). TIMPs levels were decreased in CAD versus controls (P < 0.001) and in inverse correlation to MMPs. Standard ROC curve approach showed the importance of panels of biomarkers, including MMP‐3, MMP‐9, TIMP‐1, TIMP‐2, Apo‐CII and Apo‐CIII, for disease aggravation diagnosis. A high area under curve (AUC) value (0.995) was reached for the association of MMP‐9, TIMP‐2 and Apo‐CIII. The unbalance between MMPs and TIMPs in vascular wall and dyslipidaemia creates favourable conditions for plaque disruption. Our study suggests that the combination of MMP‐9, TIMP‐2 and Apo‐CIII values (‘CAD aggravation panel’) characterizes the severity of CAD, that is electrophysiological state, number of involved vessels, stent disposal and type of stent. John Wiley and Sons Inc. 2020-12-31 2021-02 /pmc/articles/PMC7875935/ /pubmed/33381894 http://dx.doi.org/10.1111/jcmm.16244 Text en © 2020 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Ben Braiek, Assia Chahed, Hinda Dumont, Florent Abdelhak, Fodha Hichem, Denguir Gamra, Habib Baudin, Bruno Identification of biomarker panels as predictors of severity in coronary artery disease |
title | Identification of biomarker panels as predictors of severity in coronary artery disease |
title_full | Identification of biomarker panels as predictors of severity in coronary artery disease |
title_fullStr | Identification of biomarker panels as predictors of severity in coronary artery disease |
title_full_unstemmed | Identification of biomarker panels as predictors of severity in coronary artery disease |
title_short | Identification of biomarker panels as predictors of severity in coronary artery disease |
title_sort | identification of biomarker panels as predictors of severity in coronary artery disease |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7875935/ https://www.ncbi.nlm.nih.gov/pubmed/33381894 http://dx.doi.org/10.1111/jcmm.16244 |
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