Matrix metalloproteinase-3 predicts clinical cardiovascular outcomes in patients with coronary artery disease: a 5 years cohort study
Matrix metalloproteinases (MMPs) are implicated in atherosclerosis evolution into a coronary artery disease (CAD). They could be used as biomarkers for a predictive approach when they are studied simultaneously. We aim in our study to demonstrate prospectively in patients with history of CAD that MM...
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Published in: | Molecular biology reports Vol. 46; no. 5; pp. 4699 - 4707 |
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Main Authors: | , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Dordrecht
Springer Netherlands
01-10-2019
Springer Nature B.V |
Subjects: | |
Online Access: | Get full text |
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Summary: | Matrix metalloproteinases (MMPs) are implicated in atherosclerosis evolution into a coronary artery disease (CAD). They could be used as biomarkers for a predictive approach when they are studied simultaneously. We aim in our study to demonstrate prospectively in patients with history of CAD that MMPs level is linked to clinical cardiovascular outcomes. Two hundred and eighteen patients diagnosed with CAD were followed prospectively for 5 years in the Cardiology Department of la Rabta Hospital University. Clinical cardiovascular outcomes during the period of the cohort were recorded. Measures were performed for biological and matrix markers at baseline. MMP-3, MMP-8, MMP-9, TIMP-1 and TIMP-2 were measured by ELISA in Sandwich assay. Fifty-nine cardiovascular outcomes occurred during the cohort period. By multivariate analysis, only MMP-3 persisted as a predictor for cardiovascular events even after adjustment. This metalloproteinase have been shown to be an independent predictor for cardiovascular outcomes (HR = 3.01; CI (1.3–6.95). The found cut-off value by receiver operating curve (ROC) was used for Kaplan–Meier analysis and revealed that patients with MMP-3 level higher than 9.3 ng/mL had a lower survival rate (p = 0.03). MMP-3 baseline level in patients with history of CAD is a potential predictor for cardiovascular outcomes. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0301-4851 1573-4978 |
DOI: | 10.1007/s11033-019-04914-4 |