Literature DB >> 34205079

Association of Matrix Metalloproteinases with Coronary Artery Calcification in Patients with CHD.

Yana V Polonskaya1, Elena V Kashtanova1, Ivan S Murashov2, Evgenia V Striukova1, Alexey V Kurguzov2, Ekaterina M Stakhneva1, Viktoria S Shramko1, Nikolay A Maslatsov1, Aleksandr M Chernyavsky2, Yulia I Ragino1.   

Abstract

This work is aimed at studying the relationship of matrix metalloproteinases with calcification of the coronary arteries. The study included 78 people with coronary heart disease (CHD) and 36 without CHD. Blood and samples of coronary arteries obtained as a result of endarterectomy were examined. Serum levels of metalloproteinases (MMP) MMP-1, MMP-2, MMP-3, MMP-7, MMP-9, MMP-10, MMP-12, and MMP-13 were determined by multiplex analysis. In blood vessel samples, MMP-1, MMP-3, MMP-7, and MMP-9 were determined by enzyme immunoassay; MMP-9 expression was evaluated by immunohistochemistry. Patients with CHD had higher serum levels of MMP-1, MMP-7, and MMP-12. Blood levels of MMP-1 and MMP-3 were associated with calcium levels, MMP-9 with osteoprotegerin and osteonectin, MMP-7 and MMP-10 with osteoprotegerin, MMP-12 with osteocalcin, and MMP-13 with osteopontin. Calcified plaques had higher levels of MMP-1 and MMP-9 compared to plaques without calcification. The relative risk of coronary arteries calcification was associated with MMP-9, which is confirmed by the results of immunohistochemistry. The results obtained indicate the participation of some MMPs, and especially MMP-9, in the calcification processes. The study can serve as a basis for the further study of the possibility of using MMP-1, MMP-7 and MMP-12 as potential biomarkers of CHD.

Entities:  

Keywords:  atherosclerosis; calcification; coronary heart disease; metalloproteinases; multiplex assay

Year:  2021        PMID: 34205079     DOI: 10.3390/jpm11060506

Source DB:  PubMed          Journal:  J Pers Med        ISSN: 2075-4426


  2 in total

1.  Identification of pathways and key genes in male late-stage carotid atherosclerosis using bioinformatics analysis.

Authors:  Di Zhang; Xin Li; Bei Jing; Huimei Shi; Shiquan Chang; Zhenni Chen; Yachun Zheng; Yuwei Pan; Guoqiang Qian; Guoping Zhao
Journal:  Exp Ther Med       Date:  2022-05-20       Impact factor: 2.751

2.  Basic Research in Atherosclerosis: Technologies of Personalized Medicine.

Authors:  Yuliya Ragino; Evgeniia Striukova; Elena Shakhtshneider
Journal:  J Pers Med       Date:  2022-02-28
  2 in total

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