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Cited by 258

The DOI matches its Crossref record; 146 of the 146 references it cites were found in a registry or an index.

Matrix Metalloproteinases as Biomarkers of Atherosclerotic Plaque Instability

Open access
Olejarz, Wioletta, Łacheta, Dominika, Kubiak-Tomaszewska, Grażyna·2020·International Journal of Molecular Sciences

Abstract

Matrix metalloproteinases (MMPs) are a family of zinc-dependent endopeptidases responsible for tissue remodeling and degradation of extracellular matrix (ECM) proteins. MMPs may modulate various cellular and signaling pathways in atherosclerosis responsible for progression and rupture of atherosclerotic plaques. The effect of MMPs polymorphisms and the expression of MMPs in both the atherosclerotic plaque and plasma was shown. They are independent predictors of atherosclerotic plaque instability in stable coronary heart disease (CHD) patients. Increased levels of MMPs in patients with advanced cardiovascular disease (CAD) and acute coronary syndrome (ACS) was associated with future risk of cardiovascular events. These data confirm that MMPs may be biomarkers in plaque instability as they target in potential drug therapies for atherosclerosis. They provide important prognostic information, independent of traditional risk factors, and may turn out to be useful in improving risk stratification.

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Crossref · 10.3390/ijms21113946

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Metadata

Authors
Olejarz, W., Łacheta, D., & Kubiak-Tomaszewska, G.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2020-05-31
Volume
21
Issue
11
Pages
3946
ISSN
1422-0067 (ISSN-L)
OpenAlex
W3029847683
Cited by
258
References
146
FWCI
8.27
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Matrix Metalloproteinases as Biomarkers of Atherosclerotic Plaque Instability. https://app.cochat.ai/papers/10.3390/ijms21113946
The paper
Olejarz, W., Łacheta, D., & Kubiak-Tomaszewska, G. (2020). Matrix Metalloproteinases as Biomarkers of Atherosclerotic Plaque Instability. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms21113946

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.