Long noncoding RNAs (lncRNAs) constitute the largest class of noncoding RNAs and play significant roles in the development of cardiovascular pathologies. In the present study, we aimed to evaluate whether 4 candidate lncRNAs – MIAT, MEG3, MALAT1, and MCM3AP-AS1 – have distinct expression levels in patients with obstructive coronary artery disease (CAD) and reveal the diagnostic and therapeutic potentials of these lncRNAs for CAD. A total of 90 patients who subjected to coronary angiography were enrolled. Relative expression of lncRNAs were assayed using qRT-PCR methodology. As a result, <i>MIAT</i> was downregulated, while <i>MEG3</i> was upregulated in CAD patients. Receiver operating characteristic curves demonstrated that these lncRNAs have a high potential to provide sensitive and specific diagnosis of CAD. The calculated area under curve levels indicated that MIAT and MEG3 have high diagnostic value for detecting the presence of significant CAD. However, <i>MALAT1</i> and <i>MCM3AP-AS1</i> levels were not sufficiently reliable for CAD development in our cases. Here, we demonstrate that <i>MIAT</i> and <i>MEG3</i> were differentially expressed in our patients and might be promising biomarkers and therapeutic targets for CAD. These results indicate that <i>MIAT</i> and <i>MEG3</i> could play chief roles in CAD development.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.