MOTS-c as a predictor of coronary lesions and complexity in patients with stable coronary artery disease
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
Verduci Publisher
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
OBJECTIVE: Atherosclerosis plays a major role in the development of coronary artery disease (CAD). It has been shown that mitochondrial open-reading-frame of the twelve S rRNA-c (MOTS-c), a mitochondrial-derived peptide, has preventive effects on atherosclerosis. The aim of this study was to determine the relationship be-tween MOTS-c levels and CAD presence and se-verity using SYNTAX score (SS) in patients with stable angina pectoris. PATIENTS AND METHODS: Ninety-two consecutive patients with stable coronary artery dis-ease (CAD+) and ninety-two consecutive patients with normal coronary artery (CAD-) were included. Presence and severity of coronary artery disease were determined using the SS. RESULTS: We observed that the MOTS-c levels was lower in the CAD group (111 +/- 13 vs. 161 +/- 23, p < 0.001). The MOTS-c levels were also found to be significant independent predictors for CAD in multiple regression analysis (p < 0.001). A MOTS-c levels & GE;130.9 had 80.3% sensitivity and 73.2% specificity (area under the curve [AUC]: 0.858, 95% CI: 0.895-0.999, p < 0.001) for predicting CAD. CONCLUSIONS: The authors revealed that there is a strong correlation between MOTS-c levels and CAD. Therefore, MOTS-c may help identify patients with CAD, thus allowing for early preventive treatment.
Description
Keywords
Coronary artery disease, MOTS -c, SYNTAX score
Journal or Series
European Review For Medical and Pharmacological Sciences
WoS Q Value
Q2
Scopus Q Value
Q2
Volume
26
Issue
16
