MOTS-c as a predictor of coronary lesions and complexity in patients with stable coronary artery disease

Eur Rev Med Pharmacol Sci. 2022 Aug;26(16):5676-5682. doi: 10.26355/eurrev_202208_29501.

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 between MOTS-c levels and CAD presence and severity using SYNTAX score (SS) in patients with stable angina pectoris.

Patients and methods: Ninety-two consecutive patients with stable coronary artery disease (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 ≥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.

MeSH terms

  • Angina, Stable*
  • Atherosclerosis*
  • Coronary Angiography
  • Coronary Artery Disease*
  • Humans
  • Severity of Illness Index