Mots-C
Mitochondrial open reading frame of the 12S rRNA-c, MT-RNR1, Mitochondrial-derived peptide MOTS-c
MOTS-c as a predictor of coronary lesions and complexity in patients with stable coronary artery disease.
Yaşar. E E; Çakmak. T T; Bayramoğlu. A A; Karakuş. Y Y; Tekin. S S; Şekerci. G G; Türkoğlu. C C
Key Findings
- MOTS‑c levels were significantly lower in patients with coronary artery disease (111 ± 13) compared to healthy controls (161 ± 23).
- Low MOTS‑c was an independent predictor of having CAD in multivariate analysis (p < 0.001).
- A cutoff of 130.9 pg/mL gave 80.3% sensitivity and 73.2% specificity for detecting CAD (AUC = 0.858).
Practical Outcomes
- If you can get a MOTS‑c test, a low result may flag higher heart‑disease risk, prompting earlier lifestyle changes or medical screening. Until supplementation or dosing data are available, focus on known ways to boost MOTS‑c naturally—regular aerobic exercise, adequate sleep, and a balanced diet rich in nutrients that support mitochondrial health.
Summary
People with stable heart disease have lower blood levels of a tiny protein called MOTS‑c, and those levels can predict how severe the artery blockages are. The study suggests MOTS‑c could be used as a blood test to spot hidden heart problems early, but it doesn’t tell us how to raise it or whether taking it helps.
Abstract
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. 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. 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. 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.
Study Information
pubmed
2022
2022-08-01T00:00:00.000Z
10.26355/eurrev_202208_29501
5
40