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Digital PCR for Quantifying Circulating MicroRNAs in Acute Myocardial Infarction and Cardiovascular Disease
Published on: July 3, 2018
Circulating Mitochondrial Open Reading Frame of the 12S Ribosomal RNA Type-c Is Higher in Acute Coronary Syndrome and
Pengyu Cao1,2, Bojian Wang3, Ningning Zhang2
1Changzhou Medical Center Nanjing Medical University Changzhou 213004 Jiangsu China.
Insights
Mitochondrial open reading frame of the 12S ribosomal RNA type-c (MOTS-c) is elevated in acute coronary syndrome patients, correlating with oxidative stress. MOTS-c shows potential in predicting major adverse cardiac events, especially in myocardial infarction cases.
Area of Science:
- Cardiology
- Biochemistry
- Molecular Biology
Background:
- The role of MOTS-c in acute coronary syndrome (ACS) is largely unknown.
- Oxidative stress is a key factor in cardiovascular disease pathogenesis.
- Investigating novel biomarkers for ACS risk stratification is crucial.
Purpose of the Study:
- To measure circulating MOTS-c levels in ACS patients.
- To assess the relationship between MOTS-c, oxidative stress markers, and major adverse cardiac events (MACE).
- To evaluate MOTS-c's predictive value for ACS and MACE.
Main Methods:
- Serum MOTS-c and thiobarbituric acid reactive substances (TBARS) measured in 400 subjects (controls, unstable angina, acute myocardial infarction).
- Clinical data, MACE, and 18-month follow-up were recorded.
- In vitro studies examined MOTS-c's response to oxidative stress.
Main Results:
- Elevated serum MOTS-c and TBARS in ACS patients, with a positive correlation.
- MOTS-c demonstrated high sensitivity (0.890) in predicting unstable angina and myocardial infarction.
- MOTS-c/TBARS levels predicted MACE in myocardial infarction patients (sensitivity 0.800).
- In vitro: Oxidative stress induces MOTS-c; MOTS-c treatment reduces hypoxia-induced oxidative stress.
Conclusions:
- Circulating MOTS-c is associated with increased ACS risk.
- Imbalance between oxidative stress and MOTS-c may predict MACE in myocardial infarction.
- MOTS-c represents a potential biomarker for cardiovascular risk assessment.
Background:
To date, the role of MOTS-c (mitochondrial open reading frame of the 12S ribosomal RNA type-c) in acute coronary syndrome remains largely unknown. We measured circulating MOTS-c levels, markers of oxidative stress, and blood biochemical parameters in patients with acute coronary syndrome and examined their relationship with major adverse cardiac events (MACE).
Methods:
A total of 400 subjects were recruited and divided into 3 groups: normal controls, unstable angina, and acute myocardial infarction, based on the clinical data and angiography results. Serum MOTS-c and thiobarbituric acid reactive substances were measured upon initial admission. Hospitalization data, major adverse cardiac events, and a follow-up duration of 18 months were recorded.
Results:
The serum levels of MOTS-c and thiobarbituric acid reactive substances were higher in patients with acute coronary syndrome and there was a positive correlation between MOTS-c and thiobarbituric acid reactive substances. In addition, MOTS-c levels showed a high sensitivity of 0.890 (cutoff value, 326.65 [95% CI, 253.41-631.84]; area under the curve, 0.739 [95% CI, 0.647-0.832], P<0.001) in predicting the occurrence of unstable angina and acute myocardial infarction in the general population. Our data also showed that MOTS-c/thiobarbituric acid reactive substances levels could be used to predict major adverse cardiac events in the group with acute myocardial infarction, with a sensitivity of 0.800 and specificity of 0.667 (cutoff value, 48.26 ng/umol [95% CI, 45.43-90.16 ng/umol]; area under the curve, 0.718 [95% CI, 0.598-0.839], P=0.003). In vitro studies demonstrated that oxidative stress induces MOTS-c levels and MOTS-c treatment reduces hypoxia-induced oxidative stress through activating antioxidants.
Conclusions:
The circulating MOTS-c is associated with an increased risk of acute coronary syndrome and the imbalance between oxidative stress and circulating MOTS-c may play a role in predicting major adverse cardiac events in patients with acute myocardial infarction.
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