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MiR-33 may be a Biological Marker for Coronary Heart Disease
Insights
Elevated plasma miR-33 levels are associated with coronary heart disease (CAD) progression and severity. This microRNA shows potential as a non-invasive biomarker for diagnosing and potentially treating CAD patients.
Area of Science:
- Biochemistry
- Molecular Biology
- Cardiovascular Research
Background:
- Coronary heart disease (CAD) poses a significant global health challenge.
- Understanding the molecular mechanisms underlying CAD progression is crucial for effective management.
- MicroRNAs (miRNAs) are increasingly recognized for their roles in cardiovascular diseases.
Purpose of the Study:
- To investigate the expression and role of miR-33 in coronary heart disease (CAD) progression.
- To assess the diagnostic potential of miR-33 in CAD patients.
- To explore miR-33 as a therapeutic target for CAD.
Main Methods:
- Real-time PCR was used to quantify plasma miR-33 levels in CAD patients and healthy controls.
- ELISA was employed to measure plasma levels of placenta growth factor fragment (PLGF).
- Pearson's correlation analysis was performed to examine associations between miR-33, PLGF, and other biochemical parameters.
Main Results:
- Plasma miR-33 levels were significantly elevated in CAD patients compared to controls.
- Plasma miR-33 showed a positive correlation with Gensini scores and the severity of CAD (single-, double-, and triple-vessel disease).
- Plasma miR-33 levels positively correlated with plasma PLGF, and ROC analysis indicated its utility in screening CAD patients.
Conclusions:
- Increased plasma miR-33 may contribute to the progression of coronary heart disease.
- Plasma miR-33 serves as a potential non-invasive biomarker for CAD diagnosis.
- These findings may offer new insights into the diagnosis and treatment strategies for CAD.
Background:
The main aim of this study was to evaluate the expression and specific role of miR-33 in the progression of coronary heart disease (CAD), thereby evaluating their diagnostic ability and use in treatment in CAD patients.
Methods:
Real time PCR was carried out to explore the level of miR-33 in the plasma of CAD patients and controls. ELISA was performed to analyze the level of placenta growth factor fragment (PLGF). Correlations between miR-33 and PLGF as well as other biochemical parameters were performed with Pearson's correlation analysis.
Results:
First, we evaluated the level of plasma miR-33 in CAD patients and healthy controls. Compared with the control group, the level of plasma miR-33 was significantly increased in CAD patients. Furthermore, Spearman's correlation assay showed that plasma miR-33 positively correlated with the Gensini score (r = 0.354, p = 0.003). Meanwhile, plasma miR-33 was significantly enhanced in CAD patients with single- (1 ± 0.48), double- (1.85 ± 0.687), and triple-vessel disease (2.35 ± 0.87). In addition, Spearman's correlation assay demonstrated that plasma miR-33 positively correlated with plasma PLGF level (r = 0.354, p = 0.003). Lastly, ROC analysis showed that plasma miR-33 could screen CAD patients from healthy controls.
Conclusions:
In summary, we showed novel data that enhanced plasma miR-33 may promote the progression of CAD. Furthermore, plasma miR-33 could be used as a potential non-invasive biomarker for CAD patients, which may shed light on the diagnosis and therapy of CAD.
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