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Published on: August 28, 2018
Diagnostic performance of RAC2 combined with CT-FFR parameters in coronary heart disease
Zhanying Zhu1, Jiani Xu1, Haitao Wang1
1Department of Radiology, No. 903 Hospital of PLA Joint Logistic Support Force, Hangzhou, China.
Insights
RAC2, a key gene in coronary heart disease (CHD), promotes inflammation and predicts poor prognosis. Combining RAC2 with CT fractional flow reserve (CT-FFR) significantly improves CHD diagnosis accuracy.
Area of Science:
- Cardiology
- Molecular Biology
- Biomarker Discovery
Background:
- Coronary heart disease (CHD) poses a significant health burden, particularly in the elderly.
- CT fractional flow reserve (CT-FFR) shows promise for diagnosing cardiovascular diseases.
- Identifying novel biomarkers is crucial for enhancing CHD diagnostic accuracy.
Purpose of the Study:
- To identify key genes associated with CHD from the GEO database.
- To investigate the role of RAC2 in CHD pathogenesis and its potential as a diagnostic biomarker.
- To evaluate the combined diagnostic value of RAC2 and CT-FFR for CHD.
Main Methods:
- Gene screening using the GEO database.
- ROC curve analysis and logistic regression using GraphPad and SPSS software.
- In vitro inflammatory cell model using TNF-α stimulated HMVEC-Cs to assess RAC2 function.
Main Results:
- RAC2 was found to be highly expressed in CHD patients, with expression levels decreasing after nitric ester therapy.
- The combination of RAC2 and CT-FFR demonstrated superior diagnostic value for CHD (AUC=0.971).
- RAC2 was identified as an independent risk factor for poor prognosis in CHD patients receiving nitric ester drugs (AUC=0.888).
- RAC2 modulated the expression of inflammatory markers (NF-κB, NLRP3, IL-1β, IL-6) in TNF-α-induced HMVEC-Cs.
Conclusions:
- RAC2 promotes inflammatory responses in cardiac microvascular endothelial cells.
- RAC2 serves as a predictor of poor prognosis in CHD patients.
- The combined assessment of RAC2 and CT-FFR offers a robust diagnostic strategy for CHD.
Background:
The incidence and mortality of coronary heart disease (CHD) are high in the elderly population. CT fractional flow reserve (CT-FFR) is a potential diagnostic technique for cardiovascular diseases. In order to mine valuable biomarkers to combine CT-FFR parameters to improve the diagnostic accuracy of CHD.
Methods:
In this study, GEO database was used to screen the key genes of CHD. GraphPad software was used to construct receiver operating characteristic (ROC) curve, and SPSS software was used for logistic regression analysis. Inflammatory cell model was constructed by treating human cardiac microvascular endothelial cells (HMVEC-Cs) with TNF-α to explore the role of RAC2 in this process.
Results:
Real time quantitative PCR (RT-qPCR) results showed high-expression of RAC2 in CHD patients, which were reversed after nitric ester drug therapy. The analysis of ROC curves displayed that RAC2 combined with CT-FFR had a higher diagnostic value for CHD (AUC=0.971, 95% CI 0.950-0.992) compared to the single factor, and RAC2 was an independent risk factor for poor prognosis in CHD patients treated with nitric ester drugs (AUC=0.888, 95% CI 0.814-0.961, P<0.001). Overexpression of RAC2 further enhanced the elevated expression levels of NF-κB, NLRP3, IL-1β, and IL-6, induced by TNF-α, and its silence had the opposite effect.
Conclusions:
RAC2 promoted the inflammatory response of HMVEC-Cs and predicted a poor prognosis in CHD patients. The combination of RAC2 and CT-FFR parameters was a good classifier for diagnosing CHD.
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