Predictive Value of RNA Protein Kinase and Interferon-γ for HCV Clearance in Patients with Hepatitis C
Journal: Journal of Clinical Medicine Research DOI: 10.32629/jcmr.v2i2.346
Abstract
Objective — To analyze and study the predict value of serum levels of RNA-dependent protein kinase (PKR), tumor necrosis factor alpha (TNF-α), interleukin 10 (IL-10) and interferon gamma (INF-γ) for HCV clearance in patients with HCV infection. Methods — A total of 92 patients with chronic HCV infection (case group), 33 patients with HCV spontaneous resolvers (SR group) and 100 healthy persons (control group) during the same period from January 2018 to October 2019 in our hospital's infection department were collected as the study Object. The basic data and routine biochemical indicators of the three groups of subjects were detected and compared, and the levels of serum PKR, TNF-α, INF-γ and IL-10 were detected by enzyme-linked immunosorbent assay. The ROC work curve analysis was used to evaluate the predictive value of the above immune indicators for HCV clearance in patients with hepatitis C. Results — Compared with the control group and the case group, the serum PKR, TNF-α and IFN-γ levels in the SR group increased, while the IL-10 levels decreased, the difference was statistically significant. Predictive analysis of HCV clearance in chronic hepatitis C patients found that the area under the ROC curve of PKR and IFN-γ were 0.784 (95% CI: 0.704-0.864, P <0.001) and 0.645 (95% CI: 0.538-0.751, P = 0.014), and the optimal cut-off points are 7.00 ng / mL and 101.00 pg / mL, respectively. Conclusion — Both PKR and IFN-γ have a certain predictive value for the clearance of HCV in patients with chronic hepatitis C, which can be used as a potential biomarker for predicting the outcome of HCV infection.
Keywords
RNA protein kinase, hepatitis C virus, virus clearance, predictor
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