Effect of treatment of chronic hepatitis c virus patients with direct-acting anti-retroviral drugs on semen and hormonal parameters.

Objective: Hepatitis C virus (HCV) infection is known to influence the seminal and hormonal parameters of infected men. This study was performed to assess the effects of HCV clearance using direct-acting antiviral (DAA) agents on semen and hormonal parameters. Methods: A total of 50 patients with chronic HCV were enrolled, and conventional semen analysis was performed according to World Health Organization guidelines. Basal levels of total testosterone, free testosterone (FT), follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), prolactin, and sex hormone-binding globulin (SHBG) were assessed before and 3 months after treatment with DAAs. Results: Following DAA treatment, statistically significant increases were observed in sperm motility and the proportion of grade A sperm. Additionally, the percentage of abnormal forms was significantly decreased after treatment (p=0.000). However, no significant differences were observed in semen volume, concentration, or total sperm count. Sex hormone analysis of patients after DAA treatment revealed significant increases in FT, LH, and FSH levels, along with significant decreases in SHBG, prolactin, and E2 levels. Conclusion: Following HCV clearance, we noted an improvement in sperm motility and an increase in the percentage of sperm with normal morphology. Treatment with DAAs was also associated with increased levels of FT and LH, along with decreased levels of SHBG, prolactin, and E2.

Prognostic MicroRNA Panel for HCV-Associated HCC: Integrating Computational Biology and Clinical Validation.

Early detection of hepatocellular carcinoma (HCC) will reduce morbidity and mortality rates of this widely spread disease. Dysregulation in microRNA (miRNA) expression is associated with HCC progression. The objective is to identify a panel of differentially expressed miRNAs (DE-miRNAs) to enhance HCC early prediction in hepatitis C virus (HCV) infected patients. Candidate miRNAs were selected using a bioinformatic analysis of microarray and RNA-sequencing datasets, resulting in nine DE-miRNAs (miR-142, miR-150, miR-183, miR-199a, miR-215, miR-217, miR-224, miR-424, and miR-3607). Their expressions were validated in the serum of 44 healthy individuals, 62 non-cirrhotic HCV patients, 67 cirrhotic-HCV, and 72 HCV-associated-HCC patients using real-time PCR (qPCR). There was a significant increase in serum concentrations of the nine-candidate miRNAs in HCC and HCV patients relative to healthy individuals. MiR-424, miR-199a, miR-142, and miR-224 expressions were significantly altered in HCC compared to non-cirrhotic patients. A panel of five miRNAs improved sensitivity and specificity of HCC detection to 100% and 95.12% relative to healthy controls. Distinguishing HCC from HCV-treated patients was achieved by 70.8% sensitivity and 61.9% specificity using the combined panel, compared to alpha-fetoprotein (51.4% sensitivity and 60.67% specificity). These preliminary data show that the novel miRNAs panel (miR-150, miR-199a, miR-224, miR-424, and miR-3607) could serve as a potential non-invasive biomarker for HCC early prediction in chronic HCV patients. Further prospective studies on a larger cohort of patients should be conducted to assess the potential prognostic ability of the miRNAs panel.