Serum microRNAs predict response of patients with chronic hepatitis B to antiviral therapy

Abstract

Objectives: To investigate the feasibility of using serum microRNAs to predict the response of chronic hepatitis B (CHB) patients to antiviral therapy over 48 weeks.

Methods: Sixty-five CHB patients were divided into responder and non-responder groups according to whether hepatitis B e antigen seroconversion occurred at week 48. Serum microRNAs were dynamically detected.

Results: At baseline, the responder group had lower miR-122-5p (P = 0.006) and higher miR-1307-3p (P = 0.018) than the non-responder group. After therapy, miR-320a-3p and miR-320c were higher in the responder group than the non-responder group (P = 0.043 and 0.031, respectively). In the responder group, 9 microRNAs-let-7d-5p, let-7f-5p, let-7i-5p, miR-126-3p, miR-1307-3p, miR-181a-5p, miR-21-5p, miR-425-5p and miR-652-3p-were significantly lower at week 48 than at baseline (P < 0.05); however, miR-320a-3p was significantly elevated after therapy (P < 0.001). In the non-responder group, miR-122-5p significantly decreased after therapy compared with baseline (P = 0.005). Finally, miR-122-5p was positively correlated with titer of hepatitis B virus DNA (r = 0.438, P = 0.008) and hepatitis B e antigen (r = 0.610, P < 0.001), and miR-320a-3p was negatively correlated with hepatitis B virus DNA titer (r = -0.366, P = 0.028) at baseline.

Conclusions: The dynamic fluctuations of serum microRNAs might predict the efficacy of antiviral therapy for CHB.

Keywords: Antiviral therapy; Chronic hepatitis B; microRNA.