Related Experiment Video
Updated: Nov 25, 2025

Analysis of HBV-Specific CD4 T-cell Responses and Identification of HLA-DR-Restricted CD4 T-Cell Epitopes Based on a Peptide Matrix
Published on: October 20, 2021
Hepatitis b infection: progress in identifying patients most likely to respond to peginterferon alfa
Ming-Lun Yeh1,2, Jee-Fu Huang1,2,3,4, Ming-Lung Yu1,2,3
1Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Abstract:
Introduction: Despite the disadvantage of side effects, pegylated interferon alpha (Peg-IFN α) remains an indispensable agent for chronic hepatitis B (CHB) due to its immunomodulatory effect. The selection of a patient most likely to have a favorable response becomes an essential issue for Peg-IFN α therapy.Areas covered: Recent progress in the prediction of the treatment response to Peg-IFN α.Expert opinion: Before Peg-IFN α therapy, baseline host and viral factors, including female sex, younger age, a high alanine aminotransferase level, HBV genotype A or B, and low viral load, predict a favorable response. In addition, on-treatment viral kinetics of hepatitis B surface antigen (HBsAg), e antigen (HBeAg) and HBV DNA help clinicians determine whether to continue or discontinue Peg-IFN α therapy. The novel HBV markers hepatitis B core-related antigen and HBV RNA have recently been investigated as useful predictors. The limited efficacy of Peg-IFN α monotherapy facilitated the development of new strategies of 'add-on' or 'switch to' Peg-IFN α in patients receiving long-term nucleot(s)ide analog treatment, which may lead to an increase in HBeAg and HBsAg loss. In summary, tailored Peg-IFN α therapeutic strategies based on predictors extended the landscape for CHB treatment.
More Related Videos
11:34A Competent Hepatocyte Model Examining Hepatitis B Virus Entry through Sodium Taurocholate Cotransporting Polypeptide as a Therapeutic Target
Published on: May 10, 2022
09:35Development of a Hepatitis B Virus Reporter System to Monitor the Early Stages of the Replication Cycle
Published on: February 1, 2017