Related Experiment Video
Updated: May 4, 2026

A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma
Published on: September 30, 2021
Predictors of hepatitis C treatment response: what's new?
1Department of Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, NG7 2UH, UK.
Abstract:
Hepatitis C virus infection is a growing, global health problem, with mortality expected to reach a peak in the next ten years in many western countries. A number of host and viral factors have been established as useful predictors of treatment response in the context of interferon and ribavirin. Several new markers have recently been identified that improve our understanding of treatment response. The addition of protease inhibitors to treatment regimens has highlighted the importance of viral kinetics on-treatment in predicting response to treatment. Many new classes of direct acting anti-virals are currently being developed and expected to be clinically available in the near future. Current predictors of treatment response will be redefined in the context of interferon free regimens.
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
10:37Analysis 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
Related Concept Videos
Hepatitis
Effect of Hepatic Disease on Pharmacokinetics: Pathophysiologic Assessment and Liver Function Test
Factors Affecting Drug Response: Overview
Hepatic Drug Excretion: Influencing Factors
Pharmacogenomics: Identification of New Drug Targets
Effect of Hepatic Disease on Pharmacokinetics: Drug Dosing and Hepatic Blood Flow