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Updated: Jun 9, 2025

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
Why and when could nucleos(t)ide analogues treatment be withdrawn?
Jimmy Che-To Lai1, Piero Colombatto2, Grace Lai-Hung Wong3
1Medical Data Analytics Centre, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China.
Nucleos(t)ide analogues (NUCs) suppress hepatitis B virus (HBV) but rarely achieve functional cure. Personalized medicine using AI may optimize NUC treatment duration for chronic hepatitis B patients.
Area of Science:
- Hepatology
- Virology
- Immunology
Background:
- Oral antiviral nucleos(t)ide analogues (NUCs) effectively suppress hepatitis B virus (HBV) replication, improving clinical outcomes.
- Functional cure, defined by hepatitis B surface antigen (HBsAg) clearance, remains rare despite long-term NUC therapy.
- New treatments with finite durations are being investigated for chronic hepatitis B (CHB).
Purpose of the Study:
- To explore strategies for achieving HBsAg loss and functional cure in CHB patients.
- To evaluate the risks and benefits of NUC discontinuation.
- To investigate biomarkers and AI-driven approaches for personalized NUC treatment decisions.
Main Methods:
- Review of available data on NUC therapy outcomes, including HBsAg loss and relapse rates.
- Analysis of risks associated with NUC discontinuation in patients with cirrhosis.
- Exploration of viral and immune biomarkers for relapse risk stratification.
- Consideration of artificial intelligence (AI) and viral kinetics modeling for treatment optimization.
Main Results:
- HBsAg loss occurs in 10-20% of patients post-NUC discontinuation, but with significant risks of virological relapse (50-80%) and retreatment (40-55%).
- NUC treatment should not be stopped in patients with cirrhosis due to high risks of hepatic decompensation and mortality.
- Biomarkers for predicting relapse risk after NUC cessation are under investigation.
Conclusions:
- Achieving functional cure of HBV remains a challenge, with NUC discontinuation posing significant relapse risks.
- Personalized medicine approaches, including AI-powered monitoring of viral kinetics, show promise for optimizing NUC treatment duration and improving patient outcomes.
- Further research into predictive biomarkers and advanced modeling is crucial for guiding individualized treatment decisions in CHB management.
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