Hepatitis B virus (HBV) chronically infects an estimated 300 million people, and standard treatments are rarely curative. Infection increases the risk of liver cirrhosis and hepatocellular carcinoma, and consequently, nearly 1 million people die each year from chronic hepatitis B. Tools and approaches that bring insights into HBV biology and facilitate the discovery and evaluation of antiviral drugs are in demand. Here, we describe a method to initiate the replication of HBV, a DNA virus, using synthetic RNA. This approach eliminates contaminating background signals from input virus or plasmid DNA that plagues existing systems and can be used to study multiple stages of HBV replication. We further demonstrate that this method can be uniquely applied to identify sequence variants that confer resistance to antiviral drugs.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10096565PMC
http://dx.doi.org/10.1126/sciadv.adg6265DOI Listing

Publication Analysis

Top Keywords

hepatitis virus
8
antiviral drugs
8
rna-based system
4
system study
4
study hepatitis
4
virus
4
virus replication
4
replication evaluate
4
evaluate antivirals
4
antivirals hepatitis
4

Similar Publications

Hepatitis C virus (HCV) presents a significant global health issue due to its widespread prevalence and the absence of a reliable vaccine for prevention. While significant progress has been achieved in therapeutic interventions since the disease was first identified, its resurgence underscores the need for innovative strategies to combat it. The nonstructural protein NS5A is crucial in the life cycle of the HCV, serving as a significant factor in both viral replication and assembly processes.

View Article and Find Full Text PDF

Background: Conflicting results have been reported on the impact of tenofovir versus entecavir on liver-related outcomes.

Aims: To explore trends in clinical outcomes in chronic hepatitis B virus (HBV)-infected patients and compare the impact of tenofovir versus entecavir on the risk of hepatocellular carcinoma (HCC), liver transplantation (LT) and mortality.

Methods: We used the French National Health Insurance Databases (SNDS) to identify HBV-infected patients.

View Article and Find Full Text PDF

Human immunodeficiency virus (HIV), hepatitis B virus (HBV), and hepatitis C virus (HCV) are known as the most common blood-borne viral infections worldwide. Individuals referring to drop-in centers (DICs) are considered high-risk people exposed to infection with blood-borne viruses. The purpose of this study was to investigate the prevalence of HIV, HBV, and HCV infections among women referred to DICs in Lorestan Province, western Iran.

View Article and Find Full Text PDF

Comparison of models to predict incident chronic liver disease: a systematic review and external validation in Chinese adults.

BMC Med

December 2024

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China.

Background: Risk prediction models can identify individuals at high risk of chronic liver disease (CLD), but there is limited evidence on the performance of various models in diverse populations. We aimed to systematically review CLD prediction models, meta-analyze their performance, and externally validate them in 0.5 million Chinese adults in the China Kadoorie Biobank (CKB).

View Article and Find Full Text PDF

The natural history of chronic hepatitis C virus (HCV) infection has changed after the introduction of direct-acting antiviral agents (DAAs). Screening programs have been ongoing to reach the World Health Organisation's goal of HCV elimination by 2030, and most infected people are eligible for treatment. Given the increased cardiovascular risk in people with HCV infection and the metabolic pathways of DAAs, it is not uncommon to face the issue of drug-drug interactions (DDIs) with antiplatelet or anticoagulant drugs.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!