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Viruses with RNA Genomes

RNA viruses are categorized into positive-strand, negative-strand, or double-stranded groups based on their genomic structure and replication mechanisms. This classification dictates how they exploit host cellular machinery for protein synthesis and replication. Some RNA viruses also utilize reverse transcription as part of their life cycle, further diversifying their replication strategies.Positive-Strand RNA VirusesPositive-strand RNA viruses have genomes that function directly as messenger...
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Detection of Low Copy Number Integrated Viral DNA Formed by In Vitro Hepatitis B Infection
11:14

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Published on: November 7, 2018

Hepatitis B virus reverse transcriptase sequence variant database for sequence analysis and mutation discovery.

Soo-Yon Rhee1, Severine Margeridon-Thermet, Mindie H Nguyen

  • 1Department of Medicine, Stanford University, CA, United States. syrhee@stanford.edu

Antiviral Research
|September 30, 2010
PubMed
Summary
This summary is machine-generated.

Hepatitis B virus (HBV) drug resistance mutations in reverse transcriptase (RT) are common. This study characterized mutation frequencies in treated and untreated patients, aiding personalized therapy decisions.

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Area of Science:

  • Hepatitis B Virus (HBV) Research
  • Antiviral Drug Resistance
  • Molecular Virology

Background:

  • Drug resistance mutations in hepatitis B virus (HBV) reverse transcriptase (RT) impede effective therapy.
  • Genotypic resistance testing is recommended for patients with virological failure during nucleos(t)ide RT inhibitor (N(t)RTI) treatment.
  • Limited data exist on the prevalence of specific HBV RT mutations and their association with N(t)RTI treatment.

Purpose of the Study:

  • To determine the relative frequencies of HBV RT mutations in N(t)RTI-treated and untreated individuals.
  • To investigate the association between specific RT mutations and N(t)RTI treatment regimens.
  • To create a comprehensive database and tool for analyzing HBV RT mutation prevalence.

Main Methods:

  • Retrieved 23,871 HBV RT sequences from GenBank.
  • Compiled data on patient treatment history, sampling year, and region into the HBVrtDB database.
  • Developed an interactive program (HBVseq) for mutation identification and prevalence retrieval.

Main Results:

  • HBVrtDB contains 6811 sequences from 3869 individuals, with 73% N(t)RTI-naïve and 27% treated.
  • Specific mutations (e.g., L80I/V, M204I/V) were significantly associated with lamivudine treatment.
  • Other mutations (e.g., A181S/T/V, N236T) showed significant association with adefovir treatment.
  • Four additional mutations (L82M, S85A, A200V, Q215S) were significantly associated with N(t)RTI treatment.

Conclusions:

  • Established a comprehensive database (HBVrtDB) and analysis tool (HBVseq) for HBV RT mutations.
  • Identified significant associations between specific HBV RT mutations and N(t)RTI treatments.
  • Provides valuable data for understanding HBV drug resistance patterns and guiding clinical management.