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Related Experiment Videos

Tenofovir resistance and resensitization.

Katharina Wolf1, Hauke Walter, Niko Beerenwinkel

  • 1Institute of Clinical and Molecular Virology, German National Reference Centre for Retroviruses, University of Erlangen-Nuremberg, Erlangen, Germany.

Antimicrobial Agents and Chemotherapy
|October 25, 2003
PubMed
Summary

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Human immunodeficiency virus resistance to tenofovir is primarily driven by thymidine analogue mutations (TAMs). While M184V can resensitize viruses, accumulating TAMs significantly reduces tenofovir susceptibility, regardless of M184V presence.

Area of Science:

  • Virology
  • Molecular Biology
  • Antiviral Drug Resistance

Background:

  • Tenofovir is a key nucleotide analogue used in human immunodeficiency virus (HIV) treatment.
  • Understanding HIV resistance mechanisms to tenofovir is crucial for optimizing antiretroviral therapy.
  • Retrospective analysis of tenofovir-naïve patient samples provides insight into emerging resistance patterns.

Purpose of the Study:

  • To evaluate the resistance of HIV strains to tenofovir in treatment-naïve patients.
  • To identify specific mutations in reverse transcriptase associated with tenofovir resistance.
  • To elucidate the combined effects of various mutations on tenofovir susceptibility.

Main Methods:

  • Retrospective analysis of 321 HIV samples from tenofovir-naïve individuals.

Related Experiment Videos

  • Genotypic resistance testing to identify mutations in reverse transcriptase.
  • Site-directed mutagenesis to confirm the role of specific mutations (e.g., K65R).
  • Machine learning (decision tree building) to model mutation interpretation for tenofovir resistance.
  • Main Results:

    • Insertions between amino acids 67-70 and the Q151M mutation, particularly with K65R, conferred high resistance.
    • Thymidine analogue mutations (TAMs) showed varying levels of resistance, with combinations significantly increasing resistance.
    • The M184V/I mutation showed a minor resensitizing effect on TAM-induced resistance, but this was overcome by the accumulation of at least two TAMs.
    • Machine learning models highlighted positions 215 and 65 as critical for reduced tenofovir susceptibility.

    Conclusions:

    • Clinically relevant tenofovir resistance is mainly conferred by the accumulation of TAMs.
    • The resensitizing effect of M184V on tenofovir resistance is minor and often negated by multiple TAMs.
    • Understanding mutation profiles is essential for predicting and managing tenofovir resistance in HIV treatment.