HIV-1 protease and reverse transcriptase mutation patterns responsible for discordances between genotypic drug...

Area of Science:

• Virology
• Genetics
• Computational Biology

Background:

• HIV-1 genotypic resistance testing is vital for guiding antiretroviral therapy.
• Multiple rules-based algorithms exist for interpreting resistance test results.
• Assessing algorithm concordance is essential for reliable clinical interpretation.

Purpose of the Study:

• To evaluate the concordance among four publicly available HIV-1 genotypic resistance interpretation algorithms.
• To identify specific mutation patterns responsible for inter-algorithm discrepancies.

Main Methods:

• Applied four distinct resistance interpretation algorithms to 2,045 HIV-1 patient sequences.
• Analyzed 30,675 drug-resistance interpretations across 15 antiretroviral drugs.
• Classified interpretations as Susceptible (S), Intermediate (I), or Resistant (R).

Main Results:

• Complete concordance was observed in 66.4% of interpretations.
• Complete discordance (S vs. R) occurred in 4.4% of interpretations.
• Partial discordance (involving I) occurred in 29.2% of interpretations.
• Discordances varied by drug class, with nucleoside reverse transcriptase inhibitors linked to simple mutations and protease inhibitors to complex patterns.

Conclusions:

• Significant inter-algorithm discordances exist in HIV-1 genotypic resistance testing.
• Identifying and understanding mutation patterns causing discordances can improve interpretation accuracy.
• Further research into the clinical significance of these patterns is needed to enhance treatment guidance.