Related Experiment Video
Updated: May 3, 2026

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
Published on: March 30, 2014
Evaluation of a cost effective in-house method for HIV-1 drug resistance genotyping using plasma samples
Devidas N Chaturbhuj1, Amit P Nirmalkar2, Ramesh S Paranjape3
1Drug Resistance Lab, National AIDS Research Institute, Indian Council of Medical Research, Bhosari, Pune, India.
Objectives:
Validation of a cost effective in-house method for HIV-1 drug resistance genotyping using plasma samples.
Design:
The validation includes the establishment of analytical performance characteristics such as accuracy, reproducibility, precision and sensitivity.
Methods:
The accuracy was assessed by comparing 26 paired Virological Quality Assessment (VQA) proficiency testing panel sequences generated by in-house and ViroSeq Genotyping System 2.0 (Celera Diagnostics, US) as a gold standard. The reproducibility and precision were carried out on five samples with five replicates representing multiple HIV-1 subtypes (A, B, C) and resistance patterns. The amplification sensitivity was evaluated on HIV-1 positive plasma samples (n = 88) with known viral loads ranges from 1000-1.8 million RNA copies/ml.
Results:
Comparison of the nucleotide sequences generated by ViroSeq and in-house method showed 99.41±0.46 and 99.68±0.35% mean nucleotide and amino acid identity respectively. Out of 135 Stanford HIVdb listed HIV-1 drug resistance mutations, partial discordance was observed at 15 positions and complete discordance was absent. The reproducibility and precision study showed high nucleotide sequence identities i.e. 99.88±0.10 and 99.82±0.20 respectively. The in-house method showed 100% analytical sensitivity on the samples with HIV-1 viral load >1000 RNA copies/ml. The cost of running the in-house method is only 50% of that for ViroSeq method (112$ vs 300$), thus making it cost effective.
Conclusions:
The validated cost effective in-house method may be used to collect surveillance data on the emergence and transmission of HIV-1 drug resistance in resource limited countries. Moreover, the wide applications of a cost effective and validated in-house method for HIV-1 drug resistance testing will facilitate the decision making for the appropriate management of HIV infected patients.

