Evaluation of a cost effective in-house method for HIV-1 drug resistance genotyping using plasma samples.
other · Level V
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- Record sourced from PubMed, PMID 24533056.
- Also identified by DOI 10.1371/journal.pone.0087441 and PMC identifier 3922725.
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Abstract
Validation of a cost effective in-house method for HIV-1 drug resistance genotyping using plasma samples. The validation includes the establishment of analytical performance characteristics such as accuracy, reproducibility, precision and sensitivity. 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. 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. 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.
Medical subject headings
- Drug Resistance, Viral
- Genotyping Techniques
- HIV Infections
- HIV-1
- Sequence Analysis, DNA