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DOI 10.1016/j.jviromet.2013.01.001

Медицинская библиотека · Journal of virological methods · 2013

Evaluations of an in-house drug resistance method for HIV-1 drug resistance using ViroSeq™ 2.0 genotyping system as a gold standard.

Chaturbhuj Devidas N, Deshmukh Pravin S, Hingankar Nitin K, Siddhaarth K, Deshpande Sohan N, Sen Sourav, Kabra Sandhya, Paranjape Ramesh S, Tripathy Srikanth P

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Аннотация

An in-house method was evaluated for its efficiency to detect the HIV-1 drug resistance mutations. This method was compared with the ViroSeq™ Genotyping System 2.0 (Celera Diagnostics, US) a gold standard. Sixty-five stored plasma samples, previously tested for HIV-1 drug resistance using the ViroSeq™ method were used to evaluate the in-house method. Out of the sixty five plasma samples, sixty were HIV-1 positive clinical samples; four samples from the Virology Quality Assessment (VQA) program and one positive control from the ViroSeq™ kit were used in this study. The sequences generated by the ViroSeq™ and an in-house method showed 99.5±0.5% and 99.7±0.4% (mean±SD) nucleotide and amino acid identity, respectively. Out of 214 Stanford HIVdb listed HIV-1 drug resistance mutations in the protease and reverse transcriptase regions, concordance was observed in 203 (94.9%), partial discordance in 11 (5.1%) and complete discordance was absent. The in-house primers are broadly sensitive in genotyping multiple HIV-1 group M subtypes. The amplification sensitivity of the in-house method was 1000 copies/ml. The evaluation of the in-house method provides results comparable with that of ViroSeq™ method thus, making the in-house method suitable for HIV-1 drug resistance testing in the developing countries.

Для цитирования: Chaturbhuj Devidas N, Deshmukh Pravin S, Hingankar Nitin K, Siddhaarth K, Deshpande Sohan N, Sen Sourav, Kabra Sandhya, Paranjape Ramesh S, Tripathy Srikanth P. Evaluations of an in-house drug resistance method for HIV-1 drug resistance using ViroSeq™ 2.0 genotyping system as a gold standard.. Journal of virological methods. 2013. DOI: 10.1016/j.jviromet.2013.01.001.

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