PLoS ONE (Jan 2018)

Genotyping performance evaluation of commercially available HIV-1 drug resistance test.

  • Audu Rosemary,
  • Onwuamah Chika,
  • Okpokwu Jonathan,
  • Imade Godwin,
  • Odaibo Georgina,
  • Okwuraiwe Azuka,
  • Musa Zaidat,
  • Chebu Philippe,
  • Ezechi Oliver,
  • Agbaji Oche,
  • Olaleye David,
  • Samuel Jay,
  • Dalhatu Ibrahim,
  • Ahmed Mukhtar,
  • DeVos Joshua,
  • Yang Chunfu,
  • Raizes Elliot,
  • Chaplin Beth,
  • Kanki Phyllis,
  • Idigbe Emmanuel

DOI
https://doi.org/10.1371/journal.pone.0198246
Journal volume & issue
Vol. 13, no. 6
p. e0198246

Abstract

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BACKGROUND:ATCC HIV-1 drug resistance test kit was designed to detect HIV-1 drug resistance (HIVDR) mutations in the protease and reverse transcriptase genes for all HIV-1 group M subtypes and circulating recombinant forms. The test has been validated for both plasma and dried blood spot specimen types with viral load (VL) of ≥1000 copies/ml. We performed an in-country assessment on the kit to determine the genotyping sensitivity and its accuracy in detecting HIVDR mutations using plasma samples stored under suboptimal conditions. METHODS:Among 572 samples with VL ≥1000 copies/ml that had been genotyped by ViroSeq assay, 183 were randomly selected, including 85 successful genotyped and 98 unsuccessful genotyped samples. They were tested with ATCC kits following the manufacturer's instructions. Sequence identity and HIVDR patterns were analysed with Stanford University HIV Drug Resistance HIVdb program. RESULTS:Of the 183 samples, 127 (69.4%) were successfully genotyped by either method. While ViroSeq system genotyped 85/183 (46.5%) with median VL of 32,971 (IQR: 11,150-96,506) copies/ml, ATCC genotyped 115/183 (62.8%) samples with median VL of 23,068 (IQR: 7,397-86,086) copies/ml. Of the 98 unsuccessful genotyped samples with ViroSeq assay, 42 (42.9%) samples with lower median VL of 13,906 (IQR: 6,122-72,329) copies/ml were successfully genotyped using ATCC. Sequence identity analysis revealed that the sequences generated by both methods were >98% identical and yielded similar HIVDR profiles at individual patient level. CONCLUSION:This study confirms that ATCC kit showed greater sensitivity in genotyping plasma samples stored in suboptimal conditions experiencing frequent and prolonged power outage. Thus, it is more sensitive particularly for subtypes A and A/G HIV-1 in resource-limited settings.