Literature DB >> 25788547

Use of amplification refractory mutation system PCR assay as a simple and effective tool to detect HIV-1 drug resistance mutations.

Aubin J Nanfack1, Lucy Agyingi2, Jean Jacques N Noubiap3, Johnson N Ngai4, Vittorio Colizzi5, Phillipe N Nyambi6.   

Abstract

Access to genotyping assays to determine successful antiretroviral treatment (ART) is limited in resource-constrained settings by high cost, suggesting the need for a cost-effective and simplified method to identify HIV-1 drug resistance (HIVDR) mutations. In this study, an amplification refractory mutation system (ARMS)-PCR assay was developed and used to investigate the most frequent HIVDR mutations affecting first-line ART in settings where WHO ART guidelines are applied. Seventy-five HIV-positive (HIV(+)) samples from Cameroon were used to assess the performance of this assay. Sequencing of HIV-1 reverse transcriptase was simultaneously performed for comparison, and discordant samples were tested with a Trugene HIV-1 genotyping kit. The ARMS-PCR assay was able to detect M184V, T215Y/F, K103N, and Y181C mutations with sensitivities of 96.8%, 85.7%, 91.3%, and 70%, respectively, and specificities of 90.6%, 95%, 100%, 96.9%, respectively, compared with data on sequencing. The results indicated the highest positive predictive value for K103N (100%) and the highest negative predictive value for M184V (97.5%). ARMS-PCR's limits of detection for mutations M184V, T215Y/F, K103N, and Y181C were <75 copies/ml, 143 copies/ml, 143 copies/ml, and 836 copies/ml, respectively. ARMS-PCR efficiently identified mutations in individuals harboring different HIV-1 clades (CRF02_AG and non-CRF02_AG). In addition, this approach was more cost-effective than other genotyping assays. The high throughput, the cost-effectiveness, and the simplicity of the ARMS-PCR assay make it a suitable tool to monitor HIVDR patterns in resource-constrained settings with broad HIV-1 genetic diversity.
Copyright © 2015, American Society for Microbiology. All Rights Reserved.

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Year:  2015        PMID: 25788547      PMCID: PMC4400764          DOI: 10.1128/JCM.00114-15

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  34 in total

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Authors:  C R Newton; A Graham; L E Heptinstall; S J Powell; C Summers; N Kalsheker; J C Smith; A F Markham
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Authors:  J Fokam; R Salpini; M M Santoro; V Cento; R D'Arrigo; C Gori; C F Perno; V Colizzi; A Nanfack; L C Gwom; G Cappelli; D Takou
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  8 in total

1.  Multimethod Longitudinal HIV Drug Resistance Analysis in Antiretroviral-Therapy-Naive Patients.

Authors:  Aubin J Nanfack; Andrew D Redd; Jude S Bimela; Genesis Ncham; Emmanuel Achem; Andrew N Banin; Allison R Kirkpatrick; Stephen F Porcella; Lucy A Agyingi; Josephine Meli; Vittorio Colizzi; Arthur Nádas; Miroslaw K Gorny; Phillipe N Nyambi; Thomas C Quinn; Ralf Duerr
Journal:  J Clin Microbiol       Date:  2017-06-28       Impact factor: 5.948

2.  Predictors of poor retention on antiretroviral therapy as a major HIV drug resistance early warning indicator in Cameroon: results from a nationwide systematic random sampling.

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7.  Antiretroviral Imprints and Genomic Plasticity of HIV-1 pol in Non-clade B: Implications for Treatment.

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  8 in total

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