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Adawaye C, Fokam J, Kamangu EN, Ngwese DTA, Susin F, Moussa AM, Hig-Zounet B, Mad-Toingué J, Tidjani A, Vaira D, Moutschen M. Performance characteristics of Allele-Specific PCR (ASPCR) in detecting drug resistance mutations among non-B HIV-1 Variants. J Virol Methods 2024; 323:114856. [PMID: 38000668 DOI: 10.1016/j.jviromet.2023.114856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Accepted: 11/20/2023] [Indexed: 11/26/2023]
Abstract
Allele-Specific Polymerase Chain Reaction (ASPCR) is an affordable point-mutation assay whose validation could improve the detection of HIV-1 drug resistance mutations (DRMs) in resource-limited settings (RLS). We assessed the performance of ASPCR onforty-four non-B HIV-1 plasma samples from patients who were ARV treated in failure in N'Djamena-Chad. Viral RNA was reverse-transcribed and amplified using LightCycler® FastStart DNA MasterPLUS SYBR Green I. Detection of six major DRMs (K70R, K103N, Y181C, M184V, T215F, T215Y) was evaluated on Roche LightCycler®480 automated system (with dilutions 0.01-100%). ASPCR-results were compared to Sanger-sequencing (gold-standard). Correlations of mutation curves were excellent (R2 >0.97); all DRMs were detected with desirable mutant/wild-type threshold differences (ΔCt≥9) except K70R(ΔCtK70R=6; ΔCtK103N=13; ΔCtM184V=9; ΔCtT215F=12; ΔCtT215Y=12; ΔCtY181C=9) and positive controls were below required thresholds. Also, ASPCR reproducibility on DRMs was assessed by using dilutions of intra-assay and inter-assay coefficient of variations respectively with a threshold of less than 50(i.e.<0.50 variation) which are;: K70R (0.02-0.28 vs. 0.12-0.37), K103N (0.08-0.42 vs. 0.12-0.37), Y181C (0.12-0.39 vs. 0.31-0.37), M184V (0.13-0.39 vs. 0.23-0.42), T215F (0.05-0.43 vs. 0.04-0.45) and T215Y (0.13-0.41 vs. 0.19-0.41). DRM detection-rate by ASPCR vs Sanger was respectively: M184V (63.6% vs. 38.6%); T215F (18.1% vs. 9.1%); T215Y (6.8% vs. 2.3%); K70R (4.5% vs. 2.3%). K103N (22.7% vs. 13.6%); Y181C (13.6% vs. 11.4%). Correlations of mutation curves were excellent (R2 >0.97); all DRMs were detected with desirable mutant/wild-type threshold differences (ΔCt≥9) except K70R(ΔCtK70R=6; ΔCtK103N=13; ΔCtM184V=9; ΔCtT215F=12; ΔCtT215Y=12; ΔCtY181C=9) and positive controls were below required thresholds. Also, ASPCR reproducibility on DRMs was assessed by using dilutions of intra-assay and inter-assay coefficient of variations respectively with a threshold of less than 50(i.e.<0.50 variation) which are;: K70R (0.02-0.28 vs. 0.12-0.37), K103N (0.08-0.42 vs. 0.12-0.37), Y181C (0.12-0.39 vs. 0.31-0.37), M184V (0.13-0.39 vs. 0.23-0.42), T215F (0.05-0.43 vs. 0.04-0.45) and T215Y (0.13-0.41 vs. 0.19-0.41). DRM detection-rate by ASPCR vs Sanger was respectively: M184V (63.6% vs. 38.6%); T215F (18.1% vs. 9.1%); T215Y (6.8% vs. 2.3%); K70R (4.5% vs. 2.3%). K103N (22.7% vs. 13.6%); Y181C (13.6% vs. 11.4%). ASPCR appears more efficient for detecting DRMs on diverse HIV-1 non-B circulating in RLS like Chad.
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Affiliation(s)
- Chatté Adawaye
- National Institute of Sciences and Techniques of Abeche (INSTA), Abeche, Chad; Infectious Diseases and Internal Medicine Service, University Hospital Center of Liège, Liège, Belgium.
| | - Joseph Fokam
- Virology Laboratory, Chantal BIYA International Reference Centre for research on HIV/AIDS prevention and management, Yaoundé, Cameroon; Department of Medical Laboratory Sciences, Faculty of Health Sciences, University of Buea, Cameroon; Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaounde, Cameroon; National HIV Drug Resistance Surveillance and Prevention Working Group (HIVDRWG), Ministry of Public Health, Yaounde, Cameroon.
| | - Erick Ntambwe Kamangu
- Department of Basic Sciences, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo; Infectious Diseases and Internal Medicine Service, University Hospital Center of Liège, Liège, Belgium
| | - Derrick Tambe Ayuk Ngwese
- Virology Laboratory, Chantal BIYA International Reference Centre for research on HIV/AIDS prevention and management, Yaoundé, Cameroon; Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaounde, Cameroon; Infectious Diseases and Internal Medicine Service, University Hospital Center of Liège, Liège, Belgium
| | - Fabrice Susin
- Department of Basic Sciences, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo; Infectious Diseases and Internal Medicine Service, University Hospital Center of Liège, Liège, Belgium
| | - Ali Mahamat Moussa
- AIDS Reference Laboratory of Liege, CHU de Liege, Liege, Belgium; Faculty of Human Health Sciences, University of N'Djamena, N'Djamena, Chad; Infectious Diseases and Internal Medicine Service, University Hospital Center of Liège, Liège, Belgium
| | - BertinTchombou Hig-Zounet
- AIDS Reference Laboratory of Liege, CHU de Liege, Liege, Belgium; Faculty of Human Health Sciences, University of N'Djamena, N'Djamena, Chad; Infectious Diseases and Internal Medicine Service, University Hospital Center of Liège, Liège, Belgium
| | - Joseph Mad-Toingué
- AIDS Reference Laboratory of Liege, CHU de Liege, Liege, Belgium; Faculty of Human Health Sciences, University of N'Djamena, N'Djamena, Chad; Infectious Diseases and Internal Medicine Service, University Hospital Center of Liège, Liège, Belgium
| | - Abdelsalam Tidjani
- AIDS Reference Laboratory of Liege, CHU de Liege, Liege, Belgium; Infectious Diseases and Internal Medicine Service, University Hospital Center of Liège, Liège, Belgium
| | - Dolores Vaira
- Department of Basic Sciences, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo; Infectious Diseases and Internal Medicine Service, University Hospital Center of Liège, Liège, Belgium
| | - Michel Moutschen
- Department of Basic Sciences, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo; National Reference General Hospital, N'Djamena, Chad; Infectious Diseases and Internal Medicine Service, University Hospital Center of Liège, Liège, Belgium
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Evaluation of HIV-1 drug resistance among patients failing first-line antiretroviral therapy in Ethiopia. J Glob Antimicrob Resist 2022; 30:418-427. [DOI: 10.1016/j.jgar.2022.07.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 07/19/2022] [Accepted: 07/20/2022] [Indexed: 11/17/2022] Open
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Gao P, Yu F, Yang X, Li D, Shi Y, Wang Y, Zhang F. Evaluation of a novel in-house HIV-1 genotype drug resistance assay using clinical samples in China. Curr HIV Res 2021; 20:32-41. [PMID: 34515004 PMCID: PMC9127726 DOI: 10.2174/1570162x19666210910144433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 07/08/2021] [Accepted: 08/04/2021] [Indexed: 11/22/2022]
Abstract
Background HIV drug resistance poses a major challenge for anti-retroviral treatment (ART) and the prevention and control of HIV epidemic. Objective The study aims to establish a novel in-house assay with high efficiency, named AP in- house method, that would be suitable for HIV-1 drug resistance detection in China. Methods An in-house HIV-1 genotyping method was used to sequence the partial pol gene from 60 clinical plasma samples; the results of our test were compared with a commercial ViroSeq HIV-1 genotyping system. Results Among sixty samples, 58(96.7%) were successfully amplified by AP in-house method, five of them harbored viral load below 1,000 copies/ml. The genotype distribution was 43.1% CRF07_BC (25/58), 39.7% CRF01_AE (23/58), 6.9% CRF55_01B (4/58), 5.2% subtype B (3/58) and 5.2% CRF08_BC (3/58). Compared with that of the ViroSeq system, the consistent rate of these nucleotides and amino acids obtained by AP in-house method was up to 99.5 ± 0.4% and 99.5 ± 0.4%, respectively. A total of 290 HIV-1 drug resistance mutations were identified by two methods, including 126 nucleoside reverse transcriptase inhibitors (NRTIs), 145 non-nucleoside reverse transcriptase inhibitors (NNRTIs) and 19 protease inhibitors (PIs) resistance mutations. Out of them, 94.1% (273/290) were completely concordant between the AP in-house method and the ViroSeq system. Conclusion Overall, the evaluation of AP in-house method provided comparable results to those of the ViroSeq system on diversified HIV-1 subtypes in China.
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Affiliation(s)
- Peijie Gao
- Beijing Anapure Bioscitific Co. Ltd. Beijing. China
| | - Fengting Yu
- Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital. China
| | | | - Dan Li
- Beijing Anapure Bioscitific Co. Ltd. Beijing. China
| | - Yalun Shi
- Beijing Anapure Bioscitific Co. Ltd. Beijing. China
| | - Yan Wang
- Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital. China
| | - Fujie Zhang
- Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital. China
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Primary resistance to antiretroviral drugs of HIV strains in Chad: a retrospective investigation by analysis of frozen dried blood spot samples. Eur J Clin Microbiol Infect Dis 2020; 40:1091-1095. [PMID: 33237460 DOI: 10.1007/s10096-020-04107-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 11/20/2020] [Indexed: 10/22/2022]
Abstract
No data concerning antiretroviral drug's (ARV) primary resistance mutation rates in Chad are available. We retrospectively analysed frozen-stored dried blood spot samples that were collected from 48 Chadian human immunodeficiency virus (HIV)-1 seropositive patients naïve of ARV. HIV-1 protease and reverse transcriptase genes were successfully sequenced for 24 (60.0%) of the 40 patients displaying a viral load > 1000 copies/ml. Seven (29.2%) displayed mutations conferring resistance against one or more classes of ARV. We evidenced high levels of primary ARV resistance mutations in Chad, but lower than those observed in patients with failure to first-line ARV.
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Vannappagari V, Ragone L, Henegar C, van Wyk J, Brown D, Demarest J, Quercia R, St Clair M, Underwood M, Gatell JM, de Ruiter A, Aboud M. Prevalence of pretreatment and acquired HIV-1 mutations associated with resistance to lamivudine or rilpivirine: a systematic review. Antivir Ther 2020; 24:393-404. [PMID: 31503008 DOI: 10.3851/imp3331] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/17/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND Pretreatment and acquired drug resistance mutations (DRMs) can limit antiretroviral therapy effectiveness. METHODS We review prevalence of DRMs with resistance to nucleoside reverse transcriptase inhibitors (NRTIs) and non-nucleoside reverse transcriptase inhibitors (NNRTIs), focusing on lamivudine and rilpivirine, from 127 articles with >100,000 individuals with HIV-1 infection. RESULTS Estimated global prevalence of pretreatment resistance to any NRTI was 4% and to any NNRTI was 6%. Most prevalent DRMs resistant to lamivudine or rilpivirine were at positions E138 (4%), V179 (1%) and M184 (1%). Estimated acquired DRM prevalence was 58% for any NRTIs and 67% for any NNRTIs, most frequently at positions M184 (58%) and Y181 (21%). CONCLUSIONS This review suggests low risk of lamivudine- or rilpivirine-resistant mutations in treatment-naive, HIV-1-infected individuals.
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Affiliation(s)
| | - Leigh Ragone
- ViiV Healthcare, Research Triangle Park, NC, USA
| | | | | | | | | | | | | | | | - Jose M Gatell
- Hospital Clinic/IDIBAPS, University of Barcelona, Barcelona, Spain.,ViiV Healthcare, Barcelona, Spain
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Junqueira DM, Wilkinson E, Vallari A, Deng X, Achari A, Yu G, McArthur C, Kaptue L, Mbanya D, Chiu C, Cloherty GA, de Oliveira T, Rodgers MA. New Genomes from the Congo Basin Expand History of CRF01_AE Origin and Dissemination. AIDS Res Hum Retroviruses 2020; 36:574-582. [PMID: 32281388 PMCID: PMC7398440 DOI: 10.1089/aid.2020.0031] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
Although the first HIV circulating recombinant form (CRF01_AE) is the predominant strain in many Asian countries, it is uncommonly found in the Congo Basin from where it first originated. To fill the gap in the evolutionary history of this important strain, we sequenced near complete genomes from HIV samples with subgenomic CRF01_AE regions collected in Cameroon and the Democratic Republic of the Congo from 2001 to 2006. HIV genomes were generated from N = 13 plasma specimens by next-generation sequencing of metagenomic libraries prepared with spiked primers targeting HIV, followed by Sanger gap-filling. Genome sequences were aligned to reference strains, including Asian and African CRF01_AE sequences, and evaluated by phylogenetic and recombinant analysis to identify four CRF01_AE strains from Cameroon. We also identified two CRF02, one CRF27, and six unique recombinant form genomes (01|A1|G, 01|02|F|U, F|G|01, A1|D|01, F|G|01, and A1|G|01). Phylogenetic analysis, including the four new African CRF01_AE genomes, placed these samples as a bridge between basal Central African Republic CRF01_AE strains and all Asian, European, and American CRF01_AE strains. Molecular dating confirmed previous estimates indicating that the most recent common CRF01_AE ancestor emerged in the early 1970s (1968–1970) and spread beyond Africa around 1980 to Asia. The new sequences and analysis presented in this study expand the molecular history of the CRF01_AE clade, and are illustrated in an interactive Next Strain phylogenetic tree, map, and timeline at (https://nextstrain.org/community/EduanWilkinson/hiv-1_crf01).
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Affiliation(s)
- Dennis Maletich Junqueira
- Centro Universitário Ritter dos Reis-UniRitter, Porto Alegre, Brazil
- KwaZulu-Natal Research Innovation Sequencing Platform (KRISP), University of KwaZulu-Natal, Durban, Republic of South Africa
- School of Laboratory Medicine and Medical Science, College of Health Sciences, University of KwaZulu-Natal, Durban, Republic of South Africa
| | - Eduan Wilkinson
- KwaZulu-Natal Research Innovation Sequencing Platform (KRISP), University of KwaZulu-Natal, Durban, Republic of South Africa
- School of Laboratory Medicine and Medical Science, College of Health Sciences, University of KwaZulu-Natal, Durban, Republic of South Africa
| | - Ana Vallari
- Abbott Diagnostics, Infectious Disease Research, Abbott Park, Illinois, USA
| | - Xianding Deng
- Department of Laboratory Medicine, University of California, San Francisco, California, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, California, USA
| | - Asmeeta Achari
- Department of Laboratory Medicine, University of California, San Francisco, California, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, California, USA
| | - Guixia Yu
- Department of Laboratory Medicine, University of California, San Francisco, California, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, California, USA
| | - Carole McArthur
- School of Dentistry and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri, USA
| | | | - Dora Mbanya
- Université de Yaoundé I, Yaoundé, Cameroon
- University of Bamenda, Bamenda, Cameroon
| | - Charles Chiu
- Department of Laboratory Medicine, University of California, San Francisco, California, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, California, USA
- Division of Infectious Diseases, Department of Medicine, University of California, San Francisco, California, USA
| | - Gavin A. Cloherty
- Abbott Diagnostics, Infectious Disease Research, Abbott Park, Illinois, USA
| | - Tulio de Oliveira
- KwaZulu-Natal Research Innovation Sequencing Platform (KRISP), University of KwaZulu-Natal, Durban, Republic of South Africa
- School of Laboratory Medicine and Medical Science, College of Health Sciences, University of KwaZulu-Natal, Durban, Republic of South Africa
- Research Department of Infection, University College London, London, United Kingdom
| | - Mary A. Rodgers
- Abbott Diagnostics, Infectious Disease Research, Abbott Park, Illinois, USA
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