Characterization of minority HIV-1 drug resistant variants in the United Kingdom following the verification of a deep sequencing-based HIV-1 genotyping and tropism assay
Autor: | Dane Winner, Freddie H. Sharkey, Nicholas Silver, Georgina McAllister, Maureen Atchley, David J. Alouani, Mary Paynter, John Short, Christine Sayir, David Carrington, Kicki Bergefall, Kate Templeton, Miguel E. Quiñones-Mateu |
---|---|
Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
lcsh:Immunologic diseases. Allergy Adult Male Minority variants Genes Viral Genotype Deep sequencing Anti-HIV Agents 030106 microbiology Population HIV Infections Viral quasispecies Drug resistance 03 medical and health sciences symbols.namesake Mutation Rate Virology Drug Resistance Viral Medicine Humans Pharmacology (medical) education Genotyping Phylogeny Sanger sequencing education.field_of_study business.industry Research virus diseases Genetic Variation High-Throughput Nucleotide Sequencing Middle Aged Viral Load Subtyping United Kingdom 3. Good health CD4 Lymphocyte Count Viral Tropism symbols HIV-1 Molecular Medicine Female business lcsh:RC581-607 |
Zdroj: | AIDS Research and Therapy AIDS Research and Therapy, Vol 15, Iss 1, Pp 1-18 (2018) |
ISSN: | 1742-6405 |
Popis: | Background The widespread global access to antiretroviral drugs has led to considerable reductions in morbidity and mortality but, unfortunately, the risk of virologic failure increases with the emergence, and potential transmission, of drug resistant viruses. Detecting and quantifying HIV-1 drug resistance has therefore become the standard of care when designing new antiretroviral regimens. The sensitivity of Sanger sequencing-based HIV-1 genotypic assays is limited by its inability to identify minority members of the quasispecies, i.e., it only detects variants present above ~ 20% of the viral population, thus, failing to detect minority variants below this threshold. It is clear that deep sequencing-based HIV-1 genotyping assays are an important step change towards accurately monitoring HIV-infected individuals. Methods We implemented and verified a clinically validated HIV-1 genotyping assay based on deep sequencing (DEEPGEN™) in two clinical laboratories in the United Kingdom: St. George’s University Hospitals Healthcare NHS Foundation Trust (London) and at NHS Lothian (Edinburgh), to characterize minority HIV-1 variants in 109 plasma samples from ART-naïve or -experienced individuals. Results Although subtype B HIV-1 strains were highly prevalent (44%, 48/109), most individuals were infected with non-B subtype viruses (i.e., A1, A2, C, D, F1, G, CRF02_AG, and CRF01_AE). DEEPGEN™ was able to accurately detect drug resistance-associated mutations not identified using standard Sanger sequencing-based tests, which correlated significantly with patient’s antiretroviral treatment histories. A higher proportion of minority PI-, NRTI-, and NNRTI-resistance mutations was detected in NHS Lothian patients compared to individuals from St. George’s, mainly M46I/L and I50 V (associated with PIs), D67 N, K65R, L74I, M184 V/I, and K219Q (NRTIs), and L100I (NNRTIs). Interestingly, we observed an inverse correlation between intra-patient HIV-1 diversity and CD4+ T cell counts in the NHS Lothian patients. Conclusions This is the first study evaluating the transition, training, and implementation of DEEPGEN™ between three clinical laboratories in two different countries. More importantly, we were able to characterize the HIV-1 drug resistance profile (including minority variants), coreceptor tropism, subtyping, and intra-patient viral diversity in patients from the United Kingdom, providing a rigorous foundation for basing clinical decisions on highly sensitive and cost-effective deep sequencing-based HIV-1 genotyping assays in the country. Electronic supplementary material The online version of this article (10.1186/s12981-018-0206-y) contains supplementary material, which is available to authorized users. |
Databáze: | OpenAIRE |
Externí odkaz: | |
Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |