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Establishment and application of a method of tagged-amplicon deep sequencing for low-abundance drug resistance in HIV-1
In the latest HIV-1 global drug resistance report released by WHO, countries are advised to strengthen pre-treatment monitoring of drug resistance in AIDS patients. In this study, we established an NGS-based segmented amplification HIV-1 drug resistance mutation detection method. The pol region of H...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444182/ https://www.ncbi.nlm.nih.gov/pubmed/36071961 http://dx.doi.org/10.3389/fmicb.2022.895227 |
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author | Li, Yang Han, Leilei Wang, Yanglan Wang, Xiaolin Jia, Lei Li, Jingyun Han, Jingwan Zhao, Jin Li, Hanping Li, Lin |
author_facet | Li, Yang Han, Leilei Wang, Yanglan Wang, Xiaolin Jia, Lei Li, Jingyun Han, Jingwan Zhao, Jin Li, Hanping Li, Lin |
author_sort | Li, Yang |
collection | PubMed |
description | In the latest HIV-1 global drug resistance report released by WHO, countries are advised to strengthen pre-treatment monitoring of drug resistance in AIDS patients. In this study, we established an NGS-based segmented amplification HIV-1 drug resistance mutation detection method. The pol region of HIV-1 was divided into three short fragments for NGS. The entire amplification and sequencing panel were more cost-effective and batched by using the barcode sequence corresponding to the sample. Each parameter was evaluated using samples with known resistance variants frequencies. The nucleotide sequence error rate, amino acid error rate, and noise value of the NGS-based segmented amplification method were both less than 1%. When the threshold was 2%, the consensus sequences of the HIV-1 NL4-3 strain were completely consistent with the Sanger sequences. This method can detect the minimum viral load of the sample at 10(2) copies/ml, and the input frequency and detection frequency of HIV-1 resistance mutations within the range of 1%–100% had good conformity (R(2) = 0.9963; R(2) = 0.9955). This method had no non-specific amplification for Hepatitis B and C. Under the 2% threshold, the incidence of surveillance drug resistance mutations in ART-naive HIV-infected patients was 20.69%, among which NRTIs class resistance mutations were mainly. |
format | Online Article Text |
id | pubmed-9444182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94441822022-09-06 Establishment and application of a method of tagged-amplicon deep sequencing for low-abundance drug resistance in HIV-1 Li, Yang Han, Leilei Wang, Yanglan Wang, Xiaolin Jia, Lei Li, Jingyun Han, Jingwan Zhao, Jin Li, Hanping Li, Lin Front Microbiol Microbiology In the latest HIV-1 global drug resistance report released by WHO, countries are advised to strengthen pre-treatment monitoring of drug resistance in AIDS patients. In this study, we established an NGS-based segmented amplification HIV-1 drug resistance mutation detection method. The pol region of HIV-1 was divided into three short fragments for NGS. The entire amplification and sequencing panel were more cost-effective and batched by using the barcode sequence corresponding to the sample. Each parameter was evaluated using samples with known resistance variants frequencies. The nucleotide sequence error rate, amino acid error rate, and noise value of the NGS-based segmented amplification method were both less than 1%. When the threshold was 2%, the consensus sequences of the HIV-1 NL4-3 strain were completely consistent with the Sanger sequences. This method can detect the minimum viral load of the sample at 10(2) copies/ml, and the input frequency and detection frequency of HIV-1 resistance mutations within the range of 1%–100% had good conformity (R(2) = 0.9963; R(2) = 0.9955). This method had no non-specific amplification for Hepatitis B and C. Under the 2% threshold, the incidence of surveillance drug resistance mutations in ART-naive HIV-infected patients was 20.69%, among which NRTIs class resistance mutations were mainly. Frontiers Media S.A. 2022-08-22 /pmc/articles/PMC9444182/ /pubmed/36071961 http://dx.doi.org/10.3389/fmicb.2022.895227 Text en Copyright © 2022 Li, Han, Wang, Wang, Jia, Li, Han, Zhao, Li and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Li, Yang Han, Leilei Wang, Yanglan Wang, Xiaolin Jia, Lei Li, Jingyun Han, Jingwan Zhao, Jin Li, Hanping Li, Lin Establishment and application of a method of tagged-amplicon deep sequencing for low-abundance drug resistance in HIV-1 |
title | Establishment and application of a method of tagged-amplicon deep sequencing for low-abundance drug resistance in HIV-1 |
title_full | Establishment and application of a method of tagged-amplicon deep sequencing for low-abundance drug resistance in HIV-1 |
title_fullStr | Establishment and application of a method of tagged-amplicon deep sequencing for low-abundance drug resistance in HIV-1 |
title_full_unstemmed | Establishment and application of a method of tagged-amplicon deep sequencing for low-abundance drug resistance in HIV-1 |
title_short | Establishment and application of a method of tagged-amplicon deep sequencing for low-abundance drug resistance in HIV-1 |
title_sort | establishment and application of a method of tagged-amplicon deep sequencing for low-abundance drug resistance in hiv-1 |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444182/ https://www.ncbi.nlm.nih.gov/pubmed/36071961 http://dx.doi.org/10.3389/fmicb.2022.895227 |
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