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Towards Next-Generation Sequencing for HIV-1 Drug Resistance Testing in a Clinical Setting.
Teo, Calesta Hui Yi; Norhisham, Nurul Hannah Binte; Lee, Ogestelli Fabia; Png, Siyu; Chai, Chean Nee; Yan, Gabriel; Tang, Julian Wei-Tze; Lee, Chun Kiat.
Affiliation
  • Teo CHY; Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
  • Norhisham NHB; School of Life Sciences and Chemical Technology, Ngee Ann Polytechnic, Singapore 599490, Singapore.
  • Lee OF; School of Life Sciences and Chemical Technology, Ngee Ann Polytechnic, Singapore 599490, Singapore.
  • Png S; School of Social Sciences, Nanyang Technological University, Singapore 639818, Singapore.
  • Chai CN; School of Life and Physical Sciences, PSB Academy, Singapore 039594, Singapore.
  • Yan G; Department of Laboratory Medicine, National University Health System, Singapore 119228, Singapore.
  • Tang JW; Department of Laboratory Medicine, National University Health System, Singapore 119228, Singapore.
  • Lee CK; Department of Medicine, National University Health System, Singapore 119228, Singapore.
Viruses ; 14(10)2022 10 07.
Article in En | MEDLINE | ID: mdl-36298763
ABSTRACT
The HIV genotypic resistance test (GRT) is a standard of care for the clinical management of HIV/AIDS patients. In recent decades, population or Sanger sequencing has been the foundation for drug resistance monitoring in clinical settings. However, the advent of high-throughput or next-generation sequencing has caused a paradigm shift towards the detection and characterization of low-abundance covert mutations that would otherwise be missed by population sequencing. This is clinically significant, as these mutations can potentially compromise the efficacy of antiretroviral therapy, causing poor virologic suppression. Therefore, it is important to develop a more sensitive method so as to reliably detect clinically actionable drug-resistant mutations (DRMs). Here, we evaluated the diagnostic performance of a laboratory-developed, high-throughput, sequencing-based GRT using 103 archived clinical samples that were previously tested for drug resistance using population sequencing. As expected, high-throughput sequencing found all the DRMs that were detectable by population sequencing. Significantly, 78 additional DRMs were identified only by high-throughput sequencing, which is statistically significant based on McNemar's test. Overall, our results complement previous studies, supporting the notion that the two methods are well correlated, and the high-throughput sequencing method appears to be an excellent alternative for drug resistance testing in a clinical setting.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / HIV-1 / HIV Seropositivity / Anti-HIV Agents Limits: Humans Language: En Journal: Viruses Year: 2022 Document type: Article Affiliation country: Singapur

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / HIV-1 / HIV Seropositivity / Anti-HIV Agents Limits: Humans Language: En Journal: Viruses Year: 2022 Document type: Article Affiliation country: Singapur