Transmitted HIV‐1 drug resistance in a large international cohort using next‐generation sequencing: results from the Strategic Timing of Antiretroviral Treatment (START) study. Issue 5 (25th December 2020)

• Record Type: Journal Article
• Authors: Baxter, JD; Dunn, D; Tostevin, A; Marvig, RL; Bennedbæk, M; Cozzi‐Lepri, A; Sharma, S; Kozal, MJ; Gompels, M; Pinto, AN; Lundgren, J
• Is Part Of: HIV medicine. Volume 22:Issue 5(2021)
• Page Start: 360
• Page End: 371
• Publication Date: 2020-12-25
• Subjects: antiretroviral therapy -- HIV drug resistance -- HIV -- next‐generation sequencing; HIV infections -- Treatment -- Periodicals; HIV-positive persons -- Periodicals; HIV infections -- Treatment -- Decision making -- Periodicals; 616.9792
• DOI: 10.1111/hiv.13038
• Languages: English
• ISSNs: 1464-2662

Abstract

Abstract : Objectives: The aim of this analysis was to characterize transmitted drug resistance (TDR) in Strategic Timing of Antiretroviral Treatment (START) study participants by next‐generation sequencing (NGS), a sensitive assay capable of detecting low‐frequency variants. Methods: Stored plasma from participants with entry HIV RNA > 1000 copies/mL were analysed by NGS (Illumina MiSeq). TDR was based on the WHO 2009 surveillance definition with the addition of reverse transcriptase (RT) mutations T215N and E138K, and integrase strand transfer inhibitor (INSTI) surveillance mutations (Stanford HIVdb). Drug resistance mutations (DRMs) detected at three thresholds are reported: > 2%, 5% and 20% of the viral population. Results: Between 2009 and 2013, START enrolled 4684 antiretroviral therapy (ART)‐naïve individuals in 35 countries. Baseline NGS data at study entry were available for 2902 participants. Overall prevalence rates of TDR using a detection threshold of 2%/5%/20% were 9.2%/5.6%/3.2% for nucleoside reverse transcriptase inhibitors (NRTIs), 9.2%/6.6%/4.9% for non‐NRTIs, 11.4%/5.5%/2.4% for protease inhibitors (PIs) and 3.5%/1.6%/0.1% for INSTI DRMs and varied by geographic region. Using the 2% detection threshold, individual DRMs with the highest prevalence were: PI M46IL (5.5%), RT K103NS (3.5%), RT G190ASE (3.1%), T215ISCDVEN (2.5%), RT M41L (2.2%), RT K219QENR (1.7%) and PI D30N (1.6%). INSTI DRMs were detected almost exclusively below the 20% detection threshold, most commonly Y143H (0.4%), Q148R (0.4%) and T66I (0.4%). Conclusions: Use of NGS in this study population resulted in the detection of a large proportion of low‐level variants which would not have been detected by traditional Sanger sequencing. Global surveillance studies utilizing NGS should provide a more comprehensive assessment of TDR prevalence in different regions of the world.