Extensive diversity and impact of drug-resistant HIV-1 variants in individuals with prior virologic failure

HIV-1 drug resistance remains a major challenge to treatment and control efforts, particularly in sub-Saharan Africa (sSA). However, standard resistance genotyping does not adequately capture linked drug resistance mutations within the viral quasispecies that may influence virologic failure (VF). We used a next-generation sequencing primer ID (NGS-Primer ID) assay to characterize linked HIV-1 drug resistance mutations in plasma from participants in the Resistance Testing to Improve Management of Virologic Failure (REVAMP) study who had detectable viremia on first-line non-nucleoside reverse transcriptase inhibitor (NNRTI)-based antiretroviral therapy (ART) and were maintained on NNRTI-based regimens. For each participant, we calculated a weighted genotypic susceptibility score (wGSS) based on the GSS of each reported pattern and its sequence-supported frequency within the sample. Plasma specimens from 108 participants were sequenced. Sanger sequencing showed a median GSS of 1.0 (IQR, 1.0-2.0), whereas NGS-Primer ID identified a median of 10 distinct resistance patterns per participant (IQR, 5-17), with 67% (IQR, 8-92) of reported DRM-pattern frequency within participants corresponding to linked dual-class mutations. A broad spectrum of drug-susceptible and resistant- DRM patterns were observed, with the median difference between the highest and lowest pattern-specific GSS being 2.0 (2.0-2.75). Within each participant, a median of 10% of reported patterns showed less resistance, while 19% showed more resistance compared to that predicted by Sanger sequencing. Individuals with persistent VF had significantly lower wGSS at study entry than those who later achieved virologic re-suppression (median, 1.3 vs 2.1; p < 0.001). NGS-Primer ID revealed substantial intra-host diversity in linked HIV-1 drug resistance patterns that was not captured by conventional Sanger sequencing. Incorporating linked resistance patterns into susceptibility assessment may improve prediction of subsequent virologic failure.

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Journal
PLoS Pathogens
Published
2026-05-12
DOI
https://doi.org/10.1371/journal.ppat.1014118
Primary Topic
HIV/AIDS drug development and treatment
Type
article
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article

Extensive diversity and impact of drug-resistant HIV-1 variants in individuals with prior virologic failure

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PLoS Pathogens
HIV/AIDS drug development and treatment
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Extensive diversity and impact of drug-resistant HIV-1 variants in individuals with prior virologic failure

Jay Brijkumar, Aabida Khan, Lilishia Gounder, Rinki Deo, Melendhran Pillay, Raveen Parboosing, Benjamin Chimukangara, Kerusha Govender, Nokukhanya Msomi, Mary Mick, Henry Sunpath, Zachary T. Herbert, Robert Shafer, Selvan Pillay, Mahomed-Yunus Suleman Moosa, S. Govender, Vincent Marconi, Manish C. Choudhary, Serhiy Naumenko, Suzanne McCluskey, Sontaga C. Manyana, Gregory Edelstein, Behzad Etemad, Shannon Ho Siu, Winnie Muyindike, Pravi Moodley, Jonathan Z. Li, Philip Tzou, Mark J. Siedner, Kerri L. Francois, Trevor J. Tamura
article en

Abstract

HIV-1 drug resistance remains a major challenge to treatment and control efforts, particularly in sub-Saharan Africa (sSA). However, standard resistance genotyping does not adequately capture linked drug resistance mutations within the viral quasispecies that may influence virologic failure (VF). We used a next-generation sequencing primer ID (NGS-Primer ID) assay to characterize linked HIV-1 drug resistance mutations in plasma from participants in the Resistance Testing to Improve Management of Virologic Failure (REVAMP) study who had detectable viremia on first-line non-nucleoside reverse transcriptase inhibitor (NNRTI)-based antiretroviral therapy (ART) and were maintained on NNRTI-based regimens. For each participant, we calculated a weighted genotypic susceptibility score (wGSS) based on the GSS of each reported pattern and its sequence-supported frequency within the sample. Plasma specimens from 108 participants were sequenced. Sanger sequencing showed a median GSS of 1.0 (IQR, 1.0-2.0), whereas NGS-Primer ID identified a median of 10 distinct resistance patterns per participant (IQR, 5-17), with 67% (IQR, 8-92) of reported DRM-pattern frequency within participants corresponding to linked dual-class mutations. A broad spectrum of drug-susceptible and resistant- DRM patterns were observed, with the median difference between the highest and lowest pattern-specific GSS being 2.0 (2.0-2.75). Within each participant, a median of 10% of reported patterns showed less resistance, while 19% showed more resistance compared to that predicted by Sanger sequencing. Individuals with persistent VF had significantly lower wGSS at study entry than those who later achieved virologic re-suppression (median, 1.3 vs 2.1; p < 0.001). NGS-Primer ID revealed substantial intra-host diversity in linked HIV-1 drug resistance patterns that was not captured by conventional Sanger sequencing. Incorporating linked resistance patterns into susceptibility assessment may improve prediction of subsequent virologic failure.

PLoS PathogensVol. 22(5)
National Health Laboratory Service (ZA), Brigham and Women's Hospital (US), Harvard University (US), Mbarara University of Science and Technology (UG), Emory University (US), Massachusetts General Hospital (US), Newborn Screening Ontario (CA), Dana-Farber Cancer Institute (US), Production Management Institute of Southern Africa (ZA), Africa Health Research Institute (ZA), Stanford Medicine (US), University of KwaZulu-Natal (ZA), Stanford University (US)
Good health and well-being
Openalex Percentile: Top 5%
HIV/AIDS drug development and treatment
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