Added Value of Next Generation Sequencing in Characterizing the Evolution of HIV-1 Drug Resistance in Kenyan Youth

Author:

Novitsky Vlad1,Nyandiko Winstone23,Vreeman Rachel245,DeLong Allison K.6,Howison Mark7ORCID,Manne Akarsh1,Aluoch Josephine2,Chory Ashley4ORCID,Sang Festus2ORCID,Ashimosi Celestine2,Jepkemboi Eslyne2,Orido Millicent2,Hogan Joseph W.26,Kantor Rami1ORCID

Affiliation:

1. Alpert Medical School, Brown University, Providence, RI 02912, USA

2. Academic Model Providing Access to Healthcare (AMPATH), Eldoret 30100, Kenya

3. College of Health Sciences, Moi University, Eldoret 30100, Kenya

4. Department of Global Health and Health System Design, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA

5. Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA

6. School of Public Health, Brown University, Providence, RI 02912, USA

7. Research Improving People’s Lives, Providence, RI 02903, USA

Abstract

Drug resistance remains a global challenge in children and adolescents living with HIV (CALWH). Characterizing resistance evolution, specifically using next generation sequencing (NGS) can potentially inform care, but remains understudied, particularly in antiretroviral therapy (ART)-experienced CALWH in resource-limited settings. We conducted reverse-transcriptase NGS and investigated short-and long-term resistance evolution and its predicted impact in a well-characterized cohort of Kenyan CALWH failing 1st-line ART and followed for up to ~8 years. Drug resistance mutation (DRM) evolution types were determined by NGS frequency changes over time, defined as evolving (up-trending and crossing the 20% NGS threshold), reverting (down-trending and crossing the 20% threshold) or other. Exploratory analyses assessed potential impacts of minority resistance variants on evolution. Evolution was detected in 93% of 42 participants, including 91% of 22 with short-term follow-up, 100% of 7 with long-term follow-up without regimen change, and 95% of 19 with long-term follow-up with regimen change. Evolving DRMs were identified in 60% and minority resistance variants evolved in 17%, with exploratory analysis suggesting greater rate of evolution of minority resistance variants under drug selection pressure and higher predicted drug resistance scores in the presence of minority DRMs. Despite high-level pre-existing resistance, NGS-based longitudinal follow-up of this small but unique cohort of Kenyan CALWH demonstrated continued DRM evolution, at times including low-level DRMs detected only by NGS, with predicted impact on care. NGS can inform better understanding of DRM evolution and dynamics and possibly improve care. The clinical significance of these findings should be further evaluated.

Funder

National Institutes of Allergy and Infectious Diseases at the National Institutes of Health

Publisher

MDPI AG

Subject

Virology,Infectious Diseases

Reference41 articles.

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2. (2023, May 19). UNAIDS Fact Sheet 2022. Available online: https://www.unaids.org/sites/default/files/media_asset/UNAIDS_FactSheet_en.pdf.

3. WHO (2022, July 26). HIV Drug Resistance Report 2021. Available online: https://www.who.int/publications/i/item/9789240038608.

4. WHO (2023, April 11). HIV Drug Resistance Strategy, 2021 Update. Available online: https://www.who.int/publications/i/item/9789240030565.

5. HIV-1 drug resistance and resistance testing;Clutter;Infect. Genet. Evol.,2016

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