Evidence map›Paper›PMID 40826811›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2025

Design and Evaluation of Next-Generation HIV Genotyping for Detection of Resistance Mutations to 28 Antiretroviral Drugs Across 5 Major Classes Including Lenacapavir.

Sung Yong Park, Christian Takayama, Jenica Ryu, Martin Sattah, Zachariah Badii, Ju Won Kim, Robert W Shafer, Pamina M Gorbach, Ha Youn Lee

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Sung Yong ParkDepartment of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Christian TakayamaDepartment of Family Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Jenica RyuRand Schrader Clinic, Los Angeles General Medical Center, Los Angeles, California, USA.
Martin SattahRand Schrader Clinic, Los Angeles General Medical Center, Los Angeles, California, USA.
Zachariah BadiiRand Schrader Clinic, Los Angeles General Medical Center, Los Angeles, California, USA.
Ju Won KimDepartment of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.ORCID 0009-0009-9420-5237
Robert W ShaferDivision of Infectious Diseases, Department of Medicine, Stanford University, Stanford, California, USA.ORCID 0000-0003-2513-2643
Pamina M GorbachDepartment of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, California, USA.ORCID 0000-0003-2100-7765
Ha Youn LeeDepartment of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-7260-2383

Funding

MSM and Substances Cohort at UCLA Linking Infections Noting Effects (MASCULINE) U01DA036267 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GORBACH, PAMINA MAE, SHOPTAW, STEVEN J · 2013 to 2024
$20.5M
HIV Incidence Assay via Deep Sequencing and Statistical TestsR01AI095066 · NIAID · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEE, HA YOUN · 2011 to 2025
$8.4M
HIV Drug Resistance DatabaseR24AI136618 · NIAID · STANFORD UNIVERSITY · PI ROBERT William SHAFER · 2018 to 2026
$7.3M
NIAID NIH HHS R01 AI095066NIAID NIH HHS R24 AI136618NIDA NIH HHS U01 DA036267
6 · The paper itself

Abstract

backgroundThe emergence and spread of human immunodeficiency virus (HIV) drug-resistant strains present a major barrier to effective lifelong antiretroviral therapy. The anticipated rise in long-acting subcutaneous lenacapavir (LEN) use, along with the increased risk of transmitted resistance and pre-exposure prophylaxis-associated resistance, underscore the urgent need for advanced genotyping methods to enhance clinical care and prevention strategies.

methodsWe developed the portable HIV genotyping (PHG) platform, which combines cost-effective next-generation sequencing with cloud computing to screen for resistance to 28 antiretroviral drugs across 5 major classes, including LEN. We analyzed 3 study cohorts and compared our drug-resistance findings with standard-care testing results and high-fidelity sequencing data obtained through unique molecular identifier (UMI) labeling.

resultsPHG identified 2 major LEN-resistance mutations in 1 participant, confirmed by an additional independent sequencing run. Across 3 study cohorts, PHG consistently detected the same drug-resistance mutations as standard-care genotyping and high-fidelity UMI labeling in most tested specimens. PHG's 10% limit of detection minimized false-positive results and enabled identification of minority variants with less than 20% frequency, pointing to underdiagnosis of drug resistance in clinical care. Furthermore, PHG identified linked cross-class resistance mutations, confirmed by UMI labeling, including linked cross-resistance in a participant who reported use of long-acting cabotegravir and rilpivirine. We also observed multiyear persistence of linked cross-class resistance mutations.

conclusionsPHG demonstrates significant improvements over standard-care HIV genotyping, offering deeper insights into LEN resistance, minority variants, and cross-class resistance using a low-cost, high-throughput portable sequencing technology and publicly available cloud computing.

Indexed as

Anti-HIV AgentsAnti-Retroviral AgentsDrug Resistance, ViralGenotyping TechniquesHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsMutationAcetamidesGenotypeHumansIndazolesAcetamidesAnti-HIV AgentsAnti-Retroviral AgentsIndazoleslenacapavircloud computingHIV resistancelenacapavir resistanceportable next-generation sequencing

Identifiers

PMID40826811
PMCPMC12728273

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.