Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Usage Information

Linked dual-class HIV resistance mutations are associated with treatment failure
Valerie F. Boltz, Wei Shao, Michael J. Bale, Elias K. Halvas, Brian Luke, James A. McIntyre, Robert T. Schooley, Shahin Lockman, Judith S. Currier, Fred Sawe, Evelyn Hogg, Michael D. Hughes, Mary F. Kearney, John M. Coffin, John W. Mellors
Valerie F. Boltz, Wei Shao, Michael J. Bale, Elias K. Halvas, Brian Luke, James A. McIntyre, Robert T. Schooley, Shahin Lockman, Judith S. Currier, Fred Sawe, Evelyn Hogg, Michael D. Hughes, Mary F. Kearney, John M. Coffin, John W. Mellors
View: Text | PDF
Research Article AIDS/HIV

Linked dual-class HIV resistance mutations are associated with treatment failure

  • Text
  • PDF
Abstract

We hypothesized that HIV-1 with dual-class but not single-class drug resistance mutations linked on the same viral genome, present in the virus population before initiation of antiretroviral therapy (ART), would be associated with failure of ART to suppress viremia. To test this hypothesis, we utilized an ultrasensitive single-genome sequencing assay that detects rare HIV-1 variants with linked drug resistance mutations (DRMs). A case (ART failure) control (nonfailure) study was designed to assess whether linkage of DRMs in pre-ART plasma samples was associated with treatment outcome in the nevirapine/tenofovir/emtricitabine arm of the AIDS Clinical Trials Group A5208/Optimal Combined Therapy After Nevirapine Exposure (OCTANE) Trial 1 among women who had received prior single-dose nevirapine. Ultrasensitive single-genome sequencing revealed a significant association between pre-ART HIV variants with DRMs to 2 drug classes linked on the same genome (dual class) and failure of combination ART with 3 drugs to suppress viremia. In contrast, linked, single-class DRMs were not associated with ART failure. We conclude that linked dual-class DRMs present before the initiation of ART are associated with ART failure, whereas linked single-class DRMs are not.

Authors

Valerie F. Boltz, Wei Shao, Michael J. Bale, Elias K. Halvas, Brian Luke, James A. McIntyre, Robert T. Schooley, Shahin Lockman, Judith S. Currier, Fred Sawe, Evelyn Hogg, Michael D. Hughes, Mary F. Kearney, John M. Coffin, John W. Mellors

×

Usage data is cumulative from July 2025 through July 2026.

Usage JCI PMC
Text version 1,847 80
PDF 271 28
Figure 455 6
Table 335 0
Supplemental data 134 0
Citation downloads 289 0
Totals 3,331 114
Total Views 3,445
(Click and drag on plot area to zoom in. Click legend items above to toggle)

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts