Timing of initiation of anti-retroviral therapy predicts post-treatment control of SIV replication

Mykola Pinkevych, Steffen S. Docken, Afam A. Okoye, Christine M. Fennessey, Gregory Q. Del Prete, Maria Pino, Justin L. Harper, Michael R. Betts, Mirko Paiardini, Brandon F. Keele, Miles P. Davenport

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

One approach to ‘functional cure’ of HIV infection is to induce durable control of HIV replication after the interruption of antiretroviral therapy (ART). However, the major factors that determine the viral ‘setpoint’ level after treatment interruption are not well understood. Here we combine data on ART interruption following SIV infection for 124 total animals from 10 independent studies across 3 institutional cohorts to understand the dynamics and predictors of post-treatment viral control. We find that the timing of treatment initiation is an important determinant of both the peak and early setpoint viral levels after treatment interruption. During the first 3 weeks of infection, every day of delay in treatment initiation is associated with a 0.22 log10 copies/ml decrease in post-rebound peak and setpoint viral levels. However, delay in initiation of ART beyond 3 weeks of infection is associated with higher postrebound setpoint viral levels. For animals treated beyond 3 weeks post-infection, viral load at ART initiation was the primary predictor of post-rebound setpoint viral levels. Potential alternative predictors of post-rebound setpoint viral loads including cell-associated DNA or RNA, time from treatment interruption to rebound, and pre-interruption CD8+ T cell responses were also examined in the studies where these data were available. This analysis suggests that optimal timing of treatment initiation may be an important determinant of posttreatment control of HIV.

Original languageEnglish (US)
Article numbere1011660
JournalPLoS pathogens
Volume19
Issue number10 October
DOIs
StatePublished - Oct 2023

ASJC Scopus subject areas

  • Parasitology
  • Microbiology
  • Immunology
  • Molecular Biology
  • Genetics
  • Virology

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