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Usage Information

HIV-1 latency reversal agent boosting is not limited by opioid use
Tyler Lilie, Jennifer Bouzy, Archana Asundi, Jessica Taylor, Samantha Roche, Alex Olson, Kendyll Coxen, Heather Corry, Hannah Jordan, Kiera Clayton, Nina Lin, Athe Tsibris
Tyler Lilie, Jennifer Bouzy, Archana Asundi, Jessica Taylor, Samantha Roche, Alex Olson, Kendyll Coxen, Heather Corry, Hannah Jordan, Kiera Clayton, Nina Lin, Athe Tsibris
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Research Article AIDS/HIV Immunology

HIV-1 latency reversal agent boosting is not limited by opioid use

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Abstract

Opioid use may affect the HIV-1 reservoir and its reversal from latency. We studied 47 virally suppressed people with HIV (PWH) and observed that lower concentration of HIV-1 latency reversal agents (LRAs), used with small molecules that did not reverse latency, synergistically increased the magnitude of HIV-1 reactivation ex vivo, regardless of opioid use. This LRA boosting, which combined a second mitochondria-derived activator of caspases mimetic or low-dose PKC agonist with histone deacetylase inhibitors, generated more unspliced HIV-1 transcription than PMA with ionomycin (PMAi), the maximal known HIV-1 reactivator. LRA boosting associated with greater histone acetylation, modulated surface activation-induced markers, and altered T cell production of TNF-α, IL-2, and IFN-γ. HIV-1 reservoirs in PWH contained unspliced and polyadenylated virus mRNA, the ratios of which were greater in resting than total CD4+ T cells and corrected to 1:1 with PMAi exposure. We characterized treated suppressed HIV-1 infection as a period of inefficient, not absent, virus transcription. Multiply spliced HIV-1 transcripts and virion production did not consistently increase with LRA boosting, suggesting the presence of a persistent posttranscriptional block. LRA boosting can be leveraged to probe mechanisms of an effective cellular HIV-1 latency reversal program.

Authors

Tyler Lilie, Jennifer Bouzy, Archana Asundi, Jessica Taylor, Samantha Roche, Alex Olson, Kendyll Coxen, Heather Corry, Hannah Jordan, Kiera Clayton, Nina Lin, Athe Tsibris

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Usage data is cumulative from July 2025 through July 2026.

Usage JCI PMC
Text version 1,961 129
PDF 307 24
Figure 767 0
Table 97 0
Supplemental data 245 2
Citation downloads 239 0
Totals 3,616 155
Total Views 3,771

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.

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