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Ex vivo analysis identifies effective HIV-1 latency-reversing drug combinations

Authors :
Laird, Gregory M.
Bullen, C. Korin
Rosenbloom, Daniel I.S.
Martin, Alyssa R.
Hill, Alison L.
Durand, Christine M.
Siliciano, Janet D.
Siliciano, Robert F.
Source :
Journal of Clinical Investigation. May 1, 2015, p1901, 12 p.
Publication Year :
2015

Abstract

Reversal of HIV-1 latency by small molecules is a potential cure strategy. This approach will likely require effective drug combinations to achieve high levels of latency reversal. Using resting [CD4.sup.+] T cells (rCD4s) from infected individuals, we developed an experimental and theoretical framework to identify effective latency-reversing agent (LRA) combinations. Utilizing ex vivo assays for intracellular HIV-1 mRNA and virion production, we compared 2-drug combinations of leading candidate LRAs and identified multiple combinations that effectively reverse latency. We showed that protein kinase C agonists in combination with bromodomain inhibitor JQ1 or histone deacetylase inhibitors robustly induce HIV-1 transcription and virus production when directly compared with maximum reactivation by T cell activation. Using the Bliss independence model to quantitate combined drug effects, we demonstrated that these combinations synergize to induce HIV-1 transcription. This robust latency reversal occurred without release of proinflammatory cytokines by rCD4s. To extend the clinical utility of our findings, we applied a mathematical model that estimates in vivo changes in plasma HIV-1 RNA from ex vivo measurements of virus production. Our study reconciles diverse findings from previous studies, establishes a quantitative experimental approach to evaluate combinatorial LRA efficacy, and presents a model to predict in vivo responses to LRAs.<br />Introduction HIV-1 persists in a latent reservoir despite suppressive antiretroviral therapy (ART) (1-5). Resting [CD4.sup.+] T cells (rCD4s) that harbor latent proviruses allow little to no HIV-1 gene expression (6), [...]

Details

Language :
English
ISSN :
00219738
Database :
Gale General OneFile
Journal :
Journal of Clinical Investigation
Publication Type :
Academic Journal
Accession number :
edsgcl.417895787
Full Text :
https://doi.org/10.1172/JCI80142