[HTML][HTML] Ex vivo analysis identifies effective HIV-1 latency–reversing drug combinations

GM Laird, CK Bullen, DIS Rosenbloom… - The Journal of …, 2015 - Am Soc Clin Investig
The Journal of clinical investigation, 2015Am Soc Clin Investig
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+ 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 …
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+ 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.
The Journal of Clinical Investigation