Modeling simian immunodeficiency virus (SIV) latency in primary rhesus macaque CD4 + T cells
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Simian immunodeficiency virus (SIV)-infected rhesus macaques are valuable models for HIV cure research, offering insights into tissue reservoirs and enabling the evaluation of reservoir-reduction strategies. However, low frequencies of latently infected cells in vivo limit mechanistic studies of viral latency ex vivo. While in vitro latency models have advanced our understanding of HIV persistence, comparable models for SIV are lacking. To address this gap, we developed an in vitro model of SIV latency in primary rhesus macaque CD4 + T cells. Our optimized cell culture conditions promote viral entry into CD4 + T cells with minimal cellular activation or proliferation. After 12 days in culture, 1–3.3% of cells harbored SIV DNA, primarily as intact proviruses within central and transitional memory CD4 + T cell subsets. These cells remained quiescent, exhibiting minimal spontaneous viral protein production, but could be reactivated by T-cell stimulation and benchmark latency-reversing agents. Collectively, this model generates SIV-latently infected cells that resemble predominant cellular reservoirs in vivo— quiescent memory CD4 + T cells carrying inducible proviruses. This system provides a platform to investigate mechanisms of SIV latency, identify shared and virus-specific features of HIV and SIV persistence, and evaluate strategies to reactivate viral reservoirs.
Importance
HIV’s ability to persist in a dormant state within CD4 + T cells remains a major obstacle to developing a cure. Rhesus macaques infected with simian immunodeficiency virus (SIV) serve as valuable models for studying HIV, but research on viral persistence is limited by the low frequency of latently infected cells in vivo . While in vitro models have advanced our understanding of HIV latency, comparable tools for studying SIV were not available. To address this gap, we established a model of SIV latency using rhesus macaque CD4 + T cells, mirroring key features of natural reservoirs. This model provides a platform for studying how viral latency is established and maintained, conducting direct comparisons between HIV and SIV infections, and evaluating potential cure strategies.