Development of a latency model based on HIV-1 subtype C to study how long terminal repeat genetic variation impacts viral persistence and latency reversal

Abstract

Most people living with HIV (PLWH) reside in sub-Saharan Africa. South Africa is the epicentre where 98% of HIV-1 infections are subtype C. However, partially due to unavailability of non-subtype B latency models, most studies of HIV-1 latency and cure have focused on HIV-1 subtype B (HIV-1B) which predominates Europe and USA. Moreover, the effect of inter- and intra-subtype genetic variation of the viral promoter, long terminal repeat (LTR), from PLWH on latency reversal is unknown. We constructed a retroviral vector expressing green fluorescent protein and HIV-1 subtype C (HIV-1C) consensus Tat protein under the control of either HIV-1C consensus or PLWH-derived transmitted/founder (T/F) LTR, produced respective LTR pseudotyped viruses, infected Jurkat E6 and primary CD4+ T cells in vitro, enriched for latently infected cells, and treated these cells with different latency reversing agents. We show that the HIV-1C LTR exhibited lower reactivation compared to HIV-1B. Furthermore, HIV-1C T/F LTR pseudotyped proviral variants with four NF-{kappa}B motifs exhibited lower reactivation compared to those with three NF-{kappa}B motifs. Our data indicate that inter- and intra-subtype HIV-1 LTR genetic variation in combination with host variation modulates latency reversal. Author summaryAntiretroviral therapy (ART) suppresses HIV-1 replication, but it is not curative due to a persistent latent reservoir established early in infection. Although HIV-1 subtype C (HIV-1C) is responsible for about 50% of global and 98% of southern Africa infections, it is underrepresented in HIV-1 cure studies. The unavailability of non-subtype B latency models has led to most studies on HIV-1 latency and cure focusing on HIV-1 subtype B (HIV-1B) which predominates in western countries. The viral promoter, long terminal repeat (LTR) drives viral gene transcription and is important for the HIV-1 life cycle. In this study we undertook to develop a latency model based on HIV-1 subtype C to investigate the effect of inter- and intra- LTR genetic variation on viral persistence and latency reversal. Our data show that the HIV-1C LTR exhibited lower reactivation compared to HIV-1B. Furthermore, HIV-1C T/F LTR pseudotyped proviral variants with four NF-{kappa}B motifs exhibited lower reactivation compared to those with three NF-{kappa}B motifs. Taken together, our data suggest that inter- and intra-subtype HIV-1 LTR genetic variation in combination with host variation modulates latency reversal.