RESUMO
The pathogenesis of HIV-1 infection is governed by a highly dynamic, time-dependent interaction between the host and the viral genome. In this study, we developed a novel systematic approach to assess the host-virus interaction, using average pairwise viral diversity as a proxy for time since infection, and applied this method to nearly whole viral genome sequences (n = 4,464), human leukocyte antigen (HLA) genotyping data (n = 1,044), and viral RNA load (VL) measurements during the untreated chronic phase (n = 829) of Swiss HIV Cohort Study participants. Our systematic genome-wide screen revealed for 98 HLA/viral-variant pairs a signature of immune-driven selection in the form of an HLA-dependent effect of infection time on the presence of HIV amino acid variants. Of these pairs, 12 were found to have an effect on VL. Furthermore, 28/58 pairs were validated by time-to-event analyses and 48/92 by computational HLA-epitope predictions. Our diversity-based approach allows a powerful and systematic investigation of the interaction between the virus and cellular immunity, revealing a notable subset of such interaction effects. From an evolutionary perspective, these observations underscore the complexity of HLA-mediated selection pressures on the virus that shape viral evolution and pathogenesis.
Assuntos
Genoma Viral , Infecções por HIV , HIV-1 , Antígenos HLA , Humanos , HIV-1/genética , HIV-1/imunologia , Infecções por HIV/imunologia , Infecções por HIV/virologia , Infecções por HIV/genética , Antígenos HLA/genética , Antígenos HLA/imunologia , Variação Genética , Carga Viral , Estudos de Coortes , Seleção Genética , Interações Hospedeiro-Patógeno/genética , Interações Hospedeiro-Patógeno/imunologiaRESUMO
HIV-1 RNA genetic diversity predicts time since infection, which is important for clinical care and research. It is unclear, however, whether proviral DNA genetic diversity sampled under suppressive antiretroviral therapy can be used for this purpose. We tested whether proviral genetic diversity from next-generation sequencing predicts time since infection and recency in 221 people with HIV-1 with known infection time. Proviral diversity was significantly associated with time since infection (P < 5×10-7, R2 up to 25%) and predictive of treatment initiation during recent infection (area under the curve-receiver operating characteristic up to 0.85). This shows the utility of proviral genetic diversity as a proxy for time since infection.