HIV evolution and diversity in ART-treated patients.
Gert van ZylMichael J BaleMary F KearneyPublished in: Retrovirology (2018)
Characterizing HIV genetic diversity and evolution during antiretroviral therapy (ART) provides insights into the mechanisms that maintain the viral reservoir during ART. This review describes common methods used to obtain and analyze intra-patient HIV sequence data, the accumulation of diversity prior to ART and how it is affected by suppressive ART, the debate on viral replication and evolution in the presence of ART, HIV compartmentalization across various tissues, and mechanisms for the emergence of drug resistance. It also describes how CD4+ T cells that were likely infected with latent proviruses prior to initiating treatment can proliferate before and during ART, providing a renewable source of infected cells despite therapy. Some expanded cell clones carry intact and replication-competent proviruses with a small fraction of the clonal siblings being transcriptionally active and a source for residual viremia on ART. Such cells may also be the source for viral rebound after interrupting ART. The identical viral sequences observed for many years in both the plasma and infected cells of patients on long-term ART are likely due to the proliferation of infected cells both prior to and during treatment. Studies on HIV diversity may reveal targets that can be exploited in efforts to eradicate or control the infection without ART.
Keyphrases
- antiretroviral therapy
- hiv infected
- hiv positive
- human immunodeficiency virus
- hiv aids
- hiv infected patients
- induced apoptosis
- end stage renal disease
- sars cov
- newly diagnosed
- genetic diversity
- hiv testing
- cell cycle arrest
- signaling pathway
- chronic kidney disease
- hepatitis c virus
- single cell
- gene expression
- case report
- stem cells
- autism spectrum disorder
- endoplasmic reticulum stress
- men who have sex with men
- dna methylation
- mesenchymal stem cells
- patient reported outcomes
- peritoneal dialysis
- intellectual disability
- genome wide
- big data