A Switch from Glial to Neuronal Gene Expression Alterations in the Spinal Cord of SIV-infected Macaques on Antiretroviral Therapy.

Despite antiretroviral therapy (ART), HIV-associated peripheral neuropathy remains one of the most prevalent neurologic manifestations of HIV infection. The spinal cord is an essential component of sensory pathways, but spinal cord sampling and evaluation in people with HIV has been very limited, especially in those on ART. The SIV/macaque model allows for assessment of the spinal cord at key time points throughout infection with and without ART. In this study, RNA was isolated from the spinal cord of uninfected, SIV+, and SIV + ART animals to track alterations in gene expression using global RNA-seq. Next, the SeqSeek platform was used to map changes in gene expression to specific cell types. Pathway analysis of differentially expressed genes demonstrated that highly upregulated genes in SIV-infected spinal cord aligned with interferon and viral response pathways. Additionally, this upregulated gene set significantly overlapped with those expressed in myeloid-derived cells including microglia. Downregulated genes were involved in cholesterol and collagen biosynthesis, and TGF-b regulation of extracellular matrix. In contrast, enriched pathways identified in SIV + ART animals included neurotransmitter receptors and post synaptic signaling regulators, and transmission across chemical synapses. SeqSeek analysis showed that upregulated genes were primarily expressed by neurons rather than glia. These findings indicate that pathways activated in the spinal cord of SIV + ART macaques are predominantly involved in neuronal signaling rather than proinflammatory pathways. This study provides the basis for further evaluation of mechanisms of SIV infection + ART within the spinal cord with a focus on therapeutic interventions to maintain synaptodendritic homeostasis.

SIV infection and ARV treatment reshape the transcriptional and epigenetic profile of naïve and memory T cells in vivo.

Human and simian immunodeficiency viruses (HIV and SIV) are lentiviruses that reverse transcribe their RNA genome with subsequent integration into the genome of the target cell. How progressive infection and administration of antiretrovirals (ARVs) longitudinally influence the transcriptomic and epigenetic landscape of particular T cell subsets, and how these may influence the genetic location of integration are unclear. Here, we use RNAseq and ATACseq to study the transcriptomics and epigenetic landscape of longitudinally sampled naïve and memory CD4+ and CD8+ T cells in two species of non-human primates prior to SIV infection, during chronic SIV infection, and after administration of ARVs. We find that SIV infection leads to significant alteration to the transcriptomic profile of all T cell subsets that are only partially reversed by administration of ARVs. Epigenetic changes were more apparent in animals with longer periods of untreated SIV infection and correlated well with changes in corresponding gene expression. Known SIV integration sites did not vary due to SIV status but did contain more open chromatin in rhesus macaque memory T cells, and the expression of proteasome-related genes at the pre-SIV timepoint correlated with subsequent viremia.IMPORTANCEChronic inflammation during progressive human and simian immunodeficiency virus (HIV and SIV) infections leads to significant co-morbidities in infected individuals with significant consequences. Antiretroviral (ARV)-treated individuals also manifest increased levels of inflammation which are associated with increased mortalities. These data will help guide rational development of modalities to reduce inflammation observed in people living with HIV and suggest mechanisms underlying lentiviral integration site preferences.

HIHISIV: a database of gene expression in HIV and SIV host immune response.

In the battle of the host against lentiviral pathogenesis, the immune response is crucial. However, several questions remain unanswered about the interaction with different viruses and their influence on disease progression. The simian immunodeficiency virus (SIV) infecting nonhuman primates (NHP) is widely used as a model for the study of the human immunodeficiency virus (HIV) both because they are evolutionarily linked and because they share physiological and anatomical similarities that are largely explored to understand the disease progression. The HIHISIV database was developed to support researchers to integrate and evaluate the large number of transcriptional data associated with the presence/absence of the pathogen (SIV or HIV) and the host response (NHP and human). The datasets are composed of microarray and RNA-Seq gene expression data that were selected, curated, analyzed, enriched, and stored in a relational database. Six query templates comprise the main data analysis functions and the resulting information can be downloaded. The HIHISIV database, available at  https://hihisiv.github.io , provides accurate resources for browsing and visualizing results and for more robust analyses of pre-existing data in transcriptome repositories.