Induction of innate immune responses reverses HIV cognitive disease in mice: profile by RNAseq in the brain
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ABSTRACT:
PROVIDER: PRJNA1030423 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
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| SRR26454701_1.fastq.gz | Fastqsanger.gz | |||
| SRR26454701_2.fastq.gz | Fastqsanger.gz | |||
| SRR26454702_1.fastq.gz | Fastqsanger.gz | |||
| SRR26454702_2.fastq.gz | Fastqsanger.gz | |||
| SRR26454703_1.fastq.gz | Fastqsanger.gz |
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Project description:The extent of HIV immunodeficiency and related diseases has been greatly reduced by suppressive antiretroviral therapy but roughly 50% of infected people continue to develop mild neurocognitive disorder. We established an experimental approach to investigate HIV brain disease by infection of wildtype mice with the chimeric HIV, EcoHIV. The toll-like receptor 3 ligand, polyinosinic-polycytodylic acid (poly I:C), was used to induce innate immune responses prior to or during EcoHIV infection resulting in prevention of infection or reduced virus burden and reversed behavioral disease, respectively. Here we employed RNAseq to profile brain gene expression in EcoHIV infected mice at the time of cognitive impairment and its reversal in infected, poly I:C treated mice. We confirmed RNAseq findings by QPCR of a small set of transcripts. The major pathways down-regulated by infection involved neuronal function and this dysregulation was largely reversed by poly I:C treatment. Innate immune responses were the major functional pathways induced in infected, poly I:C treated mice that were absent in infected, untreated mice. Our findings provide a framework to identify essential brain cell genes dysregulated by HIV infection and identify a complementary set of immune response genes that block infection and its associated brain disease.
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Project description:This SuperSeries is composed of the following subset Series: GSE22768: Systems analysis of the Merck Ad5/HIV vaccine reveals robust induction of a core innate immune gene network: in vivo analysis GSE22769: Systems analysis of the Merck Ad5/HIV vaccine reveals robust induction of a core innate immune gene network: in vitro analysis To better understand how innate immune responses to vaccination can lead to lasting protective immunity, we used a systems approach to define immune signatures in humans over 1 wk following MRKAd5/HIV vaccination that predicted subsequent HIV-specific T-cell responses. Within 24 h, striking increases in peripheral blood mononuclear cell gene expression associated with inflammation, IFN response, and myeloid cell trafficking occurred, and lymphocyte-specific transcripts decreased. These alterations were corroborated by marked serum inflammatory cytokine elevations and egress of circulating lymphocytes. Responses of vaccinees with preexisting adenovirus serotype 5 (Ad5) neutralizing antibodies were strongly attenuated, suggesting that enhanced HIV acquisition in Ad5-seropositive subgroups in the Step Study may relate to the lack of appropriate innate activation rather than to increased systemic immune activation. Importantly, patterns of chemoattractant cytokine responses at 24 h and alterations in 209 peripheral blood mononuclear cell transcripts at 72 h were predictive of subsequent induction and magnitude of HIV-specific CD8(+) T-cell responses. This systems approach provides a framework to compare innate responses induced by vectors, as shown here by contrasting the more rapid, robust response to MRKAd5/HIV with that to yellow fever vaccine. When applied iteratively, the findings may permit selection of HIV vaccine candidates eliciting innate immune response profiles more likely to drive HIV protective immunity. Refer to individual Series
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Project description:Chronic immune activation is a hallmark of human immunodeficiency virus (HIV) infection and the best prognostic indicator of disease progression. Suppressing HIV viremia by antiretroviral therapy (ART) restores normal immune response and effectively prolongs life. In HIV-infected individuals who are coinfected with hepatitis C virus (HCV) the immune system is activated despite effective HIV antiretroviral therapy controlling viral load. Here we examined CD14+ monocyte gene expression by high-density microarray analysis and T cell subsets, CD4 and CD8, by flow cytometry to characterize immune activation in monoinfected HCV, monoinfected HIV and HIV/HCV coinfected subjects with undetected HIV viral load. To determine the impact of coinfection on cognition, subjects were evaluated in 7 domains for neuropsychological (NP) performance, which was summarized as global deficit scores (GDS). Gene expression analysis of CD14+ monocytes from coinfected subjects revealed an elevated type 1 interferon (IFN) response profile unique to coinfection. For both CD4 and CD8 T cells, coinfection triggered significantly increased expression of activation markers CD38 and HLA-DR. In the coinfected group, mild cognitive impairment was associated with a type 1 IFN monocyte response but not plasma lipopolysaccharide. These observations raise the possibility that cognitive impairment evident in the HIV/HCV population is associated with the IFN response detected in coinfected individuals. Monocytes isolated from healthy controls (n=17), HCV monoinfected (n=19) and HIV/HCV coinfected (n=17) were analyzed for gene expression using high-density microarrays. Whole blood was collected in Vacutainer CPT tubes (BD Biosciences) and PBMCs were enriched by centrifugation. Typically, three million CD14+ monocytes were isolated from 30 ml of whole blood using an anti-CD14 monoclonal antibody immunomagnetic - ferrous bead conjugate according to the manufacturer’s instructions (Miltenyi Biotech). Monocyte purity exceeded 97% with <1% T or B cell contamination as determined by flow cytometry. Monocyte RNA was isolated using a Qiagen RNeasy Micro Kit with an RNA integrity value exceeding 9. Complementary DNA was synthesized and labeled with biotin (iExpress iAmplify kit, Applied Microarrays) and hybridized to Codelink Whole Human Genome Bioarrays (55K probes, Applied Microarrays). Slides were scanned (Axon GenePix 4000B, Molecular Devices), analyzed (CodeLink Expression Software Kit v4.1) and microarray data were normalized with loess normalization using R and Bioconductor package. Determination of differential gene expression and multiple testing correction / false discovery rate adjustments were performed using GeneSpring GX 7.3 software package (Agilent). Microarray data was analyzed using a variety of custom data analytic techniques for gene expression profile identification as described previously. Correlations were determined by Spearman rank correlation coefficient.
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