26 research outputs found

    Signatures of immune selection in intact and defective proviruses distinguish HIV-1 elite controllers

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    Increasing evidence suggests that durable drug-free control of HIV-1 replication is enabled by effective cellular immune responses that may induce an attenuated viral reservoir configuration with a weaker ability to drive viral rebound. Here, we comprehensively tracked effects of antiviral immune responses on intact and defective proviral sequences from elite controllers (ECs), analyzing both classical escape mutations and HIV-1 chromosomal integration sites as biomarkers of antiviral immune selection pressure. We observed that, within ECs, defective proviruses were commonly located in permissive genic euchromatin positions, which represented an apparent contrast to autologous intact proviruses that were frequently located in heterochromatin regions; this suggests differential immune selection pressure on intact versus defective proviruses in ECs. In comparison to individuals receiving antiretroviral therapy, intact and defective proviruses from ECs showed reduced frequencies of escape mutations in cytotoxic T cell epitopes and antibody contact regions, possibly due to the small and poorly inducible reservoir that may be insufficient to drive effective viral escape in ECs. About 15% of ECs harbored nef deletions in intact proviruses, consistent with increased viral vulnerability to host immunity in the setting of nef dysfunction. Together, these results suggest a distinct signature of immune footprints in proviral sequences from ECs.This work is supported by NIH grants HL134539 (to X.G.Y.), AI155171 (to X.G.Y.), AI116228 (to X.G.Y.), AI078799 (to X.G.Y.), DA047034 (to X.G.Y.), AI150396 (to X.G.Y.), the Bill and Melinda Gates Foundation (INV-002703) (to X.G.Y.), AI114235 (to M.L.), AI117841 (to M.L.), AI120008 (to M.L.), AI130005 (to M.L.), DK120387 (to M.L.), AI152979 (to M.L.), AI135940 (to M.L.), AI155233 (to M.L.), and the American Foundation for AIDS Research (amfAR#110181) (to M.L.). X.G.Y. and M.L. are members of the DARE Collaboratory (UM1AI126611) and the BEAT-HIV Martin Delaney Collaboratory (UM1 AI126620). E.R.-M. was supported by Consejo Superior de Investigaciones CientĂ­ficas (CSIC) and by grant PI19/01127, Instituto de Salud Carlos III, Fondos FEDER, and Consejeria de Transformacion Economica, Industria, Conocimiento y Universidades Junta de Andalucia (P20_01276). Support was also provided by the Harvard University and University of California at San Francisco (UCSF)/Gladstone Institute for HIV Cure Research Centers for AIDS Research (P30 AI060354 and P30 AI027763, respectively), which are supported by the following institutes and centers co-funded by and participating with the U.S. National Institutes of Health: NIAID, NCI, NICHD, NHLBI, NIDA, NIMH, NIA, FIC, and OAR. Additional support for the SCOPE cohort was provided by the Delaney AIDS Research Enterprise (DARE; AI096109 and A127966) and the amfAR Institute for HIV Cure Research (amfAR 109301). The International HIV Controller Cohort is supported by the Bill and Melinda Gates Foundation (OPP1066973), the Ragon Institute of MGH, MIT and Harvard, the NIH (R37 AI067073 to B.D.W.), and the Mark and Lisa Schwartz Family Foundation. This project has been funded in whole or in part with federal funds from the Frederick National Laboratory for Cancer Research, under contract no. HHSN261200800001E. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. government. This research was supported in part by the Intramural Research Program of the NIH, Frederick National Lab, Center for Cancer Research

    Transcriptional Changes during Naturally Acquired Zika Virus Infection Render Dendritic Cells Highly Conducive to Viral Replication

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    Summary: Although dendritic cells are among the human cell population best equipped for cell-intrinsic antiviral immune defense, they seem highly susceptible to infection with the Zika virus (ZIKV). Using highly purified myeloid dendritic cells isolated from individuals with naturally acquired acute infection, we here show that ZIKV induces profound perturbations of transcriptional signatures relative to healthy donors. Interestingly, we noted a remarkable downregulation of antiviral interferon-stimulated genes and innate immune sensors, suggesting that ZIKV can actively suppress interferon-dependent immune responses. In contrast, several host factors known to support ZIKV infection were strongly upregulated during natural ZIKV infection; these transcripts included AXL, the main entry receptor for ZIKV; SOCS3, a negative regulator of ISG expression; and IDO-1, a recognized inducer of regulatory T cell responses. Thus, during in vivo infection, ZIKV can transform the transcriptome of dendritic cells in favor of the virus to render these cells highly conducive to ZIKV infection. : Sun et al. find distinct transcriptional signatures in myeloid dendritic cells isolated from individuals with naturally acquired Zika Virus infection. These data indicate that Zika virus can reprogram dendritic cells to increase their susceptibility to further ZIKV infection. Keywords: Zika virus, flavivirus, interferon stimulated genes, dendritic cells, acute infection, RNA-seq, SOCS3, IDO-1, AX

    Parallel analysis of transcription, integration, and sequence of single HIV-1 proviruses.

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    HIV-1-infected cells that persist despite antiretroviral therapy (ART) are frequently considered transcriptionally silent, but active viral gene expression may occur in some cells, challenging the concept of viral latency. Applying an assay for profiling the transcriptional activity and the chromosomal locations of individual proviruses, we describe a global genomic and epigenetic map of transcriptionally active and silent proviral species and evaluate their longitudinal evolution in persons receiving suppressive ART. Using genome-wide epigenetic reference data, we show that proviral transcriptional activity is associated with activating epigenetic chromatin features in linear proximity of integration sites and in their inter- and intrachromosomal contact regions. Transcriptionally active proviruses were actively selected against during prolonged ART; however, this pattern was violated by large clones of virally infected cells that may outcompete negative selection forces through elevated intrinsic proliferative activity. Our results suggest that transcriptionally active proviruses are dynamically evolving under selection pressure by host factors

    Impact of ATI and reinitiation of ART on HIV reservoirs.

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    <p>(<b>A</b>) Longitudinal measurements of plasma viremia (red triangles) and the frequency of CD4<sup>+</sup> T cells carrying HIV DNA (blue triangles) from study participants are shown. The grey bars indicate duration of ATI. One participant (N04) self-administered antiretroviral drugs for 3 days during the ATI period. (<b>B</b>) Relationship between the level of peak plasma viremia and % increase of the frequency of CD4<sup>+</sup> T cells carrying HIV DNA during the ATI phase over baseline. The % HIV DNA increase was calculated as follows: ((copy number of HIV DNA/10<sup>6</sup> CD4<sup>+</sup> T cells at ATI—copy number of HIV DNA/10<sup>6</sup> CD4<sup>+</sup> T cells at baseline)/copy number of HIV DNA/10<sup>6</sup> CD4<sup>+</sup> T cells at baseline)*100. (<b>C</b>) Kinetics of HIV DNA burden in CD4<sup>+</sup> T cells of 10 study participants prior to ATI (Pre-ATI), during ATI (ATI), and after reinitiation of ART (Post-ATI). (<b>D</b>) Dynamics of cell-associated HIV RNA in CD4<sup>+</sup> T cells of study participants prior to ATI (Pre-ATI) during ATI (ATI) and after reinitiation of ART (Post-ATI). (E) Ratios between the level of cell-associated HIV RNA and DNA. (<b>F</b>) Impact of ATI and reinitiation of ART on the level of CD4<sup>+</sup> T cells carrying replication-competent HIV in 6 study participants in whom longitudinal leukapheresis was performed. Statistical significance was tested with Wilcoxon’s signed rank test for panels C, D, E, and F. A correlation was determined by the Spearman rank method for panel b. **<i>P</i> < 0.01, ns, not significant.</p

    Immunologic parameters monitored for the duration of the trial.

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    <p>(<b>A</b>) CD4<sup>+</sup> and (<b>B</b>) CD8<sup>+</sup> T cell counts and percentages prior to treatment interruption (Pre-ATI), during ATI (ATI), and following reinitiation of ART (Post-ATI) and levels of (<b>C</b>) B cells, (<b>D</b>) NK cells, and (<b>E</b>) CD8<sup>+</sup> T cells expressing CD38 and HLA-DR prior to treatment interruption (Pre-ATI), during ATI (ATI), and following reinitiation of ART (Post-ATI).</p
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