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      How Flaviviruses Activate and Suppress the Interferon Response

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          Abstract

          The flavivirus genus includes viruses with a remarkable ability to produce disease on a large scale. The expansion and increased endemicity of dengue and West Nile viruses in the Americas exemplifies their medical and epidemiological importance. The rapid detection of viral infection and induction of the innate antiviral response are crucial to determining the outcome of infection. The intracellular pathogen receptors RIG-I and MDA5 play a central role in detecting flavivirus infections and initiating a robust antiviral response. Yet, these viruses are still capable of producing acute illness in humans. It is now clear that flaviviruses utilize a variety of mechanisms to modulate the interferon response. The non-structural proteins of the various flaviviruses reduce expression of interferon dependent genes by blocking phosphorylation, enhancing degradation or down-regulating expression of major components of the JAK/STAT pathway. Recent studies indicate that interferon modulation is an important factor in the development of severe flaviviral illness. This suggests that an increased understanding of viral-host interactions will facilitate the development of novel therapeutics to treat these viral infections and improved biological models to study flavivirus pathogenesis.

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          Most cited references68

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          Innate antiviral responses by means of TLR7-mediated recognition of single-stranded RNA.

          Interferons (IFNs) are critical for protection from viral infection, but the pathways linking virus recognition to IFN induction remain poorly understood. Plasmacytoid dendritic cells produce vast amounts of IFN-alpha in response to the wild-type influenza virus. Here, we show that this requires endosomal recognition of influenza genomic RNA and signaling by means of Toll-like receptor 7 (TLR7) and MyD88. Single-stranded RNA (ssRNA) molecules of nonviral origin also induce TLR7-dependent production of inflammatory cytokines. These results identify ssRNA as a ligand for TLR7 and suggest that cells of the innate immune system sense endosomal ssRNA to detect infection by RNA viruses.
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            Recognition of single-stranded RNA viruses by Toll-like receptor 7.

            Viral infection of mammalian host results in the activation of innate immune responses. Toll-like receptors (TLRs) have been shown to mediate the recognition of many types of pathogens, including viruses. The genomes of viruses possess unique characteristics that are not found in mammalian genomes, such as high CpG content and double-stranded RNA. These genomic nucleic acids serve as molecular signatures associated with viral infections. Here we show that TLR7 recognizes the single-stranded RNA viruses, vesicular stomatitis virus and influenza virus. The recognition of these viruses by plasmacytoid dendritic cells and B cells through TLR7 results in their activation of costimulatory molecules and production of cytokines. Moreover, this recognition required intact endocytic pathways. Mice deficient in either the TLR7 or the TLR adaptor protein MyD88 demonstrated reduced responses to in vivo infection with vesicular stomatitis virus. These results demonstrate microbial ligand recognition by TLR7 and provide insights into the pathways used by the innate immune cells in the recognition of viral pathogens.
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              Systems biology approach predicts immunogenicity of the yellow fever vaccine in humans.

              A major challenge in vaccinology is to prospectively determine vaccine efficacy. Here we have used a systems biology approach to identify early gene 'signatures' that predicted immune responses in humans vaccinated with yellow fever vaccine YF-17D. Vaccination induced genes that regulate virus innate sensing and type I interferon production. Computational analyses identified a gene signature, including complement protein C1qB and eukaryotic translation initiation factor 2 alpha kinase 4-an orchestrator of the integrated stress response-that correlated with and predicted YF-17D CD8(+) T cell responses with up to 90% accuracy in an independent, blinded trial. A distinct signature, including B cell growth factor TNFRS17, predicted the neutralizing antibody response with up to 100% accuracy. These data highlight the utility of systems biology approaches in predicting vaccine efficacy.
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                Author and article information

                Journal
                Viruses
                Viruses
                Molecular Diversity Preservation International (MDPI)
                1999-4915
                February 2010
                23 February 2010
                : 2
                : 2
                : 676-691
                Affiliations
                [1 ] Molecular Diagnostics and Research Laboratory, Centers for Disease Control and Prevention, Division of Vector Borne Infectious Diseases, Dengue Branch, 1324 Calle Cañada, San Juan, PR 00920, Puerto Rico
                [2 ] Department of Cell Biology and Molecular Genetics and Maryland Pathogen Research Institute, University of Maryland, MD 20742, USA; E-Mail: bfreder@ 123456umd.edu
                Author notes
                [* ]Author to whom correspondence should be addressed; E-Mail: ckq2@ 123456cdc.gov ; Tel.: +1-787-2873728; Fax: +1-787-706-2496.
                Article
                viruses-02-00676
                10.3390/v2020676
                3185611
                21994652
                b00564f7-ef38-4a0d-a0d8-fc4071183973
                © 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

                History
                : 24 November 2009
                : 4 February 2010
                : 4 February 2010
                Categories
                Review

                Microbiology & Virology
                dengue,interferon,flavivirus,west nile
                Microbiology & Virology
                dengue, interferon, flavivirus, west nile

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