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Identification of Natural Molecular Determinants of Ross River Virus Type I Interferon Modulation.

ABSTRACT: Ross River virus (RRV) belongs to the genus Alphavirus and is prevalent in Australia. RRV infection can cause arthritic symptoms in patients and may include rash, fever, arthralgia, and myalgia. Type I interferons (IFN) are the primary antiviral cytokines and trigger activation of the host innate immune system to suppress the replication of invading viruses. Alphaviruses are able to subvert the type I IFN system, but the mechanisms used are ill defined. In this study, seven RRV field strains were analyzed for induction of and sensitivity to type I IFN. The sensitivities of these strains to human IFN-? varied significantly and were highest for the RRV 2548 strain. Compared to prototype laboratory strain RRV-T48, RRV 2548 also induced higher type I IFN levels both in vitro and in vivo and caused milder disease. To identify the determinants involved in type I IFN modulation, the region encoding the nonstructural proteins (nsPs) of RRV 2548 was sequenced, and 42 amino acid differences from RRV-T48 were identified. Using fragment swapping and site-directed mutagenesis, we discovered that substitutions E402A and R522Q in nsP1 as well as Q619R in nsP2 were responsible for increased sensitivity of RRV 2548 to type I IFN. In contrast, substitutions A31T, N219T, S580L, and Q619R in nsP2 led to induction of higher levels of type I IFN. With exception of E402A, all these variations are common for naturally occurring RRV strains. However, they are different from all known determinants of type I IFN modulation reported previously in nsPs of alphaviruses.IMPORTANCE By identifying natural Ross River virus (RRV) amino acid determinants for type I interferon (IFN) modulation, this study gives further insight into the mechanism of type I IFN modulation by alphaviruses. Here, the crucial role of type I IFN in the early stages of RRV disease pathogenesis is further demonstrated. This study also provides a comparison of the roles of different parts of the RRV nonstructural region in type I IFN modulation, highlighting the importance of nonstructural protein 1 (nsP1) and nsP2 in this process. Three substitutions in nsP1 and nsP2 were found to be independently associated with enhanced type I IFN sensitivity, and four independent substitutions in nsP2 were important in elevated type I IFN induction. Such evidence has clear implications for RRV immunobiology, persistence, and pathology. The identification of viral proteins that modulate type I IFN may also have importance for the pathogenesis of other alphaviruses.

SUBMITTER: Liu X

PROVIDER: S-EPMC7108833 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Identification of Natural Molecular Determinants of Ross River Virus Type I Interferon Modulation.

Liu Xiang X Mutso Margit M Cherkashchenko Liubov L Zusinaite Eva E Herrero Lara J LJ Doggett Stephen L SL Haniotis John J Merits Andres A Herring Belinda L BL Taylor Adam A Mahalingam Suresh S

Journal of virology 20200331 8

Ross River virus (RRV) belongs to the genus <i>Alphavirus</i> and is prevalent in Australia. RRV infection can cause arthritic symptoms in patients and may include rash, fever, arthralgia, and myalgia. Type I interferons (IFN) are the primary antiviral cytokines and trigger activation of the host innate immune system to suppress the replication of invading viruses. Alphaviruses are able to subvert the type I IFN system, but the mechanisms used are ill defined. In this study, seven RRV field stra ...[more]

PMID: 31996431

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Project description:Ross River virus (RRV) is a mosquito-borne alphavirus that causes epidemics of debilitating musculoskeletal disease. To define the innate immune mechanisms that mediate control of RRV infection, we studied a RRV strain encoding 6 nonsynonymous mutations in nsP1 (RRV-T48-nsP16M) that is attenuated in wild-type (WT) mice and Rag1-/- mice, which are unable to mount adaptive immune responses, but not in mice that lack the capacity to respond to type I interferon (IFN) (Ifnar1-/- mice). Utilizing this attenuated strain, our prior studies revealed that mitochondrial antiviral signaling (MAVS)-dependent production of type I IFN by Ly6Chi monocytes is critical for control of acute RRV infection. Here, we infected Mavs-/- mice with either WT RRV or RRV-T48-nsP16M to elucidate MAVS-independent protective mechanisms. Mavs-/- mice infected with WT RRV developed severe disease and succumbed to infection, whereas those infected with RRV-T48-nsP16M exhibited minimal disease signs. Mavs-/- mice infected with RRV-T48-nsP16M had higher levels of systemic type I IFN than Mavs-/- mice infected with WT virus, and treatment of Mavs-/- mice infected with the attenuated nsP1 mutant virus with an IFNAR1-blocking antibody resulted in a lethal infection. In vitro, type I IFN expression was induced in plasmacytoid dendritic cells (pDCs) cocultured with RRV-infected cells in a MAVS-independent manner, and depletion of pDCs in Mavs-/- mice resulted in increased viral burdens in joint and muscle tissues, suggesting that pDCs are a source of the protective IFN in Mavs-/- mice. These data suggest that pDC production of type I IFN through a MAVS-independent pathway contributes to control of RRV infection.IMPORTANCE Arthritogenic alphaviruses, including Ross River virus (RRV), are human pathogens that cause debilitating acute and chronic musculoskeletal disease and are a significant public health burden. Using an attenuated RRV with enhanced susceptibility to host innate immune responses has revealed key cellular and molecular mechanisms that can mediate control of attenuated RRV infection and that are evaded by more virulent RRV strains. In this study, we found that pDCs contribute to the protective type I interferon response during RRV infection through a mechanism that is independent of the mitochondrial antiviral signaling (MAVS) adaptor protein. These findings highlight a key innate immune mechanism that contributes to control of alphavirus infections.

Project description:BackgroundStatistical models are regularly used in the forecasting and surveillance of infectious diseases to guide public health. Variable selection assists in determining factors associated with disease transmission, however, often overlooked in this process is the evaluation and suitability of the statistical model used in forecasting disease transmission and outbreaks. Here we aim to evaluate several modelling methods to optimise predictive modelling of Ross River virus (RRV) disease notifications and outbreaks in epidemiological important regions of Victoria and Western Australia.Methodology/principal findingsWe developed several statistical methods using meteorological and RRV surveillance data from July 2000 until June 2018 in Victoria and from July 1991 until June 2018 in Western Australia. Models were developed for 11 Local Government Areas (LGAs) in Victoria and seven LGAs in Western Australia. We found generalised additive models and generalised boosted regression models, and generalised additive models and negative binomial models to be the best fit models when predicting RRV outbreaks and notifications, respectively. No association was found with a model's ability to predict RRV notifications in LGAs with greater RRV activity, or for outbreak predictions to have a higher accuracy in LGAs with greater RRV notifications. Moreover, we assessed the use of factor analysis to generate independent variables used in predictive modelling. In the majority of LGAs, this method did not result in better model predictive performance.Conclusions/significanceWe demonstrate that models which are developed and used for predicting disease notifications may not be suitable for predicting disease outbreaks, or vice versa. Furthermore, poor predictive performance in modelling disease transmissions may be the result of inappropriate model selection methods. Our findings provide approaches and methods to facilitate the selection of the best fit statistical model for predicting mosquito-borne disease notifications and outbreaks used for disease surveillance.

Dataset Information

Identification of Natural Molecular Determinants of Ross River Virus Type I Interferon Modulation.

Publications

Identification of Natural Molecular Determinants of Ross River Virus Type I Interferon Modulation.

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