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Transcriptional Profiling of the Immune Response to Marburg Infection

ABSTRACT: Marburg virus is a genetically simple RNA virus that causes a severe hemorrhagic fever upon infection in humans and non-human primates. The mechanism of how this pathogenesis comes about is not well understood, but it is well accepted that pathogenesis is significantly driven by a hyperactive immune response. To better understand the overall response to Marburg virus challenge, we undertook a transcriptomic analysis of immune cells circulating in the blood following aerosol exposure of cynomolgus macaques to a lethal dose of Marburg virus. Using two-color microarrays, we analyzed the transcriptome of peripheral blood mononuclear cells that were collected throughout the course of infection from 1 to 9 days postexposure, representing the full course of the infection. The host response to aerosolized Marburg was evident at 1 day post-exposure. The response followed a 3-phase response that was led by a robust innate immune response. Analysis of cytokine transcripts that were overexpressed during infection indicated that previously unanalyzed cytokines are likely induced in response to exposure to Marburg virus, and further suggested that the immune response may favor a Th2 response that would hamper the development of an effective antiviral immune response. Late infection events included the upregulation of coagulation associated factors. These findings suggest new avenues for investigating the pathogenesis of Marburg virus infection and provide rich dataset of factors expressed throughout the course of infection that can be investigated as markers of infection and targets for therapy.

ORGANISM(S): Homo sapiens Macaca fascicularis

PROVIDER: GSE58287 | GEO | 2015/05/11

SECONDARY ACCESSION(S): PRJNA251894

REPOSITORIES: GEO

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Project description:Baris Hancioglu, David Swigon & Gilles Clermont. A dynamical model of human immune response to influenza A virus infection. Journal of Theoretical Biology 246, 1 (2007). We present a simplified dynamical model of immune response to uncomplicated influenza A virus (IAV) infection, which focuses on the control of the infection by the innate and adaptive immunity. Innate immunity is represented by interferon-induced resistance to infection of respiratory epithelial cells and by removal of infected cells by effector cells (cytotoxic T-cells and natural killer cells). Adaptive immunity is represented by virus-specific antibodies. Similar in spirit to the recent model of Bocharov and Romanyukha [1994. Mathematical model of antiviral immune response. III. Influenza A virus infection. J. Theor. Biol. 167, 323-360], the model is constructed as a system of 10 ordinary differential equations with 27 parameters characterizing the rates of various processes contributing to the course of disease. The parameters are derived from published experimental data or estimated so as to reproduce available data about the time course of IAV infection in a naïve host. We explore the effect of initial viral load on the severity and duration of the disease, construct a phase diagram that sheds insight into the dynamics of the disease, and perform sensitivity analysis on the model parameters to explore which ones influence the most the onset, duration and severity of infection. To account for the variability and speed of adaptation of the adaptive response to a particular virus strain, we introduce a variable that quantifies the antigenic compatibility between the virus and the antibodies currently produced by the organism. We find that for small initial viral load the disease progresses through an asymptomatic course, for intermediate value it takes a typical course with constant duration and severity of infection but variable onset, and for large initial viral load the disease becomes severe. This behavior is robust to a wide range of parameter values. The absence of antibody response leads to recurrence of disease and appearance of a chronic state with nontrivial constant viral load.

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Transcriptional Profiling of the Immune Response to Marburg Infection

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