Systems analysis reveals complex biological processes during virus infection fate decisions
Year: 2019
Type: preprint
Abstract: The processes and mechanisms of virus infection fate decisions that are the result of a dynamic virus-immune system interaction with either an efficient effector response and virus elimination or an alleviated immune response and chronic infection are poorly understood. Here, we characterized the host response to acute and chronic lymphocytic choriomeningitis virus (LCMV) infections by gene coexpression network analysis of time-resolved splenic transcriptomes. First, we found an early attenuation of inflammatory monocyte/macrophage prior to the onset of T cell exhaustion, and second, a critical role of the XCL1-XCR1 communication axis during the functional adaptation of the T cell response to the chronic infection state. These findings not only reveal an important feedback mechanism that couples T cell exhaustion with the maintenance of a lower level of effector T cell response but also suggest therapy options to better control virus levels during the chronic infection phase.
Source: Genome Research
Authors: Jordi Argilaguet, Mireia Pedragosa, Anna Esteve-Codina, Graciela Riera, Enric Vidal, Cristina Peligero-Cruz, Valentina Casella, David Andreu, Tsuneyasu Kaisho, Gennady Bocharov, Burkhard Ludewig, Simon Heath, Andreas Meyerhans
Institutions: Universitat Pompeu Fabra, Barcelona Institute of Science and Technology, Centre for Genomic Regulation, Centro Nacional de Análisis Genómico, Centre de Recerca en Sanitat Animal, Wakayama Medical University, Immunology Frontier Research Center, The University of Osaka, Russian Academy of Sciences, Sechenov University, Institute of Numerical Mathematics, Kantonsspital St. Gallen, Institució Catalana de Recerca i Estudis Avançats
Language: English
Topic: T-cell and B-cell Immunology
Subfield: Immunology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: bronze
Funders: Uehara Memorial Foundation, Universitat Pompeu Fabra, Russian Science Foundation, Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España, Japan Society for the Promotion of Science, Instituto de Salud Carlos III, European Regional Development Fund, Agencia Estatal de Investigación
OpenAlex ID: W7062542559