ArticleGenome research2019
Systems analysis reveals complex biological processes during virus infection fate decisions.
Article in Genome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed, 22 citations in OpenAlex.
- Anti-PD-L1 Immunotherapy of Chronic Virus Infection Improves Virus Control without Augmenting Tissue Damage by Fibrosis.Viruses · 2024Article
- Exploring the Role of Platelets in Virus-Induced Inflammatory Demyelinating Disease and Myocarditis.International journal of molecular sciences · 2024Article
- Differential kinetics of splenic CD169+ macrophage death is one underlying cause of virus infection fate regulation.Cell death & disease · 2023Article
- Article
- CXCL10 chemokine regulates heterogeneity of the CD8Immunity · 2022Article
- An integrative systems biology view of host-pathogen interactions: The regulation of immunity and homeostasis is concomitant, flexible, and smart.Frontiers in immunology · 2022Article
- Non-neutralizing antibodies protect against chronic LCMV infection by promoting infection of inflammatory monocytes in mice.European journal of immunology · 2021Article
- Intraspecies Transcriptional Profiling Reveals Key Regulators of Candida albicans Pathogenic Traits.mBio · 2021Article
- Computational Analysis of the Global Effects ofGenes · 2020Article
- Immunological Paradigms, Mechanisms, and Models: Conceptual Understanding Is a Prerequisite to Effective Modeling.Frontiers in immunology · 2019Review
Corrections and comments
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Authors and funding
13 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.