ArticleCell reports2020
Transcriptional Correlates of Tolerance and Lethality in Mice Predict Ebola Virus Disease Patient Outcomes.
Article in Cell reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
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Who cites it
31 citing papers in PubMed, 48 citations in OpenAlex.
- Temporal transcriptomics identifies early-response and infection-condition-specific modules guiding host-directed anti-EBOV therapeutics.Microbiology spectrum · 2026Article
- Limited 'heft' of weight-based outcomes in predicting influenza A virus disease severity in ferrets.PLoS computational biology · 2026Article
- Sex bias determines MERS-CoV infection outcomes in a mouse model of differential pathogenicity.bioRxiv : the preprint server for biology · 2025Article
- Host genetic diversity contributes to disease outcome in Crimean-Congo hemorrhagic fever virus infection.Npj viruses · 2025Article
- Transcriptomic evidence of cytokine storm and sepsis in little brown bats exposed to white-nose syndrome.Conservation physiology · 2025Article
- Sepsis pathogenesis and outcome are shaped by the balance between the transcriptional states of systemic inflammation and antimicrobial response.Cell reports. Medicine · 2024Article
- Characterization of Collaborative Cross mouse founder strain CAST/EiJ as a novel model for lethal COVID-19.Scientific reports · 2024Article
- Molecular determinants of cross-species transmission in emerging viral infections.Microbiology and molecular biology reviews : MMBR · 2024Review
- Genomic transfers help to decipher the ancient evolution of filoviruses and interactions with vertebrate hosts.PLoS pathogens · 2024Article
- Gene expression analysis identifies hub genes and pathways distinguishing fatal from survivor outcomes of Ebola virus disease.FASEB bioAdvances · 2024Article
- Characterization of Collaborative Cross mouse founder strain CAST/EiJ as a novel model for lethal COVID-19.Research square · 2024Article
- Mapping of susceptibility loci for Ebola virus pathogenesis in mice.Cell reports · 2024Article
- Characterizing changes in transcriptome and kinome responses in testicular cells during infection by Ebola virus.Npj viruses · 2024Article
- Identification and Potential Roles of Human MicroRNAs in Ebola Virus Infection and Disease Pathogenesis.Genes · 2024Article
- Establishing a Mouse Model for Sexual Transmission and Male Reproductive Tract Persistence of Ebola Virus.The Journal of infectious diseases · 2023Article
- Of mice and Mike-An underappreciated Ebola virus disease model may have paved the road for future filovirology.Antiviral research · 2023Article
- The impact of stress and anesthesia on animal models of infectious disease.Frontiers in veterinary science · 2023Review
- Artificial Intelligence Models for Zoonotic Pathogens: A Survey.Microorganisms · 2022Review
- Using the Collaborative Cross and Diversity Outbred Mice in Immunology.Current protocols · 2022Article
- Enhancers of Host Immune Tolerance to Bacterial Infection Discovered Using Linked Computational and Experimental Approaches.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
Host response to infection is a major determinant of disease severity in Ebola virus disease (EVD), but gene expression programs associated with outcome are poorly characterized. Collaborative Cross (CC) mice develop strain-dependent EVD phenotypes of differential severity, ranging from tolerance to lethality. We screen 10 CC lines and identify clinical, virologic, and transcriptomic features that distinguish tolerant from lethal outcomes. Tolerance is associated with tightly regulated induction of immune and inflammatory responses shortly following infection, as well as reduced inflammatory macrophages and increased antigen-presenting cells, B-1 cells, and γδ T cells. Lethal disease is characterized by suppressed early gene expression and reduced lymphocytes, followed by uncontrolled inflammatory signaling, leading to death. We apply machine learning to predict outcomes with 99% accuracy in mice using transcriptomic profiles. This signature predicts outcomes in a cohort of EVD patients from western Africa with 75% accuracy, demonstrating potential clinical utility.
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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.