ArticleGenome biology2017
Transcriptomic signatures differentiate survival from fatal outcomes in humans infected with Ebola virus.
Article in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 1 of them a synthesis that pooled it.
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Who cites it
92 citing papers in PubMed, 1 synthesis or guideline pooled it, 144 citations in OpenAlex.
- RNA-seq research landscape in Africa: systematic review reveals disparities and opportunities.European journal of medical research · 2023Pooled it
- Longitudinal transcriptional analysis of peripheral blood leukocytes in COVID-19 convalescent donors.Journal of translational medicine · 2022Trial
- Host transcriptomic signature as alternative test-of-cure in visceral leishmaniasis patients co-infected with HIV.EBioMedicine · 2020Trial
- Identification of Host Gene Transcripts by Machine Learning and Their Application to Predict Outcome in Ebola Virus Disease.The Journal of infectious diseases · 2026Article
- Molecular Phenotypes of Sex- and Age-Specific Differences Relating to Outcome in Patients With Ebola Virus Disease.The Journal of infectious diseases · 2026Article
- Temporal transcriptomics identifies early-response and infection-condition-specific modules guiding host-directed anti-EBOV therapeutics.Microbiology spectrum · 2026Article
- CD4Nature immunology · 2026Article
- Predicting trajectories of illness using RNA velocity of whole blood.Nature communications · 2026Observational
- Discontinuous EBOV RNA synthesis events in patients with Ebola virus disease and their relationship to viral load and outcome of infection.Journal of virology · 2025Article
- Molecular Evolution of the NLR Gene Family Reveals Diverse Innate Immune Strategies in Bats.Biomolecules · 2025Article
- Fast-acting single-dose vesicular stomatitis virus-Sudan virus vaccine: a challenge study in macaques.The Lancet. Microbe · 2025Article
- Ebola virus' hidden target: virus transmission to and infection of skin.Journal of virology · 2025Article
- Assessing concordance between RNA-Seq and NanoString technologies in Ebola-infected nonhuman primates using machine learning.BMC genomics · 2025Article
- Single-dose VSV-Sudan virus vaccine protects from lethal Sudan virus infection within one week: a challenge study in macaques: VSV-SUDV but not VSV-EBOV protects NHPs from Sudan virus disease.bioRxiv : the preprint server for biology · 2025Article
- Transcriptional Profiling of Filovirus-Infected Nonhuman Primate Samples.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Distinct negative-sense RNA viruses induce a common set of transcripts encoding proteins forming an extensive network.Journal of virology · 2024Article
- Gene expression analysis identifies hub genes and pathways distinguishing fatal from survivor outcomes of Ebola virus disease.FASEB bioAdvances · 2024Article
- Pathogenic differences of cynomolgus macaques after Taï Forest virus infection depend on the viral stock propagation.PLoS pathogens · 2024Article
- The malarial blood transcriptome: translational applications.Biochemical Society transactions · 2024Review
- Characterizing changes in transcriptome and kinome responses in testicular cells during infection by Ebola virus.Npj viruses · 2024Article
32 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
27 authors at 12 institutions in 6 countries.
Funding
Abstract
backgroundIn 2014, Western Africa experienced an unanticipated explosion of Ebola virus infections. What distinguishes fatal from non-fatal outcomes remains largely unknown, yet is key to optimising personalised treatment strategies. We used transcriptome data for peripheral blood taken from infected and convalescent recovering patients to identify early stage host factors that are associated with acute illness and those that differentiate patient survival from fatality.
resultsThe data demonstrate that individuals who succumbed to the disease show stronger upregulation of interferon signalling and acute phase responses compared to survivors during the acute phase of infection. Particularly notable is the strong upregulation of albumin and fibrinogen genes, which suggest significant liver pathology. Cell subtype prediction using messenger RNA expression patterns indicated that NK-cell populations increase in patients who survive infection. By selecting genes whose expression properties discriminated between fatal cases and survivors, we identify a small panel of responding genes that act as strong predictors of patient outcome, independent of viral load.
conclusionsTranscriptomic analysis of the host response to pathogen infection using blood samples taken during an outbreak situation can provide multiple levels of information on both disease state and mechanisms of pathogenesis. Host biomarkers were identified that provide high predictive value under conditions where other predictors, such as viral load, are poor prognostic indicators. The data suggested that rapid analysis of the host response to infection in an outbreak situation can provide valuable information to guide an understanding of disease outcome and mechanisms of disease.
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