ArticlePloS one2009
Gene expression profiling during early acute febrile stage of dengue infection can predict the disease outcome.
Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 3 of them syntheses that pooled it.
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Who cites it
52 citing papers in PubMed, 3 syntheses or guidelines pooled it, 96 citations in OpenAlex.
- Pooled it
- Evaluation of gene expression classification studies: factors associated with classification performance.PloS one · 2014Pooled it
- Gene expression patterns of dengue virus-infected children from nicaragua reveal a distinct signature of increased metabolism.PLoS neglected tropical diseases · 2010Pooled it
- Exploring potential gene signatures in dengue through machine learning and deep learning approaches.Virus genes · 2026Article
- T Cell Responses During Dengue Infection.Current topics in microbiology and immunology · 2026Review
- Integrated systems immunology approach identifies impaired effector T cell memory responses as a feature of progression to severe dengue fever.Journal of biomedical science · 2023Article
- Longitudinal proteomic profiling of the inflammatory response in dengue patients.PLoS neglected tropical diseases · 2023Article
- Transcriptome-based analysis of human peripheral blood reveals regulators of immune response in different viral infections.Frontiers in immunology · 2023Article
- A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations.Cell reports. Medicine · 2022Article
- Article
- An 8-gene machine learning model improves clinical prediction of severe dengue progression.Genome medicine · 2022Article
- An OMICs-based meta-analysis to support infection state stratification.Bioinformatics (Oxford, England) · 2021Article
- Multi-Tissue Transcriptomic-Informed In Silico Investigation of Drugs for the Treatment of Dengue Fever Disease.Viruses · 2021Article
- Using Omics Approaches in the Discovery of Biomarkers for Early Diagnosis of Johne's Disease in Sheep and Goats.Animals : an open access journal from MDPI · 2021Review
- Immunotranscriptomic profiling the acute and clearance phases of a human challenge dengue virus serotype 2 infection model.Nature communications · 2021Article
- Gene Expression Profiling of Early Acute Febrile Stage of Dengue Infection and Its Comparative Analysis WithFrontiers in cellular and infection microbiology · 2021Article
- Innate Immune Cytokine Profiling and Biomarker Identification for Outcome in Dengue Patients.Frontiers in immunology · 2021Article
- Assessing the risk of dengue severity using demographic information and laboratory test results with machine learning.PLoS neglected tropical diseases · 2020Article
- Transcriptional blood signatures for active and amphotericin B treated visceral leishmaniasis in India.PLoS neglected tropical diseases · 2019Article
- Dengue-specific CD8+ T cell subsets display specialized transcriptomic and TCR profiles.The Journal of clinical investigation · 2019Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundWe report the detailed development of biomarkers to predict the clinical outcome under dengue infection. Transcriptional signatures from purified peripheral blood mononuclear cells were derived from whole-genome gene-expression microarray data, validated by quantitative PCR and tested in independent samples. METHODOLOGY/PRINCIPAL
findingsThe study was performed on patients of a well-characterized dengue cohort from Recife, Brazil. The samples analyzed were collected prospectively from acute febrile dengue patients who evolved with different degrees of disease severity: classic dengue fever or dengue hemorrhagic fever (DHF) samples were compared with similar samples from other non-dengue febrile illnesses. The DHF samples were collected 2-3 days before the presentation of the plasma leakage symptoms. Differentially-expressed genes were selected by univariate statistical tests as well as multivariate classification techniques. The results showed that at early stages of dengue infection, the genes involved in effector mechanisms of innate immune response presented a weaker activation on patients who later developed hemorrhagic fever, whereas the genes involved in apoptosis were expressed in higher levels. CONCLUSIONS/SIGNIFICANCE: Some of the gene expression signatures displayed estimated accuracy rates of more than 95%, indicating that expression profiling with these signatures may provide a useful means of DHF prognosis at early stages of infection.
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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.