ArticlePloS one2010
Genome-wide expression profiling deciphers host responses altered during dengue shock syndrome and reveals the role of innate immunity in severe dengue.
Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.
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Who cites it
44 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.
- Transcriptome meta-analysis reveals a dysregulation in extra cellular matrix and cell junction associated gene signatures during Dengue virus infection.Scientific reports · 2016Pooled it
- Analyzing the Molecular Signature Genes and Pathways of Dengue Fever, Dengue Hemorrhagic Fever and Dengue Shock Syndrome Caused by Dengue Virus in India.Molecular biotechnology · 2026Article
- Advances in Nanobiosensors for Rapid and Sensitive Detection of Dengue Virus Biomarkers by Using Clinical Laboratory.Journal of clinical laboratory analysis · 2025Review
- Article
- Metatranscriptomic insights into the dengue patient blood microbiome: Enhanced microbial diversity and metabolic activity in severe patients.PLoS neglected tropical diseases · 2024Article
- Neutrophil Extracellular Traps Contribute to the Disease Severity of Dengue Virus Infection.Journal of arthropod-borne diseases · 2024Article
- Comparative phylogenetic analysis and transcriptomic profiling of Dengue (DENV-3 genotype I) outbreak in 2021 in Bangladesh.Virology journal · 2023Article
- 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
- Article
- An 8-gene machine learning model improves clinical prediction of severe dengue progression.Genome medicine · 2022Article
- Insights into potential causes of vascular hyperpermeability in dengue.PLoS pathogens · 2021Article
- Transfer transcriptomic signatures for infectious diseases.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Immunotranscriptomic profiling the acute and clearance phases of a human challenge dengue virus serotype 2 infection model.Nature communications · 2021Article
- Assessing the risk of dengue severity using demographic information and laboratory test results with machine learning.PLoS neglected tropical diseases · 2020Article
- Platelets Fuel the Inflammasome Activation of Innate Immune Cells.Cell reports · 2020Article
- Review
- Decreased Type I Interferon Production by Plasmacytoid Dendritic Cells Contributes to Severe Dengue.Frontiers in immunology · 2020Article
- A 20-Gene Set Predictive of Progression to Severe Dengue.Cell reports · 2019Article
- A Blood RNA Signature Detecting Severe Disease in Young Dengue Patients at Hospital Arrival.The Journal of infectious diseases · 2018Article
Corrections and comments
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Authors and funding
12 authors at 7 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDeciphering host responses contributing to dengue shock syndrome (DSS), the life-threatening form of acute viral dengue infections, is required to improve both the differential prognosis and the treatments provided to DSS patients, a challenge for clinicians. METHODOLOGY/PRINCIPAL
findingsBased on a prospective study, we analyzed the genome-wide expression profiles of whole blood cells from 48 matched Cambodian children: 19 progressed to DSS while 16 and 13 presented respectively classical dengue fever (DF) or dengue hemorrhagic fever grades I/II (DHF). Using multi-way analysis of variance (ANOVA) and adjustment of p-values to control the False Discovery Rate (FDR<10%), we identified a signature of 2959 genes differentiating DSS patients from both DF and DHF, and showed a strong association of this DSS-gene signature with the dengue disease phenotype. Using a combined approach to analyse the molecular patterns associated with the DSS-gene signature, we provide an integrative overview of the transcriptional responses altered in DSS children. In particular, we show that the transcriptome of DSS children blood cells is characterized by a decreased abundance of transcripts related to T and NK lymphocyte responses and by an increased abundance of anti-inflammatory and repair/remodeling transcripts. We also show that unexpected pro-inflammatory gene patterns at the interface between innate immunity, inflammation and host lipid metabolism, known to play pathogenic roles in acute and chronic inflammatory diseases associated with systemic vascular dysfunction, are transcriptionnally active in the blood cells of DSS children. CONCLUSIONS/SIGNIFICANCE: We provide a global while non exhaustive overview of the molecular mechanisms altered in of DSS children and suggest how they may interact to lead to final vascular homeostasis breakdown. We suggest that some mechanisms identified should be considered putative therapeutic targets or biomarkers of progression to DSS.
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