ArticleJournal of translational medicine2017
Aberrant monocyte responses predict and characterize dengue virus infection in individuals with severe disease.
Article in Journal of translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 36 citations in OpenAlex.
- Plasma proteomics identifies early markers of endothelial and inflammatory activation associated with dengue disease severity in children.medRxiv : the preprint server for health sciences · 2026Article
- Transcriptomic and bioinformatics analysis reveals the host response feature and potential treatment strategy of patients with dengue fever.Frontiers in immunology · 2026Article
- Hybrid Feature Selection-Based Machine Learning and Deep Learning Framework for Biomarker Prediction From RNA-seq Data During Dengue Fever to Severe Dengue Progression.Evolutionary bioinformatics online · 2026Article
- Elevated liver enzyme (AST and ALT) as biomarkers for severe dengue in Nepalese patients: a cross-sectional study.BMC infectious diseases · 2025Article
- Significance of diagnostic and therapeutic potential of serum endothelial and inflammatory biomarkers in defining disease severity of dengue infected patients.Medical microbiology and immunology · 2024Article
- The inflammasome pathway is activated by dengue virus non-structural protein 1 and is protective during dengue virus infection.PLoS pathogens · 2024Article
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- The Role of Growth Factors in the Pathogenesis of Dengue: A Scoping Review.Pathogens (Basel, Switzerland) · 2022Article
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- Liver transcriptomics reveals features of the host response in a mouse model of dengue virus infection.Frontiers in immunology · 2022Article
- Dengue Infection - Recent Advances in Disease Pathogenesis in the Era of COVID-19.Frontiers in immunology · 2022Review
- Article
- Serum IL-18 Is a Potential Biomarker for Predicting Severe Dengue Disease Progression.Journal of immunology research · 2021Observational
- IL-18: The Forgotten Cytokine in Dengue Immunopathogenesis.Journal of immunology research · 2021Review
- Article
- Host-Based Prognostic Biomarkers to Improve Risk Stratification and Outcome of Febrile Children in Low- and Middle-Income Countries.Frontiers in pediatrics · 2020Article
- Inflammasome Fuels Dengue Severity.Frontiers in cellular and infection microbiology · 2020Review
- Increased serum ferritin and interleukin-18 levels in children with dengue.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2019Article
- Detection of post-vaccination enhanced dengue virus infection in macaques: An improved model for early assessment of dengue vaccines.PLoS pathogens · 2019Article
- Article
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrently, several assays can diagnose acute dengue infection. However, none of these assays can predict the severity of the disease. Biomarkers that predicts the likelihood that a dengue patient will develop a severe form of the disease could permit more efficient patient triage and allows better supportive care for the individual in need, especially during dengue outbreaks.
methodsWe measured 20 plasma markers i.e. IFN-γ, IL-10, granzyme-B, CX3CL1, IP-10, RANTES, CXCL8, CXCL6, VCAM, ICAM, VEGF, HGF, sCD25, IL-18, LBP, sCD14, sCD163, MIF, MCP-1 and MIP-1β in 141 dengue patients in over 230 specimens and correlate the levels of these plasma markers with the development of dengue without warning signs (DWS-), dengue with warning signs (DWS+) and severe dengue (SD).
resultsOur results show that the elevation of plasma levels of IL-18 at both febrile and defervescence phase was significantly associated with DWS+ and SD; whilst increase of sCD14 and LBP at febrile phase were associated with severity of dengue disease. By using receiver operating characteristic (ROC) analysis, the IL-18, LBP and sCD14 were significantly predicted the development of more severe form of dengue disease (DWS+/SD) (AUC = 0.768, P < 0.0001; AUC = 0.819, P < 0.0001 and AUC = 0.647, P = 0.014 respectively). Furthermore, we also found that the levels of VEGF were directly correlated and sCD14 was inversely correlated with platelet count, suggesting that the endothelial activation and microbial translocation may played a role in pathogenesis of dengue disease.
conclusionsGiven that the elevation IL-18, LBP and sCD14 among patients with severe form of dengue disease, our findings suggest a pathogenic role for an aberrant inflammasome and monocyte activation in the development of severe form of dengue disease.
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