ArticleThe Journal of infectious diseases2018
A Blood RNA Signature Detecting Severe Disease in Young Dengue Patients at Hospital Arrival.
Article in The Journal of infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 42 citations in OpenAlex.
- Exploring blood transcriptional signatures for thrombosis diagnosis in critically ill patients with COVID-19.Blood vessels, thrombosis & hemostasis · 2026Article
- Identification of monotonically classifying pairs of genes for ordinal disease outcomes.Bioinformatics advances · 2026Article
- Towards the genome-scale discovery of bivariate monotonic classifiers.BMC bioinformatics · 2025Article
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- The Low-Density Lipoprotein Receptor-Related Protein-1 Is Essential for Dengue Virus Infection.Viruses · 2024Article
- Predictive signature of murine and human host response to typical and atypical pneumonia.BMJ open respiratory research · 2024Article
- Host-response transcriptional biomarkers accurately discriminate bacterial and viral infections of global relevance.Scientific reports · 2023Article
- Transcriptomics of MASLD Pathobiology in African American Patients in the Washington DC AreaInternational journal of molecular sciences · 2023Article
- Comparative phylogenetic analysis and transcriptomic profiling of Dengue (DENV-3 genotype I) outbreak in 2021 in Bangladesh.Virology journal · 2023Article
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- Longitudinal proteomic profiling of the inflammatory response in dengue patients.PLoS neglected tropical diseases · 2023Article
- Discovery and validation of circulating miRNAs for the clinical prognosis of severe dengue.PLoS neglected tropical diseases · 2022Article
- Prospective Validation of a Rapid Host Gene Expression Test to Discriminate Bacterial From Viral Respiratory Infection.JAMA network open · 2022Article
- An 8-gene machine learning model improves clinical prediction of severe dengue progression.Genome medicine · 2022Article
- A Population of CD4Viruses · 2022Article
- SARS-CoV-2 early infection signature identified potential key infection mechanisms and drug targets.BMC genomics · 2021Article
- Systemic viral spreading and defective host responses are associated with fatal Lassa fever in macaques.Communications biology · 2021Article
- A blood-based 22-gene expression signature for hepatocellular carcinoma identification.Annals of translational medicine · 2020Article
- Understanding Human Cerebral Malaria through a Blood Transcriptomic Signature: Evidences for Erythrocyte Alteration, Immune/Inflammatory Dysregulation, and Brain Dysfunction.Mediators of inflammation · 2020Article
- Article
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Authors and funding
15 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Early detection of severe dengue can improve patient care and survival. To date, no reliable single-gene biomarker exists. We hypothesized that robust multigene signatures exist. Methods: We performed a prospective study on Cambodian dengue patients aged 4 to 22 years. Peripheral blood mononuclear cells (PBMCs) were obtained at hospital admission. We analyzed 42 transcriptomic profiles of patients with secondary dengue infected with dengue serotype 1. Our novel signature discovery approach controls the number of included genes and captures nonlinear relationships between transcript concentrations and severity. We evaluated the signature on secondary cases infected with different serotypes using 2 datasets: 22 PBMC samples from additional patients in our cohort and 32 whole blood samples from an independent cohort. Results: We identified an 18-gene signature for detecting severe dengue in patients with secondary infection upon hospital admission with a sensitivity of 0.93 (95% confidence interval [CI], .82-.98), specificity of 0.67 (95% CI, .53-.80), and area under the receiver operating characteristic curve (AUC) of 0.86 (95% CI, .75-.97). At validation, the signature had empirical AUCs of 0.85 (95% CI, .69-1.00) and 0.83 (95% CI, .68-.98) for the PBMCs and whole blood datasets, respectively. Conclusions: The signature could detect severe dengue in secondary-infected patients upon hospital admission. Its genes offer new insights into the pathogenesis of severe dengue.
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