ArticleScientific reports2023
Early transcriptomic host response signatures in the serum of dengue patients provides insights into clinical pathogenesis and disease severity.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 14 citations in OpenAlex.
- Interferon gamma and inflammatory response genes by weighted gene co-expression network analysis reveal significant associations with severe dengue infection in India.New microbes and new infections · 2026Article
- Bulk transcriptomics of peripheral blood mononuclear cells delineates systems-level immune dysregulation in pediatric dengue infection.NPJ systems biology and applications · 2026Article
- Functional dynamics between resident transcriptionally active microbes (TAMs) and host genes underlie Dengue severity.PLoS neglected tropical diseases · 2025Article
- Dengue Virus and the Host Immune System: A Battle of Immune Modulation, Response and Evasion.Pathogens (Basel, Switzerland) · 2025Review
- Exploiting host kinases to combat dengue virus infection and disease.Antiviral research · 2025Review
- Clinico-genomic study reveals association of dengue virus genome high frequency mutations with dengue disease severity.Scientific reports · 2025Article
- Two-transcript signature for differentiation and clinical outcomes in severe fever with thrombocytopenia syndrome (SFTS) patients: a double-blind, multicenter, validation study.Journal of clinical microbiology · 2025Article
- Immune and vascular modulation by HERVs: the role ofFrontiers in immunology · 2025Article
- Unraveling flavivirus pathogenesis: from bulk to single-cell RNA-sequencing strategies.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2024Review
- Reduced protein-coding transcript diversity in severe dengue emphasises the role of alternative splicing.Life science alliance · 2024Article
- Non-Targeted RNA Sequencing: Towards the Development of Universal Clinical Diagnosis Methods for Human and Veterinary Infectious Diseases.Veterinary sciences · 2024Review
- Dual RNA-Seq reveals transcriptionally active microbes (TAMs) dynamics in the serum of dengue patients associated with disease severity.Frontiers in microbiology · 2023Article
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dengue virus (DENV), known to cause viral infection, belongs to the family Flaviviridae, having four serotypes (DENV1-4) that spreads by the bite of the Aedes aegypti mosquito. India has been suffering from dengue outbreaks annually with widespread epidemics by prevalence of all the four DENV serotypes. The diverse spectrum of clinical manifestations in dengue infection, mild to severe forms, makes the need of timely diagnosis and prompt treatment an essence. The identification of a dengue host response signature in serum can increase the understanding of dengue pathogenesis since most dengue NS1 Ag tests have been developed and evaluated in serum samples. Here, to understand the same, we undertook a dual RNA-sequencing (RNA-Seq) based approach from the serum samples of dengue-infected patients. The results thus yield the early transcriptional signatures that discriminated the high viral reads patients from patients who had low dengue viral reads. We identified a significant upregulation of two sets of genes, key antiviral (IFIT3, RSAD2, SAT1) and vascular dysfunction (TNFS10, CXCL8) related genes in the high viral reads group. Deeper delving of this gene profile revealed a unique two-way response, where the antiviral genes can mediate the disease course to mild, contrarily the increased expression of the other gene set might act as pointers of severe disease course. Further, we explored the hematologic parameters from the complete blood count (CBC), which suggests that lymphocytes (low) and neutrophils (high) might serve as an early predictor of prognosis in dengue infection. Collectively, our findings give insights into the foundation for further investigation of the early host response using the RNA isolated from dengue patients' serum samples and opens the door for careful monitoring of the early clinical and transcriptome profiles for management of the dengue patients.
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