Perturbed pediatric circulating metabolome in mild and severe dengue disease

Paul S Soma1, Rebekah C Gullberg1, Barbara Graham1

  • 1Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, USA.

Journal of Virology
|October 29, 2025
PubMed

Insights

Dengue virus (DENV) infection significantly alters host metabolism. Researchers identified 28 key metabolites, particularly dipeptides, that accurately predict severe dengue disease (DHF/DSS) in children, offering potential for improved diagnostics.

Area of Science:

  • Infectious Diseases
  • Metabolomics
  • Biochemistry

Background:

  • Dengue virus (DENV) infection poses a growing global health threat, with increasing geographic spread of its mosquito vectors.
  • DENV infection can lead to a spectrum of illness, from self-limiting febrile illness (DF) to severe dengue hemorrhagic fever/dengue shock syndrome (DHF/DSS).
  • Viral infections profoundly impact host cell metabolism, influencing disease pathogenesis and severity.

Purpose of the Study:

  • To investigate the dynamic metabolic response to DENV infection in pediatric patients.
  • To identify metabolic biomarkers for classifying dengue fever (DF) versus severe dengue (DHF/DSS).
  • To explore the biochemical pathways underlying severe dengue disease pathology.

Main Methods:

  • Analyzed the circulating metabolome of 535 pediatric patients from Nicaragua using liquid chromatography-tandem mass spectrometry.
  • Utilized a panel of 28 identified metabolites to differentiate between DF and DHF/DSS.
  • Examined specific metabolic pathways including fatty acids, sphingolipids, purines, tryptophan, and dipeptides.

Main Results:

  • Metabolomic analysis revealed significant disruptions in biochemical pathways, particularly in patients with severe dengue manifestations.
  • A 28-metabolite panel achieved high sensitivity and specificity (96.88% balanced accuracy) in classifying DF versus DHF/DSS.
  • Dipeptides were identified as critical metabolites for classifying severe dengue disease; serotonin depletion was noted in DSS patients.

Conclusions:

  • Metabolic profiling can effectively classify dengue disease severity in pediatric patients.
  • The identified metabolic biomarkers, especially dipeptides, show promise for improved dengue diagnostics.
  • These findings suggest conserved metabolic signatures of dengue disease across diverse populations, supporting potential for broad clinical application.

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