Temporal cytokine storm dynamics in dengue infection predicts severity

Puneet Bhatt, Muralidhar Varma, Vikas Sood, Anoop Ambikan, Anup Jayaram, Naren Babu, Soham Gupta, Chiranjay Mukhopadhyay*, Ujjwal Neogi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The immunopathogenesis of dengue severity is convoluted. The primary objective of the research was to examine the dynamics of cytokine storm and its correlation with disease development in individuals affected by DENV infection. Additionally, the study aimed to discover potential biomarkers that could indicate severe dengue infection and determine the most suitable timeframe for predicting the severity of these biomarkers during the acute stage of dengue infections. We conducted a temporal analysis of the daily viral load and cytokine levels in 60 hospitalized dengue patients until discharge. Our findings reveal a distinct cytokine profile (elevated IL-8, IL-10, IL-6, GM-CSF, MCP-1, IL-13, and IL-4 and decreased IL-12, MIP-1β) on the third day after symptom onset is predictive of severe dengue in secondary dengue infection. The imbalanced cytokine signature may inform clinical decision-making in treating severe dengue infections.

Original languageEnglish
Article number199306
JournalVirus Research
Volume341
DOIs
Publication statusPublished - 03-2024

All Science Journal Classification (ASJC) codes

  • Virology
  • Infectious Diseases
  • Cancer Research

Fingerprint

Dive into the research topics of 'Temporal cytokine storm dynamics in dengue infection predicts severity'. Together they form a unique fingerprint.

Cite this