Temporal cytokine storm dynamics in dengue infection predicts severity

Autor: Puneet Bhatt, Muralidhar Varma, Vikas Sood, Anoop Ambikan, Anup Jayaram, Naren Babu, Soham Gupta, Chiranjay Mukhopadhyay, Ujjwal Neogi
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Virus Research, Vol 341, Iss , Pp 199306- (2024)
Druh dokumentu: article
ISSN: 1872-7492
DOI: 10.1016/j.virusres.2023.199306
Popis: 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.
Databáze: Directory of Open Access Journals