Temporal cytokine storm dynamics in dengue infection predicts severity

被引:13
作者
Bhatt, Puneet [1 ]
Varma, Muralidhar [2 ]
Sood, Vikas [3 ,4 ]
Ambikan, Anoop [3 ]
Jayaram, Anup [1 ]
Babu, Naren [1 ]
Gupta, Soham [3 ]
Mukhopadhyay, Chiranjay [1 ,5 ]
Neogi, Ujjwal [1 ,3 ]
机构
[1] Manipal Acad Higher Educ, Manipal Inst Virol, Manipal, Karnataka, India
[2] Kasturba Med Coll & Hosp, Dept Infect Dis, Manipal, Karnataka, India
[3] Karolinska Inst, Dept Lab Med, Div Clin Microbiol, Syst Virol Lab, Stockholm, Sweden
[4] Jamia Hamdard, Sch Chem & Life Sci, Dept Biochem, New Delhi, India
[5] Manipal Acad Higher Educ, Ctr Emerging & Trop Dis, Manipal, Karnataka, India
基金
瑞典研究理事会;
关键词
Cytokine storm; Dengue severity; Temporal Analysis;
D O I
10.1016/j.virusres.2023.199306
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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, IL10, IL-6, GM-CSF, MCP-1, IL-13, and IL-4 and decreased IL-12, MIP-1 beta) 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.
引用
收藏
页数:4
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