Temporal cytokine storm dynamics in dengue infection predicts severity
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 cou...
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Format: | Article |
Language: | English |
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Elsevier
2024-03-01
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Series: | Virus Research |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S016817022300268X |
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author | Puneet Bhatt Muralidhar Varma Vikas Sood Anoop Ambikan Anup Jayaram Naren Babu Soham Gupta Chiranjay Mukhopadhyay Ujjwal Neogi |
author_facet | Puneet Bhatt Muralidhar Varma Vikas Sood Anoop Ambikan Anup Jayaram Naren Babu Soham Gupta Chiranjay Mukhopadhyay Ujjwal Neogi |
author_sort | Puneet Bhatt |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-08T16:26:20Z |
format | Article |
id | doaj.art-7dc439786db34fdfb82ccb70e1f14d02 |
institution | Directory Open Access Journal |
issn | 1872-7492 |
language | English |
last_indexed | 2024-03-08T16:26:20Z |
publishDate | 2024-03-01 |
publisher | Elsevier |
record_format | Article |
series | Virus Research |
spelling | doaj.art-7dc439786db34fdfb82ccb70e1f14d022024-01-07T04:27:03ZengElsevierVirus Research1872-74922024-03-01341199306Temporal cytokine storm dynamics in dengue infection predicts severityPuneet Bhatt0Muralidhar Varma1Vikas Sood2Anoop Ambikan3Anup Jayaram4Naren Babu5Soham Gupta6Chiranjay Mukhopadhyay7Ujjwal Neogi8Manipal Institute of Virology, Manipal Academy of Higher Education, Manipal, Karnataka, IndiaDept of Infectious Diseases, Kasturba Medical College, Manipal, Karnataka, IndiaThe Systems Virology Lab, Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Biochemistry, School of Chemical and Life Sciences, Jamia Hamdard, Delhi, IndiaThe Systems Virology Lab, Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, SwedenManipal Institute of Virology, Manipal Academy of Higher Education, Manipal, Karnataka, IndiaManipal Institute of Virology, Manipal Academy of Higher Education, Manipal, Karnataka, IndiaThe Systems Virology Lab, Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, SwedenManipal Institute of Virology, Manipal Academy of Higher Education, Manipal, Karnataka, India; Center for Emerging and Tropical Diseases, Manipal Academy of Higher Education, Manipal, Karnataka, India; Corresponding authors.Manipal Institute of Virology, Manipal Academy of Higher Education, Manipal, Karnataka, India; The Systems Virology Lab, Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden; Corresponding authors.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.http://www.sciencedirect.com/science/article/pii/S016817022300268XCytokine stormDengue severityTemporal Analysis |
spellingShingle | Puneet Bhatt Muralidhar Varma Vikas Sood Anoop Ambikan Anup Jayaram Naren Babu Soham Gupta Chiranjay Mukhopadhyay Ujjwal Neogi Temporal cytokine storm dynamics in dengue infection predicts severity Virus Research Cytokine storm Dengue severity Temporal Analysis |
title | Temporal cytokine storm dynamics in dengue infection predicts severity |
title_full | Temporal cytokine storm dynamics in dengue infection predicts severity |
title_fullStr | Temporal cytokine storm dynamics in dengue infection predicts severity |
title_full_unstemmed | Temporal cytokine storm dynamics in dengue infection predicts severity |
title_short | Temporal cytokine storm dynamics in dengue infection predicts severity |
title_sort | temporal cytokine storm dynamics in dengue infection predicts severity |
topic | Cytokine storm Dengue severity Temporal Analysis |
url | http://www.sciencedirect.com/science/article/pii/S016817022300268X |
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