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Cytokine Kinetics during Progression of COVID-19 in Rwanda Patients: Could IL-9/IFNγ Ratio Predict Disease Severity?
For effective treatments and preventive measures against severe COVID-19, it is essential to determine early markers of disease severity in different populations. We analysed the cytokine kinetics of 129 COVID-19 patients with mild symptoms, 68 severe cases, and 20 healthy controls for the first tim...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418469/ https://www.ncbi.nlm.nih.gov/pubmed/37569646 http://dx.doi.org/10.3390/ijms241512272 |
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author | Ndoricyimpaye, Ella Larissa Van Snick, Jacques Robert, Rutayisire Bikorimana, Emmanuel Majyambere, Onesphore Mukantwari, Enatha Nshimiyimana, Thaddée Mbonigaba, Valens Coutelier, Jean Paul Rujeni, Nadine |
author_facet | Ndoricyimpaye, Ella Larissa Van Snick, Jacques Robert, Rutayisire Bikorimana, Emmanuel Majyambere, Onesphore Mukantwari, Enatha Nshimiyimana, Thaddée Mbonigaba, Valens Coutelier, Jean Paul Rujeni, Nadine |
author_sort | Ndoricyimpaye, Ella Larissa |
collection | PubMed |
description | For effective treatments and preventive measures against severe COVID-19, it is essential to determine early markers of disease severity in different populations. We analysed the cytokine kinetics of 129 COVID-19 patients with mild symptoms, 68 severe cases, and 20 healthy controls for the first time in Rwanda. Pro-inflammatory (IFNγ, IL-6, TNFα), Treg (IL-10, TGFβ1, TGFβ3), Th9 (IL-9), Th17 (IL-17), and Th2 (IL-4, IL-13) cytokines, total IgM and IgG, as well as gene expressions of FoxP3, STAT5+, IFNγ-R1, and ROR alpha+, were measured at day 1, day 7, day 14, day 21, and day 28 post-infection. Severe cases showed a significantly stronger increase than mild patients in levels of all cytokines (except IL-9) and all gene expression on day 1 of infection. Some cytokine levels dropped to levels comparable to mild cases at later time points. Further analysis identified IFNγ as a marker of severity throughout the disease course, while TGFβ1, IL-6, and IL-17 were markers of severity only at an early phase. Importantly, this study revealed a striking low IL-9 level and high IFNγ/IL-9 ratio in the plasma of patients who later died compared to mild and severe cases who recovered, suggesting that this could be an important biomarker for predicting the severity of COVID-19 and post-COVID-19 syndrome. |
format | Online Article Text |
id | pubmed-10418469 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104184692023-08-12 Cytokine Kinetics during Progression of COVID-19 in Rwanda Patients: Could IL-9/IFNγ Ratio Predict Disease Severity? Ndoricyimpaye, Ella Larissa Van Snick, Jacques Robert, Rutayisire Bikorimana, Emmanuel Majyambere, Onesphore Mukantwari, Enatha Nshimiyimana, Thaddée Mbonigaba, Valens Coutelier, Jean Paul Rujeni, Nadine Int J Mol Sci Article For effective treatments and preventive measures against severe COVID-19, it is essential to determine early markers of disease severity in different populations. We analysed the cytokine kinetics of 129 COVID-19 patients with mild symptoms, 68 severe cases, and 20 healthy controls for the first time in Rwanda. Pro-inflammatory (IFNγ, IL-6, TNFα), Treg (IL-10, TGFβ1, TGFβ3), Th9 (IL-9), Th17 (IL-17), and Th2 (IL-4, IL-13) cytokines, total IgM and IgG, as well as gene expressions of FoxP3, STAT5+, IFNγ-R1, and ROR alpha+, were measured at day 1, day 7, day 14, day 21, and day 28 post-infection. Severe cases showed a significantly stronger increase than mild patients in levels of all cytokines (except IL-9) and all gene expression on day 1 of infection. Some cytokine levels dropped to levels comparable to mild cases at later time points. Further analysis identified IFNγ as a marker of severity throughout the disease course, while TGFβ1, IL-6, and IL-17 were markers of severity only at an early phase. Importantly, this study revealed a striking low IL-9 level and high IFNγ/IL-9 ratio in the plasma of patients who later died compared to mild and severe cases who recovered, suggesting that this could be an important biomarker for predicting the severity of COVID-19 and post-COVID-19 syndrome. MDPI 2023-07-31 /pmc/articles/PMC10418469/ /pubmed/37569646 http://dx.doi.org/10.3390/ijms241512272 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ndoricyimpaye, Ella Larissa Van Snick, Jacques Robert, Rutayisire Bikorimana, Emmanuel Majyambere, Onesphore Mukantwari, Enatha Nshimiyimana, Thaddée Mbonigaba, Valens Coutelier, Jean Paul Rujeni, Nadine Cytokine Kinetics during Progression of COVID-19 in Rwanda Patients: Could IL-9/IFNγ Ratio Predict Disease Severity? |
title | Cytokine Kinetics during Progression of COVID-19 in Rwanda Patients: Could IL-9/IFNγ Ratio Predict Disease Severity? |
title_full | Cytokine Kinetics during Progression of COVID-19 in Rwanda Patients: Could IL-9/IFNγ Ratio Predict Disease Severity? |
title_fullStr | Cytokine Kinetics during Progression of COVID-19 in Rwanda Patients: Could IL-9/IFNγ Ratio Predict Disease Severity? |
title_full_unstemmed | Cytokine Kinetics during Progression of COVID-19 in Rwanda Patients: Could IL-9/IFNγ Ratio Predict Disease Severity? |
title_short | Cytokine Kinetics during Progression of COVID-19 in Rwanda Patients: Could IL-9/IFNγ Ratio Predict Disease Severity? |
title_sort | cytokine kinetics during progression of covid-19 in rwanda patients: could il-9/ifnγ ratio predict disease severity? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418469/ https://www.ncbi.nlm.nih.gov/pubmed/37569646 http://dx.doi.org/10.3390/ijms241512272 |
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