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Title: | Low levels of CIITA and high levels of SOCS1 predict COVID-19 disease severity in children and adults |
Author: | Argüello González, Guillermo Bonet-Carne, Elisenda Girona, Mònica Esteve Sole, Ana Bobillo Perez, Sara Burgos-Artizzu, Xavier Paolo Mensa Vilaró, Anna Codina, Anna Hernández Garcia, María Jou, Cristina Alsina, Laia Jordan, Iolanda |
Others: | Universitat Oberta de Catalunya Universitat de Barcelona (UB) Institut de Recerca Sant Joan de Déu |
Citation: | Girona Alarcon, M et al. (2022). Low levels of CIITA and high levels of SOCS1 predict COVID-19 disease severity in children and adults. iScience (25), https://doi.org/10.1016/ j.isci.2021.103595 |
Abstract: | It is unclear why COVID-19 ranges from asymptomatic to severe. When SARS-CoV-2 is detected, interferon (IFN) response is activated. When it is insufficient or delayed, it might lead to overproduction of cytokines and severe COVID-19. The aim was to compare cytokine and IFN patterns in children and adults with differing severity with SARS-CoV-2.It was a prospective, observational study, including 84 patients. Patients with moderate/severe disease had higher cytokines' values than patients with mild disease (p< 0.001).Two IFN genes were selected to build a decision tree for severity classification: SOCS1 (representative of the rest of the IFN genes) and CIITA (inverse correlation). Low values of CIITA and high values of SOCS1 indicated severe disease. This method correctly classified 33/38(86.8%) of children and 27/34 (79.4%) of adults. To conclude, patients with severe disease had an elevated cytokine pattern, which correlated with the IFN response, with low CIITA and high SOCS1 values. |
Keywords: | COVID-19 SARS-CoV-2 interferon cytokines |
DOI: | http://doi.org/10.1016/j.isci.2021.103595 |
Document type: | info:eu-repo/semantics/article |
Version: | info:eu-repo/semantics/publishedVersion |
Issue Date: | 21-Jan-2022 |
Publication license: | https://creativecommons.org/licenses/by-nc-nd/4.0/ eu-repo/semantics/openAccess |
Appears in Collections: | Articles cientÍfics Articles |
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PIIS2589004221015650.pdf | 3,64 MB | Adobe PDF | View/Open |
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