IL 33 Correlates With COVID-19 Severity, Radiographic and Clinical Finding

dc.citation.spage749569
dc.citation.volume8
dc.contributor.authorSekulic Markovic, Sofija
dc.contributor.authorJovanovic, Marina
dc.contributor.authorGajovic, Nevena
dc.contributor.authorJurisevic, Milena
dc.contributor.authorArsenijevic, Nebojsa
dc.contributor.authorJovanovic, Milan
dc.contributor.authorMijailovic, Zeljko
dc.contributor.authorLukic, Snezana
dc.contributor.authorZornic, Nenad
dc.contributor.authorVukicevic, Vladimir
dc.contributor.authorStojanovic, Jasmina
dc.contributor.authorMaric, Veljko
dc.contributor.authorJocic, Miodrag
dc.contributor.authorJovanovic, Ivan
dc.date.accessioned2023-10-18T12:16:25Z
dc.date.available2023-10-18T12:16:25Z
dc.date.issued2021
dc.description.abstractObjective: The increased level of interleukin (IL)-33 is considered as a predictor of severe coronavirus disease 2019 (COVID-19) infection, but its role at different stages of the disease is still unclear. Our goal was to analyze the correlation of IL-33 and other innate immunity cytokines with disease severity. Methods: In this study, 220 patients with COVID-19 were included and divided into two groups, mild/moderate and severe/critical. The value of the cytokines, clinical, biochemical, radiographic data was collected and their correlation with disease severity was analyzed. Results: Most patients in the severe/critical group were male (81.8%) and older (over 64.5 years). We found a statistically significant difference (p < 0.05) in these two groups between clinical features (dyspnea, dry cough, fatigue, and auscultatory findings); laboratory [(neutrophil count, lymphocyte count, monocyte count, hemoglobin, plasma glucose, urea, creatinine, total bilirubin (TBIL), direct bilirubin (DBIL), aspartate aminotransferase (AST), albumin (ALB), lactate dehydrogenase (LDH), creatinine kinase (CK), D-dimer, C-reactive protein (CRP), procalcitonin (PCT), Fe, and Ferritin)], arterial blood gases (oxygen saturation-Sa02, partial pressure of oxygen -p02), and chest X-rays (CXR) lung findings (p = 0.000). We found a significantly higher serum concentration (p < 0.05) of TNF-a, IL-1b, IL-6, IL-12, IL-23, and IL-33 in patients with COVID-19 with severe disease. In the milder stage of COVID-19, a positive correlation was detected between IL-33 and IL-1b, IL-12 and IL-23, while a stronger positive correlation between the serum values of IL-33 and TNF-a, IL-1b, IL-6, and IL-12 and IL-23 was detected in patients with COVID-19 with severe disease. A weak negative correlation (p < 0.05) between pO2 and serum IL-1b, IL-12, and IL-33 and between SaO2 and serum IL-33 was noted. The positive relation (p < 0.05) between the serum values of IL-33 and IL-12, IL-33 and IL-6, and IL-6 and IL-12 is proven. Conclusion: In a more progressive stage of COVID-19, increased IL-33 facilitates lung inflammation by inducing the production of various innate proinflammatory cytokines (IL-1b, IL-6, TNF-a, IL-12, and IL-23) in several target cells leading to the most severe forms of the disease. IL-33 correlates with clinical parameters of COVID-19 and might represent a promising marker as well as a therapeutic target in COVID-19.
dc.identifier.doi10.3389/fmed.2021.749569
dc.identifier.urihttps://vaseljena.ues.rs.ba/handle/123456789/838
dc.language.isoen
dc.publisherFrontiers
dc.sourceFrontiers in Medicine
dc.subjectIL 33, COVID-19, disease severity, correlation, proinflammatory innate immune response
dc.titleIL 33 Correlates With COVID-19 Severity, Radiographic and Clinical Finding
dc.typeArticle
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