Diagnostic Value of Serum Level of Interleukin 33 (IL-33), C-C Motif Chemokine Ligand 17 (CCL17) and Interferon Gamma Inducible Protein-10 (IP-10) in Coronavirus Disease 2019 (COVID-19) Patients | ||||
Egyptian Journal of Medical Microbiology | ||||
Article 4, Volume 31, Issue 1, January 2022, Page 23-30 PDF (491.34 K) | ||||
Document Type: New and original researches in the field of Microbiology. | ||||
DOI: 10.21608/ejmm.2022.211933 | ||||
View on SCiNiTO | ||||
Authors | ||||
Nouran Magdy Moustafa 1; Rania A. Mohamed2; Rania G. Elsaid3; Fatma M. Mahmoud2 | ||||
1Basic Medical Science Department, Faculty of Medicine, Dar Al Uloom University, Riyadh, Saudi Arabia | ||||
2Medical Microbiology & Immunology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt | ||||
3Anesthesia, Intensive Care and Pain Management Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt | ||||
Abstract | ||||
Background: Coronavirus disease 2019 (COVID-19) has a diverse course; It seems to be asymptomatic or may produce mild symptoms which occurs in majority of the cases, however cytokine storm, macrophage activation syndrome (MAS), and acute respiratory distress syndrome (ARDS) could also happen as complications in some patients. Objective: This study aims to evaluate the serum level of IL-33, CCL17 and IP-10 in moderate and severe cases of COVID-19 and its diagnostic value. Methodology: IL-33, CCL17 and IP-10 were measured in the serum specimens of 40 cases of COVID-19, including 20 severe and 20 moderate patients, and compared with 20 healthy controls. Results: The values of IL-33, CCL17 and IP-10 were significantly higher in COVID-19 cases over than healthy controls. IL-33, CCL17 and IP-10 were excellent predictors for COVID-19, and the three cytokines together exhibited the greatest area under the curve (0.957). Conclusions: In this study, we report biomarkers that are highly associated with COVID-19 and can be used as diagnostic biomarkers. These findings aid to our understanding of the immunopathology of SARS CoV2 infection and provide potential targets and strategies for therapy. | ||||
Keywords | ||||
SARS CoV- 2; IL-33; CCL17; IP-10; Cytokine Storm; COVID-19 | ||||
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