Cytokine profile in COVID-19 infection: focus on interleukin-13, interleukin-33, and tumor necrosis factor-α as immunological markers

Submitted: 6 October 2024
Accepted: 29 November 2024
Published: 25 March 2025
Abstract Views: 88
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SUPPLEMENTARY MATERIAL: 13
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COVID-19 is a pandemic disease that has a wide spectrum of symptoms from asymptomatic to severe fatal cases due to hyperactivation of the immune system and secretion of pro-inflammatory cytokines. This study aimed to assess the level and impact of interleukin (IL)-13, IL-33, and tumor necrosis factor (TNF)-α cytokines on immune responses in mild and moderate COVID-19-infected Iraqi patients. A prospective case-control study was conducted from January 2023 to January 2024; it included 80 patients infected with moderate COVID-19 infection who consulted in different private clinics and 40 healthy controls. The serum of both groups was tested for quantification of serum IL-13, IL-33, and TNF-α using the human enzyme-linked immunosorbent assay method. The mean age of the moderate COVID-19 patient group was 43.67±1.85 years, while the mean age of the healthy control group was 34.45±3.12 years with a statistically significant (p=0.0081), but there was no statistically significant difference in IL-13, IL-33, and TNF-α levels between the patients and control groups. This study highlights the importance of age, gender, and body mass index as risk factors associated with COVID-19 infection. There were no significant differences in IL-13, IL-33, and TNF-α levels between moderate COVID-19 patients and healthy controls. The receiver operating characteristic curve analysis of IL-13, IL-33, and TNF-α shows moderate potential (non-significant) as a biomarker for predicting mild and moderate COVID-19. Pearson correlation analysis showed a strong potential correlation between IL-13, IL-33, and TNF-α.

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Al-Zwaini IJ. Covid-19 and the conspiracy theories. Al-Kindy College Medical J 2021;17:126-7. DOI: https://doi.org/10.47723/kcmj.v17i3.744
Yousif WI. COVID-19 and alimentary tract: current evidence and recent recommendation. Al-Kindy College Medical J 2021;17:62-72. DOI: https://doi.org/10.47723/kcmj.v17i2.311
Dawood H, Hwayyiz A, Ibrahim I, Abdul Rahman I. The clinical features of COVID-19 in a group of Iraqi patients: a record review. J Fac Med Baghdad 2021;63:8-12. DOI: https://doi.org/10.32007/jfacmedbagdad.6311799
Lucijanić M, Piskač Živković N, Režić T, et al. The performance of the WHO COVID-19 severity classification, COVID-GRAM, VACO Index, 4C Mortality, and CURB-65 prognostic scores in hospitalized COVID-19 patients: data on 4014 patients from a tertiary center registry. Croat Med J 2023;64:13-20. DOI: https://doi.org/10.3325/cmj.2023.64.13
Hussein GF. Role of genetic variants AGT rs699 and ACE2 rs2106809 in increasing the risk and severity of COVID-19 infection in Iraqi patients. Iraqi J Sci 2024;65:1917-28. DOI: https://doi.org/10.24996/ijs.2024.65.4.12
Anka AU, Tahir MI, Abubakar SD. et al. Coronavirus disease 2019 (COVID-19): An overview of the immunopathology, serological diagnosis and management. Scand J Immunol 2021;93:e12998. DOI: https://doi.org/10.1111/sji.12998
Yokota S, Miyamae T, Kuroiwa Y, Nishioka K. Novel coronavirus disease 2019 (COVID-19) and cytokine storms for more effective treatments from an inflammatory pathophysiology. J Clin Med 2021;10:801. DOI: https://doi.org/10.3390/jcm10040801
Darif D, Hammi I, Kihel A, et al. The pro-inflammatory cytokines in COVID-19 pathogenesis: What goes wrong? Microb Pathog 2021;153:104799. DOI: https://doi.org/10.1016/j.micpath.2021.104799
Donlan AN, Sutherland TE, Marie C, et al. IL-13 is a driver of COVID-19 severity. JCI Insight 2021;6:e150107. DOI: https://doi.org/10.1172/jci.insight.150107
Gong T, Liu L, Jiang W, Zhou R. DAMP-sensing receptors in sterile inflammation and inflammatory diseases. Nat Rev Immunol 2020;20:95-112. DOI: https://doi.org/10.1038/s41577-019-0215-7
Markovic SS, Jovanovic M, Gajovic N, et al. IL 33 correlates with COVID-19 severity, radiographic and clinical finding. Front Med 2021;8:749569. DOI: https://doi.org/10.3389/fmed.2021.749569
Karki R, Sharma BR, Tuladhar S, et al. Synergism of TNF-α and IFN-γ triggers inflammatory cell death, tissue damage, and mortality in SARS-CoV-2 infection and cytokine shock syndromes. Cell 2021;184:149-68.e17. DOI: https://doi.org/10.1016/j.cell.2020.11.025
Zhang JJ, Dong X, Liu GH, Gao YD. Risk and protective factors for COVID-19 morbidity, severity, and mortality. Clin Rev Allergy Immunol 2023;64:90-107. DOI: https://doi.org/10.1007/s12016-022-08921-5
Ilardi A, Politi C, Ciarambino T. COVID-19: could sex and age be a risk factor? Minerva Med 2023;114:391-2. DOI: https://doi.org/10.23736/S0026-4806.20.06705-1
Srivastava S, Rathor R, Singh S, et al. Obesity: a risk factor for COVID-19. Adv Exp Med Biol 2021;1352:195-210. DOI: https://doi.org/10.1007/978-3-030-85109-5_12
Breland JY, Wong MS, Steers WN, et al. BMI and risk for severe COVID-19 among veterans health administration patients. Obesity 2021;29:825-8. DOI: https://doi.org/10.1002/oby.23121
Au Yeung SL, Li AM, He B, et al. Association of smoking, lung function and COPD in COVID-19 risk: a two-step Mendelian randomization study. Addiction 2022;117:2027-36. DOI: https://doi.org/10.1111/add.15852
Kamali Z, Vonk JM, Thio CHL, et al. Mendelian randomization cytokine screen reveals IL-13 as causal factor in risk of severe COVID-19. J Infect 2022;85:334-63. DOI: https://doi.org/10.1016/j.jinf.2022.05.024
Gao Y, Cai L, Li L, et al. Emerging effects of IL-33 on COVID-19. Int J Mol Sci 2022;23:13656. DOI: https://doi.org/10.3390/ijms232113656
Ramasamy S, Subbian S. Critical determinants of cytokine storm and type I interferon response in COVID-19 pathogenesis. Clin Microbiol Rev 2021;34:e00299-20. Erratum in: Clin Microbiol Rev 2021;34:e0016321. DOI: https://doi.org/10.1128/CMR.00163-21
Smail SW, Babaei E, Amin K, Abdulahad WH. Serum IL-23, IL-10, and TNF-α predict in-hospital mortality in COVID-19 patients. Front Immunol 2023;14:1145840. DOI: https://doi.org/10.3389/fimmu.2023.1145840
Iskandar A, Mayashinta DK, Sutrisnani CS, et al. Correlation between IL-6and age in covid-19; insight from a cross-sectional analysis in Malang, Indonesia. Baghdad Sci J 2024;21:1506-11. DOI: https://doi.org/10.21123/bsj.2023.9005
Radzikowska U, Ding M, Tan G, et al. Distribution of ACE2, CD147, CD26, and other SARS-CoV-2 associated molecules in tissues and immune cells in health and in asthma, COPD, obesity, hypertension, and COVID-19 risk factors. Allergy 2020;75:2829-45. DOI: https://doi.org/10.1111/all.14429

How to Cite

Saleem, H., Hazim, W., Mahdi, B. M., & Al-Iedani, M. S. (2025). Cytokine profile in COVID-19 infection: focus on interleukin-13, interleukin-33, and tumor necrosis factor-α as immunological markers. Italian Journal of Medicine, 19(1). https://doi.org/10.4081/itjm.2025.1823

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