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2023 | 4 | 750-755

Article title

Serum levels of IFN-γ and IL-4 in hospitalised COVID-19 patients – evidence of reduced cytokine storm in discharged patients

Content

Title variants

Languages of publication

Abstracts

EN
Introduction and aim. Coronavirus disease 2019 is characterised by cytokine storm and it was managed with repurposed drugs, however the effect of this treatment on cytokine storm is unknown. The aim of the study was to investigate the effect of repurposed management on serum Th1 pro-inflammation cytokine (IFN-γ) and Th2 anti-inflammation cytokine (IL-4) in COVID-19 patients. Material and methods. The levels of IFN-γ and IL-4 were determined in sera from 45 COVID-19 patients at admission followed-up till discharge after repurposed treatment using ELISA. The mean levels and proportions above normal reference ranges of IFN-γ and IL-4 were compared in COVID-19 at admission and discharge. Results. The mean values of IFN-γ and IL-4 were significantly higher in COVID-19 patients at admission compared with discharged COVID-19 patients whereas IFN-γ:IL-4 ratio was significantly higher in discharged COVID-19 patients compared with admitted COVID-19 patients. Significantly higher proportion of COVID-19 patients at discharge had IFN-γ within the normalreference ranges compared with COVID-19 patients at admission whereas the proportions of COVID-19 patients at discharge and COVID-19 patients at admission having IL-4 within the normal reference ranges were the same. Conclusion. Cytokine storm was evidenced in COVID-19 patients at admission and repurposed treatment suppressed pro-inflammation cytokine (IFN-γ) in most discharged COVID-19 patients.

Year

Issue

4

Pages

750-755

Physical description

Dates

published
2023

Contributors

  • Department of Immunology, University of Ibadan, Nigeria
  • Department of Immunology, University of Ibadan, Nigeria
  • Department of Family Planning, University College Hospital, Ibadan, Nigeria
  • Independent Researcher, Ipswich, United Kingdom

References

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
29520462

YADDA identifier

bwmeta1.element.ojs-doi-10_15584_ejcem_2023_4_14
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