Cytokine profile in Egyptian children and adolescents with COVID-19 pneumonia: A multicenter study.

ABSTRACT:

Background

To date, the cytokine profile in children and adolescent with novel coronavirus disease 2019 (COVID-19) has not been reported.

Objectives

We investigated serum levels of a panel of key cytokines in children and adolescent with COVID-19 pneumonia with a primary focus on "cytokine storm" cytokines such as interleukin (IL)-1β, IL-6, IL-17, IL-2, IL-4, IL-10, interferon (IFN-γ), tumor necrosis factor (TNF)-α, and two chemokines interferon-inducible protein-10 (IP-10) and IL-8. We also studied whether these cytokines could be potential markers for illness severity in COVID-19 pneumonia.

Methods

Ninety-two symptomatic patients aged less than 18 years with confirmed COVID-19 pneumonia and 100 well-matched healthy controls were included in this multi-center study. For all patients, the presence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in respiratory fluid specimens was detected by real-time reverse-transcriptase polymerase chain reaction. We measured serum concentrations of studied cytokines by using flow cytometry.

Results

Patients with COVID-19 had significantly higher median IL-1β, IL-6, IL-8, IL-10, IL-17, TNF-α, and IP-10 serum levels than did control children (all p < 0.01). Patients with severe COVID-19 pneumonia had significantly higher median IL-1β, IL-6, and IP-10 serum levels as compared with those with moderate COVID-19 pneumonia; all p < 0.01. ROC analysis revealed that three of the studied markers (IL-6, IL-1β, and IP-10) could predict severe COVID-19 pneumonia cases with the largest AUC for IL-6 of 0.893 (95% confidence interval: 0.84-0.98; p < 0.01).

Conclusion

Our study shows that pediatric patients with COVID-19 pneumonia have markedly elevated serum IL-1β, IL-6, IL-8, IL-10, IL-17, TNF-α, and IP-10 levels at the initial phase of the illness indicating a cytokine storm following SARS-CoV-2 infection. Moreover, serum IL-6, IL-1β, and IP-10 concentrations were independent predictors for severe COVID-19 pneumonia.

SUBMITTER: Shafiek HK 

PROVIDER: S-EPMC8661994 | biostudies-literature |

REPOSITORIES: biostudies-literature