Serologic and Cytokine Signatures in Children With Multisystem Inflammatory Syndrome and Coronavirus Disease 2019

Stacey A Lapp1,2, Joseph Abrams3, Austin T Lu1,2

  • 1Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA.

Insights

Children with multisystem inflammatory syndrome (MIS-C) have higher SARS-CoV-2 antibody levels and acute inflammation compared to COVID-19. Elevated cytokines in MIS-C patients were linked to longer hospital stays.

Area of Science:

  • Pediatric immunology
  • Infectious diseases
  • Virology

Background:

  • The immune response in children with multisystem inflammatory syndrome (MIS-C) compared to COVID-19 is not well understood.
  • Investigating serologic and cytokine differences is crucial for understanding MIS-C pathogenesis.

Purpose of the Study:

  • To compare the serologic and cytokine profiles of children hospitalized with MIS-C versus acute COVID-19.
  • To identify specific cytokine signatures associated with MIS-C and clinical outcomes.

Main Methods:

  • A prospective, cross-sectional study involving hospitalized children with MIS-C, acute COVID-19, and healthy controls.
  • Measurement of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike receptor-binding domain (RBD) immunoglobulin G (IgG) titers and cytokine levels.
  • Multivariable analysis to identify cytokine signatures linked to MIS-C and prolonged hospitalization.

Main Results:

  • Children with MIS-C exhibited significantly higher SARS-CoV-2 RBD IgG titers than those with acute COVID-19.
  • MIS-C was characterized by acute hypercytokinemia, with elevated levels of IL-6, IL-10, IL-17A, and IFN-γ.
  • Elevated levels of at least three key cytokines were associated with a higher prevalence of prolonged hospitalization (≥8 days).

Conclusions:

  • MIS-C is associated with elevated SARS-CoV-2 RBD IgG antibody titers and acute hypercytokinemia.
  • Specific cytokines (IL-6, IL-10, IL-17A, IFN-γ) are characteristic of the acute phase of MIS-C.
  • Cytokine profiles may serve as biomarkers for disease severity and duration in MIS-C.
Abstract