Serum Cytokine Profiling Differentiates Underlying Diseases in Cytokine Storm Syndrome
Authors' conclusion
Serum cytokine profiling effectively differentiates CSS subtypes, facilitating better diagnosis and personalized treatment strategies based on specific disease backgrounds.
Study context
- Population
- Adult and pediatric patients with cytokine storm syndrome (CSS) (primary and secondary hemophagocytic lymphohistiocytosis (HLH) and Kawasaki disease (KD)-like hyperinflammatory syndromes) and healthy controls143 CSS, 22 healthy controls
- Participants
- 165 participants
- Exposure
- Serum cytokine profiles across underlying diseases of CSS and healthy controls
- Outcome
- Serum cytokine profiles (IFN-α, IL-18, IL-6, CXCL9, sTNF-RII) distinguishing underlying diseases of CSS
Methodological detailsbead-based multiplex immunoassay (Luminex), enzyme-linked immunosorbent assay (ELISA)
- Bead-based multiplex immunoassay (Luminex)
- ELISA
Main finding
As reported in the abstract
Serum cytokine patterns by underlying disease
- Luminex assay (48 cytokines, 97 patients) categorized CSS patients into five clusters
- 5
Observational data: associations, not effects.
Original publication
Serum Cytokine Profiling Differentiates Underlying Diseases in Cytokine Storm Syndrome. Arthritis Rheumatol. Published 30 November 2025. doi:10. 1002/ art. 43349
Composed by AI from the published abstract and checked against it. How Briefs are made →