Serum Cytokine Profiling Differentiates Underlying Diseases in Cytokine Storm Syndrome

Shuya Kaneko1, Maho Hatano1, Asami Shimbo1

  • 1Department of Pediatrics and Developmental Biology, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.

Insights

Serum cytokine profiling helps distinguish subtypes of cytokine storm syndrome (CSS), a severe hyperinflammatory condition. This aids in diagnosing underlying diseases like hemophagocytic lymphohistiocytosis (HLH) for tailored treatments.

Area of Science:

  • Immunology
  • Clinical Medicine
  • Biochemistry

Background:

  • Cytokine storm syndrome (CSS) is a life-threatening hyperinflammatory state, often linked to hemophagocytic lymphohistiocytosis (HLH).
  • Accurate differentiation of underlying causes of CSS is crucial for initiating prompt and effective therapeutic interventions.
  • Identifying specific etiological drivers of CSS is a significant clinical challenge.

Purpose of the Study:

  • To evaluate the clinical utility of serum cytokine profiling in differentiating various underlying diseases causing CSS.
  • To explore distinct cytokine signatures associated with different CSS subtypes.

Main Methods:

  • Serum samples were collected from 143 patients with CSS and 22 healthy controls.
  • Cytokine levels (48 analytes) were measured using Luminex assay in 97 patients.
  • Specific cytokines (IFN-α, IL-18, IL-6, CXCL9, sTNF-RII) were quantified via ELISA in 165 participants.

Main Results:

  • Serum cytokine patterns, analyzed by Luminex, revealed five distinct patient clusters.
  • ELISA identified specific cytokine elevations: IFN-α in HLH-associated with histiocytic necrotizing lymphadenitis and SLE-MAS; IL-18 in sJIA/ASD-MAS, XIAP deficiency-HLH, and NLRC4-autoinflammatory disorder.
  • Elevated IL-6 was observed in KD shock syndrome, while CXCL9 was significantly increased in virus-associated HLH, familial HLH, lymphoma-associated HLH, and KD-MAS.

Conclusions:

  • Serum cytokine profiling serves as an effective tool for differentiating CSS subtypes.
  • This approach can guide more precise diagnoses and inform personalized treatment strategies for CSS patients.
  • Understanding specific cytokine signatures aids in tailoring therapies based on the underlying disease etiology.
Abstract