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Published on: November 10, 2021
Profile of Urinary Cytokines in Kawasaki Disease: Non-Invasive Markers
Hsin-Chun Huang1,2, Ho-Chang Kuo1,3, Hong-Ren Yu1
1Department of Pediatrics, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 833, Taiwan.
Insights
Urinary cytokine analysis offers a novel, non-invasive method for detecting Kawasaki disease (KD). This study found distinct urinary cytokine profiles in KD patients, aiding in early detection and potential complication prediction.
Area of Science:
- Pediatrics
- Immunology
- Biochemistry
Background:
- Kawasaki disease (KD) diagnosis relies on clinical criteria, often requiring invasive procedures for confirmation.
- Identifying non-invasive biomarkers for KD is crucial for early detection and management.
- Urinary cytokines represent a potential, less invasive source of biomarkers compared to serum analysis.
Purpose of the Study:
- To investigate urinary cytokine expression patterns in patients with Kawasaki disease.
- To explore the potential of urinary cytokines as non-invasive biomarkers for KD diagnosis and monitoring.
- To correlate urinary cytokine levels with disease severity, specifically coronary artery lesions (CAL).
Main Methods:
- A cohort study involving patients with confirmed KD, fever-control (FC), and urinary tract infection (UTI) groups.
- Collection of urine samples pre- and post-intravenous immunoglobulin (IVIG) treatment for KD patients.
- Multiplex assay (MILLPLEX® MAP) used to quantify a panel of 17 urinary cytokines.
Main Results:
- Most urinary cytokines were significantly elevated in KD patients compared to the FC group.
- Specific cytokines (IFN-γ, IL-1β, IL-6, IL-8, IL-17A, IL-33, MCP-1, MIP-1β, TNF-α) showed lower levels in KD patients versus the UTI group.
- Urinary IL-6, IL-8, IL-13, IP-10, and MCP-1 levels decreased after IVIG treatment.
- Elevated urine IL-4 and blood C-reactive protein were associated with coronary artery lesions (CAL) in KD patients.
Conclusions:
- Urinary cytokine profiling provides a novel perspective on Kawasaki disease pathogenesis and progression.
- This approach may facilitate early and non-invasive prediction and prevention of KD-related morbidities.
- Urinary biomarkers could complement existing diagnostic methods for KD, especially in identifying patients at risk for CAL.
Abstract:
This cohort study aimed to investigate urinary cytokines expression to help identify a less invasive method of cytokine detection for Kawasaki disease (KD). Patients with confirmed KD were recruited. Patients with fever or urinary tract infection (UTI) were enrolled as control groups. Urinary samples were collected before and 3 days after intravenous immunoglobulin (IVIG) treatment. The levels of cytokines were detected by MILLPLEX® MAP human multiplex assay. All cytokines, i.e., epidermal growth factor (EGF), interferon (IFN)-γ, interleukin (IL)-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-9, IL-10, IL-13, IL-17A, IL-33, interferon-gamma-induced protein (IP)-10, macrophage inflammatory protein (MIP)-1β, tumor necrosis factor (TNF)-α, and vascular endothelial growth factor (VEGF) except monocyte chemoattractant protein (MCP)-1 were significantly higher in the KD group, compared with the fever-control (FC) group, whereas the expressions of IFN-γ, IL-1β, IL-6, IL-8, IL-17A, IL-33, MCP-1, MIP-1β, and TNF-α were significantly lower in the urine of KD patients, as compared with the UTI group. The expressions of EGF, IFN-γ, IL-8, IL-13, and IL-17A were higher in the urine of KD patients than in the FC group, whereas the level of IL-1β was lower in KD than in the UTI group after age adjustment by logistic regression. Levels of IL-6, IL-8, IL-13, IP-10, and MCP-1 were significantly higher in the pre-IVIG urine of KD patients than in the post-IVIG treatment group. Additionally, urine IL-4 and blood C-reactive protein were higher in the KD group with coronary artery lesion (CAL) than in the non-CAL group. Results of this study provide a new view of urinary cytokine expression in the disease progress of KD, which may help clinicians to predict and prevent morbidity early and non-invasively.
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