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Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
Published on: September 20, 2024
Multiomics approaches in Kawasaki disease: insights into pathogenesis and emerging directions for diagnosis and
Jong Gyun Ahn1,2,3, Insoo Kang3
1Department of Pediatrics, Severance Children's Hospital, Yonsei University College of Medicine, Seoul, Korea.
Insights
Kawasaki disease (KD) research uses multiomics to uncover inflammation and vascular pathways. Integration of these findings offers a framework for future biomarker discovery and therapeutic strategies in pediatric heart disease.
Area of Science:
- Pediatric Rheumatology
- Cardiovascular Research
- Genomics and Systems Biology
Background:
- Kawasaki disease (KD) is a critical pediatric vasculitis causing acquired heart disease.
- The exact cause and mechanisms linking inflammation to coronary artery damage in KD remain unclear.
- Advanced high-throughput technologies offer new insights into KD's complex pathophysiology.
Purpose of the Study:
- To review current multiomics applications in Kawasaki disease research.
- To identify and prioritize consistently supported inflammatory and vascular pathways in KD.
- To propose a roadmap for clinical translation of multiomics findings.
Main Methods:
- System-level profiling of KD using genomics, transcriptomics, proteomics, metabolomics, epigenomics, and immunomics.
- Integration of multiomics data to identify convergent mechanistic axes.
- Literature review of current multiomics applications and findings in KD.
Main Results:
- Multiomics data reveal reproducible inflammatory and vascular pathways in KD.
- Key pathways include IL-1/IL-6-neutrophil programs and Fcγ-receptor signaling.
- Evidence supports roles for T-cell activation and endothelial remodeling in coronary outcomes.
Conclusions:
- Multiomics integration provides a robust framework for KD biomarker discovery and therapeutic development.
- Further validation, standardized sampling, and scalable assays are needed for clinical implementation.
- Findings pave the way for improved risk stratification, disease monitoring, and outcome prediction in KD.
Abstract:
Kawasaki disease (KD) is an acute febrile vasculitis and the leading cause of acquired heart disease in children. Despite decades of research, the etiology remains unknown and key mechanisms linking systemic inflammation to coronary artery lesions are incompletely defined. High-throughput technologies-including genomics, transcriptomics, proteomics, metabolomics, epigenomics, and immunomics-have enabled systems-level profiling of KD and highlighted reproducible inflammatory and vascular pathways. Multiomics integration increasingly supports convergent mechanistic axes, particularly interleukin (IL-1/IL-6-neutrophil programs, Fcγ-receptor signaling related to intravenous immunoglobulin (IVIG) pharmacodynamics, Ca²+/nuclear factor of activated T cells-dependent T-cell activation, and endothelial/extracellular matrix remodeling associated with coronary outcomes. While these findings provide a robust framework for biomarker discovery and therapeutic hypothesis generation, most signatures remain investigational and require prospective validation, standardized sampling (pre-/post-IVIG), and clinically scalable assays before routine implementation. This review summarizes current multiomics applications in KD, prioritizes the most consistently supported pathways, and outlines a pragmatic roadmap toward clinically useful risk stratification, disease monitoring, and outcome prediction.
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