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High-throughput technologies\u2014including genomics, transcriptomics, proteomics, metabolomics, epigenomics, and immunomics\u2014have 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\u2013neutrophil programs, Fc\u03b3-receptor signaling related to intravenous immunoglobulin (IVIG) pharmacodynamics, Ca\u00b2+\/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.<\/jats:p>","DOI":"10.3345\/cep.2025.02901","type":"journal-article","created":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T05:15:40Z","timestamp":1771996540000},"page":"197-210","update-policy":"https:\/\/doi.org\/10.3345\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multiomics approaches in Kawasaki disease: insights into pathogenesis and emerging directions for diagnosis and treatment"],"prefix":"10.3345","volume":"69","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5748-0015","authenticated-orcid":true,"given":"Jong 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