title: Understanding the pathogenesis of Kawasaki disease by network and pathway analysis.
abstract: Kawasaki disease (KD) is a complex disease, leading to the damage of multisystems. The pathogen that triggers this sophisticated disease is still unknown since it was first reported in 1967. To increase our knowledge on the effects of genes in KD, we extracted statistically significant genes so far associated with this mysterious illness from candidate gene studies and genome-wide association studies. These genes contributed to susceptibility to KD, coronary artery lesions, resistance to initial IVIG treatment, incomplete KD, and so on. Gene ontology category and pathways were analyzed for relationships among these statistically significant genes. These genes were represented in a variety of functional categories, including immune response, inflammatory response, and cellular calcium ion homeostasis. They were mainly enriched in the pathway of immune response. We further highlighted the compelling immune pathway of NF-AT signal and leukocyte interactions combined with another transcription factor NF- κ B in the pathogenesis of KD. STRING analysis, a network analysis focusing on protein interactions, validated close contact between these genes and implied the importance of this pathway. This data will contribute to understanding pathogenesis of KD.
authors.affiliation: Department of Pediatric Cardiology, Children's Hospital of Soochow University, Suzhou 215003, China.
authors.forename: Yu-wen
authors.initials: YW
authors.lastname: Lv
authors.forename: Jing
authors.initials: J
authors.lastname: Wang
authors.forename: Ling
authors.initials: L
authors.lastname: Sun
authors.forename: Jian-min
authors.initials: JM
authors.lastname: Zhang
authors.forename: Lei
authors.initials: L
authors.lastname: Cao
authors.forename: Yue-yue
authors.initials: YY
authors.lastname: Ding
authors.forename: Ye
authors.initials: Y
authors.lastname: Chen
authors.forename: Ji-juan
authors.initials: JJ
authors.lastname: Dou
authors.forename: Jie
authors.initials: J
authors.lastname: Huang
authors.forename: Yi-fei
authors.initials: YF
authors.lastname: Tang
authors.forename: Wen-tao
authors.initials: WT
authors.lastname: Wu
authors.forename: Wei-rong
authors.initials: WR
authors.lastname: Cui
authors.forename: Hai-tao
authors.initials: HT
authors.lastname: Lv
mesh_terms: D002648:Child; D019295:Computational Biology / Q000379:methods; D030541:Databases, Genetic; D053263:Gene Regulatory Networks; D020022:Genetic Predisposition to Disease; D055106:Genome-Wide Association Study; D006801:Humans; D007249:Inflammation; D007962:Leukocytes / Q000166:cytology; D015810:Linkage Disequilibrium; D053858:Metabolic Networks and Pathways; D015233:Models, Statistical; D009080:Mucocutaneous Lymph Node Syndrome / Q000503:physiopathology*; D016328:NF-kappa B / Q000378:metabolism; D050778:NFATC Transcription Factors / Q000378:metabolism; D020641:Polymorphism, Single Nucleotide; D015398:Signal Transduction
chemical_list: D016328:NF-kappa B; D050778:NFATC Transcription Factors