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Understanding the Pathogenesis of Kawasaki Disease by Network and Pathway Analysis.

Authors :
Lv, Yu-wen
Jing Wang
Ling Sun
Zhang, Jian-min
Lei Cao
Ding, Yue-yue
Ye Chen
Dou, Ji-juan
Jie Huang
Tang, Yi-fei
Wu, Wen-tao
Cui, Wei-rong
Lv, Hai-tao
Source :
Computational & Mathematical Methods in Medicine. Jan2013, p1-17. 17p. 2 Diagrams, 3 Charts, 1 Graph.
Publication Year :
2013

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 thismysterious illness fromcandidate 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 ofNF-ATsignal and leukocyte interactions combinedwith another transcription factorNF-kB 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1748670X
Database :
Academic Search Index
Journal :
Computational & Mathematical Methods in Medicine
Publication Type :
Academic Journal
Accession number :
87409954
Full Text :
https://doi.org/10.1155/2013/989307