Understanding the Pathogenesis of Kawasaki Disease by Network and Pathway Analysis
Joint Authors
Wu, Wen-tao
Ding, Yue-yue
Cui, Wei-rong
Zhang, Jian-min
Tang, Yi-fei
Wang, Jing
Chen, Ye
Cao, Lei
Lv, Hai-tao
Lv, Yu-wen
Dou, Ji-juan
Huang, Jie
Sun, Ling
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-06
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
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-κB 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.
American Psychological Association (APA)
Lv, Yu-wen& Wang, Jing& Sun, Ling& Zhang, Jian-min& Cao, Lei& Ding, Yue-yue…[et al.]. 2013. Understanding the Pathogenesis of Kawasaki Disease by Network and Pathway Analysis. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-17.
https://search.emarefa.net/detail/BIM-513987
Modern Language Association (MLA)
Lv, Yu-wen…[et al.]. Understanding the Pathogenesis of Kawasaki Disease by Network and Pathway Analysis. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-17.
https://search.emarefa.net/detail/BIM-513987
American Medical Association (AMA)
Lv, Yu-wen& Wang, Jing& Sun, Ling& Zhang, Jian-min& Cao, Lei& Ding, Yue-yue…[et al.]. Understanding the Pathogenesis of Kawasaki Disease by Network and Pathway Analysis. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-17.
https://search.emarefa.net/detail/BIM-513987
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-513987