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