Comput Math Methods Med - Understanding the pathogenesis of Kawasaki disease by network and pathway analysis.

Tópicos

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{ detect(2391) sensit(1101) algorithm(908) }

Resumo

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- 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.

Resumo Limpo

kawasaki diseas kd complex diseas lead damag multisystem pathogen trigger sophist diseas still unknown sinc first report increas knowledg effect gene kd extract statist signific gene far associ mysteri ill candid gene studi genomewid associ studi gene contribut suscept kd coronari arteri lesion resist initi ivig treatment incomplet kd gene ontolog categori pathway analyz relationship among statist signific gene gene repres varieti function categori includ immun respons inflammatori respons cellular calcium ion homeostasi main enrich pathway immun respons highlight compel immun pathway nfat signal leukocyt interact combin anoth transcript factor nf b pathogenesi kd string analysi network analysi focus protein interact valid close contact gene impli import pathway data will contribut understand pathogenesi kd

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