Document Detail


Can a systems biology approach unlock the mysteries of Kawasaki disease?
MedLine Citation:
PMID:  23293016     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Kawasaki disease (KD) is a systemic inflammatory illness of childhood that particularly affects the coronary arteries. It can lead to coronary artery aneurysms, myocardial infarction, and sudden death. Clinical and epidemiologic data support an infectious cause, and the etiology remains unknown, but recent data support infection with a 'new' virus. Genetic factors influence KD susceptibility; the incidence is 10-fold higher in children of Asian when compared with Caucasian ethnicity. Recent research has identified genes affecting immune response that are associated with KD susceptibility and outcome. A re-examination of the pathologic features of KD has yielded a three process model of KD vasculopathy, providing a framework for understanding the KD arterial immune response and the damage it inflicts and for identifying new therapeutic targets for KD patients with coronary artery abnormalities. The researcher is faced with many challenges in determining the pathogenesis of KD. A systems biology approach incorporating genomics, proteomics, transcriptomics, and microbial bioinformatics analysis of high-throughput sequence data from KD tissues could provide the keys to unlocking the mysteries of this potentially fatal illness of childhood.
Authors:
Anne H Rowley
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Publication Detail:
Type:  Journal Article; Review     Date:  2013-01-04
Journal Detail:
Title:  Wiley interdisciplinary reviews. Systems biology and medicine     Volume:  5     ISSN:  1939-005X     ISO Abbreviation:  Wiley Interdiscip Rev Syst Biol Med     Publication Date:    2013 Mar-Apr
Date Detail:
Created Date:  2013-01-29     Completed Date:  2013-07-08     Revised Date:  2014-06-03    
Medline Journal Info:
Nlm Unique ID:  101516550     Medline TA:  Wiley Interdiscip Rev Syst Biol Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  221-9     Citation Subset:  IM    
Copyright Information:
Copyright © 2013 Wiley Periodicals, Inc.
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MeSH Terms
Descriptor/Qualifier:
Humans
Mucocutaneous Lymph Node Syndrome / pathology*
Systems Biology*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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