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Understanding the pathogenesis of Kawasaki disease by network and pathway analysis.

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 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.

SUBMITTER: Lv YW

PROVIDER: S-EPMC3606754 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Understanding the pathogenesis of Kawasaki disease by network and pathway analysis.

Lv Yu-wen YW Wang Jing J Sun Ling L Zhang Jian-min JM Cao Lei L Ding Yue-yue YY Chen Ye Y Dou Ji-juan JJ Huang Jie J Tang Yi-fei YF Wu Wen-tao WT Cui Wei-rong WR Lv Hai-tao HT

Computational and mathematical methods in medicine 20130306

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 ...[more]

PMID: 23533546

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Project description:Background: Kawasaki disease (KD) is an acute self-limited vasculitis and the leading cause of acquired heart disease in children in developed countries. No etiologic agent(s) has been identified, and the processes that mediate formation of coronary artery aneurysms and abatement of fever following treatment with intravenous immunoglobulin (IVIG) remain poorly understood. Results: In an initial survey, we used DNA microarrays to examine patterns of gene expression in peripheral whole blood from 20 children with KD; each was sampled during the acute, subacute, and convalescent phases of the illness. Acute KD was characterized by increased relative abundance of gene transcripts associated with innate immune and proinflammatory responses and decreased abundance of transcripts associated with natural killer cells and CD8+ lymphocytes. There was significant temporal variation in transcript levels during the acute disease phase and stabilization thereafter. We confirmed these temporal patterns in a second cohort of 64 patients, and identified additional inter-individual differences in transcript abundance. Notably, higher levels of transcripts of the gene for carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1) were associated with an increased percentage of unsegmented neutrophils, fewer days of illness, higher levels of C-reactive protein, and subsequent non-response to IVIG; this last association was confirmed by quantitative reverse transcription PCR in a third cohort of 33 patients, and was independent of day of illness. Conclusions: Acute KD is characterized by dynamic and variable gene-expression programs that highlight the importance of neutrophil activation state and apoptosis in KD pathogenesis. Our findings also support the feasibility of extracting biomarkers associated with clinical prognosis from gene-expression profiles of individuals with systemic inflammatory illnesses. Whole blood (PAXgene tubes) was obtained from 64 Kawasaki disease patients prior to treatment. RNA was amplified using the MessageAmp kit (Ambion), and reverse transcribed. Each sample was labelled with Cy5, and hybridized to a Lymphochip cDNA array along with amplified human reference RNA labelled with Cy3(Universal Human Reference RNA, Stratagene). Analysis was restricted to those array elements (LUIDs) with signal intensity/background of at least 2.5 in either channel for at least 80% of the samples, and a regression correlation of 0.6. Patterns of gene expression were correlated with clinical parameters, including subsequent response to treatment with intravenous immunoglobulin (IVIG). A disease state experiment design type is where the state of some disease such as infection, pathology, syndrome, etc is studied. Phenotype: Patient responded (R) or not (NR) to IVIG therapy. Some patients were not classified because they were treated more than 10 days after onset of fever Keywords: disease_state_design

Dataset Information

Understanding the pathogenesis of Kawasaki disease by network and pathway analysis.

Publications

Understanding the pathogenesis of Kawasaki disease by network and pathway analysis.

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