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Gene-expression patterns reveal underlying biological processes in Kawasaki disease
Stephen J Popper1, Chisato Shimizu, Hiroko Shike
1Departments of Microbiology and Immunology, and Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA. spopper@stanford.edu
Insights
Kawasaki disease (KD) involves dynamic gene expression, particularly in neutrophils, impacting treatment response. Understanding these immune responses may reveal biomarkers for predicting patient outcomes.
Area of Science:
- Immunology
- Genomics
- Pediatric Medicine
Background:
- Kawasaki disease (KD) is a leading cause of acquired pediatric heart disease.
- The etiology and mechanisms of KD, including coronary artery aneurysm formation and fever resolution post-intravenous immunoglobulin (IVIG), are not fully understood.
Purpose of the Study:
- To investigate gene expression patterns in children with KD across different illness phases.
- To identify potential biomarkers for predicting clinical outcomes and treatment response in KD.
Main Methods:
- DNA microarrays were used to analyze gene expression in peripheral whole blood from 20 children with KD during acute, subacute, and convalescent phases.
- Gene expression patterns were validated in a second cohort of 64 patients and specific gene transcript levels (CEACAM1) were confirmed using quantitative reverse transcription PCR in a third cohort of 33 patients.
Main Results:
- Acute KD showed increased transcripts related to innate immunity and inflammation, with decreased natural killer and CD8+ T-cell associated transcripts.
- Significant temporal variations in gene expression were observed during the acute phase, stabilizing later.
- Higher CEACAM1 transcripts correlated with increased unsegmented neutrophils, shorter illness duration, elevated C-reactive protein, and non-response to IVIG.
Conclusions:
- Acute KD exhibits dynamic and variable gene expression programs, emphasizing the role of neutrophil activation and apoptosis in its pathogenesis.
- Gene expression profiles hold potential for identifying biomarkers to predict clinical prognosis in systemic inflammatory illnesses like KD.
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.
Conclusion:
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.
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