Altered gene expression profiles in nasal respiratory epithelium reflect stable versus acute childhood asthma

• Published in: Journal of allergy and clinical immunology 2005-02, Vol.115 (2), p.243-251
• Main Authors: Guajardo, Jesus R., Schleifer, Kathleen W., Daines, Michael O., Ruddy, Richard M., Aronow, Bruce J., Wills-Karp, Marsha, Hershey, Gurjit K. Khurana
• Format: Article
• Language: English
• Subjects: Acute Disease; Asthma; Asthma - genetics; Asthma - metabolism; Biological and medical sciences; Case-Control Studies; Child; childhood; Female; Fundamental and applied biological sciences. Psychology; Fundamental immunology; Gene Expression; Gene Expression Profiling; genetics; Humans; Immunopathology; Male; Medical sciences; microarray; Multigene Family; Nasal Mucosa - metabolism; Reverse Transcriptase Polymerase Chain Reaction
• ISSN: 0091-6749; 1097-6825
• DOI: 10.1016/j.jaci.2004.10.032

Asthma is the most common chronic disease of childhood and has a strong genetic component. To identify gene expression signatures that reflect asthma-related processes and to determine whether these genes were similar or distinct between stable asthma and acute exacerbations in childhood, we profiled gene expression patterns in nasal respiratory epithelial cells. Children who had stable asthma (asthma-S; n = 10) and children experiencing an asthma exacerbation (asthma-E; n = 10) were recruited along with nonatopic children without asthma (n = 10). RNA was prepared from nasal respiratory epithelial cells isolated from each child, initially analyzed as pooled samples from the 3 groups, and further validated by using microarrays and RT-PCR with individual patient samples. Distinct gene clusters were identifiable in individual and pooled asthma-S and asthma-E samples. Asthma-E samples demonstrated the strongest and most reproducible signatures, with 314 genes of 34,886 measured as present on the chip demonstrating induction or repression of greater than 2-fold with P < .05 in each of 4 individual samples. Asthma-S–regulated genes encompassed genes that overlapped with those of asthma-E but were fewer (166) and less consistent with respect to their behavior across the asthma-E patient samples. Exacerbated asthma status is readily distinguished based on the occurrence of strong gene expression signatures in nasal epithelial samples. Stable asthma status also exhibits differential signatures. The results suggest that there are independent gene expression signatures reflective of cells and genes poised or committed to activation by an asthma attack.