DNA甲基化
表观遗传学
焦测序
甲基化
免疫学
表观遗传学
医学
亚硫酸氢盐测序
过敏
外周血单个核细胞
CpG站点
生物
内科学
基因表达
DNA
基因
遗传学
体外
作者
Michelle L. North,Meaghan J. Jones,Julia L. MacIsaac,Alexander M. Morin,Lisa M. Steacy,Alexander Gregor,Michael S. Kobor,Anne K. Ellis
出处
期刊:Allergy
[Wiley]
日期:2017-07-29
卷期号:73 (1): 196-205
被引量:52
摘要
Abstract Background Epigenetic alterations may represent new therapeutic targets and/or biomarkers of allergic rhinitis ( AR ). Our aim was to examine genome‐wide epigenetic changes induced by controlled pollen exposure in the environmental exposure unit ( EEU ). Methods 38 AR sufferers and eight nonallergic controls were exposed to grass pollen for 3 hours on two consecutive days. We interrogated DNA methylation at baseline and 3 hours in peripheral blood mononuclear cells ( PBMC s) using the Infinium Methylation 450K array. We corrected for demographics, cell composition, and multiple testing (Benjamini‐Hochberg) and verified hits using bisulfite PCR pyrosequencing and qPCR . To extend these findings to a clinically relevant tissue, we investigated DNA methylation and gene expression of mucin 4 ( MUC 4 ), in nasal brushings from a separate validation cohort exposed to birch pollen. Results In PBMC s of allergic rhinitis participants, 42 sites showed significant DNA methylation changes of 2% or greater. DNA methylation changes in tryptase gamma 1 ( TPSG 1 ), schlafen 12 ( SLFN 12 ), and MUC 4 in response to exposure were validated by pyrosequencing. SLFN 12 DNA methylation significantly correlated with symptoms ( P < 0.05), and baseline DNA methylation pattern was found to be predictive of symptom severity upon grass allergen exposure ( P = 0.029). Changes in MUC 4 DNA methylation in nasal brushings in the validation cohort correlated with drop in peak nasal inspiratory flow (Spearman's r = 0.314, P = 0.034), and MUC 4 gene expression was significantly increased ( P < 0.0001). Conclusion This study revealed novel and rapid epigenetic changes upon exposure in a controlled allergen challenge facility, and identified baseline epigenetic status as a predictor of symptom severity.
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