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用于分析基因表达和信号通路的新生物信息学方法揭示了区分克罗恩病和溃疡性结肠炎的独特嘌呤基因失调特征。

New bioinformatics approach to analyze gene expressions and signaling pathways reveals unique purine gene dysregulation profiles that distinguish between CD and UC.

作者信息

Rybaczyk Leszek, Rozmiarek Andrew, Circle Kristin, Grants Iveta, Needleman Bradley, Wunderlich Jacqueline E, Huang Kun, Christofi Fievos L

机构信息

Department of Bioinformatics, Ohio State University, Columbus, Ohio 43210, USA.

出版信息

Inflamm Bowel Dis. 2009 Jul;15(7):971-84. doi: 10.1002/ibd.20893.

Abstract

BACKGROUND

Expression of purine genes is modulated by inflammation or experimental colitis and altered expression leads to disrupted gut function. We studied purine gene dysregulation profiles in inflammatory bowel disease (IBD) and determined whether they can distinguish between Crohn's disease (CD) and ulcerative colitis (UC) using Pathway Analysis and a new Comparative Analysis of Gene Expression and Selection (CAGES) method.

METHODS

Raw datasets for 22 purine genes and 36 probe-sets from National Center for Biotechnology Information (NCBI) GEO (Gene Expression Omnibus) (http://www.ncbi.nlm.nih.gov/projects/geo/) were analyzed by National Cancer Institute (NCI) Biological Resources Branch (BRB) array tools for random-variance of multiple/36 t-tests in colonic mucosal biopsies or peripheral blood mononuclear cells (PBMCs) of CD, UC or control subjects. Dysregulation occurs in 59% of purine genes in IBD including ADORA3, CD73, ADORA2A, ADORA2B, ADAR, AMPD2, AMPD3, DPP4, P2RY5, P2RY6, P2RY13, P2RY14, and P2RX5.

RESULTS

In CD biopsies, expression of ADORA3, AMPD3, P2RY13, and P2RY5 were negatively correlated with acute inflammatory score, Crohn's Disease Activity Index (CDAI) or disease chronicity; P2RY14 was positively correlated in UC. In mucosal biopsies or PBMCs, CD and UC were distinguished by unique patterns of dysregulation (up- or downregulation) in purine genes. Purine gene dysregulation differs between PBMCs and biopsies and possibly between sexes for each disease. Ingenuity Pathway Analysis (IPA) revealed significant associations between alterations in the expression of CD73 (upregulation) or ADORA3 (downregulation) and inflammatory or purine genes (<or=10% of 57 genes) as well as G-protein coupled receptors, cAMP-dependent, and inflammatory pathways; IPA distinguishes CD from UC.

CONCLUSION

CAGES and Pathway Analysis provided novel evidence that UC and CD have distinct purine gene dysregulation signatures in association with inflammation, cAMP, or other signaling pathways. Disease-specific purine gene signature profiles and pathway associations may be of therapeutic, diagnostic, and functional relevance.

摘要

背景

嘌呤基因的表达受炎症或实验性结肠炎的调节,其表达改变会导致肠道功能紊乱。我们研究了炎症性肠病(IBD)中嘌呤基因的失调谱,并使用通路分析和一种新的基因表达与选择比较分析(CAGES)方法来确定它们是否能够区分克罗恩病(CD)和溃疡性结肠炎(UC)。

方法

通过美国国立癌症研究所(NCI)生物资源部(BRB)阵列工具,对来自美国国立生物技术信息中心(NCBI)基因表达综合数据库(GEO)(http://www.ncbi.nlm.nih.gov/projects/geo/)的22个嘌呤基因和36个探针集的原始数据集进行分析,以检测CD、UC或对照受试者结肠黏膜活检组织或外周血单个核细胞(PBMC)中多个/36个t检验的随机方差。IBD中59%的嘌呤基因存在失调,包括ADORA3、CD73、ADORA2A、ADORA2B、ADAR、AMPD2、AMPD3、DPP4、P2RY5、P2RY6、P2RY13、P2RY14和P2RX5。

结果

在CD活检组织中,ADORA3、AMPD3、P2RY13和P2RY5与急性炎症评分、克罗恩病活动指数(CDAI)或疾病慢性程度呈负相关;P2RY14在UC中呈正相关。在黏膜活检组织或PBMC中,CD和UC可通过嘌呤基因独特的失调模式(上调或下调)进行区分。PBMC和活检组织之间以及每种疾病在性别之间的嘌呤基因失调情况有所不同。 Ingenuity通路分析(IPA)显示,CD73(上调)或ADORA3(下调)表达的改变与炎症或嘌呤基因(57个基因中的≤10%)以及G蛋白偶联受体、cAMP依赖性和炎症通路之间存在显著关联;IPA可区分CD和UC。

结论

CAGES和通路分析提供了新的证据,表明UC和CD在与炎症、cAMP或其他信号通路相关的嘌呤基因失调特征方面存在差异。疾病特异性的嘌呤基因特征谱和通路关联可能具有治疗、诊断和功能相关性。

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