利用基因表达数据识别某些胃肠道疾病。

Philip S Crooke, John T Tossberg, Sara N Horst, John L Tauscher, Melodie A Henderson, Dawn B Beaulieu, David A Schwartz, Nancy J Olsen, Thomas M Aune
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引用次数: 8

摘要

背景:炎症性肠病、溃疡性结肠炎和克罗恩病被认为是自身免疫性疾病,但肠易激综合征的病因尚不清楚。此外,如果没有侵入性检测,将患者分为肠易激综合征和炎症性肠病可能很困难,并且具有重要的治疗意义。我们的目的是评估血液中基因表达谱的能力,以区分这些受试者群体。方法:采用实时荧光定量聚合酶链反应(RT-PCR)检测血液中45个基因的转录水平。我们采用了三种不同的分析方法;一种方法利用了一个评分系统,该评分系统是由两个基因的表达水平比率和两个不同的支持向量机组合而成的。结果:所有方法区分不同的受试者队列,区分肠易激综合征与对照组,区分炎症性肠病与对照组,区分肠易激综合征与炎症性肠病,区分溃疡性结肠炎与克罗恩病,均具有高度的敏感性和特异性。结论:这些结果表明,这些方法可以提供临床有用的预测这些胃肠道疾病和综合征的存在。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Using gene expression data to identify certain gastro-intestinal diseases.

Using gene expression data to identify certain gastro-intestinal diseases.

Using gene expression data to identify certain gastro-intestinal diseases.

Using gene expression data to identify certain gastro-intestinal diseases.

Background: Inflammatory bowel diseases, ulcerative colitis and Crohn's disease are considered to be of autoimmune origin, but the etiology of irritable bowel syndrome remains elusive. Furthermore, classifying patients into irritable bowel syndrome and inflammatory bowel diseases can be difficult without invasive testing and holds important treatment implications. Our aim was to assess the ability of gene expression profiling in blood to differentiate among these subject groups.

Methods: Transcript levels of a total of 45 genes in blood were determined by quantitative real-time polymerase chain reaction (RT-PCR). We applied three separate analytic approaches; one utilized a scoring system derived from combinations of ratios of expression levels of two genes and two different support vector machines.

Results: All methods discriminated different subject cohorts, irritable bowel syndrome from control, inflammatory bowel disease from control, irritable bowel syndrome from inflammatory bowel disease, and ulcerative colitis from Crohn's disease, with high degrees of sensitivity and specificity.

Conclusions: These results suggest these approaches may provide clinically useful prediction of the presence of these gastro-intestinal diseases and syndromes.

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