基于血液的生物标志物可区分溃疡性结肠炎、克罗恩病和非炎症性腹泻。
Blood-based biomarkers can differentiate ulcerative colitis from Crohn's disease and noninflammatory diarrhea.
机构信息
Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
出版信息
Inflamm Bowel Dis. 2011 Aug;17(8):1719-25. doi: 10.1002/ibd.21574. Epub 2011 Jan 6.
BACKGROUND
Blood gene expression profiling has been used in several studies to identify patients with a number of conditions and diseases. A blood test with the ability to differentiate Crohn's disease (CD) from ulcerative colitis (UC) and noninflammatory diarrhea would be useful in the clinical management of these diseases.
METHODS
Affymetrix U133Plus 2.0 GeneChip oligonucleotide arrays were used to generate whole blood gene expression profiles for 21 patients with UC, 24 patients with CD, and 10 control patients with diarrhea, but without colonic pathology.
RESULTS
A supervised learning method (logistic regression) was used to identify specific panels of probe sets which were able to discriminate between UC and CD and from controls. The UC panel consisted of the four genes, CD300A, KPNA4, IL1R2, and ELAVL1; the CD panel comprised the four genes CAP1, BID, NIT2, and NPL. These panels clearly differentiated between CD and UC.
CONCLUSIONS
Gene expression profiles from blood can differentiate patients with CD from those with UC and from noninflammatory diarrheal disorders.
背景
血液基因表达谱已在多项研究中用于识别多种疾病的患者。一种能够区分克罗恩病（CD）和溃疡性结肠炎（UC）以及非炎症性腹泻的血液检测将有助于这些疾病的临床管理。
方法
使用 Affymetrix U133Plus 2.0 GeneChip 寡核苷酸微阵列生成 21 例 UC 患者、24 例 CD 患者和 10 例无结肠病理的腹泻对照患者的全血基因表达谱。
结果
使用监督学习方法（逻辑回归）来识别能够区分 UC 和 CD 以及对照的特定探针集面板。UC 面板由四个基因 CD300A、KPNA4、IL1R2 和 ELAVL1 组成；CD 面板由四个基因 CAP1、BID、NIT2 和 NPL 组成。这些面板清楚地区分了 CD 和 UC。
结论
血液中的基因表达谱可以区分 CD 患者和 UC 患者以及非炎症性腹泻疾病。
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