Fathi Fariba, Oskouie Afsaneh Arefi, Tafazzoli Mohsen, Naderi Nosratollah, Sohrabzedeh Kaveh, Fathi Soraya, Norouzinia Mohsen, Rostami Nejad Mohammad
Department of Chemistry, Sharif University of Technology, Tehran, Iran.
Department of Basic Science, Faculty of Paramedical, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Gastroenterol Hepatol Bed Bench. 2013;6(Suppl 1):S82-6.
The aim of this study was to search for metabolic biomarkers of Crohn's disease (CD).
Crohn's disease (CD) is a type of inflammatory bowel disease that causing a wide variety of symptoms. CD can influence any part of the gastrointestinal tract from mouth to anus. CD is not easily diagnosed because monitoring tools are currently insufficient. Thus, the discovery of proper methods is needed for early diagnosis of CD.
We utilized metabolic profiling using proton nuclear magnetic resonance spectroscopy ((1)HNMR) to find the metabolites in serum. Classification of CD and healthy subject was done using partial least squares discriminant analysis (PLS-DA).
According to PLS-DA model, we concluded that just using one descriptor CD and control groups could be classified separately. The level of lipid in blood serum of CD compared to healthy cohorts was decreased. For the external test set, the classification model showed a 94% correct classification of CD and healthy subject.
The result of classification model presents that NMR based metabonomics is key tool as well as insight into potential targets for disease therapy and prevention.
本研究旨在寻找克罗恩病（CD）的代谢生物标志物。
克罗恩病（CD）是一种炎症性肠病，会引发多种症状。CD可影响从口腔到肛门的胃肠道任何部位。由于目前监测工具不足，CD不易诊断。因此，需要发现合适的方法用于CD的早期诊断。
我们利用质子核磁共振波谱法（（1）HNMR）进行代谢谱分析以找出血清中的代谢物。使用偏最小二乘判别分析（PLS-DA）对CD患者和健康受试者进行分类。
根据PLS-DA模型，我们得出仅使用一个描述符即可将CD组和对照组分开的结论。与健康队列相比，CD患者血清中的脂质水平降低。对于外部测试集，分类模型对CD患者和健康受试者的正确分类率为94%。
分类模型的结果表明基于核磁共振的代谢组学是关键工具，也为疾病治疗和预防的潜在靶点提供了见解。
