School of Engineering, University of Warwick, Coventry, UK.
Sensors (Basel). 2013 Sep 6;13(9):11899-912. doi: 10.3390/s130911899.
Bile acid diarrhoea (BAD) is a common disease that requires expensive imaging to diagnose. We have tested the efficacy of a new method to identify BAD, based on the detection of differences in volatile organic compounds (VOC) in urine headspace of BAD vs. ulcerative colitis and healthy controls. A total of 110 patients were recruited; 23 with BAD, 42 with ulcerative colitis (UC) and 45 controls. Patients with BAD also received standard imaging (Se75HCAT) for confirmation. Urine samples were collected and the headspace analysed using an AlphaMOS Fox 4000 electronic nose in combination with an Owlstone Lonestar Field Asymmetric Ion Mobility Spectrometer (FAIMS). A subset was also tested by gas chromatography, mass spectrometry (GCMS). Linear Discriminant Analysis (LDA) was used to explore both the electronic nose and FAIMS data. LDA showed statistical differences between the groups, with reclassification success rates (using an n-1 approach) at typically 83%. GCMS experiments confirmed these results and showed that patients with BAD had two chemical compounds, 2-propanol and acetamide, that were either not present or were in much reduced quantities in the ulcerative colitis and control samples. We believe that this work may lead to a new tool to diagnose BAD, which is cheaper, quicker and easier that current methods.
胆汁酸腹泻(BAD)是一种常见疾病,需要昂贵的影像学诊断。我们已经测试了一种新方法来识别 BAD 的疗效,该方法基于对 BAD 与溃疡性结肠炎和健康对照组尿液顶空的挥发性有机化合物(VOC)差异的检测。共招募了 110 名患者;23 名 BAD,42 名溃疡性结肠炎(UC)和 45 名对照组。BAD 患者还接受了标准影像学(Se75HCAT)检查以确认。收集尿液样本,并使用 AlphaMOS Fox 4000 电子鼻与 Owlstone Lonestar Field 不对称离子迁移谱仪(FAIMS)结合分析顶空。一部分也通过气相色谱法、质谱法(GCMS)进行了测试。线性判别分析(LDA)用于探索电子鼻和 FAIMS 数据。LDA 显示组间存在统计学差异,通常使用 n-1 方法的重新分类成功率为 83%。GCMS 实验证实了这些结果,并表明 BAD 患者有两种化学物质,即 2-丙醇和乙酰胺,在溃疡性结肠炎和对照组样本中要么不存在,要么存在的量大大减少。我们相信这项工作可能会导致一种新的诊断 BAD 的工具,该工具比目前的方法更便宜、更快、更容易。