Arasaradnam Ramesh P, Westenbrink Eric, McFarlane Michael J, Harbord Ruth, Chambers Samantha, O'Connell Nicola, Bailey Catherine, Nwokolo Chuka U, Bardhan Karna D, Savage Richard, Covington James A
Clinical Sciences Research Institute, University of Warwick, Coventry, Warwickshire, United Kingdom; Department of Gastroenterology, University Hospital Coventry & Warwickshire, Coventry, Warwickshire, United Kingdom.
School of Engineering, University of Warwick, Coventry, Warwickshire, United Kingdom.
PLoS One. 2014 Oct 16;9(10):e107312. doi: 10.1371/journal.pone.0107312. eCollection 2014.
Coeliac disease (CD), a T-cell-mediated gluten sensitive enteropathy, affects ∼ 1% of the UK population and can present with wide ranging clinical features, often being mistaken for Irritable Bowel Syndrome (IBS). Heightened clinical awareness and serological screening identifies those with potential coeliac disease; the diagnosis is confirmed with duodenal biopsies, and symptom improvement with a gluten-free diet. Limitations to diagnosis are false negative serology and reluctance to undergo biopsy. The gut microbiome is altered in several gastrointestinal disorders, causing altered gut fermentation patterns recognisable by volatile organic compounds (VOC) analysis in urine, breath and faeces. We aimed to determine if CD alters the urinary VOC pattern, distinguishing it from IBS. 47 patients were recruited, 27 with established CD, on gluten free diets, and 20 with diarrhoea-predominant IBS (D-IBS). Collected urine was stored frozen in 10 ml aliquots. For assay, the specimens were heated to 40 ± 0.1°C and the headspace analysed by Field Asymmetric Ion Mobility Spectrometry (FAIMS). Machine learning algorithms were used for statistical evaluation. Samples were also analysed using Gas chromatography and mass spectroscopy (GC-MS). Sparse logistic regression showed that FAIMS distinguishes VOCs in CD vs D-IBS with ROC curve AUC of 0.91 (0.83-0.99), sensitivity and specificity of 85% respectively. GCMS showed a unique peak at 4'67 found only in CD, not D-IBS, which correlated with the compound 1,3,5,7 cyclooctatetraene. This study suggests that FAIMS offers a novel, non-invasive approach to identify those with possible CD, and distinguishes from D-IBS. It offers the potential for monitoring compliance with a gluten-free diet at home. The presence of cyclooctatetraene in CD specimens will need further validation.
乳糜泻(CD)是一种由T细胞介导的麸质敏感性肠病,影响着约1%的英国人口,其临床特征广泛多样,常被误诊为肠易激综合征(IBS)。提高临床意识和进行血清学筛查可识别出潜在的乳糜泻患者;通过十二指肠活检确诊,并通过无麸质饮食改善症状。诊断的局限性在于血清学假阴性以及患者不愿接受活检。肠道微生物群在多种胃肠道疾病中会发生改变,导致尿液、呼吸和粪便中的挥发性有机化合物(VOC)分析可识别的肠道发酵模式改变。我们旨在确定CD是否会改变尿液VOC模式,并将其与IBS区分开来。招募了47名患者,其中27名患有确诊的CD,采用无麸质饮食,20名患有以腹泻为主的IBS(D-IBS)。收集的尿液以10毫升等分试样冷冻保存。用于检测时,将标本加热至40±0.1°C,并通过场不对称离子迁移谱(FAIMS)分析顶空气体。使用机器学习算法进行统计评估。还使用气相色谱和质谱(GC-MS)对样品进行了分析。稀疏逻辑回归显示,FAIMS能够区分CD和D-IBS中的VOC,ROC曲线AUC为0.91(0.83 - 0.99),敏感性和特异性分别为85%。GC-MS显示在4'67处有一个仅在CD中发现而不在D-IBS中发现的独特峰,该峰与化合物1,3,5,7 - 环辛四烯相关。这项研究表明,FAIMS提供了一种新颖的非侵入性方法来识别可能患有CD的患者,并将其与D-IBS区分开来。它具有在家中监测无麸质饮食依从性的潜力。CD标本中环辛四烯的存在需要进一步验证。