Ferrandino Giuseppe, De Palo Giovanna, Murgia Antonio, Birch Owen, Tawfike Ahmed, Smith Rob, Debiram-Beecham Irene, Gandelman Olga, Kibble Graham, Lydon Anne Marie, Groves Alice, Smolinska Agnieszka, Allsworth Max, Boyle Billy, van der Schee Marc P, Allison Michael, Fitzgerald Rebecca C, Hoare Matthew, Snowdon Victoria K
Owlstone Medical, Cambridge, UK.
Department of Oncology, University of Cambridge, Hutchison/MRC Research Centre, Cambridge, UK.
J Clin Transl Hepatol. 2023 Jun 28;11(3):638-648. doi: 10.14218/JCTH.2022.00309. Epub 2023 Feb 2.
The prevalence of chronic liver disease in adults exceeds 30% in some countries and there is significant interest in developing tests and treatments to help control disease progression and reduce healthcare burden. Breath is a rich sampling matrix that offers non-invasive solutions suitable for early-stage detection and disease monitoring. Having previously investigated targeted analysis of a single biomarker, here we investigated a multiparametric approach to breath testing that would provide more robust and reliable results for clinical use.
To identify candidate biomarkers we compared 46 breath samples from cirrhosis patients and 42 from controls. Collection and analysis used Breath Biopsy OMNI™, maximizing signal and contrast to background to provide high confidence biomarker detection based upon gas chromatography mass spectrometry (GC-MS). Blank samples were also analyzed to provide detailed information on background volatile organic compounds (VOCs) levels.
A set of 29 breath VOCs differed significantly between cirrhosis and controls. A classification model based on these VOCs had an area under the curve (AUC) of 0.95±0.04 in cross-validated test sets. The seven best performing VOCs were sufficient to maximize classification performance. A subset of 11 VOCs was correlated with blood metrics of liver function (bilirubin, albumin, prothrombin time) and separated patients by cirrhosis severity using principal component analysis.
A set of seven VOCs consisting of previously reported and novel candidates show promise as a panel for liver disease detection and monitoring, showing correlation to disease severity and serum biomarkers at late stage.
在一些国家,成人慢性肝病的患病率超过30%,因此人们对开发有助于控制疾病进展和减轻医疗负担的检测方法和治疗手段有着浓厚兴趣。呼出气体是一种丰富的采样基质,能提供适用于早期检测和疾病监测的非侵入性解决方案。此前我们研究了单一生物标志物的靶向分析,在此我们研究了一种多参数呼气测试方法,该方法可为临床应用提供更稳健、可靠的结果。
为了识别候选生物标志物,我们比较了46份肝硬化患者的呼气样本和42份对照样本。采集和分析使用了Breath Biopsy OMNI™,通过最大化信号与背景的对比度,基于气相色谱 - 质谱联用(GC - MS)实现高置信度的生物标志物检测。还对空白样本进行了分析,以提供背景挥发性有机化合物(VOC)水平的详细信息。
一组29种呼气VOC在肝硬化患者和对照之间存在显著差异。基于这些VOC的分类模型在交叉验证测试集中的曲线下面积(AUC)为0.95±0.04。七种表现最佳的VOC足以使分类性能最大化。11种VOC的一个子集与肝功能的血液指标(胆红素、白蛋白、凝血酶原时间)相关,并通过主成分分析按肝硬化严重程度对患者进行了区分。
一组由先前报道的和新的候选物组成的七种VOC有望作为肝病检测和监测的指标组,在疾病晚期显示出与疾病严重程度和血清生物标志物的相关性。