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breath biopsy^(®) to Identify Exhaled Volatile Organic Compounds Biomarkers for Liver Cirrhosis Detection

Journal of Clinical and Translational Hepatology 2023年第3期11卷 638-648页

作者： Giuseppe Ferrandino Giovanna De Palo Antonio Murgia Owen Birch Ahmed Tawfike Rob Smith Irene Debiram-Beecham Olga Gandelman Graham Kibble Anne Marie Lydon Alice Groves Agnieszka Smolinska Max Allsworth Billy Boyle Marc P.van der Schee Michael Allison Rebecca C.Fitzgerald Matthew Hoare Victoria K.Snowdon Owlstone Medical CambridgeUK Department of Oncology University of CambridgeHutchison/MRC Research CentreCambridgeUK Department of Pharmacology and Toxicology School for Nutrition and Translational Research in Metabo-lism(NUTRIM)Maastricht University Medical Centerthe Netherlands Department of Medicine University of CambridgeAddenbrooke’s HospitalCambridgeUK Addenbrookes Hepatology and Liver Transplantation Unit Addenbrookes Hospi-talCambridgeUK MRC Cancer Unit Hutchison/MRC Research CentreUniversity of CambridgeCambridgeUK CRUK Cambridge Institute CambridgeUK

Background and Aims:The prevalence of chronic liver dis-ease 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 *** is a rich sampling matrix that offers non-invasive so-lutions suitable for early-stage detection and disease *** 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 ***:To identify can-didate biomarkers we compared 46 breath samples from cir-rhosis patients and 42 from *** and analysis used breath biopsy OMNI™,maximizing signal and contrast to background to provide high confidence biomarker detec-tion based upon gas chromatography mass spectrometry(GC-MS).Blank samples were also analyzed to provide de-tailed information on background volatile organic compounds(VOCs)***: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 *** seven best performing VOCs were sufficient to maximize classifica-tion performance.A subset of 11 VOCs was correlated with blood metrics of liver function(bilirubin,albumin,prothrom-bin time)and separated patients by cirrhosis severity using principal component ***:A set of seven VOCs consisting of previously reported and novel candidates show promise as a panel for liver disease detection and mon-itoring,showing correlation to disease severity and serum biomarkers at late stage.

关键词： breath biopsy Non-invasive Biomarker Cirrhosis Liver function test.

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