Breath Biopsy® to Identify Exhaled Volatile Organic Compounds Biomarkers for Liver Cirrhosis Detection

G. Ferrandino*, G. De Palo, A. Murgia, O. Birch, A. Tawfike, R. Smith, I. Debiram-Beecham, O. Gandelman, G. Kibble, A.M. Lydon, A. Groves, A. Smolinska, M. Allsworth, B. Boyle, M.P. van der Schee, M. Allison, R.C. Fitzgerald, M. Hoare, V.K. Snowdon

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Background and Aims: 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. Methods: To identify candidate biomarkers we compared 46 breath samples from cirrhosis patients and 42 from controls. Collection and analysis used Breath Biopsy OMNITM, 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. Results: 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. Conclusions: 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.
Original languageEnglish
Pages (from-to)638-648
Number of pages11
JournalJournal of Clinical and Translational Hepatology
Volume11
Issue number3
Early online date1 Feb 2023
DOIs
Publication statusPublished - Jun 2023

Keywords

  • Breath Biopsy
  • Non-invasive
  • Biomarker
  • Cirrhosis
  • Liver function test
  • MASS-SPECTROMETRY
  • METABOLISM
  • IDENTIFICATION
  • NORMALIZATION
  • EXPRESSION
  • SELENIUM
  • STEP

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