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

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 soluti...

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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: XIA & HE Publishing Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037526/
https://www.ncbi.nlm.nih.gov/pubmed/36969895
http://dx.doi.org/10.14218/JCTH.2022.00309
Descripción
Sumario: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 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. 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.