A Metabolomics Signature Linked To Liver Fibrosis In The Serum Of Transplanted Hepatitis C Patients

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RECERCAT Home > Universitat de Barcelona > IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer > Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer) > View document

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dc.contributor.author	Cano, Ainara
dc.contributor.author	Mariño, Zoe
dc.contributor.author	Millet Aguilar-Galindo, Òscar
dc.contributor.author	Martínez Arranz, Ibon
dc.contributor.author	Navasa, Miquel
dc.contributor.author	Falcón-Pérez, Juan M.
dc.contributor.author	Pérez Cormenzana, Miriam
dc.contributor.author	Caballeria Rovira, Joan
dc.contributor.author	Embade, Nieves
dc.contributor.author	Forns, Xavier
dc.contributor.author	Bosch, Jaume
dc.contributor.author	Castro, Azucena
dc.contributor.author	Mato, José M.
dc.date	2018-11-07T16:47:30Z
dc.date	2018-11-07T16:47:30Z
dc.date	2017-09-05
dc.date	2018-11-07T16:47:30Z
dc.identifier	2045-2322
dc.identifier	675950
dc.identifier	28874799
dc.identifier.uri	http://hdl.handle.net/2445/125898
dc.description	Liver fibrosis must be evaluated in patients with hepatitis C virus (HCV) after liver transplantation because its severity affects their prognosis and the recurrence of HCV. Since invasive biopsy is still the gold standard to identify patients at risk of graft loss from rapid fibrosis progression, it becomes crucial the development of new accurate, non-invasive methods that allow repetitive examination of the patients. Therefore, we have developed a non-invasive, accurate model to distinguish those patients with different liver fibrosis stages. Two hundred and three patients with HCV were histologically classified (METAVIR) into five categories of fibrosis one year after liver transplantation. In this cross-sectional study, patients at fibrosis stages F0-F1 (n = 134) were categorised as "slow fibrosers" and F2-F4 (n = 69) as "rapid fibrosers". Chloroform/methanol serum extracts were analysed by reverse ultra-high performance liquid chromatography coupled to mass spectrometry. A diagnostic model was built through linear discriminant analyses. An algorithm consisting of two sphingomyelins and two phosphatidylcholines accurately classifies rapid and slow fibrosers after transplantation. The proposed model yielded an AUROC of 0.92, 71% sensitivity, 85% specificity, and 84% accuracy. Moreover, specific bile acids and sphingomyelins increased notably along with liver fibrosis severity, differentiating between rapid and slow fibrosers.
dc.format	10 p.
dc.format	application/pdf
dc.language	eng
dc.publisher	Nature Publishing Group
dc.relation	Reproducció del document publicat a: https://doi.org/10.1038/s41598-017-10807-y
dc.relation	Scientific Reports, 2017, vol. 7, num. 1, p. 10497
dc.relation	https://doi.org/10.1038/s41598-017-10807-y
dc.rights	cc-by (c) Cano, Ainara et al., 2017
dc.rights	http://creativecommons.org/licenses/by/3.0/es
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Trasplantament hepàtic
dc.subject	Hepatitis C
dc.subject	Cirrosi hepàtica
dc.subject	Diagnòstic molecular
dc.subject	Hepatic transplantation
dc.subject	Hepatitis C
dc.subject	Hepatic cirrhosis
dc.subject	Molecular diagnosis
dc.title	A Metabolomics Signature Linked To Liver Fibrosis In The Serum Of Transplanted Hepatitis C Patients
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion

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