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dc.date.accessioned 2021-05-12T19:09:11Z
dc.date.available 2021-05-12T19:09:11Z
dc.date.issued 2017
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/118761
dc.description.abstract Background & aims: Non-alcoholic fatty liver disease (NAFLD) is a chronic liver disorder, tightly associated with obesity. The histological spectrum of the disease ranges from simple steatosis to steatohepatitis, with different stages of fibrosis, and fibrosis stage is the most significant predictor of mortality in NAFLD. Liver biopsy continues to be the gold standard for its diagnosis and reliable non-invasive diagnostic tools are unavailable. We investigated the accuracy of candidate proteins, identified by an in silico approach, as biomarkers for diagnosis of fibrosis. Methods: Seventy-one morbidly obese (MO) subjects with biopsy-proven NAFLD were enrolled, and the cohort was subdivided according to minimal (F0/F1) or moderate (F2/F3) fibrosis. The plasmatic level of CD44 antigen (CD44), secreted protein acidic and rich in cysteine (SPARC), epidermal growth factor receptor (EGFR) and insulin-like growth factor 2 (IGF2) were determined by ELISA. Significant associations between plasmatic levels and histological fibrosis were determined by correlation analysis and the diagnostic accuracy by the area under receiver operating characteristic curves (AUROC). Results: Eighty-two percentage of the subjects had F0/F1 and 18% with F2/F3 fibrosis. Plasmatic levels of IGF2, EGFR and their ratio (EGFR/IGF2) were associated with liver fibrosis, correlating inversely for IGF2 (P < .006) and directly (P < .018; P < .0001) for EGFR and EGFR/IGF2 respectively. The IGF2 marker had the best diagnostic accuracy for moderate fibrosis (AUROC 0.83), followed by EGFR/IGF2 ratio (AUROC 0.79) and EGFR (AUROC 0.71). Conclusions: Our study supports the potential utility of IGF2 and EGFR as non-invasive diagnostic biomarkers for liver fibrosis in morbidly obese subjects. en
dc.format.extent 155-163 es
dc.language en es
dc.subject Biomarkers es
dc.subject In silico strategy es
dc.subject Liver fibrosis es
dc.subject Morbidly obese es
dc.title A simple in silico strategy identifies candidate biomarkers for the diagnosis of liver fibrosis in morbidly obese subjects en
dc.type Articulo es
sedici.identifier.other https://doi.org/10.1111/liv.13505 es
sedici.identifier.issn 1478-3231 es
sedici.creator.person Giraudi, Pablo es
sedici.creator.person Gambaro, Sabrina Eliana es
sedici.creator.person Ornelas Arroyo, Sofia es
sedici.creator.person Chackelevicius, Carla M. es
sedici.creator.person Giuricin, Michela es
sedici.creator.person Silvestri, Marta es
sedici.creator.person Macor, Daniele es
sedici.creator.person Crocé, Lory S. es
sedici.creator.person Bonazza, Deborah es
sedici.creator.person Soardo, Giorgio es
sedici.creator.person Manzini, Nicolò de es
sedici.creator.person Zanconati, Fabrizio es
sedici.creator.person Tiribelli, Claudio es
sedici.creator.person Palmisano, Silvia es
sedici.creator.person Rosso, Natalia es
sedici.subject.materias Biología es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ciencias Exactas es
sedici.subtype Preprint es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Liver International es
sedici.relation.journalVolumeAndIssue vol. 38, no. 1 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)