Novel urinary protein panels for the non-invasive diagnosis of non-alcoholic fatty liver disease and fibrosis stages.

Autor: Feng G; Department of Infectious Disease, The First Affiliated Hospital of Xi'an Jiaotong University, 710061, Xi'an, China.; Institute of General Practice, Xi'an Medical University, 710021, Xi'an, China., Zhang X; Department of Gastroenterology, The First Affiliated Hospital (Southwest Hospital), Third Military Medical University (Army Medical University), Chongqing, 400038, China.; Institute of Digestive Diseases of PLA, The First Affiliated Hospital (Southwest Hospital), Third Military Medical University (Army Medical University), 400038, Chongqing, China.; Center for Metabolic Associated Fatty Liver Disease and Cholestatic Liver Diseases Center, The First Affiliated Hospital (Southwest Hospital), Third Military Medical University (Army Medical University), 400038, Chongqing, China., Zhang L; Department of Gastroenterology, The First Affiliated Hospital (Southwest Hospital), Third Military Medical University (Army Medical University), Chongqing, 400038, China.; Institute of Digestive Diseases of PLA, The First Affiliated Hospital (Southwest Hospital), Third Military Medical University (Army Medical University), 400038, Chongqing, China.; Center for Metabolic Associated Fatty Liver Disease and Cholestatic Liver Diseases Center, The First Affiliated Hospital (Southwest Hospital), Third Military Medical University (Army Medical University), 400038, Chongqing, China., Liu WY; Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China., Geng S; Artificial Intelligence Unit, Department of Medical Equipment Management, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221004, China., Yuan HY; MAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou, China., Sha JC; Interventional Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221004, China., Wang XD; Key Laboratory of Diagnosis and Treatment for The Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, Zhejiang, 325000, China., Sun DQ; Department of Nephrology, The Affiliated Wuxi No.2 People's Hospital of Nanjing Medical University, Wuxi, 214001, Jiangsu, China., Targher G; Section of Endocrinology, Diabetes and Metabolism, Department of Medicine, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy., Byrne CD; Southampton National Institute for Health and Care Research Biomedical Research Centre, University Hospital Southampton, University of Southampton, Southampton General Hospital, Southampton, UK., Zheng TL; Artificial Intelligence Unit, Department of Medical Equipment Management, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221004, China.; School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China., Ye F; Department of Infectious Disease, The First Affiliated Hospital of Xi'an Jiaotong University, 710061, Xi'an, China., Zheng MH; MAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou, China.; Key Laboratory of Diagnosis and Treatment for The Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, Zhejiang, 325000, China., Chai J; Department of Gastroenterology, The First Affiliated Hospital (Southwest Hospital), Third Military Medical University (Army Medical University), Chongqing, 400038, China.; Institute of Digestive Diseases of PLA, The First Affiliated Hospital (Southwest Hospital), Third Military Medical University (Army Medical University), 400038, Chongqing, China.; Center for Metabolic Associated Fatty Liver Disease and Cholestatic Liver Diseases Center, The First Affiliated Hospital (Southwest Hospital), Third Military Medical University (Army Medical University), 400038, Chongqing, China.
Jazyk: angličtina
Zdroj: Liver international : official journal of the International Association for the Study of the Liver [Liver Int] 2023 Jun; Vol. 43 (6), pp. 1234-1246. Date of Electronic Publication: 2023 Mar 27.
DOI: 10.1111/liv.15565
Abstrakt: Background & Aims: There is an unmet clinical need for non-invasive tests to diagnose non-alcoholic fatty liver disease (NAFLD) and individual fibrosis stages. We aimed to test whether urine protein panels could be used to identify NAFLD, NAFLD with fibrosis (stage F ≥ 1) and NAFLD with significant fibrosis (stage F ≥ 2).
Methods: We collected urine samples from 100 patients with biopsy-confirmed NAFLD and 40 healthy volunteers, and proteomics and bioinformatics analyses were performed in this derivation cohort. Diagnostic models were developed for detecting NAFLD (UP NAFLD model), NAFLD with fibrosis (UP fibrosis model), or NAFLD with significant fibrosis (UP significant fibrosis model). Subsequently, the derivation cohort was divided into training and testing sets to evaluate the efficacy of these diagnostic models. Finally, in a separate independent validation cohort of 100 patients with biopsy-confirmed NAFLD and 45 healthy controls, urinary enzyme-linked immunosorbent assay analyses were undertaken to validate the accuracy of these new diagnostic models.
Results: The UP fibrosis model and the UP significant fibrosis model showed an AUROC of .863 (95% CI: .725-1.000) and 0.858 (95% CI: .712-1.000) in the training set; and .837 (95% CI: .711-.963) and .916 (95% CI: .825-1.000) in the testing set respectively. The UP NAFLD model showed an excellent diagnostic performance and the area under the receiver operator characteristic curve (AUROC) exceeded .90 in the derivation cohort. In the independent validation cohort, the AUROC for all three of the above diagnostic models exceeded .80.
Conclusions: Our newly developed models constructed from urine protein biomarkers have good accuracy for non-invasively diagnosing liver fibrosis in NAFLD.
(© 2023 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)
Databáze: MEDLINE
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