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Discovery, validation and sequencing of urinary peptides for diagnosis of liver fibrosis—A multicentre study

BACKGROUND: Liver fibrosis is a consequence of chronic inflammation and is associated with protein changes within the hepatocytes structure. In this study, we aimed to investigate if this is reflected by the urinary proteome and can be explored to diagnose liver fibrosis in patients with chronic liv...

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Autores principales: Bannaga, Ayman S., Metzger, Jochen, Kyrou, Ioannis, Voigtländer, Torsten, Book, Thorsten, Melgarejo, Jesus, Latosinska, Agnieszka, Pejchinovski, Martin, Staessen, Jan A., Mischak, Harald, Manns, Michael P., Arasaradnam, Ramesh P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648178/
https://www.ncbi.nlm.nih.gov/pubmed/33160210
http://dx.doi.org/10.1016/j.ebiom.2020.103083
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author Bannaga, Ayman S.
Metzger, Jochen
Kyrou, Ioannis
Voigtländer, Torsten
Book, Thorsten
Melgarejo, Jesus
Latosinska, Agnieszka
Pejchinovski, Martin
Staessen, Jan A.
Mischak, Harald
Manns, Michael P.
Arasaradnam, Ramesh P.
author_facet Bannaga, Ayman S.
Metzger, Jochen
Kyrou, Ioannis
Voigtländer, Torsten
Book, Thorsten
Melgarejo, Jesus
Latosinska, Agnieszka
Pejchinovski, Martin
Staessen, Jan A.
Mischak, Harald
Manns, Michael P.
Arasaradnam, Ramesh P.
author_sort Bannaga, Ayman S.
collection PubMed
description BACKGROUND: Liver fibrosis is a consequence of chronic inflammation and is associated with protein changes within the hepatocytes structure. In this study, we aimed to investigate if this is reflected by the urinary proteome and can be explored to diagnose liver fibrosis in patients with chronic liver disease. METHODS: In a multicentre combined cross-sectional and prospective diagnostic test validation study, 129 patients with varying degrees of liver fibrosis and 223 controls without liver fibrosis were recruited. Additionally, 41 patients with no liver, but kidney fibrosis were included to evaluate interference with expressions of kidney fibrosis. Urinary low molecular weight proteome was analysed by capillary electrophoresis coupled to mass spectrometry (CE-MS) and a support vector machine marker model was established by integration of peptide markers for liver fibrosis. FINDINGS: CE-MS enabled identification of 50 urinary peptides associated with liver fibrosis. When combined into a classifier, LivFib-50, it separated patients with liver fibrosis (N = 31) from non-liver disease controls (N = 123) in cross-sectional diagnostic phase II evaluation with an area under the curve (AUC) of 0.94 (95% confidence intervals (CI): 0.89–0.97, p<0.0001). When adjusted for age, LivFib-50 demonstrated an AUC of 0.94 (95% CI: 0.89–0.97, p<0.0001) in chronic liver disease patients with (N = 19) or without (N = 17) liver fibrosis progression. In this prospective diagnostic phase III validation set, age-adjusted LivFib-50 showed 84.2% sensitivity (95% CI: 60.4–96.6) and 82.4% specificity (95% CI: 56.6–96.2) for detection of liver fibrosis. The sequence-identified peptides are mainly fragments of collagen chains, uromodulin and Na/K-transporting ATPase subunit γ. We also identified ten putative proteolytic cleavage sites, eight were specific for matrix metallopeptidases and two for cathepsins. INTERPRETATION: In liver fibrosis, urinary peptides profiling offers potential diagnostic markers and leads to discovery of proteolytic sites that could be targets for developing anti-fibrotic therapy.
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spelling pubmed-76481782020-11-16 Discovery, validation and sequencing of urinary peptides for diagnosis of liver fibrosis—A multicentre study Bannaga, Ayman S. Metzger, Jochen Kyrou, Ioannis Voigtländer, Torsten Book, Thorsten Melgarejo, Jesus Latosinska, Agnieszka Pejchinovski, Martin Staessen, Jan A. Mischak, Harald Manns, Michael P. Arasaradnam, Ramesh P. EBioMedicine Research Paper BACKGROUND: Liver fibrosis is a consequence of chronic inflammation and is associated with protein changes within the hepatocytes structure. In this study, we aimed to investigate if this is reflected by the urinary proteome and can be explored to diagnose liver fibrosis in patients with chronic liver disease. METHODS: In a multicentre combined cross-sectional and prospective diagnostic test validation study, 129 patients with varying degrees of liver fibrosis and 223 controls without liver fibrosis were recruited. Additionally, 41 patients with no liver, but kidney fibrosis were included to evaluate interference with expressions of kidney fibrosis. Urinary low molecular weight proteome was analysed by capillary electrophoresis coupled to mass spectrometry (CE-MS) and a support vector machine marker model was established by integration of peptide markers for liver fibrosis. FINDINGS: CE-MS enabled identification of 50 urinary peptides associated with liver fibrosis. When combined into a classifier, LivFib-50, it separated patients with liver fibrosis (N = 31) from non-liver disease controls (N = 123) in cross-sectional diagnostic phase II evaluation with an area under the curve (AUC) of 0.94 (95% confidence intervals (CI): 0.89–0.97, p<0.0001). When adjusted for age, LivFib-50 demonstrated an AUC of 0.94 (95% CI: 0.89–0.97, p<0.0001) in chronic liver disease patients with (N = 19) or without (N = 17) liver fibrosis progression. In this prospective diagnostic phase III validation set, age-adjusted LivFib-50 showed 84.2% sensitivity (95% CI: 60.4–96.6) and 82.4% specificity (95% CI: 56.6–96.2) for detection of liver fibrosis. The sequence-identified peptides are mainly fragments of collagen chains, uromodulin and Na/K-transporting ATPase subunit γ. We also identified ten putative proteolytic cleavage sites, eight were specific for matrix metallopeptidases and two for cathepsins. INTERPRETATION: In liver fibrosis, urinary peptides profiling offers potential diagnostic markers and leads to discovery of proteolytic sites that could be targets for developing anti-fibrotic therapy. Elsevier 2020-11-05 /pmc/articles/PMC7648178/ /pubmed/33160210 http://dx.doi.org/10.1016/j.ebiom.2020.103083 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Bannaga, Ayman S.
Metzger, Jochen
Kyrou, Ioannis
Voigtländer, Torsten
Book, Thorsten
Melgarejo, Jesus
Latosinska, Agnieszka
Pejchinovski, Martin
Staessen, Jan A.
Mischak, Harald
Manns, Michael P.
Arasaradnam, Ramesh P.
Discovery, validation and sequencing of urinary peptides for diagnosis of liver fibrosis—A multicentre study
title Discovery, validation and sequencing of urinary peptides for diagnosis of liver fibrosis—A multicentre study
title_full Discovery, validation and sequencing of urinary peptides for diagnosis of liver fibrosis—A multicentre study
title_fullStr Discovery, validation and sequencing of urinary peptides for diagnosis of liver fibrosis—A multicentre study
title_full_unstemmed Discovery, validation and sequencing of urinary peptides for diagnosis of liver fibrosis—A multicentre study
title_short Discovery, validation and sequencing of urinary peptides for diagnosis of liver fibrosis—A multicentre study
title_sort discovery, validation and sequencing of urinary peptides for diagnosis of liver fibrosis—a multicentre study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648178/
https://www.ncbi.nlm.nih.gov/pubmed/33160210
http://dx.doi.org/10.1016/j.ebiom.2020.103083
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