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Top-Down Proteomics Detection of Potential Salivary Biomarkers for Autoimmune Liver Diseases Classification

(1) Autoimmune hepatitis (AIH) and primary biliary cholangitis (PBC) are autoimmune liver diseases characterized by chronic hepatic inflammation and progressive liver fibrosis. The possible use of saliva as a diagnostic tool has been explored in several oral and systemic diseases. The use of proteom...

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Autores principales: Olianas, Alessandra, Guadalupi, Giulia, Cabras, Tiziana, Contini, Cristina, Serrao, Simone, Iavarone, Federica, Castagnola, Massimo, Messana, Irene, Onali, Simona, Chessa, Luchino, Diaz, Giacomo, Manconi, Barbara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9866740/
https://www.ncbi.nlm.nih.gov/pubmed/36674470
http://dx.doi.org/10.3390/ijms24020959
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author Olianas, Alessandra
Guadalupi, Giulia
Cabras, Tiziana
Contini, Cristina
Serrao, Simone
Iavarone, Federica
Castagnola, Massimo
Messana, Irene
Onali, Simona
Chessa, Luchino
Diaz, Giacomo
Manconi, Barbara
author_facet Olianas, Alessandra
Guadalupi, Giulia
Cabras, Tiziana
Contini, Cristina
Serrao, Simone
Iavarone, Federica
Castagnola, Massimo
Messana, Irene
Onali, Simona
Chessa, Luchino
Diaz, Giacomo
Manconi, Barbara
author_sort Olianas, Alessandra
collection PubMed
description (1) Autoimmune hepatitis (AIH) and primary biliary cholangitis (PBC) are autoimmune liver diseases characterized by chronic hepatic inflammation and progressive liver fibrosis. The possible use of saliva as a diagnostic tool has been explored in several oral and systemic diseases. The use of proteomics for personalized medicine is a rapidly emerging field. (2) Salivary proteomic data of 36 healthy controls (HCs), 36 AIH and 36 PBC patients, obtained by liquid chromatography/mass spectrometry top-down pipeline, were analyzed by multiple Mann—Whitney test, Kendall correlation, Random Forest (RF) analysis and Linear Discriminant Analysis (LDA); (3) Mann—Whitney tests provided indications on the panel of differentially expressed salivary proteins and peptides, namely cystatin A, statherin, histatin 3, histatin 5 and histatin 6, which were elevated in AIH patients with respect to both HCs and PBC patients, while S100A12, S100A9 short, cystatin S1, S2, SN and C showed varied levels in PBC with respect to HCs and/or AIH patients. RF analysis evidenced a panel of salivary proteins/peptides able to classify with good accuracy PBC vs. HCs (83.3%), AIH vs. HCs (79.9%) and PBC vs. AIH (80.2%); (4) RF appears to be an attractive machine-learning tool suited for classification of AIH and PBC based on their different salivary proteomic profiles.
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spelling pubmed-98667402023-01-22 Top-Down Proteomics Detection of Potential Salivary Biomarkers for Autoimmune Liver Diseases Classification Olianas, Alessandra Guadalupi, Giulia Cabras, Tiziana Contini, Cristina Serrao, Simone Iavarone, Federica Castagnola, Massimo Messana, Irene Onali, Simona Chessa, Luchino Diaz, Giacomo Manconi, Barbara Int J Mol Sci Article (1) Autoimmune hepatitis (AIH) and primary biliary cholangitis (PBC) are autoimmune liver diseases characterized by chronic hepatic inflammation and progressive liver fibrosis. The possible use of saliva as a diagnostic tool has been explored in several oral and systemic diseases. The use of proteomics for personalized medicine is a rapidly emerging field. (2) Salivary proteomic data of 36 healthy controls (HCs), 36 AIH and 36 PBC patients, obtained by liquid chromatography/mass spectrometry top-down pipeline, were analyzed by multiple Mann—Whitney test, Kendall correlation, Random Forest (RF) analysis and Linear Discriminant Analysis (LDA); (3) Mann—Whitney tests provided indications on the panel of differentially expressed salivary proteins and peptides, namely cystatin A, statherin, histatin 3, histatin 5 and histatin 6, which were elevated in AIH patients with respect to both HCs and PBC patients, while S100A12, S100A9 short, cystatin S1, S2, SN and C showed varied levels in PBC with respect to HCs and/or AIH patients. RF analysis evidenced a panel of salivary proteins/peptides able to classify with good accuracy PBC vs. HCs (83.3%), AIH vs. HCs (79.9%) and PBC vs. AIH (80.2%); (4) RF appears to be an attractive machine-learning tool suited for classification of AIH and PBC based on their different salivary proteomic profiles. MDPI 2023-01-04 /pmc/articles/PMC9866740/ /pubmed/36674470 http://dx.doi.org/10.3390/ijms24020959 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Olianas, Alessandra
Guadalupi, Giulia
Cabras, Tiziana
Contini, Cristina
Serrao, Simone
Iavarone, Federica
Castagnola, Massimo
Messana, Irene
Onali, Simona
Chessa, Luchino
Diaz, Giacomo
Manconi, Barbara
Top-Down Proteomics Detection of Potential Salivary Biomarkers for Autoimmune Liver Diseases Classification
title Top-Down Proteomics Detection of Potential Salivary Biomarkers for Autoimmune Liver Diseases Classification
title_full Top-Down Proteomics Detection of Potential Salivary Biomarkers for Autoimmune Liver Diseases Classification
title_fullStr Top-Down Proteomics Detection of Potential Salivary Biomarkers for Autoimmune Liver Diseases Classification
title_full_unstemmed Top-Down Proteomics Detection of Potential Salivary Biomarkers for Autoimmune Liver Diseases Classification
title_short Top-Down Proteomics Detection of Potential Salivary Biomarkers for Autoimmune Liver Diseases Classification
title_sort top-down proteomics detection of potential salivary biomarkers for autoimmune liver diseases classification
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9866740/
https://www.ncbi.nlm.nih.gov/pubmed/36674470
http://dx.doi.org/10.3390/ijms24020959
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