TY - JOUR
T1 - Top-Down Proteomics Detection of Potential Salivary Biomarkers for Autoimmune Liver Diseases Classification
AU - Olianas, Alessandra
AU - Guadalupi, Giulia
AU - Cabras, Tiziana
AU - Contini, Cristina
AU - Serrao, Simone
AU - Iavarone, Federica
AU - Castagnola, Massimo
AU - Messana, Irene
AU - Onali, Simona
AU - Onali, Sebastiano
AU - Chessa, Luchino
AU - Diaz, Giacomo
AU - Manconi, Barbara
PY - 2023
Y1 - 2023
N2 - (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.
AB - (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.
KW - RF analysis
KW - autoimmune hepatitis
KW - biomarkers
KW - primary biliary cholangitis
KW - salivary proteomics
KW - top-down proteomics
KW - RF analysis
KW - autoimmune hepatitis
KW - biomarkers
KW - primary biliary cholangitis
KW - salivary proteomics
KW - top-down proteomics
UR - http://hdl.handle.net/10807/262299
U2 - 10.3390/ijms24020959
DO - 10.3390/ijms24020959
M3 - Article
SN - 1422-0067
VL - 24
SP - N/A-N/A
JO - International Journal of Molecular Sciences
JF - International Journal of Molecular Sciences
ER -