{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["11"],"submitter":["Picolo BU"],"pubmed_abstract":["<h4>Introduction</h4>Chronic kidney disease (CKD) is a global public health problem, and the absence of reliable and accurate diagnostic and monitoring tools contributes to delayed treatment, impacting patients' quality of life and increasing treatment costs in public health. Proteomics using saliva is a key strategy for identifying potential disease biomarkers.<h4>Methods</h4>We analyzed the untargeted proteomic profiles of saliva samples from 20 individuals with end-stage kidney disease (ESKD) (<i>n</i> = 10) and healthy individuals (<i>n</i> = 10) using liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify potential biomarkers for CKD. A volcano plot was generated using a <i>p</i>-value of ≤0.05 and a fold change (FC) ≥ 2.0. Multivariate analysis was performed to generat"],"journal":["Frontiers in medicine"],"pagination":["1302637"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11784343"],"repository":["biostudies-literature"],"pubmed_title":["Salivary proteomics profiling reveals potential biomarkers for chronic kidney disease: a pilot study."],"pmcid":["PMC11784343"],"pubmed_authors":["Saraiva da Silva L","de Sousa LCM","Polveiro RC","Goulart Filho LR","Silva NR","Martins MM","Almeida-Souza HO","Sabino-Silva R","Alonso-Goulart V","Picolo BU"],"additional_accession":[]},"is_claimable":false,"name":"Salivary proteomics profiling reveals potential biomarkers for chronic kidney disease: a pilot study.","description":"<h4>Introduction</h4>Chronic kidney disease (CKD) is a global public health problem, and the absence of reliable and accurate diagnostic and monitoring tools contributes to delayed treatment, impacting patients' quality of life and increasing treatment costs in public health. Proteomics using saliva is a key strategy for identifying potential disease biomarkers.<h4>Methods</h4>We analyzed the untargeted proteomic profiles of saliva samples from 20 individuals with end-stage kidney disease (ESKD) (<i>n</i> = 10) and healthy individuals (<i>n</i> = 10) using liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify potential biomarkers for CKD. A volcano plot was generated using a <i>p</i>-value of ≤0.05 and a fold change (FC) ≥ 2.0. Multivariate analysis was performed to generat","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024","modification":"2026-04-08T19:50:05.391Z","creation":"2025-04-05T09:32:28.06Z"},"accession":"S-EPMC11784343","cross_references":{"pubmed":["39895822"],"doi":["10.3389/fmed.2024.1302637"]}}