{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Makhammajanov Z"],"funding":["Nazarbayev University Collaborative Research Program"],"pagination":["45"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11762955"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["15(1)"],"pubmed_abstract":["Chronic kidney disease (CKD) is a progressive condition characterized by declining renal function, with limited biomarkers to predict its progression. The early identification of prognostic biomarkers is crucial for improving patient care and therapeutic strategies. This follow-up study investigated urinary proteomics and clinical outcomes in 18 CKD patients (stages 1-3) and 15 healthy controls using liquid chromatography-mass spectrometry and Mascot-SwissProt for protein identification. The exponentially modified protein abundance index (emPAI) was used for peptide quantification. Regression analyses were used to evaluate relationships between urinary proteins and the estimated glomerular filtration rate (eGFR), adjusting for proteinuria. At baseline, 171 proteins (median emPAI 86) were i"],"journal":["Biomolecules"],"pubmed_title":["Urinary Proteomic Shifts over Time and Their Associations with eGFR Decline in Chronic Kidney Disease."],"pmcid":["PMC11762955"],"funding_grant_id":["211123CRP1603"],"pubmed_authors":["Tarlykov P","Turebekov D","Makhammajanov Z","Nurlybayeva K","Gaipov A","Kanbay M","Bukasov R","Abidi SH","Aljofan M","Artikov Z"],"additional_accession":[]},"is_claimable":false,"name":"Urinary Proteomic Shifts over Time and Their Associations with eGFR Decline in Chronic Kidney Disease.","description":"Chronic kidney disease (CKD) is a progressive condition characterized by declining renal function, with limited biomarkers to predict its progression. The early identification of prognostic biomarkers is crucial for improving patient care and therapeutic strategies. This follow-up study investigated urinary proteomics and clinical outcomes in 18 CKD patients (stages 1-3) and 15 healthy controls using liquid chromatography-mass spectrometry and Mascot-SwissProt for protein identification. The exponentially modified protein abundance index (emPAI) was used for peptide quantification. Regression analyses were used to evaluate relationships between urinary proteins and the estimated glomerular filtration rate (eGFR), adjusting for proteinuria. At baseline, 171 proteins (median emPAI 86) were i","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jan","modification":"2026-04-15T03:20:25.478Z","creation":"2025-04-05T19:19:50.662Z"},"accession":"S-EPMC11762955","cross_references":{"pubmed":["39858440"],"doi":["10.3390/biom15010045"]}}