Urinary Proteomic Shifts over Time and Their Associations with eGFR Decline in Chronic Kidney Disease
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...
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2025-01-01
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| author | Zhalaliddin Makhammajanov Kamila Nurlybayeva Zikrillo Artikov Pavel Tarlykov Mohamad Aljofan Rostislav Bukasov Duman Turebekov Syed Hani Abidi Mehmet Kanbay Abduzhappar Gaipov |
| author_facet | Zhalaliddin Makhammajanov Kamila Nurlybayeva Zikrillo Artikov Pavel Tarlykov Mohamad Aljofan Rostislav Bukasov Duman Turebekov Syed Hani Abidi Mehmet Kanbay Abduzhappar Gaipov |
| author_sort | Zhalaliddin Makhammajanov |
| collection | DOAJ |
| 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 identified in CKD patients, and 271 were identified (median emPAI 47) in controls. At follow-up, 285 proteins (median emPAI 44.8) were identified in CKD patients, and 252 were identified (median emPAI 34.2) in controls. FBN1 was positively associated with eGFR, while FETUA showed a significant negative correlation at baseline. At follow-up, VTDB shifted from a negative baseline to a positive association with eGFR over time. CD44 and FBN1 shifted from a positive baseline to a negative association over time. These findings highlight VTDB, FBN1, and CD44 as potential prognostic biomarkers, providing insights into CKD progression and therapeutic targets. |
| format | Article |
| id | doaj-art-362914628ce542a3a89f5776510b8f82 |
| institution | Kabale University |
| issn | 2218-273X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
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| series | Biomolecules |
| spelling | doaj-art-362914628ce542a3a89f5776510b8f822025-01-24T13:24:58ZengMDPI AGBiomolecules2218-273X2025-01-011514510.3390/biom15010045Urinary Proteomic Shifts over Time and Their Associations with eGFR Decline in Chronic Kidney DiseaseZhalaliddin Makhammajanov0Kamila Nurlybayeva1Zikrillo Artikov2Pavel Tarlykov3Mohamad Aljofan4Rostislav Bukasov5Duman Turebekov6Syed Hani Abidi7Mehmet Kanbay8Abduzhappar Gaipov9Department of Biomedical Sciences, School of Medicine, Nazarbayev University, Astana 010000, KazakhstanSchool of Medicine, Koc University, Istanbul 34450, TurkeyDepartment of Therapy, National Scientific Medical Center, Astana 010000, KazakhstanDepartment of Proteomics and Mass Spectroscopy, National Center for Biotechnology, Astana 010000, KazakhstanDepartment of Biomedical Sciences, School of Medicine, Nazarbayev University, Astana 010000, KazakhstanDepartment of Chemistry, School of Sciences and Humanities, Nazarbayev University, Astana 010000, KazakhstanDepartment of Internal Medicine, Astana Medical University, Astana 010000, KazakhstanDepartment of Biomedical Sciences, School of Medicine, Nazarbayev University, Astana 010000, KazakhstanDivision of Nephrology, Department of Internal Medicine, Koc University, Istanbul 34450, TurkeyDepartment of Medicine, School of Medicine, Nazarbayev University, Astana 010000, KazakhstanChronic 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 identified in CKD patients, and 271 were identified (median emPAI 47) in controls. At follow-up, 285 proteins (median emPAI 44.8) were identified in CKD patients, and 252 were identified (median emPAI 34.2) in controls. FBN1 was positively associated with eGFR, while FETUA showed a significant negative correlation at baseline. At follow-up, VTDB shifted from a negative baseline to a positive association with eGFR over time. CD44 and FBN1 shifted from a positive baseline to a negative association over time. These findings highlight VTDB, FBN1, and CD44 as potential prognostic biomarkers, providing insights into CKD progression and therapeutic targets.https://www.mdpi.com/2218-273X/15/1/45biomarkersVTDBCD44FBN1urinary proteomicsproteinuria |
| spellingShingle | Zhalaliddin Makhammajanov Kamila Nurlybayeva Zikrillo Artikov Pavel Tarlykov Mohamad Aljofan Rostislav Bukasov Duman Turebekov Syed Hani Abidi Mehmet Kanbay Abduzhappar Gaipov Urinary Proteomic Shifts over Time and Their Associations with eGFR Decline in Chronic Kidney Disease Biomolecules biomarkers VTDB CD44 FBN1 urinary proteomics proteinuria |
| title | Urinary Proteomic Shifts over Time and Their Associations with eGFR Decline in Chronic Kidney Disease |
| title_full | Urinary Proteomic Shifts over Time and Their Associations with eGFR Decline in Chronic Kidney Disease |
| title_fullStr | Urinary Proteomic Shifts over Time and Their Associations with eGFR Decline in Chronic Kidney Disease |
| title_full_unstemmed | Urinary Proteomic Shifts over Time and Their Associations with eGFR Decline in Chronic Kidney Disease |
| title_short | Urinary Proteomic Shifts over Time and Their Associations with eGFR Decline in Chronic Kidney Disease |
| title_sort | urinary proteomic shifts over time and their associations with egfr decline in chronic kidney disease |
| topic | biomarkers VTDB CD44 FBN1 urinary proteomics proteinuria |
| url | https://www.mdpi.com/2218-273X/15/1/45 |
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