Candidate protein biomarkers in chronic kidney disease: a proteomics study

dc.contributor.authorMakhammajanov Zhalaliddin
dc.contributor.authorKabayeva Assem
dc.contributor.authorAuganova Dana
dc.contributor.authorTarlykov Pavel
dc.contributor.authorBukasov Rostislav
dc.contributor.authorTurebekov Duman
dc.contributor.authorKanbay Mehmet
dc.contributor.authorMolnar Miklos Z.
dc.contributor.authorKovesdy Csaba P.
dc.contributor.authorAbidi Syed Hani
dc.contributor.authorGaipov Abduzhappar
dc.date.accessioned2025-08-26T10:06:52Z
dc.date.available2025-08-26T10:06:52Z
dc.date.issued2024-06-18
dc.description.abstractProteinuria poses a substantial risk for the progression of chronic kidney disease (CKD) and its related complications. Kidneys excrete hundreds of individual proteins, some with a potential impact on CKD progression or as a marker of the disease. However, the available data on specific urinary proteins and their relationship with CKD severity remain limited. Therefore, we aimed to investigate the urinary proteome and its association with kidney function in CKD patients and healthy controls. The proteomic analysis of urine samples showed CKD stage-specific differences in the number of detected proteins and the exponentially modified protein abundance index for total protein (p = 0.007). Notably, specific urinary proteins such as B2MG, FETUA, VTDB, and AMBP exhibited robust negative associations with kidney function in CKD patients compared to controls. Also, A1AG2, CD44, CD59, CERU, KNG1, LV39, OSTP, RNAS1, SH3L3, and UROM proteins showed positive associations with kidney function in the entire cohort, while LV39, A1BG, and CERU consistently displayed positive associations in patients compared to controls. This study suggests that specific urinary proteins, which were found to be negatively or positively associated with the kidney function of CKD patients, can serve as markers of dysfunctional or functional kidneys, respectively.en
dc.identifier.citationMakhammajanov Zhalaliddin; Kabayeva Assem; Auganova Dana; Tarlykov Pavel; Bukasov Rostislav; Turebekov Duman; Kanbay Mehmet; Molnar Miklos Z.; Kovesdy Csaba P.; Abidi Syed Hani; Gaipov Abduzhappar. (2024). Candidate protein biomarkers in chronic kidney disease: a proteomics study. Scientific Reports. https://doi.org/10.1038/s41598-024-64833-8en
dc.identifier.doi10.1038/s41598-024-64833-8
dc.identifier.urihttps://doi.org/10.1038/s41598-024-64833-8
dc.identifier.urihttps://nur.nu.edu.kz/handle/123456789/10143
dc.language.isoen
dc.publisherSpringer Science and Business Media LLC
dc.rightsAll rights reserveden
dc.source(2024)en
dc.subject Biomarkers, Chronic kidney disease, Proteinuria, Urinary proteomics, type of access: open access.en
dc.titleCandidate protein biomarkers in chronic kidney disease: a proteomics studyen
dc.typearticleen

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