URINARY PROTEIN PROFILING FOR POTENTIAL BIOMARKERS OF CHRONIC KIDNEY DISEASE: A PILOT STUDY

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dc.contributor.authorGaipov, Abduzhappar
dc.contributor.authorMakhammajanov, Zhalaliddin
dc.contributor.authorDauyey, Zhanna
dc.contributor.authorMarkhametova, Zhannur
dc.contributor.authorMussina, Kamilla
dc.contributor.authorNogaibayeva, Assem
dc.contributor.authorKozina, Larissa
dc.contributor.authorAuganova, Dana
dc.contributor.authorTarlykov, Pavel
dc.contributor.authorBukasov, Rostislav
dc.contributor.authorUtegulov, Zhandos
dc.contributor.authorTurebekov, Duman
dc.contributor.authorSoler, Maria Jose
dc.contributor.authorOrtiz, Alberto
dc.contributor.authorKanbay, Mehmet
dc.date.accessioned2023-04-07T09:31:29Z
dc.date.available2023-04-07T09:31:29Z
dc.date.issued2022
dc.description.abstractProteinuria is a risk factor for chronic kidney disease (CKD) progression and associated complications. However, there is insufficient information on individual protein components in urine and the severity of CKD. We aimed to investigate urinary proteomics and its association with proteinuria and kidney function in early-stage CKD and in healthy individuals. A 24 h urine sample of 42 individuals (21-CKD and 21-healthy individuals) was used for mass spectrometry-based proteomics analysis. An exponentially modified protein abundance index (emPAI) was calculated for each protein. Data were analyzed by Mascot software using the SwissProt database and bioinformatics tools. Overall, 298 unique proteins were identified in the cohort; of them, 250 proteins belong to the control group with median (IQR) emPAI 39.1 (19–53) and 142 proteins belong to the CKD group with median (IQR) emPAI 67.8 (49–117). The level of 24 h proteinuria positively correlated with emPAI (r = 0.390, p = 0.011). The emPAI of some urinary proteomics had close positive (ALBU, ZA2G, IGKC) and negative (OSTP, CD59, UROM, KNG1, RNAS1, CD44, AMBP) correlations (r < 0.419, p < 0.001) with 24 h proteinuria levels. Additionally, a few proteins (VTDB, AACT, A1AG2, VTNC, and CD44) significantly correlated with kidney function. In this proteomics study, several urinary proteins correlated with proteinuria and kidney function. Pathway analysis identified subpathways potentially related to early proteinuric CKD, allowing the design of prospective studies that explore their response to therapy and their relationship to long-term outcomes.en_US
dc.identifier.citationGaipov, A., Makhammajanov, Z., Dauyey, Z., Markhametova, Z., Mussina, K., Nogaibayeva, A., Kozina, L., Auganova, D., Tarlykov, P., Bukasov, R., Utegulov, Z., Turebekov, D., Soler, M. J., Ortiz, A., & Kanbay, M. (2022). Urinary Protein Profiling for Potential Biomarkers of Chronic Kidney Disease: A Pilot Study. Diagnostics, 12(11), 2583. https://doi.org/10.3390/diagnostics12112583en_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/7012
dc.language.isoenen_US
dc.publisherDiagnosticsen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjecturinary proteomicsen_US
dc.subjectproteinuriaen_US
dc.subjectchronic kidney diseaseen_US
dc.subjectbiomarkersen_US
dc.titleURINARY PROTEIN PROFILING FOR POTENTIAL BIOMARKERS OF CHRONIC KIDNEY DISEASE: A PILOT STUDYen_US
dc.typeArticleen_US
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