Urinary Protein Profiling for Potential Biomarkers of Chronic Kidney Disease : A Pilot Study
Gaipov, Abduzhappar (CF "University Medical Center" (Kazajistán))
Makhammajanov, Zhalaliddin (CF "University Medical Center" (Kazajistán))
Dauyey, Zhanna (CF "University Medical Center" (Kazajistán))
Markhametova, Zhannur (CF "University Medical Center" (Kazajistán))
Mussina, Kamilla (CF "University Medical Center" (Kazajistán))
Nogaibayeva, Assem (CF "University Medical Center" (Kazajistán))
Kozina, Larissa (CF "University Medical Center" (Kazajistán))
Auganova, Dana (CF "University Medical Center" (Kazajistán))
Tarlykov, Pavel (CF "University Medical Center" (Kazajistán))
Bukasov, Rostislav (CF "University Medical Center" (Kazajistán))
Utegulov, Zhandos (CF "University Medical Center" (Kazajistán))
Turebekov, Duman (CF "University Medical Center" (Kazajistán))
Soler, María José (Hospital Universitari Vall d'Hebron)
Ortiz, Alberto (Universidad Autónoma de Madrid)
Kanbay, Mehmet (Koc University School of Medicine)
Universitat Autònoma de Barcelona

Date:	2022
Abstract:	Proteinuria 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.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Urinary proteomics ; Proteinuria ; Chronic kidney disease ; Biomarkers
Published in:	Diagnostics, Vol. 12 (october 2022) , ISSN 2075-4418

DOI: 10.3390/diagnostics12112583
PMID: 36359427

15 p, 2.8 MB

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