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Open AccessArticle

Proteomic Analysis of Human Serum from Patients with Chronic Kidney Disease

1
Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan 420008, Tartastan, Russia
2
Republican Clinical Hospital Ministry of Health Republic of Tatarstan, Kazan 420064, Tatarstan, Russia
3
Department of Urology and Nephrology, Kazan State Medical Academy, Kazan 420012, Tatarstan, Russia
4
Department of Microbiology and Immunology, University of Nevada, Reno, NV 89557, USA
*
Authors to whom correspondence should be addressed.
Biomolecules 2020, 10(2), 257; https://doi.org/10.3390/biom10020257
Received: 21 January 2020 / Revised: 4 February 2020 / Accepted: 5 February 2020 / Published: 7 February 2020
(This article belongs to the Special Issue Molecular Mechanisms of Kidney Injury and Repair)
Chronic kidney disease (CKD) is an important public health problem in the world. The aim of our research was to identify novel potential serum biomarkers of renal injury. ELISA assay showed that cytokines and chemokines IL-1β, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12 (p70), IL-13, IL-15, IL-17, Eotaxin, FGFb, G-CSF, GM-CSF, IP-10, MCP-1, MIP-1α, MIP-1β, PDGF-1bb, RANTES, TNF-α and VEGF were significantly higher (R > 0.6, p value < 0.05) in the serum of patients with CKD compared to healthy subjects, and they were positively correlated with well-established markers (urea and creatinine). The multiple reaction monitoring (MRM) quantification method revealed that levels of HSP90B2, AAT, IGSF22, CUL5, PKCE, APOA4, APOE, APOA1, CCDC171, CCDC43, VIL1, Antigen KI-67, NKRF, APPBP2, CAPRI and most complement system proteins were increased in serum of CKD patients compared to the healthy group. Among complement system proteins, the C8G subunit was significantly decreased three-fold in patients with CKD. However, only AAT and HSP90B2 were positively correlated with well-established markers and, therefore, could be proposed as potential biomarkers for CKD.
Keywords: chronic kidney disease; inflammation; cytokines; biomarkers; 2D-DIGE; multiple reaction monitoring chronic kidney disease; inflammation; cytokines; biomarkers; 2D-DIGE; multiple reaction monitoring
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MDPI and ACS Style

Romanova, Y.; Laikov, A.; Markelova, M.; Khadiullina, R.; Makseev, A.; Hasanova, M.; Rizvanov, A.; Khaiboullina, S.; Salafutdinov, I. Proteomic Analysis of Human Serum from Patients with Chronic Kidney Disease. Biomolecules 2020, 10, 257.

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