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Proteomic Analysis of Human Serum from Patients with Chronic Kidney Disease
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-1...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7072325/ https://www.ncbi.nlm.nih.gov/pubmed/32046176 http://dx.doi.org/10.3390/biom10020257 |
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author | Romanova, Yulia Laikov, Alexander Markelova, Maria Khadiullina, Rania Makseev, Alfiz Hasanova, Milausha Rizvanov, Albert Khaiboullina, Svetlana Salafutdinov, Ilnur |
author_facet | Romanova, Yulia Laikov, Alexander Markelova, Maria Khadiullina, Rania Makseev, Alfiz Hasanova, Milausha Rizvanov, Albert Khaiboullina, Svetlana Salafutdinov, Ilnur |
author_sort | Romanova, Yulia |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7072325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70723252020-03-19 Proteomic Analysis of Human Serum from Patients with Chronic Kidney Disease Romanova, Yulia Laikov, Alexander Markelova, Maria Khadiullina, Rania Makseev, Alfiz Hasanova, Milausha Rizvanov, Albert Khaiboullina, Svetlana Salafutdinov, Ilnur Biomolecules Article 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. MDPI 2020-02-07 /pmc/articles/PMC7072325/ /pubmed/32046176 http://dx.doi.org/10.3390/biom10020257 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Romanova, Yulia Laikov, Alexander Markelova, Maria Khadiullina, Rania Makseev, Alfiz Hasanova, Milausha Rizvanov, Albert Khaiboullina, Svetlana Salafutdinov, Ilnur Proteomic Analysis of Human Serum from Patients with Chronic Kidney Disease |
title | Proteomic Analysis of Human Serum from Patients with Chronic Kidney Disease |
title_full | Proteomic Analysis of Human Serum from Patients with Chronic Kidney Disease |
title_fullStr | Proteomic Analysis of Human Serum from Patients with Chronic Kidney Disease |
title_full_unstemmed | Proteomic Analysis of Human Serum from Patients with Chronic Kidney Disease |
title_short | Proteomic Analysis of Human Serum from Patients with Chronic Kidney Disease |
title_sort | proteomic analysis of human serum from patients with chronic kidney disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7072325/ https://www.ncbi.nlm.nih.gov/pubmed/32046176 http://dx.doi.org/10.3390/biom10020257 |
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