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Proteomic analysis of differentially expressed proteins in the serum of patients with acute renal allograft rejection using iTRAQ labelling technology

Transplantation is currently the best treatment for patients with end-stage renal disease. However, acute rejection (AR) is the major source of failure in renal transplantation. The current best practice for the diagnosis of AR involves renal biopsy, but it is invasive, time-consuming, costly and in...

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Autores principales: Zhang, Yue, Ou, Minglin, Lin, Hua, Lai, Liusheng, Chen, Huaizhou, Chen, Jiejing, Sui, Weiguo, Xue, Wen, Zhang, Ruohan, Gan, Qing, Tang, Donge, Sun, Xuyong, Dong, Jianhui, Yan, Qiang, Dai, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411402/
https://www.ncbi.nlm.nih.gov/pubmed/32705285
http://dx.doi.org/10.3892/mmr.2020.11299
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author Zhang, Yue
Ou, Minglin
Lin, Hua
Lai, Liusheng
Chen, Huaizhou
Chen, Jiejing
Sui, Weiguo
Xue, Wen
Zhang, Ruohan
Gan, Qing
Tang, Donge
Sun, Xuyong
Dong, Jianhui
Yan, Qiang
Dai, Yong
author_facet Zhang, Yue
Ou, Minglin
Lin, Hua
Lai, Liusheng
Chen, Huaizhou
Chen, Jiejing
Sui, Weiguo
Xue, Wen
Zhang, Ruohan
Gan, Qing
Tang, Donge
Sun, Xuyong
Dong, Jianhui
Yan, Qiang
Dai, Yong
author_sort Zhang, Yue
collection PubMed
description Transplantation is currently the best treatment for patients with end-stage renal disease. However, acute rejection (AR) is the major source of failure in renal transplantation. The current best practice for the diagnosis of AR involves renal biopsy, but it is invasive, time-consuming, costly and inconvenient. Sensitive and less invasive detection of AR episodes in renal transplant patients is essential to preserve allograft function. The present study applied isobaric tags for relative and absolute quantitation (iTRAQ) mass spectrometry to analyze serum protein expression in patients with AR and healthy controls. Overall, 1,399 proteins were identified. Using a cut-off of Q<0.05 and a fold change of >1.2 for the variation in expression, 109 proteins were identified to be differentially expressed between the AR and control groups, 72 of which were upregulated and 37 were downregulated. Several proteins, including properdin, keratin 1, lipoprotein(a) and vitamin D-binding protein, may have roles in the pathogenesis of AR. The present study focused on iTRAQ-based proteomic profiling of serum samples in AR. Insight from the present study may help advance the understanding of the molecular mechanisms of AR and identify potential novel biomarkers of AR for further characterization.
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spelling pubmed-74114022020-08-14 Proteomic analysis of differentially expressed proteins in the serum of patients with acute renal allograft rejection using iTRAQ labelling technology Zhang, Yue Ou, Minglin Lin, Hua Lai, Liusheng Chen, Huaizhou Chen, Jiejing Sui, Weiguo Xue, Wen Zhang, Ruohan Gan, Qing Tang, Donge Sun, Xuyong Dong, Jianhui Yan, Qiang Dai, Yong Mol Med Rep Articles Transplantation is currently the best treatment for patients with end-stage renal disease. However, acute rejection (AR) is the major source of failure in renal transplantation. The current best practice for the diagnosis of AR involves renal biopsy, but it is invasive, time-consuming, costly and inconvenient. Sensitive and less invasive detection of AR episodes in renal transplant patients is essential to preserve allograft function. The present study applied isobaric tags for relative and absolute quantitation (iTRAQ) mass spectrometry to analyze serum protein expression in patients with AR and healthy controls. Overall, 1,399 proteins were identified. Using a cut-off of Q<0.05 and a fold change of >1.2 for the variation in expression, 109 proteins were identified to be differentially expressed between the AR and control groups, 72 of which were upregulated and 37 were downregulated. Several proteins, including properdin, keratin 1, lipoprotein(a) and vitamin D-binding protein, may have roles in the pathogenesis of AR. The present study focused on iTRAQ-based proteomic profiling of serum samples in AR. Insight from the present study may help advance the understanding of the molecular mechanisms of AR and identify potential novel biomarkers of AR for further characterization. D.A. Spandidos 2020-09 2020-07-06 /pmc/articles/PMC7411402/ /pubmed/32705285 http://dx.doi.org/10.3892/mmr.2020.11299 Text en Copyright: © Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Zhang, Yue
Ou, Minglin
Lin, Hua
Lai, Liusheng
Chen, Huaizhou
Chen, Jiejing
Sui, Weiguo
Xue, Wen
Zhang, Ruohan
Gan, Qing
Tang, Donge
Sun, Xuyong
Dong, Jianhui
Yan, Qiang
Dai, Yong
Proteomic analysis of differentially expressed proteins in the serum of patients with acute renal allograft rejection using iTRAQ labelling technology
title Proteomic analysis of differentially expressed proteins in the serum of patients with acute renal allograft rejection using iTRAQ labelling technology
title_full Proteomic analysis of differentially expressed proteins in the serum of patients with acute renal allograft rejection using iTRAQ labelling technology
title_fullStr Proteomic analysis of differentially expressed proteins in the serum of patients with acute renal allograft rejection using iTRAQ labelling technology
title_full_unstemmed Proteomic analysis of differentially expressed proteins in the serum of patients with acute renal allograft rejection using iTRAQ labelling technology
title_short Proteomic analysis of differentially expressed proteins in the serum of patients with acute renal allograft rejection using iTRAQ labelling technology
title_sort proteomic analysis of differentially expressed proteins in the serum of patients with acute renal allograft rejection using itraq labelling technology
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411402/
https://www.ncbi.nlm.nih.gov/pubmed/32705285
http://dx.doi.org/10.3892/mmr.2020.11299
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