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TMT-Based Proteomic Analysis of Plasma from Children with Rolandic Epilepsy
Rolandic epilepsy is one of the most common epileptic syndromes in childhood. We used TMT-based proteomics and bioinformatics analysis to identify the differentially expressed proteins in plasma of children with Rolandic epilepsy. Our aim was to provide a molecular basis for exploring possible mecha...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563079/ https://www.ncbi.nlm.nih.gov/pubmed/33082886 http://dx.doi.org/10.1155/2020/8840482 |
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author | Sun, Ji Jiang, Tiechao Gu, Feng Ma, Dihui Liang, Jianmin |
author_facet | Sun, Ji Jiang, Tiechao Gu, Feng Ma, Dihui Liang, Jianmin |
author_sort | Sun, Ji |
collection | PubMed |
description | Rolandic epilepsy is one of the most common epileptic syndromes in childhood. We used TMT-based proteomics and bioinformatics analysis to identify the differentially expressed proteins in plasma of children with Rolandic epilepsy. Our aim was to provide a molecular basis for exploring possible mechanisms underlying the pathogenesis of epilepsy. Subjects were divided into two groups (five in each): patients with Rolandic epilepsy as cases and patients with migraine as controls. Total proteins were extracted and quantitatively labeled with TMT, then analyzed using liquid chromatography mass spectrometry. Bioinformatics analysis was used to identify the hub genes. A total of 752 proteins were identified, of which 670 contained quantitative proteins. 217 differentially expressed proteins were identified, 46 of which were only upregulated in more than two groups and 111 of which were only downregulated in more than two groups. Bioinformatics analysis revealed top 10 hub genes in the up- and downregulated groups, respectively. Our study demonstrates that some differentially expressed proteins are associated with epilepsy. Activation of acute-phase or innate immune response and complement and fibrinogen systems and repression of glycolysis, lipoprotein metabolism, and antioxidant activity may play a role in the development of epilepsy. |
format | Online Article Text |
id | pubmed-7563079 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-75630792020-10-19 TMT-Based Proteomic Analysis of Plasma from Children with Rolandic Epilepsy Sun, Ji Jiang, Tiechao Gu, Feng Ma, Dihui Liang, Jianmin Dis Markers Research Article Rolandic epilepsy is one of the most common epileptic syndromes in childhood. We used TMT-based proteomics and bioinformatics analysis to identify the differentially expressed proteins in plasma of children with Rolandic epilepsy. Our aim was to provide a molecular basis for exploring possible mechanisms underlying the pathogenesis of epilepsy. Subjects were divided into two groups (five in each): patients with Rolandic epilepsy as cases and patients with migraine as controls. Total proteins were extracted and quantitatively labeled with TMT, then analyzed using liquid chromatography mass spectrometry. Bioinformatics analysis was used to identify the hub genes. A total of 752 proteins were identified, of which 670 contained quantitative proteins. 217 differentially expressed proteins were identified, 46 of which were only upregulated in more than two groups and 111 of which were only downregulated in more than two groups. Bioinformatics analysis revealed top 10 hub genes in the up- and downregulated groups, respectively. Our study demonstrates that some differentially expressed proteins are associated with epilepsy. Activation of acute-phase or innate immune response and complement and fibrinogen systems and repression of glycolysis, lipoprotein metabolism, and antioxidant activity may play a role in the development of epilepsy. Hindawi 2020-10-07 /pmc/articles/PMC7563079/ /pubmed/33082886 http://dx.doi.org/10.1155/2020/8840482 Text en Copyright © 2020 Ji Sun et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Sun, Ji Jiang, Tiechao Gu, Feng Ma, Dihui Liang, Jianmin TMT-Based Proteomic Analysis of Plasma from Children with Rolandic Epilepsy |
title | TMT-Based Proteomic Analysis of Plasma from Children with Rolandic Epilepsy |
title_full | TMT-Based Proteomic Analysis of Plasma from Children with Rolandic Epilepsy |
title_fullStr | TMT-Based Proteomic Analysis of Plasma from Children with Rolandic Epilepsy |
title_full_unstemmed | TMT-Based Proteomic Analysis of Plasma from Children with Rolandic Epilepsy |
title_short | TMT-Based Proteomic Analysis of Plasma from Children with Rolandic Epilepsy |
title_sort | tmt-based proteomic analysis of plasma from children with rolandic epilepsy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563079/ https://www.ncbi.nlm.nih.gov/pubmed/33082886 http://dx.doi.org/10.1155/2020/8840482 |
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