scholarly journals Computational Identification of Guillain-Barre Syndrome Related Genes by an mRNA Gene Expression Profile and a Protein-Protein Interaction Network

2021 ◽  
Author(s):  
Chunyang Wang ◽  
Shiwei Liao ◽  
Xiaowei Hu ◽  
Jing Xu
Keyword(s):  
Gene Expression ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Protein Interaction ◽  
Critical Role ◽  
Computational Method ◽  
Guillain Barre Syndrome ◽  
Protein Protein Interaction ◽  
Guillain Barré Syndrome ◽  
Guillain Barré

Abstract Background In this study, we developed a computational method to identify Guillain–Barré syndrome (GBS) related genes based on (i) a gene expression profile, and (ii) the shortest path analysis in a protein-protein interaction (PPI) network. Results Totally 30 GBS related genes were screened out, in which 20 were retrieved from PPI analysis of up-regulated expressed genes and 23 were from down-regulated expressed genes (13 overlap genes). GO enrichment and KEGG enrichment analysis were performed respectively. Results showed that there were some overlap GO terms and KEGG pathway terms in both up-regulated and down-regulated analysis, which indicated these terms may play critical role during GBS process. Discussion These results could shed some light on the understanding of the Genetic and molecular pathogenesis of GBS disease, providing basis for future experimental biology studies and for the development of effective genetic strategies for GBS clinical therapies.

scholarly journals Computational Identification of Guillain-Barre Syndrome Related Genes by an mRNA Gene Expression Profile and a Protein-Protein Interaction Network

2021 ◽  
Author(s):  
Chunyang Wang ◽  
Shiwei Liao ◽  
jing xu
Keyword(s):  
Gene Expression ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Shortest Path ◽  
Protein Interaction ◽  
Guillain Barre Syndrome ◽  
Ppi Network ◽  
Protein Protein Interaction ◽  
Guillain Barré Syndrome ◽  
Guillain Barré

Abstract In this study, we developed a computational method to identify Guillain–Barré syndrome (GBS) related genes based on (i) a gene expression profile, and (ii) the shortest path analysis in a protein-protein interaction (PPI) network. The mRMR (Maximum Relevance Minimum Redundancy) method was employed to select significant genes from an mRNA profile dataset of GBS patients and healthy controls. The protein products of the significant genes were then mapped to a PPI network generated from the STRING database. Shortest paths were computed and all shortest path proteins were picked out and were ranked according to their betweenness. Related genes of the top-most proteins in the ordered list were then retrieved and were regarded as potential GBS related genes in this study. As a result, totally 30 GBS related genes were screened out, in which 20 were retrieved from PPI analysis of up-regulated expressed genes and 23 were from down-regulated expressed genes (13 overlap genes). GO enrichment and KEGG enrichment analysis were performed respectively. Results showed that there were some overlap GO terms and KEGG pathway terms in both up-regulated and down-regulated analysis, which indicated these terms may play critical role during GBS process. These results could shed some light on the understanding of the Genetic and molecular pathogenesis of GBS disease, providing basis for future experimental biology studies and for the development of effective genetic strategies for GBS clinical therapies.

scholarly journals Beneficial or Harmful Role of Macrophages in Guillain-Barré Syndrome and Experimental Autoimmune Neuritis

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Donghui Shen ◽  
Fengna Chu ◽  
Yue Lang ◽  
Yunlong Geng ◽  
Xiangyu Zheng ◽  
...  
Keyword(s):  
Macrophage Polarization ◽  
Critical Role ◽  
Decisive Role ◽  
Guillain Barre Syndrome ◽  
Experimental Autoimmune Neuritis ◽  
Guillain Barré Syndrome ◽  
Anti Inflammatory ◽  
Autoimmune Demyelination ◽  
Guillain Barré ◽  
Experimental Autoimmune

Guillain-Barré syndrome (GBS), an immune-mediated demyelinating peripheral neuropathy, is characterized by acute weakness of the extremities and areflexia or hyporeflexia. Experimental autoimmune neuritis (EAN) is a common animal model for GBS, which represents a CD4+ T cell-mediated inflammatory autoimmune demyelination of the peripheral nervous system (PNS), and is used to investigate the pathogenic mechanism of GBS. It has been found that macrophages play a critical role in the pathogenesis of both GBS and EAN. Macrophages have been primarily classified into two major phenotypes: proinflammatory macrophages (M1) and anti-inflammatory macrophages (M2). The two different macrophage subsets M1 and M2 may play a decisive role in initiation and development of GBS and EAN. However, recently, it has been indicated that the roles of macrophages in immune regulation and autoimmune diseases are more complex than those suggested by a simple M1-M2 dichotomy. Macrophages might exert either inflammatory or anti-inflammatory effect by secreting pro- or anti-inflammatory cytokines, and either inducing the activation of T cells to mediate immune response, resulting in inflammation and demyelination in the PNS, or promoting disease recovery. In this review, we summarize the dual roles of macrophages in GBS and EAN and explore the mechanism of macrophage polarization to provide a potential therapeutic approach for GBS in the future.

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