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多发性硬化症与缺血性中风之间的共享基因表达

Shared Gene Expression Between Multiple Sclerosis and Ischemic Stroke.

作者信息

Li He, Chen Lin, Ma Xiaofeng, Cui Pan, Lang Wenjing, Hao Junwei

机构信息

Department of Neurology and Tianjin Neurological Institute, General Hospital, Tianjin Medical University, Tianjin, China.

Key Laboratory of Post-Neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Ministry of Education and Tianjin City, Tianjin, China.

出版信息

Front Genet. 2019 Feb 11;9:598. doi: 10.3389/fgene.2018.00598. eCollection 2018.

DOI:10.3389/fgene.2018.00598
PMID:30809253
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6379658/
Abstract

Patients with multiple sclerosis (MS) appear to have an increased risk of ischemic stroke (IS). Although MS and IS have very different phenotypes, gene-based and pathway-based analyses of large-scale genome-wide association studies (GWAS) have increasingly enhanced our understanding of these two diseases. Whether there are common molecular mechanisms connecting MS and IS is still unclear. Here, we describe the outcome of gene-based test and pathway-based analysis of GWAS datasets that explored potential gene expression links between MS and IS. After identifying significant gene sets individually of MS and IS, we performed pathway-based analysis in four biological pathway databases (KEGG, PANTHER, REACTOME, and WikiPathways) and GO categories. We discovered that there were 9 shared pathways between MS and IS in KEGG, 2 in PANTHER, 14 in REACTOME, 1 in WikiPathways, and 194 in GO annotations ( < 0.05). These results provide an improved understanding about possible shared mechanisms and treatments strategies for MS and IS. They also provide some basis for further studies of how these two diseases are linked at the molecular level.

摘要

多发性硬化症(MS)患者发生缺血性中风(IS)的风险似乎有所增加。尽管MS和IS具有截然不同的表型,但基于基因和基于通路的大规模全基因组关联研究(GWAS)分析日益增进了我们对这两种疾病的理解。连接MS和IS的共同分子机制是否存在仍不清楚。在此,我们描述了对GWAS数据集进行基于基因的检验和基于通路的分析的结果,该分析探索了MS和IS之间潜在的基因表达联系。在分别鉴定出MS和IS的显著基因集后,我们在四个生物通路数据库(KEGG、PANTHER、REACTOME和WikiPathways)以及基因本体(GO)类别中进行了基于通路的分析。我们发现,在KEGG中MS和IS之间有9条共享通路,在PANTHER中有2条,在REACTOME中有14条,在WikiPathways中有1条,在GO注释中有194条(P<0.05)。这些结果有助于更好地理解MS和IS可能的共同机制及治疗策略。它们还为进一步研究这两种疾病在分子水平上的联系提供了一些依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/396f/6379658/03577500e7ad/fgene-09-00598-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/396f/6379658/f2261ab09d13/fgene-09-00598-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/396f/6379658/b0aeab6c4e29/fgene-09-00598-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/396f/6379658/03577500e7ad/fgene-09-00598-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/396f/6379658/f2261ab09d13/fgene-09-00598-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/396f/6379658/b0aeab6c4e29/fgene-09-00598-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/396f/6379658/03577500e7ad/fgene-09-00598-g0003.jpg

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