当前位置: X-MOL 学术BMC Med. Genet. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Identification of novel biomarkers in ischemic stroke: a genome-wide integrated analysis.
BMC Medical Genetics Pub Date : 2020-03-30 , DOI: 10.1186/s12881-020-00994-3
Qizhi Xie 1, 2 , Xiaoyun Zhang 1, 2 , Sijia Peng 1 , Jingjing Sun 1 , Xiao Chen 1, 2 , Yuanfei Deng 1, 3 , Li Yi 1
Affiliation  

BACKGROUND Ischemic Stroke (IS) is the most common neurological emergency disease and has become the second most frequent cause of death after coronary artery disease in 2015. Owing to its high fatality rate and narrow therapeutic time window, early identification and prevention of potential stroke is becoming increasingly important. METHODS We used meta-analysis and bioinformatics mining to explore disease-related pathways and regulatory networks after combining messengerRNA (mRNA) and miRNA expression analyses. The purpose of our study was to screen for candidate target genes and microRNA(miRNA) for early diagnosis of potential stroke. RESULTS Five datasets were collected from the Gene Expression Omnibus (GEO) database by systematical retrieval, which contained three mRNA datasets (102 peripheral blood samples in total) and two miRNA dataset (59 peripheral blood samples). Approximately 221 different expression(DE) mRNAs (155 upregulated and 66 downregulated mRNAs) and 185 DE miRNAs were obtained using the metaDE package and GEO2R tools. Further functional enrichments of DE-mRNA, DE-miRNA and protein-protein interaction (PPI) were performed and visualized using Cytoscape. CONCLUSION Our study identified six core mRNAs and two regulated miRNAs in the pathogenesis of stroke, and we elaborated the intrinsic role of systemic lupus erythematosus (SLE) and atypical infections in stroke, which may aid in the development of precision medicine for treating ischemic stroke. However, the role of these novel biomarkers and the underlying molecular mechanisms in IS require further fundamental experiments and further clinical evidence.

中文翻译:

缺血性中风中新型生物标志物的鉴定:全基因组整合分析。

背景技术缺血性中风(IS)是最常见的神经系统急症,在2015年已成为仅次于冠状动脉疾病的第二大死亡原因。由于其高致死率和狭窄的治疗时间范围,早期识别和预防潜在的中风非常重要。变得越来越重要。方法在结合了messengerRNA(mRNA)和miRNA表达分析之后,我们使用荟萃分析和生物信息学挖掘来探索疾病相关的途径和调控网络。我们研究的目的是筛选候选靶基因和microRNA(miRNA),以早期诊断潜在的中风。结果通过系统检索,从“基因表达综合”(GEO)数据库中收集了五个数据集,其中包含三个mRNA数据集(总共102个外周血样本)和两个miRNA数据集(59个外周血样本)。使用metaDE软件包和GEO2R工具获得了大约221种不同的表达(DE)mRNA(155种上调的mRNA和66种下调的mRNA)和185种DE miRNA。使用Cytoscape对DE-mRNA,DE-miRNA和蛋白质-蛋白质相互作用(PPI)进行进一步的功能富集并可视化。结论我们的研究确定了中风发病中的六个核心mRNA和两个受调控的miRNA,并阐述了系统性红斑狼疮(SLE)和非典型感染在中风中的内在作用,这可能有助于开发治疗缺血性中风的精密药物。然而,
更新日期:2020-04-22
down
wechat
bug