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- Title
Bioinformatics method combined with logistic regression analysis reveal potentially important miRNAs in ischemic stroke.
- Authors
Zhiqiang Wei; Xingdi Qi; Yan Chen; Xiaoshuang Xia; Boyu Zheng; Xugang Sun; Guangming Zhang; Ling Wang; Qi Zhang; Chen Xu; Shihe Jiang; Xiulian Li; Bingxin Xie; Xiaohui Liao; Ai Zhu
- Abstract
Purpose: The present study aimed to investigate the comprehensive differential expression profile of microRNAs (miRNAs) by screening for miRNA expression in ischemic stroke and normal samples. Methods: Differentially expressed miRNA (DEM) analysis was conducted using limma R Bioconductor package. Target genes of DEMs were identified from TargetScanHuman and miRTarBase databases. Functional enrichment analysis of the target genes was performed using clusterProfiler R Bioconductor package. The miRNA-based ischemic stroke diagnostic signature was constructed via logistic regression analysis. Results: Compared with the normal cohort, a total of 14 DEMs, including 5 up-regulated miRNAs and 9 down-regulated miRNAs, were identified in ischemic stroke patients. These DEMs have 1600 regulatory targets. Using a logistic regression model, the top five miRNAs were screened for constructing an miRNA-based ischemic stroke diagnostic signature. Using the miRNA–mRNA interaction pairs, two target genes (specificity protein 1 (SP1) and Argonaute 1 (AGO1)) were speculated to be the primary genes of ischemic stroke. Discussion and conclusion: Here, several potential miRNAs biomarkers were identified and an miRNA-based diagnostic signature for ischemic stroke was established, which can be a valuable reference for future clinical researches.
- Subjects
MICRORNA; STROKE; STROKE patients; BIOINFORMATICS; FUNCTIONAL analysis
- Publication
Bioscience Reports, 2020, Vol 40, Issue 8, p1
- ISSN
0144-8463
- Publication type
Article
- DOI
10.1042/BSR20201154