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ABSTRACT: 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 thre
SUBMITTER: Xie Q
PROVIDER: S-EPMC7106706 | biostudies-literature | 2020 Mar
REPOSITORIES: biostudies-literature