Abstract
BackgroundIschemic 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.MethodsWe 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.ResultsFive 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.ConclusionOur 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.
Highlights
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
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
Coanfluence analysis of ischemic stroke gene expression datasets Three primary datasets with available mRNA expression data for PBL samples in stroke patients were identified by searching the Gene Expression Omnibus (GEO) database (GSE66724, GSE58294, GSE22255)
Summary
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. It is widely believed that stroke is a complex multifactorial disease that is caused by interactions among blood vessels and environmental and genetic factors. Certain molecular genetic variations have been shown to be closely related to ischemic stroke, such as Paired-like homeodomain transcription factor 2 (PITX2), Histone deacetylase 9 (HDAC9), and Zinc finger homeobox protein 3 (ZFHX3) [5]. Most of these gene mutations may exist as susceptibility genes, cooperating with other risk factors to cause the disease
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