Identification of novel biomarkers in ischemic stroke: a genome-wide integrated analysis

• Published in: BMC medical genetics 2020-03, Vol.21 (1), p.66-66, Article 66
• Main Authors: Xie, Qizhi, Zhang, Xiaoyun, Peng, Sijia, Sun, Jingjing, Chen, Xiao, Deng, Yuanfei, Yi, Li
• Format: Article
• Language: English
• Subjects: Atypical infection; Bioinformatics; Biological markers; Biomarkers; Biomarkers - analysis; Brain; Brain Ischemia - diagnosis; Brain Ischemia - epidemiology; Brain Ischemia - genetics; Cardiovascular disease; Computational Biology - methods; Coronary artery; Coronary heart disease; Datasets; Datasets as Topic - statistics & numerical data; Diabetes; DNA methylation; Gene expression; Gene Expression Profiling; Gene Regulatory Networks; Genes; Genetic Association Studies - statistics & numerical data; Genomes; Genomics; Health aspects; Heart diseases; Humans; Ischemia; Ischemic stroke; MicroRNA; MicroRNAs - genetics; miRNA; Molecular modelling; Mutation; Pathogenesis; Peripheral blood; Precision medicine; Protein interaction; Protein-protein interactions; Proteins; Quality control; RNA, Messenger - genetics; Stroke; Stroke - diagnosis; Stroke - epidemiology; Stroke - genetics; Systemic lupus erythematosus
• ISSN: 1471-2350; 1471-2350
• DOI: 10.1186/s12881-020-00994-3

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. 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. 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. 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.