Predictive value of miRNA-126 on in-stent restenosis in patients with coronary heart disease: A protocol for meta-analysis and bioinformatics analysis

Abstract

Background:In-stent restenosis (ISR) is one of the most important complications and impacts the long-term effects after percutaneous coronary intervention (PCI) in patients with coronary heart disease (CHD). Related studies have revealed that microRNA (miRNA) can predict ISR in CHD patients. MiRNA-126 may be a potential biomarker for the diagnosis of ISR. However, the accuracy of miRNA-126 in the diagnosis of ISR is still controversial. Therefore, this study carried out meta-analysis to further evaluate the accuracy of miRNA-126 in the diagnosis of ISR. At the same time, bioinformatics is used to predict the target genes and miRNA-126 may be involved in regulation, so as to provide theoretical support for the precise treatment of CHD.Methods:The literatures on the miRNA-126 diagnosis of ISR in CHD patients were collected by searching on computer through China National Knowledge Infrastructure, Wanfang, China Biology Medicine disc, PubMed, EMBASE, Cochrane Library and Web of Science. The retrieval time is set to build the database until April 2021. The meta-analysis of the literatures that meet the quality standards was conducted by Stata 16.0 software. TargetScan database, PicTar database, miRanda database, and miRDB database were used to predict miRNA-126 intersection target genes. Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) signal pathway enrichment analysis of miRNA-126 target genes were performed by using DAVID database. STRING database was applied to analyze the protein-protein interaction (PPI) network of miRNA-126 target genes. The "Networkanalyzer" function of Cytoscape3.7.2 software is adopted to analyze the network topology attributes, so as to find out the core genes of PPI network.Results:The results of this meta-analysis will be submitted to a peer-reviewed journal for publication.Conclusion:In this study, meta-analysis and bioinformatics analysis were adopted to further evaluate the accuracy of miRNA-126 in the diagnosis of ISR in CHD patients, and to explore the mechanism of the action of miRNA-126 and understand related pathways.Ethics and dissemination:The private information from individuals will not be published. This systematic review also should not damage participants' rights. Ethical approval is not available. The results may be published in a peer-reviewed journal or disseminated in relevant conferences.