Sistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSPEYILETEN, CerenWICIK, ZofiaROSA, Salvatore DeMIROWSKA-GUZEL, DagmaraSOPLINSKA, AleksandraINDOLFI, CiroJASTRZEBSKA-KURKOWSKA, IwonaCZLONKOWSKA, AnnaPOSTULA, Marek2019-02-212019-02-212018CELLS, v.7, n.12, article ID 249, 34p, 20182073-4409https://observatorio.fm.usp.br/handle/OPI/30914Stroke is the second-most common cause of death worldwide. The pathophysiology of ischemic stroke (IS) is related to inflammation, atherosclerosis, blood coagulation, and platelet activation. MicroRNAs (miRNAs) play important roles in physiological and pathological processes of neurodegenerative diseases and progression of certain neurological diseases, such as IS. Several different miRNAs, and their target genes, are recognized to be involved in the pathophysiology of IS. The capacity of miRNAs to simultaneously regulate several target genes underlies their unique value as diagnostic and prognostic markers in IS. In this review, we focus on the role of miRNAs as diagnostic and prognostic biomarkers in IS. We discuss the most common and reliable detection methods available and promising tests currently under development. We also present original results from bioinformatic analyses of published results, identifying the ten most significant genes (HMGB1, YWHAZ, PIK3R1, STAT3, MAPK1, CBX5, CAPZB, THBS1, TNFRSF10B, RCOR1) associated with inflammation, blood coagulation, and platelet activation and targeted by miRNAs in IS. Additionally, we created miRNA-gene target interaction networks based on Gene Ontology (GO) information derived from publicly available databases. Among our most interesting findings, miR-19a-3p is the most widely modulated miRNA across all selected ontologies and might be proposed as novel biomarker in IS to be tested in future studies.engopenAccessmiRNAbioinformatic analysisischemic strokemiRNA-gene target interactionnetworkbiomarkerdiagnosisprognosisc-reactive proteintranscoronary concentration gradientstissue factor expressioncirculating micrornaspotential biomarkerssmooth-musclelabel-freeserumdiseaseidentificationarticleCopyright MDPI10.3390/cells7120249Cell Biology