MicroRNAs as Diagnostic and Prognostic Biomarkers in Ischemic Stroke-A Comprehensive Review and Bioinformatic Analysis

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Arquivos
art_EYILETEN_MicroRNAs_as_Diagnostic_and_Prognostic_Biomarkers_in_Ischemic_2018.PDF (2.58 MB)
Citações na Scopus
121
Tipo de produção
article
Data de publicação
2018
DOI
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Editora
MDPI
Autores
EYILETEN, Ceren
ROSA, Salvatore De
MIROWSKA-GUZEL, Dagmara
SOPLINSKA, Aleksandra
INDOLFI, Ciro
JASTRZEBSKA-KURKOWSKA, Iwona
CZLONKOWSKA, Anna
POSTULA, Marek
Citação
CELLS, v.7, n.12, article ID 249, 34p, 2018
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Stroke 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.
Palavras-chave
miRNA, bioinformatic analysis, ischemic stroke, miRNA-gene target interaction, network, biomarker, diagnosis, prognosis
URI
https://observatorio.fm.usp.br/handle/OPI/30914
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Coleções
Artigos e Materiais de Revistas Científicas - FM/Outros
Artigos e Materiais de Revistas Científicas - ODS/03