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

被引:150
作者
Eyileten, Ceren [1 ]
Wicik, Zofia [2 ]
De Rosa, Salvatore [3 ]
Mirowska-Guzel, Dagmara [1 ]
Soplinska, Aleksandra [1 ]
Indolfi, Ciro [3 ,4 ]
Jastrzebska-Kurkowska, Iwona [5 ]
Czlonkowska, Anna [5 ]
Postula, Marek [1 ]
机构
[1] Med Univ Warsaw, Dept Expt & Clin Pharmacol, Ctr Preclin Res & Technol CEPT, PL-02097 Warsaw, Poland
[2] Univ Sao Paulo, Div Rheumatol, Hosp Clin HCFMUSP, BR-01246903 Sao Paulo, SP, Brazil
[3] Magna Graecia Univ Catanzaro, Dept Med & Surg Sci, Div Cardiol, I-88100 Catanzaro, Italy
[4] Consiglio Nazl Ric IFC, URT CNR, Dept Med, Viale Europa S-N, I-88100 Catanzaro, Italy
[5] Inst Psychiat & Neurol, Dept Neurol 2, PL-02957 Warsaw, Poland
关键词
miRNA; bioinformatic analysis; ischemic stroke; miRNA-gene target interaction; network; biomarker; diagnosis; prognosis; C-REACTIVE PROTEIN; TRANSCORONARY CONCENTRATION GRADIENTS; TISSUE FACTOR EXPRESSION; CIRCULATING MICRORNAS; POTENTIAL BIOMARKERS; SMOOTH-MUSCLE; LABEL-FREE; SERUM; IDENTIFICATION; DISEASE;
D O I
10.3390/cells7120249
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
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.
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