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Published on: July 27, 2016
Role of microRNA in the risk stratification of ischemic strokes
Hosam M Al-Jehani1,2,3,4, Ahmed Hafez Mousa4,5,6,7, May Adel Alhamid8
1Department of Neurosurgery and Interventional Neuroradiology and Critical Care Medicine, Imam Abdulrahman Bin Faisal University, Al Khobar, Saudi Arabia.
Background:
Ischemic stroke is a major cause of death and morbidity, and risk classification is essential for predicting therapeutic outcomes. MicroRNAs may be useful indicators for risk stratification, as they control gene expression and influence physiological and pathological processes.
Methodology:
A systematic strategy was developed to search relevant material using databases like PubMed, Scopus, and Web of Science. Selection criteria included human research, a certain date, or categories of studies. Data extraction, synthesis, and analysis were carried out to find trends, similarities, and differences among the chosen studies. The study's design, sample size, methodology, statistical analysis, and any potential biases or restrictions from the selected reference papers were also taken into account.
Results And Findings:
MicroRNA is an important biomarker for risk stratification in Ischemic Strokes. It can be used to identify Stroke-Specific microRNA Signatures, identify diagnostic and prognostic values, and regulate Vascular Inflammation, Endothelial Dysfunction, and Thrombus Formation and Resolution. It also has potential therapeutic applications.
Conclusion:
MicroRNAs have emerged as promising biomarkers for predicting stroke risk, severity of strokes, and clinical outcomes. They can be used to predict the severity of a stroke and aid clinicians in making treatment decisions.
Insights
MicroRNAs show promise as biomarkers for ischemic stroke risk stratification. These small molecules can help predict stroke severity and guide clinical treatment decisions for better patient outcomes.
Area of Science:
- Biomarkers and Diagnostics
- Molecular Biology
- Neurology
Background:
- Ischemic stroke is a leading cause of death and disability.
- Accurate risk classification is crucial for predicting treatment effectiveness.
- MicroRNAs regulate gene expression and impact physiological and pathological processes.
Purpose of the Study:
- To explore the role of microRNAs in risk stratification for ischemic stroke.
- To identify microRNA signatures for diagnostic and prognostic value.
- To investigate the therapeutic potential of microRNAs in stroke management.
Main Methods:
- Systematic literature search across PubMed, Scopus, and Web of Science.
- Inclusion criteria focused on human research and specific study types.
- Data extraction, synthesis, and analysis of study design, methodology, and potential biases.
Main Results:
- MicroRNAs serve as key biomarkers for ischemic stroke risk stratification.
- Identified stroke-specific microRNA signatures with diagnostic and prognostic potential.
- MicroRNAs influence vascular inflammation, endothelial dysfunction, and thrombus resolution.
Conclusions:
- MicroRNAs are emerging as valuable biomarkers for predicting stroke risk and severity.
- MicroRNA profiles can aid clinicians in making informed treatment decisions.
- MicroRNAs hold potential for therapeutic interventions in ischemic stroke.
