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Related Concept Videos

Ischemic Stroke ll: Pathophysiology01:15

Ischemic Stroke ll: Pathophysiology

An ischemic stroke occurs when a cerebral blood vessel becomes obstructed, most often by a thrombus or embolus, interrupting the delivery of oxygen and glucose to brain tissue. Because neurons rely on continuous aerobic metabolism, energy failure begins within minutes of reduced perfusion. The region receiving the least blood flow becomes the infarct core, an area of irreversible cellular death. Surrounding this core lies the penumbra, a zone of hypoperfused but still viable tissue that is...

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Related Experiment Video

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Author Spotlight: Establishing a Reliable Distal MCA Occlusion Model in Mice for Stroke Research
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Study on potential differentially expressed genes in stroke by bioinformatics analysis.

Xitong Yang1, Pengyu Wang1, Shanquan Yan1

  • 1Genetic Testing Center, The First Affiliated Hospital of Dali University, Dali, 671000, Yunnan, China.

Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
|July 27, 2021
PubMed
Summary

This study uses bioinformatics to identify key genes and microRNAs involved in ischemic stroke pathogenesis. Findings offer potential biomarkers and novel therapeutic strategies for stroke treatment.

Keywords:
Bioinformatics analysisDifferentially expressed genesMicroRNAsStroke

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Area of Science:

  • Genomics and Bioinformatics
  • Molecular Biology
  • Translational Medicine

Background:

  • Stroke, a leading cause of disability, has unclear pathogenesis and limited treatment options.
  • Identifying key genes and molecular pathways is crucial for developing effective stroke therapies.

Purpose of the Study:

  • To elucidate the pathogenesis of ischemic stroke using bioinformatics.
  • To identify key genes and microRNAs (miRNAs) associated with stroke for potential therapeutic targets.

Main Methods:

  • Differential gene expression analysis of ischemic stroke (IS) versus normal control groups using GEO datasets (GSE58294, GSE16561).
  • Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses.
  • Construction of protein-protein interaction (PPI) networks and identification of hub genes and targeted miRNAs.

Main Results:

  • Identified 85 differentially expressed genes (DEGs) in IS, including 65 upregulated and 20 downregulated.
  • Enriched pathways included cytokine-cytokine receptor interaction, hematopoietic cell lineage, and B cell receptor signaling.
  • Selected 10 hub genes (e.g., CEACAM8, MMP9) and predicted 5 key miRNAs (e.g., hsa-mir-146a-5p).

Conclusions:

  • Bioinformatics analysis successfully identified key genes and miRNAs implicated in ischemic stroke.
  • These findings provide potential biomarkers and novel therapeutic targets for stroke treatment.
  • The study offers a new strategy for clinical therapy of ischemic stroke.