Spatiotemporal Protein Atlas of Cell Death-Related Molecules in the Rat MCAO Stroke Model

Jeong Seon Yoon1, Darong Jo2, Hye-Sun Lee1

  • 1Department of Anatomy, Ajou University School of Medicine, Suwon 16499, Korea.

Experimental Neurobiology
|September 6, 2018
PubMed

Insights

This study details brain changes after ischemic stroke in rats, tracking neuron, astrocyte, and microglia responses over time. Understanding these temporal changes is crucial for optimizing stroke treatment timing in future research.

Area of Science:

  • Neuroscience
  • Pathology
  • Pharmacology

Background:

  • Ischemic stroke causes brain damage through complex pathological changes.
  • Therapies for stroke target various molecules and cells across different time windows.
  • Understanding the temporal progression of brain injury is key for effective treatment.

Purpose of the Study:

  • To characterize pathophysiological changes in the brain microenvironment at hyperacute, acute, subacute, and chronic phases following ischemic injury.
  • To provide spatial and temporal data on brain damage progression in a rat stroke model.
  • To inform the timing of therapeutic interventions in preclinical stroke studies.

Main Methods:

  • Ischemic stroke induced in rats via middle cerebral artery occlusion.
  • Magnetic resonance imaging (MRI) validated ischemic injury.
  • Immunohistochemistry used to assess NeuN+ neurons, GFAP+ astrocytes, and Iba1+ microglia.
  • Detection of cell death markers: AIF, FAF1, and activated caspase-3.

Main Results:

  • Detailed immunohistochemical analysis revealed distinct temporal patterns of neuronal, astrocytic, and microglial changes.
  • The study identified the emergence of cell death-related molecules (AIF, FAF1, activated caspase-3) over time.
  • Spatial and temporal mapping of brain microenvironment alterations was established.

Conclusions:

  • The characterized temporal progression of pathophysiological changes provides critical insights into stroke injury.
  • This data supports the investigation of optimal timing for therapeutic treatments in stroke preclinical studies.
  • The findings highlight the importance of considering the time window for stroke interventions.

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