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Updated: May 23, 2025

AAV Systems and Mouse Models for Investigating Ectopic Expression of Neurod1 in Transduced Cells at Subacute and Chronic Times Post-Ischemic Stroke
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Temporal Transcriptomic Differences in Stroke Between Diabetic and Non-Diabetic Mice.

Yifei Lv1,2, Xiaomin Dong1, Yujie Xi1

  • 1Department of Pharmacy, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.

Journal of Molecular Neuroscience : MN
|March 7, 2025
PubMed
Summary
This summary is machine-generated.

Diabetes worsens ischemic stroke outcomes, with more genes downregulated in diabetic stroke models. Enhanced immune responses and specific immune cell infiltration characterize diabetic stroke, offering potential therapeutic targets.

Keywords:
Diabetes mellitusInflammatory responseIschemic strokeTime-series analysisTranscriptome

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Area of Science:

  • Neuroscience
  • Genomics
  • Immunology

Background:

  • Diabetes mellitus is a significant risk factor for ischemic stroke.
  • Diabetic stroke patients exhibit poorer long-term recovery outcomes.
  • Genomic research on the interplay between diabetes and stroke is limited.

Purpose of the Study:

  • To investigate the molecular mechanisms of diabetic stroke.
  • To compare gene expression profiles in diabetic versus non-diabetic stroke models.
  • To identify temporal gene expression patterns in diabetic stroke.

Main Methods:

  • Establishment of a diabetic stroke animal model.
  • Transcriptome sequencing for gene expression analysis.
  • Time-series analysis of gene expression data.

Main Results:

  • Diabetic stroke models showed a higher number of downregulated genes compared to non-diabetic models.
  • Functional analysis indicated an enhanced immune response and reduced neurodegeneration in diabetic stroke.
  • Increased infiltration of CD4+ T cells, eosinophils, and M1 macrophages was observed post-stroke in diabetic subjects.

Conclusions:

  • Inflammation and immune responses play a crucial role in exacerbating ischemic stroke in diabetes.
  • Specific gene regulatory networks are identified at different post-stroke stages in diabetic models.
  • Findings suggest potential therapeutic targets for improving outcomes in diabetic stroke patients.