FSTL1-knockdown improves neural oscillation via decreasing neuronal-inflammation regulating apoptosis in Aβ1-42

Ekta Kumari1, Aoxi Xu2, Runwen Chen1

  • 1College of Life Sciences and Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, 300071 Tianjin, PR China.

Experimental Neurology
|September 26, 2022
PubMed

Insights

Follistatin like protein 1 (FSTL1) knockdown improved cognitive function in Alzheimer

Area of Science:

  • Neuroscience
  • Molecular Biology
  • Genetics

Background:

  • Follistatin like protein 1 (FSTL1) is a growth regulatory protein implicated in various diseases.
  • FSTL1's role in central nervous system development suggests a potential link to neurological disorders.
  • Upregulated FSTL1 expression was observed in Alzheimer's disease (AD) mouse models.

Purpose of the Study:

  • To investigate the function and role of FSTL1 in Alzheimer's disease.
  • To determine if FSTL1 knockdown can ameliorate AD-like pathology and cognitive deficits.

Main Methods:

  • Alzheimer's disease model mice were generated using intracerebroventricular injections of amyloid-beta (Aβ) peptides.
  • FSTL1 knockdown was performed in AD model mice (FSTL1+/-) and compared to control (CON) mice.
  • Cognitive function, neural oscillations, synaptic plasticity, microglial activation, and apoptosis pathways were assessed.

Main Results:

  • FSTL1 knockdown significantly improved cognitive functions in Aβ-induced AD model mice.
  • Knockdown enhanced neural oscillations and synaptic plasticity while inhibiting microglial activation and inflammatory responses.
  • FSTL1 knockdown modulated the apoptosis pathway (caspase/BAX/Bcl-2/TLR-4) and reduced amyloid-beta burden.

Conclusions:

  • Down-regulation of FSTL1 demonstrates clinical significance in mitigating Alzheimer's disease progression.
  • FSTL1 knockdown reduces amyloid-beta, neuroinflammation, and apoptosis in an AD-like mouse model.
  • Reduced FSTL1 improves synaptic plasticity, neural oscillations, and cognitive behaviors in AD models.

Related Concept Videos