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Updated: May 27, 2026

Modeling Age-Associated Neurodegenerative Diseases in Caenorhabditis elegans
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Published on: August 15, 2020

Modeling the dementia epidemic.

T A Treves1, A D Korczyn

  • 1Memory Disorders Clinic, Rabin Medical Center, Petach Tikva, Israel.

CNS Neuroscience & Therapeutics
|November 11, 2011
PubMed
Summary
This summary is machine-generated.

Dementia risk factors and protective strategies are age-dependent. Early and midlife interventions, alongside later-life health maintenance, can significantly impact dementia incidence and cognitive decline.

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Fabrication of Amyloid-β-Secreting Alginate Microbeads for Use in Modelling Alzheimer's Disease
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Published on: July 6, 2019

Area of Science:

  • Gerontology
  • Epidemiology
  • Neuroscience

Background:

  • Dementia incidence rises sharply with age, with potential shifts in pathology in extreme old age.
  • Prevalence is influenced by age interacting with modifiable factors like comorbidities, genetics, and environment.
  • Postponing dementia onset by managing risk factors could substantially reduce its overall incidence.

Purpose of the Study:

  • To review epidemiological data on factors influencing dementia prevalence.
  • To predict future trends in dementia.
  • To identify potential interventions to modify dementia outcomes.

Main Methods:

  • Analysis of epidemiological data on dementia risk and protective factors.
  • Consideration of critical time periods for factor impact (e.g., early-life education, midlife diabetes).
  • Evaluation of modifying factors across diverse clinical groups, accounting for genetics, age, and exposure duration.

Main Results:

  • Education and diabetes mellitus have impacts in early and midlife, respectively.
  • Maintaining physical/mental activity and managing vascular factors in later life may slow cognitive decline.
  • Intervention effectiveness varies by clinical group, genetic background, age, and exposure duration.

Conclusions:

  • Modulating risk factors at different life stages is crucial for dementia prevention.
  • Personalized interventions considering individual characteristics are necessary.
  • Future research should focus on optimizing timing and targeting of interventions for maximum impact.