Drosophila models of Alzheimer's disease: advances, limits, and perspectives

Sylvina Bouleau1, Hervé Tricoire1

  • 1Unité de Biologie Fonctionnelle et Adaptative (BFA), UMR8251 CNRS-Univ Paris Diderot, Sorbonne Paris Cité, Paris, France.

Insights

Fruit fly models offer valuable insights into Alzheimer's disease (AD) by studying amyloid-β protein precursor (AβPP) and tau (MAPT) functions. Despite limitations, advances in fly genetics enhance AD research and drug discovery.

Area of Science:

  • Neuroscience
  • Genetics
  • Aging Research

Background:

  • Alzheimer's disease (AD) is characterized by amyloid plaques and neurofibrillary tangles.
  • Amyloid-β protein precursor (AβPP) and microtubule-associated protein tau (MAPT) are central to AD pathogenesis.
  • Drosophila melanogaster serves as a powerful model organism for studying complex diseases like AD.

Purpose of the Study:

  • To review recent advancements in modeling Alzheimer's disease using Drosophila.
  • To highlight the utility and limitations of fly models in AD research.
  • To explore the role of fly homologs of AβPP and MAPT in disease modeling.

Main Methods:

  • Genetic studies in Drosophila to analyze Appl and Tau gene functions.
  • Utilizing Drosophila models for uncovering pathological pathways and susceptibility genes.
  • Implementing fly-based platforms for drug screening in AD research.

Main Results:

  • Drosophila models have elucidated key functions of Appl and Tau, the fly homologs of AβPP and MAPT.
  • Fly models have successfully identified and validated several AD-related pathological pathways and genes.
  • Drosophila screens have proven effective for identifying potential therapeutic compounds for AD.

Conclusions:

  • Drosophila models provide significant advantages for AD research due to genetic tractability and cost-effectiveness.
  • Limitations exist, including structural differences in fly Appl and Tau and missing protein interactors.
  • Emerging genome editing technologies promise more accurate fly models for understanding AD and aging.

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