3-Dimensional morphological characterization of neuroretinal microglia in Alzheimer's disease via machine learning

Wissam B Nassrallah1,2, Hao Ran Li1,2, Lyden Irani2

  • 1Faculty of Medicine, The University of British Columbia, Vancouver, BC, Canada.

PubMed

Insights

Alzheimer's disease retinas show fewer but larger microglia, with increased CD68 expression, indicating altered immune cell activity potentially linked to amyloid-beta accumulation.

Area of Science:

  • Neuroscience
  • Ophthalmology
  • Immunology

Background:

  • Alzheimer's disease (AD) affects millions globally, characterized by amyloid-beta (Aβ) plaques and tau tangles.
  • Early AD detection is crucial, as Aβ accumulates years before clinical symptoms.
  • Increased Aβ deposition occurs in the retinas of AD patients, but microglial function there is poorly understood.

Purpose of the Study:

  • To investigate the role and characteristics of retinal microglia in Alzheimer's disease.
  • To compare microglial number, size, and activity markers (CD68) in AD and control retinas.

Main Methods:

  • Donor retinas from AD and age-matched control individuals were analyzed.
  • Microglia were labeled with ionised calcium-binding adaptor molecule 1 (IBA-1).
  • Interactive machine learning was used for 3D segmentation of microglia; CD68 staining assessed phagocytic activity.

Main Results:

  • AD retinas had significantly fewer microglia but larger overall microglial size compared to controls.
  • CD68-positive microglia were larger in AD retinas, suggesting altered activation states.
  • Increased CD68 immunoreactivity was observed in individual microglia within the AD group.

Conclusions:

  • Retinal microglia exhibit unique size and activity differences in Alzheimer's disease.
  • These changes may reflect chronic microglial activation in response to elevated Aβ levels in the AD retina.
  • Further research into retinal microglia could offer insights into AD pathogenesis and early detection.

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