The localization of molecularly distinct microglia populations to Alzheimer's disease pathologies using QUIVER

Ryan K Shahidehpour1,2, Abraham S Nelson1, Lydia G Sanders1

  • 1Spinal Cord and Brain Injury Research Center, University of Kentucky, 741 S. Limestone St., Lexington, KY, 40536, USA.

Insights

A new method called QUIVER enables detailed protein analysis in aging human brain tissue, revealing how microglia respond to Alzheimer's disease pathology. This technique helps understand brain aging and disease.

Area of Science:

  • Neuroscience
  • Pathology
  • Biotechnology

Background:

  • Spatial proteomics advances tumor microenvironment studies but is underutilized in aging human brain research.
  • Post-mortem brain tissue presents challenges like autofluorescence, limiting traditional fluorescence microscopy.
  • Developing novel histological techniques is crucial for understanding protein distribution and disease pathology in human tissues.

Purpose of the Study:

  • To develop a multiplex immunohistochemistry approach for analyzing protein distribution in aging human brain tissue.
  • To address technical challenges in post-mortem brain tissue analysis, including fixation and autofluorescence.
  • To investigate the impact of Alzheimer's disease hallmarks (amyloid plaques, neurofibrillary tangles) on microglia phenotypes.

Main Methods:

  • Developed Quantitative multiplex Immunohistochemistry with Visual colorimetric staining to Enhance Regional protein localization (QUIVER).
  • Generated ten-channel pseudo-fluorescent images using chromogen removal and digital microscopy.
  • Utilized digital pathology tools to visualize and analyze five molecular microglia/macrophage phenotypes in relation to neuropathology.

Main Results:

  • QUIVER successfully identified unique molecular microglia phenotypes in human brain tissue.
  • Demonstrated spatial polarization of reactive microglia towards amyloid plaques and homeostatic microglia away from them.
  • Observed a discrepancy between microglia morphology and molecular phenotype in the context of Alzheimer's disease pathology.

Conclusions:

  • QUIVER is a novel tool for examining pathological alterations in the aging human brain.
  • Provides insights into microglia biology and their dynamic response to Alzheimer's disease-associated pathologies.
  • Highlights the importance of molecular phenotyping over morphology for understanding microglia in disease states.

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