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Characterization of Amyloid Structures in Aging C. Elegans Using Fluorescence Lifetime Imaging
Published on: March 27, 2020
Microglial translational profiling reveals a convergent APOE pathway from aging, amyloid, and tau
Silvia S Kang1, Mark T W Ebbert2, Kelsey E Baker2
1Department of Neuroscience, Mayo Clinic, Jacksonville, FL kang.silvia@mayo.edu.
Abstract:
Alzheimer's disease (AD) is an age-associated neurodegenerative disease characterized by amyloidosis, tauopathy, and activation of microglia, the brain resident innate immune cells. We show that a RiboTag translational profiling approach can bypass biases due to cellular enrichment/cell sorting. Using this approach in models of amyloidosis, tauopathy, and aging, we revealed a common set of alterations and identified a central APOE-driven network that converged on CCL3 and CCL4 across all conditions. Notably, aged females demonstrated a significant exacerbation of many of these shared transcripts in this APOE network, revealing a potential mechanism for increased AD susceptibility in females. This study has broad implications for microglial transcriptomic approaches and provides new insights into microglial pathways associated with different pathological aspects of aging and AD.
Insights
This study reveals a common APOE-driven network in microglia altered by Alzheimer's disease (AD) and aging. Aged females show exacerbated changes, suggesting a mechanism for increased AD susceptibility.
Area of Science:
- Neuroscience
- Immunology
- Genetics
Background:
- Alzheimer's disease (AD) is linked to aging, amyloidosis, tauopathy, and microglial activation.
- Microglia are key innate immune cells in the brain, and their transcriptomic changes are crucial in AD pathogenesis.
- Existing methods for studying microglia can introduce biases.
Purpose of the Study:
- To identify common microglial transcriptomic alterations in models of AD and aging.
- To uncover networks driving these changes, particularly those involving APOE.
- To investigate sex-specific differences in microglial responses relevant to AD susceptibility.
Main Methods:
- Utilized RiboTag translational profiling to analyze microglial gene expression without cell sorting biases.
- Applied this method to mouse models of amyloidosis, tauopathy, and aging.
- Integrated data to identify conserved and condition-specific transcriptomic changes.
Main Results:
- Identified a shared set of microglial transcriptomic alterations across amyloidosis, tauopathy, and aging models.
- Discovered a central APOE-driven network converging on CCL3 and CCL4.
- Observed significant exacerbation of APOE network transcripts in aged female mice, indicating higher AD susceptibility.
Conclusions:
- RiboTag profiling offers an unbiased approach for studying microglial transcriptomics.
- A common APOE-driven network is implicated in AD and aging.
- Exacerbated microglial responses in aged females may explain their increased AD risk.
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