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Updated: Sep 12, 2025

09:33
Quantitative 3D In Silico Modeling q3DISM of Cerebral Amyloid-beta Phagocytosis in Rodent Models of Alzheimer's Disease
Published on: December 26, 2016
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CD33 and clusterin interact biophysically and genetically to modulate Alzheimer risk
Biorxiv : the Preprint Server for Biology
|August 6, 2025
Summary
Non-coding variants in CD33 alter Alzheimer's disease (AD) risk by affecting microglial function. Upregulated CD33 interacts with AD proteins, inhibiting amyloid plaque removal and increasing AD risk.
Area of Science:
- Neuroscience
- Genetics
- Immunology
Background:
- Alzheimer's disease (AD) is a neurodegenerative disorder with complex genetic underpinnings.
- The CD33 gene, encoding a sialic acid-binding receptor, has been implicated in AD risk.
- Microglia play a crucial role in brain homeostasis and AD pathogenesis, including amyloid-beta (Aβ) plaque clearance.
Purpose of the Study:
- To investigate the structural, functional, and genetic mechanisms by which CD33 influences Alzheimer's disease risk.
- To elucidate the role of CD33 isoforms and their interactions with AD-related proteins in disease pathogenesis.
- To explore the potential of genetic variations in CD33 and CLU for personalized AD therapeutics.
Main Methods:
- Structural and functional studies of the CD33 receptor.
- Genetic analyses, including human brain expression quantitative trait loci (eQTL) and causal mediation analyses.
- Investigation of CD33 interactions with AD-related proteins like clusterin and Aβ.
Main Results:
- Non-coding AD-risk alleles upregulate the full-length CD33 M isoform, which forms dimers and interacts with clusterin and Aβ.
- CD33 M dimerization inhibits microglial phagocytosis of amyloid plaques, impairing a protective function.
- Genetic interactions between CLU and CD33 genotypes modulate AD phenotypes, suggesting personalized therapeutic strategies.
Conclusions:
- CD33 M plays a critical role in AD pathogenesis by suppressing microglial clearance of amyloid plaques.
- Genetic variations in CD33 and CLU offer potential biomarkers for AD risk stratification and personalized treatment approaches.
- Novel soluble CD33 M fragments were identified, indicating new avenues for understanding CD33 biology.
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