Decoding Alzheimer's genetic risk through intercellular communication in the human brain: Lessons from Clusterin

Area of Science:

• Neuroscience
• Genetics
• Cell Biology

Background:

• Late-onset Alzheimer's disease (AD) genetics involve common, low-penetrance variants, often in noncoding regions and enriched in glial cells.
• These variants complicate linking genetic risk to cellular function, unlike rare early-onset AD mutations.
• Growing evidence implicates glial-enriched risk genes in disrupting essential glial-neuronal communication, impacting synaptic health and immune responses.

Purpose of the Study:

• To review recent progress in understanding the cellular impact of AD risk variants by focusing on glial-neuronal communication.
• To illustrate how human brain studies map cell-type-specific gene expression and intercellular networks related to genetic risk.
• To discuss the use of human stem cell-derived models for testing hypotheses on AD genetic risk.

Main Methods:

• Integration of large-scale postmortem human brain datasets.
• Utilizing human stem cell-derived co-culture and 3D models for experimental testing.
• Case study analysis of the CLU (Clusterin) risk locus.

Main Results:

• Human brain studies have mapped cell-type-specific gene expression and intercellular networks associated with AD genetic risk.
• Human stem cell models are being employed to experimentally validate the functional consequences of AD risk variants.
• The CLU gene exemplifies how risk variants modulate glial inflammation, lipid exchange, and neuronal vulnerability.

Conclusions:

• Decoding the cellular impact of AD polygenic variation requires integrative strategies combining human brain data and cellular models.
• Understanding glial-neuronal communication pathways is crucial for deciphering AD genetic risk.
• This framework facilitates linking genotype to function and identifies new therapeutic targets in intercellular biology.