Trem2R47H and reduced TREM2 expression both mimic human Alzheimer's disease signatures in mice

Tamar R Abel1, Ravi S Pandey2, Annat Haber2

  • 1The Jackson Laboratory, Bar Harbor, Maine, USA.

Abstract

Insights

Two mouse models of TREM2 variants, R47H (Trem2*R47H) and humanized splice site (Trem2*R47HHSS), offer complementary insights into late-onset Alzheimer's disease (LOAD) molecular pathology.

Area of Science:

  • Neuroscience
  • Genetics
  • Molecular Biology

Background:

  • Loss-of-function variants in the *TREM2* gene are linked to late-onset Alzheimer's disease (LOAD).
  • Assessing the R47H missense variant and its impact on TREM2 expression is crucial for understanding LOAD.
  • Developing accurate preclinical models is essential for studying TREM2's role in Alzheimer's.

Purpose of the Study:

  • To molecularly characterize two mouse models of *TREM2* variants associated with LOAD.
  • To compare the molecular signatures of these models with human LOAD brain expression data.
  • To evaluate the utility of these models for investigating LOAD pathogenesis.

Main Methods:

  • Humanization of the aberrant splice acceptor site in the Trem2*R47H mouse model to create the Trem2*R47HHSS model.
  • RNA sequencing of mouse brain tissue to analyze gene expression signatures.
  • Comparison of mouse expression signatures with human postmortem brain expression data from LOAD cohorts.

Main Results:

  • Trem2*R47H mice exhibited alternative splicing, reducing *Trem2* expression, while Trem2*R47HHSS mice showed wild-type *Trem2* transcript and protein levels.
  • Both models displayed LOAD-associated signatures and impacted immune response, synapse, and vasculature biodomains.
  • The Trem2*R47H model additionally influenced extracellular matrix and myelination signatures.

Conclusions:

  • Trem2*R47H and Trem2*R47HHSS mice serve as valuable and complementary models for LOAD research.
  • These models facilitate the study of the molecular mechanisms underlying LOAD pathology.
  • Further investigation using these models can elucidate TREM2's contribution to Alzheimer's disease.

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