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Published on: February 26, 2014
Brain metabolic and behavioral alterations in a Down syndrome model
Larissa Estessi de Souza1, Chiara Maria Righini2, Dimitri Brigide de Almeida Mantovani2
1Laboratory of Nuclear Medicine (LIM 43), Department of Radiology and Oncology, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil; Department of Nuclear Medicine, Hospital Israelita Albert Einstein, São Paulo, Brazil.
This study monitored the Down Syndrome Ts65Dn mouse model throughout its lifespan. Trisomic mice showed early brain network disruption, linked to neuroinflammation and aging-related functional impairments.
Area of Science:
- Neuroscience
- Genetics
- Medical Imaging
Background:
- Down syndrome is associated with cognitive deficits and increased risk of neurodegeneration.
- The Ts65Dn mouse is a widely used model for Down syndrome, exhibiting some trisomic features.
- Longitudinal studies are crucial for understanding age-dependent changes in disease models.
Purpose of the Study:
- To longitudinally monitor the Ts65Dn mouse model of Down syndrome across its lifespan.
- To detect time-dependent in vivo molecular alterations related to neurodegeneration and neuroinflammation.
- To correlate neuroimaging findings with behavioral and post-mortem analyses.
Main Methods:
- Longitudinal [18F]FDG PET imaging and behavioral tasks in euploid and Ts65Dn mice at 2, 5, 14, 20, and 24 months.
- Analysis of brain metabolism using VOI-based SUV, voxel-wise, and metabolic network approaches.
- Post-mortem brain analysis for neuronal loss (NeuN) and microglia activation (Iba-1).
Main Results:
- Brain metabolism increased at 14 months in both genotypes.
- [18F]FDG uptake correlated with microglia activation, indicating neuroinflammation.
- Older trisomic mice showed greater metabolic network desynchronization and impaired memory recognition at 24 months.
Conclusions:
- This is the first lifelong [18F]FDG PET study of the Ts65Dn mouse model.
- Trisomic mice exhibit early disruption in brain network organization.
- These disruptions likely contribute to aging, neurodegeneration, and neuroinflammation-related functional impairments.
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