Adaptable toolbox to characterize Alzheimer's disease pathology in mouse models

Area of Science:

• Neuroscience
• Pathology
• Biomedical Research

Background:

• Alzheimer's disease (AD) mouse models are crucial for studying disease mechanisms.
• Characterizing molecular and histopathological changes in these models requires robust and reproducible methods.
• Existing protocols may lack adaptability or comprehensive analysis pipelines.

Purpose of the Study:

• To present a highly adaptable toolbox for the comprehensive analysis of Alzheimer's disease (AD) mouse models.
• To streamline and optimize protocols for molecular and histopathological characterization.
• To facilitate reproducible research in AD mouse model studies.

Main Methods:

• Development of optimized sample preparation techniques.
• Streamlined protocols for molecular and histopathological analysis.
• Quantification of soluble amyloid-beta (Aβ) levels using sandwich ELISA in AD mouse brain regions.
• Image analysis using Imaris and ImageJ software.

Main Results:

• A detailed protocol for characterizing molecular and histopathological changes in AD mouse models.
• Optimized methods for soluble Aβ extraction and measurement.
• Established image quantification and analysis procedures for reproducible results.
• A comprehensive toolbox applicable from sample preparation to data analysis.

Conclusions:

• The described toolbox provides a standardized and adaptable approach for AD mouse model research.
• The protocol facilitates reproducible molecular and histopathological analyses.
• This resource aids in advancing the understanding of Alzheimer's disease pathogenesis through mouse models.