Multi-scale modeling for systematically understanding the key roles of microglia in AD development

Area of Science:

• Neuroscience
• Computational Biology
• Immunology

Background:

• Alzheimer's disease (AD) is a leading cause of dementia, with limited effective treatments.
• Microglia-mediated neuroinflammation is implicated in AD pathogenesis and therapy failure.
• The precise role and activation states of microglia in AD progression remain unclear.

Purpose of the Study:

• To systematically investigate the role of microglia in Alzheimer's disease (AD) progression.
• To predict optimal therapeutic strategies for AD using computational modeling.
• To elucidate the mechanisms underlying microglia-mediated neuroinflammation in AD.

Main Methods:

• Development of a 3D multi-scale model of Alzheimer's disease (MSMAD) integrating multi-level experimental data.
• In silico simulation of neurodegeneration to analyze AD progression.
• Analysis of TREM2-related signal transduction pathways and microglia phenotype activation.

Main Results:

• The MSMAD model revealed how TREM2 signaling disrupts microglia phenotype balance, exacerbating AD development.
• Identified specific microglia activation profiles and phenotypic changes during AD progression.
• The model predicted an optimal therapeutic strategy to improve AD treatment outcomes.

Conclusions:

• Microglia play a critical, complex role in Alzheimer's disease progression, influenced by TREM2 signaling.
• The developed MSMAD model serves as a valuable tool for understanding AD pathogenesis.
• Computational modeling can guide the development of more effective therapeutic interventions for Alzheimer's disease.