Related Experiment Video
Updated: Aug 12, 2026

Quantitative 3D In Silico Modeling (q3DISM) of Cerebral Amyloid-beta Phagocytosis in Rodent Models of Alzheimer's Disease
Published on: December 26, 2016
The Alzheimer's Disease Exposome
Caleb E Finch1, Alexander M Kulminski2
1Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
Environmental factors significantly impact Alzheimer's disease (AD) risk and progression. Understanding the "AD exposome" and gene-environment interactions (GxE) is crucial for developing interventions for cognitive aging.
Area of Science:
- Neuroscience
- Environmental Health
- Genetics
Background:
- Environmental factors' role in Alzheimer's disease (AD) etiology is largely unknown.
- Individual differences in cognitive decline suggest gene-environment interactions (GxE).
Purpose of the Study:
- To introduce the "AD exposome" concept for assessing environmental influences on cognitive aging.
- To highlight the need for multi-generational analysis (GxExT) of environmental factors.
Main Methods:
- Proposing a comprehensive assessment of modifiable environmental factors.
- Emphasizing the need for advanced computational approaches to analyze complex interactions.
- Advocating for international, diverse population studies.
Main Results:
- The "AD exposome" framework aims to link environmental exposures to AD genetic risk.
- Multi-generational (GxExT) analysis is essential for understanding complex interactions.
- Computational methods are needed to decipher these multi-level complexities.
Conclusions:
- Identifying key environmental exposures across the lifespan is critical for GxE research.
- Accessible interventions for brain aging can emerge from understanding the "AD exposome".
- International collaboration is vital for robust GxE research in AD.
More Related Videos
04:41Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
Published on: January 9, 2020
09:47DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data
Published on: December 15, 2023
Related Concept Videos
Alzheimer's Disease: Overview
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ and tau...
Alzheimer's Disease: Treatment
Dementia
The progression of dementia is generally gradual.
Alzheimer Disease l: Introduction
Alzheimer Disease ll: Pathophysiology
Dementia l: Introduction