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Updated: Jul 9, 2025

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Published on: June 3, 2020
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Polypathologic Associations with Gray Matter Atrophy in Neurodegenerative Disease
Jeffrey S Phillips1, John L Robinson2, Katheryn A Q Cousins3
1Departments of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania 19104 jeffrey.phillips@pennmedicine.upenn.edu.
Summary
Brain atrophy in dementia is influenced by multiple protein pathologies, not just the primary diagnosis. Identifying co-occurring proteinopathies using biomarkers is crucial for understanding neurodegeneration.
Area of Science:
- Neuroscience
- Neuropathology
- Radiology
Background:
- Mixed pathologies are common in neurodegenerative diseases.
- Antemortem imaging often fails to capture co-pathologic effects on brain atrophy due to a lack of validated biomarkers for non-Alzheimer's pathologies.
Purpose of the Study:
- To assess polypathologic associations with brain atrophy using antemortem MRI and postmortem histopathology.
- To develop and validate a model that accounts for multiple proteinopathies in predicting brain atrophy.
Main Methods:
- Utilized a dataset of 125 dementia patients with T1-weighted MRI and postmortem histopathology.
- Employed linear mixed-effects models to relate regional volumes to ratings of amyloid, tau, TDP-43, and alpha-synuclein.
- Contrasted a polypathologic model with primary diagnosis and protein-agnostic models, evaluating fits with log-likelihood and correlation analyses.
Main Results:
- The polypathologic model demonstrated superior fits in both training and testing datasets.
- Tau, TDP-43, and alpha-synuclein burden were inversely associated with regional brain volumes, while amyloid was not.
- Gliosis and neuronal loss explained residual variance and mediated the effects of tau, TDP-43, and alpha-synuclein on atrophy.
Conclusions:
- Regional brain atrophy reflects primary molecular pathology and co-occurring proteinopathies.
- Inflammatory responses, such as gliosis, may independently contribute to neurodegeneration.
- Antemortem biomarkers are essential for detecting mixed pathologies in neurodegenerative diseases.
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