Classifying AD and PART: An Epigenetic Signature of Cognitive Resilience
DNAm distinguishes PART from AD. The DNAm-informed machine learning tool predicts PART vs. AD with high accuracy in multiple cohorts. Moreover, it stratifies indeterminate cases with similar pathology into biologically distinct groups. Together, the data suggest that in individuals with PART, a specific brain epigenetic and biological program contributes to resistance to AD pathology and associated cognitive resilience.
Authors
- Anil R. Wadhwani (ORCID: https://orcid.org/0000-0002-7007-2371)
- Wanding Zhou (ORCID: https://orcid.org/0000-0001-9126-1932)
- Kurt W. Farrell (ORCID: https://orcid.org/0000-0001-6955-7278)
- David A. Wolk (ORCID: https://orcid.org/0000-0002-3554-3481)
- John F. Crary (ORCID: https://orcid.org/0000-0002-0556-293X)
- Philip L. De Jager
- David C. Goldberg
- Eddie B Lee
- David A. A. Bennett
- Corey T. McMillan
Institutions
- Rush University Medical Center (US)
- Allen Institute for Brain Science (US)
- Children's Hospital of Philadelphia (US)
- Columbia University Irving Medical Center (US)
- Institute for Neurodegenerative Disorders (US)
- Penn Center for AIDS Research (US)
- Institute on Aging (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70855_107010
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00