Integration of Aged Brain Multi-omics Reveals Cross-System Mechanisms Underlying Alzheimer’s Disease Heterogeneity

Authors

• Lucas P Scheidemantel
• Katia de Paiva Lopes
• Chris Gaiteri
• Vilas Menon
• Philip L De Jager
• Julie A Schneider
• Aron S Buchman
• Yanling Wang
• Shinya Tasaki
• Roberto T Raittz
• David A Bennett
• Ricardo A Vialle

Language

English

Publication Date

4-7-2026

Journal

Cell Reports

DOI

10.1016/j.celrep.2026.117235

PMID

41950003

PMCID

PMC13244359

PubMedCentral® Posted Date

6-9-2026

PubMedCentral® Full Text Version

Author MSS

Abstract

The molecular correlates of Alzheimer's disease (AD) are increasingly being defined by multi-omics. However, findings from different data types are often difficult to reconcile. Here, we apply a data-driven multi-omics framework integrating seven omics layers from up to 1,358 aged human brain samples from the Religious Orders Study and Rush Memory and Aging Project. We demonstrate sprawling cross-omics biological factors relating to AD phenotypes. The strongest AD-associated factor (factor 8) is characterized by elevated immune activity at the epigenetic level, decreased heat shock gene expression in the transcriptome, and disrupted energy metabolism and cytoskeletal dynamics in the proteome. Unsupervised clustering reveals 11 molecular subtypes, including three AD-associated clusters displaying distinct molecular signatures and phenotypic characteristics. Our findings provide a comprehensive map of molecular mechanisms underlying AD heterogeneity, highlighting neuroinflammatory processes and yielding potential biomarkers and therapeutic targets for precision medicine approaches.

Published Open-Access

yes

Recommended Citation

Scheidemantel, Lucas P; de Paiva Lopes, Katia; Gaiteri, Chris; et al., "Integration of Aged Brain Multi-omics Reveals Cross-System Mechanisms Underlying Alzheimer’s Disease Heterogeneity" (2026). Faculty, Staff and Student Publications. 884.
https://digitalcommons.library.tmc.edu/uthshis_docs/884