Abstract
Background: A significant proportion of individuals maintain cognition despite extensive Alzheimer’s disease (AD) pathology, known as cognitive resilience. Understanding the molecular mechanisms that protect these individuals could reveal therapeutic targets for AD. Methods: This study defines molecular and cellular signatures of cognitive resilience by integrating bulk RNA and single-cell transcriptomic data with genetics across multiple brain regions. We analyzed data from the Religious Order Study and the Rush Memory and Aging Project (ROSMAP), including bulk RNA sequencing (n = 631 individuals) and multiregional single-nucleus RNA sequencing (n = 48 individuals). Subjects were categorized into AD, resilient, and control based on β-amyloid and tau pathology, and cognitive status. We identified and prioritized protected cell populations using whole-genome sequencing-derived genetic variants, transcriptomic profiling, and cellular composition. Results: Transcriptomics and polygenic risk analysis position resilience as an intermediate AD state. Only GFAP and KLF4 expression distinguished resilience from controls at tissue level, whereas differential expression of genes involved in nucleic acid metabolism and signaling differentiated AD and resilient brains. At the cellular level, resilience was characterized by broad downregulation of LINGO1 expression and reorganization of chaperone pathways, specifically downregulation of Hsp90 and upregulation of Hsp40, Hsp70, and Hsp110 families in excitatory neurons. MEF2C, ATP8B1, and RELN emerged as key markers of resilient neurons. Excitatory neuronal subtypes in the entorhinal cortex (ATP8B+ and MEF2Chigh) exhibited unique resilience signaling through activation of neurotrophin (BDNF-NTRK2, modulated by LINGO1) and angiopoietin (ANGPT2-TEK) pathways. MEF2C+ inhibitory neurons were over-represented in resilient brains, and the expression of genes associated with rare genetic variants revealed vulnerable somatostatin (SST) cortical interneurons that survive in AD resilience. The maintenance of excitatory-inhibitory balance emerges as a key characteristic of resilience. Conclusions: We have defined molecular and cellular hallmarks of cognitive resilience, an intermediate state in the AD continuum. Resilience mechanisms include preserved neuronal function, balanced network activity, and activation of neurotrophic survival signaling. Specific excitatory neuronal populations appear to play a central role in mediating cognitive resilience, while a subset of vulnerable interneurons likely provides compensation against AD-associated hyperexcitability. This study offers a framework to leverage natural protective mechanisms to mitigate neurodegeneration and preserve cognition in AD.
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 103 |
| Zeitschrift | Molecular Neurodegeneration |
| Jahrgang | 20 |
| Ausgabenummer | 1 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 12.2025 |
Fördermittel
This work was funded in part by the Cure Alzheimer’s Fund, NIH (R01AG082093, R01AG062547, R01AG048080, R01AG014713, RF1 AG085291-01A1), NIH and McKnight Brain Research Foundation (U19 AG073172), Beth Israel Deaconess Medical Center SPARK pilot Grant, and the Alzheimer’s Association (AARF-23-1148927). The single-cell work was supported by RF1AG062377, RF1AG054321, R01AG054012 (L.-H.T.), as well as R01AG081017, R01AG062335, R01AG074003, U01NS110453, R01AG058002 (M.K.). ROSMAP is supported by P30AG10161, P30AG72975, R01AG15819, R01AG17917, U01AG46152, and U01AG61356. ROSMAP resources can be requested at https://www.radc.rush.edu and www.synapse.org . We thank all investigators from the CIRCUITS consortium (Collaboration to Infer Regulatory Circuits and Uncover Innovative Therapeutic Strategies consortium) and AGP (Alzheimer’s Genome Project), kindly funded by the Cure Alzheimer’s Fund (CureAlz). We acknowledge the Spatial Technologies Unit of Precision RNA Medicine Core (RRID:SCR_024905) and thank Yujing J. Heng, Antonella de Amaral, and Shuoshuo Wang for their technical assistance. We also thank Yered Pita-Juarez, Dimitra Karagkouni, and Ioannis Vlachos for important input into discussion of bioinformatics methods. We thank Quadri Adewale and Lester Kobzik for their insights and proofreading of the manuscript. The results published here are in part based on data obtained from the AD Knowledge Portal ( https://adknowledgeportal.org ). The data available in the AD Knowledge Portal would not be possible without the participation of research volunteers and the contribution of data by collaborating researchers. Figures A, A, A, A, , , , and C were created with BioRender.com. Figure was adapted from the templates “Excitatory and inhibitory neurons distribution in the layers of the human cortex”, “Cleavage of Amyloid Precursor Protein (APP)”, and “Alzheimer’s Brain (Disintegrating Microtubule)” by BioRender.com (2024). Retrieved from https://app.biorender.com/biorender-templates .
| Träger | Trägernummer |
|---|---|
| Alzheimer's Association | |
| Alzheimer’s Genome Project | |
| Evelyn F. McKnight Brain Research Foundation | |
| Cure Alzheimer's Fund | |
| National Institute on Aging | R01AG082093, R01AG014713, R01AG062547, R01AG048080, RF1 AG085291-01A1 |
| Alzheimer's Association | P30AG72975, U01AG61356, RF1AG054321, RF1AG062377, U01NS110453, R01AG054012, R01AG058002, P30AG10161, R01AG074003, U01AG46152, R01AG062335, R01AG081017, AARF-23-1148927, R01AG17917, R01AG15819 |
| McKnight Brain Research Foundation | U19 AG073172 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gesundheit und Wohlergehen
Strategische Forschungsbereiche und Zentren
- Querschnittsbereich: Medizinische Genetik
DFG-Fachsystematik
- 2.23-06 Molekulare und zelluläre Neurologie und Neuropathologie
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