Evidence map›Paper›PMID 39868232›Full record

ArticlebioRxiv : the preprint server for biology2025

Molecular hallmarks of excitatory and inhibitory neuronal resilience and resistance to Alzheimer's disease.

Isabel Castanho, Pourya Naderi Yeganeh, Carles A Boix, Sarah L Morgan, Hansruedi Mathys, Dmitry Prokopenko, Bartholomew White, Larisa M Soto, Giulia Pegoraro, Saloni Shah and 10 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Isabel CastanhoHarvard Medical School, Boston, MA, USA.
Pourya Naderi YeganehHarvard Medical School, Boston, MA, USA.
Carles A BoixComputer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA.
Sarah L MorganHarvard Medical School, Boston, MA, USA.
Hansruedi MathysUniversity of Pittsburgh Brain Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA.
Dmitry ProkopenkoHarvard Medical School, Boston, MA, USA.
Bartholomew WhiteHarvard Medical School, Boston, MA, USA.
Larisa M SotoHarvard Medical School, Boston, MA, USA.
Giulia PegoraroHarvard Medical School, Boston, MA, USA.
Saloni ShahHarvard Medical School, Boston, MA, USA.
Athanasios PloumakisHarvard Medical School, Boston, MA, USA.
Nikolas KalavrosHarvard Medical School, Boston, MA, USA.
David A BennettRush Alzheimer's Disease Center, Rush University Medical Center, 1750 W Harrison Street, Suite 1000, Chicago, IL, 60612, USA.
Christoph LangeDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, 02115, Boston, MA, USA.
Doo Yeon KimHarvard Medical School, Boston, MA, USA.
Lars BertramLübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Lübeck, Germany.
Li-Huei TsaiBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Manolis KellisComputer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA.
Rudolph E TanziHarvard Medical School, Boston, MA, USA.
Winston HideHarvard Medical School, Boston, MA, USA.ORCID 0000-0002-8621-3271

Funding

SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
Rush Alzheimer's Disease Research CenterP30AG072975 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI Lisa L Barnes, Julie A. Schneider · 2021 to 2026
$24.7M
Resilience/Resistance to Alzheimer's Disease in Centenarians and Offspring (RADCO)U19AG073172 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI PERLS, THOMAS T · 2021 to 2025
$23.1M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Multi-omic network-directed proteoform discovery, dissection and functional validation to prioritize novel AD therapeutic targetsU01AG061356 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2018 to 2022
$13.7M
Pathway discovery, validation and compound identification for Alzheimer's disease - SupplementU01AG046152 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2013 to 2017
$13.6M
Non-coding RNAs in resilience to Alzheimer’s DiseaseR01AG082093 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Winston Alexander Hide, Doo Yeon Kim · 2023 to 2026
$3.4M
The Alzheimer's Disease Resiliome: Pathway Analysis and Drug Discovery.R01AG062547 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI HIDE, WINSTON ALEXANDER, KIM, DOO YEON · 2019 to 2023
$3.3M
Resilience to Alzheimer's disease by targeting adult hippocampal neurogenesisRF1AG085291 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI CHOI, SE HOON, HIDE, WINSTON ALEXANDER · 2024 to 2024
$2.2M
NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG072975NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG062547NIA NIH HHS R01 AG082093NIA NIH HHS RF1 AG085291NIA NIH HHS U01 AG046152NIA NIH HHS U01 AG061356NIA NIH HHS U19 AG073172
6 · The paper itself

Abstract

Background: A significant proportion of individuals maintain healthy cognitive function despite having extensive Alzheimer's disease (AD) pathology, known as cognitive resilience. Understanding the molecular mechanisms that protect these individuals can identify therapeutic targets for AD dementia. This study aims to define molecular and cellular signatures of cognitive resilience, protection and resistance, by integrating genetics, bulk RNA, and single-nucleus RNA sequencing data across multiple brain regions from AD, resilient, and control individuals. Methods: We analyzed data from the Religious Order Study and the Rush Memory and Aging Project (ROSMAP), including bulk (n=631) and multi-regional single nucleus (n=48) RNA sequencing. 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 distribution. Results: Transcriptomic results, supported by GWAS-derived polygenic risk scores, place cognitive resilience as an intermediate state in the AD continuum. Tissue-level analysis revealed 43 genes enriched in nucleic acid metabolism and signaling that were differentially expressed between AD and resilience. Only GFAP (upregulated) and KLF4 (downregulated) showed differential expression in resilience compared to controls. Cellular resilience involved reorganization of protein folding and degradation pathways, with downregulation of Hsp90 and selective upregulation of Hsp40, Hsp70, and Hsp110 families in excitatory neurons. Excitatory neuronal subpopulations in the entorhinal cortex (ATP8B1+ and MEF2C Conclusions: We identified molecular and cellular hallmarks of cognitive resilience, an intermediate state in the AD continuum. Resilience mechanisms include preservation of neuronal function, maintenance of excitatory/inhibitory balance, and activation of protective signaling pathways. Specific excitatory neuronal populations appear to play a central role in mediating cognitive resilience, while a subset of vulnerable SST interneurons likely provide compensation against AD-associated dysregulation. This study offers a framework to leverage natural protective mechanisms to mitigate neurodegeneration and preserve cognition in AD.

Indexed as

Alzheimer’s diseaseCognitive resiliencegene expressiongeneticsrare variantstranscriptomicsvulnerability

Identifiers

PMID39868232
PMCPMC11761133

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.