Cited by 4Alzheimer's disease research and treatmentsDementia and Cognitive Impairment ResearchNeuroinflammation and Neurodegeneration Mechanisms

Conserved cell‐type specific signature of resilience to Alzheimer’s disease nominates role for excitatory cortical neurons

Telpoukhovskaia, Maria, Hadad, Niran, Gurdon, Brianna, Dai, Miko, Ouellette, Andrew R, Neuner, Sarah, Dunn, Amy R, Hansen, Shania L +13 more·2022·Alzheimer's & Dementia

Abstract

Background Alzheimer’s disease (AD), the leading cause of dementia, affects millions of people worldwide. With no disease‐modifying medication currently available, the human toll and economic costs are rising rapidly. Under current standards, a patient is diagnosed with AD when both cognitive decline and pathology (amyloid plaques and neurofibrillary tangles) are present. Remarkably, some individuals who have AD pathology remain cognitively normal. Uncovering factors that lead to “cognitive resilience” to AD is a promising path to create new targets for therapies. However, technical challenges discovering novel human resilience factors limit testing, validation, and nomination of novel drugs for AD. Method In this study, we use single‐nuclear transcriptional profiles of postmortem cortex from human individuals with high AD pathology who were either cognitively normal (resilient) or cognitively impaired (susceptible) at time of death, as well as mouse strains that parallel these differences in cognition with high amyloid. Result Our cross‐species discovery approach highlights a novel role for excitatory layer 4/5 cortical neurons in promoting cognitive resilience to AD, and nominates several resilience genes that include ATP1A1, GABRB1, PTK2, and ROCK2. Nominated resilience genes were tested for replication in orthogonal data sets and confirmed to be correlated with cognitive resilience. Additionally, we identified several potential mechanisms of resilience, including regulati…

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Crossref · 10.1002/alz.069370

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  • Omics and large cohort dataset analyses have identified potential cell signatures and molecular mechanisms of resilience, including high processing of energetic pathways involving mitochondrial metabolism and glycolysis, axonal and dendritic growth, and a general increase in protein processing.

    “Advancements in omics and large cohort dataset analyses have enabled the identification of potential cell signatures and molecular mechanisms of resilience, including high processing of energetic pathways involving mitochondrial metabolism and glycolysis, axonal and dendritic growth, and a general increase in protein processing [11, 90, 91].”

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Authors
Telpoukhovskaia, M., Hadad, N., Gurdon, B., Dai, M., Ouellette, A. R., Neuner, S., Dunn, A. R., Hansen, S. L., Wu, Y., Dumitrescu, L., O'Connell, K. M., Dammer, E. B., Seyfried, N. T., Muzumdar, S., Gillis, J., Robson, P., Zhang, J., Hohman, T. J., Philip, V. M., Menon, V., & Kaczorowski, C. C.
Affiliations
  • Jackson Laboratory (US)
  • Icahn School of Medicine at Mount Sinai (US)
  • Vanderbilt University (US)
  • Vanderbilt University Medical Center (US)
  • The Jackson Laboratory Bar Harbor ME USA
  • Emory University (US)
  • Cold Spring Harbor Cold Spring Harbor NY USA
  • University of Toronto (CA)
  • The Jackson Laboratory for Genomic Medicine (US)
  • Columbia University Irving Medical Center (US)
  • Tufts University (US)
Corresponding author
Telpoukhovskaia, Maria
Venue
Alzheimer's & Dementia
Publisher
Wiley
Published
2022-12
Volume
18
Issue
S4
ISSN
  • 1552-5260 (ISSN-L)
  • 1552-5279
OpenAlex
W4312086286
Cited by
4
References
0
Citations by year
2024: 1 · 2023: 3
FWCI
0.62
Type
journal article
Language
en
Open access
closed
Locations
Alzheimer s & Dementia (publishedVersion)
Topics
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
Keywords
Alzheimer's disease, cognitive resilience

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