Back

Single-nucleus transcriptomics identifies a shared vulnerable excitatory neuronal population across typical and atypical Alzheimers disease

Pereira, F. L.; Lew, C.; Li, S. H.; Rizi, L.; Soloviev, A. V.; Paes, V.; Brooks, S. D.; Spina, S.; Rexach, J. E.; Newell, K. L.; Leite, R. E.; Seeley, W. W.; Suemoto, C. K.; Ghetti, B.; Murray, M. E.; Grinberg, L. T.

2026-04-01 neuroscience
10.64898/2026.03.30.715299 bioRxiv
Show abstract

AO_SCPLOWBSTRACTC_SCPLOWAlzheimers disease (AD) presents with substantial clinical and anatomical heterogeneity, including both typical amnestic and atypical variants such as posterior cortical atrophy and logopenic primary progressive aphasia. Although neurofibrillary tangle (NFT) burden is a defining pathological feature of AD, its regional distribution varies across clinical phenotypes, suggesting that selective neuronal vulnerability may shape disease presentation. However, the cellular and molecular determinants underlying this vulnerability remain incompletely understood. Here, we profiled single-nucleus transcriptomes across multiple brain regions, including hippocampal (CA1) and neocortical (superior temporal gyrus and occipital cortex) regions, from individuals with typical and atypical AD and healthy controls. Integrative analysis identified major cell classes and resolved diverse excitatory and inhibitory neuronal subpopulations that were reproducibly observed across regions and individuals. Using quasi-binomial regression models to assess compositional changes, we quantified subtype-specific vulnerability associated with AD pathology. We identified a distinct excitatory neuronal subpopulation characterized by NRGN and BEX1 expression, which showed reproducible depletion across multiple regions, with the strongest evidence in amnestic AD and in neocortical regions in lvPPA. This vulnerable population showed concordance with previously reported AD-associated excitatory neuron signatures, supporting a conserved transcriptional program of susceptibility. Genes enriched in this population were associated with chemical synaptic transmission and regulation of synaptic plasticity and formed interconnected networks in protein-protein interaction analyses. These findings suggest that intrinsic properties related to synaptic function may predispose specific neuronal populations to degeneration in AD. Together, our results define a conserved, transcriptionally distinct excitatory neuron subpopulation that is selectively vulnerable across AD phenotypes and brain regions. This work provides a framework for linking regional pathology to cell-type-specific susceptibility and highlights synaptic regulatory pathways as potential contributors to neuronal degeneration in Alzheimers disease.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Alzheimer's & Dementia
143 papers in training set
Top 0.5%
14.6%
2
Nature Communications
4913 papers in training set
Top 14%
12.3%
3
Immunity
58 papers in training set
Top 1%
4.8%
4
Brain
154 papers in training set
Top 1%
4.8%
5
Acta Neuropathologica
51 papers in training set
Top 0.2%
4.8%
6
Cell Reports
1338 papers in training set
Top 10%
4.8%
7
Neuron
282 papers in training set
Top 3%
4.8%
50% of probability mass above
8
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 20%
3.6%
9
Nature Neuroscience
216 papers in training set
Top 3%
3.1%
10
Advanced Science
249 papers in training set
Top 7%
2.6%
11
Science
429 papers in training set
Top 11%
2.6%
12
Neurobiology of Disease
134 papers in training set
Top 2%
2.3%
13
eLife
5422 papers in training set
Top 36%
2.1%
14
Science Advances
1098 papers in training set
Top 15%
1.9%
15
Acta Neuropathologica Communications
81 papers in training set
Top 0.5%
1.8%
16
Molecular Neurodegeneration
49 papers in training set
Top 0.5%
1.7%
17
Molecular Psychiatry
242 papers in training set
Top 2%
1.7%
18
The Journal of Neuroscience
928 papers in training set
Top 6%
1.3%
19
Science Translational Medicine
111 papers in training set
Top 3%
1.3%
20
JCI Insight
241 papers in training set
Top 5%
1.2%
21
Developmental Cell
168 papers in training set
Top 10%
1.2%
22
Nature Genetics
240 papers in training set
Top 6%
1.2%
23
Aging Cell
144 papers in training set
Top 3%
0.9%
24
Nature Aging
51 papers in training set
Top 1%
0.9%
25
Nature Medicine
117 papers in training set
Top 4%
0.9%
26
Neuropathology and Applied Neurobiology
14 papers in training set
Top 0.6%
0.8%
27
Cell
370 papers in training set
Top 17%
0.7%
28
EMBO Molecular Medicine
85 papers in training set
Top 5%
0.7%
29
Frontiers in Molecular Neuroscience
43 papers in training set
Top 1%
0.6%