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Single-cell atlas of transcriptomic vulnerability across brain disorders

Original title: Single-cell atlas of transcriptomic vulnerability across brain disorders.

Neurodegenerative and neuropsychiatric diseases impose a considerable societal and public health burden.

By Lee, Koutrouli, Masse +30Nature

Score█████░░░░░5.0

VerdictWorth a reader's time today.

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Abstract

Neurodegenerative and neuropsychiatric diseases impose a considerable societal and public health burden. However, our understanding of the molecular mechanisms underlying these highly complex conditions remains limited1,2. Here, to gain deeper insights into the aetiology of different brain diseases, we used specimens from 1,494 unique donors to generate a population-scale single-cell transcriptomic atlas of the human dorsolateral prefrontal cortex, comprising over 6.3 million individual nuclei. The cohort includes neurotypical controls, as well as donors affected by eight common and complex brain disorders: Alzheimer's disease (AD), diffuse Lewy body disease (DLBD), vascular dementia (Vas), Parkinson's disease (PD), tauopathy, frontotemporal dementia, schizophrenia, and bipolar disorder. We show that interindividual variation accounts for a substantial portion of gene expression variation. By comparing transcriptomic variation across diseases, we reveal universal signatures enriched in basic cellular functions such as mRNA processing and protein localization. After discounting these cross-disease signatures, we show stronger genetic and transcriptomic concordance among AD, DLBD, Vas and PD. Furthermore, we characterize transcriptomic variation among different AD phenotypes, distinct from those observed in healthy ageing, revealing a reduction in neuronal abundance in individuals with more severe AD, coupled with an increase in immune and vascular cell populations. Exploring the neuropsychiatric symptoms (NPSs) that frequently accompany AD, we find an increased abundance of deep-layer excitatory neurons associated with a broad range of NPSs. By constructing transcriptome trajectories that capture AD progression, we implicate cell-type-specific responses in the early and late stages of AD. Our disease atlas provides a perspective of the transcriptomic landscape in neurodegenerative and neuropsychiatric disorders, shedding light on shared and distinct processes involving the neurological-immune-vascular systems, and identifying potential targets for therapeutic intervention.

Donghoon Lee, Mikaela Koutrouli, Nicolas Y Masse, Gabriel E Hoffman, Seon Kinrot, Xinyi Wang, Prashant N M, Milos Pjanic, Tereza Clarence, Fotios Tsetsos, Deepika Mathur, David Burstein, Karen Therrien, Aram Hong, Clara Casey, Zhiping Shao, Marcela Alvia, Stathis Argyriou, Jennifer Monteiro Fortes, Sarah R Murphy, Pavel Katsel, Pavan K Auluck, Lisa L Barnes, Stefano Marenco, David A Bennett, PsychAD Consortium, Lars Juhl Jensen, Kiran Girdhar, Georgios Voloudakis, Vahram Haroutunian, et al.

The editor's rubric

Heuristic review

DimensionLevelWeightWhat that level means
Leverage████░ 410%A general-purpose tool used across several fields (Adam, ResNet, LoRA, next-generation sequencing).
Magnitude██░░░ 220%Solid incremental gain on a meaningful problem.
Evidence███░░ 332%Solid: multiple benchmarks or cohorts, ablations, fair baselines, released code or data.
Novelty███░░ 38%A genuinely new approach to an open problem.
Trajectory███░░ 35%A clear path to scale.
Stakes███░░ 325%Meaningful benefit to many people within a few years.

Editor’s rationale

Heuristic triage from title and abstract text only, not a reading of the paper. Cues found: method (we report); breadth (general-purpose, wide range); novelty (discovery); scale (scalable); stakes (global scale, major disease, prevention or cure).

How the score was computed

rank-2026-09-29

Score█████░░░░░5.0

Score = 10 × (80% × adjusted merit / 10 + 10% × attention + 10% × freshness)

Merit
5.8 / 10
Weighted rubric, evidence-gated.
Adjusted merit
4.8 / 10
Shrunk toward the desk prior by editor confidence (46%).
Attention
50%
Citations, upvotes, points, mentions.
Freshness
60%
Half-life decay since publication.
  • Citations5 (reference 20, via openalex, Sep 29, 2026, 23:37 UTC)
  • Field-weighted citation impact12.2 (reference 3, via openalex, Sep 29, 2026, 23:37 UTC)

The record

  • Reviewed by heuristic-v2 on Sep 29, 2026, 23:53 UTC. Paper type: clinical.
  • Categories: research-article, Journal Article, Neurons, Humans, Brain Diseases, Parkinson Disease, Alzheimer Disease, Bipolar Disorder, Schizophrenia, Aged
  • LEAD, No.1 in the Biology edition of September 30, 2026.
  • LEAD, No.1 in the Biology edition of September 29, 2026.
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