Articlenpj aging2026
Region-specific transcriptional signatures of brain aging in the absence of neuropathology at the single-cell level.
Article in npj aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- Novel cell markers with altered expression in brain aging and Alzheimer's disease: A review.IBRO neuroscience reports · 2026Article
- Investigating the Causal Links between the Aging Process and Alzheimer's Disease Pathogenesis.International journal of stem cells · 2026Review
Corrections and comments
- Update of
Authors and funding
15 authors.
Funding
Abstract
As age is a significant risk factor for multiple neurodegenerative diseases, investigating normal brain aging may help identify molecular events contributing to increased disease risk over time. Single-nucleus RNA sequencing (snRNA-seq) enables analysis of gene expression changes within specific cell-types, offering insights into the molecular mechanisms underlying aging. However, most brain aging snRNA-seq datasets use age-matched controls from studies focused on pathology and sample cortical regions. Therefore, there is a need to investigate non-pathological aging within brain regions vulnerable to age-related diseases. We report a snRNA-seq study of 6 young (20-30 years) and 7 aged (60-85 years) individuals encompassing four different brain regions: the entorhinal cortex, middle temporal gyrus, subventricular zone, and putamen. We captured over 150,000 nuclei representing 10 broad cell-types. Region- and cell-type-specific differential expression analyses identified over 8000 age-associated genes. Notably, within a given cell-type, most of these associations were region-specific. Functional enrichment analyses of gene sets for each cell-type-region subgroup reflected multiple hallmarks of aging, including: proteostasis, interactions with cytokines, vesicular trafficking, metabolism, inflammation, metal ion homeostasis, and cellular senescence. Overall, our findings suggest that unique cell-types exhibit distinct transcriptional aging profiles both at the cell-type level and across different brain regions.
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Registered trials
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.