Evidence map›Paper›PMID 42129273›Full record

Articlenpj aging2026

Region-specific transcriptional signatures of brain aging in the absence of neuropathology at the single-cell level.

Monica E Mesecar, Megan F Duffy, Dominic J Acri, Jinhui Ding, Rebekah G Langston, Syed I Shah, Mike A Nalls, Xylena Reed, Sonja W Scholz, D Thad Whitaker and 5 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Monica E Mesecar *Cell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
Megan F Duffy *Cell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
Dominic J AcriCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
Jinhui DingComputational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
Rebekah G LangstonCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
Syed I ShahDataTecnica LLC, Washington, DC, USA.
Mike A NallsDataTecnica LLC, Washington, DC, USA.
Xylena ReedCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
Sonja W ScholzNeurodegenerative Diseases Research Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA.
D Thad WhitakerCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
Pavan K AuluckHuman Brain Collection Core, Division of Intramural Research, National Institute of Mental Health, NIH, Bethesda, MD, USA.
Stefano MarencoHuman Brain Collection Core, Division of Intramural Research, National Institute of Mental Health, NIH, Bethesda, MD, USA.
Alex R DeCasienComputational and Evolutionary Neurogenomics Unit, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
J Raphael GibbsComputational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
Mark R CooksonCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA. cookson@mail.nih.gov.

Funding

Procurement and Characterization of Postmortem Brain TissueZICMH002903 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MARENCO, STEFANO · 2009 to 2025
$56.0M
Genetic characterization of atypical parkinsonismZIANS003154 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI SCHOLZ, SONJA · 2016 to 2025
$15.4M
Developing a single cell map of the aging human brain relevant to Alzheimer's diseaseZIAAG000539 · NIA · NATIONAL INSTITUTE ON AGING · PI COOKSON, MARK · 2020 to 2025
$1.7M
Intramural NIH HHS ZIA AG000539Intramural NIH HHS ZIA NS003154Intramural NIH HHS ZIC MH002903NIA NIH HHS 1ZIAAG000539-01NIA NIH HHS ZO1 AG000535NIMH NIH HHS ZIC MH002903NINDS NIH HHS 1ZIANS003154
6 · The paper itself

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.

Identifiers

PMID42129273
PMCPMC13396485

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Registered trials

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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.