Evidence map›Paper›PMID 37577533›Full record

ArticlebioRxiv : the preprint server for biology2025

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

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 22 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 1 country.

Monica E MesecarCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 20892.ORCID 0000-0001-6843-9501
Megan F DuffyCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 20892.ORCID 0000-0003-0094-0900
Dominic J AcriCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 20892.ORCID 0000-0003-1942-0892
Jinhui DingComputational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 20892.ORCID 0000-0002-4691-4524
Rebekah G LangstonCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 20892.ORCID 0000-0003-0123-7934
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, Maryland, USA 20892.ORCID 0000-0002-7563-9365
Sonja W ScholzNeurodegenerative Diseases Research Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA.ORCID 0000-0002-6623-0429
D Thad WhitakerCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 20892.ORCID 0000-0002-7697-2776
Pavan K AuluckHuman Brain Collection Core, Division of Intramural Research, National Institute of Mental Health, NIH, Bethesda, MD, 20892, USA.ORCID 0000-0003-4799-7904
Stefano MarencoHuman Brain Collection Core, Division of Intramural Research, National Institute of Mental Health, NIH, Bethesda, MD, 20892, USA.ORCID 0000-0002-2488-2365
Alex R DeCasienComputational and Evolutionary Neurogenomics Unit, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 20892.ORCID 0000-0002-6205-5408
J Raphael GibbsComputational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 20892.ORCID 0000-0002-6985-0658
Mark R CooksonCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 20892.ORCID 0000-0002-1058-3831
National Institutes of Health · USJohns Hopkins University · USNational Institute of Mental Health · US

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
Targeted DNA Methylation and Mitochondrial Heteroplasmy CoreP30AG050911 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Matthew John Hart · 2015 to 2026
$13.9M
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 P30 AG050911
6 · The paper itself

Abstract

Given that age is a significant risk factor for multiple neurodegenerative diseases, investigating normal brain aging may help identify molecular events that may contribute to increased disease risk over time. Single-nucleus RNA sequencing (snRNA-seq) enables analysis of gene expression changes within specific cell-types, potentially offering insights into the molecular mechanisms underlying aging. However, most brain snRNA-Seq datasets used age-matched controls from studies focused on pathological processes and have largely been limited to cortical regions. Therefore, there is a need to investigate the non-pathological aging process in brain regions that are vulnerable to age-related diseases. Here, we report a snRNA-seq study of 6 young (20-30 years) and 7 aged (60-85 years) encompassing four different brain regions: the entorhinal cortex, middle temporal gyrus, subventricular zone, and putamen. We captured over 150,000 nuclei that represented 10 broad cell-types. While we did not find statistically significant differences in cell-type proportions with age, region- and cell-type-specific differential expression analyses identified over 8,000 age-associated genes. Notably, within a given cell-type, most of these associations were region-specific. Functional enrichment analyses of the gene sets for each cell-type-region combination revealed diverse biological processes, including multiple hallmarks of aging, such as proteostasis, interactions with cytokines, vesicular trafficking, metabolism, inflammation, and metal ion homeostasis. Overall, our findings suggest that unique cell-types exhibit distinct transcriptional aging profiles both at the cell-type level and across different brain regions.

Indexed as

Agingbrainentorhinal cortexhealthyhumanmiddle temporal gyrusneuropathologyputamensnRNAseqsubventricular zonetranscriptomics

Identifiers

PMID37577533
PMCPMC10418086
OpenAlexW4385446108

What OpenQuestion holds

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Registered trials

None linked

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.