Evidence map›Paper›PMID 39936500›Full record

ArticleBrain : a journal of neurology2025

Single-nucleus transcriptome atlas of the basal forebrain reveals diverse ageing-related pathways.

Jiale Chen, Qianqian Li, Bingqing Ji, Ke Zhang, Miao Ren, Anan Li, Hui Gong, Jian Wang, Gang Cao, Qingming Luo and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain : a journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. A lifespan staging model of basal forebrain cholinergic vulnerability.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jiale ChenBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan 430074, China.ORCID 0009-0008-2355-4643
Qianqian LiBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan 430074, China.
Bingqing JiBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan 430074, China.
Ke ZhangBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan 430074, China.
Miao RenState Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570100, China.
Anan LiBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan 430074, China.ORCID 0000-0002-5877-4813
Hui GongBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan 430074, China.
Jian WangDepartment of Neurosurgery, Qilu Hospital of Shandong University and Brain Science Research Institute, Shandong University, Jinan 250000, China.
Gang CaoFaculty of Life and Health Sciences, Shenzhen University of Advanced Technology, Shenzhen 518107, China.
Qingming LuoState Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570100, China.
Xiangning LiState Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570100, China.

Funding

National Natural Science Foundation of China 81827901STI2030-Major Projects 2021ZD0201001
6 · The paper itself

Abstract

The basal forebrain is a critical brain region involved in various neurobiological processes, including learning, memory and attention. Basal forebrain cells undergo structural and functional changes during ageing, increasing their vulnerability to neurodegenerative diseases. To reveal the molecular landscape of distinct cell types during development and early ageing, we constructed a comprehensive single-nucleus transcriptomic atlas spanning postnatal Days 4 and 14 and 3, 9 and 15 months of age. Distinct molecular regulatory patterns of basal forebrain subclasses and ageing-related pathways were unveiled. The transcriptional regulation analysis and pseudo-time analysis revealed the dynamic regulatory network of cholinergic neurons during postnatal development. To gain insights into the relationship between ageing and Alzheimer's disease, we conducted an integrative analysis. We identified four potential regulatory networks involved in cholesterol/lipid metabolism, DNA damage repair and death receptor signal in 5xFAD mice. The cholinergic subtype CN-2 exhibited heightened activity of regulons associated with Srebf2 and Zmiz1, which, in turn, target hub genes implicated in these networks. Meanwhile, CN-2 is the main cholinergic subtype contributing to the alteration of the NRXN signalling pathway. This study offers a significant data source to elucidate the molecular underpinnings of ageing-related and pathological changes in the basal forebrain, paving the way for future research and therapeutic interventions that target specific basal forebrain subclasses and signalling pathways.

Indexed as

AgingBasal ForebrainTranscriptomeAlzheimer DiseaseAnimalsCholinergic NeuronsMaleMiceMice, TransgenicSignal TransductionageingAlzheimer’s diseasebasal forebraincholinergic neurondevelopmentsingle-nucleus RNA sequencing

Identifiers

PMID39936500
PMCPMC12233554

What OpenQuestion holds

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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.