Evidence map›Paper›PMID 39779708›Full record

ArticleNature communications2025

Stereo-seq of the prefrontal cortex in aging and Alzheimer's disease.

Yun Gong, Mohammad Haeri, Xiao Zhang, Yisu Li, Anqi Liu, Di Wu, Qilei Zhang, S Michal Jazwinski, Xiang Zhou, Xiaoying Wang and 7 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
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  15. Article
  16. Mapping multipathology via spatial omic integration.Current opinion in biotechnology · 2026
    Review
  17. Single-Cell Profiling: Any Scale, Any Size, All at Once.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  18. Article
  19. Article
  20. 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

17 authors.

Yun Gong *Tulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA, 70112, USA.
Mohammad Haeri *Department of Pathology & Laboratory Medicine, University of Kansas Medical Center, Kansas City, MO, 66160, USA.ORCID http://orcid.org/0000-0001-6055-9779
Xiao ZhangTulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA, 70112, USA.
Yisu LiDepartment of Cell and Molecular Biology, School of Science of Engineering, Tulane University, New Orleans, LA, 70118, USA.
Anqi LiuTulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA, 70112, USA.
Di WuTulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA, 70112, USA.
Qilei ZhangSchool of Basic Medical Sciences, Central South University, Changsha, Hunan, 410008, China.
S Michal JazwinskiTulane Center for Aging, Deming Department of Medicine, Tulane University School of Medicne, New Orleans, LA, 70112, USA.
Xiang ZhouDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0002-4331-7599
Xiaoying WangClinical Neuroscience Research Center, Departments of Neurosurgery and Neurology, Tulane University School of Medicine, New Orleans, LA, 70112, USA.
Kai ZhangDepartment of Environmental Health Sciences, College of Integrated Health Sciences, University at Albany, Albany, NY, 12222, USA.
Lindong JiangTulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA, 70112, USA.ORCID http://orcid.org/0000-0001-9875-916X
Yi-Ping ChenDepartment of Cell and Molecular Biology, School of Science of Engineering, Tulane University, New Orleans, LA, 70118, USA.ORCID http://orcid.org/0000-0002-8628-7713
Xiaoxin YanSchool of Basic Medical Sciences, Central South University, Changsha, Hunan, 410008, China.ORCID http://orcid.org/0000-0001-6654-982X
Russell H SwerdlowDepartment of Neurology, University of Kansas Medical Center, Kansas City, MO, 66160, USA. rswerdlow@kumc.edu.ORCID http://orcid.org/0000-0003-2948-7230
Hui ShenTulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA, 70112, USA. hshen3@tulane.edu.ORCID http://orcid.org/0000-0003-0335-6064
Hong-Wen DengTulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA, 70112, USA. hdeng2@tulane.edu.ORCID http://orcid.org/0000-0002-0387-8818

Funding

University of Kansas Alzheimer's Disease Research Center (KU ADRC)P30AG072973 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Mohammad Haeri · 2021 to 2026
$25.3M
Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Katherine Teresa Mills · 2016 to 2026
$25.3M
Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI HONG-WEN DENG · 2017 to 2026
$24.3M
Pilot Projects ProgramP30GM145498 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI S MICHAL JAZWINSKI · 2022 to 2026
$8.6M
Intensive Lifestyle Intervention, Metabolomics, and Risk of Frailty Fracture in Overweight or Obese Patients with Type 2 DiabetesR01AG068232 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI JOHNSON, KAREN C, ZHAO, QI · 2021 to 2025
$3.1M
Identification of Metabolomic Profiles for Sarcopenia Traits in Older Whites and BlacksR01AG061917 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SHEN, HUI, ZHAO, QI · 2019 to 2023
$3.0M
Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) U19AG055373NIA NIH HHS P30 AG072973NIA NIH HHS R01 AG061917NIA NIH HHS R01 AG068232NIA NIH HHS U19 AG055373NIGMS NIH HHS P20 GM109036NIGMS NIH HHS P30 GM145498
6 · The paper itself

Abstract

Aging increases the risk for Alzheimer's disease (AD), driving pathological changes like amyloid-β (Aβ) buildup, inflammation, and oxidative stress, especially in the prefrontal cortex (PFC). We present the first subcellular-resolution spatial transcriptome atlas of the human prefrontal cortex (PFC), generated with Stereo-seq from six male AD cases at varying neuropathological stages and six age-matched male controls. Our analyses revealed distinct transcriptional alterations across PFC layers, highlighted disruptions in laminar structure, and exposed AD-related shifts in layer-to-layer and cell-cell interactions. Notably, we identified genes highly upregulated in stressed neurons and nearby glial cells, where AD diminished stress-response interactions that promote Aβ clearance. Further, cell-type-specific co-expression analysis highlighted three neuronal modules linked to neuroprotection, protein dephosphorylation, and Aβ regulation, with all modules downregulated as AD progresses. We identified ZNF460 as a transcription factor regulating these modules, offering a potential therapeutic target. In summary, this spatial transcriptome atlas provides valuable insight into AD's molecular mechanisms.

Indexed as

AgingAlzheimer DiseaseAmyloid beta-PeptidesPrefrontal CortexTranscriptomeAgedAged, 80 and overCase-Control StudiesDNA-Binding ProteinsGene Expression ProfilingHumansMaleMiddle AgedNeurogliaNeuronsTranscription FactorsAmyloid beta-PeptidesDNA-Binding ProteinsTranscription Factors

Identifiers

PMID39779708
PMCPMC11711495

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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.