Evidence map›Paper›PMID 42678676›Full record

ArticleJournal of Alzheimer's disease : JAD2026

Single-cell transcriptomic atlas of Alzheimer's disease middle temporal gyrus reveals region, cell type, and sex specificity of gene expression with novel genetic risk for MERTK in female.

Le Zhang, Tianyu Liu, Chuan H He, Anthony Russo, Sarah Coffey, Dominic Yin, I-Uen Hsu, Chi Zhang, Yixuan Ye, Chang Su and 13 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  8. Evaluating the Utilities of Foundation Models in Single-Cell Data Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  12. MicroRNA cargo in neuron-derived vesicles as peripheral biomarkers of brain insulin dysregulation.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Le ZhangDepartment of Neurology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-4860-831X
Tianyu LiuDepartment of Biostatistics, Yale University School of Public Health, New Haven, CT, USA.ORCID 0000-0002-9412-6573
Chuan H HeDepartment of Neurology, Yale University School of Medicine, New Haven, CT, USA.
Anthony RussoDepartment of Neurology, Yale University School of Medicine, New Haven, CT, USA.
Sarah CoffeyDepartment of Neurology, Yale University School of Medicine, New Haven, CT, USA.
Dominic YinDepartment of Neurology, Yale University School of Medicine, New Haven, CT, USA.
I-Uen HsuDepartment of Neuroscience, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-4089-6601
Chi ZhangDepartment of Biostatistics, Yale University School of Public Health, New Haven, CT, USA.
Yixuan YeDepartment of Biostatistics, Yale University School of Public Health, New Haven, CT, USA.
Chang SuDepartment of Biostatistics, Yale University School of Public Health, New Haven, CT, USA.ORCID 0000-0002-8704-1512
Joshua SpurrierDepartment of Neurology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-6267-7231
Lashae NicholsonDepartment of Neurology, Yale University School of Medicine, New Haven, CT, USA.
Brian W KunkleThe John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA.
Eden R MartinThe John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA.
Omar G RodriguezThe John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA.
Lissette GomezThe John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA.
Rui ChangDepartment of Neuroscience, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0001-6953-2943
Carla V RothlinDepartment of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-5693-5572
Sourav GhoshDepartment of Neurology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0001-5990-8708
Pallavi P GopalCellular Neuroscience, Neurodegeneration and Repair Program, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0003-4708-8479
David A HaflerDepartment of Neurology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0003-4664-535X
Hongyu ZhaoDepartment of Biostatistics, Yale University School of Public Health, New Haven, CT, USA.ORCID 0000-0003-1195-9607
Stephen M StrittmatterDepartment of Neurology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0001-8188-3092

Funding

Yale Alzheimer Disease Research CenterP30AG066508 · NIA · YALE UNIVERSITY · PI STEPHEN M STRITTMATTER · 2020 to 2026
$30.2M
Prion Protein in Alzheimer's Disease PathophysiologyR01AG034924 · NIA · YALE UNIVERSITY · PI STEPHEN M STRITTMATTER · 2010 to 2026
$9.6M
Sex-Specific Single Cell Expression Profiles, Genetic Risk and Drug Responsiveness in Alzheimer's DiseaseR56AG074015 · NIA · YALE UNIVERSITY · PI GHOSH, SOURAV, ROTHLIN, CARLA · 2021 to 2022
$2.5M
NIA NIH HHS P30 AG066508NIA NIH HHS R01 AG034924NIA NIH HHS R56 AG074015
6 · The paper itself

Abstract

BackgroundAlzheimer's disease (AD), the most common age-related neurodegenerative disease, is closely associated with both amyloid-β plaque and neuroinflammation. Two thirds of AD patients are female, and they have a higher disease risk; women with AD have more extensive brain histological changes than men along with more severe cognitive symptoms and neurodegeneration.ObjectiveThis study aimed to determine how sex difference induces structural brain changes and molecular cell vulnerabilities in AD, with a focus on identifying sex-specific transcriptional alterations and genetic risk factors.MethodsWe performed single nucleus RNA sequencing on postmortem brains from individuals with AD and age- and sex-matched controls, focusing on the middle temporal gyrus, a cortical brain region strongly affected by the disease, and integrated single nucleus RNA sequencing results with genome-wide association study (GWAS) data using cell type-specific enrichment and generalized gene-set analysis approaches. The analysis pipeline is provided with threshold information.ResultsWe identified a selectively vulnerable subpopulation of layer 2/3 excitatory neurons that were RORB-negative and CDH9-expressing in both males and females. Disease-associated, but sex-independent, reactive astrocyte signatures were also present. In clear contrast, the microglia signatures of AD brains differed between males and females. Integrating single cell transcriptomic data with results from GWAS, we identified

Indexed as

Alzheimer's diseasegenome-wide association studiesMERTKmiddle temporal gyrusneuroinflammationsex differencesex-specific genetic risksingle cell transcriptomics

Identifiers

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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.