Evidence mapPaperPMID 42160959Full record

ArticleThe journal of prevention of Alzheimer's disease2026

Identification of a CD44-dependent control of astrocytic autophagic activity in Alzheimer's disease.

Haiyan Wang, Ying Long, Yu Tang, Lijie Duan, Zijie Wang, Shuzhen Zhang, Yanqing Yin, Jiawei Zhou, Wenjuan Wu, Chunjiu Zhong

Abstract read
In one paragraph

Article in The journal of prevention of Alzheimer's disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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No citing paper in PubMed yet.

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

10 authors.

Haiyan WangDepartment of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China; State Key Laboratory of Brain Function and Disorders, Institutes of Brain Science, Fudan University, Shanghai, China.
Ying LongInstitute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Yu TangChina Resources WITest (Shanghai) Medical Instruments Co., Ltd, Shanghai, China; Department of Laboratory Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Lijie DuanDepartment of Neurology, Jinshan Hospital Affiliated to Fudan University, Shanghai, China.
Zijie WangDepartment of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China; State Key Laboratory of Brain Function and Disorders, Institutes of Brain Science, Fudan University, Shanghai, China.
Shuzhen ZhangInstitute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Yanqing YinInstitute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Jiawei ZhouInstitute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Wenjuan WuDepartment of Laboratory Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China. Electronic address: wwj1210@126.com.
Chunjiu ZhongDepartment of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China; State Key Laboratory of Brain Function and Disorders, Institutes of Brain Science, Fudan University, Shanghai, China; National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China. Electronic address: zhongcj@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory impairment. Despite extensive research, the precise molecular mechanisms driving AD pathogenesis remain incompletely understood. This study sought to identify robust molecular targets and cellular basis underlying AD progression.

methodsWe performed a systematic analysis of cross-regional transcriptomic datasets from AD patients, integrating differential expression analysis across 14 Gene Expression Omnibus (GEO) datasets with cross-regional intersection mapping. Single-nucleus RNA sequencing (snRNA-seq) was employed to resolve cell-type-specific expression patterns. Furthermore, cellular communication analysis and functional enrichment of astrocyte-specific genes were conducted. The biological role of the identified candidate was validated in vitro using Aβ42 oligomer-treated primary astrocytes via siRNA-mediated knockdown and plasmid-driven overexpression, with autophagic activity assessed through LC3-II and p62 expression.

resultsThe transmembrane glycoprotein receptor CD44 was identified as consistently upregulated across AD-vulnerable brain regions, including the temporal cortex, frontal cortex, entorhinal cortex, and hippocampus. snRNA-seq analysis identified this upregulation primarily to astrocytes. Intercellular signaling analysis indicated that the CD44-SPP1 axis enhanced astrocyte-glial crosstalk. Functional enrichment analysis linked astrocytic CD44 to the modulation of autophagy pathways. In vitro experiments demonstrated that CD44 knockdown promoted autophagic activation (increased LC3-II and decreased p62), whereas CD44 overexpression suppressed autophagic activity.

conclusionOur findings establish CD44 as a pivotal regulator of astrocytic autophagy in AD, highlighting its potential as a novel therapeutic target.

Indexed as

Alzheimer's diseaseAstrocytesAutophagyCD44Transcriptomic

Identifiers

PMID42160959
PMCPMC13199780

What Socratic holds

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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 Socratic graph.