Evidence map›Paper›PMID 36735152›Full record

ReviewNeuroscience bulletin2023

C/EBPβ/AEP Signaling Drives Alzheimer's Disease Pathogenesis.

Jing Xiong, Zhentao Zhang, Keqiang Ye

Open access · greenAbstract readReview
In one paragraph

Review in Neuroscience bulletin, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% of its field
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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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  7. Asparagine endopeptidase (AEP) inhibitor formulation via zein-based nanoparticle improves the therapeutic efficacy toward Alzheimer's disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
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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

3 authors at 2 institutions in 1 country.

Jing XiongDepartment of Neurology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Zhentao ZhangDepartment of Neurology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Keqiang YeFaculty of Life and Health Sciences, Shenzhen Institute of Advanced Technology (SIAT), Shenzhen, 518034, China. kq.ye@siat.ac.cn.
Wuhan University · CNShenzhen Institute of Information Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is the most common type of dementia. Almost two-thirds of patients with AD are female. The reason for the higher susceptibility to AD onset in women is unclear. However, hormone changes during the menopausal transition are known to be associated with AD. Most recently, we reported that follicle-stimulating hormone (FSH) promotes AD pathology and enhances cognitive dysfunctions via activating the CCAAT-enhancer-binding protein (C/EBPβ)/asparagine endopeptidase (AEP) pathway. This review summarizes our current understanding of the crucial role of the C/EBPβ/AEP pathway in driving AD pathogenesis by cleaving multiple critical AD players, including APP and Tau, explaining the roles and the mechanisms of FSH in increasing the susceptibility to AD in postmenopausal females. The FSH-C/EBPβ/AEP pathway may serve as a novel therapeutic target for the treatment of AD.

Indexed as

Alzheimer DiseaseCognitive DysfunctionCCAAT-Enhancer-Binding Protein-betaFemaleFollicle Stimulating HormoneHumansMaleSignal TransductionCCAAT-Enhancer-Binding Protein-betaFollicle Stimulating HormoneAlzheimer’s diseaseAsparagine endopeptidaseC/EBPβFollicle stimulating hormonePathogenesis

Identifiers

PMID36735152
PMCPMC10313643
OpenAlexW4319057809

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.