Evidence map›Paper›PMID 40866602›Full record

ReviewArchives of toxicology2025

Glycogen synthase kinase-3: the master switch driving neurodegeneration in Alzheimer's disease and Parkinson's disease.

Yifang Liu, Jingru Zhang, Luhong Tang, Jiaoyan Yang, Liying Hao, Fan Lou, Jingyang Su

Abstract readReview
PubMed Publisher
In one paragraph

Review in Archives of toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Yifang Liu *Department of Clinical Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning, China.
Jingru Zhang *Department of Otolaryngology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
Luhong TangDepartment of Clinical Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning, China.
Jiaoyan YangDepartment of Clinical Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning, China.
Liying HaoDepartment of Pharmaceutical Toxicology, School of Pharmacy, China Medical University, Shenyang, Liaoning, China. lyhao@cmu.edu.cn.
Fan LouDepartment of Neurology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China. loufan1018@163.com.
Jingyang SuDepartment of Clinical Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning, China. jysu@cmu.edu.cn.ORCID 0009-0002-8769-6321

Funding

China Postdoctoral Science Foundation 2021M693914Key Laboratory Foundation of Medical Electrophysiology of Ministry of Education KeyME-2019-07Medical Electrophysiological Key Lab Foundation of Sichuan Province xtcx2019-11Natural Science Foundation of China 32271160Scientific Research Project of Liaoning Province 2022JH2/20200069
6 · The paper itself

Abstract

Glycogen synthase kinase-3 (GSK-3) is a critical serine/threonine kinase that plays a central role in regulating various cellular processes. In the nervous system, GSK-3 is particularly implicated in the pathogenesis of neurodegenerative diseases such as Alzheimer's disease and Parkinson's disease. Recent studies have demonstrated that GSK-3 modulates multiple pathological mechanisms through diverse signaling pathways, including PI

Indexed as

Alzheimer DiseaseGlycogen Synthase Kinase 3Parkinson DiseaseAnimalsHumansNeurodegenerative DiseasesSignal TransductionGlycogen Synthase Kinase 3Alzheimer’s diseaseGlycogen synthase kinase-3Inhibitor targeting therapyNeurodegenerative diseasesParkinson’s disease

Identifiers

PMID40866602

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.