Evidence map›Paper›PMID 39992588›Full record

ArticleMolecular neurobiology2025

Identification and Validation of Biomarkers for Alzheimer's Disease Based on Akt and Wnt Signaling Pathways in Mouse Models.

Ya-Han Wang, Hong-Yun Wu, Chao Xin, Kai-Xin Zhang, Ji-Wei Zhang, Hong-Wei Zhi

Abstract read
In one paragraph

Article in Molecular neurobiology, 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. Article
  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

6 authors.

Ya-Han WangShandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, Shandong, China.
Hong-Yun WuShandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, Shandong, China.
Chao XinShandong Academy of Traditional Chinese Medicine Affiliated Hospital, Jinan, Shandong, China.
Kai-Xin ZhangShandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Ji-Wei ZhangShandong University of Traditional Chinese Medicine, Jinan, Shandong, China. 60050006@sdutcm.edu.cn.
Hong-Wei ZhiShandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, Shandong, China. zhihongwei@sdszyy.wecom.work.

Funding

Natural Science Foundation of China 82205064Natural Science Foundation of Shandong Province ZR2021QH110Shandong TCM science and technology development plan Z-2022060
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a neurodegenerative disease that remains challenging to treat. Akt and Wnt play a role in complex cellular signaling, which is crucial for examining the onset of AD. In this study, we aimed to identify and analyze Akt pathway-related genes (ARGs) and Wnt pathway-related genes (WRGs) as AD biomarkers, determine the effects of ARGs and WRGs on AD, and verify these effects in AD mouse models. We searched for differentially expressed genes in the Gene Expression Omnibus database, constructed candidate gene protein-protein interaction networks, and used least absolute shrinkage and selection operator regression analysis and the support vector machine-recursive feature elimination algorithm to screen key genes. Correlation and functional similarity analyses of key genes, immune infiltration analysis, competing endogenous RNA network construction, and drug prediction of key genes were performed. Expression of key genes in streptozotocin-treated (STZ)-treated AD mice was validated using quantitative reverse transcription polymerase chain reaction (RT-qPCR). Bioinformatics analysis identified five key genes in AD: PRKACA, CDH3, ATP6V0C, DLL1, and CELSR2. Step-down tests, immunohistochemistry, and silver plate staining confirmed successful treatment of STZ-induced AD in mice. According to RT-qPCR analysis, the relative expression of DLL1 mRNA in AD mice was higher than that in control mice, whereas the relative expression of ATP6V0C and PRKACA mRNA in AD mice was lower than that in control mice; this was consistent with the results of bioinformatics analysis (p < 0.05). This study screened and validated AD biomarkers associated with the Akt and Wnt pathways in mouse models.

Indexed as

Alzheimer DiseaseBiomarkersProto-Oncogene Proteins c-aktWnt Signaling PathwayAnimalsDisease Models, AnimalMaleMiceMice, Inbred C57BLProtein Interaction MapsReproducibility of ResultsBiomarkersProto-Oncogene Proteins c-aktAlzheimer’s diseaseATP6V0CBioinformatics analysisDLL1PRKACA

Identifiers

PMID39992588
PMCPMC12208985

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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.