Evidence map›Paper›PMID 39833635›Full record

ArticleApoptosis : an international journal on programmed cell death2025

Silibinin's role in counteracting neuronal apoptosis and synaptic dysfunction in Alzheimer's disease models.

Baohui Zhang, Di Zhang, Keyan Chen, Tengfei Wu

Abstract read
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In one paragraph

Article in Apoptosis : an international journal on programmed cell death, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

The trial behind it

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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

0 citing papers in PubMed.

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

4 authors.

Baohui Zhang *Department of Neurobiology, China Medical University, Shenyang, 110122, China.
Di Zhang *Department of Cardiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China.
Keyan ChenDepartment of Laboratory Animal Science, China Medical University, No. 77, Puhe Road, Shenbei New District, Shenyang, Liaoning Province, 110122, China. kychen@cmu.edu.cn.
Tengfei WuDepartment of Laboratory Animal Science, China Medical University, No. 77, Puhe Road, Shenbei New District, Shenyang, Liaoning Province, 110122, China. tfwu@cmu.edu.cn.

Funding

the Liaoning Provincial Natural Fund 2022-MS-180
6 · The paper itself

Abstract

This study investigates silibinin's capacity to mitigate Alzheimer's disease (AD) pathologies with a particular emphasis on its effects on apoptosis and synaptic dysfunction in AD models. Employing APP/PS1 transgenic mice and SH-SY5Y neuroblastoma cell lines, our research assessed the efficacy of silibinin in reducing amyloid-beta (Aβ) deposition, neuroinflammation, and neuronal apoptosis. Our results demonstrate that silibinin significantly decreases Aβ accumulation and neuroinflammation and robustly inhibits apoptosis in neuronal cells. Additionally, silibinin enhances the expression of synaptic proteins, thereby supporting synaptic integrity. Through network pharmacology analysis, we identified potential targets of silibinin in Aβ metabolism and synaptic functions. Mechanistically, our findings suggest that silibinin promotes neuronal survival predominantly via the modulation of the Fyn/GluN2B/CaMKIIα signaling pathway, which protects against Aβ1-42-induced apoptosis. These insights highlight silibinin's potential as a therapeutic agent for AD, particularly its role in reducing neuronal apoptosis and maintaining synaptic function.

Indexed as

Alzheimer DiseaseApoptosisNeuronsSilybinSynapsesAmyloid beta-PeptidesAmyloid beta-Protein PrecursorAnimalsCell Line, TumorDisease Models, AnimalHumansMiceMice, TransgenicSignal TransductionAmyloid beta-PeptidesAmyloid beta-Protein PrecursorSilybinAlzheimer's diseaseAβ depositionFyn/GluN2B/CaMKIIα signaling pathwayNeuroprotectionSilibininSynaptic dysfunction

Identifiers

What Socratic 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 Socratic graph.