Evidence map›Paper›PMID 36576665›Full record

ArticleMolecular diversity2023

Molecular mechanism of Acanthopanax senticosus in the treatment of Alzheimer's disease based on network pharmacology and molecular docking.

Feng Kuang, Tao Xiang

Abstract read
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In one paragraph

Article in Molecular diversity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

2 authors.

Feng KuangDepartment of Emergency, Hengyang Medical School, The First Affiliated Hospital, University of South China, Hengyang, Hunan, China.
Tao XiangDepartment of Neurology, Hengyang Medical School, The First Affiliated Hospital, University of South China, Hengyang, Hunan, China. xiangtao2019@sina.com.

Funding

the Project of Hunan Provincial Health Commission 2021 NO. 202110000052
6 · The paper itself

Abstract

Alzheimer's disease is the most common neurodegenerative disease. Acanthopanax senticosus, also known as Ciwujia or Siberian ginseng in Chinese, has a wide range of antioxidant and anti-inflammatory activities. The study aims to explore the action mechanism of A. senticosus against Alzheimer's disease using network pharmacology and molecular docking. The active ingredients and targets of A. senticosus were searched through the ETCM database, and Alzheimer's disease-related targets were obtained through the OMIM and GeneCards databases. The Cytoscape 3.7.2 software was used to construct a "drug-component-target" relationship network, and the target genes of A. senticosus against Alzheimer's disease were imported into the String database to establish a protein interaction (PPI) network. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes gene enrichment analyses were performed through the Metascape database to obtain potential pathways of action of A. senticosus for the treatment of Alzheimer's disease, and the ability of these active ingredients to bind to core targets was then verified by molecular docking. 51 active ingredients were screened from A. senticosus, and 88 effective targets for Alzheimer's disease were screened. Topological and pathway-enrichment analyses revealed that A. senticosus could play a beneficial role in the treatment of Alzheimer's disease by regulating apoptosis and inflammation. Molecular docking results showed that Ciwujianoside B, Chiisanoside, and Ciwujianoside D1 had strong binding abilities to key target proteins (TNFα, IL1β, and CASP3). Collectively, A. senticosus is feasible in the treatment of Alzheimer's disease.

Indexed as

Alzheimer DiseaseEleutherococcusNeurodegenerative DiseasesMolecular Docking SimulationNetwork PharmacologyAcanthopanax senticosusAlzheimer's diseaseMolecular dockingNetwork pharmacology

Identifiers

What OpenQuestion holds

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Read underepoch 390

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.