Evidence map›Paper›PMID 39328512›Full record

ArticleHeliyon2024

Exploring resveratrol against Alzheimer's disease and Parkinson's disease through integrating network pharmacology, bioinformatics, and experimental validation strategy in vitro.

Jinpu Wu, Ziyue Tian, Boxue Wang, Jian Liu, Ran Bi, Naixin Zhan, Daixuan Song, Chengcheng He, Weimin Zhao

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

9 authors.

Jinpu WuAffiliated Hospital of Changchun University of Traditional Chinese Medicine, Jilin, 130021, China.
Ziyue TianHainan General Hospital, Haikou, 570311 China.
Boxue WangFirst Hospital of Jilin University, Jilin, 130061, China.
Jian LiuAffiliated Hospital of Changchun University of Traditional Chinese Medicine, Jilin, 130021, China.
Ran BiAffiliated Hospital of Changchun University of Traditional Chinese Medicine, Jilin, 130021, China.
Naixin ZhanChangchun University of Chinese Medicine, Jilin, 130117, China.
Daixuan SongAffiliated Hospital of Changchun University of Traditional Chinese Medicine, Jilin, 130021, China.
Chengcheng HeAffiliated Hospital of Changchun University of Traditional Chinese Medicine, Jilin, 130021, China.
Weimin ZhaoAffiliated Hospital of Changchun University of Traditional Chinese Medicine, Jilin, 130021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The study aims to investigate the pharmacological basis and molecular mechanisms of resveratrol in the treatment of Alzheimer's disease (AD) and Parkinson's disease (PD) through the approach of treating different diseases with the same method, guided by traditional Chinese medicine theory. Utilizing network pharmacology and bioinformatics methods, this research aims to provide modern medical evidence for the theory of treating different diseases with the same method in traditional Chinese medicine. Methods: Omnibus from Swiss Target Prediction, TCMSP, SuperPred, SEA, HIT, CTD, TCMIP and Gene Expression Disease datasets for resveratrol related genes, Alzheimer's disease, and Parkinson's disease were obtained from the GEO database. Core targets were identified by weighted gene coexpression network analysis (WGCNA) and minimum absolute contraction and selection operator (LASSO). The expression of core targets was verified in AD and PD cell models. The immune characteristics of AD and PD were analyzed by CIBERSORT algorithm. Finally, the potential mechanism of resveratrol intervention on the core target was studied by molecular docking technique. Results: The results of network pharmacological analysis showed that resveratrol acted on 85 common targets such as STAT3 and CASP3, affected AGE-RAGE signaling pathway and PI3K-Akt signaling pathway, and showed the effect of "same disease and different treatment" for AD and PD. Three core targets associated with AD and PD (PLK4, FCGRT, and PRKAR2A) were finally identified through comprehensive transcriptome analysis, and experimentally verified in cell models of AD and PD. At the same time, the analysis of immune cell infiltration suggested that AD and PD had dysregulation of inflammation, and the core target was significantly related to M2 macrophages. Conclusion: Resveratrol may play a potential mechanism of "treating the same disease with different diseases" and target three core targets (PLK4, FCGRT and PRKAR2A) to improve the disease process of AD and PD by participating in the regulation of immune and inflammatory pathways. These findings have potential implications for clinical practice and future research.

Indexed as

BioinformaticsImmune cell infiltrationMachine learningNetwork pharmacologyResveratrolTreatment of different diseases with the same method

Identifiers

PMID39328512
PMCPMC11425098

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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.