Literature DB >> 33509748

[Network pharmacology-based study of the therapeutic mechanism of resveratrol for Alzheimer's disease].

Yingyan Fang1, Zhenhong Su1, Wenxia Si1, Yuancheng Liu2, Jie Li2, Peng Zeng2.   

Abstract

OBJECTIVE: To investigate the therapeutic mechanism of resveratrol (RES) for Alzheimer's disease (AD) in light of network pharmacology.
METHODS: We searched PubChem, BATMAN-TCM, Genecards, AD, TTD, String 11.0, AlzData, SwissTargetPrediction, Metascape and other databases for the therapeutic targets of RES and human AD-related targets. The intersection was determined using Venny 2.1 to obtain the therapeutic targets of RES for AD. The protein-protein interaction (PPI) network was constructed, the gene ontology (GO) was enriched and the Kyoto Encyclopedia of Genes and Genomes pathway (KEGG pathway) were analyzed. Cytoscape 3.7.1 software was used to construct a target-signaling pathway network of RES in the treatment of AD. Molecular docking verification was carried out on SwissDock (http://www.swissdock.ch/docking). We examined a 293Tau cell model of AD for changes in protein levels of pS396, pS199, Tau5, CDK5, glycogen synthase kinase 3β (GSK3β) and p-GSK3β in response to RES treatment using Western blotting.
RESULTS: We obtained 182 targets of RES, 525 targets related to AD, and 36 targets of RES for AD treatment, among which 34.6% of the targets were protein-modifying enzymes, 27.7% were metabolite invertase, 13.8% were gene-specific transcriptional regulators, and 10.3% were transporters. The core key targets of RES in the treatment of AD included INS, APP, ESR1, MMP9, IGF1R, CACNA1C, MAPT (microtubule- associated protein Tau), MMP2, TGFB1 and GSK3B. Enrichment analysis of GO biological process suggested that the biological function of RES in AD treatment mainly involved the response to β-amyloid protein, positive regulation of transferase activity, the transmembrane receptor protein tyrosine kinase signaling pathway, regulation of behavior, learning or memory, aging, and transmembrane transport. KEGG pathway enrichment analysis showed that the most significantly enriched signaling pathways were AD pathway, PI3K-AKT signaling pathway, cGMP-PKG signaling pathway, and MAPK signaling pathway. Molecular docking results showed that RES had strong binding with ESR1, GSK3B, MMP9, IGF1R, APP and INS. In the cell model of AD, treatment with 50 μmol/L RES for 12 h significantly reduced the levels of pS396 and pS199 by regulating CDK5 and GSK3β activity (P < 0.001).
CONCLUSIONS: RES produces therapeutic effects on AD by acting on multiple targets and affecting multiple signaling pathways and improves AD-associated pathologies via a direct action on Aβ and Tau pathological processes.

Entities:  

Keywords:  Alzheimer's disease; mechanism; network pharmacology; resveratrol

Mesh:

Substances:

Year:  2021        PMID: 33509748      PMCID: PMC7867487          DOI: 10.12122/j.issn.1673-4254.2021.01.02

Source DB:  PubMed          Journal:  Nan Fang Yi Ke Da Xue Xue Bao        ISSN: 1673-4254


  24 in total

Review 1.  The therapeutic effect of resveratrol: Focusing on the Nrf2 signaling pathway.

Authors:  Tahereh Farkhondeh; Silvia Llorens Folgado; Ali Mohammad Pourbagher-Shahri; Milad Ashrafizadeh; Saeed Samarghandian
Journal:  Biomed Pharmacother       Date:  2020-05-20       Impact factor: 6.529

2.  Therapies for Alzheimer's disease.

Authors:  Irena Melnikova
Journal:  Nat Rev Drug Discov       Date:  2007-05       Impact factor: 84.694

3.  Investigation of matrix metalloproteinases, MMP-2 and MMP-9, in plasma reveals a decrease of MMP-2 in Alzheimer's disease.

Authors:  Nastasia K-H Lim; Victor L Villemagne; Cynthia P W Soon; Katrina M Laughton; Christopher C Rowe; Catriona A McLean; Colin L Masters; Genevieve Evin; Qiao-Xin Li
Journal:  J Alzheimers Dis       Date:  2011       Impact factor: 4.472

Review 4.  Effects of Resveratrol and Other Polyphenols on the Most Common Brain Age-Related Diseases.

Authors:  Fiorella Sarubbo; David Moranta; Victor J Asensio; Antonio Miralles; Susana Esteban
Journal:  Curr Med Chem       Date:  2017       Impact factor: 4.530

Review 5.  Resveratrol, pterostilbene, and dementia.

Authors:  Klaus W Lange; Shiming Li
Journal:  Biofactors       Date:  2017-11-23       Impact factor: 6.113

6.  Metascape provides a biologist-oriented resource for the analysis of systems-level datasets.

Authors:  Yingyao Zhou; Bin Zhou; Lars Pache; Max Chang; Alireza Hadj Khodabakhshi; Olga Tanaseichuk; Christopher Benner; Sumit K Chanda
Journal:  Nat Commun       Date:  2019-04-03       Impact factor: 14.919

7.  SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules.

Authors:  Antoine Daina; Olivier Michielin; Vincent Zoete
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

Review 8.  Alzheimer's disease clinical and research update for health care practitioners.

Authors:  Philip A Defina; Rosemarie Scolaro Moser; Megan Glenn; Jonathan D Lichtenstein; Jonathan Fellus
Journal:  J Aging Res       Date:  2013-09-04

9.  AlzPlatform: an Alzheimer's disease domain-specific chemogenomics knowledgebase for polypharmacology and target identification research.

Authors:  Haibin Liu; Lirong Wang; Mingliang Lv; Rongrong Pei; Peibo Li; Zhong Pei; Yonggang Wang; Weiwei Su; Xiang-Qun Xie
Journal:  J Chem Inf Model       Date:  2014-03-20       Impact factor: 4.956

10.  Curcumin Downregulates GSK3 and Cdk5 in Scopolamine-Induced Alzheimer's Disease Rats Abrogating Aβ40/42 and Tau Hyperphosphorylation.

Authors:  Tushar Kanti Das; Piyali Jana; Swarup Kumar Chakrabarti; Mas R W Abdul Hamid
Journal:  J Alzheimers Dis Rep       Date:  2019-08-30
View more
  2 in total

1.  Neuroprotective Effect of Trans-Resveratrol in Mild to Moderate Alzheimer Disease: A Randomized, Double-Blind Trial.

Authors:  Jiachen Gu; Zongshan Li; Huimin Chen; Xiaomin Xu; Yongang Li; Yaxing Gui
Journal:  Neurol Ther       Date:  2021-08-16

2.  Hub Genes, Diagnostic Model, and Predicted Drugs Related to Iron Metabolism in Alzheimer's Disease.

Authors:  Xuefeng Gu; Donglin Lai; Shuang Liu; Kaijie Chen; Peng Zhang; Bing Chen; Gang Huang; Xiaoqin Cheng; Changlian Lu
Journal:  Front Aging Neurosci       Date:  2022-07-07       Impact factor: 5.702

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.