Evidence map›Paper›PMID 35523810›Full record

ArticleScientific reports2022

Network pharmacology of iridoid glycosides from Eucommia ulmoides Oliver against osteoporosis.

Ting Wang, Liming Fan, Shuai Feng, Xinli Ding, Xinxin An, Jiahuan Chen, Minjuan Wang, Xifeng Zhai, Yang Li

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
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  10. Research Progress ofCurrent pharmaceutical biotechnology · 2024
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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.

Ting WangBiomedicine Key Laboratory of Shaanxi Province, College of Life Sciences, Northwest University, Xi'an, 710069, China.
Liming FanBiomedicine Key Laboratory of Shaanxi Province, College of Life Sciences, Northwest University, Xi'an, 710069, China.
Shuai FengBiomedicine Key Laboratory of Shaanxi Province, College of Life Sciences, Northwest University, Xi'an, 710069, China.
Xinli DingBiomedicine Key Laboratory of Shaanxi Province, College of Life Sciences, Northwest University, Xi'an, 710069, China.
Xinxin AnBiomedicine Key Laboratory of Shaanxi Province, College of Life Sciences, Northwest University, Xi'an, 710069, China.
Jiahuan ChenBiomedicine Key Laboratory of Shaanxi Province, College of Life Sciences, Northwest University, Xi'an, 710069, China.
Minjuan WangPhysical and Chemical Laboratory, Shaanxi Provincial Center for Disease Control and Prevention, Xi'an, 710054, China.
Xifeng ZhaiSchool of Pharmaceutical Sciences, Xi'an Medical University, Xi'an, 710021, China.
Yang LiBiomedicine Key Laboratory of Shaanxi Province, College of Life Sciences, Northwest University, Xi'an, 710069, China. ly2011@nwu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eucommia ulmoides Oliver is one of the commonly used traditional Chinese medicines for the treatment of osteoporosis, and iridoid glycosides are considered to be its active ingredients against osteoporosis. This study aims to clarify the chemical components and molecular mechanism of iridoid glycosides of Eucommia ulmoides Oliver in the treatment of osteoporosis by integrating network pharmacology and molecular simulations. The active iridoid glycosides and their potential targets were retrieved from text mining as well as Swiss Target Prediction, TargetNet database, and STITCH databases. At the same time, DisGeNET, GeneCards, and Therapeutic Target Database were used to search for the targets associated with osteoporosis. A protein-protein interaction network was built to analyze the interactions between targets. Then, DAVID bioinformatics resources and R 3.6.3 project were used to carry out Gene Ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis. Moreover, interactions between active compounds and potential targets were investigated through molecular docking, molecular dynamic simulation, and binding free energy analysis. The results showed that a total of 12 iridoid glycosides were identified as the active iridoid glycosides of Eucommia ulmoides Oliver in the treatment of osteoporosis. Among them, aucubin, reptoside, geniposide and ajugoside were the core compounds. The enrichment analysis suggested iridoid glycosides of Eucommia ulmoides Oliver prevented osteoporosis mainly through PI3K-Akt signaling pathway, MAPK signaling pathway and Estrogen signaling pathway. Molecular docking results indicated that the 12 iridoid glycosides had good binding ability with 25 hub target proteins, which played a critical role in the treatment of osteoporosis. Molecular dynamic and molecular mechanics Poisson-Boltzmann surface area results revealed these compounds showed stable binding to the active sites of the target proteins during the simulations. In conclusion, our research demonstrated that iridoid glycosides of Eucommia ulmoides Oliver in the treatment of osteoporosis involved a multi-component, multi-target and multi-pathway mechanism, which provided new suggestions and theoretical support for treating osteoporosis.

Indexed as

Drugs, Chinese HerbalEucommiaceaeOsteoporosisIridoid GlycosidesMolecular Docking SimulationNetwork PharmacologyPhosphatidylinositol 3-KinasesDrugs, Chinese HerbalIridoid GlycosidesPhosphatidylinositol 3-Kinases

Identifiers

PMID35523810
PMCPMC9076851

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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.