Evidence map›Paper›PMID 35087596›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Elucidation of Potential Targets of San-Miao-San in the Treatment of Osteoarthritis Based on Network Pharmacology and Molecular Docking Analysis.

Man Chu, Ting Gao, Xu Zhang, Wulin Kang, Yu Feng, Zhe Cai, Ping Wu

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 12% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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

7 authors at 5 institutions in 2 countries.

Man ChuFaulty of Medical Technology, Shaanxi University of Chinese Medicine, Xianyang, China.
Ting GaoDepartment of Pharmaceutics, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.ORCID https://orcid.org/0000-0002-0485-4076
Xu ZhangFaulty of Medical Technology, Shaanxi University of Chinese Medicine, Xianyang, China.
Wulin KangThe Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China.
Yu FengDepartment of Sports Medicine and Arthroscopy, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.ORCID https://orcid.org/0000-0002-6661-0202
Zhe CaiDepartment of Allergy, Immunology and Rheumatology, Guangzhou Women and Children's Medical Center, Guangzhou, China.ORCID https://orcid.org/0000-0001-9853-7380
Ping WuDepartment of Allergy, Immunology and Rheumatology, Guangzhou Women and Children's Medical Center, Guangzhou, China.ORCID https://orcid.org/0000-0002-8499-9290
Affiliated Hospital of Shaanxi University of Chinese Medicine · CNNingxia Medical University · CNChinese University of Hong Kong · HKGuangzhou Women and Children Medical Center · CNShaanxi University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo examine the potential therapeutic targets of Chinese medicine formula San-Miao-San (SMS) in the treatment of osteoarthritis (OA), we analyzed the active compounds of SMS and key targets of OA and investigated the interacting pathways using network pharmacological approaches and molecular docking analysis.

methodsThe active compounds of SMS and OA-related targets were searched and screened by TCMSP, DrugBank, Genecards, OMIM, DisGeNet, TTD, and PharmGKB databases. Venn analysis and PPI were performed for evaluating the interaction of the targets. The topological analysis and molecular docking were used to confirm the subnetworks and binding affinity between active compounds and key targets, respectively. The GO and KEGG functional enrichment analysis for all targets of each subnetwork were conducted.

resultsA total of 57 active compounds and 203 targets of SMS were identified by the TCMSP and DrugBank database, while 1791 OA-related targets were collected from the Genecards, OMIM, DisGeNet, TTD, and PharmGKB databases. By Venn analysis, 108 intersection targets between SMS targets and OA targets were obtained. Most of these intersecting targets involve quercetin, kaempferol, and wogonin. Moreover, intersecting targets identified by PPI analysis were introduced into Cytoscape plug-in CytoNCA for topological analysis. Hence, nine key targets of SMS for OA treatment were obtained. Furthermore, the potential binding conformations between active compounds and key targets were found through molecular docking analysis. According to the DAVID enrichment analysis, the main biological processes of SMS in the treatment of OA include oxidative stress, response to reactive oxygen species, and apoptotic signaling pathways. Finally, we found wogonin, the key compound in SMS, might play a pivotal role on Toll-like receptor, IL-17, TNF, osteoclast differentiation, and apoptosis signaling pathways through interacting with four key targets.

conclusionsTherefore, this study elucidated the potential active compounds and key targets of SMS in the treatment of OA based on network pharmacology.

Identifiers

PMID35087596
PMCPMC8789436
OpenAlexW4206843931

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.