Evidence map›Paper›PMID 35702063›Full record

ArticleDrug design, development and therapy2022

Network Pharmacology Analysis and Experimental Validation to Investigate the Mechanism of Total Flavonoids of Rhizoma Drynariae in Treating Rheumatoid Arthritis.

Guang-Yao Chen, Jing Luo, Yi Liu, Xin-Bo Yu, Xiao-Yu Liu, Qing-Wen Tao

Open access · goldAbstract read
In one paragraph

Article in Drug design, development and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 35 citations in OpenAlex.

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  14. Multi-target mechanism ofSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
    Article
  15. Article
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  18. Network Pharmacology-Based Strategy to Investigate the Mechanisms ofEvidence-based complementary and alternative medicine : eCAM · 2022
    Article
  19. Chondroprotective Effects of Gubitong Recipe via Inhibiting Excessive Mitophagy of Chondrocytes.Evidence-based complementary and alternative medicine : eCAM · 2022
    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

6 authors at 2 institutions in 1 country.

Guang-Yao Chen *Graduate School, Beijing University of Chinese Medicine, Beijing, 100029, People's Republic of China.ORCID 0000-0002-6004-289X
Jing Luo *Department of TCM Rheumatology, China-Japan Friendship Hospital, Beijing, 100029, People's Republic of China.ORCID 0000-0002-2454-2168
Yi Liu *Humanities School, Beijing University of Chinese Medicine, Beijing, 100029, People's Republic of China.ORCID 0000-0003-3970-4606
Xin-Bo YuGraduate School, Beijing University of Chinese Medicine, Beijing, 100029, People's Republic of China.ORCID 0000-0003-2366-5147
Xiao-Yu LiuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, People's Republic of China.ORCID 0000-0002-9415-1197
Qing-Wen TaoDepartment of TCM Rheumatology, China-Japan Friendship Hospital, Beijing, 100029, People's Republic of China.
Beijing University of Chinese Medicine · CNChina-Japan Friendship Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The study aimed to explore the mechanism of total flavonoids of Rhizoma Drynariae (TFRD) in the treatment of rheumatoid arthritis (RA) based on network pharmacology and experimental validation. Methods: The active components of TFRD were identified from TCMSP and TCMID databases. Relevant targets of the active compounds of TFRD and RA-related targets were predicted by public databases online. A component-target (C-T) regulatory network was constructed by Cytoscape. The genes of TFRD regulating RA were imported into STRING database to construct a protein-protein interaction (PPI) network in order to predict the key targets. KEGG enrichment analysis was performed to predict the crucial mechanism of TFRD against RA. The active components of TFRD underwent molecular docking with the key proteins. Collagen-induced arthritis (CIA) model of rats and inflammatory factors-stimulated fibroblast-like synoviocytes were used in vivo and in vitro to validate the efficacy and predicted critical mechanisms of TFRD. Results: Network Pharmacology analysis revealed that TFRD had 14 active compounds, corresponding to 213 targets, and RA related to 2814 genes. There were 137 intersection genes between TFRD and RA. KEGG indicated that therapeutic effects of TFRD on RA involves T cell receptor signaling pathway, Th17 cell differentiation, IL-17 signaling pathway, TNF signaling pathway, MAPK signaling pathway and PI3K/AKT signaling pathway. In vivo experiments suggested TFRD can alleviate the inflammatory response, joint swelling and synovial abnormality of CIA rats. TFRD contributed to the decrease of Th17 cells and the down-regulated secretion of IL-17A and TNF-α of activated lymphocyte in CIA model. In vitro experiments confirmed TFRD can effectively inhibit the inflammatory response of fibroblast-like synoviocytes and suppress the abnormal activation of MAPK, PI3K/AKT and NFκB signaling pathways. Conclusion: The treatment of RA with TFRD is closely related to inhibiting Th17 differentiation and inflammatory response of synoviocytes.

Indexed as

Arthritis, ExperimentalArthritis, RheumatoidDrugs, Chinese HerbalPolypodiaceaeAnimalsFlavonoidsMolecular Docking SimulationNetwork PharmacologyPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktRatsDrugs, Chinese HerbalFlavonoidsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktinflammatory responsenetwork pharmacologyRheumatoid arthritisT cell differentiationtotal flavonoids of Rhizoma Drynariae

Identifiers

PMID35702063
PMCPMC9188779
OpenAlexW4285740310

What OpenQuestion holds

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LicenceCC BY-NC
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.