Prediction of Rhizoma Drynariae Targets in the Treatment of Osteonecrosis of the Femoral Head based on Network Pharmacology and Experimental Verification.

ADME ONFH PPI network Rhizoma drynariae network pharmacology osteonecrosis

Journal

Current computer-aided drug design
ISSN: 1875-6697
Titre abrégé: Curr Comput Aided Drug Des
Pays: United Arab Emirates
ID NLM: 101265750

Informations de publication

Date de publication:
2023
Historique:
received: 27 04 2022
revised: 21 08 2022
accepted: 06 09 2022
pubmed: 7 10 2022
medline: 17 3 2023
entrez: 6 10 2022
Statut: ppublish

Résumé

Rhizoma drynariae, a classic prescription in traditional Chinese medicine, has long been used for the treatment of osteonecrosis of the femoral head (ONFH), but its potential targets and molecular mechanisms remain to be further explored. This study aims to explore the mechanism of Rhizoma drynariae in ONFH treatment via network pharmacology and in vitro experiments. Targets of Rhizoma drynariae and ONFH were predicted using relevant databases, and intersection analysis was conducted to screen for shared targets. A PPI network of the shared targets was built using STRING to identify the key targets. Functional enrichment analyses of Gene Ontology and KEGG pathway data were carried out using R software. The compound-target-pathway network was constructed for Rhizoma Drynariae in the treatment with ONFH using Cytoscape 3.9.0. Cell proliferation was assessed using CCK8 and apoptosis was detected using (Propidium Iodide) PI staining and western blotting. This study depicts the interrelationship of the bioactive compounds of Rhizoma drynariae with ONFH-associated signaling pathways and target receptors and is a potential reagent for ONFH treatment. Based on a network pharmacology analysis and in vitro experiment, we predicted and validated the active compounds and potential targets of Rhizoma drynariae, provide valuable evidence of Rhizoma Drynariae in future ONFH treatment.

Sections du résumé

BACKGROUND BACKGROUND
Rhizoma drynariae, a classic prescription in traditional Chinese medicine, has long been used for the treatment of osteonecrosis of the femoral head (ONFH), but its potential targets and molecular mechanisms remain to be further explored.
OBJECTIVE OBJECTIVE
This study aims to explore the mechanism of Rhizoma drynariae in ONFH treatment via network pharmacology and in vitro experiments.
METHODS METHODS
Targets of Rhizoma drynariae and ONFH were predicted using relevant databases, and intersection analysis was conducted to screen for shared targets. A PPI network of the shared targets was built using STRING to identify the key targets. Functional enrichment analyses of Gene Ontology and KEGG pathway data were carried out using R software. The compound-target-pathway network was constructed for Rhizoma Drynariae in the treatment with ONFH using Cytoscape 3.9.0. Cell proliferation was assessed using CCK8 and apoptosis was detected using (Propidium Iodide) PI staining and western blotting.
RESULTS RESULTS
This study depicts the interrelationship of the bioactive compounds of Rhizoma drynariae with ONFH-associated signaling pathways and target receptors and is a potential reagent for ONFH treatment.
CONCLUSION CONCLUSIONS
Based on a network pharmacology analysis and in vitro experiment, we predicted and validated the active compounds and potential targets of Rhizoma drynariae, provide valuable evidence of Rhizoma Drynariae in future ONFH treatment.

Identifiants

pubmed: 36201277
pii: CAD-EPUB-126820
doi: 10.2174/1573409918666221006122426
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

13-23

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Yong Zhang (Y)

Department of Trauma Orthopedics, Ningbo No 6 Hospital, Ningbo, 315000, People's Republic of China.
Tongji University School of Medicine, Shanghai, 20065, People's Republic of China.

Qiuyan Weng (Q)

Department of Neurology, The Affiliated Hospital of the Medical School of Ningbo University, Ningbo, 315211, People's Republic of China.

Tongzhou Hu (T)

Department of Orthopedics, Ningbo Fourth Hospital, Ningbo, 31570, People's Republic of China.

Xiaohan Shen (X)

Ningbo Diagnostic Pathology Center, Shanghai Cancer Center, Ningbo Pathology Center, Ningbo, 315040, People's Republic of China.
Ningbo Medical Center, Lihuili Hospital, Ningbo, 315040, People's Republic of China.

Jinming Han (J)

Department of Spine, Ningbo No. 6 Hospital, Ningbo, 315000, People's Republic of China.

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Classifications MeSH