01 August 2019 : Hypothesis
Network Pharmacology-Based Pharmacological Mechanism of the Chinese Medicine Rhizoma drynariae Against OsteoporosisDonghao Gan1ABCDEF, Xiaowei Xu1BCD, Deqiang Chen12CEF, Peng Feng1BDF, Zhanwang Xu13ADG*
Med Sci Monit 2019; 25:5700-5716
Rhizoma drynariae is the main traditional Chinese medicine used for the treatment of osteoporosis, but its anti-osteoporotic targeting mechanism has not been fully elucidated due to the complexity of its active ingredients. In this study, the pharmacological mechanism of action of Rhizoma drynariae against osteoporosis was studied by integrating pharmacological concepts. The pharmacokinetic characteristics of selected major active constituents of Rhizoma drynariae and the SMILES structural similarity were used to predict related targets. A literature search was conducted to identify known osteoporosis treatment targets, which were then combined with the predicted targets to construct the direct or indirect target interaction network map of Rhizoma drynariae against osteoporosis. Finally, data on the key targets of the interactions, ranked according to relevant node parameters obtained through pathway enrichment analysis and screening of key targets and active ingredients of Rhizoma drynariae, were used to perform molecular docking simulation. We screened 16 active ingredients of Rhizoma drynariae, and 7 key targets with direct or indirect effects with a high frequency were obtained. These main pathways were found to play important roles in the PI3k-akt signaling pathway, osteoclast differentiation, Wnt signaling pathway, and estrogen signaling pathway. Molecular docking showed that most active ingredients of Rhizoma drynariae had strong binding efficiency with key targets. Based on network pharmacology, we conclude that Rhizoma drynariae plays an anti-osteoporotic role by directly or indirectly targeting multiple major signaling pathways and influencing the proliferation and differentiation of multiple types of cells.
Keywords: Molecular Mechanisms of Pharmacological Action, Osteoporosis, Protein Interaction Maps, Computer Simulation, Databases, Factual, Drug development, Drugs, Chinese Herbal, Molecular Docking Simulation, Pharmacokinetics, Pharmacological and Toxicological Phenomena, Polypodiaceae
01 September 2023 : EditorialEditorial: A Rapid Global Increase in COVID-19 is Due to the Emergence of the EG.5 (Eris) Subvariant of Omicron SARS-CoV-2
Med Sci Monit 2023; 29:e942244
21 Sep 2023 : Clinical ResearchThe Impact of Implementing the Vortex Approach on Airway Management Performance in Stressed Medical Student...
Med Sci Monit In Press; DOI: 10.12659/MSM.940372
20 Sep 2023 : Clinical ResearchA Retrospective Study to Compare Pharyngeal Anatomical Changes Measured Before and After Treatment for Malo...
Med Sci Monit In Press; DOI: 10.12659/MSM.941749
20 Sep 2023 : Database AnalysisComparative Finite Element Analysis of Endocrowns and Traditional Restorations for Endodontically Treated M...
Med Sci Monit In Press; DOI: 10.12659/MSM.941314
Most Viewed Current Articles
13 Nov 2021 : Clinical ResearchAcceptance of COVID-19 Vaccination and Its Associated Factors Among Cancer Patients Attending the Oncology ...
Med Sci Monit 2021; 27:e932788
30 Dec 2021 : Clinical ResearchRetrospective Study of Outcomes and Hospitalization Rates of Patients in Italy with a Confirmed Diagnosis o...
Med Sci Monit 2021; 27:e935379
08 Mar 2022 : Review articleA Review of the Potential Roles of Antioxidant and Anti-Inflammatory Pharmacological Approaches for the Man...
Med Sci Monit 2022; 28:e936292