ArticleCurrent medical science2020
Active Ingredients and Mechanism of Action of Rhizoma Coptidis against Type 2 Diabetes Based on Network-Pharmacology and Bioinformatics.
Article in Current medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 15 citations in OpenAlex.
- Diabetes-compound Relationship Identification based on Complex-valued Flexible Neural Tree and Negative Sample Selection Algorithm.Current computer-aided drug design · 2025Article
- Type 2 Diabetes (T2DM) and Parkinson's Disease (PD): a Mechanistic Approach.Molecular neurobiology · 2023Review
- An Ethanol Extract ofNutrients · 2023Article
- Coptisine Attenuates Diabetes-Associated Endothelial Dysfunction through Inhibition of Endoplasmic Reticulum Stress and Oxidative Stress.Molecules (Basel, Switzerland) · 2021Article
- Pathway-based protein-protein association network to explore mechanism of α-glucosidase inhibitors from Scutellaria baicalensis Georgi against type 2 diabetes.IET systems biology · 2021Article
- A Network Pharmacology Study to Uncover the Multiple Molecular Mechanism of the Chinese Patent Medicine Toujiequwen Granules in the Treatment of Corona Virus Disease 2019 (COVID-19).Current medical science · 2021Article
- Berberine Inhibits Gluconeogenesis in Skeletal Muscles and Adipose Tissues in Streptozotocin-induced Diabetic Rats via LKB1-AMPK-TORC2 Signaling Pathway.Current medical science · 2020Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A pharmacological network of "component/target/pathway" for Rhizoma coptidis against type 2 diabetes (T2D) was established by network-pharmacology, and the active components of Rhizoma coptidis and its mechanism were explored. A literature-based and database study of the components of Rhizoma coptidis was carried out and screened by ADME parameters. The targets of Rhizoma coptidis were predicted by the ligand similarity method. Related pathways were analyzed with databases, and software was used to construct a "component/target/path" network. The mechanism was further confirmed by GEO database with R software. A total of 12 active components were screened from Rhizoma coptidis, involving 57 targets including MAPK1, STAT3, INSR, and 38 signaling pathways were associated with T2D. Related signaling pathways included essential pathways for T2D such as insulin resistance, and pathways that had indirect effect on T2D. It was suggested that Rhizoma coptidis may exert its effects against T2D through multi-component, multi-target, and multi-pathway forms.
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