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1.
J Ethnopharmacol ; 314: 116576, 2023 Oct 05.
Article in English | MEDLINE | ID: mdl-37142145

ABSTRACT

ETHNOPHARMACOLOGICAL RELEVANCE: Camellia nitidissima C.W.Chi (CNC), an ethnomedicine mainly distributed in Southern China's Guangxi Zhuang Autonomous Region, is known as "Panda in plants" and "Camellias Queen" due to its golden blossom. CNC has been applied as a traditional folk medicine in cancer therapy. AIM OF THE STUDY: This study utilized network pharmacology analysis combined with experimental validation to identify the substance basis and potential molecular mechanism of CNC against lung cancer. MATERIALS AND METHODS: The active ingredients of CNC were identified based on published literature. The associated potential targets of CNC in lung cancer treatment were predicted using integrated network pharmacology analysis and molecular docking. The underlying molecular mechanism of CNC in lung cancer were validated in human lung cancer cell lines. RESULTS: A total of 30 active ingredients and 53 targets of CNC were screened. An enrichment analysis of Gene Ontology (GO) revealed that the effects of CNC in lung cancer mainly involve protein binding, regulation of cell proliferation and apoptosis, and signal transduction. KEGG pathways analysis suggested that CNC might exert cancer suppression effects mainly through pathways in cancer, PI3K/AKT signaling pathway. Molecular docking revealed that CNC has high affinity for binding of EGFR, SRC, AKT1, and CCND1 to the key active ingredients including luteolin, kaempferol, quercetin, eriodictyol and 3'4-O-dimethylcedrusin. In in vitro experiments, CNC played the inhibitory roles in lung cancer cells by inducing cell apoptosis, causing G0/G1 and S cell cycle arrest, increasing intracellular ROS levels, and promoting the apoptotic proteins Bax and Caspase-3. Meanwhile, CNC also regulated the expression of core proteins EGFR, SRC, and AKT. CONCLUSION: These results comprehensively clarified the associated substance basis and underlying molecular mechanism of CNC against lung cancer, which would be contributed to develop promising anti-cancer pharmaceuticals or therapeutic approaches for lung cancer therapy.


Subject(s)
Camellia , Drugs, Chinese Herbal , Lung Neoplasms , Humans , Molecular Docking Simulation , Network Pharmacology , Phosphatidylinositol 3-Kinases , Proto-Oncogene Proteins c-akt , China , Lung Neoplasms/drug therapy , ErbB Receptors , Drugs, Chinese Herbal/pharmacology , Drugs, Chinese Herbal/therapeutic use
2.
Zhongguo Zhong Yao Za Zhi ; 47(10): 2565-2571, 2022 May.
Article in Chinese | MEDLINE | ID: mdl-35718474

ABSTRACT

The integration of habitat processing and processing of Chinese medicinal decoction pieces(hereinafter referred to as "integration") has changed the traditional processing mode and can ensure the quality of Chinese medicinal decoction pieces from the source. This paper introduced the background of integration from the connotation and denotation of integration, relevant policies and regulations, and variety development. The present situation of integration was analyzed from the existing problems and current research progress, and the development suggestions were proposed. It is considered that although the integration is in line with the development trend of the industry with the advantages of improving the quality and standardizing the management of decoction pieces, there are still some problems, such as the lack of variety selection principles and production technical specifications, imperfect quality control stan-dards in the production process, and inadequate integration of standards and supervision. Therefore, it is suggested to determine the integrated variety selection principles and variety range as soon as possible, establish relevant technical specifications, improve quality control standards in the production process, and strengthen policy guidance and supervision to promote the healthy and orderly development of integration.


Subject(s)
Drugs, Chinese Herbal , Medicine, Chinese Traditional , China , Ecosystem , Quality Control
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