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A strategy of screening and binding analysis of bioactive components from traditional Chinese medicine based on surface plasmon resonance biosensor / 药物分析学报
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-955463
Responsible library: WPRO
ABSTRACT
Elucidating the active components of traditional Chinese medicine(TCM)is essential for understanding the mechanisms of TCM and promote its rational use as well as TCM-derived drug development.Recent studies have shown that surface plasmon resonance(SPR)technology is promising in this field.In the present study,we propose an SPR-based integrated strategy to screen and analyze the major active components of TCM.We used Radix Paeoniae Alba(RPA)as an example to identify the compounds that can account for its anti-inflammatory mechanism via tumor necrosis factor receptor type 1(TNF-R1).First,RPA extraction was analyzed using an SPR-based screening system,and the potential active in-gredients were collected,enriched,and identified as paeoniflorin and paeonol.Next,the affinity con-stants of paeoniflorin and paeonol were determined as 4.9 and 11.8 μM,respectively.Then,SPR-based competition assays and molecular docking were performed to show that the two compounds could compete with tumor necrosis factor-α(TNF-α)while binding to the subdomain 1 site of TNF-R1.Finally,in biological assays,the two compounds suppressed cytotoxicity and apoptosis induced by TNF-α in the L929 cell line.These findings prove that SPR technology is a useful tool for determining the active in-gredients of TCM at the molecular level and can be used in various aspects of drug development.The SPR-based integrated strategy is reliable and feasible in TCM studies and will shed light on the eluci-dation of the pharmacological mechanism of TCM and facilitate its modernization.

Full text: Available Database: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Pharmaceutical Analysis Year: 2022 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Pharmaceutical Analysis Year: 2022 Document type: Article
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