Volume 12 Issue 3
Jun.  2022
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Diya Lv, Jin Xu, Minyu Qi, Dongyao Wang, Weiheng Xu, Lei Qiu, Yinghua Li, Yan Cao. A strategy of screening and binding analysis of bioactive components from traditional Chinese medicine based on surface plasmon resonance biosensor[J]. Journal of Pharmaceutical Analysis, 2022, 12(3): 500-508. doi: 10.1016/j.jpha.2021.11.006
Citation: Diya Lv, Jin Xu, Minyu Qi, Dongyao Wang, Weiheng Xu, Lei Qiu, Yinghua Li, Yan Cao. A strategy of screening and binding analysis of bioactive components from traditional Chinese medicine based on surface plasmon resonance biosensor[J]. Journal of Pharmaceutical Analysis, 2022, 12(3): 500-508. doi: 10.1016/j.jpha.2021.11.006

A strategy of screening and binding analysis of bioactive components from traditional Chinese medicine based on surface plasmon resonance biosensor

doi: 10.1016/j.jpha.2021.11.006
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This work was supported by grants from the National Natural Science Foundation of China (Grant Nos.: 82003711 and 81703526) and the Shanghai Sailing Program (Grant No.: 19YF1459400).

  • Received Date: Apr. 12, 2021
  • Accepted Date: Nov. 29, 2021
  • Rev Recd Date: Oct. 11, 2021
  • Publish Date: Dec. 01, 2021
  • 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 ingredients were collected, enriched, and identified as paeoniflorin and paeonol. Next, the affinity constants 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 ingredients 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 elucidation of the pharmacological mechanism of TCM and facilitate its modernization.
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