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

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...

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Detalles Bibliográficos
Autores principales: Lv, Diya, Xu, Jin, Qi, Minyu, Wang, Dongyao, Xu, Weiheng, Qiu, Lei, Li, Yinghua, Cao, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Xi'an Jiaotong University 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257445/
https://www.ncbi.nlm.nih.gov/pubmed/35811628
http://dx.doi.org/10.1016/j.jpha.2021.11.006
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author Lv, Diya
Xu, Jin
Qi, Minyu
Wang, Dongyao
Xu, Weiheng
Qiu, Lei
Li, Yinghua
Cao, Yan
author_facet Lv, Diya
Xu, Jin
Qi, Minyu
Wang, Dongyao
Xu, Weiheng
Qiu, Lei
Li, Yinghua
Cao, Yan
author_sort Lv, Diya
collection PubMed
description 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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spelling pubmed-92574452022-07-08 A strategy of screening and binding analysis of bioactive components from traditional Chinese medicine based on surface plasmon resonance biosensor Lv, Diya Xu, Jin Qi, Minyu Wang, Dongyao Xu, Weiheng Qiu, Lei Li, Yinghua Cao, Yan J Pharm Anal Original Article 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. Xi'an Jiaotong University 2022-06 2021-12-01 /pmc/articles/PMC9257445/ /pubmed/35811628 http://dx.doi.org/10.1016/j.jpha.2021.11.006 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Lv, Diya
Xu, Jin
Qi, Minyu
Wang, Dongyao
Xu, Weiheng
Qiu, Lei
Li, Yinghua
Cao, Yan
A strategy of screening and binding analysis of bioactive components from traditional Chinese medicine based on surface plasmon resonance biosensor
title A strategy of screening and binding analysis of bioactive components from traditional Chinese medicine based on surface plasmon resonance biosensor
title_full A strategy of screening and binding analysis of bioactive components from traditional Chinese medicine based on surface plasmon resonance biosensor
title_fullStr A strategy of screening and binding analysis of bioactive components from traditional Chinese medicine based on surface plasmon resonance biosensor
title_full_unstemmed A strategy of screening and binding analysis of bioactive components from traditional Chinese medicine based on surface plasmon resonance biosensor
title_short A strategy of screening and binding analysis of bioactive components from traditional Chinese medicine based on surface plasmon resonance biosensor
title_sort strategy of screening and binding analysis of bioactive components from traditional chinese medicine based on surface plasmon resonance biosensor
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257445/
https://www.ncbi.nlm.nih.gov/pubmed/35811628
http://dx.doi.org/10.1016/j.jpha.2021.11.006
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