School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 311402, PR China.
School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 311402, PR China.
J Ethnopharmacol. 2024 Jun 28;328:118047. doi: 10.1016/j.jep.2024.118047. Epub 2024 Mar 16.
The quality requirements of Corydalis Rhizoma (CR) in different producing areas are uniform, resulting in uneven efficacy. As a genuine producing area, the effective quality control of CR in Zhejiang Province (ZJ) could provide a theoretical basis for the rational application of medicinal materials.
The purpose of this study was to effectively distinguish the CR inside and outside ZJ, and provided a theoretical basis for the quality control and material basis research of ZJ CR.
The core components of ZJ CR could be identified by HPLC combined with chemometrics screening, and the quality of CR from different producing areas was evaluated by a genetic algorithm-back propagation (GA-BP) neural network. Chromaticity and near-infrared (NIR) spectroscopy were used to identify CR inside and outside ZJ, and rapid content prediction was realized. The analgesic effect of CR in different regions was compared by a zebrafish analgesic experiment. Analgesic experiments in rats and analysis of the research status of quality components were used to screen the quality control components of ZJ CR.
The contents of palmatine hydrochloride (YSBMT), dehydrocorydaline (TQZJJ), tetrahydropalmatine (YHSYS), tetrahydroberberine (SQXBJ), corydaline (YHSJS), stylopine (SQHLJ), and isoimperatorin (YOQHS) in ZJ CR were higher than those in CR from outside ZJ, but the content of protopine (YAPJ) and berberine hydrochloride (YSXBJ) was lower than that in CR from outside ZJ. YHSJS and SQHLJ could be used as the core components to identify ZJ CR. The GA-BP neural network showed that the relative importance of ZJ CR was the strongest. Chroma-content correlation analysis and the NIR qualitative model could effectively distinguish CR from inside and outside of ZJ, and the NIR quantitative model could quickly predict the content of CR from inside and outside of ZJ. Zebrafish experiments showed that ZJ, Shaanxi (SX), Henan (HN), and Sichuan (SC) CR had significant analgesic effects, while Hebei (HB) CR had no significant analgesic effect. Overall comparison, the analgesic effect of ZJ CR was better than that of CR outside ZJ. The comprehensive score of the grey correlation degree between YAPJ, YSBMT, YSXBJ, TQZJJ, YHSYS, YHSJS, SQXBJ, and SQHLJ were higher than 0.9, and the research frequency were extremely high.
The relative importance of the content and origin of most components of ZJ CR was higher than that of CR outside ZJ. The holistic analgesic effect of ZJ CR was better than that of CR outside ZJ, but slightly lower than that of SX CR. YHSJS and SQHLJ could be used as the core components to identify ZJ CR. YAPJ, YSBMT, YSXBJ, TQZJJ, YHSYS, SQXBJ, YHSJS, and SQHLJ could be used as the quality control components of ZJ CR. The multidimensional evaluation method used in this study provided a reference for the quality control and material basis research of ZJ CR.
不同产地的延胡索质量要求一致，导致疗效参差不齐。作为地道产区，浙江省（ZJ）延胡索的有效质量控制可为药用材料的合理应用提供理论依据。
本研究旨在有效区分浙产与非浙产延胡索，为浙产延胡索的质量控制和物质基础研究提供理论依据。
采用 HPLC 结合化学计量学筛选，可鉴定浙产延胡索的核心成分，并采用遗传算法-反向传播（GA-BP）神经网络评价不同产地延胡索的质量。采用色度和近红外（NIR）光谱法鉴别浙产与非浙产延胡索，实现快速含量预测。通过斑马鱼镇痛实验比较不同地区延胡索的镇痛效果。通过镇痛实验和大鼠分析质量成分研究现状，筛选浙产延胡索的质量控制成分。
浙产延胡索中盐酸巴马汀（YSBMT）、去氢紫堇碱（TQZJJ）、延胡索乙素（YHSYS）、四氢巴马汀（YHSYS）、四氢黄连碱（YHSJS）、小檗碱（SQXBJ）、原阿片碱（SQHLJ）和异欧前胡素（YOQHS）的含量均高于非浙产延胡索，而原小檗碱（YAPJ）和盐酸小檗碱（YSXBJ）的含量则低于非浙产延胡索。YHSJS 和 SQHLJ 可作为鉴定浙产延胡索的核心成分。GA-BP 神经网络显示，浙产延胡索的相对重要性最强。色-含量相关分析和 NIR 定性模型可有效区分浙产与非浙产延胡索，NIR 定量模型可快速预测浙产与非浙产延胡索的含量。斑马鱼实验表明，浙产、陕西（SX）、河南（HN）和四川（SC）延胡索均有显著的镇痛作用，而河北（HB）延胡索则无明显的镇痛作用。总体比较，浙产延胡索的镇痛效果优于非浙产延胡索。YAPJ、YSBMT、YSXBJ、TQZJJ、YHSYS、YHSJS、SQXBJ 和 SQHLJ 的灰色关联度综合评分均高于 0.9，且研究频率极高。
浙产延胡索大部分成分的含量和产地的相对重要性均高于非浙产延胡索。浙产延胡索的整体镇痛效果优于非浙产延胡索，但略低于 SX 产延胡索。YHSJS 和 SQHLJ 可作为鉴定浙产延胡索的核心成分。YAPJ、YSBMT、YSXBJ、TQZJJ、YHSYS、SQXBJ、YHSJS 和 SQHLJ 可作为浙产延胡索的质量控制成分。本研究采用的多维评价方法为浙产延胡索的质量控制和物质基础研究提供了参考。
