基于指纹和网络药理学的黄芪精液 Q 标记预测。

Xiaozhou Jia, Weisheng Lv, Cuijie Wei, Yueyi Liang, Jie Yang, Xuxuan Hou, Zhenyu Li, Xiangdong Chen, Mei Wei, Dongmei Sun
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引用次数: 0

摘要

简介黄芪(Astragali Complanati),又名沙苑子,是一种常用的中药材,主要用于补肾壮阳、固精缩尿等症:建立黄芪精的UPLC指纹图谱,并通过网络药理学分析黄芪精的Q标记物:首先,建立了黄芪精的UPLC指纹图谱检测方法,并通过UPLC-MS/MS鉴定了共性峰。网络药理学构建了ACS特征成分的 "成分-靶标-途径 "网络关系,并预测了潜在的Q标记物:结果:ACS的UPLC指纹图谱共鉴定出24个常见峰,UPLC-MS/MS共鉴定出12个色谱峰。共筛选出 12 个 Q 标记候选成分。通过网络药理分析,推测出杨梅素 3-O-β-D-吡喃木糖基-(1-2)-[α-L-吡喃鼠李糖基-(1-6)]-β-D-吡喃葡萄糖苷、杨梅素 3-O-β-D-吡喃木糖基(1-2)-β-D-吡喃葡萄糖苷、杨梅素 3-β-D-吡喃葡萄糖苷、大麻素、杨梅素-3-O-葡萄糖苷、白花蛇舌草苷、白花蛇舌草苷 B、白花蛇舌草苷、白花蛇舌草苷 6''-丙二酸酯、白花蛇舌草苷、鼠李糖苷 3-O-β-D-apiofuranosyl(1→2)-β-D-glucopyranoside 和 3-O-[5'''-O-阿魏酰-β-D-apiofuranosyl(1'''->2''')-β-D-吡喃葡萄糖基] 鼠李糖苷是 ACS 的 Q 标记。结论本研究建立的方法准确可靠、简单实用,可作为 ACS 质量检测的参考方法。网络药理学筛选出的 12 个 Q 标记可为 ACS 质量控制提供支持和参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Q-Marker Prediction of Astragali Complanati Semen Based on Fingerprint and Network Pharmacology.

Background: Astragali Complanati, known in Chinese as Shayuanzi, is a common medicinal material in traditional Chinese medicine, mainly used for tonifying the kidney, supporting yang, consolidating essence, reducing urine, and other diseases.

Objective: The ultra performance liquid chromatography (UPLC) fingerprint of Astragali Complanati Semen (ACS) was established, and the Q-markers of ACS were analyzed by network pharmacology.

Methods: First, a UPLC fingerprint detection method was established for ACS, and the common peaks were identified by UPLC-MS/MS. The "component-target-pathway" network relationships of characteristic components of ACS were constructed by network pharmacology, and the potential quality markers (Q-markers) were predicted.

Results: A total of 24 common peaks were identified from the UPLC fingerprint of ACS, and 12 chromatographic peaks were identified by UPLC-MS/MS. A total of 12 Q-markers candidate components were screened out. Through network pharmacological analysis, it is predicted that myricetin 3-O-β-D-xylopyranosyl-(1-2)-[α-L-rhamnopyranosyl-(1-6)]-β-D-glucopyranoside, myricetin 3-O-β-D-xylopyranosyl(1-2)-β-D-glucopyranoside, myricetin 3-β-D-glucopyranoside, cannabiscitrin, laricitrin-3-O-glucoside, leucoside, complanatoside B, complanatuside, complanatuside 6''-malonate, clycosin, rhamnocitrin 3-O-β-D-apiofuranosyl(1→2)-β-D-glucopyranoside, and 3-O-[5'''-O-feruloyl-beta-D-apiofuranosyl(1'''->2'')-beta-D-glucopyranosyl] rhamnocitrin are the Q-markers of ACS.

Conclusion: The method established in this study was accurate, reliable, simple, and practical and could be used as a reference method for ACS quality detection. Twelve Q-markers selected by network pharmacology could provide support and references for ACS QC.

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