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通过质谱分子网络探索代谢物组成与中药所赋予的寒/热属性之间的关系——一项初步研究。

Exploring the relationship between metabolite composition and the cold/hot properties ascribed in traditional Chinese medicine by mass spectral molecular networking - A pilot study.

作者信息

Su Chun-Han, Cheng Yu-Chieh, Lai Kuei-Hung, Chang Yu-Chia, Sun Chi-Hui, Tu Po-Wen, Lin Ching-Chih, Hwang Tsong-Long, Yang Yu-Liang

机构信息

Agricultural Biotechnology Research Center, Academia Sinica, Taipei 115201, Taiwan.

Research Center for Chinese Herbal Medicine, Graduate Institute of Health Industry Technology, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan 333324, Taiwan.

出版信息

J Food Drug Anal. 2022 Sep 15;30(3):402-416. doi: 10.38212/2224-6614.3425.

Abstract

Traditional Chinese medicine (TCM) has been applied to improve human health for millennia. In the TCM system, "medicinal property" ( yao xing; hot and cold properties) is a core concept used to describe the influences of medicinal materials on human physiological conditions, and metabolites are believed to be one of the major ingredients of TCMs that affect their medicinal property. However, due to a lack of comprehensive analyses of TCM metabolomes, information about the relationships between TCM metabolite composition and medicinal property remains limited. In this pilot study, a mass spectral molecular networking-based platform was established and applied to systematically profile the metabolome of 24 TCMs with various medicinal properties. The molecular networks were built based on the liquid chromatography-tandem mass spectrometry (LC-MS/MS) data from 50% EtOH extracts of 24 TCMs. The results showed that various classes of metabolites were clustered in the molecular networks, and the potential medicinal property-associated molecular families were filtered by screening the medicinal property and the diversity of TCM sources. For example, some specific types of flavonoids were identified in the representative cold-property (han xing) molecular families. In contrast, due to the limited sample size, the representative and universal hot-property (re xing) molecular family has not been well revealed. In summary, this study provides methodology and information on the potential relationships between the metabolite composition and the concept of medicinal property in TCM. Furthermore, the results can serve as a foundation for mass spectral molecular networking-based analysis of TCM metabolomes, facilitating TCM research and development.

摘要

几千年来,中医一直被用于改善人类健康。在中医体系中,“药性”(药 性;寒热属性)是一个核心概念,用于描述药材对人体生理状况的影响,而代谢物被认为是影响中药药性的主要成分之一。然而,由于缺乏对中药代谢组的全面分析,关于中药代谢物组成与药性之间关系的信息仍然有限。在这项初步研究中,建立了一个基于质谱分子网络的平台,并将其应用于系统分析24种具有不同药性的中药的代谢组。分子网络是基于24种中药50%乙醇提取物的液相色谱-串联质谱(LC-MS/MS)数据构建的。结果表明,各类代谢物在分子网络中聚类,通过筛选药性和中药来源的多样性,筛选出了与潜在药性相关的分子家族。例如,在具有代表性的寒性(寒性)分子家族中鉴定出了一些特定类型的黄酮类化合物。相比之下,由于样本量有限,具有代表性和普遍性的热性(热性)分子家族尚未得到很好的揭示。总之,本研究提供了关于中药代谢物组成与药性概念之间潜在关系的方法和信息。此外,研究结果可为基于质谱分子网络的中药代谢组分析提供基础,促进中药研发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51a1/9635908/edd132358164/jfda-30-03-402f1.jpg

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