From metabolomic analysis to quality assessment and biosynthetic insight in traditional Chinese medicine: Mulberry tree as a case study

化学 止痛药 传统医学 醋酸 代谢组学 化学成分 立体化学 色谱法 药理学 生物化学 生物 医学
作者
Meng-Yin Tian,Yanan Wang,Anqi Lu,Qianru Zhang,Xin Li,Ning Zhang,Jianjun Zhang,Sujuan Wang
出处
期刊:Phytochemical Analysis [Wiley]
卷期号:33 (4): 644-653 被引量:2
标识
DOI:10.1002/pca.3117
摘要

Ramulus Mori (RM, Sangzhi) and Cortex Mori (CM, Sangbaipi) both come from the Chinese medicinal plant mulberry tree. CM is usually used to relieve cough, while RM is usually used to treat pain. There are no studies on the quality control of RM and CM based on their analgesic and anti-inflammatory constituents associated with their traditional use. The chemical profiles of CM and RM were confusing. Some CM had similar profiles to RM, but some did not.We aimed to reveal the chemical differences between RM and CM and to evaluate their quality.Their chemical differences were studied using metabolomic analysis based on UHPLC-ESI-MS data. The contents of five quality marker candidates were determined by UHPLC-PDA. The analgesic activities of morusin and kuwanon C were assessed by an acetic acid-induced writhing test.CM was characterized by chemical diversity, whereas RM had good homogeneity. Four groups of CM were classified based on their chemicals. The chemical profiles of CM group 4 were more similar to that of RM. Eighteen putative features were identified based on an MS-Finder search and fragmentation rules. Content limits for four quality markers with anti-inflammatory or analgesic activities were proposed for RM. Furthermore, a possible biosynthetic relationship between kuwanon C, kuwanon G, and morusin was hypothesized based on the high Pearson coefficient between kuwanon G and morusin.The obtained results may be useful in the evaluation of RM and CM and afford insight into the biosynthetic pathway of Diels-Alder adducts in Morus.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
yu发布了新的文献求助10
2秒前
uu发布了新的文献求助10
3秒前
orixero应助能干的鞅采纳,获得10
4秒前
李阔完成签到,获得积分20
4秒前
nsma完成签到 ,获得积分10
6秒前
6秒前
pumpkin完成签到,获得积分10
7秒前
梦雨星辰完成签到,获得积分10
7秒前
Jacob发布了新的文献求助10
7秒前
8秒前
皮凡发布了新的文献求助10
8秒前
天上人间发布了新的文献求助10
10秒前
scxl2000完成签到,获得积分10
12秒前
13秒前
13秒前
wind2631发布了新的文献求助10
14秒前
科研通AI6.2应助研友_8DWw0Z采纳,获得10
14秒前
默顿的笔记本完成签到,获得积分10
15秒前
15秒前
apollo2002发布了新的文献求助10
16秒前
小田发布了新的文献求助10
17秒前
XIXI完成签到 ,获得积分10
18秒前
科研通AI6.2应助秋水采纳,获得10
19秒前
20秒前
天上人间完成签到,获得积分10
21秒前
21秒前
22秒前
能干的鞅发布了新的文献求助10
22秒前
Greg发布了新的文献求助10
24秒前
wind2631完成签到,获得积分10
26秒前
快乐渊思发布了新的文献求助10
27秒前
所所应助apollo2002采纳,获得10
28秒前
30秒前
34秒前
星心完成签到,获得积分10
36秒前
Nobody完成签到,获得积分10
37秒前
37秒前
37秒前
37秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
适配Micro-LED色转换的高兼容性量子点负性光刻胶制备与工艺研究 500
Direct and Iterative Linear System Solvers 500
Vander's Renal Physiology第10版 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7309628
求助须知:如何正确求助?哪些是违规求助? 8926692
关于积分的说明 18919222
捐赠科研通 6971729
什么是DOI,文献DOI怎么找? 3212979
关于科研通互助平台的介绍 2381426
邀请新用户注册赠送积分活动 2190984