Rapid identification of stigmastane-type steroid saponins from Vernonia amygdalina leaf based onα-glucosidase inhibiting activity and molecular networking
作者机构：School of Food Science and Pharmaceutical EngineeringTesting&Analysis CenterNanjing Normal UniversityNanjing 210023China Jiangsu Key Laboratory of Bioactive Natural Product Research and State Key Laboratory of Natural MedicinesChina Pharmaceutical UniversityNanjing 210009China
出 版 物：《Chinese Journal of Natural Medicines》 (中国天然药物（英文版）)
年 卷 期：2022年第20卷第11期
页 面：846-853页
核心收录：
学科分类：1007[医学-药学(可授医学、理学学位)] 1006[医学-中西医结合] 1002[医学-临床医学] 10[医学] 100602[医学-中西医结合临床]
基 金：supported by the National Natural Science Foundation of China(No.81573550)。
主 题：Δ^(7,9(11))Stigmastane-type steroid saponins α-Glucosidase inhibitory activity Fragmentation pathways Diagnostic ions Molecular networking
摘 要：Steroid saponins are secondary metabolites with multiple medicinal values that are found in large quantities in natural medicines,especially Vernonia amygdalina,a famous nature medicine for the treatment of tonsillitis,diabetes,pneumonia.The current study was designed to combine molecular networking(MN)with diagnostic ions for rapid identification ofΔ^(7,9(11))stigmastane-type saponins which were theα-glucosidase inhibitory active substances in V.amygdalina.First,theα-glucosidase inhibitory activities of fiveΔ^(7,9(11))stigmastane-type steroid saponins that were previously isolated were screened,which indicated that theΔ^(7,9(11))stigmastane-type steroid saponin was one of the active constituents responsible for ameliorating diabetes.Furthermore,a strategy was proposed to identify stigmastane-type steroid saponins and verify the plausibility of derived fragmentation pathways by applying MN,MolNetEnhancer and unsupervised substructure annotation(MS2LDA).Based on this strategy,other sevenΔ^(7,9(11))stigmastane-type steroid saponins were identified from this plant.Our research provide scientific evidence for the antidiabetic potential of the steroid saponin-rich extract of V.amygdalina leaf.
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