School of Food Science and Pharmaceutical Engineering, Testing & Analysis Center, Nanjing Normal University, Nanjing 210023, China.
Jiangsu Key Laboratory of Bioactive Natural Product Research and State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China.
Chin J Nat Med. 2022 Nov;20(11):846-853. doi: 10.1016/S1875-5364(22)60235-8.
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 of Δ stigmastane-type saponins which were the α-glucosidase inhibitory active substances in V. amygdalina. First, the α-glucosidase inhibitory activities of five Δ stigmastane-type steroid saponins that were previously isolated were screened, which indicated that the Δ 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 seven Δ 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.
甾体皂苷是具有多种药用价值的次生代谢产物,在天然药物中大量存在,特别是在治疗扁桃体炎、糖尿病、肺炎的著名天然药物垂盆草中。本研究旨在将分子网络(MN)与诊断离子相结合,快速鉴定垂盆草中具有α-葡萄糖苷酶抑制活性的Δ-麦角甾烷型甾体皂苷。首先,筛选了之前分离得到的五种Δ-麦角甾烷型甾体皂苷的α-葡萄糖苷酶抑制活性,表明Δ-麦角甾烷型甾体皂苷是改善糖尿病的有效成分之一。此外,通过应用 MN、MolNetEnhancer 和无监督亚结构注释(MS2LDA),提出了一种鉴定麦角甾烷型甾体皂苷并验证衍生裂解途径合理性的策略。基于该策略,从该植物中鉴定出其他七种Δ-麦角甾烷型甾体皂苷。本研究为垂盆草叶中富含甾体皂苷的提取物的降血糖潜力提供了科学依据。