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基于计算机分子网络注释传播的去重复技术从滇丁香中靶向分离神经保护型二苯甲酰基新木脂素和木脂素。

Targeted Isolation of Neuroprotective Dicoumaroyl Neolignans and Lignans from Sageretia theezans Using in Silico Molecular Network Annotation Propagation-Based Dereplication.

机构信息

College of Pharmacy and Research Institute of Pharmaceutical Sciences , Seoul National University , Seoul 08826 , Republic of Korea.

Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences , University of California, San Diego , La Jolla , California 92093 , United States.

出版信息

J Nat Prod. 2018 Aug 24;81(8):1819-1828. doi: 10.1021/acs.jnatprod.8b00292. Epub 2018 Aug 14.

Abstract

The integration of LC-MS/MS molecular networking and in silico MS/MS fragmentation is an emerging method for dereplication of natural products. In the present study, a targeted isolation of natural products using a new in silico-based annotation tool named Network Annotation Propagation (NAP) is described. NAP improves accuracy of in silico fragmentation analyses by reranking candidate structures based on the network topology from MS/MS-based molecular networking. Annotation for the MS/MS spectral network of the Sageratia theezans twig extract was performed using NAP, and most molecular families within the network, including the known triterpenoids 1-7, could be putatively annotated, without relying on any previous reports of molecules from this species. Based on the in silico dereplication results, molecules were prioritized for isolation. In total, six dicoumaroyl 8- O-4' neolignans (8-13) and three dicoumaroyl lignans (14-16) were isolated from the twigs of S. theezans and structurally characterized by spectroscopic analyses. Isolates were evaluated for their neuroprotective activity, and compounds 14-16 showed potent protective effects against glutamate-induced oxidative stress in mouse HT22 cells at a concentration of 12.5 μM.

摘要

LC-MS/MS 分子网络与计算 MS/MS 碎裂的整合是一种新兴的天然产物去复性方法。本研究描述了一种使用名为网络注释传播(NAP)的新型基于计算的注释工具进行天然产物靶向分离的方法。NAP 通过基于 MS/MS 分子网络的网络拓扑对候选结构进行重新排序,从而提高了计算碎裂分析的准确性。使用 NAP 对 Sageratia theezans 小枝提取物的 MS/MS 光谱网络进行注释,并且可以推测出网络中包括已知三萜 1-7 在内的大多数分子家族,而无需依赖该物种以前报道的任何分子。基于计算去复性结果,对分离的分子进行了优先级排序。总共从小枝中分离出了六种二咖啡酰基 8-O-4'新木脂素(8-13)和三种二咖啡酰基木脂素(14-16),并通过光谱分析进行了结构表征。对分离物的神经保护活性进行了评估,化合物 14-16 在 12.5 μM 浓度下对谷氨酸诱导的小鼠 HT22 细胞氧化应激显示出很强的保护作用。

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