Suppr超能文献

植物L.代谢组的生物勘探:植物代谢组学中的快速去重复和注释工作流程

Bioprospecting the Metabolome of Plant L.: A Fast Dereplication and Annotation Workflow in Plant Metabolomics.

作者信息

Bhattarai Keshab, Paudel Babita, Dahal Sujan, Yadav Parasmani, Aryal Niraj, Baral Bikash, Bhattarai Hari Datta

机构信息

Center for Natural and Applied Sciences (CENAS), Kathmandu, Nepal.

Institute of Biological Resources, Kathmandu, Nepal.

出版信息

Evid Based Complement Alternat Med. 2022 Apr 21;2022:3710791. doi: 10.1155/2022/3710791. eCollection 2022.

Abstract

Plants have a pivotal role in ethnopharmacology, and their preparations are in use globally. However, getting down to the structure requires an effective workflow and mostly requires a time-consuming isolation process. Although bioassay-guided approaches are widely popular, they face a massive problem of rediscovery in recent times, especially in plant metabolomics. Mass spectrometry (MS)-based approach incorporated molecular networking via Global Natural Product Social Molecular Networking (GNPS) is considered here for the benefit of the fast screening of secondary metabolites. This study uses direct crude extracts obtained from various parts of the plant for the characterization of secondary metabolites. The crude extract of the plant initially displayed promising antioxidant and anti-diabetic activities. Then, we employed mass spectrometry-based dereplication to identify the phytochemical components in the extracts. This led to the discovery of 7 unknown and 17 known secondary metabolites, which were further verified with the SIRIUS 4 platform, a computational tool for the annotation of compounds using tandem MS data. On the other hand, chasing the antioxidant activity of methanolic extract of leaves, we employed a bioassay-guided isolation approach. With this method, we isolated and characterized compound , a known molecule, which possessed strong antioxidant activity without showing much toxicity in the brine shrimp lethality test at the test concentration of 1 mg/mL. With our results, we advocate the MS-based approach as a good starting point for the dereplication of compounds from the complex crude extracts of plants.

摘要

植物在民族药理学中具有关键作用,其制剂在全球范围内都有应用。然而,深入研究其结构需要一个有效的工作流程,且大多需要耗时的分离过程。尽管生物测定导向的方法广受欢迎,但近年来它们面临着一个重大的重新发现问题,尤其是在植物代谢组学领域。本文考虑采用基于质谱(MS)的方法,通过全球天然产物社会分子网络(GNPS)进行分子网络分析,以利于快速筛选次生代谢产物。本研究使用从植物各个部位直接获得的粗提物来表征次生代谢产物。该植物的粗提物最初显示出有前景的抗氧化和抗糖尿病活性。然后,我们采用基于质谱的去重复方法来鉴定提取物中的植物化学成分。这导致发现了7种未知和17种已知的次生代谢产物,这些产物通过SIRIUS 4平台进一步验证,SIRIUS 4是一种利用串联质谱数据注释化合物的计算工具。另一方面,为了追踪叶片甲醇提取物的抗氧化活性,我们采用了生物测定导向的分离方法。通过这种方法,我们分离并鉴定了化合物 ,一种已知分子,在1mg/mL的测试浓度下,它在卤虫致死试验中具有很强的抗氧化活性且没有表现出太多毒性。基于我们的结果,我们主张基于质谱的方法作为从植物复杂粗提物中去重复化合物的一个良好起点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6981/9050285/0e4fd5257318/ECAM2022-3710791.001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验