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采用分子网络策略结合超高效液相色谱-四极杆飞行时间质谱对云南重楼进行结构表征和鉴别。

Structural characterization and discrimination of Paris polyphylla var. yunnanensis by a molecular networking strategy coupled with ultra-high-performance liquid chromatography with quadrupole time-of-flight mass spectrometry.

机构信息

School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.

Pharmacy Department, Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.

出版信息

Rapid Commun Mass Spectrom. 2020 Jun 15;34(11):e8760. doi: 10.1002/rcm.8760.

Abstract

RATIONALE

Paris polyphylla var. yunnanensis (Franch) Hand Mazz (PPY) is a traditional Chinese medicine with antitumor, antibacterial, hemostatic, and anthelmintic activities. Identification of the chemical composition in PPY is helpful to discover its active ingredients and can be used to establish its quality control protocols.

METHODS

The composition of PPY was identified using ultra-high-performance liquid chromatography combined with quadrupole time-of-flight mass spectrometry (UHPLC/QTOF-MS/MS) coupled with a molecular networking strategy. First, the UHPLC/QTOF-MS/MS approach was optimized for chemical compound profiling. Then, the MS data were processed using PeakView™ combined with an in-house database to quickly characterize the secondary metabolites. Finally, molecular networking excavated new molecular weights to discover unknown or trace natural products based on the characteristics of each cluster.

RESULTS

A total of 222 compounds, including 77 isospirostanols, 2 spirostanols, 19 furostanols, 10 pseudospirostanols, 6 cholesterols, 10 C steroids, 5 insect metamorphosis hormones, 3 plant sterols, 6 five-ring triterpenoids, 4 flavonoids, 8 fatty acids, 2 phenylpropanoids, and 8 other compounds, were characterized in PPY by comparing their main fragmentation characteristics and pathways with the literature data, and 62 of them, 54 steroidals and 8 phenylpropanoids, were discovered or tentatively identified for the first time.

CONCLUSIONS

This study extended the application of a molecular networking strategy to traditional herbal medicines and developed a molecular networking based screening approach with a significant increase in efficiency for the discovery and identification of trace novel natural products.

摘要

原理

云南重楼(Paris polyphylla var. yunnanensis (Franch) Hand Mazz)是一种具有抗肿瘤、抗菌、止血和驱虫作用的传统中药。鉴定云南重楼中的化学成分有助于发现其活性成分,并可用于建立其质量控制方案。

方法

采用超高效液相色谱-四级杆飞行时间质谱联用(UHPLC/QTOF-MS/MS)结合分子网络策略鉴定云南重楼的成分。首先,优化 UHPLC/QTOF-MS/MS 方法进行化合物谱图分析。然后,使用 PeakViewTM 结合内部数据库对 MS 数据进行处理,快速对次生代谢产物进行特征分析。最后,分子网络根据每个簇的特点挖掘新的分子量,发现未知或痕量的天然产物。

结果

通过比较主要碎片特征和文献数据,共鉴定出云南重楼中的 222 种化合物,包括 77 种异螺旋甾烷醇、2 种螺旋甾烷醇、19 种呋甾烷醇、10 种伪螺旋甾烷醇、6 种胆固醇、10 种 C 甾体、5 种昆虫变态激素、3 种植物甾醇、6 种五环三萜、4 种黄酮、8 种脂肪酸、2 种苯丙素和 8 种其他化合物,其中 62 种甾体和 8 种苯丙素为首次发现或初步鉴定。

结论

本研究将分子网络策略扩展到传统草药中,并开发了一种基于分子网络的筛选方法,大大提高了痕量新型天然产物的发现和鉴定效率。

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