Department of Botany, Faculty of Sciences, Central Laboratory, Shahrekord University, Shahrekord, Iran.
Phytochem Anal. 2022 Aug;33(6):915-942. doi: 10.1002/pca.3149. Epub 2022 Jun 7.
The genus Stachys L., belonging to the family Lamiaceae, is one of the largest genera with remarkable medicinal properties. Plants of this genus produce a broad range of secondary metabolites.
Due to the incomplete comprehensive assessment of chemical profiles in Stachys species, we conducted an untargeted metabolomics study and identified potential biomarkers in the six sections of Stachys with chemotaxonomic importance.
Dried leaves of 17 taxa were utilized for analysis of all the constituents using HPLC-MQ-API-MS. The obtained data were processed and analyzed using multivariate statistical methods, including heatmaps, PLS-DA score plots, functional analysis of metabolic pathways, metabolite set enrichment analysis, and biomarker and network analysis.
Among the 129 metabolites, 111 flavonoids and 18 non-flavonoids were recognized. The most represented flavonoids, including 41 flavones and 20 flavonols, displayed remarkable abundance. In non-flavonoid compounds, a total of six coumarins and six phenolic acids were present at high levels. In terms of approved markers in six sections, 76 chemical compounds, mainly flavonoids, coumarins, quinic acids, and cinnamic acids, were identified as potential biomarkers or chemotaxonomic indicators. Accordingly, the taxonomic complexities of some Stachys species in sections Fragilicaulis, Aucheriana, and Setifolia were properly resolved.
An HPLC-MS/MS-based metabolomics approach integrated with multivariate statistical methods was employed to identify (1) valuable markers and analyze metabolic diversity and (2) predict the pharmaceutical properties of Stachys species. The obtained chemical profiles provide a new perspective for investigation of the Stachys genus.
唇形科荆芥属植物是最大的属之一,具有显著的药用特性。该属植物产生广泛的次生代谢产物。
由于对荆芥属植物的化学成分进行全面评估不够完整,我们进行了非靶向代谢组学研究,鉴定了在具有化学分类学重要性的六个节段的荆芥中潜在的生物标志物。
利用 HPLC-MQ-API-MS 分析了 17 个分类群的干叶中的所有成分。使用多元统计方法(包括热图、PLS-DA 得分图、代谢途径功能分析、代谢物集富集分析和生物标志物和网络分析)对获得的数据进行处理和分析。
在 129 种代谢物中,鉴定出 111 种黄酮类化合物和 18 种非黄酮类化合物。最具代表性的黄酮类化合物包括 41 种黄酮类和 20 种黄酮醇类,其含量丰富。在非黄酮类化合物中,共有六种香豆素和六种酚酸含量较高。在六个节段的已批准标志物中,共鉴定出 76 种化学化合物,主要为黄酮类、香豆素类、奎宁酸类和肉桂酸类,这些化合物被认为是潜在的生物标志物或化学分类学指标。因此,正确解决了 Fragilicaulis、Aucheriana 和 Setifolia 节段中某些荆芥物种的分类复杂性问题。
采用 HPLC-MS/MS 代谢组学方法结合多元统计方法,鉴定(1)有价值的标志物并分析代谢多样性,(2)预测荆芥属植物的药用特性。所得化学图谱为研究荆芥属植物提供了新的视角。