Mišić Danijela, Siler Branislav, Gašić Uroš, Avramov Stevan, Zivković Suzana, Nestorović Živković Jasmina, Milutinović Milica, Tešić Zivoslav
Institute for Biological Research 'Siniša Stanković', University of Belgrade, Bulevar despota Stefana 142, 11060, Belgrade, Serbia.
Phytochem Anal. 2015 Jan-Feb;26(1):72-85. doi: 10.1002/pca.2538. Epub 2014 Nov 27.
Nepeta species contain a variety of secondary metabolites, including iridoid monoterpenes - nepetalactones and phenolic acids - that are considered the main bioactive constituents. This work represents the first attempt to comparatively explore variations in these two major groups of secondary metabolites within the genus.
To develop an efficient analytical methodology for simultaneous analysis of nepetalactones and phenolic acids in methanol extracts of selected Nepeta species, and to evaluate its potential application in chemotaxonomic studies.
A UHPLC combined with linear-trap quadrupole (LTQ) orbitrap MS method was used to characterise chemical diversity and complexity of phenolics among 12 selected Nepeta species. A targeted metabolomic approach using UHPLC coupled to a diode array detector (DAD) and combined with (+/-) heated electrospray ionisation (HESI) MS/MS was developed and validated for quantitative analysis of six hydroxycinnamic acid derivatives and four nepetalactones.
Phenolic profiling provided a valuable database of bioactive compounds in the plant group studied, including phenolic acids (hydroxybenzoic and hydroxycinnamic acids) and flavonoids (flavones, flavonols and flavanones). Principal component analysis and cluster analysis suggested the applicability of 10 targeted compounds as chemomarkers for chemotaxonomic studies. Pearson's correlation analysis revealed significant positive correlations between metabolites involved in different biosynthetic pathways (phenylpropanoid or monoterpenoid).
The described targeted metabolomic approach proved to be highly beneficial in designing a phytochemical overview of the genus Nepeta, and might have applications in further clarification of phylogenetic relations. Furthermore, it has the potential to be implemented in a routine quality control of plant material and herbal preparations.
荆芥属植物含有多种次生代谢产物,包括环烯醚萜单萜类化合物——荆芥内酯和酚酸类化合物,它们被认为是主要的生物活性成分。本研究首次尝试比较探索该属内这两类主要次生代谢产物的差异。
开发一种高效分析方法,用于同时分析选定荆芥属植物甲醇提取物中的荆芥内酯和酚酸类化合物,并评估其在化学分类学研究中的潜在应用。
采用超高效液相色谱(UHPLC)结合线性离子阱四极杆(LTQ)轨道阱质谱法,对12种选定荆芥属植物中的酚类化合物的化学多样性和复杂性进行表征。开发并验证了一种靶向代谢组学方法,该方法采用UHPLC与二极管阵列检测器(DAD)联用,并结合(+/-)加热电喷雾电离(HESI)串联质谱,用于定量分析六种羟基肉桂酸衍生物和四种荆芥内酯。
酚类化合物分析提供了所研究植物组中生物活性化合物的宝贵数据库,包括酚酸类(羟基苯甲酸和羟基肉桂酸)和黄酮类(黄酮、黄酮醇和黄烷酮)。主成分分析和聚类分析表明,10种靶向化合物可作为化学分类学研究的化学标记物。Pearson相关性分析揭示了参与不同生物合成途径(苯丙烷类或单萜类)的代谢产物之间存在显著正相关。
所描述的靶向代谢组学方法在设计荆芥属植物的植物化学概况方面被证明非常有益,并且可能在进一步阐明系统发育关系方面有应用。此外,它有潜力应用于植物材料和草药制剂的常规质量控制。