李丽, 张英秀, 赵日杂, 蔡汶甫, 张志锋*. 基于GC-MS代谢组学的云南紫菀和臭蚤草的多元统计分析及抑菌活性研究J. 药学学报, 2021,56(11): 3118-3129. doi: 10.16438/j.0513-4870.2021-0568
引用本文: 李丽, 张英秀, 赵日杂, 蔡汶甫, 张志锋*. 基于GC-MS代谢组学的云南紫菀和臭蚤草的多元统计分析及抑菌活性研究J. 药学学报, 2021,56(11): 3118-3129. doi: 10.16438/j.0513-4870.2021-0568
LI Li, ZHANG Ying-xiu, ZHAO Ri-za, CAI Wen-fu, ZHANG Zhi-feng*. Multivariate statistical analysis based on GC-MS metabolomics and antibacterial activity of Aster yunnanensis and Pulicaria insignisJ. Acta Pharmaceutica Sinica, 2021,56(11): 3118-3129. doi: 10.16438/j.0513-4870.2021-0568
Citation: LI Li, ZHANG Ying-xiu, ZHAO Ri-za, CAI Wen-fu, ZHANG Zhi-feng*. Multivariate statistical analysis based on GC-MS metabolomics and antibacterial activity of Aster yunnanensis and Pulicaria insignisJ. Acta Pharmaceutica Sinica, 2021,56(11): 3118-3129. doi: 10.16438/j.0513-4870.2021-0568

基于GC-MS代谢组学的云南紫菀和臭蚤草的多元统计分析及抑菌活性研究

Multivariate statistical analysis based on GC-MS metabolomics and antibacterial activity of Aster yunnanensis and Pulicaria insignis

  • 摘要: 本研究为明确云南紫菀和臭蚤草的代谢物组异同及抑菌活性,以至正本清源、更有效利用药用植物资源。采用样品衍生化、气相色谱-质谱联用 (GC-MS) 技术对云南紫菀和臭蚤草的化学指纹进行非靶向代谢组学研究,并利用无监督的主成分分析 (PCA)、有监督的偏最小二乘判别分析 (PLS-DA) 和正交偏最小二乘法判别分析 (OPLS-DA) 等多元统计分析方法,对云南紫菀和臭蚤草进行差异代谢物筛选,并通过相关性分析来衡量显著差异代谢物之间的相关密切程度,进而对差异代谢物进行代谢通路富集分析,以确定差异样品中代谢途径的变化机制。同时对云南紫菀和臭蚤草挥发油进行抑菌活性研究。结果共鉴定出包括氨基酸及其衍生物、苯丙素类、芳香族、苷类、核苷酸、黄酮类、生物碱类、糖类、维生素、有机酸、脂类、酯类、醇类等在内的384种代谢产物。对显著变化 (P < 0.05,VIP > 1) 的差异代谢物进行鉴定,共筛选出92种差异代谢物,它们在含量上存在显著差异。抑菌活性表明,云南紫菀和臭蚤草对5种临床致病菌具有较弱的抑菌作用。因此,本研究建立了一种基于柱前衍生与GC-MS代谢组学的方法比较云南紫菀和臭蚤草,为其基原鉴别及临床合理应用提供了科学依据。

     

    Abstract: The study was undertaken to clarify the differences in metabolite groups between Aster yunnanensis and Pulicaria insignis to establish plant origin and identify plant resources. Non-target metabolomics of A. yunnanensis and P. insignis was undertaken with sample derivatives and gas chromatography-mass spectrometry (GC-MS). Principal component analysis (PCA), partial least-squares discriminant analysis (PLS-DA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) were used to characterize the differing metabolites of A. yunnanensis and P. insignis. Correlation analysis of these metabolites and metabolic pathway analysis allowed us to identify metabolic pathway changes between samples. Characterization of the antibacterial activity of the essential oil from A. yunnanensis and P. insignis showed that 384 metabolites were identified in the two species, including amino acids and peptides, phenylpropanoids, aromatics, glycoside, nucleotide, flavonoid, alkaloids, saccharides, vitamin, organic acid, lipids, esters, alcohol. A total of 92 differential metabolites with significant differences in content (P < 0.05, VIP > 1) were identified. In conclusion, a new method based on pre-column derivatives and GC-MS metabolomics was used to distinguish and compare A. yunnanensis and P. insignis metabolites.

     

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