中国实验方剂学杂志2025,Vol.31Issue(2) :200-207.DOI:10.13422/j.cnki.syfjx.20241068

基于非靶向代谢组学分析"发汗"对艾纳香代谢产物的影响

Effect of"Fahan"on Metabolites of Blumea balsamifera Analyzed by Non-targeted Metabolomics

曹佳渊 徐新 张向胜 刘炳楠 魏永耀 钟可 庞玉新
中国实验方剂学杂志2025,Vol.31Issue(2) :200-207.DOI:10.13422/j.cnki.syfjx.20241068

基于非靶向代谢组学分析"发汗"对艾纳香代谢产物的影响

Effect of"Fahan"on Metabolites of Blumea balsamifera Analyzed by Non-targeted Metabolomics

曹佳渊 1徐新 1张向胜 1刘炳楠 1魏永耀 1钟可 2庞玉新3
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作者信息

  • 1. 广东药科大学中药资源学院,广东云浮 527300;云浮市中药资源种质库管理中心,广东云浮 527300
  • 2. 贵州中医药大学药学院,贵阳 550025
  • 3. 广东药科大学中药资源学院,广东云浮 527300;云浮市中药资源种质库管理中心,广东云浮 527300;贵州中医药大学药学院,贵阳 550025
  • 折叠

摘要

目的:通过非靶向代谢组学技术研究艾纳香在"发汗"过程中代谢产物的变化特征,探究"发汗"炮制对艾纳香成分的影响.方法:采用超高效液相色谱-四极杆-静电场轨道阱高分辨质谱法(UPLC-Q-Exactive Orbitrap-MS)代谢组学技术对艾纳香不"发汗"(F1)组、"发汗"2d(F2)组、"发汗"4d(F3)组的代谢物进行鉴定,结合主成分分析(PCA)、正交偏最小二乘法-判别分析(OPLS-DA)等方法比较各组间代谢物的差异,根据变量重要性投影(VIP)值>1,P<0.05筛选差异代谢物,并通过京都基因与基因组百科全书(KEGG)对差异代谢物进行通路富集分析.结果:PCA与OPLS-DA结果显示,3组样品组间区分明显,表明3组样品成分差异显著.F1与F2组间共筛选出433种差异代谢物,上调154种,下调279种,上调显著的代谢物有橘皮素、5-O-demethylnobiletin等,下调显著的代谢物有交链孢酚、fortunellin等.F2和F3组间共筛选出379种差异代谢物,上调150种,下调229种,上调显著的代谢物有异欧前胡素、helianyl octanoate等,下调显著的代谢物有枳椇苷Ⅰ、goyasaponin Ⅲ等.KEGG通路富集分析显示,酪氨酸代谢,异喹啉生物碱的生物合成,苯丙氨酸、酪氨酸和色氨酸的生物合成,色氨酸代谢,缬氨酸、亮氨酸和异亮氨酸的生物合成,泛酸盐和辅酶A的生物合成等途径可能是艾纳香"发汗"处理后影响代谢物差异的关键通路.结论:"发汗"可以降低艾纳香中内生真菌毒素的含量,对艾纳香的总黄酮及生长素的合成与代谢通路影响较大.该研究可为艾纳香"发汗"条件的工艺研究提供参考.

Abstract

Objective:To characterize the changes of metabolites of Blumea balsamifera in the process of sweating by non-targeted metabolomics,and to investigate the influence of sweating processing on the constituents of B.balsamifera.Methods:Ultra performance liquid chromatography-quadrupole/electrostatic field orbitrap high resolution mass spectrometry(UPLC-Q-Exactive Orbitrap-MS)metabolomics was used to identify the metabolites in no sweating group(F1),sweating 2 d group(F2)and sweating 4 d group(F3),the differences of metabolites between the groups were compared by principal component analysis(PCA)and orthogonal partial least squares-discriminant analysis(OPLS-DA),and differential metabolites were screened according to the variable importance in the projection(VIP)value>1 and P<0.05,and the pathway enrichment of the differential metabolites was analyzed by Kyoto Encyclopedia of Genes and Genomes(KEGG).Results:The results of PCA and OPLS-DA showed a clear distinction between the three groups of samples,indicating significant differences in the compositions of the three groups of samples.A total of 433 differential metabolites were screened between the Fl and F2,with 154 up-regulated and 279 down-regulated,the significant up-regulated metabolites were tangeritin,5-O-demethylnobiletin and so on,while the metabolites with significant down-regulation included alternariol,fortunellin,etc.A total of 379 differential metabolites were screened between the F2 and F3,with 150 up-regulated and 229 down-regulated,the significant up-regulated metabolites were isoimperatorin,helianyl octanoate and so on,and the significant down-regulated metabolites were hovenoside Ⅰ,goyasaponin Ⅲ,etc.KEGG pathway enrichment analysis showed that tyrosine metabolism,isoquinoline alkaloid biosynthesis,phenylalanine,tyrosine and tryptophan biosynthesis,tryptophan metabolism,valine,leucine and isoleucine biosynthesis,pantothenate and coenzyme A biosynthesis may be the key pathways affecting metabolite differences of B.balsamifera after sweating treatment.Conclusion:Sweating can reduce the content of endophytic mycotoxins in B.balsamifera and has a great impact on the synthesis and metabolic pathways of total flavonoids and auxin.This study can provide a reference for the process research on the sweating conditions of B.balsamifera.

关键词

非靶向代谢组学/艾纳香/发汗/代谢物/代谢通路/品质评价/超高效液相-四级杆-静电场轨道阱高分辨质谱法(UPLC-Q-Exactive/Orbitrap-MS)

Key words

non-targeted metabolomics/Blumea balsamifera/sweating/metabolites/metabolic pathways/quality evaluation/ultra performance liquid chromatography-quadrupole/electrostatic field orbitrap high resolution mass spectrometry(UPLC-Q-Exactive Orbitrap-MS)

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出版年

2025
中国实验方剂学杂志
中国中医科学院中药研究所 中国中西医结合学会中药专业委员会

中国实验方剂学杂志

北大核心
影响因子:1.62
ISSN:1005-9903
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