Effect of "Fahan" on Metabolites of Blumea balsamifera Analyzed by Non-targeted Metabolomics
10.13422/j.cnki.syfjx.20241068
- VernacularTitle:基于非靶向代谢组学分析“发汗”对艾纳香代谢产物的影响
- Author:
Jiayuan CAO
1
;
Xin XU
1
;
Xiangsheng ZHANG
1
;
Bingnan LIU
1
;
Yongyao WEI
1
;
Ke ZHONG
2
;
Yuxin PANG
1
Author Information
1. School of Chinese Materia Medicinal Resource，Guangdong Pharmaceutical University， Yunfu 527300，China
2. School of Pharmacy，Guizhou University of TCM，Guiyang 550025，China
- Publication Type:Journal Article
- Keywords:
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）
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2025;31(2):200-207
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo 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. MethodsUltra 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）. ResultsThe 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 F1 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. ConclusionSweating 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.
