Metabolomics Reveals Distinct Metabolites between Lonicera japonica and Lonicera macranthoides Based on GC-MS

被引:5
|
作者
Liu, Rui-ying [1 ,2 ]
Deng, Jing [1 ]
Lin, Xiu-Lian [1 ]
Li, Ya-mei [1 ]
Lin, Yan [1 ]
Xia, Bo-hou [1 ,3 ]
Lin, Li-mei [1 ]
机构
[1] Hunan Univ Chinese Med, Key Lab Qual Evaluat Bulk Herbs Hunan Prov, Changsha 410208, Peoples R China
[2] Beijing Univ Chinese Med, Sch Chinese Pharm, Beijing 102488, Peoples R China
[3] Hunan Key Lab Druggabil & Preparat Modificat Trad, Changsha 410208, Peoples R China
基金
国家重点研发计划;
关键词
ACID; ANTIOXIDANT; QUALITY; BIOSYNTHESIS; ACCUMULATION; METABONOMICS; EXPRESSION; CHALLENGES; QUERCETIN; EXTRACTS;
D O I
10.1155/2020/6738571
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Lonicera japonica Thunb. (LJ) and Lonicera macranthoides Hand. -Mazz. (LM) have been widely used in Chinese medicine for thousands of years. Although the morphological characteristics of LJ and LM are quite similar, there are significant distinctions of medicinal ingredients (mainly the secondary metabolites) and clinical indications between them. However, the in-depth differences of primary metabolites have not thoroughly been studied yet. Therefore, gas chromatography-mass spectrometry- (GC-MS-) based metabolomics method combined with chemometric methods were performed to analyze the distinction in this study. The results showed that LJ and LM were obviously classified into two groups. 10 metabolites were obtained as biomarkers on account of their p values, vertical bar p(corr)vertical bar values, and differing variable importance in projection (VIP) values. Metabolic pathway analysis showed that the galactose metabolism and starch and sucrose metabolism gathered as potential pathways caused these extraordinary differences of primary metabolites between LJ and LM. Further, we found that the differences of main medicinal ingredients between LJ and LM could be interpreted from these metabolites according to the analysis of mainly related pathways. The metabolites involved in the starch and sucrose metabolism presented upregulated in LJ, while almost all metabolites in the galactose metabolism, the TCA cycle, and the phenolic acid part of phenylpropanoid metabolism were downregulated in LJ. Therefore, the energy stored in the starch and sucrose metabolism may be saved to produce flavonoid, which could be the reason that the level of flavonoid of phenylpropanoid metabolism is higher in LJ compared to LM. Consequently, this study presented an effective tool for quality evaluation of LJ and LM and laid a foundation for further studies of the metabolic mechanisms and high-quality manufacturing of them.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] A potential tool for diagnosis of male infertility: Plasma metabolomics based on GC-MS
    Zhou, Xinyi
    Wang, Yang
    Yun, Yonghuan
    Xia, Zian
    Lu, Hongmei
    Luo, Jiekun
    Liang, Yizeng
    TALANTA, 2016, 147 : 82 - 89
  • [32] GC-MS based metabolomics strategy to distinguish three types of acute pancreatitis
    Huang, Jian-hua
    He, Dan
    Chen, Lin
    Dong, Chun-yang
    Zhang, Shui-han
    Qin, Yu-hui
    Yu, Rong
    Ahmed, Rida
    Kuang, Jian-jun
    Zhang, Xing-wen
    PANCREATOLOGY, 2019, 19 (05) : 630 - 637
  • [33] Reconstruction and analysis of correlation networks based on GC-MS metabolomics data for hypercholesterolemia
    Ouyang, Ya-nan
    Zhou, Lu-xin
    Jin, Yue-xin
    Hou, Guo-feng
    Yang, Peng-fei
    Chen, Meng
    Tian, Zhongmin
    BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2021, 553 : 1 - 8
  • [34] GC/MS-based untargeted metabolomics reveals the differential metabolites for discriminating vintage of Chenxiang-type baijiu
    Wang, Na
    Zhang, Lili
    Fu, Li
    Wang, Mei
    Zhang, Hui
    Jiang, Xiaoyu
    Liu, Xiaohui
    Zhang, Zhen
    Ren, Xuejiao
    FOOD RESEARCH INTERNATIONAL, 2024, 186
  • [35] Comparison of Multiple Bioactive Constituents in the Flower and the Caulis of Lonicera japonica Based on UFLC-QTRAP-MS/MS Combined with Multivariate Statistical Analysis
    Cai, Zhichen
    Wang, Chengcheng
    Zou, Lisi
    Liu, Xunhong
    Chen, Jiali
    Tan, Mengxia
    Mei, Yuqi
    Wei, Lifang
    MOLECULES, 2019, 24 (10)
  • [36] Granger causality in integrated GC-MS and LC-MS metabolomics data reveals the interface of primary and secondary metabolism
    Doerfler, Hannes
    Lyon, David
    Naegele, Thomas
    Sun, Xiaoliang
    Fragner, Lena
    Hadacek, Franz
    Egelhofer, Volker
    Weckwerth, Wolfram
    METABOLOMICS, 2013, 9 (03) : 564 - 574
  • [37] Evaluation of the volatile from Lonicera macranthoides obtained with different processing methods by headspace–solid-phase microextraction–gas chromatography–tandem mass spectrometry (HS–SPME–GC–MS)
    Jingru Zhang
    Chunxiang Yang
    Liguo Zhu
    Yuan Wang
    Chen Yang
    Qiuyue Li
    Jianqi Bai
    Weidong Li
    Ping Zhang
    Chemical Papers, 2021, 75 : 3847 - 3857
  • [38] A combination of GC-MS and chemometrics reveals metabolic differences between serum and plasma
    Shi, Shuting
    Yi, Lunzhao
    Yun, Yonghuan
    Zhang, Xiaojuan
    Liang, Yizeng
    ANALYTICAL METHODS, 2015, 7 (05) : 1751 - 1757
  • [39] Optimal Normalization Method for GC-MS/MS-Based Large-Scale Targeted Metabolomics
    Xue, Liming
    Xu, Jiale
    Feng, Chao
    Lu, Dasheng
    Zhou, Zhijun
    JOURNAL OF ANALYTICAL CHEMISTRY, 2022, 77 (03) : 361 - 368
  • [40] Optimal Normalization Method for GC-MS/MS-Based Large-Scale Targeted Metabolomics
    Liming Xue
    Jiale Xu
    Chao Feng
    Dasheng Lu
    Zhijun Zhou
    Journal of Analytical Chemistry, 2022, 77 : 361 - 368