Identification of α-glucosidase inhibitors from Cortex Lycii based on a bioactivity-labeling high-resolution mass spectrometry-metabolomics investigation

被引:9
|
作者
Liu, Yueqiu [1 ,2 ]
Zheng, Wen [1 ]
Zhong, Yi [1 ]
Zhang, Lu [1 ]
Su, Tao [1 ]
Liang, Ge [1 ]
Zhang, Dingkun [1 ]
Zhang, Yong [1 ]
Chen, Jingqiu [1 ]
Gong, Meng [1 ]
机构
[1] Sichuan Univ, West China Hosp, Inst Syst Genet, Frontiers Sci Ctr Disease Related Mol Network, Chengdu, Peoples R China
[2] Chengdu Univ Technol, Coll Mat & Chem & Chem Engn, Chengdu, Peoples R China
关键词
Cortex Lycii; Type; 2; diabetes; High-resolution mass spectrometry; Multivariate data analysis; Metabolomics; alpha-glucosidase inhibition assay;
D O I
10.1016/j.chroma.2021.462041
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Cortex Lycii, as a kind of traditional Chinese medicines, have shown prospects in the prevention of diabetes and its complications. However, there is comparatively little information regarding the characterization of potentially hypoglycemic compounds derived from Cortex Lycii. In this study, we performed a global non-selective investigation of alpha-glucosidase inhibitors in Cortex Lycii based on a bioactivity-labeling high-resolution mass spectrometry-metabolomics method. Samples of Cortex Lycii were collected from different Chinese provinces and their ethyl acetate extracts were analyzed using an in vitro alpha-glucosidase inhibition assay for bioactivity-labeling. The ethyl acetate extracts were also subjected to liquid chromatography-mass spectrometry analysis and multivariate data analysis was subsequently conducted to identify correlations between the bioactivity measured from the enzyme-involved test and the profiles obtained based on high-resolution mass spectrometry. The variables contributing significantly to the separation of the more-active from the less-active samples were considered to indicate the potential target ions of active compounds. MS/MS fragment patterns and nuclear magnetic resonance analyses were used to identify the potential target ions. The developed platform mentioned above facilitated rapid identification of four alpha-glucosidase inhibitors, namely, N-p-trans-coumaroyltyramine (1), N-trans-caffeoyltyramine (2), (9R,10E,12Z)-9-hydroxy-10,12-octadecadienoic acid (3a), and (9S,10E,12Z)-9-hydroxy-10,12octadecadienoic acid (3b) from Cortex Lycii. The alpha-glucosidase inhibitory activities of compounds 3a and 3b with IC50 values of 1.0413 +/- 0.0551 and 1.0423 +/- 0.0049 mM, respectively, are reported here for the first time. Enzyme kinetics revealed that both 3a and 3b were non-competitive inhibitors of alpha-glucosidase, with Ki values of 2.20 and 2.24 mM, respectively. In short, the presented work identified compounds 3a and 3b as potential alpha-glucosidase inhibitors with higher inhibitory activity and a different mode of inhibition compared to the standard alpha-glucosidase inhibitor, acarbose. The integrated approach adopted in this study can be extended as a normalized procedure to rapidly identify active compounds, even from complex extracts, and can readily be adapted for the study of other natural products. (C) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] MetSign: A Computational Platform for High-Resolution Mass Spectrometry-Based Metabolomics
    Wei, Xiaoli
    Sun, Wenlong
    Shi, Xue
    Koo, Imhoi
    Wang, Bing
    Zhang, Jun
    Yin, Xinmin
    Tang, Yunan
    Bogdanov, Bogdan
    Kim, Seongho
    Zhou, Zhanxiang
    McClain, Craig
    Zhang, Xiang
    ANALYTICAL CHEMISTRY, 2011, 83 (20) : 7668 - 7675
  • [2] Advances in high-resolution mass spectrometry based on metabolomics studies for food - a review
    Rubert, Josep
    Zachariasova, Milena
    Hajslova, Jana
    FOOD ADDITIVES AND CONTAMINANTS PART A-CHEMISTRY ANALYSIS CONTROL EXPOSURE & RISK ASSESSMENT, 2015, 32 (10): : 1685 - 1708
  • [3] Facilitated Visual Interpretation of Scores in Principal Component Analysis by Bioactivity-Labeling of 1H-NMR Spectra-Metabolomics Investigation and Identification of a New α-Glucosidase Inhibitor in Radix Astragali
    Liu, Yueqiu
    Nyberg, Nils T.
    Jager, Anna K.
    Staerk, Dan
    MOLECULES, 2017, 22 (03):
  • [4] High-Resolution Mass Spectrometry-Based Metabolomics for Increased Grape Juice Metabolite Coverage
    Nicolas, Sebastien
    Bois, Benjamin
    Billet, Kevin
    Romanet, Remy
    Bahut, Florian
    Uhl, Jenny
    Schmitt-Kopplin, Philippe
    Gougeon, Regis D.
    FOODS, 2024, 13 (01)
  • [5] In vivo investigation of homocysteine metabolism to polyamines by high-resolution accurate mass spectrometry and stable isotope labeling
    Ruseva, Silviya
    Lozanov, Valentin
    Markova, Petia
    Girchev, Radoslav
    Mitev, Vanio
    ANALYTICAL BIOCHEMISTRY, 2014, 457 : 38 - 47
  • [6] From sound check to encore: A journey through high-resolution mass spectrometry-based food analyses and metabolomics
    Diaz-Galiano, Francisco Jose
    Murcia-Morales, Maria
    Fernandez-Alba, Amadeo Rodriguez
    COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY, 2024, 23 (02)
  • [7] Advances in High-Resolution Mass Spectrometry-Based Metabolomics: Applications in Food Analysis and Biomarker Discovery
    Shang, Wenqi
    Wei, Guozheng
    Li, Haibo
    Zhao, Guohua
    Wang, Damao
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2025, 73 (06) : 3305 - 3325
  • [8] High-resolution mass spectrometry-based metabolomics for the discrimination between organic and conventional crops: A review
    Mihailova, Alina
    Kelly, Simon D.
    Chevallier, Olivier P.
    Elliott, Christopher T.
    Maestroni, Britt M.
    Cannavan, Andrew
    TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2021, 110 (110) : 142 - 154
  • [9] Nontargeted Modification-Specific Metabolomics Study Based on Liquid Chromatography High-Resolution Mass Spectrometry
    Dai, Weidong
    Yin, Peiyuan
    Zeng, Zhongda
    Kong, Hongwei
    Tong, Hongwei
    Xu, Zhiliang
    Lu, Xin
    Lehmann, Rainer
    Xu, Guowang
    ANALYTICAL CHEMISTRY, 2014, 86 (18) : 9146 - 9153
  • [10] Identification of novel unique ma over bar nuka honey markers using high-resolution mass spectrometry-based metabolomics
    Diaz-Galiano, Francisco Jose
    Heinzen, Horacio
    Gomez-Ramos, Maria Jose
    Murcia-Morales, Maria
    Fernandez-Alba, Amadeo R.
    TALANTA, 2023, 260