Comparative metabolite analysis of Piper sarmentosum organs approached by LC-MS-based metabolic profiling

被引:4
|
作者
Ware, Ismail [1 ,2 ,3 ]
Franke, Katrin [1 ,4 ,5 ]
Frolov, Andrej [1 ]
Bureiko, Kseniia [1 ]
Kysil, Elana [1 ]
Yahayu, Maizatulakmal [3 ]
El Enshasy, Hesham Ali [3 ,6 ]
Wessjohann, Ludger A. [1 ,5 ]
机构
[1] Leibniz Inst Plant Biochem, Dept Bioorgan Chem, D-06120 Halle, Saale, Germany
[2] Univ Malaysia Sabah, Biotechnol Res Inst, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia
[3] Univ Teknol Malaysia UTM, Inst Bioprod Dev, Johor Baharu 81310, Johor, Malaysia
[4] Martin Luther Univ Halle Wittenberg, Inst Biol Geobot & Bot Garden, D-06108 Halle, Saale, Germany
[5] German Ctr Integrat Biodivers Res iDiv, D-04103 Leipzig, Germany
[6] City Sci Res & Technol Applicat, Alexandria 21934, Egypt
关键词
Piper sarmentosum; LC-MS/MS; Multivariate analysis; Metabolite profiling; Secondary metabolites; Alkaloids; ELECTROSPRAY-IONIZATION; MASS-SPECTROMETRY; EDIBLE PLANTS; ALKALOIDS; CHROMATOGRAPHY; LEAVES; GLYCOSYLTRANSFERASES; IDENTIFICATION; BIOSYNTHESIS; ACCUMULATION;
D O I
10.1007/s13659-024-00453-z
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Piper sarmentosum Roxb. (Piperaceae) is a traditional medicinal and food plant widely distributed in the tropical and subtropical regions of Asia, offering both health and culinary benefits. In this study the secondary metabolites in different organs of P. sarmentosum were identified and their relative abundances were characterized. The metabolic profiles of leaves, roots, stems and fruits were comprehensively investigated by liquid chromatography high-resolution mass spectrometry (LC-HR-MS) and the data subsequently analyzed using multivariate statistical methods. Manual interpretation of the tandem mass spectrometric (MS/MS) fragmentation patterns revealed the presence of 154 tentatively identified metabolites, mostly represented by alkaloids and flavonoids. Principle component analysis and hierarchical clustering indicated the predominant occurrence of flavonoids, lignans and phenyl propanoids in leaves, aporphines in stems, piperamides in fruits and lignan-amides in roots. Overall, this study provides extensive data on the metabolite composition of P. sarmentosum, supplying useful information for bioactive compounds discovery and patterns of their preferential biosynthesis or storage in specific organs. This can be used to optimize production and harvesting as well as to maximize the plant's economic value as herbal medicine or in food applications.
引用
收藏
页数:21
相关论文
共 50 条
  • [21] Metabolomic profiling differences among asthma, COPD and healthy controls: a LC-MS-based metabolomics analysis
    Chang, Chun
    Liang, Ying
    Wang, Juan
    Sun, Yongchang
    Yao, Wanzhen
    EUROPEAN RESPIRATORY JOURNAL, 2019, 54
  • [22] LC-MS-based metabolite profiling of aqueous extract of Pergularia tomentosa L. and its anti-hyperglycemic effect
    Hosseini, Seyed Hamzeh
    Ghadi, Fereshteh Ezzati
    Ghara, Abdollah Ramzani
    Cerulli, Antonietta
    Shakeri, Abolfazl
    Piacente, Sonia
    IRANIAN JOURNAL OF BASIC MEDICAL SCIENCES, 2022, 25 (12) : 1433 - 1441
  • [23] Metabolite profiling study of propranolol in rat using LC/MS/MS analysis
    Beaudry, F
    Le Blanc, JCY
    Coutu, M
    Ramier, I
    Moreau, JP
    Brown, NK
    BIOMEDICAL CHROMATOGRAPHY, 1999, 13 (05) : 363 - 369
  • [24] Tips and tricks for LC-MS-based metabolomics and lipidomics analysis
    Rakusanova, Stanislava
    Cajka, Tomas
    TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2024, 180
  • [25] Metabolomic Profiling Differences among Asthma,COPD,and Healthy Subjects:A LC-MS-based Metabolomic Analysis
    LIANG Ying
    GAI Xiao Yan
    CHANG Chun
    ZHANG Xu
    WANG Juan
    LI Ting Ting
    BiomedicalandEnvironmentalSciences, 2019, 32 (09) : 659 - 672
  • [26] LC-MS-based serum metabolic profiling for genitourinary cancer classification and cancer type-specific biomarker discovery
    Lin, Lin
    Huang, Zhenzhen
    Gao, Yao
    Chen, Yongjing
    Hang, Wei
    Xing, Jinchun
    Yan, Xiaomei
    PROTEOMICS, 2012, 12 (14) : 2238 - 2246
  • [27] Mild Blast Exposure Dysregulates Metabolic Pathways and Correlation Networking as Evident from LC-MS-Based Plasma Profiling
    Baghel, Ruchi
    Maan, Kiran
    Dhariwal, Seema
    Kumari, Megha
    Sharma, Apoorva
    Manda, Kailash
    Trivedi, Richa
    Rana, Poonam
    MOLECULAR NEUROBIOLOGY, 2025, 62 (03) : 3143 - 3166
  • [28] LC-MS-based Analytical Strategies for Targeted Profiling of Metabolites/Biomarkers in Complex Systems
    Guo, Bin
    CURRENT DRUG METABOLISM, 2012, 13 (09) : 1205 - 1205
  • [29] Application of LC-MS-Based Global Metabolomic Profiling Methods to Human Mental Fatigue
    Chen, Zhenling
    Xu, Xianfa
    Zhang, Jianping
    Liu, Yongsuo
    Xu, Xianggang
    Li, Lili
    Wang, Wei
    Xu, Haishan
    Jiang, Wei
    Wang, Yan
    ANALYTICAL CHEMISTRY, 2016, 88 (23) : 11293 - 11296
  • [30] SuperHirn -: a novel tool for high resolution LC-MS-based peptide/protein profiling
    Mueller, Lukas N.
    Rinner, Oliver
    Schmidt, Alexander
    Letarte, Simon
    Bodenmiller, Bernd
    Brusniak, Mi-Youn
    Vitek, Olga
    Aebersold, Ruedi
    Mueller, Markus
    PROTEOMICS, 2007, 7 (19) : 3470 - 3480