Literature DB >> 28918329

An integrated strategy for rapid discovery and identification of the sequential piperine metabolites in rats using ultra high-performance liquid chromatography/high resolution mass spectrometery.

Zhanpeng Shang1, Wei Cai2, Yanfeng Cao1, Fei Wang1, Zhibin Wang3, Jianqiu Lu4, Jiayu Zhang5.   

Abstract

Piperine, one of the major bioactive constituents isolated from natural flavorings and medicinal-culinary herbs, possesses various biological activities. In the present study, an integrated strategy based on ultra high-performance liquid chromatography/high resolution mass spectrometry was established to reveal piperine metabolism in rats. First of all, post-acquisition data-mining methods, including high resolution extracted ion chromatograms (HREICs) and multiple mass defect filtering (MMDF), were used to screen piperine metabolite candidates in a full-scan HRMS1 level. Then, parent ion list-dynamic exclusion coupled with data-dependent data-acquisition method was utilized to acquire MSn datasets. In addition, the established reverse molecular assembly (RMA) approach based on paired diagnostic product ions (pDPIs) coupled with neutral loss fragments (NLFs) was used to ascertain and identify the major-to-trace piperine metabolites efficiently. And then, the calculated ClogP values were utilized to distinguish the positional isomers. As a result, a total of 148 piperine metabolites were detected and characterized tentatively. The results demonstrated that piperine mainly underwent hydrogenation, dehydrogenation, hydroxylation, glucuronide conjugation, sulfate conjugation, ring-cleavage, and their composite reactions. Our results not only provided novel and useful data to better understand the safety, toxicity and efficacy of this potential therapeutic agent, but also indicated that the proposed strategy was reliable for a rapid discovery and identification drug-related constituents in vivo.
Copyright © 2017. Published by Elsevier B.V.

Entities:  

Keywords:  Metabolic profile; Multiple data processing methods; Piperine; Reverse molecular assembly strategy; Ultra high-performance liquid chromatography/high resolution mass spectrometry

Mesh:

Substances:

Year:  2017        PMID: 28918329     DOI: 10.1016/j.jpba.2017.09.012

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  6 in total

1.  A strategy combining solid-phase extraction, multiple mass defect filtering and molecular networking for rapid structural classification and annotation of natural products: characterization of chemical diversity in Citrus aurantium as a case study.

Authors:  Yi-Kun Wang; Xue-Rong Xiao; Zi-Meng Zhou; Yao Xiao; Wei-Feng Zhu; Hong-Ning Liu; Fei Li
Journal:  Anal Bioanal Chem       Date:  2021-04-06       Impact factor: 4.142

2.  Rapid Screening and Identification of Daidzein Metabolites in Rats Based on UHPLC-LTQ-Orbitrap Mass Spectrometry Coupled with Data-Mining Technologies.

Authors:  Wenjing Zhao; Zhanpeng Shang; Qinqing Li; Moran Huang; Wenbin He; Zhibin Wang; Jiayu Zhang
Journal:  Molecules       Date:  2018-01-12       Impact factor: 4.411

3.  Chemical Constituent Profiling of Paecilomyces cicadae Liquid Fermentation for Astragli Radix.

Authors:  Yuqi Wang; Xiaodan Mei; Zihan Liu; Jie Li; Xiaoxin Zhang; Shaoping Wang; Zikai Geng; Long Dai; Jiayu Zhang
Journal:  Molecules       Date:  2019-08-14       Impact factor: 4.411

4.  β-Cyclodextrin Assisted Liquid-Liquid Microextraction Based on Solidification of the Floating Organic Droplets Method for Determination of Neonicotinoid Residues.

Authors:  Jitlada Vichapong; Khwankaew Moyakao; Rawikan Kachangoon; Rodjana Burakham; Yanawath Santaladchaiyakit; Supalax Srijaranai
Journal:  Molecules       Date:  2019-10-31       Impact factor: 4.411

5.  A Comprehensive Screening and Identification of Genistin Metabolites in Rats Based on Multiple Metabolite Templates Combined with UHPLC-HRMS Analysis.

Authors:  Yaoyue Liang; Wenjing Zhao; Chenxiao Wang; Zijian Wang; Zhibin Wang; Jiayu Zhang
Journal:  Molecules       Date:  2018-07-26       Impact factor: 4.411

6.  Drug Metabolite Cluster-Based Data-Mining Method for Comprehensive Metabolism Study of 5-hydroxy-6,7,3',4'-tetramethoxyflavone in Rats.

Authors:  Yuqi Wang; Xiaodan Mei; Zihan Liu; Jie Li; Xiaoxin Zhang; Shuang Lang; Long Dai; Jiayu Zhang
Journal:  Molecules       Date:  2019-09-09       Impact factor: 4.411

  6 in total

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