Literature DB >> 16533017

Cyanide trapping of iminium ion reactive intermediates followed by detection and structure identification using liquid chromatography-tandem mass spectrometry (LC-MS/MS).

Dayana Argoti1, Li Liang, Abdul Conteh, Liangfu Chen, Dave Bershas, Chung-Ping Yu, Paul Vouros, Eric Yang.   

Abstract

Secondary and tertiary alicyclic amines are widely found in pharmaceuticals and environmental compounds. The formation of iminium ions as reactive intermediates in the metabolic activation of alicyclic amines has previously been investigated in radiometric assays where radiolabeled cyanide is typically employed. In this paper, we report a relatively high throughput LC-MS/MS method for the detection of the nonradiolabeled cyanide adduct formed in rat or human liver microsomal incubations via constant neutral loss scan followed by structural characterization using product ion scan on a triple quadrupole mass spectrometer. A total of 14 alicyclic amine compounds were investigated with the cyanide trapping LC-MS/MS screen and also with the glutathione (GSH) trapping screen, a well-established and commonly employed technique for reactive metabolite screening. Our results are found to be in general agreement with the previous metabolism reports for these compounds, demonstrating the effectiveness, speed, and simplicity of the cyanide trapping LC-MS/MS method to study the iminium ion intermediates from alicyclic amines and its complementarities to GSH trapping method for reactive metabolite screenings.

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Year:  2005        PMID: 16533017     DOI: 10.1021/tx0501637

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  13 in total

1.  Drug-drug interaction potential of marketed oncology drugs: in vitro assessment of time-dependent cytochrome P450 inhibition, reactive metabolite formation and drug-drug interaction prediction.

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2.  Simultaneous screening of glutathione and cyanide adducts using precursor ion and neutral loss scans-dependent product ion spectral acquisition and data mining tools.

Authors:  Wenying Jian; Hua-Fen Liu; Weiping Zhao; Elliott Jones; Mingshe Zhu
Journal:  J Am Soc Mass Spectrom       Date:  2012-03-06       Impact factor: 3.109

3.  Profiling the reactive metabolites of xenobiotics using metabolomic technologies.

Authors:  Feng Li; Jie Lu; Xiaochao Ma
Journal:  Chem Res Toxicol       Date:  2011-04-21       Impact factor: 3.739

Review 4.  Analytical tools and approaches for metabolite identification in early drug discovery.

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Journal:  Pharm Res       Date:  2006-10-18       Impact factor: 4.580

Review 5.  Deleterious effects of reactive metabolites.

Authors:  Sabry M Attia
Journal:  Oxid Med Cell Longev       Date:  2010 Jul-Aug       Impact factor: 6.543

6.  Modeling Small-Molecule Reactivity Identifies Promiscuous Bioactive Compounds.

Authors:  Matthew K Matlock; Tyler B Hughes; Jayme L Dahlin; S Joshua Swamidass
Journal:  J Chem Inf Model       Date:  2018-07-23       Impact factor: 6.162

7.  Metabolic Forest: Predicting the Diverse Structures of Drug Metabolites.

Authors:  Tyler B Hughes; Na Le Dang; Ayush Kumar; Noah R Flynn; S Joshua Swamidass
Journal:  J Chem Inf Model       Date:  2020-09-16       Impact factor: 4.956

8.  In Vitro Metabolism of Donepezil in Liver Microsomes Using Non-Targeted Metabolomics.

Authors:  Sin-Eun Kim; Hyung-Ju Seo; Yeojin Jeong; Gyung-Min Lee; Seung-Bae Ji; So-Young Park; Zhexue Wu; Sangkyu Lee; Sunghwan Kim; Kwang-Hyeon Liu
Journal:  Pharmaceutics       Date:  2021-06-23       Impact factor: 6.321

9.  Modeling Reactivity to Biological Macromolecules with a Deep Multitask Network.

Authors:  Tyler B Hughes; Na Le Dang; Grover P Miller; S Joshua Swamidass
Journal:  ACS Cent Sci       Date:  2016-07-29       Impact factor: 14.553

10.  Comparison of trapping profiles between d-peptides and glutathione in the identification of reactive metabolites.

Authors:  Jaana E Laine; Merja R Häkkinen; Seppo Auriola; Risto O Juvonen; Markku Pasanen
Journal:  Toxicol Rep       Date:  2015-07-09
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