Literature DB >> 21894985

Explanation for main features of structure-genotoxicity relationships of aromatic amines by theoretical studies of their activation pathways in CYP1A2.

Igor Shamovsky1, Lena Ripa, Lena Börjesson, Christine Mee, Bo Nordén, Peter Hansen, Catrin Hasselgren, Mike O'Donovan, Peter Sjö.   

Abstract

Aromatic and heteroaromatic amines (ArNH(2)) represent a class of potential mutagens that after being metabolically activated covalently modify DNA. Activation of ArNH(2) in many cases starts with N-hydroxylation by P450 enzymes, primarily CYP1A2. Poor understanding of structure-mutagenicity relationships of ArNH(2) limits their use in drug discovery programs. Key factors that facilitate activation of ArNH(2) are revealed by exploring their reaction intermediates in CYP1A2 using DFT calculations. On the basis of these calculations and extensive analysis of structure-mutagenicity data, we suggest that mutagenic metabolites are generated by ferric peroxo intermediate, (CYP1A2)Fe(III)-OO(-), in a three-step heterolytic mechanism. First, the distal oxygen of the oxidant abstracts proton from H-bonded ArNH(2). The subsequent proximal protonation of the resulting (CYP1A2)Fe(III)-OOH weakens both the O-O and the O-H bonds of the oxidant. Heterolytic cleavage of the O-O bond leads to N-hydroxylation of ArNH(-) via S(N)2 mechanism, whereas cleavage of the O-H bond results in release of hydroperoxy radical. Thus, our proposed reaction offers a mechanistic explanation for previous observations that metabolism of aromatic amines could cause oxidative stress. The primary drivers for mutagenic potency of ArNH(2) are (i) binding affinity of ArNH(2) in the productive binding mode within the CYP1A2 substrate cavity, (ii) resonance stabilization of the anionic forms of ArNH(2), and (iii) exothermicity of proton-assisted heterolytic cleavage of N-O bonds of hydroxylamines and their bioconjugates. This leads to a strategy for designing mutagenicity free ArNH(2): Structural alterations in ArNH(2), which disrupt geometric compatibility with CYP1A2, hinder proton abstraction, or strongly destabilize the nitrenium ion, in this order of priority, prevent genotoxicity.

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Year:  2011        PMID: 21894985     DOI: 10.1021/ja206427u

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  6 in total

1.  Influence of Heat Treatment of Electrospun Carbon Nanofibers on Biological Response.

Authors:  Jaroslaw Markowski; Marcel Zambrzycki; Wojciech Smolka; Agnieszka Panek; Maciej Gubernat; Paweł Czaja; Mateusz Marzec; Aneta Fraczek-Szczypta
Journal:  Int J Mol Sci       Date:  2022-06-03       Impact factor: 6.208

2.  An investigation into pharmaceutically relevant mutagenicity data and the influence on Ames predictive potential.

Authors:  Patrick McCarren; Clayton Springer; Lewis Whitehead
Journal:  J Cheminform       Date:  2011-11-22       Impact factor: 5.514

3.  Discovery and Optimization of 5-Amino-1,2,3-triazole-4-carboxamide Series against Trypanosoma cruzi.

Authors:  Stephen Brand; Eun Jung Ko; Elisabet Viayna; Stephen Thompson; Daniel Spinks; Michael Thomas; Lars Sandberg; Amanda F Francisco; Shiromani Jayawardhana; Victoria C Smith; Chimed Jansen; Manu De Rycker; John Thomas; Lorna MacLean; Maria Osuna-Cabello; Jennifer Riley; Paul Scullion; Laste Stojanovski; Frederick R C Simeons; Ola Epemolu; Yoko Shishikura; Sabrinia D Crouch; Tania S Bakshi; Christopher J Nixon; Iain H Reid; Alan P Hill; Tim Z Underwood; Sean J Hindley; Sharon A Robinson; John M Kelly; Jose M Fiandor; Paul G Wyatt; Maria Marco; Timothy J Miles; Kevin D Read; Ian H Gilbert
Journal:  J Med Chem       Date:  2017-08-27       Impact factor: 7.446

4.  Predicting Aromatic Amine Mutagenicity with Confidence: A Case Study Using Conformal Prediction.

Authors:  Ulf Norinder; Glenn Myatt; Ernst Ahlberg
Journal:  Biomolecules       Date:  2018-08-29

5.  A local QSAR model based on the stability of nitrenium ions to support the ICH M7 expert review on the mutagenicity of primary aromatic amines.

Authors:  Ayaka Furukawa; Satoshi Ono; Katsuya Yamada; Nao Torimoto; Mahoko Asayama; Shigeharu Muto
Journal:  Genes Environ       Date:  2022-03-21

Review 6.  Computer-aided drug discovery.

Authors:  Jürgen Bajorath
Journal:  F1000Res       Date:  2015-08-26
  6 in total

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