Literature DB >> 22231508

Simultaneous quantitation of urinary cotinine and acrylonitrile-derived mercapturic acids with ultraperformance liquid chromatography-tandem mass spectrometry.

Chia-Fang Wu1, Shi-Nian Uang, Su-Yin Chiang, Wei-Chung Shih, Yu-Fang Huang, Kuen-Yuh Wu.   

Abstract

Acrylonitrile (AN), a widely used industrial chemical also found in tobacco smoke, has been classified as a possible human carcinogen (group 2B) by the International Agency for Research on Cancer. AN can be detoxified by glutathione S-transferase (GST) to form glutathione (GSH) conjugates in vivo. It can be metabolically activated by cytochrome P450 2E1 to form 2-cyanoethylene oxide, which can also be detoxified by GST to generate GSH conjugates. The GSH conjugates can be further metabolized to mercapturic acids (MAs), namely, N-acetyl-S-(2-cyanoethyl)cysteine (CEMA), N-acetyl-S-(2-hydroxyethyl)cysteine (HEMA), and N-acetyl-S-(1-cyano-2-hydroxyethyl)cysteine (CHEMA). This study developed an ultraperformance liquid chromatography coupled with tandem mass spectrometry (UPLC-MS/MS) method to quantitatively profile the major AN urinary metabolites (CEMA, HEMA, and CHEMA) to assess AN exposure, as well as analyze urinary cotinine (COT) as an indicator for tobacco smoke exposure. The limits of quantitation were 0.1, 0.1, 1.0, and 0.05 μg/L for HEMA, CEMA, CHEMA, and COT, respectively. This method was applied to analyze the three AN-derived MAs in 36 volunteers with no prior occupational AN exposure. Data analysis showed significant correlations between the level of COT and the levels of these MAs, suggesting them as biomarkers for exposure to low levels of AN. The results demonstrate that a highly specific and sensitive UPLC-MS/MS method has been successfully developed to quantitatively profile the major urinary metabolites of AN in humans to assess low AN exposure.

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Year:  2012        PMID: 22231508     DOI: 10.1007/s00216-011-5661-4

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  6 in total

1.  Analysis of Biomarkers of DNA Damage and Mutagenicity in Mice Exposed to Acrylonitrile.

Authors:  Vernon E Walker; Dale M Walker; Burhan I Ghanayem; George R Douglas
Journal:  Chem Res Toxicol       Date:  2020-06-28       Impact factor: 3.739

Review 2.  Mercapturic acids: recent advances in their determination by liquid chromatography/mass spectrometry and their use in toxicant metabolism studies and in occupational and environmental exposure studies.

Authors:  Patricia I Mathias; Clayton B'hymer
Journal:  Biomarkers       Date:  2016-02-22       Impact factor: 2.658

3.  Simultaneous measurement of urinary total nicotine and cotinine as biomarkers of active and passive smoking among Japanese individuals.

Authors:  Akiko Matsumoto; Akane Matsumoto; Masayoshi Ichiba; Nicole M Payton; Hirotaka Oishi; Megumi Hara
Journal:  Environ Health Prev Med       Date:  2012-09-26       Impact factor: 3.674

Review 4.  A survey of liquid chromatographic-mass spectrometric analysis of mercapturic acid biomarkers in occupational and environmental exposure monitoring.

Authors:  Patricia I Mathias; Clayton B'Hymer
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2014-03-12       Impact factor: 3.205

5.  Urinary Cyanoethyl Mercapturic Acid, a Biomarker of the Smoke Toxicant Acrylonitrile, Clearly Distinguishes Smokers From Nonsmokers.

Authors:  Xianghua Luo; Steven G Carmella; Menglan Chen; Joni A Jensen; Lynne R Wilkens; Loic Le Marchand; Dorothy K Hatsukami; Sharon E Murphy; Stephen S Hecht
Journal:  Nicotine Tob Res       Date:  2020-10-08       Impact factor: 4.244

6.  Longitudinal stability in cigarette smokers of urinary biomarkers of exposure to the toxicants acrylonitrile and acrolein.

Authors:  Menglan Chen; Steven G Carmella; Chistopher Sipe; Joni Jensen; Xianghua Luo; Chap T Le; Sharon E Murphy; Neal L Benowitz; F Joseph McClernon; Ryan Vandrey; Sharon S Allen; Rachel Denlinger-Apte; Paul M Cinciripini; Andrew A Strasser; Mustafa al'Absi; Jason D Robinson; Eric C Donny; Dorothy Hatsukami; Stephen S Hecht
Journal:  PLoS One       Date:  2019-01-04       Impact factor: 3.240

  6 in total

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