Literature DB >> 18677417

Speciation analysis of arsenic in biological matrices by automated hydride generation-cryotrapping-atomic absorption spectrometry with multiple microflame quartz tube atomizer (multiatomizer).

Araceli Hernández-Zavala1, Tomáš Matoušek, Zuzana Drobná, David S Paul, Felecia Walton, Blakely M Adair, Dědina Jiří, David J Thomas, Miroslav Stýblo.   

Abstract

Analyses of arsenic (As) species in tissues and body fluids of individuals chronically exposed to inorganic arsenic (iAs) provide essential information about the exposure level and pattern of iAs metabolism. We have previously described an oxidation state-specific analysis of As species in biological matrices by hydride-generation atomic absorption spectrometry (HG-AAS), using cryotrapping (CT) for preconcentration and separation of arsines. To improve performance and detection limits of the method, HG and CT steps are automated and a conventional flame-in-tube atomizer replaced with a recently developed multiple microflame quartz tube atomizer (multiatomizer). In this system, arsines from As(III)-species are generated in a mixture of Tris-HCl (pH 6) and sodium borohydride. For generation of arsines from both As(III)- and As(V)-species, samples are pretreated with L-cysteine. Under these conditions, dimethylthioarsinic acid, a newly described metabolite of iAs, does not interfere significantly with detection and quantification of methylated trivalent arsenicals. Analytical performance of the automated HG-CT-AAS was characterized by analyses of cultured cells and mouse tissues that contained mono- and dimethylated metabolites of iAs. The capacity to detect methylated As(III)- and As(V)-species was verified, using an in vitro methylation system containing recombinant rat arsenic (+3 oxidation state) methyltransferase and cultured rat hepatocytes treated with iAs. Compared with the previous HG-CT-AAS design, detection limits for iAs and its metabolites have improved significantly with the current system, ranging from 8 to 20 pg. Recoveries of As were between 78 and 117%. The precision of the method was better than 5% for all biological matrices examined. Thus, the automated HG-CT-AAS system provides an effective and sensitive tool for analysis of all major human metabolites of iAs in complex biological matrices.

Entities:  

Year:  2008        PMID: 18677417      PMCID: PMC2493051          DOI: 10.1039/b706144g

Source DB:  PubMed          Journal:  J Anal At Spectrom        ISSN: 0267-9477            Impact factor:   4.023


  29 in total

Review 1.  Arsenic (+3 oxidation state) methyltransferase and the methylation of arsenicals.

Authors:  David J Thomas; Jiaxin Li; Stephen B Waters; Weibing Xing; Blakely M Adair; Zuzana Drobna; Vicenta Devesa; Miroslav Styblo
Journal:  Exp Biol Med (Maywood)       Date:  2007-01

2.  Thio-dimethylarsinate is a common metabolite in urine samples from arsenic-exposed women in Bangladesh.

Authors:  Reingard Raml; Alice Rumpler; Walter Goessler; Marie Vahter; Li Li; Takafumi Ochi; Kevin A Francesconi
Journal:  Toxicol Appl Pharmacol       Date:  2006-12-22       Impact factor: 4.219

3.  Improved chromatographic separation of thio-arsenic compounds by reversed-phase high performance liquid chromatography-inductively coupled plasma mass spectrometry.

Authors:  Reingard Raml; Walter Goessler; Kevin A Francesconi
Journal:  J Chromatogr A       Date:  2006-07-18       Impact factor: 4.759

4.  Chromatographic separation and identification of products from the reaction of dimethylarsinic acid with hydrogen sulfide.

Authors:  Michael W Fricke; Matthias Zeller; Hongsui Sun; Vivian W-M Lai; William R Cullen; Jody A Shoemaker; Mark R Witkowski; John T Creed
Journal:  Chem Res Toxicol       Date:  2005-12       Impact factor: 3.739

5.  Glutathione modulates recombinant rat arsenic (+3 oxidation state) methyltransferase-catalyzed formation of trimethylarsine oxide and trimethylarsine.

Authors:  Stephen B Waters; Vicenta Devesa; Michael W Fricke; John T Creed; Miroslav Stýblo; David J Thomas
Journal:  Chem Res Toxicol       Date:  2004-12       Impact factor: 3.739

6.  shRNA silencing of AS3MT expression minimizes arsenic methylation capacity of HepG2 cells.

Authors:  Zuzana Drobna; Weibing Xing; David J Thomas; Miroslav Stýblo
Journal:  Chem Res Toxicol       Date:  2006-07       Impact factor: 3.739

7.  Possible role of dimethylarsinous acid in dimethylarsinic acid-induced urothelial toxicity and regeneration in the rat.

Authors:  Samuel M Cohen; Lora L Arnold; Eva Uzvolgyi; Martin Cano; Margaret St John; Shinji Yamamoto; Xiufen Lu; X Chris Le
Journal:  Chem Res Toxicol       Date:  2002-09       Impact factor: 3.739

Review 8.  The cellular metabolism and systemic toxicity of arsenic.

Authors:  D J Thomas; M Styblo; S Lin
Journal:  Toxicol Appl Pharmacol       Date:  2001-10-15       Impact factor: 4.219

9.  Metabolism and toxicity of arsenic in human urothelial cells expressing rat arsenic (+3 oxidation state)-methyltransferase.

Authors:  Zuzana Drobná; Stephen B Waters; Vicenta Devesa; Anne W Harmon; David J Thomas; Miroslav Stýblo
Journal:  Toxicol Appl Pharmacol       Date:  2005-09-01       Impact factor: 4.219

10.  Speciation of arsenic in biological samples.

Authors:  Badal Kumar Mandal; Yasumitsu Ogra; Kazunori Anzai; Kazuo T Suzuki
Journal:  Toxicol Appl Pharmacol       Date:  2004-08-01       Impact factor: 4.219

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  49 in total

1.  Expression of AS3MT alters transcriptional profiles in human urothelial cells exposed to arsenite.

Authors:  Sd Hester; Z Drobná; Dmk Andrews; J Liu; Mp Waalkes; Dj Thomas; M Styblo
Journal:  Hum Exp Toxicol       Date:  2009-01       Impact factor: 2.903

2.  Selective hydride generation- cryotrapping- ICP-MS for arsenic speciation analysis at picogram levels: analysis of river and sea water reference materials and human bladder epithelial cells.

Authors:  Tomáš Matoušek; Jenna M Currier; Nikola Trojánková; R Jesse Saunders; María C Ishida; Carmen González-Horta; Stanislav Musil; Zoltán Mester; Miroslav Stýblo; Jiří Dědina
Journal:  J Anal At Spectrom       Date:  2013-09-01       Impact factor: 4.023

3.  Direct analysis and stability of methylated trivalent arsenic metabolites in cells and tissues.

Authors:  Jenna M Currier; Milan Svoboda; Tomáš Matoušek; Jiří Dědina; Miroslav Stýblo
Journal:  Metallomics       Date:  2011-10-21       Impact factor: 4.526

4.  Efflux Transporters Regulate Arsenite-Induced Genotoxicity in Double Negative and Double Positive T Cells.

Authors:  Huan Xu; Sebastian Medina; Fredine T Lauer; Christelle Douillet; Ke Jian Liu; Laurie G Hudson; Miroslav Stýblo; Lauren M Aleksunes; Scott W Burchiel
Journal:  Toxicol Sci       Date:  2017-07-01       Impact factor: 4.849

5.  Identification of novel gene targets and putative regulators of arsenic-associated DNA methylation in human urothelial cells and bladder cancer.

Authors:  Julia E Rager; Sloane K Tilley; Samantha E Tulenko; Lisa Smeester; Paul D Ray; Andrew Yosim; Jenna M Currier; María C Ishida; Maria Del Carmen González-Horta; Blanca Sánchez-Ramírez; Lourdes Ballinas-Casarrubias; Daniela S Gutiérrez-Torres; Zuzana Drobná; Luz M Del Razo; Gonzalo G García-Vargas; William Y Kim; Yi-Hui Zhou; Fred A Wright; Miroslav Stýblo; Rebecca C Fry
Journal:  Chem Res Toxicol       Date:  2015-06-03       Impact factor: 3.739

6.  Direct Speciation Analysis of Arsenic in Whole Blood and Blood Plasma at Low Exposure Levels by Hydride Generation-Cryotrapping-Inductively Coupled Plasma Mass Spectrometry.

Authors:  Tomáš Matoušek; Zhifeng Wang; Christelle Douillet; Stanislav Musil; Miroslav Stýblo
Journal:  Anal Chem       Date:  2017-08-28       Impact factor: 6.986

7.  Extraction tool and matrix effects on arsenic speciation analysis in cell lines.

Authors:  Lucy Yehiayan; Nellymar Membreno; Shannon Matulis; Lawrence H Boise; Yong Cai
Journal:  Anal Chim Acta       Date:  2011-05-27       Impact factor: 6.558

8.  Environmental exposure to arsenic, AS3MT polymorphism and prevalence of diabetes in Mexico.

Authors:  Zuzana Drobná; Luz M Del Razo; Gonzalo G García-Vargas; Luz C Sánchez-Peña; Angel Barrera-Hernández; Miroslav Stýblo; Dana Loomis
Journal:  J Expo Sci Environ Epidemiol       Date:  2012-10-24       Impact factor: 5.563

9.  Arsenic (+ 3 oxidation state) methyltransferase and the methylation of arsenicals in the invertebrate chordate Ciona intestinalis.

Authors:  David J Thomas; Gerardo M Nava; Shi-Ying Cai; James L Boyer; Araceli Hernández-Zavala; H Rex Gaskins
Journal:  Toxicol Sci       Date:  2009-10-15       Impact factor: 4.849

10.  On-line pre-reduction of pentavalent arsenicals by thioglycolic acid for speciation analysis by selective hydride generation-cryotrapping-atomic absorption spectrometry.

Authors:  Stanislav Musil; Tomáš Matoušek
Journal:  Spectrochim Acta Part B At Spectrosc       Date:  2008-06       Impact factor: 3.752

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