Literature DB >> 26883664

Metabolomic profiles of arsenic (+3 oxidation state) methyltransferase knockout mice: effect of sex and arsenic exposure.

Madelyn C Huang1, Christelle Douillet2, Mingming Su3, Kejun Zhou3, Tao Wu3, Wenlian Chen3, Joseph A Galanko4, Zuzana Drobná2, R Jesse Saunders2, Elizabeth Martin5, Rebecca C Fry5, Wei Jia3, Miroslav Stýblo6,7.   

Abstract

Arsenic (+3 oxidation state) methyltransferase (As3mt) is the key enzyme in the pathway for methylation of inorganic arsenic (iAs). Altered As3mt expression and AS3MT polymorphism have been linked to changes in iAs metabolism and in susceptibility to iAs toxicity in laboratory models and in humans. As3mt-knockout mice have been used to study the association between iAs metabolism and adverse effects of iAs exposure. However, little is known about systemic changes in metabolism of these mice and how these changes lead to their increased susceptibility to iAs toxicity. Here, we compared plasma and urinary metabolomes of male and female wild-type (WT) and As3mt-KO (KO) C57BL/6 mice and examined metabolomic shifts associated with iAs exposure in drinking water. Surprisingly, exposure to 1 ppm As elicited only small changes in the metabolite profiles of either WT or KO mice. In contrast, comparisons of KO mice with WT mice revealed significant differences in plasma and urinary metabolites associated with lipid (phosphatidylcholines, cytidine, acyl-carnitine), amino acid (hippuric acid, acetylglycine, urea), and carbohydrate (L-sorbose, galactonic acid, gluconic acid) metabolism. Notably, most of these differences were sex specific. Sex-specific differences were also found between WT and KO mice in plasma triglyceride and lipoprotein cholesterol levels. Some of the differentially changed metabolites (phosphatidylcholines, carnosine, and sarcosine) are substrates or products of reactions catalyzed by other methyltransferases. These results suggest that As3mt KO alters major metabolic pathways in a sex-specific manner, independent of iAs treatment, and that As3mt may be involved in other cellular processes beyond iAs methylation.

Entities:  

Keywords:  Arsenic; As3mt knockout; Metabolomics; Mice; Plasma; Urine

Mesh:

Substances:

Year:  2016        PMID: 26883664      PMCID: PMC4987274          DOI: 10.1007/s00204-016-1676-0

Source DB:  PubMed          Journal:  Arch Toxicol        ISSN: 0340-5761            Impact factor:   5.153


  49 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.  Labile methyl group balances in the human: the role of sarcosine.

Authors:  S H Mudd; M H Ebert; C R Scriver
Journal:  Metabolism       Date:  1980-08       Impact factor: 8.694

3.  The active synthesis of phosphatidylcholine is required for very low density lipoprotein secretion from rat hepatocytes.

Authors:  Z M Yao; D E Vance
Journal:  J Biol Chem       Date:  1988-02-25       Impact factor: 5.157

4.  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

Review 5.  Hippurate: the natural history of a mammalian-microbial cometabolite.

Authors:  Hannah J Lees; Jonathan R Swann; Ian D Wilson; Jeremy K Nicholson; Elaine Holmes
Journal:  J Proteome Res       Date:  2013-03-06       Impact factor: 4.466

Review 6.  Glycine N-methyltransferase and regulation of S-adenosylmethionine levels.

Authors:  Zigmund Luka; S Harvey Mudd; Conrad Wagner
Journal:  J Biol Chem       Date:  2009-05-29       Impact factor: 5.157

Review 7.  Physiology and pathophysiology of carnosine.

Authors:  Alexander A Boldyrev; Giancarlo Aldini; Wim Derave
Journal:  Physiol Rev       Date:  2013-10       Impact factor: 37.312

Review 8.  A review on environmental factors regulating arsenic methylation in humans.

Authors:  Chin-Hsiao Tseng
Journal:  Toxicol Appl Pharmacol       Date:  2008-12-30       Impact factor: 4.219

9.  Metabolites related to gut bacterial metabolism, peroxisome proliferator-activated receptor-alpha activation, and insulin sensitivity are associated with physical function in functionally-limited older adults.

Authors:  Michael S Lustgarten; Lori L Price; Angela Chalé; Roger A Fielding
Journal:  Aging Cell       Date:  2014-07-18       Impact factor: 9.304

10.  Urinary metabolomics revealed arsenic internal dose-related metabolic alterations: a proof-of-concept study in a Chinese male cohort.

Authors:  Jie Zhang; Heqing Shen; Weipan Xu; Yankai Xia; Dana Boyd Barr; Xiaoli Mu; Xiaoxue Wang; Liangpo Liu; Qingyu Huang; Meiping Tian
Journal:  Environ Sci Technol       Date:  2014-10-02       Impact factor: 9.028

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  11 in total

1.  In utero exposure to arsenite contributes to metabolic and reproductive dysfunction in male offspring of CD-1 mice.

Authors:  Karina F Rodriguez; Namya Mellouk; Erica K Ungewitter; Barbara Nicol; Chang Liu; Paula R Brown; Cynthia J Willson; Humphrey H-C Yao
Journal:  Reprod Toxicol       Date:  2020-05-17       Impact factor: 3.143

2.  Knockout of arsenic (+3 oxidation state) methyltransferase is associated with adverse metabolic phenotype in mice: the role of sex and arsenic exposure.

Authors:  Christelle Douillet; Madelyn C Huang; R Jesse Saunders; Ellen N Dover; Chongben Zhang; Miroslav Stýblo
Journal:  Arch Toxicol       Date:  2016-11-15       Impact factor: 5.153

3.  Knockout of arsenic (+3 oxidation state) methyltransferase results in sex-dependent changes in phosphatidylcholine metabolism in mice.

Authors:  Madelyn C Huang; Christelle C Douillet; Miroslav Stýblo
Journal:  Arch Toxicol       Date:  2016-09-03       Impact factor: 5.153

4.  Effects of Preconception and in Utero Inorganic Arsenic Exposure on the Metabolic Phenotype of Genetically Diverse Collaborative Cross Mice.

Authors:  Rebecca C Fry; Kezia A Addo; Timothy A Bell; Christelle Douillet; Elizabeth Martin; Miroslav Stýblo; Fernando Pardo-Manuel de Villena
Journal:  Chem Res Toxicol       Date:  2019-07-08       Impact factor: 3.739

Review 5.  Application of metabolomics to characterize environmental pollutant toxicity and disease risks.

Authors:  Pan Deng; Xusheng Li; Michael C Petriello; Chunyan Wang; Andrew J Morris; Bernhard Hennig
Journal:  Rev Environ Health       Date:  2019-09-25       Impact factor: 4.022

6.  Arsenic 3 methyltransferase (AS3MT) automethylates on cysteine residues in vitro.

Authors:  Sofiane Y Mersaoui; Cynthia Guilbert; Hsiang Chou; Christelle Douillet; D Scott Bohle; Miroslav Stýblo; Stéphane Richard; Koren K Mann
Journal:  Arch Toxicol       Date:  2022-03-04       Impact factor: 6.168

7.  Lipid Metabolism Alterations in a Rat Model of Chronic and Intergenerational Exposure to Arsenic.

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Journal:  Biomed Res Int       Date:  2019-10-15       Impact factor: 3.411

8.  Gender difference in arsenic biotransformation is an important metabolic basis for arsenic toxicity.

Authors:  Maihaba Muhetaer; Mei Yang; Rongxiang Xia; Yuanyan Lai; Jun Wu
Journal:  BMC Pharmacol Toxicol       Date:  2022-02-28       Impact factor: 2.483

9.  Effects of Inorganic Arsenic, Methylated Arsenicals, and Arsenobetaine on Atherosclerosis in the Mouse Model and the Role of As3mt-Mediated Methylation.

Authors:  Luis Fernando Negro Silva; Maryse Lemaire; Catherine A Lemarié; Dany Plourde; Alicia M Bolt; Christopher Chiavatti; D Scott Bohle; Vesna Slavkovich; Joseph H Graziano; Stéphanie Lehoux; Koren K Mann
Journal:  Environ Health Perspect       Date:  2017-07-05       Impact factor: 9.031

10.  Gene-environment interaction and maternal arsenic methylation efficiency during pregnancy.

Authors:  Shangzhi Gao; Md Golam Mostofa; Quazi Quamruzzaman; Mahmudur Rahman; Mohammad Rahman; Li Su; Yu-Mei Hsueh; Marc Weisskopf; Brent Coull; David C Christiani
Journal:  Environ Int       Date:  2019-01-28       Impact factor: 9.621

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