Literature DB >> 35819478

An interaction of inorganic arsenic exposure with body weight and composition on type 2 diabetes indicators in Diversity Outbred mice.

James G Xenakis1,2, Christelle Douillet3, Timothy A Bell1, Pablo Hock1, Joseph Farrington1, Tianyi Liu4, Caroline E Y Murphy1, Avani Saraswatula1, Ginger D Shaw1,5, Gustavo Nativio6, Qing Shi3, Abhishek Venkatratnam3,6, Fei Zou4, Rebecca C Fry7,8,9, Miroslav Stýblo10,11,12, Fernando Pardo-Manuel de Villena13,14.   

Abstract

Type 2 diabetes (T2D) is a complex metabolic disorder with no cure and high morbidity. Exposure to inorganic arsenic (iAs), a ubiquitous environmental contaminant, is associated with increased T2D risk. Despite growing evidence linking iAs exposure to T2D, the factors underlying inter-individual differences in susceptibility remain unclear. This study examined the interaction between chronic iAs exposure and body composition in a cohort of 75 Diversity Outbred mice. The study design mimics that of an exposed human population where the genetic diversity of the mice provides the variation in response, in contrast to a design that includes untreated mice. Male mice were exposed to iAs in drinking water (100 ppb) for 26 weeks. Metabolic indicators used as diabetes surrogates included fasting blood glucose and plasma insulin (FBG, FPI), blood glucose and plasma insulin 15 min after glucose challenge (BG15, PI15), homeostatic model assessment for [Formula: see text]-cell function and insulin resistance (HOMA-B, HOMA-IR), and insulinogenic index. Body composition was determined using magnetic resonance imaging, and the concentrations of iAs and its methylated metabolites were measured in liver and urine. Associations between cumulative iAs consumption and FPI, PI15, HOMA-B, and HOMA-IR manifested as significant interactions between iAs and body weight/composition. Arsenic speciation analyses in liver and urine suggest little variation in the mice's ability to metabolize iAs. The observed interactions accord with current research aiming to disentangle the effects of multiple complex factors on T2D risk, highlighting the need for further research on iAs metabolism and its consequences in genetically diverse mouse strains.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Year:  2022        PMID: 35819478     DOI: 10.1007/s00335-022-09957-w

Source DB:  PubMed          Journal:  Mamm Genome        ISSN: 0938-8990            Impact factor:   3.224


  39 in total

1.  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

2.  Obesity and increased susceptibility to arsenic-related type 2 diabetes in Northern Chile.

Authors:  Felicia Castriota; Johanna Acevedo; Catterina Ferreccio; Allan H Smith; Jane Liaw; Martyn T Smith; Craig Steinmaus
Journal:  Environ Res       Date:  2018-07-27       Impact factor: 6.498

3.  The Diversity Outbred mouse population.

Authors:  Gary A Churchill; Daniel M Gatti; Steven C Munger; Karen L Svenson
Journal:  Mamm Genome       Date:  2012-08-15       Impact factor: 2.957

4.  Human exposure to dietary inorganic arsenic and other arsenic species: State of knowledge, gaps and uncertainties.

Authors:  Francesco Cubadda; Brian P Jackson; Kathryn L Cottingham; Yoshira Ornelas Van Horne; Margaret Kurzius-Spencer
Journal:  Sci Total Environ       Date:  2016-11-30       Impact factor: 7.963

5.  Disruption of the arsenic (+3 oxidation state) methyltransferase gene in the mouse alters the phenotype for methylation of arsenic and affects distribution and retention of orally administered arsenate.

Authors:  Zuzana Drobna; Hua Naranmandura; Kevin M Kubachka; Brenda C Edwards; Karen Herbin-Davis; Miroslav Styblo; X Chris Le; John T Creed; Noboyu Maeda; Michael F Hughes; David J Thomas
Journal:  Chem Res Toxicol       Date:  2009-10       Impact factor: 3.739

6.  Development of a human physiologically based pharmacokinetic (PBPK) model for inorganic arsenic and its mono- and di-methylated metabolites.

Authors:  Hisham A El-Masri; Elaina M Kenyon
Journal:  J Pharmacokinet Pharmacodyn       Date:  2007-10-18       Impact factor: 2.745

Review 7.  A feat of metabolic proportions: Pdx1 orchestrates islet development and function in the maintenance of glucose homeostasis.

Authors:  Daniella A Babu; Tye G Deering; Raghavendra G Mirmira
Journal:  Mol Genet Metab       Date:  2007-07-30       Impact factor: 4.797

8.  Diverse genetic backgrounds play a prominent role in the metabolic phenotype of CC021/Unc and CC027/GeniUNC mice exposed to inorganic arsenic.

Authors:  Christelle Douillet; Jinglin Ji; Immaneni Lakshmi Meenakshi; Kun Lu; Fernando Pardo-Manuel de Villena; Rebecca C Fry; Miroslav Stýblo
Journal:  Toxicology       Date:  2021-01-29       Impact factor: 4.221

Review 9.  Individual variations in inorganic arsenic metabolism associated with AS3MT genetic polymorphisms.

Authors:  Tetsuro Agusa; Junko Fujihara; Haruo Takeshita; Hisato Iwata
Journal:  Int J Mol Sci       Date:  2011-04-04       Impact factor: 5.923

10.  Diversity Outbred Mice at 21: Maintaining Allelic Variation in the Face of Selection.

Authors:  Elissa J Chesler; Daniel M Gatti; Andrew P Morgan; Marge Strobel; Laura Trepanier; Denesa Oberbeck; Shannon McWeeney; Robert Hitzemann; Martin Ferris; Rachel McMullan; Amelia Clayshultle; Timothy A Bell; Fernando Pardo Manuel de Villena; Gary A Churchill
Journal:  G3 (Bethesda)       Date:  2016-12-07       Impact factor: 3.154

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