Literature DB >> 26677206

Determinants and Consequences of Arsenic Metabolism Efficiency among 4,794 Individuals: Demographics, Lifestyle, Genetics, and Toxicity.

Rick J Jansen1, Maria Argos2, Lin Tong1, Jiabei Li1, Muhammad Rakibuz-Zaman3, Md Tariqul Islam3, Vesna Slavkovich4, Alauddin Ahmed3, Ana Navas-Acien5, Faruque Parvez4, Yu Chen6, Mary V Gamble4, Joseph H Graziano4, Brandon L Pierce7, Habibul Ahsan8.   

Abstract

BACKGROUND: Exposure to inorganic arsenic (iAs), a class I carcinogen, affects several hundred million people worldwide. Once absorbed, iAs is converted to monomethylated (MMA) and then dimethylated forms (DMA), with methylation facilitating urinary excretion. The abundance of each species in urine relative to their sum (iAs%, MMA%, and DMA%) varies across individuals, reflecting differences in arsenic metabolism capacity.
METHODS: The association of arsenic metabolism phenotypes with participant characteristics and arsenical skin lesions was characterized among 4,794 participants in the Health Effects of Arsenic Longitudinal Study (Araihazar, Bangladesh). Metabolism phenotypes include those obtained from principal component (PC) analysis of arsenic species.
RESULTS: Two independent PCs were identified: PC1 appears to represent capacity to produce DMA (second methylation step), and PC2 appears to represent capacity to convert iAs to MMA (first methylation step). PC1 was positively associated (P <0.05) with age, female sex, and BMI, while negatively associated with smoking, arsenic exposure, education, and land ownership. PC2 was positively associated with age and education but negatively associated with female sex and BMI. PC2 was positively associated with skin lesion status, while PC1 was not. 10q24.32/AS3MT region polymorphisms were strongly associated with PC1, but not PC2. Patterns of association for most variables were similar for PC1 and DMA%, and for PC2 and MMA% with the exception of arsenic exposure and SNP associations.
CONCLUSIONS: Two distinct arsenic metabolism phenotypes show unique associations with age, sex, BMI, 10q24.32 polymorphisms, and skin lesions. IMPACT: This work enhances our understanding of arsenic metabolism kinetics and toxicity risk profiles. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 26677206      PMCID: PMC4767610          DOI: 10.1158/1055-9965.EPI-15-0718

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  81 in total

1.  Arsenic exposure from drinking water and risk of premalignant skin lesions in Bangladesh: baseline results from the Health Effects of Arsenic Longitudinal Study.

Authors:  Habibul Ahsan; Yu Chen; Faruque Parvez; Lydia Zablotska; Maria Argos; Iftikhar Hussain; Hassina Momotaj; Diane Levy; Zhongqi Cheng; Vesna Slavkovich; Alexander van Geen; Geoffrey R Howe; Joseph H Graziano
Journal:  Am J Epidemiol       Date:  2006-04-19       Impact factor: 4.897

Review 2.  Influence of arsenate and arsenite on signal transduction pathways: an update.

Authors:  Ingrid L Druwe; Richard R Vaillancourt
Journal:  Arch Toxicol       Date:  2010-05-26       Impact factor: 5.153

3.  Human retention studies with 74As.

Authors:  C Pomroy; S M Charbonneau; R S McCullough; G K Tam
Journal:  Toxicol Appl Pharmacol       Date:  1980-05       Impact factor: 4.219

4.  GSTO and AS3MT genetic polymorphisms and differences in urinary arsenic concentrations among residents in Bangladesh.

Authors:  Ema G Rodrigues; Molly Kile; Elaine Hoffman; Quazi Quamruzzaman; Mahmuder Rahman; Golam Mahiuddin; Yumei Hsueh; David C Christiani
Journal:  Biomarkers       Date:  2012-02-18       Impact factor: 2.658

5.  Human monomethylarsonic acid (MMA(V)) reductase is a member of the glutathione-S-transferase superfamily.

Authors:  R A Zakharyan; A Sampayo-Reyes; S M Healy; G Tsaprailis; P G Board; D C Liebler; H V Aposhian
Journal:  Chem Res Toxicol       Date:  2001-08       Impact factor: 3.739

Review 6.  Oxidative stress as a possible mode of action for arsenic carcinogenesis.

Authors:  Kirk T Kitchin; Sarfaraz Ahmad
Journal:  Toxicol Lett       Date:  2003-01-31       Impact factor: 4.372

7.  Differences of urinary arsenic metabolites and methylation capacity between individuals with and without skin lesions in Inner Mongolia, Northern China.

Authors:  Qiang Zhang; Yongfang Li; Juan Liu; Da Wang; Quanmei Zheng; Guifan Sun
Journal:  Int J Environ Res Public Health       Date:  2014-07-18       Impact factor: 3.390

8.  Heritability and preliminary genome-wide linkage analysis of arsenic metabolites in urine.

Authors:  Maria Tellez-Plaza; Matthew O Gribble; V Saroja Voruganti; Kevin A Francesconi; Walter Goessler; Jason G Umans; Ellen K Silbergeld; Eliseo Guallar; Nora Franceschini; Kari E North; Wen H Kao; Jean W MacCluer; Shelley A Cole; Ana Navas-Acien
Journal:  Environ Health Perspect       Date:  2013-01-15       Impact factor: 9.031

9.  The Genetic Architecture of Arsenic Metabolism Efficiency:A SNP-Based Heritability Study of Bangladeshi Adults.

Authors:  Jianjun Gao; Lin Tong; Maria Argos; Molly Scannell Bryan; Alauddin Ahmed; Muhammad Rakibuz-Zaman; Muhammad G Kibriya; Farzana Jasmine; Vesna Slavkovich; Joseph H Graziano; Habibul Ahsan; Brandon L Pierce
Journal:  Environ Health Perspect       Date:  2015-03-13       Impact factor: 9.031

10.  Urinary and dietary analysis of 18,470 bangladeshis reveal a correlation of rice consumption with arsenic exposure and toxicity.

Authors:  Stephanie Melkonian; Maria Argos; Megan N Hall; Yu Chen; Faruque Parvez; Brandon Pierce; Hongyuan Cao; Briseis Aschebrook-Kilfoy; Alauddin Ahmed; Tariqul Islam; Vesna Slavcovich; Mary Gamble; Parvez I Haris; Joseph H Graziano; Habibul Ahsan
Journal:  PLoS One       Date:  2013-11-15       Impact factor: 3.240

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  27 in total

1.  Concentrations of urinary arsenic species in relation to rice and seafood consumption among children living in Spain.

Authors:  Antonio J Signes-Pastor; Jesus Vioque; Eva M Navarrete-Muñoz; Manus Carey; Manoli García de la Hera; Jordi Sunyer; Maribel Casas; Isolina Riaño-Galán; Adonina Tardón; Sabrina Llop; Rubén Amorós; Pilar Amiano; José R Bilbao; Margaret R Karagas; Andrew A Meharg
Journal:  Environ Res       Date:  2017-08-01       Impact factor: 6.498

2.  Mendelian randomization of inorganic arsenic metabolism as a risk factor for hypertension- and diabetes-related traits among adults in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) cohort.

Authors:  Molly Scannell Bryan; Tamar Sofer; Yasmin Mossavar-Rahmani; Bharat Thyagarajan; Donglin Zeng; Martha L Daviglus; Maria Argos
Journal:  Int J Epidemiol       Date:  2019-06-01       Impact factor: 7.196

3.  One-carbon metabolism nutrient intake and the association between body mass index and urinary arsenic metabolites in adults in the Chihuahua cohort.

Authors:  Paige A Bommarito; Xiaofan Xu; Carmen González-Horta; Blanca Sánchez-Ramirez; Lourdes Ballinas-Casarrubias; René Santos Luna; Susana Román Pérez; Juan Eugenio Hernández Ávila; Gonzalo G García-Vargas; Luz M Del Razo; Mirek Stýblo; Michelle A Mendez; Rebecca C Fry
Journal:  Environ Int       Date:  2018-12-13       Impact factor: 9.621

4.  Arsenic metabolism and one-carbon metabolism at low-moderate arsenic exposure: Evidence from the Strong Heart Study.

Authors:  Miranda Jones Spratlen; Mary V Gamble; Maria Grau-Perez; Chin-Chi Kuo; Lyle G Best; Joseph Yracheta; Kevin Francesconi; Walter Goessler; Yasmin Mossavar-Rahmani; Meghan Hall; Jason G Umans; Amanda Fretts; Ana Navas-Acien
Journal:  Food Chem Toxicol       Date:  2017-05-04       Impact factor: 6.023

5.  Multi-generational impacts of arsenic exposure on genome-wide DNA methylation and the implications for arsenic-induced skin lesions.

Authors:  Xiaojuan Guo; Xushen Chen; Jie Wang; Zhiyue Liu; Daniel Gaile; Hongmei Wu; Guan Yu; Guangyun Mao; Zuopeng Yang; Zhen Di; Xiuqing Guo; Li Cao; Peiye Chang; Binxian Kang; Jinyu Chen; Wen Gao; Xuefeng Ren
Journal:  Environ Int       Date:  2018-07-05       Impact factor: 9.621

6.  Inorganic arsenic exposure and neuropsychological development of children of 4-5 years of age living in Spain.

Authors:  Antonio J Signes-Pastor; Jesús Vioque; Eva M Navarrete-Muñoz; Manus Carey; Miguel García-Villarino; Ana Fernández-Somoano; Adonina Tardón; Loreto Santa-Marina; Amaia Irizar; Maribel Casas; Mònica Guxens; Sabrina Llop; Raquel Soler-Blasco; Manoli García-de-la-Hera; Margaret R Karagas; Andrew A Meharg
Journal:  Environ Res       Date:  2019-04-29       Impact factor: 6.498

7.  The Association of Arsenic Exposure and Arsenic Metabolism With the Metabolic Syndrome and Its Individual Components: Prospective Evidence From the Strong Heart Family Study.

Authors:  Miranda J Spratlen; Maria Grau-Perez; Lyle G Best; Joseph Yracheta; Mariana Lazo; Dhananjay Vaidya; Poojitha Balakrishnan; Mary V Gamble; Kevin A Francesconi; Walter Goessler; Shelley A Cole; Jason G Umans; Barbara V Howard; Ana Navas-Acien
Journal:  Am J Epidemiol       Date:  2018-08-01       Impact factor: 4.897

8.  Research Participants' Attitudes towards Receiving Information on Genetic Susceptibility to Arsenic Toxicity in Rural Bangladesh.

Authors:  Lizeth I Tamayo; Hannah Lin; Alauddin Ahmed; Hasan Shahriar; Rabiul Hasan; Golam Sarwar; Hem Mahbubul Eunus; Habibul Ahsan; Brandon L Pierce
Journal:  Public Health Genomics       Date:  2020-02-18       Impact factor: 2.000

9.  Circulating miRNAs Associated with Arsenic Exposure.

Authors:  Rowan Beck; Paige Bommarito; Christelle Douillet; Matt Kanke; Luz M Del Razo; Gonzalo García-Vargas; Rebecca C Fry; Praveen Sethupathy; Miroslav Stýblo
Journal:  Environ Sci Technol       Date:  2018-12-04       Impact factor: 9.028

Review 10.  Toenails as a biomarker of exposure to arsenic: A review.

Authors:  Antonio J Signes-Pastor; Enrique Gutiérrez-González; Miguel García-Villarino; Francisco D Rodríguez-Cabrera; Jorge J López-Moreno; Elena Varea-Jiménez; Roberto Pastor-Barriuso; Marina Pollán; Ana Navas-Acien; Beatriz Pérez-Gómez; Margaret R Karagas
Journal:  Environ Res       Date:  2020-10-16       Impact factor: 6.498

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