Literature DB >> 31758285

Early-Life Arsenic Exposure, Nutritional Status, and Adult Diabetes Risk.

Ana Navas-Acien1, Miranda J Spratlen2, Ahlam Abuawad2, Nancy J LoIacono2, Anne K Bozack2, Mary V Gamble2.   

Abstract

PURPOSE OF REVIEW: In utero influences, including nutrition and environmental chemicals, may induce long-term metabolic changes and increase diabetes risk in adulthood. This review evaluates the experimental and epidemiological evidence on the association of early-life arsenic exposure on diabetes and diabetes-related outcomes, as well as the influence of maternal nutritional status on arsenic-related metabolic effects. RECENT
FINDINGS: Five studies in rodents have evaluated the role of in utero arsenic exposure with diabetes in the offspring. In four of the studies, elevated post-natal fasting glucose was observed when comparing in utero arsenic exposure with no exposure. Rodent offspring exposed to arsenic in utero also showed elevated insulin resistance in the 4 studies evaluating it as well as microRNA changes related to glycemic control in 2 studies. Birth cohorts of arsenic-exposed pregnant mothers in New Hampshire, Mexico, and Taiwan have shown that increased prenatal arsenic exposure is related to altered cord blood gene expression, microRNA, and DNA methylation profiles in diabetes-related pathways. Thus far, no epidemiologic studies have evaluated early-life arsenic exposure with diabetes risk. Supplementation trials have shown B vitamins can reduce blood arsenic levels in highly exposed, undernourished populations. Animal evidence supports that adequate B vitamin status can rescue early-life arsenic-induced diabetes risk, although human data is lacking. Experimental animal studies and human evidence on the association of in utero arsenic exposure with alterations in gene expression pathways related to diabetes in newborns, support the potential role of early-life arsenic exposure in diabetes development, possibly through increased insulin resistance. Given pervasive arsenic exposure and the challenges to eliminate arsenic from the environment, research is needed to evaluate prevention interventions, including the possibility of low-cost, low-risk nutritional interventions that can modify arsenic-related disease risk.

Entities:  

Keywords:  Arsenic; Diabetes; Early-life exposures; Nutrition; One-carbon metabolism

Mesh:

Substances:

Year:  2019        PMID: 31758285      PMCID: PMC7004311          DOI: 10.1007/s11892-019-1272-9

Source DB:  PubMed          Journal:  Curr Diab Rep        ISSN: 1534-4827            Impact factor:   4.810


  79 in total

Review 1.  Animal evidence for the transgenerational development of diabetes mellitus.

Authors:  L Aerts; F A Van Assche
Journal:  Int J Biochem Cell Biol       Date:  2005-08-09       Impact factor: 5.085

Review 2.  Epigenomics, gestational programming and risk of metabolic syndrome.

Authors:  M Desai; J K Jellyman; M G Ross
Journal:  Int J Obes (Lond)       Date:  2015-02-02       Impact factor: 5.095

3.  Trivalent arsenicals are bound to proteins during reductive methylation.

Authors:  Hua Naranmandura; Noriyuki Suzuki; Kazuo T Suzuki
Journal:  Chem Res Toxicol       Date:  2006-08       Impact factor: 3.739

4.  Arsenic, one carbon metabolism and diabetes-related outcomes in the Strong Heart Family Study.

Authors:  Miranda J Spratlen; Maria Grau-Perez; Jason G Umans; Joseph Yracheta; Lyle G Best; Kevin Francesconi; Walter Goessler; Poojitha Balakrishnan; Shelley A Cole; Mary V Gamble; Barbara V Howard; Ana Navas-Acien
Journal:  Environ Int       Date:  2018-10-12       Impact factor: 9.621

5.  Prenatal arsenic exposure and the epigenome: altered microRNAs associated with innate and adaptive immune signaling in newborn cord blood.

Authors:  Julia E Rager; Kathryn A Bailey; Lisa Smeester; Sloane K Miller; Joel S Parker; Jessica E Laine; Zuzana Drobná; Jenna Currier; Christelle Douillet; Andrew F Olshan; Marisela Rubio-Andrade; Miroslav Stýblo; Gonzalo García-Vargas; Rebecca C Fry
Journal:  Environ Mol Mutagen       Date:  2013-12-10       Impact factor: 3.216

6.  Consumption of folate-related nutrients and metabolism of arsenic in Bangladesh.

Authors:  Julia E Heck; Mary V Gamble; Yu Chen; Joseph H Graziano; Vesna Slavkovich; Faruque Parvez; John A Baron; Geoffrey R Howe; Habibul Ahsan
Journal:  Am J Clin Nutr       Date:  2007-05       Impact factor: 7.045

7.  Prenatal arsenic exposure alters gene expression in the adult liver to a proinflammatory state contributing to accelerated atherosclerosis.

Authors:  J Christopher States; Amar V Singh; Thomas B Knudsen; Eric C Rouchka; Ntube O Ngalame; Gavin E Arteel; Yulan Piao; Minoru S H Ko
Journal:  PLoS One       Date:  2012-06-15       Impact factor: 3.240

8.  Arsenic Exposure, Arsenic Metabolism, and Incident Diabetes in the Strong Heart Study.

Authors:  Chin-Chi Kuo; Barbara V Howard; Jason G Umans; Matthew O Gribble; Lyle G Best; Kevin A Francesconi; Walter Goessler; Elisa Lee; Eliseo Guallar; Ana Navas-Acien
Journal:  Diabetes Care       Date:  2015-01-12       Impact factor: 19.112

9.  Effects of Arsenite Exposure during Fetal Development on Energy Metabolism and Susceptibility to Diet-Induced Fatty Liver Disease in Male Mice.

Authors:  Eric J Ditzel; Thu Nguyen; Patricia Parker; Todd D Camenisch
Journal:  Environ Health Perspect       Date:  2015-07-07       Impact factor: 9.031

10.  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

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  7 in total

Review 1.  Cooperation between NRF2-mediated transcription and MDIG-dependent epigenetic modifications in arsenic-induced carcinogenesis and cancer stem cells.

Authors:  Zhuoyue Bi; Qian Zhang; Yao Fu; Akimasa Seno; Priya Wadgaonkar; Yiran Qiu; Bandar Almutairy; Liping Xu; Wenxuan Zhang; Chitra Thakur; Fei Chen
Journal:  Semin Cancer Biol       Date:  2021-04-03       Impact factor: 15.707

Review 2.  Nutrition, one-carbon metabolism and arsenic methylation.

Authors:  Ahlam Abuawad; Anne K Bozack; Roheeni Saxena; Mary V Gamble
Journal:  Toxicology       Date:  2021-04-24       Impact factor: 4.571

3.  Arsenic Exposure and Glucose Metabolism: Experimental Studies Suggest Implications for Type 2 Diabetes.

Authors:  Lindsey Konkel
Journal:  Environ Health Perspect       Date:  2020-09-18       Impact factor: 9.031

4.  Inter- and Transgenerational Effects of Paternal Exposure to Inorganic Arsenic.

Authors:  Yingyun Gong; Yanfeng Xue; Xin Li; Zhao Zhang; Wenjun Zhou; Paola Marcolongo; Angiolo Benedetti; Shengyong Mao; Leng Han; Guolian Ding; Zheng Sun
Journal:  Adv Sci (Weinh)       Date:  2021-02-18       Impact factor: 16.806

5.  Maternal and paternal histories differentially influence risks for diabetes, insulin secretion and insulin resistance in a Chinese population.

Authors:  Xiaomu Kong; Zhaojun Yang; Bo Zhang; Xiaoping Chen; Liping Yu; Haiqing Zhu; Xiaoyan Xing; Wenying Yang
Journal:  J Diabetes Investig       Date:  2020-08-16       Impact factor: 4.232

6.  Arsenic Secondary Methylation Capacity Is Inversely Associated with Arsenic Exposure-Related Muscle Mass Reduction.

Authors:  Md Khalequzzaman Sarker; Selim Reza Tony; Abu Eabrahim Siddique; Md Rezaul Karim; Nazmul Haque; Zohurul Islam; Md Shofikul Islam; Moriom Khatun; Jahidul Islam; Shakhawoat Hossain; Zahangir Alam Saud; Hideki Miyataka; Daigo Sumi; Aaron Barchowsky; Seiichiro Himeno; Khaled Hossain
Journal:  Int J Environ Res Public Health       Date:  2021-09-15       Impact factor: 3.390

7.  Removal of Arsenate From Groundwater by Cathode of Bioelectrochemical System Through Microbial Electrosorption, Reduction, and Sulfuration.

Authors:  Honghong Yuan; Yumeng Huang; Ouyuan Jiang; Yue Huang; Dongsheng Qiu; Williamson Gustave; Xianjin Tang; Zhongjian Li
Journal:  Front Microbiol       Date:  2022-03-11       Impact factor: 5.640

  7 in total

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