Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2018 Jan 30.
Published in final edited form as: Birth Defects Res. 2017 Jan 30;109(2):92–98. doi: 10.1002/bdra.23577

Does arsenic increase the risk of neural tube defects among a highly exposed population? A new case-control study in Bangladesh

Maitreyi Mazumdar 1,2,3
PMCID: PMC5388562  NIHMSID: NIHMS817630  PMID: 27801974

Abstract

Background

Neural tube defects are debilitating birth defects that occur when the developing neural plate fails to close in early gestation. Arsenic induces neural tube defects in animal models, but whether environmental arsenic exposure increases risk of neural tube defects in humans is unknown.

Methods

We describe a new case-control study in Bangladesh, a country currently experiencing an epidemic of arsenic poisoning through contaminated drinking water. We plan to understand how arsenic influences risk of neural tube defects in humans through mechanisms that include disruption of maternal glucose and folate metabolism, as well as epigenetic effects. We will also test whether sweat chloride concentration, a potential new biomarker for arsenic toxicity, can be used to identify women at higher risk for having a child affected by neural tube defect. We are collecting dural tissue from cases, obtained at the time of surgical closure of the defect, and believe interrogation of these samples will provide insight into the epigenetic mechanisms by which prenatal arsenic exposure affects the developing nervous system.

Conclusions

These studies explore mechanisms by which arsenic may increase risk of neural tube defects in humans, and use a unique population with high arsenic exposure in order to test hypotheses. If successful, these studies may assist countries with high arsenic exposure such as Bangladesh to identify populations at high risk of neural tube defects, as well as direct development of novel screening strategies for maternal risk.

Keywords: myelomeningocele, neural tube defect, arsenic, environmental health, folatee

BACKGROUND

Neural tube defects are debilitating birth defects characterized by high rates of mortality and lifelong disabilities in surviving children. Neural tube defects occur when the neural plate fails to fold in the first 3 to 4 weeks of gestation, causing death to the fetus or permanent damage to the spinal cord. Despite the success of folic acid-based preventive strategies, neural tube defects remain among the most common birth defects worldwide, and their prevalence varies from 5.3 per 10,000 live births in the United States (Williams and others, 2015) to more than 10 per 1,000 pregnancies in certain areas of China (Li and others, 2006). This variance likely reflects differing contributions from risk factors such as nutritional status, usage of folic acid supplementation and/or folic acid fortification of the food supply, genetic susceptibility, prevalence of obesity and diabetes, and the presence of chemicals in the environment.

Of particular concern is environmental exposure to arsenic, which has become a ubiquitous environmental pollutant over the past several decades and is ranked the number one toxic substance on the U.S. Agency for Toxic Substances and Disease Registry (ATDSR) Priority List of Hazardous Substances (Denny and others, 2013). Individual exposures to arsenic come from various sources including food, water, medicines, and occupational settings. The main source of broader arsenic exposures to human populations is contaminated groundwater, and affected countries include Bangladesh, India, China, Taiwan, Chile, and the United States, among others.

Animal studies have consistently shown arsenic to be a potent teratogen, inducing neural tube defects in several animal models, including mouse (Hill and others, 2008; Hood and Bishop, 1972; Wlodarczyk and others, 1996), rat (Beaudoin, 1974), hamster (Carpenter, 1987), and chick (Peterkova and Puzanova, 1976). Arsenic crosses the placenta and preferentially accumulates in the neuroepithelium of developing hamster, mouse, and monkey embryos (Hanlon and Ferm, 1977). The potential mechanisms of arsenic-induced toxicity in animal models include direct toxicity from reactive oxygen species to the developing neural plate (Han and others, 2011), as well as disruption of glucose metabolism, which subsequently leads to activation of pathways that cause programmed cell death and failure of neural tube closure (Hill and others, 2009; Yang and others, 2013). In mice embryos, arsenic affected the expression of genes association with formation of neural tube defects (Robinson and others, 2011; Wlodarczyk and others, 2006). In addition, animal studies suggest that folate deficiency may exacerbate arsenic toxicity. Mice with specific defects in folate transport had higher rates of neural tube defects after in utero arsenic exposure than wild-type mice similarly exposed (Wlodarczyk and others, 2014). Similarly, mice nullizygous for genes encoding proteins involved in cellular uptake of folate were more susceptible to arsenic-induced neural tube defects (Spiegelstein and others, 2005). However, neither folic acid nor folinic acid supplementation prevented arsenic-induced neural tube defects in Splotch embryos (Gefrides and others, 2002).

Though animal studies generally provide strong support for arsenic's teratogenicity, no study in humans has definitively demonstrated a direct association between arsenic exposure and neural tube defects. In fact, between 1996 and 2001, systematic reviews of the epidemiological literature concluded that arsenic was unlikely to pose a risk to pregnant women or their offspring at levels environmentally relevant to most settings (DeSesso, 2001; DeSesso and others, 1998; Shalat and others, 1996).

Nevertheless, in more recent years an increasing number of reports have suggested that prenatal and early childhood exposures to arsenic may have neurodevelopmental effects on young children (Calderon and others, 2001; Hamadani and others, 2010; Hamadani and others, 2011; Parvez and others, 2011; Rodrigues and others, 2016; von Ehrenstein and others, 2007; Wasserman and others, 2007; Wasserman and others, 2004). This accumulating evidence of arsenic's neurodevelopmental toxicity underlies our interest in understanding whether arsenic contributes specifically to neural tube defect risk, particularly in areas of the world experiencing extremely high levels of arsenic exposure, and leads us to question the mechanisms that might explain these toxic effects.

Here we investigate the hypothesis that arsenic contributes to neural tube defect risk by reviewing two possible pathways that may link arsenic and neural tube defects (Figure 1): 1) arsenic's interaction with folate including folate-mediated epigenetic effects, and 2) arsenic's associations with diabetes, including arsenic's degradation of the cystic fibrosis transmembrane regulator (CFTR), a chloride channel that may provide a mechanism for arsenic-related diabetes. We also describe a new study that will investigate epidemic arsenic exposure and neural tube defect risk in Bangladesh, a country with extremely high levels of arsenic exposure through contaminated drinking water.

Figure 1.

Figure 1

Conceptual model representing possible mechanisms linking arsenic and neural tube defects. Arrowed lines indicate that data are available from human studies.

Arsenic may affect neural tube defect risk through interactions with folate

Folate status and arsenic metabolism

Epidemiological studies provide evidence that folate status may influence arsenic metabolism. The strongest evidence supporting the role of folate in arsenic comes from a double-blind, placebo-controlled, folic acid supplementation trial conducted in 200 adults in rural Bangladesh. All participants, known to have low plasma folate concentrations at the beginning of the study, were randomly assigned to receive either folic acid supplementation or a placebo. At the end of the trial, the folic acid-supplemented group excreted significantly more urinary arsenic. In addition, blood levels of both total arsenic and the more toxic (and less methylated) species were significantly lower in the folic acid-supplemented group than in the control group (Gamble and others, 2006).

Given the historical links between folic acid and neural tube defects, folate pathway genes have been intensively studied. Positive associations have been reported between specific folate-related gene variants and neural tube defects in several case-control studies (Boyles and others, 2005; Etheredge and others, 2012). A recent search by our group in genome-wide association studies or candidate gene studies identified 14 single nucleotide polymorphisms (SNPs) that were associated with both neural tube defects and arsenic toxicity (Mazumdar and others, 2015d), and this list included genes involved in folate metabolism (MTHRF, MTHFD1, MTR, MTRR), folate transport (SLC19A1), DNA repair (XPD/ERCC2), DNA methylation (DNMT1, DNMT3A, DNMT3B) and arsenic metabolism (AS3MT) (Mazumdar and others, 2015d).

In addition to their similar roles in one-methyl metabolism, arsenic and folate have been shown to interact at the cell membrane through ATP-driven efflux pump families including the multidrug resistance protein (MRP). These protein channels play a role in controlling cellular folate levels. Arsenic induces these channels, causing folate efflux out of the cell, reducing the amount of available folate (Hooijberg and others, 2003). The mechanism is not yet tested in animals or humans, but if arsenic-induced folate efflux were to occur in the developing nervous system, it is biologically plausible that neural tube defects would be more likely to ensue.

Arsenic, folate and DNA methylation

Accumulating evidence from animal studies suggests that DNA methylation, currently the best-understood epigenetic process, plays an important role in the etiology of neural tube defects. For example, mutations in genes that affect DNA methylation result in neural tube defects in mice (Copp and Greene, 2010; Greene and others, 2011; Harris and Juriloff, 2010). Additionally, inactivation of the DNA methyltransferase DNMT3B in mice disrupts DNA methylation and causes multiple birth defects, including neural tube defects (Dunlevy and others, 2006).

An epigenetic model of neural tube defects is further supported by the success of folic acid supplementation programs in the prevention of many cases. Folate is a crucial cofactor in one-carbon metabolism and has an important role in DNA synthesis and replication. In this paradigm, the beneficial effects of folate in neural tube defect prevention might also come from its role as an epigenetic modifier: folate is an essential methyl donor to DNA. Studies in animal models support this paradigm. In a mouse model of neural tube defects, maternal intake of folate prior to conception reverses the proliferation potential of embryonic neural crest stem cells via decreased expression (and increased methylation markers) in promoters of genes involved in neural development (Ichi and others, 2010).

Further, evidence from animal studies has shown that DNA methylation plays an important role in the etiology of neural tube defects directly. For example, mutations in genes that affect DNA methylation result in neural tube defects in mice (Copp and Greene, 2010; Greene and others, 2011; Harris and Juriloff, 2010). Additionally, inactivation of the DNA methyltransferase DNMT3B in mice disrupts DNA methylation and causes multiple birth defects, including neural tube defects (Dunlevy and others, 2006). Aberrant DNA methylation has been linked to neural tube defects in humans as well: among 48 stillborn neural tube defect case subjects in northern China and 49 control subjects who were aborted for nonmedical reasons, DNA methylation analysis from brain tissue showed significantly decreased methylation of genomic DNA and LINE-1 elements among cases compared to controls (Wang and others, 2010). Together these data suggest that our limited access to genomic DNA methylation patterns is a fundamental gap in our knowledge of this developmental disorder and may further reveal how folic acid supplementation leads to its prevention.

It is increasingly recognized that arsenic exposure causes changes in epigenetic gene regulation. The epigenetic effects of arsenic have been an area of intense research since reports in 1997 demonstrated that arsenic causes hypermethylation of the p53 gene (Mass and Wang, 1997). Several mechanisms are proposed to explain how arsenic leads to changes in DNA methylation. Central to these theories is the observation that arsenic inhibits the activity of DNA methyltransferase (DNMT) enzymes. Inhibition of DNMT activity by arsenic appears to cause whole-genome and gene-specific demethylation (Reichard and Puga, 2010) in humans, similar to what is seen in animal models. As discussed earlier, arsenic administration induces neural tube defects in several animal models, and recent studies in chick embryos suggest that arsenic's teratogenic effects involve genomic hypomethylation (Han and others, 2011).

Arsenic may increase neural tube defect risk through dysregulation of maternal glucose metabolism

Two well-established risk factors for neural tube defects are maternal gestational diabetes and prepregnancy obesity (Hendricks and others, 2001; Shaw and others, 2000; Shaw and others, 1996; Soler and others, 1976; Waller and others, 1994; Waller and others, 2007; Watkins and others, 2003; Watkins and others, 1996; Werler and others, 1996). Although mechanisms underlying these risks in humans remain unclear, there is evidence from experimental models that the alteration of glucose homeostasis and hyperglycemia cause excess generation of reactive oxygen species due to mitochondrial dysfunction (Zangen and others, 2002) and activation of programmed cell death, or apoptotic, signaling cascades (Yang and others, 2013).

Accumulating evidence has shown an increase risk of type 2 diabetes in general populations exposed to arsenic (Kuo and others, 2013; Maull and others, 2012; Pan and others, 2013). Insulin insufficiency and impairment in pancreatic islet β-cells is found combined with insulin resistance in T2DM, the most prevalent from of diabetes (Marchetti and others, 2012). In mouse models, low-level chronic exposure to arsenic produces damage to pancreatic β-cells, decreased insulin section and altered glucose homeostasis (Davila-Esqueda and others, 2011). Higher arsenic concentrations caused irreversible damage to β-cells (Liu and others, 2014), reducing the ability to produce insulin. There is evidence that pregnant women also experience increase risk of dysregulated glucose homeostasis with arsenic exposure. For example, maternal arsenic exposure as measured in hair and blood samples was associated with increased risk of impaired glucose tolerance during the second trimester in a cohort exposed to arsenic in Tar Creek, a hazardous waste site in Oklahoma (Ettinger and others, 2009).

Arsenic degradation of CFTR may provide a mechanistic link between arsenic and diabetes

The genetic disease, cystic fibrosis, may provide a model to understand the mechanisms underlying arsenic-related diabetes, and by extension, arsenic's effects on neural tube defect risk. Cystic fibrosis is an autosomal recessive disease most common in people of northern European ancestry and is caused by mutations in the gene that encodes the cystic fibrosis transmembrane conductance regulator (CFTR), a chloride channel that regulates transmembrane fluid transport in the pancreas, lung, and other organs. The exact cause of diabetes in cystic fibrosis remains elusive, although the destruction of the insulin-secreting pancreatic islets secondary to the obstruction of the pancreatic duct due to defective CFTR has long been considered the underlying cause (Blackman and others, 2009; Lohr and others, 1989). A recent study in cell culture reveals a role of CFTR in glucose-induced electrical activities and insulin secretion in β-cells (Guo and others, 2014), suggesting that CFTR dysfunction is directly involved in the pathogenesis of idiopathic (and not only cystic-fibrosis related) diabetes.

Recent studies in experimental models and in humans demonstrate that arsenic causes destruction or dysfunction of CFTR, suggesting there is a shared mechanism between arsenic toxicity and cystic fibrosis. Studies in killfish (Stanton and others, 2006) and in cell culture (Bomberger and others, 2012) show a dose-dependent decrease in CFTR concentrations after administration of. arsenic. Our recent study in adults (Mazumdar and others, 2015a) was the first in humans to demonstrate CFTR dysfunction, as measured by increased sweat chloride concentration, in the setting of high arsenic exposure. In this study, 100 participants were drawn from a case-control study of arsenic-related skin lesions that took place between 2001 and 2009 in an area of Bangladesh with high levels of arsenic-contaminated groundwater (Breton and others, 2006; Seow and others, 2012). Sweat conductivity was measured for all participants and sweat chloride concentrations were confirmed for participants whose sweat conductivity was elevated. Water and nail arsenic concentrations were higher for participants with abnormal sweat conductivity than for participants with normal/intermediate sweat conductivity, and none of the 11 participants with sweat chloride concentrations in the diagnostic range for cystic fibrosis had a genetic diagnosis of that disease (Mazumdar and others, 2015a). This study demonstrates that CFTR dysfunction is present in individuals exposed to arsenic and provides motivation for exploring whether CFTR degradation is a mechanism for arsenic-related diabetes. If this hypothesis is true, then mothers with glucose dysregulation due to arsenic exposure maybe at higher risk of having pregnancies affected by neural tube defect. In addition, sweat conductivity, an inexpensive and point-of-care biomarker obtained through a noninvasive procedure, may be an effective screening test for arsenic toxicity and possibly also neural tube defect risk.

Taken together, the literature suggests a role for arsenic in neural tube defects, even though no epidemiological study has yet demonstrated a main effect of arsenic. It is likely that further understanding will require consideration of contributing factors, such as folate deficiency, genetic susceptibility and concurrent risk factors for diabetes in order to understand arsenic's role in neural tube defects.

METHODS

A new case-control study in Bangladesh

Study aims, design and recruitment

We will take advantage of a natural, albeit tragic, occurrence in Bangladesh to study whether arsenic is associated with increased risk of neural tube defects. According to survey data from 2000 to 2010, an estimated 35 to 77 million people in Bangladesh have been exposed to arsenic in their drinking water in what has been described as the largest mass poisoning in history (Smith and others, 2000). The most recent survey of wells (2010) reported that 42% of the water samples tested had inorganic arsenic levels exceeding the World Health Organization (WHO) drinking water guideline of 10 μg/L, and 27% had levels that exceeded the Bangladesh guideline of 50 μg/L. In many areas, the arsenic concentrations in drinking water exceeded 1000 μg/L (Chakraborti and others, 2010).

In light of the gaps in our understanding described above, we initiated a large epidemiologic study in 2016 to address the role of environmental arsenic exposure in Bangladesh in neural tube defect risk. This study appears to be the first large-scale epidemiologic study focusing primarily on arsenic exposure and neural tube defect risk, as well as on arsenic's possible effects through maternal folate and glucose metabolism. It uses the case-control design, which provides the most efficient sampling for studies of conditions that are rare or of multifactorial etiology (Hertz-Picciotto and others, 2006).

The study population is sampled from children with myelomeningocele who present to medical facilities in Bangladesh for surgical closure of the defect. All participating children will meet the following criteria: a) below 12 months of age, b) physician-confirmed diagnosis of myelomeningocele, c) mother is available for interviews and d) primary drinking water source of the mother during early pregnancy is known. No further exclusions are made based on genetics, geography, or family history.

Myelomeningocele was the neural tube defect identified most often and most reliably in our pilot studies (Mazumdar and others, 2015b; Mazumdar and others, 2015c) and therefore is the focus of this current study. There is currently no surveillance system in Bangladesh to identify all pregnancies affected by neural tube defect; a surveillance system following all pregnancies might be able to identify a more severe phenotype, such as those who die during gestation or are otherwise undiscovered. We focus on myelomeningocele also because it is increasingly recognized that neural tube defects are not one disorder, but instead a wide array of morphologically distinct malformations (Wallingford and others, 2013). We focus on this one subtype of neural tube defect with the recognition that different contributions of various risk factors may be important among subtypes of neural tube defects.

Control selection

As case ascertainment will be primarily hospital based, potential controls will be drawn from the referring hospital's census records, and matched to cases according to age. Controls will be those with diagnoses believed to be independent of arsenic exposure yet also presented to a neurosurgeon (e.g. trauma, craniosynostosis). To further prevent overmatching on exposure, controls will not necessarily be chosen from the same geographic area as the case.

Data collection protocols

Participation involves assessments of medical co-morbidities and associated anomalies, family histories, a medical examination, biologic specimen collection from child and parents, and environmental specimen collection, specifically drinking water from the well used by the mother in very early pregnancy. Other components include maternal and child medical records review and abstractions.

Community partnerships

A community advisory council will be formed early in the development of this project to maximize participation by parents, clinicians, advocacy organizations and research staff. Feedback from community members has already included plans for campaigns to raise awareness of the benefits of folic acid supplementation and folic acid fortification of foods, suggestions regarding the collection of specimens and information from siblings, and the formation of multidisciplinary spina bifida clinical services in participating hospitals. A scientific advisory board has also been assembled to guide study implementation and interpretation of results.

DISCUSSION

Conclusion

This research project builds on strong preliminary data that suggest arsenic exposure is an important risk factor for neural tube defects. This project will utilize a case-control study design to enroll infants with myelomeningocele to investigate how exposure may contribute to increased risk. Specifically, this study will investigate arsenic's known effects on maternal folate and glucose metabolism. The results of this study may help Bangladesh, a country experiencing an unprecedented epidemic of arsenic poisoning through contaminated drinking water, set policies for neural tube defect surveillance and folic acid supplementation and fortification in high arsenic areas.

Acknowledgments

Grant information and grant numbers: Funding for this study was provided by the National Institutes of Environmental Health Sciences (NIEHS), National Institutes of Health (R01 ES016317). Additional support was provided by the Harvard T.H. Chan School of Public Health NIEHS Center (P30 ES000002) and the Boston Children's Hospital Intellectual and Developmental Disabilities Research Center (P30 HD18655).

Footnotes

Competing Financial Interests Declaration: The author reports that she has no actual and/or potential competing financial interests.

LITERATURE CITED

  1. Beaudoin AR. Teratogenicity of sodium arsenate in rats. Teratology. 1974;10(2):153–157. doi: 10.1002/tera.1420100211. [DOI] [PubMed] [Google Scholar]
  2. Blackman SM, Hsu S, Vanscoy LL, Collaco JM, Ritter SE, Naughton K, Cutting GR. Genetic modifiers play a substantial role in diabetes complicating cystic fibrosis. The Journal of clinical endocrinology and metabolism. 2009;94(4):1302–1309. doi: 10.1210/jc.2008-2186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Bomberger JM, Coutermarsh BA, Barnaby RL, Stanton BA. Arsenic promotes ubiquitinylation and lysosomal degradation of cystic fibrosis transmembrane conductance regulator (CFTR) chloride channels in human airway epithelial cells. J Biol Chem. 2012;287(21):17130–17139. doi: 10.1074/jbc.M111.338855. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Boyles AL, Hammock P, Speer MC. Candidate gene analysis in human neural tube defects. American journal of medical genetics Part C, Seminars in medical genetics. 2005;135C(1):9–23. doi: 10.1002/ajmg.c.30048. [DOI] [PubMed] [Google Scholar]
  5. Breton CV, Houseman EA, Kile ML, Quamruzzaman Q, Rahman M, Mahiuddin G, Christiani DC. Gender-specific protective effect of hemoglobin on arsenic-induced skin lesions. Cancer Epidemiol Biomarkers Prev. 2006;15(5):902–907. doi: 10.1158/1055-9965.EPI-05-0859. [DOI] [PubMed] [Google Scholar]
  6. Calderon J, Navarro ME, Jimenez-Capdeville ME, Santos-Diaz MA, Golden A, Rodriguez-Leyva I, Borja-Aburto V, Diaz-Barriga F. Exposure to arsenic and lead and neuropsychological development in Mexican children. Environmental research. 2001;85(2):69–76. doi: 10.1006/enrs.2000.4106. [DOI] [PubMed] [Google Scholar]
  7. Carpenter SJ. Developmental analysis of cephalic axial dysraphic disorders in arsenic-treated hamster embryos. Anatomy and embryology. 1987;176(3):345–365. doi: 10.1007/BF00310189. [DOI] [PubMed] [Google Scholar]
  8. Chakraborti D, Rahman MM, Das B, Murrill M, Dey S, Chandra Mukherjee S, Dhar RK, Biswas BK, Chowdhury UK, Roy S, Sorif S, Selim M, Rahman M, Quamruzzaman Q. Status of groundwater arsenic contamination in Bangladesh: a 14-year study report. Water Res. 2010;44(19):5789–5802. doi: 10.1016/j.watres.2010.06.051. [DOI] [PubMed] [Google Scholar]
  9. Copp AJ, Greene ND. Genetics and development of neural tube defects. The Journal of pathology. 2010;220(2):217–230. doi: 10.1002/path.2643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Davila-Esqueda ME, Morales JM, Jimenez-Capdeville ME, De la Cruz E, Falcon-Escobedo R, Chi-Ahumada E, Martin-Perez S. Low-level subchronic arsenic exposure from prenatal developmental stages to adult life results in an impaired glucose homeostasis. Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association. 2011;119(10):613–617. doi: 10.1055/s-0031-1287782. [DOI] [PubMed] [Google Scholar]
  11. Denny KJ, Jeanes A, Fathe K, Finnell RH, Taylor SM, Woodruff TM. Neural tube defects, folate, and immune modulation. Birth defects research Part A, Clinical and molecular teratology. 2013;97(9):602–609. doi: 10.1002/bdra.23177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. DeSesso JM. Teratogen update: inorganic arsenic. Teratology. 2001;64(3):170–173. doi: 10.1002/tera.1060. [DOI] [PubMed] [Google Scholar]
  13. DeSesso JM, Jacobson CF, Scialli AR, Farr CH, Holson JF. An assessment of the developmental toxicity of inorganic arsenic. Reproductive toxicology (Elmsford, NY) 1998;12(4):385–433. doi: 10.1016/s0890-6238(98)00021-5. [DOI] [PubMed] [Google Scholar]
  14. Dunlevy LP, Burren KA, Mills K, Chitty LS, Copp AJ, Greene ND. Integrity of the methylation cycle is essential for mammalian neural tube closure. Birth defects research Part A, Clinical and molecular teratology. 2006;76(7):544–552. doi: 10.1002/bdra.20286. [DOI] [PubMed] [Google Scholar]
  15. Etheredge AJ, Finnell RH, Carmichael SL, Lammer EJ, Zhu H, Mitchell LE, Shaw GM. Maternal and infant gene-folate interactions and the risk of neural tube defects. Am J Med Genet A. 2012;158a(10):2439–2446. doi: 10.1002/ajmg.a.35552. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Ettinger AS, Zota AR, Amarasiriwardena CJ, Hopkins MR, Schwartz J, Hu H, Wright RO. Maternal arsenic exposure and impaired glucose tolerance during pregnancy. Environmental health perspectives. 2009;117(7):1059–1064. doi: 10.1289/ehp0800533. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Gamble MV, Liu X, Ahsan H, Pilsner JR, Ilievski V, Slavkovich V, Parvez F, Chen Y, Levy D, Factor-Litvak P, Graziano JH. Folate and arsenic metabolism: a double-blind, placebo-controlled folic acid-supplementation trial in Bangladesh. The American journal of clinical nutrition. 2006;84(5):1093–1101. doi: 10.1093/ajcn/84.5.1093. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Gefrides LA, Bennett GD, Finnell RH. Effects of folate supplementation on the risk of spontaneous and induced neural tube defects in Splotch mice. Teratology. 2002;65(2):63–69. doi: 10.1002/tera.10019. [DOI] [PubMed] [Google Scholar]
  19. Greene ND, Stanier P, Moore GE. The emerging role of epigenetic mechanisms in the etiology of neural tube defects. Epigenetics. 2011;6(7):875–883. doi: 10.4161/epi.6.7.16400. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Guo JH, Chen H, Ruan YC, Zhang XL, Zhang XH, Fok KL, Tsang LL, Yu MK, Huang WQ, Sun X, Chung YW, Jiang X, Sohma Y, Chan HC. Glucose-induced electrical activities and insulin secretion in pancreatic islet beta-cells are modulated by CFTR. Nature communications. 2014;5:4420. doi: 10.1038/ncomms5420. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Hamadani JD, Grantham-McGregor SM, Tofail F, Nermell B, Fangstrom B, Huda SN, Yesmin S, Rahman M, Vera-Hernandez M, Arifeen SE, Vahter M. Pre- and postnatal arsenic exposure and child development at 18 months of age: a cohort study in rural Bangladesh. International journal of epidemiology. 2010;39(5):1206–1216. doi: 10.1093/ije/dyp369. [DOI] [PubMed] [Google Scholar]
  22. Hamadani JD, Tofail F, Nermell B, Gardner R, Shiraji S, Bottai M, Arifeen SE, Huda SN, Vahter M. Critical windows of exposure for arsenic-associated impairment of cognitive function in pre-school girls and boys: a population-based cohort study. International journal of epidemiology. 2011;40(6):1593–1604. doi: 10.1093/ije/dyr176. [DOI] [PubMed] [Google Scholar]
  23. Han ZJ, Song G, Cui Y, Xia HF, Ma X. Oxidative stress is implicated in arsenic-induced neural tube defects in chick embryos. International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience. 2011;29(7):673–680. doi: 10.1016/j.ijdevneu.2011.06.006. [DOI] [PubMed] [Google Scholar]
  24. Hanlon DP, Ferm VH. Placental permeability of arsenate ion during early embryogenesis in the hamster. Experientia. 1977;33(9):1221–1222. doi: 10.1007/BF01922340. [DOI] [PubMed] [Google Scholar]
  25. Harris MJ, Juriloff DM. An update to the list of mouse mutants with neural tube closure defects and advances toward a complete genetic perspective of neural tube closure. Birth defects research Part A, Clinical and molecular teratology. 2010;88(8):653–669. doi: 10.1002/bdra.20676. [DOI] [PubMed] [Google Scholar]
  26. Hendricks KA, Nuno OM, Suarez L, Larsen R. Effects of hyperinsulinemia and obesity on risk of neural tube defects among Mexican Americans. Epidemiology. 2001;12(6):630–635. doi: 10.1097/00001648-200111000-00009. [DOI] [PubMed] [Google Scholar]
  27. Hertz-Picciotto I, Croen LA, Hansen R, Jones CR, van de Water J, Pessah IN. The CHARGE study: an epidemiologic investigation of genetic and environmental factors contributing to autism. Environmental health perspectives. 2006;114(7):1119–1125. doi: 10.1289/ehp.8483. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Hill DS, Wlodarczyk BJ, Finnell RH. Reproductive consequences of oral arsenate exposure during pregnancy in a mouse model. Birth defects research Part B, Developmental and reproductive toxicology. 2008;83(1):40–47. doi: 10.1002/bdrb.20142. [DOI] [PubMed] [Google Scholar]
  29. Hill DS, Wlodarczyk BJ, Mitchell LE, Finnell RH. Arsenate-induced maternal glucose intolerance and neural tube defects in a mouse model. Toxicology and applied pharmacology. 2009;239(1):29–36. doi: 10.1016/j.taap.2009.05.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Hood RD, Bishop SL. Teratogenic effects of sodium arsenate in mice. Archives of environmental health. 1972;24(1):62–65. doi: 10.1080/00039896.1972.10666051. [DOI] [PubMed] [Google Scholar]
  31. Hooijberg JH, Peters GJ, Assaraf YG, Kathmann I, Priest DG, Bunni MA, Veerman AJ, Scheffer GL, Kaspers GJ, Jansen G. The role of multidrug resistance proteins MRP1, MRP2 and MRP3 in cellular folate homeostasis. Biochemical pharmacology. 2003;65(5):765–771. doi: 10.1016/s0006-2952(02)01615-5. [DOI] [PubMed] [Google Scholar]
  32. Ichi S, Costa FF, Bischof JM, Nakazaki H, Shen YW, Boshnjaku V, Sharma S, Mania-Farnell B, McLone DG, Tomita T, Soares MB, Mayanil CS. Folic acid remodels chromatin on Hes1 and Neurog2 promoters during caudal neural tube development. The Journal of biological chemistry. 2010;285(47):36922–36932. doi: 10.1074/jbc.M110.126714. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Kuo CC, Moon K, Thayer KA, Navas-Acien A. Environmental chemicals and type 2 diabetes: an updated systematic review of the epidemiologic evidence. Current diabetes reports. 2013;13(6):831–849. doi: 10.1007/s11892-013-0432-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Li Z, Ren A, Zhang L, Ye R, Li S, Zheng J, Hong S, Wang T, Li Z. Extremely high prevalence of neural tube defects in a 4-county area in Shanxi Province, China. Birth defects research Part A, Clinical and molecular teratology. 2006;76(4):237–240. doi: 10.1002/bdra.20248. [DOI] [PubMed] [Google Scholar]
  35. Liu S, Guo X, Wu B, Yu H, Zhang X, Li M. Arsenic induces diabetic effects through beta-cell dysfunction and increased gluconeogenesis in mice. Scientific reports. 2014;4:6894. doi: 10.1038/srep06894. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Lohr M, Goertchen P, Nizze H, Gould NS, Gould VE, Oberholzer M, Heitz PU, Kloppel G. Cystic fibrosis associated islet changes may provide a basis for diabetes. An immunocytochemical and morphometrical study. Virchows Archiv A, Pathological anatomy and histopathology. 1989;414(2):179–185. doi: 10.1007/BF00718598. [DOI] [PubMed] [Google Scholar]
  37. Marchetti P, Bugliani M, Boggi U, Masini M, Marselli L. The pancreatic beta cells in human type 2 diabetes. Advances in experimental medicine and biology. 2012;771:288–309. doi: 10.1007/978-1-4614-5441-0_22. [DOI] [PubMed] [Google Scholar]
  38. Mass MJ, Wang L. Arsenic alters cytosine methylation patterns of the promoter of the tumor suppressor gene p53 in human lung cells: a model for a mechanism of carcinogenesis. Mutation research. 1997;386(3):263–277. doi: 10.1016/s1383-5742(97)00008-2. [DOI] [PubMed] [Google Scholar]
  39. Maull EA, Ahsan H, Edwards J, Longnecker MP, Navas-Acien A, Pi J, Silbergeld EK, Styblo M, Tseng CH, Thayer KA, Loomis D. Evaluation of the association between arsenic and diabetes: a National Toxicology Program workshop review. Environmental health perspectives. 2012;120(12):1658–1670. doi: 10.1289/ehp.1104579. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Mazumdar M, Christiani DC, Biswas SK, Ibne-Hasan OS, Kapur K, Hug C. Elevated sweat chloride levels due to arsenic toxicity. N Engl J Med. 2015a;372(6):582–584. doi: 10.1056/NEJMc1413312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Mazumdar M, Ibne Hasan MO, Hamid R, Valeri L, Paul L, Selhub J, Rodrigues EG, Silva F, Mia S, Mostofa MG, Quamruzzaman Q, Rahman M, Christiani DC. Arsenic is associated with reduced effect of folic acid in myelomeningocele prevention: a case control study in Bangladesh. Environ Health. 2015b;14:34. doi: 10.1186/s12940-015-0020-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Mazumdar M, Valeri L,GRE, Ibne Hasan OS, Hamid R, Paul L, Selhub J, Silva F, Mostofa MG, Quamruzzaman Q, Rahman M, Christiani DC. Polymorphisms in maternal folate pathway genes interact with arsenic in driking water to influence risk of myelomeningocele. Birth Defects Res A Clin Mol Teratol. 2015c doi: 10.1002/bdra.23399. (In press, Accepted June 1, 2015) [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Mazumdar M, Valeri L, Rodrigues EG, Ibne Hasan MO, Hamid R, Paul L, Selhub J, Silva F, Mostofa MG, Quamruzzaman Q, Rahman M, Christiani DC. Polymorphisms in maternal folate pathway genes interact with arsenic in drinking water to influence risk of myelomeningocele. Birth defects research Part A, Clinical and molecular teratology. 2015d;103(9):754–762. doi: 10.1002/bdra.23399. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Pan WC, Seow WJ, Kile ML, Hoffman EB, Quamruzzaman Q, Rahman M, Mahiuddin G, Mostofa G, Lu Q, Christiani DC. Association of low to moderate levels of arsenic exposure with risk of type 2 diabetes in Bangladesh. Am J Epidemiol. 2013;178(10):1563–1570. doi: 10.1093/aje/kwt195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Parvez F, Wasserman GA, Factor-Litvak P, Liu X, Slavkovich V, Siddique AB, Sultana R, Sultana R, Islam T, Levy D, Mey JL, van Geen A, Khan K, Kline J, Ahsan H, Graziano JH. Arsenic exposure and motor function among children in Bangladesh. Environmental health perspectives. 2011;119(11):1665–1670. doi: 10.1289/ehp.1103548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Peterkova R, Puzanova L. Effect of trivalent and pentavalent arsenic on early developmental stages of the chick embryo. Folia morphologica. 1976;24(1):5–13. [PubMed] [Google Scholar]
  47. Reichard JF, Puga A. Effects of arsenic exposure on DNA methylation and epigenetic gene regulation. Epigenomics. 2010;2(1):87–104. doi: 10.2217/epi.09.45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Robinson JF, Yu X, Moreira EG, Hong S, Faustman EM. Arsenic- and cadmium-induced toxicogenomic response in mouse embryos undergoing neurulation. Toxicology and applied pharmacology. 2011;250(2):117–129. doi: 10.1016/j.taap.2010.09.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Rodrigues EG, Bellinger DC, Valeri L, Hasan MO, Quamruzzaman Q, Golam M, Kile ML, Christiani DC, Wright RO, Mazumdar M. Neurodevelopmental outcomes among 2- to 3-year-old children in Bangladesh with elevated blood lead and exposure to arsenic and manganese in drinking water. Environmental health : a global access science source. 2016;15(1):44. doi: 10.1186/s12940-016-0127-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Seow WJ, Pan WC, Kile ML, Baccarelli AA, Quamruzzaman Q, Rahman M, Mahiuddin G, Mostofa G, Lin X, Christiani DC. Arsenic reduction in drinking water and improvement in skin lesions: a follow-up study in Bangladesh. Environ Health Perspect. 2012;120(12):1733–1738. doi: 10.1289/ehp.1205381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Shalat SL, Walker DB, Finnell RH. Role of arsenic as a reproductive toxin with particular attention to neural tube defects. Journal of toxicology and environmental health. 1996;48(3):253–272. doi: 10.1080/009841096161320. [DOI] [PubMed] [Google Scholar]
  52. Shaw GM, Todoroff K, Finnell RH, Lammer EJ. Spina bifida phenotypes in infants or fetuses of obese mothers. Teratology. 2000;61(5):376–381. doi: 10.1002/(SICI)1096-9926(200005)61:5<376::AID-TERA9>3.0.CO;2-J. [DOI] [PubMed] [Google Scholar]
  53. Shaw GM, Velie EM, Schaffer D. Risk of neural tube defect-affected pregnancies among obese women. JAMA : the journal of the American Medical Association. 1996;275(14):1093–1096. doi: 10.1001/jama.1996.03530380035028. [DOI] [PubMed] [Google Scholar]
  54. Smith AH, Lingas EO, Rahman M. Contamination of drinking-water by arsenic in Bangladesh: a public health emergency. Bull World Health Organ. 2000;78(9):1093–1103. [PMC free article] [PubMed] [Google Scholar]
  55. Soler NG, Walsh CH, Malins JM. Congenital malformations in infants of diabetic mothers. The Quarterly journal of medicine. 1976;45(178):303–313. [PubMed] [Google Scholar]
  56. Spiegelstein O, Gould A, Wlodarczyk B, Tsie M, Lu X, Le C, Troen A, Selhub J, Piedrahita JA, Salbaum JM, Kappen C, Melnyk S, James J, Finnell RH. Developmental consequences of in utero sodium arsenate exposure in mice with folate transport deficiencies. Toxicology and applied pharmacology. 2005;203(1):18–26. doi: 10.1016/j.taap.2004.07.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Stanton CR, Thibodeau R, Lankowski A, Shaw JR, Hamilton JW, Stanton BA. Arsenic inhibits CFTR-mediated chloride secretion by killifish (Fundulus heteroclitus) opercular membrane. Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology. 2006;17(5-6):269–278. doi: 10.1159/000094139. [DOI] [PubMed] [Google Scholar]
  58. von Ehrenstein OS, Poddar S, Yuan Y, Mazumder DG, Eskenazi B, Basu A, Hira-Smith M, Ghosh N, Lahiri S, Haque R, Ghosh A, Kalman D, Das S, Smith AH. Children's intellectual function in relation to arsenic exposure. Epidemiology. 2007;18(1):44–51. doi: 10.1097/01.ede.0000248900.65613.a9. [DOI] [PubMed] [Google Scholar]
  59. Waller DK, Mills JL, Simpson JL, Cunningham GC, Conley MR, Lassman MR, Rhoads GG. Are obese women at higher risk for producing malformed offspring? American journal of obstetrics and gynecology. 1994;170(2):541–548. doi: 10.1016/s0002-9378(94)70224-1. [DOI] [PubMed] [Google Scholar]
  60. Waller DK, Shaw GM, Rasmussen SA, Hobbs CA, Canfield MA, Siega-Riz AM, Gallaway MS, Correa A, National Birth Defects Prevention S Prepregnancy obesity as a risk factor for structural birth defects. Archives of pediatrics & adolescent medicine. 2007;161(8):745–750. doi: 10.1001/archpedi.161.8.745. [DOI] [PubMed] [Google Scholar]
  61. Wallingford JB, Niswander LA, Shaw GM, Finnell RH. The continuing challenge of understanding, preventing, and treating neural tube defects. Science. 2013;339(6123):1222002. doi: 10.1126/science.1222002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Wang L, Wang F, Guan J, Le J, Wu L, Zou J, Zhao H, Pei L, Zheng X, Zhang T. Relation between hypomethylation of long interspersed nucleotide elements and risk of neural tube defects. The American journal of clinical nutrition. 2010;91(5):1359–1367. doi: 10.3945/ajcn.2009.28858. [DOI] [PubMed] [Google Scholar]
  63. Wasserman GA, Liu X, Parvez F, Ahsan H, Factor-Litvak P, Kline J, van Geen A, Slavkovich V, Loiacono NJ, Levy D, Cheng Z, Graziano JH. Water arsenic exposure and intellectual function in 6-year-old children in Araihazar, Bangladesh. Environ Health Perspect. 2007;115(2):285–289. doi: 10.1289/ehp.9501. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Wasserman GA, Liu X, Parvez F, Ahsan H, Factor-Litvak P, van Geen A, Slavkovich V, LoIacono NJ, Cheng Z, Hussain I, Momotaj H, Graziano JH. Water arsenic exposure and children's intellectual function in Araihazar, Bangladesh. Environmental health perspectives. 2004;112(13):1329–1333. doi: 10.1289/ehp.6964. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Watkins ML, Rasmussen SA, Honein MA, Botto LD, Moore CA. Maternal obesity and risk for birth defects. Pediatrics. 2003;111(5 Pt 2):1152–1158. [PubMed] [Google Scholar]
  66. Watkins ML, Scanlon KS, Mulinare J, Khoury MJ. Is maternal obesity a risk factor for anencephaly and spina bifida? Epidemiology. 1996;7(5):507–512. [PubMed] [Google Scholar]
  67. Werler MM, Louik C, Shapiro S, Mitchell AA. Prepregnant weight in relation to risk of neural tube defects. JAMA : the journal of the American Medical Association. 1996;275(14):1089–1092. doi: 10.1001/jama.1996.03530380031027. [DOI] [PubMed] [Google Scholar]
  68. Williams J, Mai CT, Mulinare J, Isenburg J, Flood TJ, Ethen M, Frohnert B, Kirby RS. Updated estimates of neural tube defects prevented by mandatory folic Acid fortification - United States, 1995-2011. MMWR Morb Mortal Wkly Rep. 2015;64(1):1–5. [PMC free article] [PubMed] [Google Scholar]
  69. Wlodarczyk BJ, Bennett GD, Calvin JA, Finnell RH. Arsenic-induced neural tube defects in mice: alterations in cell cycle gene expression. Reproductive toxicology (Elmsford, NY) 1996;10(6):447–454. doi: 10.1016/s0890-6238(96)00131-1. [DOI] [PubMed] [Google Scholar]
  70. Wlodarczyk BJ, Cabrera RM, Hill DS, Bozinov D, Zhu H, Finnell RH. Arsenic-induced gene expression changes in the neural tube of folate transport defective mouse embryos. Neurotoxicology. 2006;27(4):547–557. doi: 10.1016/j.neuro.2006.02.005. [DOI] [PubMed] [Google Scholar]
  71. Wlodarczyk BJ, Zhu H, Finnell RH. Mthfr gene ablation enhances susceptibility to arsenic prenatal toxicity. Toxicology and applied pharmacology. 2014;275(1):22–27. doi: 10.1016/j.taap.2013.12.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Yang P, Li X, Xu C, Eckert RL, Reece EA, Zielke HR, Wang F. Maternal hyperglycemia activates an ASK1-FoxO3a-caspase 8 pathway that leads to embryonic neural tube defects. Science signaling. 2013;6(290):ra74. doi: 10.1126/scisignal.2004020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Zangen SW, Yaffe P, Shechtman S, Zangen DH, Ornoy A. The role of reactive oxygen species in diabetes-induced anomalies in embryos of Cohen diabetic rats. International journal of experimental diabetes research. 2002;3(4):247–255. doi: 10.1080/15604280214933. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES