Volume 115, Issue 1 pp. 79-87
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Prepregnancy exposure to dietary arsenic and congenital heart defects

Jonathan Suhl

Jonathan Suhl

Department of Epidemiology, College of Public Health, The University of Iowa, Iowa City, Iowa, USA

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Kristin M. Conway

Kristin M. Conway

Department of Epidemiology, College of Public Health, The University of Iowa, Iowa City, Iowa, USA

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Anthony Rhoads

Anthony Rhoads

Department of Epidemiology, College of Public Health, The University of Iowa, Iowa City, Iowa, USA

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Peter H. Langlois

Peter H. Langlois

Department of Epidemiology, Human Genetics, and Environmental Science, University of Texas School of Public Health in Austin, Austin, Texas, USA

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Marcia L. Feldkamp

Marcia L. Feldkamp

Division of Medical Genetics, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, USA

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Adrian M. Michalski

Adrian M. Michalski

New York State Department of Health, Bureau of Environmental and Occupational Epidemiology, Albany, New York, USA

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Jacob Oleson

Jacob Oleson

Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USA

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Alpa Sidhu

Alpa Sidhu

Division of Medical Genetics and Genomics, The Stead Family Department of Pediatrics, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA

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Thomas D. Scholz

Thomas D. Scholz

Division of Pediatric Cardiology, The Stead Family Department of Pediatrics, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA

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Vijaya Kancherla

Vijaya Kancherla

Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, Georgia, USA

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John Obrycki

John Obrycki

Department of Neurology, Boston Children's Hospital, Boston, Massachusetts, USA

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Maitreyi Mazumdar

Maitreyi Mazumdar

Department of Neurology, Boston Children's Hospital, Boston, Massachusetts, USA

Environmental and Occupational Medicine and Epidemiology Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA

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Paul A. Romitti

Corresponding Author

Paul A. Romitti

Department of Epidemiology, College of Public Health, The University of Iowa, Iowa City, Iowa, USA

Correspondence

Paul A. Romitti, Department of Epidemiology, College of Public Health, University of Iowa, 145 N Riverside Dr, S416 CPHB, Iowa City, IA 52242, Tel: 319-335-4912.

Email: [email protected]

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the National Birth Defects Prevention Study

the National Birth Defects Prevention Study

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First published: 07 November 2022

Funding information: Centers for Disease Control and Prevention, Grant/Award Number: PA #96043 PA #02081 FOA #DD09-001 FOA #DD13-003 NOFO #DD18-001; National Birth Defects Prevention Study (NBDPS); the Birth Defects Study To Evaluate Pregnancy exposureS (BD-STEPS); Iowa Center for Birth Defects Research and Prevention, Grant/Award Number: U01DD001035 U01DD001223

Abstract

Introduction

Arsenic crosses the placenta and accumulates in fetal tissues. In the United States, diet is the predominant route of arsenic exposure, but epidemiologic data are sparse regarding this exposure and development of birth defects. Using data from a large case-control study, we explored associations between maternal dietary arsenic exposure and congenital heart defects (CHDs), the most prevalent birth defects.

Methods

We used maternal self-reported dietary assessments and arsenic concentration estimates in food items to estimate average daily exposure to dietary arsenic during the year before pregnancy for mothers of 10,446 unaffected control children and 6,483 case children diagnosed with CHDs. Using tertiles of dietary exposure to total arsenic (all species) and inorganic arsenic, we applied logistic regression analysis to estimate associations for middle and high tertiles, compared with the low tertile.

Results

Positive associations (odds ratio [OR] ≥ 1.2) for total arsenic were observed in both tertiles for perimembranous ventricular septal defect (VSD) and high tertile only for double outlet right ventricle-transposition of the great arteries (DORV-TGA), partial anomalous pulmonary venous return (PAPVR), and tricuspid atresia. Positive associations were also observed in both tertiles (tricuspid atresia) and high tertile only (DORV-TGA, conoventricular VSD, PAPVR, and pulmonary atresia) for inorganic arsenic. Most remaining associations were near or below unity.

Discussion

Exploration of maternal dietary exposure to total and inorganic arsenic and CHDs produced few positive associations but was limited by available food item concentrations. Future research requires expanded collection of dietary data, improved estimates of concentrations, and consideration of nondietary sources of arsenic exposure.

1 INTRODUCTION

Arsenic is a naturally occurring metal, widely distributed throughout the environment in air, water, and food. Exposure to arsenic, particularly inorganic arsenic, is associated with numerous adverse health outcomes (Abdul, Jayasinghe, Chandana, Jayasumana, & De Silva, 2015). Animal models show that arsenic crosses the placenta, accumulating in fetal tissues (Devesa et al., 2006), with birth defects observed in offspring following maternal inorganic arsenic exposure (Abdul et al., 2015). Most epidemiologic studies that examined maternal arsenic exposure and birth defects focused on a single defect/defect group (Brender et al., 2006; Jin et al., 2013, 2016; Mazumdar et al., 2015; Rudnai et al., 2014; Suhl et al., 2018; Wang et al., 2019; White et al., 2019; Zierler, Theodore, Cohen, & Rothman, 1988), or assessed exposure from water (Brender et al., 2006; Marie et al., 2018; Mazumdar et al., 2015; Rudnai et al., 2014; Sanders et al., 2014; Zierler et al., 1988). To our knowledge, only one previous study examined exposure in diet (Suhl et al., 2018).

In the United States, diet is the primary source of arsenic exposure (ATSDR, 2007). The limited information on maternal dietary arsenic exposure and birth defects prompted us to use data from the National Birth Defects Prevention Study (NBDPS) to examine maternal dietary exposure to total (all species) and inorganic arsenic and several noncardiac birth defects (Suhl et al., 2022). We observed positive associations between total arsenic and selected musculoskeletal defects, and inorganic arsenic and selected gastrointestinal, genitourinary, and musculoskeletal defects. Herein, we use NBDPS data to examine maternal dietary exposure to arsenic and congenital heart defects (CHDs), the most prevalent group of major birth defects.

2 METHODS

NBDPS was a multisite, population-based case-control study of major birth defects. The NBDPS protocol, approved by the institutional review board at each site, was published previously (Reefhuis et al., 2015). Briefly, case children diagnosed with one or more eligible defects among pregnancies (live births, stillbirths, and terminations) with estimated dates of delivery during 1997–2011 were identified by birth defect surveillance programs. Clinical geneticists reviewed medical record data abstracted for case children to exclude those with chromosomal or monogenic syndromes. Control children were a random sample of live births without a defect diagnosis delivered in the same time frame and geographic areas as case children.

Clinical geneticists classified case children with a CHD by phenotype level, defect complexity, and extracardiac defects (Botto et al., 2007). Phenotype level ranged from detailed (e.g., tetralogy of Fallot [TOF] with pulmonary atresia) to main (e.g., TOF) to broad (e.g., conotruncal defects). Defect complexity was defined as simple (no other cardiac involvement), association (common, uncomplicated combinations of other heart defects), or complex (those not classified as simple or association). Case children without extracardiac defects were classified as isolated; those with extracardiac defects were classified as multiple.

Mothers of case or control children completed a single telephone interview about medical, environmental, and lifestyle information for the 3 months before conception (B3) through the end of pregnancy. The interview included a 58-item food frequency questionnaire (FFQ), adapted from the Willet FFQ (Willett, Reynolds, Cottrell-Hoehner, Sampson, & Browne, 1987), to collect diet during the year before pregnancy; mothers also reported cereal consumption during B3 through the end of pregnancy.

Mothers of 11,829 control and 32,017 case children participated in NBDPS, including 12,584 with a CHD. To improve homogeneity of our analytic sample, we restricted analyses to mothers of 7,343 case children classified as isolated with a main, simple CHD not classified as “other” or “not otherwise specified.” After excluding mothers who did not complete the FFQ (control = 672, case = 390), reported consumption of <500 or > 5,000 cal/d (control = 271, case = 202), or had missing body mass index (control = 440, case = 268), mothers of 10,446 control children and 6,483 case children were available for analysis.

Our methodology to estimate dietary exposure to total and inorganic arsenic was published previously (Suhl et al., 2022). For an FFQ item, we linked mean total arsenic concentration estimates reported in the U.S. Food and Drug Administration Total Diet Study (TDS; U.S. FDA, 2007, 2017) for corresponding TDS items (55 of 58 FFQ items; Table S1) to estimate an overall mean total arsenic concentration for the FFQ item. Arsenic concentrations below the limit of detection (LOD) were entered as 0 μg/g, consistent with estimated concentrations provided by TDS. For dietary inorganic arsenic concentrations, we applied a similar approach for 24 FFQ items (Table S1) using estimates reported from two communities in Texas (Schoof et al., 1999), except estimates below the LOD were entered as one-half the LOD, consistent with the Texas study.

Total and inorganic arsenic concentration estimates were multiplied by the corresponding grams consumed of each FFQ item/day to determine arsenic consumed/FFQ item/day; summing all consumption estimates produced overall total and inorganic dietary arsenic estimates for each mother (μg/d). Using reported prepregnancy body weight, μg/kg-body weight (bw)/d total and inorganic arsenic estimates were estimated for all analyses. Exposure to arsenic through drinking water was not included in our exposure assessment because of the low proportion (8%) of NBDPS mothers reporting well water use (Suhl et al., 2022).

We evaluated several child and maternal covariates. Child covariates were sex, plurality, and first-degree family history of CHDs. Maternal covariates were age and educational attainment at delivery, race/ethnicity, gravidity, NBDPS site, prepregnancy dietary folate equivalents and tertiles of prepregnancy total energy intake based on distributions among control mothers, along with folic acid supplementation, alcohol consumption, and tobacco smoke exposure during the critical exposure period for heart development (first 3 months of pregnancy), as well as the month before pregnancy to ensure identification of exposures during that month that may have carried over into pregnancy.

Our primary analyses included estimating frequencies and proportions for each covariate and examining categorical tertiles of total and inorganic dietary arsenic exposure (low, medium, and high) based on cutoffs of the distributions among control mothers. Unconditional multivariable logistic regression was applied to estimate odds ratios (ORs) and 95% confidence intervals (CIs), with the low tertile of exposure as the referent category. Multivariable models were constructed by including each covariate individually in a model for each arsenic exposure–CHD pair; covariates that altered the crude estimate for a pair by >10% were included in the final model. Analyses were restricted to CHDs for which there were at least five case mothers included in each tertile of exposure for total or inorganic arsenic. When sparse data prevented model convergence, Firth's logistic regression was used to estimate ORs and 95% profile likelihood CIs (Firth, 1993).

Secondary analyses included restricting to mothers without prepregnancy diabetes and those with singleton pregnancies due to known associations with CHDs, and to mothers with deficient folate intake (no folic acid supplementation and dietary folate <600 μg/d) due to the role of folate in arsenic metabolism (Na et al., 2020). Additional secondary analyses examined additive interaction effects between maternal dietary arsenic (total, inorganic) and tobacco smoke exposure (none, any), which contains high levels of arsenic, during the critical exposure period. Additive interaction was evaluated by examining relative excess risk due to interaction (RERI) and bootstrap 95% CIs for the middle and high tertiles of exposures. Finally, we examined alternate, high-dose thresholds of total and inorganic arsenic exposure (90th percentile among control mothers) and alternate exposure estimates for total arsenic using the maximum concentrations reported in TDS items and including arsenic in breakfast cereal consumption during the 3 months before pregnancy; no inorganic arsenic estimates were available for breakfast cereals. All analyses were conducted using SAS v. 9.4 (SAS Institute Inc., 2013).

3 RESULTS

Frequencies and proportions of child and maternal covariates are presented in Table 1; missing data ranged from 0% to 1.3% for covariates. Tertile cutoffs (μg/kg-bw/d) were 0.07 and 0.22 for total and 0.05 and 0.08 for inorganic arsenic. Compared with the low tertile of total arsenic exposure, positive associations (OR ≥ 1.2) were observed in both middle and high tertiles for perimembranous ventricular septal defect (VSD) and in the high tertile only for double outlet right ventricle-transposition of the great arteries (DORV-TGA), partial anomalous pulmonary venous return (PAPVR), and tricuspid atresia (Table 2). For inorganic arsenic, positive associations were observed in both tertiles for triscuspid atresia and in the high tertile only for DORV-TGA, conoventricular VSD, PAPVR, and pulmonary atresia. Most remaining estimates for total or inorganic arsenic were near or below unity.

TABLE 1. Distributions of child and maternal covariates among control and case groups (NBDPS, 1997–2011)
Control Group Case Group
Covariate N (%) N (%)
Child
Sex
Male 5,314 (50.9) 3,541 (54.7)
Female 5,123 (49.1) 2,936 (45.3)
Missing 9 6
Plurality
1 10,137 (97.0) 6,014 (92.8)
2+ 309 (3.0) 469 (7.2)
Missing 0 0
First-degree family history of congenital heart defect
Yes 126 (1.2) 261 (4.0)
No 10,320 (98.8) 6,222 (96.0)
Missing 0 0
Maternal
Age at delivery (years)
<20 987 (9.4) 495 (7.6)
20–24 2,289 (21.9) 1,444 (22.3)
25–29 2,923 (28.0) 1,802 (27.8)
30–34 2,735 (26.2) 1,708 (26.3)
35–39 1,258 (12.0) 814 (12.6)
≥40 254 (2.4) 220 (3.4)
Missing 0 0
Education at delivery (years)
0–8 326 (3.1) 196 (3.0)
9–11 1,146 (11.0) 677 (10.5)
12 2,441 (23.5) 1,594 (24.7)
13–15 2,887 (27.8) 1,916 (29.7)
≥16 3,576 (34.5) 2,060 (32.0)
Missing 70 40
Race/ethnicity
Non-Hispanic White 6,386 (61.2) 4,139 (63.9)
Non-Hispanic Black 1,150 (11.0) 743 (11.5)
Hispanic 2,225 (21.3) 1,166 (18.0)
Other 681 (6.5) 434 (6.7)
Missing 4 1
Gravidity
0 3,082 (29.5) 1,823 (28.1)
1 2,982 (28.6) 1,840 (28.4)
≥2 4,379 (41.9) 2,816 (43.5)
Missing 3 4
NBDPS site
Arkansas 1,353 (13.0) 1,101 (17.0)
California 1,092 (10.5) 584 (9.0)
Georgia 1,007 (9.6) 654 (10.1)
Iowa 1,203 (11.5) 662 (10.2)
Massachusetts 1,271 (12.2) 834 (12.9)
New Jersey 537 (5.1) 269 (4.1)
New York 918 (8.8) 487 (7.5)
North Carolina 889 (8.5) 432 (6.7)
Texas 1,132 (10.8) 669 (10.3)
Utah 1,044 (10.0) 791 (12.2)
Missing 0 0
Prepregnancy dietary folate equivalents (μg/d)
<600 7,302 (69.9) 4,745 (73.2)
≥600 3,144 (30.1) 1,738 (26.8)
Missing 0 0
Prepregnancy total energy intake (calories/d)
Low 3,482 (33.3) 2,382 (36.7)
Middle 3,482 (33.3) 2,083 (32.1)
High 3,482 (33.3) 2,018 (31.1)
Missing 0 0
Folic acid supplementation
Yes 9,155 (88.7) 5,685 (88.9)
No 1,168 (11.3) 711 (11.1)
Missing 123 87
Alcohol consumption
No drinking 6,399 (62.0) 4,072 (63.6)
Drinking with no binge episodes 2,599 (25.2) 1,496 (23.4)
Drinking and ≥ 1 binge episode 1,330 (12.9) 833 (13.0)
Missing 118 82
Tobacco smoking exposure
No active and passive smoking 7,159 (69.0) 4,244 (66.2)
Active smoking only 811 (7.8) 506 (7.9)
Passive smoking only 1,288 (12.4) 899 (14.0)
Active and passive smoking 1,115 (10.7) 764 (11.9)
Missing 73 70
  • Abbreviation: NBDPS, National Birth Defects Prevention Study.
  • a Due to rounding, proportions may not total to 100.
  • b During the period 1 month before through the third month following conception.
TABLE 2. ORs and 95% CIs for associations between maternal total and inorganic arsenic exposure in diet (μg/kg-bw/d) and isolated, simple congenital heart defects (NBDPS, 1997–2011)
N Arsenic Exposure
Tertile Frequencies Middle vs. Low High vs. Low
Arsenic Type/Study Group Low Middle High OR (95% CI) OR (95% CI)
Total arsenic
Controls 10,446 3,482 3,482 3,482
Conotruncal defects
Common Truncus 79 31 28 20 0.9 (0.5, 1.5) 0.6 (0.4, 1.1)
d-TGA 518 188 170 160 0.9 (0.7, 1.1) 0.9 (0.7, 1.1)
TOF 865 280 305 280 1.1 (0.9, 1.3) 1.0 (0.8, 1.2)
DORV-TGA 43 15 12 16 0.8 (0.4, 1.8), 1.2 (0.6, 2.5),
Conoventricular VSD 48 14 15 19 1.0 (0.5, 2.1), 1.1 (0.6, 2.3),
AVSD
AVSD 157 59 41 57 0.7 (0.5, 1.0) 1.0 (0.7, 1.4)
APVR defects
TAPVR 223 89 63 71 0.7 (0.5, 1.0) 0.8 (0.6, 1.1)
PAPVR 37 12 10 15 0.8 (0.3, 1.9), 1.2 (0.6, 2.7),
LVOTO defects
HLHS 515 178 186 151 1.0 (0.8, 1.3) 0.8 (0.7, 1.1)
COA 497 180 168 149 0.9 (0.7, 1.1) 0.7 (0.6, 0.9)
AS 311 123 96 92 0.9 (0.7, 1.2) 1.0 (0.7, 1.3)
RVOTO defects
PVS 950 344 324 282 0.9 (0.8, 1.1) 0.8 (0.7, 1.0)
Tricuspid Atresia 63 18 18 27 1.0 (0.5, 1.9) 1.5 (0.8, 2.7)
Ebstein anomaly 101 39 38 24 1.0 (0.6, 1.5) 0.6 (0.4, 1.0)
Pulmonary atresia 148 51 46 51 0.9 (0.6, 1.3) 1.0 (0.7, 1.5)
Septal defects
Perimembranous VSD 830 217 270 343 1.2 (1.0, 1.5) 1.6 (1.3, 1.9)
ASD2 1,098 408 346 344 0.9 (0.7, 1.0) 0.9 (0.8, 1.1)
Inorganic arsenic
Controls 10,446 3,482 3,482 3,482
Conotruncal Defects
Common Truncus 79 30 32 17 1.2 (0.7, 1.9) 0.6 (0.3, 1.2)
d-TGA 518 197 151 170 0.8 (0.6, 1.0) 1.0 (0.8, 1.2)
TOF 865 307 275 283 0.9 (0.8, 1.1) 0.9 (0.8, 1.1)
DORV-TGA 43 15 10 18 0.7 (0.3, 1.6), 1.3 (0.7, 2.7),
Conoventricular VSD 48 13 13 22 1.0 (0.5, 2.2) 1.7 (0.9, 3.4)
AVSD
AVSD 157 53 60 44 1.2 (0.8, 1.7) 0.9 (0.6, 1.4)
APVR defects
TAPVR 223 68 71 84 1.0 (0.7, 1.4) 1.1 (0.8, 1.5)
PAPVR 37 12 7 18 0.7 (0.3, 1.7) 2.0 (0.9, 4.3)
LVOTO defects
HLHS 515 176 175 164 1.0 (0.8, 1.2) 0.9 (0.7, 1.2)
COA 497 171 179 147 1.1 (0.9, 1.3) 1.0 (0.8, 1.2)
AS 311 121 103 87 0.9 (0.7, 1.1) 0.9 (0.6, 1.2)
RVOTO Defects
PVS 950 358 317 275 0.9 (0.8, 1.0) 0.8 (0.7, 0.9)
Tricuspid atresia 63 17 24 22 1.4 (0.8, 2.6) 1.3 (0.7, 2.4)
Ebstein anomaly 101 34 39 28 1.1 (0.7, 1.8) 0.8 (0.5, 1.4)
Pulmonary atresia 148 49 43 56 0.9 (0.6, 1.4) 1.2 (0.8, 1.9)
Septal defects
Perimembranous VSD 830 280 279 271 1.0 (0.8, 1.2) 1.0 (0.8, 1.2)
ASD2 1,098 430 351 317 0.9 (0.8, 1.0) 0.9 (0.7, 1.0)
  • Abbreviations: APVR, anomalous pulmonary venous return; AS, aortic stenosis; ASD2, secundum atrial septal defect; AVSD, atrioventricular septal defect; CI, confidence interval; COA, coarctation of the aorta; DORV, double outlet right ventricle; d-TGA, dextro-transposition of the great arteries; HLHS, hypoplastic left heart syndrome; LVOTO, left ventricular outflow tract obstruction; NBDPS, National Birth Defects Prevention Study; OR, odds ratio; PAPVR, partial anomalous pulmonary venous return; PVS, pulmonary valve stenosis; RVOTO, right ventricular outflow tract obstruction; TAPVR, total anomalous pulmonary venous return; TOF, tetralogy of Fallot; VSD, ventricular septal defect.; μg/kg-bw/d, micrograms/kg-bodyweight/day.
  • a Crude estimate.
  • b Firths logistic regression used.
  • c Adjusted for NBDPS site.
  • d Adjusted for maternal age at delivery and NBDPS site.
  • e Adjusted for maternal education at delivery, race/ethnicity, and prepregnancy dietary folate equivalents and total energy intake.
  • f Adjusted for maternal age at delivery.
  • g Adjusted for maternal race/ethnicity and NBDPS site.
  • h Adjusted for maternal prepregnancy total energy intake.
  • i Adjusted for maternal race/ethnicity.
  • j Adjusted for maternal prepregnancy dietary folate equivalents.
  • k Adjusted for maternal race/ethnicity and prepregnancy total energy intake.
  • l Adjusted for NBDPS site and maternal prepregnancy total energy intake.

Most associations between total or inorganic arsenic exposure and CHDs identified in our primary analyses persisted in secondary analyses (Tables S2–S7). Additional positive associations were observed among mothers with deficient folate intake for dextro-TGA (d-TGA), TOF, and secundum atrial septal defect (ASD2; Table S4). Restricting the sample to non-diabetic mothers (Table S2) or those with singleton pregnancies (Table S3) did not produce additional positive associations, nor did alternate exposure thresholds (Table S5; total = 0.51 μg/kg-bw/d; inorganic = 0.16 μg/kg-bw/d) and estimations using maximum concentrations reported in TDS items and including arsenic in breakfast cereal consumption (Tables S6 and S7). No statistically significant RERIs were observed for high tertiles of arsenic exposure in secondary analyses examining additive interaction effects with tobacco smoke exposure (data not shown). In both primary and secondary analyses, many estimates were imprecise.

4 DISCUSSION

CHDs are among the most common birth defects in the United States (Mai et al., 2019) and suspected to have a multifactorial etiology. To elucidate potential risk factors for these defects, we explored associations between maternal dietary exposure to total and inorganic arsenic and isolated, simple CHDs using data from a large, population-based case-control study. Positive associations were observed in the middle and high tertiles of dietary exposure to total arsenic and perimembranous VSD, and middle and high tertiles of exposure to inorganic arsenic and tricuspid atresia; positive associations were also observed in the high tertile of total or inorganic arsenic exposure and several additional CHDs.

Our findings add to a currently limited literature on maternal arsenic exposure and CHDs in children, including the lack of previous studies of maternal dietary arsenic exposure. Three studies examined maternal drinking water exposure to arsenic and CHDs, with reports of positive associations with VSD and coarctation of the aorta (Zierler et al., 1988), as well as with ASD or any CHD (Marie et al., 2018; Rudnai et al., 2014). Another study reported associations between elevated arsenic in maternal hair samples and simple CHDs, and groups of septal, conotruncal, and left and right ventricular outflow tract defects (Jin et al., 2016). We observed increased, positive associations for total arsenic and d-TGA, TOF, perimembranous VSD, and ASD2 among mothers with deficient folate intake. A recent recovery animal study of CHDs in offspring exposed to arsenic during periconception showed a decrease in occurrence of CHDs following administration of folic acid (Na et al., 2020). The findings support epigenetic changes caused by arsenic toxicity in cardiac tissue.

Primary limitations of our study include examination of dietary arsenic exposure only, which may have underestimated total maternal arsenic exposure; reliance on retrospective self-reports of diet during the year before pregnancy, which may have led to recall bias and missed changes in dietary habits during early pregnancy; and limited availability of inorganic arsenic concentrations in food items, which were derived from foods collected in two communities in Texas and corresponded to only 24 NBDPS FFQ items. Primary strengths of our study include analysis of a large, population-based and racial/ethnically diverse study sample of live births, stillbirths, and elective terminations with CHDs; systematic phenotype classification of case children by clinical geneticists; examination of dietary sources of total and inorganic arsenic, which has not been previously examined for CHDs, and detailed data on folic acid intake, which allowed for exploration of the potential role of folic acid in the relation between dietary arsenic and CHDs.

5 CONCLUSION

We explored associations between maternal prepregnancy dietary exposure to arsenic and isolated, simple CHDs in offspring. Although we observed positive associations for dietary exposure to total or inorganic arsenic and a small number of CHDs, these could be spurious findings and need to be interpreted with caution. Also, our exposure analysis for inorganic arsenic was limited by available food arsenic concentrations. Future studies examining maternal dietary arsenic exposure and CHDs require improved dietary assessment extending into early pregnancy, improved estimates of inorganic arsenic concentrations in foods, and controlling for nondietary sources of arsenic exposure.

ACKNOWLEDGMENTS

The authors thank the study participants and study staff who contributed to the NBDPS. The findings and conclusions in this manuscript are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

    FUNDING INFORMATION

    This work was funded by the Centers for Disease Control and Prevention cooperative agreements under PA #96043 PA #02081 FOA #DD09-001 FOA #DD13-003 NOFO #DD18-001 to the Centers for Birth Defects Research and Prevention participating in the National Birth Defects Prevention Study (NBDPS) and/or the Birth Defects Study To Evaluate Pregnancy exposureS (BD-STEPS), and grants (U01DD001035 U01DD001223) awarded to the Iowa Center for Birth Defects Research and Prevention.

    CONFLICT OF INTEREST

    The authors declare no potential conflict of interest.

    DATA AVAILABILITY STATEMENT

    The study questionnaires and process for accessing the data used in this study are described at https://www.cdc.gov/ncbddd/birthdefects/nbdps-public-access-procedures.html. The code book and analytic code may be made available upon request.

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