In-utero co-exposure to toxic metals and micronutrients on childhood risk of overweight or obesity: new insight on micronutrients counteracting toxic metals

Wanyu Huang, Tak Igusa, Guoying Wang, Jessie P Buckley, Xiumei Hong, Eric Bind, Andrew Steffens, Jhindan Mukherjee, Douglas Haltmeier, Yuelong Ji, Richard Xu, Wenpin Hou, Zhihua Tina Fan, Xiaobin Wang, Wanyu Huang, Tak Igusa, Guoying Wang, Jessie P Buckley, Xiumei Hong, Eric Bind, Andrew Steffens, Jhindan Mukherjee, Douglas Haltmeier, Yuelong Ji, Richard Xu, Wenpin Hou, Zhihua Tina Fan, Xiaobin Wang

Abstract

Background/objectives: Low-level, in-utero exposure to toxic metals such as lead (Pb) and mercury (Hg) is widespread in the US and worldwide; and, individually, was found to be obesogenic in children. To address the literature gaps on the health effects of co-exposure to low-level toxic metals and the lack of intervention strategy, we aimed to investigate the association between in-utero co-exposure to Hg, Pb, cadmium (Cd) and childhood overweight or obesity (OWO) and whether adequate maternal micronutrients (selenium (Se) and folate) can be protective.

Subjects/methods: This study included 1442 mother-child pairs from the Boston Birth Cohort, a predominantly urban, low-income, Black, and Hispanic population, who were enrolled at birth and followed prospectively up to age 15 years. Bayesian kernel machine regression (BKMR) was applied to estimate individual and joint effects of exposures to metals and micronutrients on childhood OWO while adjusting for pertinent covariables. Stratified analyses by maternal OWO and micronutrient status were performed to identify sensitive subgroups.

Results: In this sample of understudied US children, low-level in-utero co-exposure to Hg, Pb, and Cd was widespread. Besides individual positive associations of maternal Hg and Pb exposure with offspring OWO, BKMR clearly indicated a positive dose-response association between in-utero co-exposure to the three toxic metals and childhood OWO. Notably, the metal mixture-OWO association was more pronounced in children born to mothers with OWO; and in such a setting, the association was greatly attenuated if mothers had higher Se and folate levels.

Conclusions: In this prospective cohort of US children at high-risk of toxic metal exposure and OWO, we demonstrated that among children born to mothers with OWO, low-level in-utero co-exposure to Hg, Pb, and Cd increased the risk of childhood OWO; and that adequate maternal Se and folate levels mitigated the risk of childhood OWO.

Clinical trial registry number and website where it was obtained: NCT03228875.

Conflict of interest statement

Competing Financial Interests

The authors declare they have no actual or potential competing financial interests.

© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

Figures

Fig. 1.. Associations of toxic metal and…
Fig. 1.. Associations of toxic metal and micronutrient exposures with child OWO, stratified or combined by maternal pre-pregnancy OWO (N = 1442), using conventional regression analysis.
Adjusted for maternal age, BMI, race/ethnicity, marital status, education level, parity, breastfeeding type, smoking status, fish intake, child’s sex, low birthweight, and preterm status. (A) Children born to mothers without OWO (N=687). Children born to mothers with T1 biomarker were the reference groups. (B) Children born to mothers with OWO (N=755). Children born to mothers with T1 biomarker were the reference groups. (C) Children born to mothers without OWO with T1 biomarker were the reference groups. Refer to Table S4 and S5 for p-values.
Fig. 2.. Univariate dose-response function (95% Credible…
Fig. 2.. Univariate dose-response function (95% Credible Intervals, CrIs) of toxic metal (Hg, Pb, Cd) and micronutrient (Se, folate) exposures with child overweight or obesity (OWO).
(A) Children born to mothers with OWO (N=755). (B) Children born to mothers without OWO (N=687). The univariate dose-response functions were assessed by fixing the remaining exposures at their median values and including maternal age, BMI, race/ethnicity, marital status, education level, parity, breastfeeding type, smoking status, fish intake, child’s sex, low birthweight, and preterm status as the covariates. The x-axis was limited to a range from −2 to 2, which reflects the z-score. Refer to the Supplement for the full range plot (Fig. S10). 95% CrIs are indicated by the shaded areas.
Fig. 3.. Bivariate dose-response function of toxic…
Fig. 3.. Bivariate dose-response function of toxic metal (Hg, Pb, Cd) and micronutrient (Se, folate) exposures on child overweight or obesity (OWO) among children born to mothers with OWO.
The bivariate dose-response function was obtained by plotting the dose-response function of a single predictor (exposure 1) when the second predictor (exposure 2) was fixed at various quantiles as labeled, while the remaining predictors were fixed to their median values. Maternal age, BMI, race/ethnicity, marital status, education level, parity, breastfeeding type, smoking status, fish intake, child’s sex, low birthweight, and preterm status were included as the covariates. The x-axis was limited to a range from −2 to 2, which reflects the z-score. Refer to the Supplement for the full range plot (Fig. S11).
Fig. 4.. Overall effect (95% Credible Intervals,…
Fig. 4.. Overall effect (95% Credible Intervals, CrIs) of toxic metals (Hg, Pb, Cd) on child overweight or obesity (OWO) among children born to mothers with OWO, stratified by maternal Se (Panel A) and folate levels (Panel B).
The overall effect (95% CrIs) of toxic metals (Hg, Pb, Cd) on child OWO is defined as the difference in the response when all the exposures are fixed at a specific quantile (ranging from 0.10 to 0.90), as compared to when all the exposures are fixed at their median value. Maternal age, BMI, race/ethnicity, marital status, education level, parity, breastfeeding type, smoking status, fish intake, child’s sex, low birthweight, and preterm status were included as the covariates. (A) Red group shows the overall effect on OWO risk among children whose mothers have OWO and have Se levels in T1, while the blue group shows the overall effect among children of mothers with OWO and with Se levels in T2–T3. (B) Red group shows the overall effect on OWO risk among children whose mothers have OWO and have folate levels in T1, while the blue group shows the overall effect among children of mothers with OWO and with folate levels in T2–T3. Note: Although the blue and red groups in (A) and (B) have the same quantiles (from 0.10 to 0.90), the blue group was slightly right-shifted to make the two sets of CrIs more clearly visible.

References

    1. WHO (World Health Organization). Preventing disease through healthy environment: Action is needed on chemicals of major public health concern 2010. [Available from: .
    1. ATSDR (Agency for Toxic Substances and Disease Registry). Substance Priority List 2020. [Available from: .
    1. Chen Z, Myers R, Wei T, Bind E, Kassim P, Wang G, et al. Placental transfer and concentrations of cadmium, mercury, lead, and selenium in mothers, newborns, and young children. J Expo Sci Environ Epidemiol. 2014;24(5):537–44. 10.1038/jes.2014.26.
    1. Shim YK, Lewin MD, Ruiz P, Eichner JE, Mumtaz MM. Prevalence and associated demographic characteristics of exposure to multiple metals and their species in human populations: The United States NHANES, 2007–2012. J Toxicol Environ Health A. 2017;80(9):502–12. 10.1080/15287394.2017.1330581.
    1. Bulka CM, Persky VW, Daviglus ML, Durazo-Arvizu RA, Argos M. Multiple metal exposures and metabolic syndrome: A cross-sectional analysis of the National Health and Nutrition Examination Survey 2011–2014. Environ Res. 2019;168:397–405. 10.1016/j.envres.2018.10.022.
    1. Lanphear BP, Rauch S, Auinger P, Allen RW, Hornung RW. Low-level lead exposure and mortality in US adults: a population-based cohort study. Lancet Public Health. 2018;3(4):e177–e84. 10.1016/s2468-2667(18)30025-2.
    1. Mahaffey KR, Clickner RP, Bodurow CC. Blood organic mercury and dietary mercury intake: National Health and Nutrition Examination Survey, 1999 and 2000. Environ Health Perspect. 2004;112(5):562–70. 10.1289/ehp.6587.
    1. Oulhote Y, Mergler D, Bouchard MF. Sex- and age-differences in blood manganese levels in the U.S. general population: national health and nutrition examination survey 2011–2012. Environ Health. 2014;13:87. 10.1186/1476-069x-13-87.
    1. Breton CV, Farzan SF. Invited Perspective: Metal Mixtures and Child Health: The Complex Interplay of Essential and Toxic Elements. Environmental Health Perspectives. 2021;129(6):061301. 10.1289/EHP9629.
    1. Zhang M, Liu T, Wang G, Buckley JP, Guallar E, Hong X, et al. In Utero Exposure to Heavy Metals and Trace Elements and Childhood Blood Pressure in a U.S. Urban, Low-Income, Minority Birth Cohort. Environmental Health Perspectives. 2021;129(6):067005. 10.1289/EHP8325.
    1. Sanders T, Liu Y, Buchner V, Tchounwou PB. Neurotoxic effects and biomarkers of lead exposure: a review. Rev Environ Health. 2009;24(1):15–45. 10.1515/reveh.2009.24.1.15.
    1. Chang LW. Neurotoxic effects of mercury-a review. Environmental research. 1977;14(3):329–73. 10.1016/0013-9351(77)90044-5.
    1. Wang G, DiBari J, Bind E, Steffens AM, Mukherjee J, Azuine RE, et al. Association Between Maternal Exposure to Lead, Maternal Folate Status, and Intergenerational Risk of Childhood Overweight and Obesity. JAMA Netw Open. 2019;2(10):e1912343. 10.1001/jamanetworkopen.2019.12343.
    1. Wang G, DiBari J, Bind E, Steffens AM, Mukherjee J, Bartell TR, et al. In utero exposure to mercury and childhood overweight or obesity: counteracting effect of maternal folate status. BMC Med. 2019;17(1):216. 10.1186/s12916-019-1442-2.
    1. Lee S, Yoon JH, Won JU, Lee W, Lee JH, Seok H, et al. The Association Between Blood Mercury Levels and Risk for Overweight in a General Adult Population: Results from the Korean National Health and Nutrition Examination Survey. Biol Trace Elem Res. 2016;171(2):251–61. 10.1007/s12011-015-0530-1.
    1. NIH (National Institutes of Health). Strategic Plan 2018–2023: Advancing Environmental Health Sciences Improving Health 2018. [Available from: .
    1. Furst A. Can nutrition affect chemical toxicity? Int J Toxicol. 2002;21(5):419–24. 10.1080/10915810290096649.
    1. Hennig B, Ettinger AS, Jandacek RJ, Koo S, McClain C, Seifried H, et al. Using nutrition for intervention and prevention against environmental chemical toxicity and associated diseases. Environ Health Perspect. 2007;115(4):493–5. 10.1289/ehp.9549.
    1. Aguirre JD, Culotta VC. Battles with iron: manganese in oxidative stress protection. J Biol Chem. 2012;287(17):13541–8. 10.1074/jbc.R111.312181.
    1. Clark LC, Combs GF Jr., Turnbull BW, Slate EH, Chalker DK, Chow J, et al. Effects of selenium supplementation for cancer prevention in patients with carcinoma of the skin. A randomized controlled trial. Nutritional Prevention of Cancer Study Group. Jama. 1996;276(24):1957–63. 10.1001/jama.1996.03540240035027.
    1. Rayman MP. The importance of selenium to human health. Lancet. 2000;356(9225):233–41. 10.1016/s0140-6736(00)02490-9.
    1. Blazewicz A, Klatka M, Astel A, Korona-Glowniak I, Dolliver W, Szwerc W, et al. Serum and urinary selenium levels in obese children: a cross-sectional study. J Trace Elem Med Biol. 2015;29:116–22. 10.1016/j.jtemb.2014.07.016.
    1. Ortega RM, Rodriguez-Rodriguez E, Aparicio A, Jimenez-Ortega AI, Palmeros C, Perea JM, et al. Young children with excess of weight show an impaired selenium status. Int J Vitam Nutr Res. 2012;82(2):121–9. 10.1024/0300-9831/a000101.
    1. Azab SF, Saleh SH, Elsaeed WF, Elshafie MA, Sherief LM, Esh AM. Serum trace elements in obese Egyptian children: a case-control study. Ital J Pediatr. 2014;40:20. 10.1186/1824-7288-40-20.
    1. Ouyang F, Longnecker MP, Venners SA, Johnson S, Korrick S, Zhang J, et al. Preconception serum 1,1,1-trichloro-2,2,bis(p-chlorophenyl)ethane and B-vitamin status: independent and joint effects on women’s reproductive outcomes. Am J Clin Nutr. 2014;100(6):1470–8. 10.3945/ajcn.114.088377.
    1. Bobb JF, Valeri L, Claus Henn B, Christiani DC, Wright RO, Mazumdar M, et al. Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures. Biostatistics. 2015;16(3):493–508. 10.1093/biostatistics/kxu058.
    1. Bobb JF, Claus Henn B, Valeri L, Coull BA. Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression. Environ Health. 2018;17(1):67. 10.1186/s12940-018-0413-y.
    1. Wang G, Divall S, Radovick S, Paige D, Ning Y, Chen Z, et al. Preterm birth and random plasma insulin levels at birth and in early childhood. JAMA. 2014;311(6):587–96. 10.1001/jama.2014.1.
    1. Shemin D, Rittenberg D. The life span of the human red blood cell. J Biol Chem. 1946;166(2):627–36.
    1. Huo Y, Li J, Qin X, Huang Y, Wang X, Gottesman RF, et al. Efficacy of folic acid therapy in primary prevention of stroke among adults with hypertension in China: the CSPPT randomized clinical trial. Jama. 2015;313(13):1325–35. 10.1001/jama.2015.2274.
    1. CDC (Centers for Disease Control and Prevention). CDC growth chart 2000 [updated November 26, 2013. 2000:[Available from: .
    1. CDC. Overweight & obesity: defining childhood obesity. Centers for Disease Control and Prevention; 2018. [Available from: .
    1. Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159(7):702–6. 10.1093/aje/kwh090.
    1. Kupsco A, Kioumourtzoglou M-A, Just AC, Amarasiriwardena C, Estrada-Gutierrez G, Cantoral A, et al. Prenatal Metal Concentrations and Childhood Cardiometabolic Risk Using Bayesian Kernel Machine Regression to Assess Mixture and Interaction Effects. Epidemiology. 2019;30(2). 10.1097/EDE.0000000000000962.
    1. Yu Z, Han S, Zhu J, Sun X, Ji C, Guo X. Pre-Pregnancy Body Mass Index in Relation to Infant Birth Weight and Offspring Overweight/Obesity: A Systematic Review and Meta-Analysis. PLOS ONE. 2013;8(4):e61627. 10.1371/journal.pone.0061627.
    1. Scott JG, Berger JO. Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem. The Annals of Statistics. 2010;38(5):2587–619, 33. 10.1214/10-AOS792.
    1. Martinez-Esquivel A, Trujillo-Silva DJ, Cilia-Lopez VG. Impact of environmental pollution on the obesogenic environment. Nutr Rev. 2022. 10.1093/nutrit/nuac003.
    1. Bjermo H, Sand S, Nalsen C, Lundh T, Enghardt Barbieri H, Pearson M, et al. Lead, mercury, and cadmium in blood and their relation to diet among Swedish adults. Food Chem Toxicol. 2013;57:161–9. 10.1016/j.fct.2013.03.024.
    1. Rhee DK, Ji Y, Hong X, Pearson C, Wang X, Caulfield LE. Mediterranean-Style Diet and Birth Outcomes in an Urban, Multiethnic, and Low-Income US Population. Nutrients. 2021;13(4). 10.3390/nu13041188.
    1. Carrico C, Gennings C, Wheeler DC, Factor-Litvak P. Characterization of Weighted Quantile Sum Regression for Highly Correlated Data in a Risk Analysis Setting. J Agric Biol Environ Stat. 2015;20(1):100–20. 10.1007/s13253-014-0180-3.
    1. CDC. Pregnancy Complications 2020. [updated August 13, 2020. Available from: .
    1. Cheng TL, Mistry KB, Wang G, Zuckerman B, Wang X. Folate Nutrition Status in Mothers of the Boston Birth Cohort, Sample of a US Urban Low-Income Population. Am J Public Health. 2018;108(6):799–807. 10.2105/AJPH.2018.304355.
    1. Shirai S, Suzuki Y, Yoshinaga J, Mizumoto Y. Maternal exposure to low-level heavy metals during pregnancy and birth size. J Environ Sci Health A Tox Hazard Subst Environ Eng. 2010;45(11):1468–74. 10.1080/10934529.2010.500942.
    1. Hu X, Zheng T, Cheng Y, Holford T, Lin S, Leaderer B, et al. Distributions of heavy metals in maternal and cord blood and the association with infant birth weight in China. J Reprod Med. 2015;60(1–2):21–9. .
    1. Luo Y, McCullough LE, Tzeng JY, Darrah T, Vengosh A, Maguire RL, et al. Maternal blood cadmium, lead and arsenic levels, nutrient combinations, and offspring birthweight. BMC Public Health. 2017;17(1):354. 10.1186/s12889-017-4225-8.
    1. Freire C, Amaya E, Gil F, Murcia M, S LL, Casas M, et al. Placental metal concentrations and birth outcomes: The Environment and Childhood (INMA) project. Int J Hyg Environ Health. 2019;222(3):468–78. 10.1016/j.ijheh.2018.12.014.
    1. Freire C, Amaya E, Gil F, Fernandez MF, Murcia M, Llop S, et al. Prenatal co-exposure to neurotoxic metals and neurodevelopment in preschool children: The Environment and Childhood (INMA) Project. Sci Total Environ. 2018;621:340–51. 10.1016/j.scitotenv.2017.11.273.
    1. Valeri L, Mazumdar MM, Bobb JF, Claus Henn B, Rodrigues E, Sharif OIA, et al. The Joint Effect of Prenatal Exposure to Metal Mixtures on Neurodevelopmental Outcomes at 20–40 Months of Age: Evidence from Rural Bangladesh. Environ Health Perspect. 2017;125(6):067015. 10.1289/EHP614.
    1. Vecchi Brumatti L, Rosolen V, Mariuz M, Piscianz E, Valencic E, Bin M, et al. Impact of Methylmercury and Other Heavy Metals Exposure on Neurocognitive Function in Children Aged 7 Years: Study Protocol of the Follow-up. J Epidemiol. 2021;31(2):157–63. 10.2188/jea.JE20190284.
    1. Cho S, Jacobs DR Jr., Park K. Population correlates of circulating mercury levels in Korean adults: the Korea National Health and Nutrition Examination Survey IV. BMC Public Health. 2014;14:527. 10.1186/1471-2458-14-527.
    1. Kim R, Hu H, Rotnitzky A, Bellinger D, Needleman H. A longitudinal study of chronic lead exposure and physical growth in Boston children. Environ Health Perspect. 1995;103(10):952–7. 10.1289/ehp.95103952.
    1. Wang N, Chen C, Nie X, Han B, Li Q, Chen Y, et al. Blood lead level and its association with body mass index and obesity in China - Results from SPECT-China study. Sci Rep. 2015;5:18299. 10.1038/srep18299.
    1. Faulk C, Barks A, Sanchez BN, Zhang Z, Anderson OS, Peterson KE, et al. Perinatal lead (Pb) exposure results in sex-specific effects on food intake, fat, weight, and insulin response across the murine life-course. PLoS One. 2014;9(8):e104273. 10.1371/journal.pone.0104273.
    1. Wu J, Wen XW, Faulk C, Boehnke K, Zhang H, Dolinoy DC, et al. Perinatal Lead Exposure Alters Gut Microbiota Composition and Results in Sex-specific Bodyweight Increases in Adult Mice. Toxicol Sci. 2016;151(2):324–33. 10.1093/toxsci/kfw046.
    1. Crider KS, Yang TP, Berry RJ, Bailey LB. Folate and DNA methylation: a review of molecular mechanisms and the evidence for folate’s role. Adv Nutr. 2012;3(1):21–38. 10.3945/an.111.000992.
    1. Antoniades C, Shirodaria C, Warrick N, Cai S, Bono Jd, Lee J, et al. 5-Methyltetrahydrofolate Rapidly Improves Endothelial Function and Decreases Superoxide Production in Human Vessels. Circulation. 2006;114(11):1193–201. 10.1161/CIRCULATIONAHA.106.612325.
    1. Homocysteine Lowering Trialists’ Collaboration. Dose-dependent effects of folic acid on blood concentrations of homocysteine: a meta-analysis of the randomized trials. Am J Clin Nutr. 2005;82(4):806–12. 10.1093/ajcn/82.4.806.
    1. Joshi R, Adhikari S, Patro BS, Chattopadhyay S, Mukherjee T. Free radical scavenging behavior of folic acid: evidence for possible antioxidant activity. Free Radic Biol Med. 2001;30(12):1390–9. 10.1016/s0891-5849(01)00543-3.
    1. Zhao M, Chen YH, Dong XT, Zhou J, Chen X, Wang H, et al. Folic acid protects against lipopolysaccharide-induced preterm delivery and intrauterine growth restriction through its anti-inflammatory effect in mice. PLoS One. 2013;8(12):e82713. 10.1371/journal.pone.0082713.
    1. Greenberg JA, Bell SJ, Guan Y, Yu YH. Folic Acid supplementation and pregnancy: more than just neural tube defect prevention. Rev Obstet Gynecol. 2011;4(2):52–9.
    1. Horton MK, Hsu L, Claus Henn B, Margolis A, Austin C, Svensson K, et al. Dentine biomarkers of prenatal and early childhood exposure to manganese, zinc and lead and childhood behavior. Environ Int. 2018;121(Pt 1):148–58. 10.1016/j.envint.2018.08.045.
    1. Zhang Y, Dong T, Hu W, Wang X, Xu B, Lin Z, et al. Association between exposure to a mixture of phenols, pesticides, and phthalates and obesity: Comparison of three statistical models. Environment International. 2019;123:325–36. 10.1016/j.envint.2018.11.076.
    1. Czarnota J, Gennings C, Wheeler DC. Assessment of weighted quantile sum regression for modeling chemical mixtures and cancer risk. Cancer Inform. 2015;14(Suppl 2):159–71. 10.4137/CIN.S17295.
    1. Keil AP, Buckley JP, O’Brien KM, Ferguson KK, Zhao S, White AJ. A Quantile-Based g-Computation Approach to Addressing the Effects of Exposure Mixtures. Environ Health Perspect. 2020;128(4):47004. 10.1289/ehp5838.
    1. Gillman MW, Ludwig DS. How early should obesity prevention start? N Engl J Med. 2013;369(23):2173–5. 10.1056/NEJMp1310577.
    1. Risher JF, De Rosa CT, Jones DE, Murray HE. Updated toxicological profile for mercury. Toxicol Ind Health. 1999;15(5):480–2. 10.1177/074823379901500503.
    1. Abadin H, Ashizawa A, Stevens YW, Llados F, Diamond G, Sage G, et al. Toxicological Profile for Lead. Agency for Toxic Substances and Disease Registry (ATSDR) Toxicological Profiles. Atlanta (GA) 2007.
    1. Faroon O, Ashizawa A, Wright S, Tucker P, Jenkins K, Ingerman L, et al. Toxicological Profile for Cadmium. Agency for Toxic Substances and Disease Registry (ATSDR) Toxicological Profiles. Atlanta (GA) 2012.
    1. Zhang M, Chang H, Wang G, et al. Longitudinal trajectories and determinants of plasma per- and polyfluoroalkyl substance (PFAS) levels from birth to early childhood and metabolomic associations: A pilot study in the Boston Birth Cohort. Precis Nutr 2022;1(1): e00003. 10.1097/PN9.0000000000000003.
    1. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal statistical society: series B (Methodological). 1995;57(1):289–300. 10.1111/j.2517-6161.1995.tb02031.x.

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