Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

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

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

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

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.
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).
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.
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).

Similar content being viewed by others

Data availability

The data, data dictionary, and analytical programs for this manuscript are not currently available to the public. However, they can be made available upon reasonable request and after the review and approval of the institutional review board.

Code availability

The R code supporting the findings of this study are available upon request from the corresponding author.

References

  1. WHO (World Health Organization). Preventing disease through healthy environment: Action is needed on chemicals of major public health concern 2010 [Available from: http://www.who.int/ipcs/features/chemicals_concern/en/.

  2. ATSDR (Agency for Toxic Substances and Disease Registry). Substance Priority List 2020 [Available from: https://www.atsdr.cdc.gov/spl/index.html.

  3. 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;24:537–44.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. 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;80:502–12.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. 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.

    Article  CAS  PubMed  Google Scholar 

  6. 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:e177–e84.

    Article  PubMed  Google Scholar 

  7. 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;112:562–70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. 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.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  9. Breton CV, Farzan SF. Invited Perspective: Metal Mixtures and Child Health: The Complex Interplay of Essential and Toxic Elements. Environmental Health Perspectives. 2021;129:061301.

    Article  PubMed Central  Google Scholar 

  10. 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;129:067005.

    Article  PubMed Central  Google Scholar 

  11. Sanders T, Liu Y, Buchner V, Tchounwou PB. Neurotoxic effects and biomarkers of lead exposure: a review. Rev Environ Health. 2009;24:15–45.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Chang LW. Neurotoxic effects of mercury-a review. Environmental research. 1977;14:329–73.

    Article  CAS  PubMed  Google Scholar 

  13. 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:e1912343.

    Article  PubMed  PubMed Central  Google Scholar 

  14. 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;17:216.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  15. 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;171:251–61.

    Article  CAS  PubMed  Google Scholar 

  16. NIH (National Institutes of Health). Strategic Plan 2018-2023: Advancing Environmental Health Sciences Improving Health 2018 [Available from: https://www.niehs.nih.gov/about/strategicplan/strategicplan20182023_508.pdf.

  17. Furst A. Can nutrition affect chemical toxicity? Int J Toxicol. 2002;21:419–24.

    Article  CAS  PubMed  Google Scholar 

  18. 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;115:493–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Aguirre JD, Culotta VC. Battles with iron: manganese in oxidative stress protection. J Biol Chem. 2012;287:13541–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. 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;276:1957–63.

    Article  CAS  PubMed  Google Scholar 

  21. Rayman MP. The importance of selenium to human health. Lancet. 2000;356:233–41.

    Article  CAS  PubMed  Google Scholar 

  22. 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.

    Article  CAS  PubMed  Google Scholar 

  23. 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;82:121–9.

    Article  CAS  PubMed  Google Scholar 

  24. 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.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  25. 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;100:1470–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. 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;16:493–508.

    Article  PubMed  Google Scholar 

  27. 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;17:67.

    Article  PubMed  PubMed Central  Google Scholar 

  28. 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;311:587–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Shemin D, Rittenberg D. The life span of the human red blood cell. J Biol Chem. 1946;166:627–36.

    Article  CAS  PubMed  Google Scholar 

  30. 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;313:1325–35.

    Article  CAS  PubMed  Google Scholar 

  31. CDC (Centers for Disease Control and Prevention). CDC growth chart 2000 [updated November 26, 2013. 2000:[Available from: https://www.cdc.gov/growthcharts/.

  32. CDC. Overweight & obesity: defining childhood obesity. Centers for Disease Control and Prevention 2018 [Available from: https://www.cdc.gov/obesity/childhood/defining.html.

  33. Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159:702–6.

    Article  PubMed  Google Scholar 

  34. 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;30:962.

  35. 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:e61627.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  36. Scott JG, Berger JO. Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem. The Annals of Statistics. 2010;38:2587–619.

    Article  Google Scholar 

  37. Martinez-Esquivel A, Trujillo-Silva DJ, Cilia-Lopez VG. Impact of environmental pollution on the obesogenic environment. Nutr Rev. 2022. https://doi.org/10.1093/nutrit/nuac003.

    Article  PubMed  Google Scholar 

  38. 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.

    Article  CAS  PubMed  Google Scholar 

  39. Rhee DK, Ji Y, Hong X, Pearson C, Wang X, Caulfield LEMediterranean-Style Diet and Birth Outcomes in an Urban, Multiethnic, and Low-Income US Population. Nutrients. 2021;13:41188.

  40. 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;20:100–20.

    Article  PubMed  Google Scholar 

  41. CDC. Pregnancy Complications 2020 [updated August 13, 2020. Available from: https://www.cdc.gov/reproductivehealth/maternalinfanthealth/pregnancy-complications.html.

  42. 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;108:799–807.

    Article  PubMed  PubMed Central  Google Scholar 

  43. 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;45:1468–74.

    Article  CAS  PubMed  Google Scholar 

  44. 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;60:21–9.

    PubMed  PubMed Central  Google Scholar 

  45. 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;17:354.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  46. Freire C, Amaya E, Gil F, Murcia M, LLop S, Casas M, et al. Placental metal concentrations and birth outcomes: The Environment and Childhood (INMA) project. Int J Hyg Environ Health. 2019;222:468–78. https://doi.org/10.1016/j.ijheh.2018.12.014.

    Article  CAS  PubMed  Google Scholar 

  47. 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. https://doi.org/10.1016/j.scitotenv.2017.11.273.

    Article  CAS  PubMed  Google Scholar 

  48. 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;125:067015.

    Article  PubMed  PubMed Central  Google Scholar 

  49. 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;31:157–63.

    Article  PubMed  PubMed Central  Google Scholar 

  50. 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.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  51. 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;103:952–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. 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.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  53. 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:e104273.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  54. 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;151:324–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. 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;3:21–38.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. 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;114:1193–201.

    Article  CAS  PubMed  Google Scholar 

  57. 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;82:806–12.

    Article  Google Scholar 

  58. 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;30:1390–9.

    Article  CAS  PubMed  Google Scholar 

  59. 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:e82713.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  60. Greenberg JA, Bell SJ, Guan Y, Yu YH. Folic Acid supplementation and pregnancy: more than just neural tube defect prevention. Rev Obstet Gynecol. 2011;4:52–9.

    PubMed  PubMed Central  Google Scholar 

  61. 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;121:148–58.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. 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.

    Article  CAS  PubMed  Google Scholar 

  63. Czarnota J, Gennings C, Wheeler DC. Assessment of weighted quantile sum regression for modeling chemical mixtures and cancer risk. Cancer Inform. 2015;14:159–71.

    PubMed  PubMed Central  Google Scholar 

  64. 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;128:47004.

    Article  PubMed  Google Scholar 

  65. Gillman MW, Ludwig DS. How early should obesity prevention start? N Engl J Med. 2013;369:2173–5.

    Article  CAS  PubMed  Google Scholar 

  66. Risher JF, De Rosa CT, Jones DE, Murray HE. Updated toxicological profile for mercury. Toxicol Ind Health. 1999;15:480–2.

    Article  CAS  PubMed  Google Scholar 

  67. 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.

  68. 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.

  69. 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:e00003. https://doi.org/10.1097/PN9.0000000000000003.

  70. 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;57:289–300.

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank all study participants in the Boston Birth Cohort. The authors also acknowledge the nursing staff at Labor and Delivery of the Boston Medical Center and the field team for their contributions to the Boston Birth Cohort. The Boston Birth Cohort (the parent study) was supported in part by the National Institutes of Health (NIH) grants (R21ES011666, 2R01HD041702, R21HD066471, R01HD086013, R01HD098232, R01ES031272, and R01ES031521); and the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) (UJ2MC31074). Dr. Guoying Wang is also supported by grant R03ES029594 from the NIH/National Institute of Environmental Health Science. This study was possible in part due to funding for programmatic analytical capacity and capability through Cooperative Agreement #CDC-RFA-EH14-140203 between the New Jersey Department of Health (NJDOH) Public Health and Environmental Laboratories (PHEL) and the Centers for Disease Control and Prevention (CDC) States Biomonitoring Grant Program. This information or content and conclusions are those of the authors and should not be construed as the official position or policy of, nor should any endorsements be inferred by any funding agencies.

Author information

Authors and Affiliations

Authors

Contributions

The authors’ responsibilities were as follows—WH, TI, EB, and XW conceived and designed the study; XW, GW, XH participated in biosample collection, storage, and preparation; EB, AS, JM, DH, ZF conducted metals/trace elements lab analysis; XW, GW have full access to the data and verified the underlying data; WH conducted all the statistical analyses, and TI, RX, XH, XW provided assistance; TI, EB, ZF, and XW offered administrative, technical, and material supports; XW, GW, and ZF obtained funding; all authors contributed to the critical review and revision of the manuscript and approved the final manuscript.

Corresponding authors

Correspondence to Tak Igusa or Xiaobin Wang.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, W., Igusa, T., Wang, G. et al. In-utero co-exposure to toxic metals and micronutrients on childhood risk of overweight or obesity: new insight on micronutrients counteracting toxic metals. Int J Obes 46, 1435–1445 (2022). https://doi.org/10.1038/s41366-022-01127-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41366-022-01127-x

This article is cited by

Search

Quick links