Literature DB >> 34995543

Joint associations among prenatal metal mixtures and nutritional factors on birth weight z-score: Evidence from an urban U.S. population.

Xueying Zhang1, Yueh-Hsiu Mathilda Chiu2, Srimathi Kannan3, Whitney Cowell2, Wenying Deng4, Brent A Coull5, Robert O Wright6, Rosalind J Wright6.   

Abstract

The benefits of nutritional factors on birth outcomes have been recognized, however, limited studies have examined the role of nutritional factors in mitigating the detrimental effects of metals exposure during gestation. We used data collected from 526 mother-infant dyads enrolled in the Programming of Intergenerational Stress Mechanisms longitudinal pregnancy cohort to examine the joint effects of prenatal exposure to metals and maternal nutrition on birth weight for gestational age (BWGA) z-scores. We measured concentrations of twelve metals and trace elements in urine samples collected during pregnancy. Maternal nutritional intake was measured using the Block98 Food Frequency Questionnaire and converted into energy-adjusted consumption of individual nutrients. Using multivariable linear regression and Bayesian Kernel Machine Regression, we found that three metals [cobalt (Co), nickel (Ni), and lead (Pb)] and five metals [barium (Ba), caesium (Cs), copper (Cu), Ni, and zinc (Zn)] were associated with BWGA z-score in male and female infants, respectively. When examining the sex-specific interactions between these metals and nutrient groups [macro nutrients, minerals, A vitamins, B vitamins, anti-oxidant, methyl-donor nutrients, and inflammatory (pro- and anti-)] using a Cross-validated Kernel Ensemble model, we identified significant interactions between the macro nutrients and Co (p = 0.05), minerals and Pb (p = 0.04), and A vitamins and Ni (p = 0.001) in males. No significant interactions were found in females. Furthermore, three minerals (phosphorus, iron, potassium) and vitamin A were found to be more crucial than other nutrients in modifying the association between each respective metal and BWGA z-score in males. A better understanding of the sex-specific interactions between nutrients and metals on birth weight can guide pregnant women to protect their neonates from the adverse health impacts of metal exposures by optimizing nutrient intakes accordingly.
Copyright © 2022 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Birth weight z-score; Kernel ensemble model; Nutritional factors; Prenatal metals

Mesh:

Substances:

Year:  2022        PMID: 34995543      PMCID: PMC8916990          DOI: 10.1016/j.envres.2022.112675

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  84 in total

Review 1.  Effects of prenatal exposure to endocrine disruptors and toxic metals on the fetal epigenome.

Authors:  Paige A Bommarito; Elizabeth Martin; Rebecca C Fry
Journal:  Epigenomics       Date:  2017-02-17       Impact factor: 4.778

2.  A data-based approach to diet questionnaire design and testing.

Authors:  G Block; A M Hartman; C M Dresser; M D Carroll; J Gannon; L Gardner
Journal:  Am J Epidemiol       Date:  1986-09       Impact factor: 4.897

3.  Dietary and supplemental maternal methyl-group donor intake and cord blood DNA methylation.

Authors:  Sara Pauwels; Manosij Ghosh; Radu Corneliu Duca; Bram Bekaert; Kathleen Freson; Inge Huybrechts; Sabine A S Langie; Gudrun Koppen; Roland Devlieger; Lode Godderis
Journal:  Epigenetics       Date:  2016-11-10       Impact factor: 4.528

4.  Sex differences in the effects of prenatal lead exposure on birth outcomes.

Authors:  Ju Wang; Zhen-Yan Gao; Jin Yan; Xiao-Lan Ying; Shi-Lu Tong; Chong-Huai Yan
Journal:  Environ Pollut       Date:  2017-04-01       Impact factor: 8.071

5.  Prenatal exposure to neurotoxic metals is associated with increased placental glucocorticoid receptor DNA methylation.

Authors:  Allison A Appleton; Brian P Jackson; Margaret Karagas; Carmen J Marsit
Journal:  Epigenetics       Date:  2017-05-26       Impact factor: 4.528

6.  Low birth weight in the United States.

Authors:  Robert L Goldenberg; Jennifer F Culhane
Journal:  Am J Clin Nutr       Date:  2007-02       Impact factor: 7.045

Review 7.  Potassium and health.

Authors:  Connie M Weaver
Journal:  Adv Nutr       Date:  2013-05-01       Impact factor: 8.701

Review 8.  Chemical mixtures and children's health.

Authors:  Birgit Claus Henn; Brent A Coull; Robert O Wright
Journal:  Curr Opin Pediatr       Date:  2014-04       Impact factor: 2.856

9.  Prenatal lead exposure and weight of 0- to 5-year-old children in Mexico city.

Authors:  Myriam Afeiche; Karen E Peterson; Brisa N Sánchez; David Cantonwine; Héctor Lamadrid-Figueroa; Lourdes Schnaas; Adrienne S Ettinger; Mauricio Hernández-Avila; Howard Hu; Martha M Téllez-Rojo
Journal:  Environ Health Perspect       Date:  2011-06-29       Impact factor: 9.031

10.  Prenatal Metal Mixtures and Birth Weight for Gestational Age in a Predominately Lower-Income Hispanic Pregnancy Cohort in Los Angeles.

Authors:  Caitlin G Howe; Birgit Claus Henn; Sandrah P Eckel; Shohreh F Farzan; Brendan H Grubbs; Thomas A Chavez; Tahlia L Hodes; Dema Faham; Laila Al-Marayati; Deborah Lerner; Alyssa Quimby; Sara Twogood; Michael J Richards; John D Meeker; Theresa M Bastain; Carrie V Breton
Journal:  Environ Health Perspect       Date:  2020-11-03       Impact factor: 9.031

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