Evidence map›Paper›PMID 34995543›Full record

ArticleEnvironmental research2022

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

Xueying Zhang, Yueh-Hsiu Mathilda Chiu, Srimathi Kannan, Whitney Cowell, Wenying Deng, Brent A Coull, Robert O Wright, Rosalind J Wright

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Xueying ZhangDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: xueying.zhang@mssm.edu.
Yueh-Hsiu Mathilda ChiuDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Srimathi KannanDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Whitney CowellDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Wenying DengDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Brent A CoullDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Robert O WrightDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Rosalind J WrightDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · USHarvard University · USUniversity of Michigan · US

Funding

Mount Sinai ECHO site for Perinatal Environment and Development StudiesUH3OD023337 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KECIA Nicole CARROLL, Robert O Wright · 2018 to 2026
$54.1M
Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Chris Gennings · 2014 to 2026
$21.3M
Mount Sinai ECHO site for Perinatal Environment and Development StudiesUG3OD023337 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CARROLL, KECIA NICOLE, WRIGHT, ROBERT O · 2016 to 2024
$20.6M
Perinatal Programming of Infant Stress Reactivity and the Atopic PhenotypeR01HL095606 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BOSQUET ENLOW, MICHELLE A, WRIGHT, ROSALIND J · 2010 to 2013
$3.1M
Prenatal stress and epigenetic programming of the HPA axis and autonomic balanceR01HL114396 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WRIGHT, ROSALIND J · 2012 to 2015
$2.8M
Methods for Data Integration and Risk Assessment for Environmental MixturesR01ES028811 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI COULL, BRENT ANDREW, GENNINGS, CHRIS · 2018 to 2021
$1.9M
Prenatal diet, PM2.5 and programming of the infant autonomic responseR21ES021318 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WRIGHT, ROSALIND J · 2012 to 2014
$502k
Particulate Air Pollution, Pregnancy Outcomes, and the Role of Placental Extracellular microRNAsK99ES032029 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI COWELL, WHITNEY · 2020 to 2021
$209k
NCATS NIH HHS UL1 TR004419NHLBI NIH HHS R01 HL095606NHLBI NIH HHS R01 HL114396NIEHS NIH HHS K99 ES032029NIEHS NIH HHS P30 ES000002NIEHS NIH HHS P30 ES023515NIEHS NIH HHS R01 ES028811NIEHS NIH HHS R21 ES021318NIH HHS UG3 OD023337NIH HHS UH3 OD023337
6 · The paper itself

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.

Indexed as

MetalsTrace ElementsBayes TheoremBirth WeightFemaleHumansInfantInfant, NewbornMalePregnancyVitaminsMetalsTrace ElementsVitaminsBirth weight z-scoreKernel ensemble modelNutritional factorsPrenatal metals

Identifiers

PMID34995543
PMCPMC8916990
OpenAlexW4206557090

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.