Evidence map›Paper›PMID 29511319›Full record

ArticleInternational journal of obesity (2005)2018

Cadmium exposure increases the risk of juvenile obesity: a human and zebrafish comparative study.

Adrian J Green, Cathrine Hoyo, Carolyn J Mattingly, Yiwen Luo, Jung-Ying Tzeng, Susan K Murphy, David B Buchwalter, Antonio Planchart

Abstract readComparative Study
In one paragraph

Article in International journal of obesity (2005), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
12.0field-weighted citation impact, top 1% 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

34 citing papers in PubMed, 74 citations in OpenAlex.

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  6. Anthocyanins fromPharmaceuticals (Basel, Switzerland) · 2024
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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 2 institutions in 1 country.

Adrian J GreenDepartment of Biological Sciences, North Carolina State University, Raleigh, NC, 27695, USA.
Cathrine HoyoDepartment of Biological Sciences, North Carolina State University, Raleigh, NC, 27695, USA.
Carolyn J MattinglyDepartment of Biological Sciences, North Carolina State University, Raleigh, NC, 27695, USA.
Yiwen LuoDepartment of Statistics, North Carolina State University, Raleigh, NC, 27695, USA.
Jung-Ying TzengDepartment of Statistics, North Carolina State University, Raleigh, NC, 27695, USA.
Susan K MurphyDepartment of Obstetrics and Gynecology, Division of Gynecological Oncology, Duke University School of Medicine, Durham, NC, 27710, USA.
David B BuchwalterDepartment of Biological Sciences, North Carolina State University, Raleigh, NC, 27695, USA.
Antonio PlanchartDepartment of Biological Sciences, North Carolina State University, Raleigh, NC, 27695, USA. ajplanch@ncsu.edu.ORCID http://orcid.org/0000-0001-8691-8856
North Carolina State University · USDuke University · US

Funding

Translational Research Support CoreP30ES025128 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Andrew R. Binder · 2015 to 2026
$18.3M
TRAINING IN BIOCHEMICAL AND ENVIRONMENTAL TOXICOLOGYT32ES007046 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Seth William Kullman · 1985 to 2026
$5.1M
Project 3: Epigenomic Consequences of Early Life Environmental Tobacco Smoke P01ES022831 · NIEHS · DUKE UNIVERSITY · PI MURPHY, SUSAN KAY · 2013 to 2018
$4.1M
Nutrition, Deregulation of Imprinted GenesR01ES016772 · NIEHS · DUKE UNIVERSITY · PI HOYO, CATHRINE · 2009 to 2013
$3.1M
NIEHS NIH HHS P30 ES025128NIEHS NIH HHS R01 ES016772NIEHS NIH HHS T32 ES007046
6 · The paper itself

Abstract

objectiveHuman obesity is a complex metabolic disorder disproportionately affecting people of lower socioeconomic strata, and ethnic minorities, especially African Americans and Hispanics. Although genetic predisposition and a positive energy balance are implicated in obesity, these factors alone do not account for the excess prevalence of obesity in lower socioeconomic populations. Therefore, environmental factors, including exposure to pesticides, heavy metals, and other contaminants, are agents widely suspected to have obesogenic activity, and they also are spatially correlated with lower socioeconomic status. Our study investigates the causal relationship between exposure to the heavy metal, cadmium (Cd), and obesity in a cohort of children and in a zebrafish model of adipogenesis.

designAn extensive collection of first trimester maternal blood samples obtained as part of the Newborn Epigenetics Study (NEST) was analyzed for the presence of Cd, and these results were cross analyzed with the weight-gain trajectory of the children through age 5 years. Next, the role of Cd as a potential obesogen was analyzed in an in vivo zebrafish model.

resultsOur analysis indicates that the presence of Cd in maternal blood during pregnancy is associated with increased risk of juvenile obesity in the offspring, independent of other variables, including lead (Pb) and smoking status. Our results are recapitulated in a zebrafish model, in which exposure to Cd at levels approximating those observed in the NEST study is associated with increased adiposity.

conclusionOur findings identify Cd as a potential human obesogen. Moreover, these observations are recapitulated in a zebrafish model, suggesting that the underlying mechanisms may be evolutionarily conserved, and that zebrafish may be a valuable model for uncovering pathways leading to Cd-mediated obesity in human populations.

Indexed as

AdipogenesisAnimalsCadmiumDisease Models, AnimalEnvironmental ExposureFemaleHumansInfant, NewbornMaleMaternal ExposureMetals, HeavyPediatric ObesityPregnancyPregnant PeoplePrenatal Exposure Delayed EffectsProspective StudiesCadmiumMetals, Heavy

Identifiers

PMID29511319
PMCPMC6054604
OpenAlexW2950764673

What OpenQuestion holds

Textmetadata
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.