Evidence map›Paper›PMID 29460222›Full record

ReviewCurrent environmental health reports2018

Heavy Metal Exposure and Metabolic Syndrome: Evidence from Human and Model System Studies.

Antonio Planchart, Adrian Green, Cathrine Hoyo, Carolyn J Mattingly

Open access · greenAbstract readReview
In one paragraph

Review in Current environmental health reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 5 pooled it
8.4field-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

72 citing papers in PubMed, 5 syntheses or guidelines pooled it, 168 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Urinary metal exposure, systemic inflammation, and advanced cardiovascular-kidney-metabolic syndrome risk in US adults.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
    Article
  8. Article
  9. From environmental exposure to retinal pathology: epidemiological and mechanistic insights into multi-metal driven ocular diseases.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Endocrine disruptors, obesity, and metabolic syndrome.Turkish journal of medical sciences · 2025
    Review
  19. Article
  20. Review

12 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Antonio PlanchartDepartment of Biological Sciences, NC State University, Toxicology building, 850 Main Campus Dr, Raleigh, NC, 27606, USA.
Adrian GreenDepartment of Biological Sciences, NC State University, Toxicology building, 850 Main Campus Dr, Raleigh, NC, 27606, USA.
Cathrine HoyoDepartment of Biological Sciences, NC State University, Toxicology building, 850 Main Campus Dr, Raleigh, NC, 27606, USA.
Carolyn J MattinglyDepartment of Biological Sciences, NC State University, Toxicology building, 850 Main Campus Dr, Raleigh, NC, 27606, USA. cjmattin@ncsu.edu.
North Carolina State University · US

Funding

Translational Research Support CoreP30ES025128 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Sue Fenton · 2015 to 2026
$18.3M
The Comparative Toxicogenomics Database (CTD)R01ES014065 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI DAVIS, ALLAN PETER, MATTINGLY, CAROLYN J. · 2006 to 2021
$10.5M
TRAINING IN BIOCHEMICAL AND ENVIRONMENTAL TOXICOLOGYT32ES007046 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Seth William Kullman · 1985 to 2026
$5.1M
Advancing mechanism-based studies with cross-species chemical-phenotype dataR01ES023788 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MATTINGLY, CAROLYN J. · 2015 to 2019
$1.6M
NIEHS NIH HHS P30 ES025128NIEHS NIH HHS R01 ES014065NIEHS NIH HHS R01 ES023788NIEHS NIH HHS T32 ES007046
6 · The paper itself

Abstract

purpose of reviewMetabolic syndrome (MS) describes the co-occurrence of conditions that increase one's risk for heart disease and other disorders such as diabetes and stroke. The worldwide increase in the prevalence of MS cannot be fully explained by lifestyle factors such as sedentary behavior and caloric intake alone. Environmental exposures, such as heavy metals, have been implicated, but results are conflicting and possible mechanisms remain unclear. To assess recent progress in determining a possible role between heavy metal exposure and MS, we reviewed epidemiological and model system data for cadmium (Cd), lead (Pb), and mercury (Hg) from the last decade. RECENT

findingsData from 36 epidemiological studies involving 17 unique countries/regions and 13 studies leveraging model systems are included in this review. Epidemiological and model system studies support a possible association between heavy metal exposure and MS or comorbid conditions; however, results remain conflicting. Epidemiological studies were predominantly cross-sectional and collectively, they highlight a global interest in this question and reveal evidence of differential susceptibility by sex and age to heavy metal exposures. In vivo studies in rats and mice and in vitro cell-based assays provide insights into potential mechanisms of action relevant to MS including altered regulation of lipid and glucose homeostasis, adipogenesis, and oxidative stress. Heavy metal exposure may contribute to MS or comorbid conditions; however, available data are conflicting. Causal inference remains challenging as epidemiological data are largely cross-sectional; and variation in study design, including samples used for heavy metal measurements, age of subjects at which MS outcomes are measured; the scope and treatment of confounding factors; and the population demographics vary widely. Prospective studies, standardization or increased consistency across study designs and reporting, and consideration of molecular mechanisms informed by model system studies are needed to better assess potential causal links between heavy metal exposure and MS.

Indexed as

AnimalsCadmiumDisease Models, AnimalHumansLeadMercuryMetabolic SyndromeMetals, HeavyCadmiumLeadMercuryMetals, HeavyCadmiumDiabetesHeavy metalsMercuryMetabolic syndromePb

Identifiers

PMID29460222
PMCPMC6053628
OpenAlexW2791487255

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.