Evidence map›Paper›PMID 33889422›Full record

ArticleIntegrative molecular medicine2015

Blood inorganic mercury is directly associated with glucose levels in the human population and may be linked to processed food intake.

Renee Dufault, Zara Berg, Raquel Crider, Roseanne Schnoll, Larry Wetsit, Wayne Two Bulls, Steven G Gilbert, H M Skip Kingston, Mesay Mulugeta Wolle, G M Mizanur Rahman and 1 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Integrative molecular medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Synergism in aluminum and mercury neurotoxicity.Integrative food, nutrition and metabolism · 2018
    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

11 authors at 3 institutions in 1 country.

Renee DufaultFood Ingredient and Health Research Institute, Naalehu, Hawaii, USA.
Zara BergFort Peck Community College, Poplar, Montana, USA.
Raquel CriderFood Ingredient and Health Research Institute, Naalehu, Hawaii, USA.
Roseanne SchnollFood Ingredient and Health Research Institute, Naalehu, Hawaii, USA.
Larry WetsitFort Peck Community College, Poplar, Montana, USA.
Wayne Two BullsFort Peck Community College, Poplar, Montana, USA.
Steven G GilbertFood Ingredient and Health Research Institute, Naalehu, Hawaii, USA.
H M Skip KingstonDepartment of Chemistry and Biochemistry, Duquesne University, Pittsburgh, Pennsylvania, USA.
Mesay Mulugeta WolleDepartment of Chemistry and Biochemistry, Duquesne University, Pittsburgh, Pennsylvania, USA.
G M Mizanur RahmanDepartment of Chemistry and Biochemistry, Duquesne University, Pittsburgh, Pennsylvania, USA.
Dan R LaksDepartment of Biological Chemistry, University of California Los Angeles (UCLA), Los Angeles, California, USA.
Food Ingredient and Health Research Institute · USDuquesne University · USFort Peck Community College · US

Funding

EPA EP-11-H-000737EPA EP-W-12-023
6 · The paper itself

Abstract

backgroundThe goals of the study were (1) to determine the impact of inorganic mercury exposure on glucose homeostasis; and (2) to evaluate the effectiveness of two community-based interventions in promoting dietary changes among American Indian college students to reduce risk factors for Type-2 Diabetes including fasting glucose, insulin, and mercury levels, weight, and body mass index.

methodsTo accomplish goal one, the National Health and Nutrition Examination Survey (NHANES) dataset was analyzed using a previously published method to determine if there is a relationship between inorganic blood mercury and fasting glucose. To accomplish goal two, ten college students were recruited and randomly assigned to a group receiving the online macroepigenetics nutrition course and the support group for eliminating corn sweeteners. Participants in both groups were assessed for diet patterns, weight, body mass index (BMI), fasting glucose, insulin, and mercury levels. The interventions were implemented over a 10-week period.

resultsAnalysis of the NHANES data (n=16,232) determined a direct relationship between inorganic mercury in blood and fasting glucose levels (p<0.001). The participants who took the online macroepigenetics nutrition intervention course significantly improved their diets (p<0.01), and fasting blood glucose levels (p<0.01) while having lower levels of inorganic mercury in their blood compared to the subjects in the group who eliminated corn sweeteners from their diet and participated in the support group. The trend in lower blood inorganic mercury was strong with p=0.052. The participants in the support group who eliminated corn sweeteners from their diet achieved significant weight loss (p<0.01) and reduced their body mass index (p<0.01).

conclusionTotal blood mercury levels may be influenced by dietary intake of highly processed foods and lower inorganic mercury levels are associated with lower fasting glucose levels. Alternative community-based interventions emphasizing the role food ingredients and toxic substances play in gene modulation and the development of diseases can result in significant dietary improvements and reductions in risk factors associated with type-2 diabetes. A healthier diet can be promoted among community members using a novel online nutrition course. Consumption of corn sweeteners may be a risk factor in the development of obesity.

Indexed as

corn syrupdiabetesdietfructoseglucosemacroepigeneticsmercuryNHANESonline

Identifiers

PMID33889422
PMCPMC8059611
OpenAlexW2185337385

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.