Evidence map›Paper›PMID 30820238›Full record

ArticleNutrition & metabolism2019

Dietary iron interacts with genetic background to influence glucose homeostasis.

Mario A Miranda, Celine L St Pierre, Juan F Macias-Velasco, Huyen Anh Nguyen, Heather Schmidt, Lucian T Agnello, Jessica P Wayhart, Heather A Lawson

Open access · goldAbstract read
In one paragraph

Article in Nutrition & metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Regulatory Connections between Iron and Glucose Metabolism.International journal of molecular sciences · 2020
    Review
  7. 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 1 institution in 1 country.

Mario A MirandaDepartment of Genetics, Washington University School of Medicine in Saint Louis, 660 South Euclid Ave, Saint Louis, MO 63110 USA.
Celine L St PierreDepartment of Genetics, Washington University School of Medicine in Saint Louis, 660 South Euclid Ave, Saint Louis, MO 63110 USA.
Juan F Macias-VelascoDepartment of Genetics, Washington University School of Medicine in Saint Louis, 660 South Euclid Ave, Saint Louis, MO 63110 USA.
Huyen Anh NguyenDepartment of Genetics, Washington University School of Medicine in Saint Louis, 660 South Euclid Ave, Saint Louis, MO 63110 USA.
Heather SchmidtDepartment of Genetics, Washington University School of Medicine in Saint Louis, 660 South Euclid Ave, Saint Louis, MO 63110 USA.
Lucian T AgnelloDepartment of Genetics, Washington University School of Medicine in Saint Louis, 660 South Euclid Ave, Saint Louis, MO 63110 USA.
Jessica P WayhartDepartment of Genetics, Washington University School of Medicine in Saint Louis, 660 South Euclid Ave, Saint Louis, MO 63110 USA.
Heather A LawsonDepartment of Genetics, Washington University School of Medicine in Saint Louis, 660 South Euclid Ave, Saint Louis, MO 63110 USA.ORCID 0000-0002-3550-5485
Washington University in St. Louis · US

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
TRAINING PROGRAM IN CELLULAR AND MOLECULAR BIOLOGYT32GM007067 · NIGMS · WASHINGTON UNIVERSITY · PI TRUE-KROB, HEATHER L · 1985 to 2020
$20.4M
INSTITUTIONAL TRAINING GRANT IN GENOMIC SCIENCET32HG000045 · NHGRI · WASHINGTON UNIVERSITY · PI MICHAEL R BRENT, Barak A Cohen · 1997 to 2026
$8.4M
Imaging, Modeling and Engineering of Diabetic TissuesT32DK108742 · NIDDK · WASHINGTON UNIVERSITY · PI NICHOLS, COLIN G · 2016 to 2020
$1.4M
IDENTIFYING SIGNATURES OF IMPRINTING EFFECTS ASSOCIATED WITH OBESITY AND T2DK01DK095003 · NIDDK · WASHINGTON UNIVERSITY · PI LAWSON, HEATHER A. · 2013 to 2016
$492k
NHGRI NIH HHS T32 HG000045NIDDK NIH HHS K01 DK095003NIDDK NIH HHS P30 DK056341NIDDK NIH HHS T32 DK108742NIGMS NIH HHS T32 GM007067
6 · The paper itself

Abstract

backgroundIron is a critical component of metabolic homeostasis, but consumption of dietary iron has increased dramatically in the last 30 years, corresponding with the rise of metabolic disease. While the link between iron metabolism and metabolic health is well established, the extent to which dietary iron contributes to metabolic disease risk is unexplored. Further, it is unknown how dietary iron interacts with genetic background to modify metabolic disease risk.

methodsLG/J and SM/J inbred mouse strains were used to investigate the relationship between genetic background and metabolic function during an 8-week high iron diet. Glucose tolerance and adiposity were assessed, colorimetric assays determined levels of circulating metabolic markers, and hepatic iron content was measured. RNA sequencing was performed on white adipose tissue to identify genes differentially expressed across strain, diet, and strain X diet cohorts. Hepatic

resultsLG/J mice experienced elevated fasting glucose and glucose intolerance during the high iron diet, corresponding with increased hepatic iron load, increased circulating ferritin, and signs of liver injury. Adipose function was also altered in high iron-fed LG/J mice, including decreased adiposity and leptin production and differential expression of genes involved in iron and glucose homeostasis. LG/J mice failed to upregulate hepatic

conclusionsThis study highlights the importance of accounting for genetic variation when assessing the effects of diet on metabolic health, and suggests dietary iron's impact on liver and adipose tissue is an underappreciated component of metabolic disease risk.

Identifiers

PMID30820238
PMCPMC6380031
OpenAlexW2922455322

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.