Evidence map›Paper›PMID 30526554›Full record

ArticleBMC genomics2018

A high-fat diet alters genome-wide DNA methylation and gene expression in SM/J mice.

Madeline Rose Keleher, Rabab Zaidi, Lauren Hicks, Shyam Shah, Xiaoyun Xing, Daofeng Li, Ting Wang, James M Cheverud

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

30 citing papers in PubMed, 57 citations in OpenAlex.

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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.

Madeline Rose KeleherDepartment of Evolution, Ecology, and Population Biology, Washington University in St. Louis, St. Louis, MO, 63105, USA. madeline.keleher@ucdenver.edu.ORCID http://orcid.org/0000-0002-9735-6155
Rabab ZaidiDepartment of Biology, Loyola University, Chicago, IL, 60660, USA.
Lauren HicksDepartment of Biology, Loyola University, Chicago, IL, 60660, USA.
Shyam ShahDepartment of Biology, Loyola University, Chicago, IL, 60660, USA.
Xiaoyun XingDepartment of Genetics, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Daofeng LiDepartment of Genetics, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Ting WangDepartment of Genetics, Washington University in St. Louis, St. Louis, MO, 63110, USA.
James M CheverudDepartment of Biology, Loyola University, Chicago, IL, 60660, USA.
Loyola University Chicago · USWashington University in St. Louis · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI Clay F. Semenkovich · 2013 to 2026
$27.1M
THE WASHU TARGET ENVIRONMENTAL EPIGENOMICS DATA COORDINATION CENTERU24ES026699 · NIEHS · WASHINGTON UNIVERSITY · PI WANG, TING · 2016 to 2021
$5.2M
RESEARCH EDUCATION PROGRAM ON COMPUTATIONAL AND STATISTICAL TOOL DEVELOPMENT FOR ADDICTION GENETICSR25DA027995 · NIDA · WASHINGTON UNIVERSITY · PI MADDEN, PAMELA ANN, RICE, JOHN P. · 2009 to 2019
$4.3M
DECODING THE IMPACT OF TRANSPOSABLE ELEMENTS ON GENE REGULATIONR01HG007175 · NHGRI · WASHINGTON UNIVERSITY · PI WANG, TING · 2014 to 2021
$2.7M
Connecting transposable elements and regulatory innovation using ENCODE dataU01HG009391 · NHGRI · WASHINGTON UNIVERSITY · PI COHEN, BARAK A, FESCHOTTE, CEDRIC · 2017 to 2021
$2.4M
The WashU 4DN Network Data Coordination and Integration CenterU01CA200060 · NCI · WASHINGTON UNIVERSITY · PI WANG, TING · 2015 to 2019
$1.9M
ADVANCED EPI/GENOME BROWSER WITH ENHANCED VISUALIZATION AND ANALYSIS TOOLSR01HG007354 · NHGRI · WASHINGTON UNIVERSITY · PI WANG, TING · 2013 to 2016
$1.5M
CHARTING THE EPIGENOMIC LANDSCAPE OF HUMAN TRANSPOSABLE ELEMENTSR01ES024992 · NIEHS · WASHINGTON UNIVERSITY · PI WANG, TING · 2014 to 2015
$342k
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NCI NIH HHS P30 CA091842NCI NIH HHS P30 CA91842NCI NIH HHS U01 CA200060NCRR NIH HHS # UL1TR000448NHGRI NIH HHS R01 HG007175NHGRI NIH HHS R01 HG007354NHGRI NIH HHS U01 HG009391NIDA NIH HHS R25 DA027995NIDDK NIH HHS P30 DK020579NIEHS NIH HHS R01 ES024992NIEHS NIH HHS U24 ES026699
6 · The paper itself

Abstract

backgroundWhile the genetics of obesity has been well defined, the epigenetics of obesity is poorly understood. Here, we used a genome-wide approach to identify genes with differences in both DNA methylation and expression associated with a high-fat diet in mice.

resultsWe weaned genetically identical Small (SM/J) mice onto a high-fat or low-fat diet and measured their weights weekly, tested their glucose and insulin tolerance, assessed serum biomarkers, and weighed their organs at necropsy. We measured liver gene expression with RNA-seq (using 21 total libraries, each pooled with 2 mice of the same sex and diet) and DNA methylation with MRE-seq and MeDIP-seq (using 8 total libraries, each pooled with 4 mice of the same sex and diet). There were 4356 genes with expression differences associated with diet, with 184 genes exhibiting a sex-by-diet interaction. Dietary fat dysregulated several pathways, including those involved in cytokine-cytokine receptor interaction, chemokine signaling, and oxidative phosphorylation. Over 7000 genes had differentially methylated regions associated with diet, which occurred in regulatory regions more often than expected by chance. Only 5-10% of differentially methylated regions occurred in differentially expressed genes, however this was more often than expected by chance (p = 2.2 × 10

conclusionsDiscovering the gene expression and methylation changes associated with a high-fat diet can help to identify new targets for epigenetic therapies and inform about the physiological changes in obesity. Here, we identified numerous genes with altered expression and methylation that are promising candidates for further study.

Indexed as

Diet, High-FatGene Expression RegulationGenomeAnimalsBlood GlucoseBody WeightCholesterolDNA MethylationFemaleGenetic Association StudiesGlucose Tolerance TestInsulinInsulin ResistanceLeptinMaleMiceBlood GlucoseCholesterolInsulinLeptinTriglyceridesDietEpigeneticsGene expressionMethylationMiceObesityRNA-seq

Identifiers

PMID30526554
PMCPMC6286549
OpenAlexW2903778820

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.