Evidence map›Paper›PMID 28282965›Full record

ArticleScientific reports2017

Hyper- and hypo- nutrition studies of the hepatic transcriptome and epigenome suggest that PPARα regulates anaerobic glycolysis.

Anthony R Soltis, Shmulik Motola, Santiago Vernia, Christopher W Ng, Norman J Kennedy, Simona Dalin, Bryan J Matthews, Roger J Davis, Ernest Fraenkel

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Ypel5 regulates liver development and function in zebrafish.Journal of molecular cell biology · 2023
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  5. Review
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  9. NEAT1 is overexpressed in Parkinson's disease substantia nigra and confers drug-inducible neuroprotection from oxidative stress.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
    Article
  10. Article
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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

9 authors at 2 institutions in 1 country.

Anthony R SoltisDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID 0000-0002-3394-1275
Shmulik MotolaDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Santiago VerniaHoward Hughes Medical Institute and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA, 01605, USA.
Christopher W NgDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Norman J KennedyHoward Hughes Medical Institute and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA, 01605, USA.
Simona DalinDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID 0000-0001-5024-9718
Bryan J MatthewsDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Roger J DavisHoward Hughes Medical Institute and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA, 01605, USA.
Ernest FraenkelDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. fraenkel-admin@mit.edu.
Massachusetts Institute of Technology · USHoward Hughes Medical Institute · US

Funding

TOXICOLOGY CORE UNITP30ES002109 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI YAFFE, MICHAEL B · 1985 to 2020
$25.6M
Systems Biology of Insulin ResistanceR24DK090963 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DAVIS, ROGER J. · 2011 to 2014
$8.4M
Metabolic Stress SignalingR01DK107220 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DAVIS, ROGER J. · 2016 to 2023
$3.6M
A Systems Biology Approach to Reveal Huntington's Disease MechanismsR01GM089903 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FRAENKEL, ERNEST · 2010 to 2014
$2.4M
NIDDK NIH HHS R01 DK107220NIDDK NIH HHS R24 DK090963NIEHS NIH HHS P30 ES002109NIGMS NIH HHS R01 GM089903
6 · The paper itself

Abstract

Diet plays a crucial role in shaping human health and disease. Diets promoting obesity and insulin resistance can lead to severe metabolic diseases, while calorie-restricted (CR) diets can improve health and extend lifespan. In this work, we fed mice either a chow diet (CD), a 16 week high-fat diet (HFD), or a CR diet to compare and contrast the effects of these diets on mouse liver biology. We collected transcriptomic and epigenomic datasets from these mice using RNA-Seq and DNase-Seq. We found that both CR and HFD induce extensive transcriptional changes, in some cases altering the same genes in the same direction. We used our epigenomic data to infer transcriptional regulatory proteins bound near these genes that likely influence their expression levels. In particular, we found evidence for critical roles played by PPARα and RXRα. We used ChIP-Seq to profile the binding locations for these factors in HFD and CR livers. We found extensive binding of PPARα near genes involved in glycolysis/gluconeogenesis and uncovered a role for this factor in regulating anaerobic glycolysis. Overall, we generated extensive transcriptional and epigenomic datasets from livers of mice fed these diets and uncovered new functions and gene targets for PPARα.

Indexed as

AnaerobiosisAnimalsCaloric RestrictionDiet, High-FatEpigenesis, GeneticEpigenomicsGene Expression ProfilingGene Expression RegulationGlycolysisLiverMaleMiceNutritional StatusPPAR alphaSequence Analysis, DNASequence Analysis, RNAPPAR alpha

Identifiers

PMID28282965
PMCPMC5428070
OpenAlexW2592538405

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.