Evidence map›Paper›PMID 24191950›Full record

ArticleBMC genomics2013

Metabolite and transcriptome analysis during fasting suggest a role for the p53-Ddit4 axis in major metabolic tissues.

Michael Schupp, Fang Chen, Erika R Briggs, Shilpa Rao, Helmut J Pelzmann, Ariane R Pessentheiner, Juliane G Bogner-Strauss, Mitchell A Lazar, Don Baldwin, Andreas Prokesch

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 96 citations in OpenAlex.

  1. A systematic review of p53 regulation of oxidative stress in skeletal muscle.Redox report : communications in free radical research · 2018
    Pooled it
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  18. Nutritional Sensor REDD1 in Cancer and Inflammation: Friend or Foe?International journal of molecular sciences · 2022
    Review
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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

10 authors at 4 institutions in 3 countries.

Michael SchuppInstitute for Genomics and Bioinformatics, Graz University of Technology, Petersgasse 14, Graz 8010, Austria. pathonomics@gmail.com.
Fang Chen
Erika R Briggs
Shilpa Rao
Helmut J Pelzmann
Ariane R Pessentheiner
Juliane G Bogner-Strauss
Mitchell A Lazar
Don Baldwin
Andreas Prokesch
Graz University of Technology · ATUniversity of Pennsylvania · USCharité - Universitätsmedizin Berlin · DEPreClinOmics (United States) · US

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert H. Vonderheide · 1985 to 2026
$222.3M
ZINC FINGER PROTEINS IN EARLY KIDNEY DEVELOPMENTP01DK049210 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI KAESTNER, KLAUS H · 1995 to 2016
$26.9M
Nuclear Receptors in Metabolic TissuesR01DK049780 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI LAZAR, MITCHELL A. · 1995 to 2025
$10.8M
Austrian Science Fund FWF P 24143Austrian Science Fund FWF W 1226NCI NIH HHS 5P30CA016520NIDDK NIH HHS P01DK49210NIDDK NIH HHS R01DK49780
6 · The paper itself

Abstract

backgroundFasting induces specific molecular and metabolic adaptions in most organisms. In biomedical research fasting is used in metabolic studies to synchronize nutritional states of study subjects. Because there is a lack of standardization for this procedure, we need a deeper understanding of the dynamics and the molecular mechanisms in fasting.

resultsWe investigated the dynamic changes of liver gene expression and serum parameters of mice at several time points during a 48 hour fasting experiment and then focused on the global gene expression changes in epididymal white adipose tissue (WAT) as well as on pathways common to WAT, liver, and skeletal muscle. This approach produced several intriguing insights: (i) rather than a sequential activation of biochemical pathways in fasted liver, as current knowledge dictates, our data indicates a concerted parallel response; (ii) this first characterization of the transcriptome signature of WAT of fasted mice reveals a remarkable activation of components of the transcription apparatus; (iii) most importantly, our bioinformatic analyses indicate p53 as central node in the regulation of fasting in major metabolic tissues; and (iv) forced expression of Ddit4, a fasting-regulated p53 target gene, is sufficient to augment lipolysis in cultured adipocytes.

conclusionsIn summary, this combination of focused and global profiling approaches provides a comprehensive molecular characterization of the processes operating during fasting in mice and suggests a role for p53, and its downstream target Ddit4, as novel components in the transcriptional response to food deprivation.

Indexed as

TranscriptomeAdipose Tissue, WhiteAnimalsCell LineFood DeprivationGene Expression ProfilingGluconeogenesisLipogenesisLipolysisLiverMaleMice, Inbred C3HMice, Inbred C57BLMolecular Sequence AnnotationMuscle, SkeletalOligonucleotide Array Sequence AnalysisDdit4 protein, mouseTranscription FactorsTumor Suppressor Protein p53

Identifiers

PMID24191950
PMCPMC3907060
OpenAlexW2166492500

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.