Evidence map›Paper›PMID 26445145›Full record

ArticlePloS one2015

RNA-Seq Analysis of Abdominal Fat in Genetically Fat and Lean Chickens Highlights a Divergence in Expression of Genes Controlling Adiposity, Hemostasis, and Lipid Metabolism.

Christopher W Resnyk, Chuming Chen, Hongzhan Huang, Cathy H Wu, Jean Simon, Elisabeth Le Bihan-Duval, Michel J Duclos, Larry A Cogburn

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

35 citing papers in PubMed, 70 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 2 countries.

Christopher W ResnykDepartment of Animal and Food Sciences, University of Delaware, Newark, Delaware, United States of America.
Chuming ChenCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, Delaware, United States of America.
Hongzhan HuangCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, Delaware, United States of America.
Cathy H WuCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, Delaware, United States of America.
Jean SimonINRA UR83 Recherches Avicoles, 37380, Nouzilly, France.
Elisabeth Le Bihan-DuvalINRA UR83 Recherches Avicoles, 37380, Nouzilly, France.
Michel J DuclosINRA UR83 Recherches Avicoles, 37380, Nouzilly, France.
Larry A CogburnDepartment of Animal and Food Sciences, University of Delaware, Newark, Delaware, United States of America.
University of Delaware · USBiologie des Oiseaux et Aviculture · FR

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI Shawn W Polson · 2012 to 2026
$67.2M
NIGMS NIH HHS P20 GM103446
6 · The paper itself

Abstract

Genetic selection for enhanced growth rate in meat-type chickens (Gallus domesticus) is usually accompanied by excessive adiposity, which has negative impacts on both feed efficiency and carcass quality. Enhanced visceral fatness and several unique features of avian metabolism (i.e., fasting hyperglycemia and insulin insensitivity) mimic overt symptoms of obesity and related metabolic disorders in humans. Elucidation of the genetic and endocrine factors that contribute to excessive visceral fatness in chickens could also advance our understanding of human metabolic diseases. Here, RNA sequencing was used to examine differential gene expression in abdominal fat of genetically fat and lean chickens, which exhibit a 2.8-fold divergence in visceral fatness at 7 wk. Ingenuity Pathway Analysis revealed that many of 1687 differentially expressed genes are associated with hemostasis, endocrine function and metabolic syndrome in mammals. Among the highest expressed genes in abdominal fat, across both genotypes, were 25 differentially expressed genes associated with de novo synthesis and metabolism of lipids. Over-expression of numerous adipogenic and lipogenic genes in the FL chickens suggests that in situ lipogenesis in chickens could make a more substantial contribution to expansion of visceral fat mass than previously recognized. Distinguishing features of the abdominal fat transcriptome in lean chickens were high abundance of multiple hemostatic and vasoactive factors, transporters, and ectopic expression of several hormones/receptors, which could control local vasomotor tone and proteolytic processing of adipokines, hemostatic factors and novel endocrine factors. Over-expression of several thrombogenic genes in abdominal fat of lean chickens is quite opposite to the pro-thrombotic state found in obese humans. Clearly, divergent genetic selection for an extreme (2.5-2.8-fold) difference in visceral fatness provokes a number of novel regulatory responses that govern growth and metabolism of visceral fat in this unique avian model of juvenile-onset obesity and glucose-insulin imbalance.

Indexed as

Abdominal FatAdipokinesAdipose TissueAdiposityAnimalsChickensFastingGene ExpressionGene Expression ProfilingGenotypeHemostasisIntra-Abdominal FatLipid MetabolismLipogenesisObesityRNAAdipokinesRNA

Identifiers

PMID26445145
PMCPMC4596860
OpenAlexW2138218686

What Socratic 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 Socratic graph.