Evidence map›Paper›PMID 31888468›Full record

ArticleBMC genomics2019

Chicken adaptive response to low energy diet: main role of the hypothalamic lipid metabolism revealed by a phenotypic and multi-tissue transcriptomic approach.

F Jehl, C Désert, C Klopp, M Brenet, A Rau, S Leroux, M Boutin, L Lagoutte, K Muret, Y Blum and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

18 authors at 10 institutions in 2 countries.

F JehlPEGASE UMR 1348, INRA, AGROCAMPUS OUEST, 35590, Saint-Gilles, France.
C DésertPEGASE UMR 1348, INRA, AGROCAMPUS OUEST, 35590, Saint-Gilles, France.
C KloppSIGENAE Plateform, INRA, 31326, Castanet-Tolosan, France.
M BrenetPEGASE UMR 1348, INRA, AGROCAMPUS OUEST, 35590, Saint-Gilles, France.
A RauGABI UMR 1313, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
S LerouxGenPhySE UMR 1388, INRA, INPT, ENVT, Université de Toulouse, 31326, Castanet-Tolosan, France.
M BoutinPEGASE UMR 1348, INRA, AGROCAMPUS OUEST, 35590, Saint-Gilles, France.
L LagouttePEGASE UMR 1348, INRA, AGROCAMPUS OUEST, 35590, Saint-Gilles, France.
K MuretPEGASE UMR 1348, INRA, AGROCAMPUS OUEST, 35590, Saint-Gilles, France.
Y BlumProgramme Cartes d'Identité des Tumeurs (CIT), Ligue Nationale Contre Le Cancer, 75013, Paris, France.
D EsquerréGENOTOUL Plateform, INRA, 31326, Castanet-Tolosan, France.
D GourichonPEAT UE, INRA, 37380, Nouzilly, France.
T BurlotNOVOGEN, Mauguérand, 22800, Le Foeil, France.
A CollinBOA UMR, INRA, Université de Tours, 37380, Nouzilly, France.
F PitelGenPhySE UMR 1388, INRA, INPT, ENVT, Université de Toulouse, 31326, Castanet-Tolosan, France.
A BenaniCentre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, CNRS, INRA, Université de Bourgogne, Dijon, France.
T ZerjalSIGENAE Plateform, INRA, 31326, Castanet-Tolosan, France. tatiana.zerjal@inra.fr.
S LagarriguePEGASE UMR 1348, INRA, AGROCAMPUS OUEST, 35590, Saint-Gilles, France. sandrine.lagarrigue@agrocampus-ouest.fr.ORCID http://orcid.org/0000-0002-4887-7245
Institut Agro Rennes-Angers · FRAgroParisTech · FRÉcole Nationale Vétérinaire de Toulouse · FRCentre National de la Recherche Scientifique · FRCentre Occitanie-Toulouse · FRDépartement mathématiques, informatique, sciences de la donnée et technologies du numérique · FRLa Ligue Contre le Cancer · FRNovogene Bioinformatics Institute · CNPhysiologie de la Reproduction et des Comportements · FRUniversité de Tours · FR

Funding

ANR ANR-13-ADAPEuropean Union 633531
6 · The paper itself

Abstract

backgroundProduction conditions of layer chicken can vary in terms of temperature or diet energy content compared to the controlled environment where pure-bred selection is undertaken. The aim of this study was to better understand the long-term effects of a 15%-energy depleted diet on egg-production, energy homeostasis and metabolism via a multi-tissue transcriptomic analysis. Study was designed to compare effects of the nutritional intervention in two layer chicken lines divergently selected for residual feed intake.

resultsChicken adapted to the diet in terms of production by significantly increasing their feed intake and decreasing their body weight and body fat composition, while their egg production was unchanged. No significant interaction was observed between diet and line for the production traits. The low energy diet had no effect on adipose tissue and liver transcriptomes. By contrast, the nutritional challenge affected the blood transcriptome and, more severely, the hypothalamus transcriptome which displayed 2700 differentially expressed genes. In this tissue, the low-energy diet lead to an over-expression of genes related to endocannabinoid signaling (CN1R, NAPE-PLD) and to the complement system, a part of the immune system, both known to regulate feed intake. Both mechanisms are associated to genes related polyunsaturated fatty acids synthesis (FADS1, ELOVL5 and FADS2), like the arachidonic acid, a precursor of anandamide, a key endocannabinoid, and of prostaglandins, that mediate the regulatory effects of the complement system. A possible regulatory role of NR1H3 (alias LXRα) has been associated to these transcriptional changes. The low-energy diet further affected brain plasticity-related genes involved in the cholesterol synthesis and in the synaptic activity, revealing a link between nutrition and brain plasticity. It upregulated genes related to protein synthesis, mitochondrial oxidative phosphorylation and fatty acid oxidation in the hypothalamus, suggesting reorganization in nutrient utilization and biological synthesis in this brain area.

conclusionsWe observed a complex transcriptome modulation in the hypothalamus of chicken in response to low-energy diet suggesting numerous changes in synaptic plasticity, endocannabinoid regulation, neurotransmission, lipid metabolism, mitochondrial activity and protein synthesis. This global transcriptomic reprogramming could explain the adaptive behavioral response (i.e. increase of feed intake) of the animals to the low-energy content of the diet.

Indexed as

Caloric RestrictionDietEnergy MetabolismAdaptation, PhysiologicalAnimalsBody CompositionChickensGene Expression RegulationHypothalamusLipid MetabolismModels, BiologicalQuantitative Trait, HeritableTranscriptomeAdaptationChickenFeed intakeHypothalamusLipidTranscriptome

Identifiers

PMID31888468
PMCPMC6937963
OpenAlexW2997925248

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.