Evidence map›Paper›PMID 26578410›Full record

ArticleBMC genomics2015

Time course of the response to ACTH in pig: biological and transcriptomic study.

Valérie Sautron, Elena Terenina, Laure Gress, Yannick Lippi, Yvon Billon, Catherine Larzul, Laurence Liaubet, Nathalie Villa-Vialaneix, Pierre Mormède

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 30 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

9 authors at 5 institutions in 1 country.

Valérie SautronINRA, UMR 1388 Génétique, Physiologie et Systèmes d'Elevage, Castanet-Tolosan, F-31326, France. valerie.sautron@toulouse.inra.fr.
Elena TereninaINRA, UMR 1388 Génétique, Physiologie et Systèmes d'Elevage, Castanet-Tolosan, F-31326, France. elena.terenina@toulouse.inra.fr.
Laure GressINRA, UMR 1388 Génétique, Physiologie et Systèmes d'Elevage, Castanet-Tolosan, F-31326, France. laure.gress@toulouse.inra.fr.
Yannick LippiINRA, UMR 1331 ToxAlim, Toulouse, F-31027, France. yannick.lippi@toulouse.inra.fr.
Yvon BillonINRA, UE 1372 GenESI, Surgeres, F-17700, France. yvon.billon@magneraud.inra.fr.
Catherine LarzulINRA, UMR 1388 Génétique, Physiologie et Systèmes d'Elevage, Castanet-Tolosan, F-31326, France. catherine.larzul@toulouse.inra.fr.
Laurence LiaubetINRA, UMR 1388 Génétique, Physiologie et Systèmes d'Elevage, Castanet-Tolosan, F-31326, France. laurence.liaubet@toulouse.inra.fr.
Nathalie Villa-VialaneixINRA, UR 0875 MIAT Mathématiques et Informatique Appliquées de Toulouse, Castanet-Tolosan, F-31326, France. nathalie.villa@toulouse.inra.fr.
Pierre MormèdeINRA, UMR 1388 Génétique, Physiologie et Systèmes d'Elevage, Castanet-Tolosan, F-31326, France. pierre.mormede@toulouse.inra.fr.
Génétique Physiologie et Systèmes d'Elevage · FRDépartement Mathématiques et Informatique Appliquées · FRInstitut National Polytechnique de Toulouse · FRToxalim Research Centre in Food Toxicology · FRUniversité Fédérale de Toulouse Midi-Pyrénées · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHPA axis plays a major role in physiological homeostasis. It is also involved in stress and adaptive response to the environment. In farm animals in general and specifically in pigs, breeding strategies have highly favored production traits such as lean growth rate, feed efficiency and prolificacy at the cost of robustness. On the hypothesis that the HPA axis could contribute to the trade-off between robustness and production traits, we have designed this experiment to explore individual variation in the biological response to the main stress hormone, cortisol, in pigs. We used ACTH injections to trigger production of cortisol in 120 juvenile Large White (LW) pigs from 28 litters and the kinetics of the response was measured with biological variables and whole blood gene expression at 4 time points. A multilevel statistical analysis was used to take into account the longitudinal aspect of the data.

resultsCortisol level reached its peak 1 h after ACTH injection. White blood cell composition was modified with a decrease of lymphocytes and monocytes and an increase of granulocytes (F D R<0.05). Basal level of cortisol was correlated with birth and weaning weights. Microarray analysis identified 65 unique genes of which expression responded to the injection of ACTH (adjusted P<0.05). These genes were classified into 4 clusters with distinctive kinetics in response to ACTH injection. The first cluster identified genes strongly correlated to cortisol and previously reported as being regulated by glucocorticoids. In particular, DDIT4, DUSP1, FKBP5, IL7R, NFKBIA, PER1, RGS2 and RHOB were shown to be connected to each other by the glucocorticoid receptor NR3C1. Most of the differentially expressed genes that encode transcription factors have not been described yet as being important in transcription networks involved in stress response. Their co-expression may mean co-regulation and they could thus provide new patterns of biomarkers of the individual sensitivity to cortisol.

conclusionsWe identified 65 genes as biological markers of HPA axis activation at the gene expression level. These genes might be candidates for a better understanding of the molecular mechanisms of the stress response.

Indexed as

SwineAdrenocorticotropic HormoneAnimalsFemaleHydrocortisoneKineticsMaleStress, PhysiologicalTranscriptomeAdrenocorticotropic HormoneHydrocortisone

Identifiers

PMID26578410
PMCPMC4650497
OpenAlexW2179811767

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.