Evidence map›Paper›PMID 36530394›Full record

ArticlePeerJ2022

Hygiene of housing conditions and proinflammatory signals alter gene expressions in porcine adipose tissues and blood cells.

Audrey Quéméner, Marie-Hélène Perruchot, Frédéric Dessauge, Annie Vincent, Elodie Merlot, Nathalie Le Floch, Isabelle Louveau

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 3 institutions in 1 country.

Audrey QuéménerPEGASE, INRAE, Institut Agro, Saint Gilles, France.
Marie-Hélène PerruchotPEGASE, INRAE, Institut Agro, Saint Gilles, France.
Frédéric DessaugePEGASE, INRAE, Institut Agro, Saint Gilles, France.
Annie VincentPEGASE, INRAE, Institut Agro, Saint Gilles, France.
Elodie MerlotPEGASE, INRAE, Institut Agro, Saint Gilles, France.
Nathalie Le FlochPEGASE, INRAE, Institut Agro, Saint Gilles, France.
Isabelle LouveauPEGASE, INRAE, Institut Agro, Saint Gilles, France.
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRL'Institut AgroPhysiologie Environnement et Génétique pour l'Animal et les Systèmes d'Elevage · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adipose tissue is an organ with metabolic, endocrine and immune functions. In this tissue, the expressions of genes associated with several metabolic pathways, including lipid metabolism, have been shown to be affected by genetic selection for feed efficiency, an important trait to consider in livestock. We hypothesized that the stimulation of immune system caused by poor hygiene conditions of housing impacts the molecular and cellular features of adipose tissue and that the impact may differ between pigs that diverge in feed efficiency. At the age of 12 weeks, Large White pigs from two genetic lines divergent for residual feed intake (RFI) were housed in two contrasting hygiene conditions (good vs poor). After six weeks of exposure, pigs were slaughtered (

Indexed as

Housing QualityTumor Necrosis Factor-alphaAdipose TissueAnimalsBlood CellsGene ExpressionHygieneLipopolysaccharidesRNA, MessengerSwineToll-Like Receptor 4LipopolysaccharidesRNA, MessengerToll-Like Receptor 4Tumor Necrosis Factor-alphaAdipose tissueBlood cellGene expressionLPSPigResidual feed intakeSanitary conditionsTNF-α

Identifiers

PMID36530394
PMCPMC9756862
OpenAlexW4311376119

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.