Evidence map›Paper›PMID 37761862›Full record

ArticleGenes2023

Transcriptomic Profiling of Subcutaneous Backfat in Castrated and Intact Alentejano Pigs Finished Outdoors with Commercial and Fiber-Rich Diets.

Nicolás Garrido, André Albuquerque, Rui Charneca, Filipa Costa, Carla Marmelo, Amélia Ramos, Luísa Martin, José Manuel Martins

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

8 authors at 2 institutions in 1 country.

Nicolás GarridoECO-PIG Consortium, Z.I. Catraia, Ap. 50, 3441-131 Santa Comba Dão, Portugal.ORCID 0000-0002-0401-478X
André AlbuquerqueECO-PIG Consortium, Z.I. Catraia, Ap. 50, 3441-131 Santa Comba Dão, Portugal.ORCID 0000-0002-1189-9803
Rui CharnecaECO-PIG Consortium, Z.I. Catraia, Ap. 50, 3441-131 Santa Comba Dão, Portugal.ORCID 0000-0002-3597-6746
Filipa CostaECO-PIG Consortium, Z.I. Catraia, Ap. 50, 3441-131 Santa Comba Dão, Portugal.
Carla MarmeloECO-PIG Consortium, Z.I. Catraia, Ap. 50, 3441-131 Santa Comba Dão, Portugal.
Amélia RamosECO-PIG Consortium, Z.I. Catraia, Ap. 50, 3441-131 Santa Comba Dão, Portugal.ORCID 0000-0002-9480-782X
Luísa MartinECO-PIG Consortium, Z.I. Catraia, Ap. 50, 3441-131 Santa Comba Dão, Portugal.ORCID 0000-0002-6379-7526
José Manuel MartinsECO-PIG Consortium, Z.I. Catraia, Ap. 50, 3441-131 Santa Comba Dão, Portugal.ORCID 0000-0003-3616-8406
University of Évora · PTEscola Superior de Tecnologia da Saúde de Coimbra · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we studied the backfat transcriptome of surgically castrated (C), intact (I) and intact fed an experimental diet (IE) outdoor-reared male Alentejano (AL) pigs. The experimental diet was a high-fiber diet with locally produced legumes and by-products associated with a boar taint reduction effect. At slaughter (~160 kg), backfat samples were collected for total RNA sequencing. Intact pigs presented leaner carcasses, more total collagen, and more unsaturated intramuscular fat content than C animals. A total of 2726 differentially expressed genes (DEGs, |log

Indexed as

Dietary FiberSubcutaneous FatTranscriptomeAnimal FeedAnimalsDietGene Expression ProfilingLipid MetabolismMaleOrchiectomySwineDietary Fiberboar taintcastrationfat transcriptomefiber dietheavy pigs

Identifiers

PMID37761862
PMCPMC10531178
OpenAlexW4386254939

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.