Evidence map›Paper›PMID 36855067›Full record

ArticleBMC genomics2023

Brain fatty acid and transcriptome profiles of pig fed diets with different levels of soybean oil.

Bruna Pereira da Silva, Simara Larissa Fanalli, Julia Dezen Gomes, Vivian Vezzoni de Almeida, Heidge Fukumasu, Felipe André Oliveira Freitas, Gabriel Costa Monteiro Moreira, Bárbara Silva-Vignato, James Mark Reecy, James Eugene Koltes and 10 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

20 authors at 5 institutions in 3 countries.

Bruna Pereira da SilvaFaculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil.
Simara Larissa FanalliFaculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil.
Julia Dezen GomesLuiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.
Vivian Vezzoni de AlmeidaCollege of Veterinary Medicine and Animal Science, Federal University of Goiás, Goiânia, Goiás, Brazil.
Heidge FukumasuFaculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil.
Felipe André Oliveira FreitasLuiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.
Gabriel Costa Monteiro MoreiraUnit of Animal Genomics, University of Liège, GIGA Medical Genomics, Liège, Belgium.
Bárbara Silva-VignatoLuiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.
James Mark ReecyCollege of Agriculture and Life Sciences, Iowa State University, Ames, IA, USA.
James Eugene KoltesCollege of Agriculture and Life Sciences, Iowa State University, Ames, IA, USA.
Dawn KoltesCollege of Agriculture and Life Sciences, Iowa State University, Ames, IA, USA.
Júlio Cesar de Carvalho BalieiroSchool of Veterinary Medicine and Animal Science, University of São Paulo, Pirassununga, São Paulo, Brazil.
Severino Matias de AlencarLuiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.
Julia Pereira Martins da SilvaLuiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.
Luiz Lehmann CoutinhoLuiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.
Juliana AfonsoEmbrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil.
Luciana Correia de Almeida RegitanoEmbrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil.
Gerson Barreto MourãoLuiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.
Albino Luchiari FilhoLuiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.
Aline Silva Mello CesarFaculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil. alinecesar@usp.br.
Universidade de São Paulo · BRIowa State University · USBrazilian Agricultural Research Corporation · BRUniversidade Federal de Goiás · BRUniversity of Liège · BE

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2017/25180-2Fundação de Amparo à Pesquisa do Estado de São Paulo 2018/26797-6Fundação de Amparo à Pesquisa do Estado de São Paulo 2018/26816-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2020/10042-6Fundação de Amparo à Pesquisa do Estado de São Paulo 2021/01694-2
6 · The paper itself

Abstract

backgroundThe high similarity in anatomical and neurophysiological processes between pigs and humans make pigs an excellent model for metabolic diseases and neurological disorders. Lipids are essential for brain structure and function, and the polyunsaturated fatty acids (PUFA) have anti-inflammatory and positive effects against cognitive dysfunction in neurodegenerative diseases. Nutrigenomics studies involving pigs and fatty acids (FA) may help us in better understanding important biological processes. In this study, the main goal was to evaluate the effect of different levels of dietary soybean oil on the lipid profile and transcriptome in pigs' brain tissue.

resultsThirty-six male Large White pigs were used in a 98-day study using two experimental diets corn-soybean meal diet containing 1.5% soybean oil (SOY1.5) and corn-soybean meal diet containing 3.0% soybean oil (SOY3.0). No differences were found for the brain total lipid content and FA profile between the different levels of soybean oil. For differential expression analysis, using the DESeq2 statistical package, a total of 34 differentially expressed genes (DEG, FDR-corrected p-value < 0.05) were identified. Of these 34 DEG, 25 are known-genes, of which 11 were up-regulated (log2 fold change ranging from + 0.25 to + 2.93) and 14 were down-regulated (log2 fold change ranging from - 3.43 to -0.36) for the SOY1.5 group compared to SOY3.0. For the functional enrichment analysis performed using MetaCore with the 34 DEG, four pathway maps were identified (p-value < 0.05), related to the ALOX15B (log2 fold change - 1.489), CALB1 (log2 fold change - 3.431) and CAST (log2 fold change + 0.421) genes. A "calcium transport" network (p-value = 2.303e-2), related to the CAST and CALB1 genes, was also identified.

conclusionThe results found in this study contribute to understanding the pathways and networks associated with processes involved in intracellular calcium, lipid metabolism, and oxidative processes in the brain tissue. Moreover, these results may help a better comprehension of the modulating effects of soybean oil and its FA composition on processes and diseases affecting the brain tissue.

Indexed as

Soybean OilTranscriptomeAnimalsBrainCalciumDietFatty AcidsMaleSwineCalciumFatty AcidsSoybean OilCalcium transportImmune responseLipid metabolismOxidative processesPigsSoybean oil

Identifiers

PMID36855067
PMCPMC9976441
OpenAlexW4322619080

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.