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. 2022 Jun 20;12(1):10318.
doi: 10.1038/s41598-022-14069-1.

Effect of dietary soybean oil inclusion on liver-related transcription factors in a pig model for metabolic diseases

Simara Larissa Fanalli  1 , Bruna Pereira Martins da Silva  1 , Julia Dezen Gomes  2 , Fernanda Nery Ciconello  2 , Vivian Vezzoni de Almeida  3 , Felipe André Oliveira Freitas  2 , Gabriel Costa Monteiro Moreira  4 , Bárbara Silva-Vignato  2 , Juliana Afonso  5 , James Reecy  6 , James Koltes  6 , Dawn Koltes  6 , Luciana Correia Almeida Regitano  5 , Júlio Cesar de Carvalho Baileiro  7 , Luciana Freitas  8 , Luiz Lehmann Coutinho  2 , Heidge Fukumasu  1 , Severino Matias de Alencar  2 , Albino Luchiari Filho  2 , Aline Silva Mello Cesar  9   10
Affiliations

Effect of dietary soybean oil inclusion on liver-related transcription factors in a pig model for metabolic diseases

Simara Larissa Fanalli et al. Sci Rep. .

Abstract

Dietary fatty acids (FA) are components of the lipids, which contribute to membrane structure, energy input, and biological functions related to cellular signaling and transcriptome regulation. However, the consumers still associate dietary FA with fat deposition and increased occurrence of metabolic diseases such as obesity and atherosclerosis. Previous studies already demonstrated that some fatty acids are linked with inflammatory response, preventing metabolic diseases. To better understand the role of dietary FA on metabolic diseases, for the first time, a study to identify key transcription factors (TF) involved in lipid metabolism and inflammatory response by transcriptome analysis from liver samples of animal models was performed. The key TF were identified by functional enrichment analysis from the list of differentially expressed genes identified in liver samples between 35 pigs fed with 1.5% or 3.0% soybean oil. The functional enrichment analysis detected TF linked to lipid homeostasis and inflammatory response, such as RXRA, EGFR, and SREBP2 precursor. These findings demonstrated that key TF related to lipid metabolism could be modulated by dietary inclusion of soybean oil. It could contribute to nutrigenomics research field that aims to elucidate dietary interventions in animal and human health, as well as to drive food technology and science.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
The network was created with MetaCore basic analysis networks (transcription factor) algorithm using DEG list (FDR < 0.1) from liver tissue of immunocastrated male pigs fed diets containing different levels of soybean oil (SOY1.5: 1.5% and SOY3.0: 3.0% soybean oil). The green lines represent the activation of other genes, whereas the red lines represent an inactivation. In the blue circles, genes down-regulated and up-regulated are highlighted with red circles. The SREBP2 precursor is highlighted with a black circle. Image created by MetaCore (Clarivate Analytics) [https://portal.genego.com/].
Figure 2
Figure 2
SCAP/SREBP transcriptional control of cholesterol and fatty acid biosynthesis pathway map. Image created by MetaCore (Clarivate Analytics) [https://portal.genego.com/]. Activation is indicated by green arrows, inhibition is indicated by red arrows, and unspecific relationship is indicated by gray arrows. The SREBP2 precursor is highlighted with a black circle. Nodes represent GeneGo Network objects (genes or gene complexes). For more information, see https://portal.genego.com/legends/MetaCoreQuickReferenceGuide.pdf.
Figure 3
Figure 3
Development role of interleukin-8 (IL-8) in angiogenesis pathway map. Image created by MetaCore (Clarivate Analytics) [https://portal.genego.com/]. Activation is indicated by green arrows, inhibition is indicated by red arrows, and unspecific relationship is indicated by gray arrows. The SREBP2 precursor is highlighted with a black circle. Nodes represent GeneGo Network objects (genes or gene complexes). For more information, see https://portal.genego.com/legends/MetaCoreQuickReferenceGuide.pdf.
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