Fanalli Simara Larissa, da Silva Bruna Pereira Martins, Gomes Julia Dezen, de Almeida Vivian Vezzoni, Freitas Felipe André Oliveira, Moreira Gabriel Costa Monteiro, Silva-Vignato Bárbara, Afonso Juliana, Reecy James, Koltes James, Koltes Dawn, de Almeida Regitano Luciana Correia, Garrick Dorian John, de Carvalho Balieiro Júlio Cesar, Meira Ariana Nascimento, Freitas Luciana, Coutinho Luiz Lehmann, Fukumasu Heidge, Mourão Gerson Barreto, de Alencar Severino Matias, Luchiari Filho Albino, Cesar Aline Silva Mello
Faculty of Animal Science and Food Engineering, University of São Paulo, Pirassununga 13635-900, SP, Brazil.
Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba 13418-900, SP, Brazil.
Animals (Basel). 2022 Jun 25;12(13):1632. doi: 10.3390/ani12131632.
The aim of this study was to identify the differentially expressed genes (DEG) from the skeletal muscle and liver samples of animal models for metabolic diseases in humans. To perform the study, the fatty acid (FA) profile and RNA sequencing (RNA-Seq) data of 35 samples of liver tissue (SOY1.5, = 17 and SOY3.0, = 18) and 36 samples of skeletal muscle (SOY1.5, = 18 and SOY3.0, = 18) of Large White pigs were analyzed. The FA profile of the tissues was modified by the diet, mainly those related to monounsaturated (MUFA) and polyunsaturated (PUFA) FA. The skeletal muscle transcriptome analysis revealed 45 DEG (FDR 10%), and the functional enrichment analysis identified network maps related to inflammation, immune processes, and pathways associated with oxidative stress, type 2 diabetes, and metabolic dysfunction. For the liver tissue, the transcriptome profile analysis revealed 281 DEG, which participate in network maps related to neurodegenerative diseases. With this nutrigenomics study, we verified that different levels of soybean oil in the pig diet, an animal model for metabolic diseases in humans, affected the transcriptome profile of skeletal muscle and liver tissue. These findings may help to better understand the biological mechanisms that can be modulated by the diet.
本研究的目的是从人类代谢疾病动物模型的骨骼肌和肝脏样本中鉴定差异表达基因(DEG)。为开展该研究,分析了35份大白猪肝脏组织样本(SOY1.5组,n = 17;SOY3.0组,n = 18)和36份骨骼肌样本(SOY1.5组,n = 18;SOY3.0组,n = 18)的脂肪酸(FA)谱和RNA测序(RNA-Seq)数据。组织的FA谱受饮食影响,主要是与单不饱和脂肪酸(MUFA)和多不饱和脂肪酸(PUFA)相关的FA。骨骼肌转录组分析揭示了45个DEG(FDR < 10%),功能富集分析确定了与炎症、免疫过程以及与氧化应激、2型糖尿病和代谢功能障碍相关的信号通路的网络图谱。对于肝脏组织,转录组谱分析揭示了281个DEG,它们参与了与神经退行性疾病相关的网络图谱。通过这项营养基因组学研究,我们证实,在人类代谢疾病动物模型猪的饮食中,不同水平的大豆油会影响骨骼肌和肝脏组织的转录组谱。这些发现可能有助于更好地理解可由饮食调节的生物学机制。