Fanalli Simara Larissa, Gomes Júlia Dezen, de Novais Francisco José, Gervásio Izally Carvalho, Fukumasu Heidge, Moreira Gabriel Costa Monteiro, Coutinho Luiz Lehmann, Koltes James, Amaral Andreia J, Cesar Aline Silva Mello
Faculty of Animal Science and Food Engineering, (FZEA), University of São Paulo, SãoPaulo, Brazil.
Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (USP), Piracicaba, Brazil.
Front Genet. 2024 Jul 3;15:1394971. doi: 10.3389/fgene.2024.1394971. eCollection 2024.
This study investigated how gene expression is affected by dietary fatty acids (FA) by using pigs as a reliable model for studying human diseases that involve lipid metabolism. This includes changes in FA composition in the liver, blood serum parameters and overall metabolic pathways. RNA-Seq data from 32 pigs were analyzed using Weighted Gene Co-expression Network Analysis (WGCNA). Our aim was to identify changes in blood serum parameters and gene expression between diets containing 3% soybean oil (SOY3.0) and a standard pig production diet containing 1.5% soybean oil (SOY1.5). Significantly, both the SOY1.5 and SOY3.0 groups showed significant modules, with a higher number of co-expressed modules identified in the SOY3.0 group. Correlated modules and specific features were identified, including enriched terms and pathways such as the histone acetyltransferase complex, type I diabetes mellitus pathway, cholesterol metabolism, and metabolic pathways in SOY1.5, and pathways related to neurodegeneration and Alzheimer's disease in SOY3.0. The variation in co-expression observed for HDL in the groups analyzed suggests different regulatory patterns in response to the higher concentration of soybean oil. Key genes co-expressed with metabolic processes indicative of diseases such as Alzheimer's was also identified, as well as genes related to lipid transport and energy metabolism, including These findings are important for understanding the genetic and metabolic responses to dietary variation and contribute to the development of more precise nutritional strategies.
本研究通过使用猪作为研究涉及脂质代谢的人类疾病的可靠模型,来探究基因表达是如何受到膳食脂肪酸(FA)影响的。这包括肝脏中FA组成的变化、血清参数以及整体代谢途径。使用加权基因共表达网络分析(WGCNA)对32头猪的RNA测序数据进行了分析。我们的目的是确定含3%大豆油的日粮(SOY3.0)与含1.5%大豆油的标准猪生产日粮(SOY1.5)之间血清参数和基因表达的变化。值得注意的是,SOY1.5组和SOY3.0组均显示出显著的模块,SOY3.0组中鉴定出的共表达模块数量更多。确定了相关模块和特定特征,包括SOY1.5中的组蛋白乙酰转移酶复合体、I型糖尿病途径、胆固醇代谢和代谢途径等富集术语和途径,以及SOY3.0中与神经退行性变和阿尔茨海默病相关的途径。在所分析的组中观察到的高密度脂蛋白(HDL)共表达变化表明,对较高浓度大豆油的反应存在不同的调节模式。还鉴定了与阿尔茨海默病等疾病相关代谢过程共表达的关键基因,以及与脂质转运和能量代谢相关的基因,包括这些发现对于理解对饮食变化的遗传和代谢反应很重要,并有助于制定更精确的营养策略。