Key co-expressed genes correlated with blood serum parameters of pigs fed with different fatty acid profile diets

Front Genet. 2024 Jul 3:15:1394971. doi: 10.3389/fgene.2024.1394971. eCollection 2024.

Abstract

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 CCL5, PNISR, DEGS1. These findings are important for understanding the genetic and metabolic responses to dietary variation and contribute to the development of more precise nutritional strategies.

Keywords: RNA-seq; WGCNA; co-expression; immune response; lipid metabolism; soybean oil; systems biology; transcriptome.

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Sao Paulo State Research Foundation (FAPESP, grant numbers: 2017/25180-2, 2018/15653-3, 2020/14148-3, 2021/06553-8, and 2022/10643-5), and Brazilian National Council for Scientific and Technological Development (CNPq, grant number: 301083/2018-5), which provided a researcher fellowship to AC. AA acknowledges Foundation for Science and Technology (FCT grant: 2021.02058.CEEDIND). This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES)—Finance Code 001.