Identification of differentially expressed genes related to metabolic syndrome induced with high-fat diet in E3 rats. (February 2015)

• Record Type: Journal Article
• Authors: Lan, Xi; Li, Dongmin; Zhong, Bo; Ren, Juan; Wang, Xuan; Sun, Qingzhu; Li, Yue; Liu, Lee; Liu, Li; Lu, Shemin
• Is Part Of: Experimental biology and medicine. Volume 240:Number 2(2015:Feb.)
• Page Start: 235
• Page End: 241
• Publication Date: 2015-02
• Subjects: High-fat-diet-induced metabolic syndrome -- suppression subtractive hybridization -- differentially expressed genes; Physiology -- Periodicals; Biology, Experimental -- Periodicals; Medicine, Experimental -- Periodicals; 610.72
• DOI: 10.1177/1535370214554531
• Languages: English
• ISSNs: 1535-3702

Abstract

Understanding the genes differentially expressing in aberrant organs of metabolic syndrome (MetS) facilitates the uncovering of molecular mechanisms and the identification of novel therapeutic targets for the disease. This study aimed to identify differentially expressed genes related to MetS in livers of E3 rats with high-fat-diet-induced metabolic syndrome (HFD-MetS). E3 rats were fed with high-fat diet for 24 weeks to induce MetS. Then, suppression subtractive hybridization (SSH) technology was used to identify the genes differentially expressed between HFD-MetS and control E3 rat livers. Twenty positive recombinant clones were chosen randomly from forward subtractive library and sent to sequence. BLAST analysis in GenBank database was used to determine the property of each cDNA fragment. In total, 11 annotated genes, 3 ESTs, and 2 novel gene fragments were identified by SSH technology. The expression of four genes ( Alb, Pip4k2a, Scd1, and Tf ) known to be associated with MetS and other five genes ( Eif1, Rnase4, Rps12, Rup2, and Tmsb4 ) unknown to be relevant to MetS was significantly up-regulated in the livers of HFD-MetS E3 rats compared with control rats using real-time quantitative PCR (RT-qPCR). By analyzing the correlations between the expression of these nine genes and serum concentrations of TG, Tch, HDL-C, and LDL-C, we found that there were significant positive correlations between TG and the expression of five genes ( Alb, Eif1, Pip4k2a, Rps12, and Tmsb4x ), Tch and three genes ( Rnase4, Scd1, and Tmsb4x ), and LDL-C and two genes ( Rnase4 and Scd1 ), as well there were significant negative correlations between HDL-C and the expression of three genes ( Rup2, Scd1, and Tf ). This study provides important clues for unraveling the molecular mechanisms of MetS.