Tang Xiaoli, Deng Libin, Xiong Huangui, Li Guilin, Lin Jiari, Liu Shuangmei, Xie Jinyan, Liu Jun, Kong Fanjun, Tu Guihua, Peng Haiying, Liang Shangdong
Department of Physiology, Medical School of Nanchang University, Nanchang, China.
Indian J Med Res. 2014 Dec;140(6):744-55.
BACKGROUND & OBJECTIVES: Type 2 diabetes (T2D) is characterized as hyperglycaemia caused by defects in insulin secretion, and it affects target tissues, such as skeletal muscle, liver and adipose tissue. Therefore, analyzing the changes of gene expression profiles in these tissues is important to elucidate the pathogenesis of T2D. We, therefore, measured the gene transcript alterations in liver and skeletal muscle of rat with induced T2D, to detect differentially expressed genes in liver and skeletal muscle and perform gene-annotation enrichment analysis.
In the present study, skeletal muscle and liver tissue from 10 streptozotocin-induced diabetic rats and 10 control rats were analyzed using gene expression microarrays. KEGG pathways enriched by differentially expressed genes (DEGs) were identified by WebGestalt Expander and GATHER software. DEGs were validated by the method of real-time PCR and western blot.
From the 9,929 expressed genes across the genome, 1,305 and 997 differentially expressed genes (DEGs, P<0.01) were identified in comparisons of skeletal muscle and liver, respectively. Large numbers of DEGs (200) were common in both comparisons, which was clearly more than the predicted number (131 genes, P<0.001). For further interpretation of the gene expression data, three over-representation analysis softwares (WebGestalt, Expander and GATHER) were used. All the tools detected one KEGG pathway (MAPK signaling) and two GO (gene ontology) biological processes (response to stress and cell death), with enrichment of DEGs in both tissues. In addition, PPI (protein-protein interaction) networks constructed using human homologues not only revealed the tendency of DEGs to form a highly connected module, but also suggested a "hub" role of p38-MAPK-related genes (such as MAPK14) in the pathogenesis of T2D.
INTERPRETATION & CONCLUSIONS: Our results indicated the considerably aberrant MAPK signaling in both insulin-sensitive tissues of T2D rat, and that the p38 may play a role as a common "hub" in the gene module response to hyperglycaemia. Furthermore, our research pinpoints the role of several new T2D-associated genes (such as Srebf1 and Ppargc1) in the human population.
2型糖尿病(T2D)的特征是由胰岛素分泌缺陷导致的高血糖症,它会影响靶组织,如骨骼肌、肝脏和脂肪组织。因此,分析这些组织中基因表达谱的变化对于阐明T2D的发病机制很重要。为此,我们测定了诱导性T2D大鼠肝脏和骨骼肌中的基因转录变化,以检测肝脏和骨骼肌中差异表达的基因,并进行基因注释富集分析。
在本研究中,使用基因表达微阵列分析了10只链脲佐菌素诱导的糖尿病大鼠和10只对照大鼠的骨骼肌和肝脏组织。通过WebGestalt Expander和GATHER软件鉴定差异表达基因(DEG)富集的KEGG通路。通过实时PCR和蛋白质印迹法验证DEG。
在全基因组的9929个表达基因中,在骨骼肌和肝脏的比较中分别鉴定出1305个和997个差异表达基因(DEG,P<0.01)。在两个比较中都有大量的DEG(200个)是共同的,这明显多于预测数量(131个基因,P<0.001)。为了进一步解释基因表达数据,使用了三种超表达分析软件(WebGestalt、Expander和GATHER)。所有工具都检测到一个KEGG通路(MAPK信号传导)和两个GO(基因本体)生物学过程(对应激的反应和细胞死亡),且在两个组织中DEG均有富集。此外,使用人类同源物构建的蛋白质-蛋白质相互作用(PPI)网络不仅揭示了DEG形成高度连接模块的趋势,还表明p38-MAPK相关基因(如MAPK14)在T2D发病机制中起“枢纽”作用。
我们的结果表明,T2D大鼠的两个胰岛素敏感组织中MAPK信号传导存在相当大的异常,并且p38可能在基因模块对高血糖的反应中作为共同的“枢纽”发挥作用。此外,我们的研究确定了几种新的T2D相关基因(如Srebf1和Ppargc1)在人群中的作用。