Liu Song, Cai Xiaojun, Wang Tao, Xu Jiwen, Cheng Weilun, Wang Xuling, Wei Gangjie, Yan Shuang
Endocrinology Department, Traditional Chinese Medicine Academy of Heilongjiang, Harbin, Heilongjiang Province, People's Republic of China.
Anatomy, Histology and Embryology Teaching and Research Section, School of Basic Medicine, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang Province, People's Republic of China.
Int J Gen Med. 2022 Feb 25;15:2137-2147. doi: 10.2147/IJGM.S343727. eCollection 2022.
Skeletal muscle insulin resistance (IR) is an important etiology of type 2 diabetes mellitus (T2DM); however, its molecular mechanism is yet to be fully defined. This study attempted to identify the gene expression patterns and molecular disorders in T2DM patients' skeletal muscle samples.
First, the difference in genetic expression among GSE25462 data was analyzed. Next, PPI network analysis of differential genes was carried out, after which the maladjustment module was identified. Then, an enrichment analysis and gene set enrichment analysis (GSEA) were carried out. Finally, the transcription factors that regulate the modular genes by raid were predicted.
Most differentially expressed genes were found to be able to form an interaction network and cluster into 9 modules. These modular genes were shown to possess a significant correlation with immune inflammation and metabolic response. Importantly, the top 15 genes of area under receiver operating characteristic curve (AUC) were identified, and the expression of 10 genes by GSE12643, GSE18732 and GSE29221 was confirmed. The expression and AUC value of ALDH6A1 were then verified according to three sets of data, where ALDH6A1 was found to be negatively correlated with follicular helper T cells. However, among the predicted transcription regulators, HDAC was shown to have a better regulatory effect.
The findings highlight that the dysregulation of ALDH6A1 expression in IR of T2DM may serve as a potential therapeutic target. ALDH6A1 is involved in the immune inflammation and metabolic pathways.
骨骼肌胰岛素抵抗(IR)是2型糖尿病(T2DM)的重要病因;然而,其分子机制尚未完全明确。本研究试图确定T2DM患者骨骼肌样本中的基因表达模式和分子紊乱情况。
首先,分析GSE25462数据中基因表达的差异。接下来,对差异基因进行蛋白质-蛋白质相互作用(PPI)网络分析,之后确定失调模块。然后,进行富集分析和基因集富集分析(GSEA)。最后,通过raid预测调控模块基因的转录因子。
发现大多数差异表达基因能够形成一个相互作用网络并聚类为9个模块。这些模块基因显示与免疫炎症和代谢反应显著相关。重要的是,确定了受试者工作特征曲线(AUC)下面积的前15个基因,并通过GSE12643、GSE18732和GSE29221证实了10个基因的表达。然后根据三组数据验证了醛脱氢酶6A1(ALDH6A1)的表达和AUC值,发现ALDH6A1与滤泡辅助性T细胞呈负相关。然而,在预测的转录调节因子中,组蛋白去乙酰化酶(HDAC)显示出更好的调节作用。
研究结果突出表明,T2DM胰岛素抵抗中ALDH6A1表达失调可能作为一个潜在的治疗靶点。ALDH6A1参与免疫炎症和代谢途径。