Li Lu, Pan Zongfu, Yang Si, Shan Wenya, Yang Yanyan
Department of Pharmacy, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China,
Department of Pharmacy, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, People's Republic of China.
Diabetes Metab Syndr Obes. 2018 Sep 28;11:553-563. doi: 10.2147/DMSO.S178894. eCollection 2018.
The number of people with type 2 diabetes (T2D) is growing rapidly worldwide. Islet β-cell dysfunction and failure are the main causes of T2D pathological processes. The aim of this study was to elucidate the underlying pathways and coexpression networks in T2D islets.
We analyzed the differentially expressed genes (DEGs) in the data set GSE41762, which contained 57 nondiabetic and 20 diabetic samples, and developed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Protein-protein interaction (PPI) network, the modules from the PPI network, and the gene annotation enrichment of modules were analyzed as well. Moreover, a weighted correlation network analysis (WGCNA) was applied to screen critical gene modules and coexpression networks and explore the biological significance.
We filtered 957 DEGs in T2D islets. Then GO and KEGG analyses identified that key pathways like inflammatory response, type B pancreatic cell differentiation, and calcium ion-dependent exocytosis were involved in human T2D. Three significant modules were filtered from the PPI network. Ribosome biogenesis, extrinsic apoptotic signaling pathway, and membrane depolarization during action potential were associated with the modules, respectively. Furthermore, coexpression network analysis by WGCNA identified 13 distinct gene modules of T2D islets and revealed four modules, which were strongly correlated with T2D and T2D biomarker hemoglobin A1c (HbA1c). Functional annotation showed that these modules mainly enriched KEGG pathways such as NF-kappa B signaling pathway, tumor necrosis factor signaling pathway, cyclic adenosine monophosphate signaling pathway, and peroxisome proliferators-activated receptor signaling pathway.
The results provide potential gene pathways and underlying molecular mechanisms for the prevention, diagnosis, and treatment of T2D.
全球2型糖尿病(T2D)患者数量正在迅速增长。胰岛β细胞功能障碍和衰竭是T2D病理过程的主要原因。本研究旨在阐明T2D胰岛中的潜在途径和共表达网络。
我们分析了数据集GSE41762中的差异表达基因(DEG),该数据集包含57个非糖尿病样本和20个糖尿病样本,并进行了基因本体论(GO)和京都基因与基因组百科全书(KEGG)通路富集分析。还分析了蛋白质-蛋白质相互作用(PPI)网络、PPI网络中的模块以及模块的基因注释富集情况。此外,应用加权相关网络分析(WGCNA)来筛选关键基因模块和共表达网络,并探索其生物学意义。
我们在T2D胰岛中筛选出957个DEG。然后,GO和KEGG分析确定,炎症反应、B型胰腺细胞分化和钙离子依赖性胞吐作用等关键途径参与了人类T2D。从PPI网络中筛选出三个重要模块。核糖体生物发生、外在凋亡信号通路和动作电位期间的膜去极化分别与这些模块相关。此外,通过WGCNA进行的共表达网络分析确定了T2D胰岛中的13个不同基因模块,并揭示了四个与T2D和T2D生物标志物糖化血红蛋白(HbA1c)密切相关的模块。功能注释表明,这些模块主要富集了KEGG通路,如核因子κB信号通路、肿瘤坏死因子信号通路、环磷酸腺苷信号通路和过氧化物酶体增殖物激活受体信号通路。
这些结果为T2D的预防、诊断和治疗提供了潜在的基因途径和潜在的分子机制。