Zheng Yan, Liu Liwei, Ye Jifeng
Department of Anus and Intestine Surgery, Weifang People's Hospital, Weifang, Shandong 261000, P.R. China.
Department of Health Management, The Affiliated Central Hospital of Qingdao University, Qingdao, Shandong 266000, P.R. China.
Exp Ther Med. 2018 Apr;15(4):3211-3214. doi: 10.3892/etm.2018.5803. Epub 2018 Jan 29.
Type 1 diabetes is a prevalent autoimmune disease of which the underlying mechanisms remain to be elucidated. The aim of the study was to identify dysregulated modules of type 1 diabetes. After microarray data were preprocessed, 20,545 genes were obtained. By integrating gene expression data and protein-protein interactions (PPI) data, 48,778 new networks were obtained, including 7,953 genes. After simplifying networks, we obtained 24 target networks. By ranking networks with P-values, two modules with P<0.05 were identified, including the genes, and . Module 2 was part of module 1. The identified modules and genes may provide new insights into the underlying biological mechanisms that drive the progression of type 1 diabetes.
1型糖尿病是一种常见的自身免疫性疾病，其潜在机制仍有待阐明。本研究的目的是识别1型糖尿病中失调的模块。对微阵列数据进行预处理后，获得了20545个基因。通过整合基因表达数据和蛋白质-蛋白质相互作用（PPI）数据，获得了48778个新网络，包括7953个基因。在简化网络后，我们获得了24个目标网络。通过用P值对网络进行排序，鉴定出两个P<0.05的模块，包括基因 和 。模块2是模块1的一部分。所鉴定的模块和基因可能为驱动1型糖尿病进展的潜在生物学机制提供新的见解。
