Department of Ophthalmology, Air Force Aviation Medicine Research Institute Affiliated Hospital, Beijing 100089, P.R. China.
Department of Ophthalmology, Air Force General Hospital, Beijing 100089, P.R. China.
Mol Med Rep. 2017 Oct;16(4):3737-3744. doi: 10.3892/mmr.2017.7059. Epub 2017 Jul 21.
The purpose of the present study was to investigate the molecular mechanisms of myotonic dystrophy (DM) 1 and 2 cataracts using bioinformatics methods. A microarray dataset (E‑MEXP‑3365) downloaded from the Array Express database included lens epithelial samples of DM1 and DM2 cataract patients (n=3/group) and non‑DM lens epithelial samples as a control (n=4). Differentially expressed genes (DEGs) were identified between DM1 and control samples, and between DM2 and control samples. Pathway enrichment analyses were performed for the DEGs. Potential micro (mi)RNAs regulating these DEGs were predicted. An miRNA‑target gene network was constructed for DM1 and DM2. The study identified 223 DEGs in DM1, and 303 DEGs in DM2. DM1 and DM2 shared 172 DEGs. The DEGs in DM1 were enriched with calcium, Wnt and axon guidance signaling pathways. The DEGs in DM2 were linked by adherens junction signaling pathways. miRNA (miR)‑197, miR‑29b and miR‑29c were included in the network modules of DM1. miR‑197, miR‑29c and miR‑29a were involved in the network modules of DM2. It is therefore hypothesized that these signaling pathways and miRNAs underlie DM1 and DM2 cataracts, and may represent potential therapeutic targets for the treatment of this disorder.
本研究旨在利用生物信息学方法探讨肌强直性营养不良(DM)1 型和 2 型白内障的分子机制。从 ArrayExpress 数据库下载的微阵列数据集(E-MEXP-3365)包含 DM1 和 DM2 白内障患者的晶状体上皮样本(n=3/组)和非 DM 晶状体上皮样本作为对照(n=4)。在 DM1 与对照组样本之间以及 DM2 与对照组样本之间鉴定出差异表达基因(DEGs)。对 DEGs 进行了通路富集分析。预测了潜在调控这些 DEGs 的微小 RNA(miRNA)。为 DM1 和 DM2 构建了 miRNA-靶基因网络。研究在 DM1 中鉴定出 223 个 DEG,在 DM2 中鉴定出 303 个 DEG。DM1 和 DM2 共有 172 个 DEG。DM1 的 DEGs 富集于钙、Wnt 和轴突导向信号通路。DM2 的 DEGs 通过黏着连接信号通路连接。miR-197、miR-29b 和 miR-29c 被包含在 DM1 的网络模块中。miR-197、miR-29c 和 miR-29a 参与了 DM2 的网络模块。因此,假设这些信号通路和 miRNA 是 DM1 和 DM2 白内障的基础,可能代表治疗该疾病的潜在治疗靶点。