Glucocorticoid-induced cataract (GIC)-associated biomarkers were screened by ceRNA network construction. The GIC samples’ GSE3040 were obtained from the NCBI-GEO database. R’s Limma package was used to identify differentially expressed RNAs (DERs) between the normal and GIC samples group (4- and 16-h). The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analysis for the mRNAs in the constructed GIC lncRNA–miRNA–mRNA ceRNA regulation network was implemented. A total of 1665 and 1443 DERs were obtained in the 4- and 16-h group, respectively. At two time points, 256 overlapping DERs were identified, of which 210 (17 lncRNAs and 203 mRNAs) had significant differential expression (4 down- and 206 up-regulated). A total of 534 co-expressed ligation pairs (all up-regulated) were obtained. A ceRNA regulation network was constructed. RPS6KA5, GAB1, CCR7, CCL2, COL4A4, and PPARG were obtained and significantly enriched in the 4 KEGG signaling pathways and were featured as GIC target molecules.

通过 ceRNA 网络构建筛选糖皮质激素诱导的白内障 (GIC) 相关的生物标志物。GIC 样品的 GSE3040 来自 NCBI-GEO 数据库。R 的 Limma 包用于识别正常和 GIC 样品组（4 小时和 16 小时）之间的差异表达 RNA (DER)。对构建的 GIC lncRNA-miRNA-mRNA ceRNA 调控网络中的 mRNA 进行京都基因和基因组百科全书 (KEGG) 通路富集分析。在 4 小时和 16 小时组中分别获得了 1665 和 1443 个 DER。在两个时间点，确定了 256 个重叠的 DER，其中 210 个（17 个 lncRNA 和 203 个 mRNA）具有显着的差异表达（4 个下调和 206 个上调）。共获得 534 个共表达的连接对（均上调）。构建了一个ceRNA调控网络。