The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215000, Jiangsu Province, China.
The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China.
BMC Pregnancy Childbirth. 2022 Jan 28;22(1):77. doi: 10.1186/s12884-022-04399-3.
Intrauterine growth restriction (IUGR) is defined as a fetus that fails to achieve its genetically determined growth potential. The exact molecular mechanisms of placental insufficiency IUGR pathogenesis are a little known. Our goal was to identify key genes and gene co-expression modules related to placental insufficiency IUGR.
We used weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network analysis to examine the IUGR dataset GSE114691 from NCBI Gene Expression Omnibus. Core modules and hub nodes of the protein-protein interaction network were identified. A gene network was constructed and genes were classified by WGCNA into different modules. The validation of potential key genes was carried out using additional datasets (GSE12216 and GSE24129).
We identified in GSE114691 539 down regulated genes and 751 up regulated genes in placental tissues characteristic of placental insufficiency IUGR compared with non-IUGR, and defined 76 genes as hub nodes in the protein-protein interaction network. Genes in the key modules of the WGCNA network were most closely associated with placental insufficiency IUGR and significantly enriched in biological process such as cellular metabolic process and macromolecule metabolic process. We identified as key genes TGFB1, LEP, ENG, ITGA5, STAT5A, LYN, GATA3, FPR1, TGFB2, CEBPB, KLF4, FLT1, and PNPLA2. The RNA expression levels of ENG and LEP, as biomarkers, were validated.
A holistic gene expression profile of placental insufficiency IUGR has been generated and the key genes ENG and LEP has potential to serve as circulating diagnosis biomarkers and therapeutic targets for placental insufficiency IUGR.
宫内生长受限(IUGR)是指胎儿未能达到其遗传决定的生长潜力。胎盘功能不全导致 IUGR 发病的确切分子机制尚不清楚。我们的目标是确定与胎盘功能不全 IUGR 相关的关键基因和基因共表达模块。
我们使用加权基因共表达网络分析(WGCNA)和蛋白质-蛋白质相互作用(PPI)网络分析,检查来自 NCBI 基因表达综合数据库的 IUGR 数据集 GSE114691。确定 PPI 网络的核心模块和枢纽节点。通过 WGCNA 将基因网络构建并将基因分类为不同模块。使用额外的数据集(GSE12216 和 GSE24129)对潜在关键基因进行验证。
我们在 GSE114691 中鉴定出 539 个下调基因和 751 个上调基因,与非 IUGR 相比,这些基因在胎盘组织中具有胎盘功能不全 IUGR 的特征,并在蛋白质-蛋白质相互作用网络中定义了 76 个枢纽节点。WGCNA 网络关键模块中的基因与胎盘功能不全 IUGR 最为密切相关,并且在生物学过程中显著富集,如细胞代谢过程和大分子代谢过程。我们确定关键基因 TGFB1、LEP、ENG、ITGA5、STAT5A、LYN、GATA3、FPR1、TGFB2、CEBPB、KLF4、FLT1 和 PNPLA2。作为生物标志物,ENG 和 LEP 的 RNA 表达水平得到验证。
生成了胎盘功能不全 IUGR 的整体基因表达谱,ENG 和 LEP 等关键基因有可能作为胎盘功能不全 IUGR 的循环诊断生物标志物和治疗靶点。