Department of Obstetrics and Gynecology, Shanxi Bethune Hospital, Shanxi Medical University, Taiyuan, Shanxi.
Department of Obstetrics and Gynecology, The 2nd Affiliated Hospital of Wenzhou Medical University, Zhejiang, P. R. China.
Medicine (Baltimore). 2021 Jul 2;100(26):e26497. doi: 10.1097/MD.0000000000026497.
Gestational diabetes mellitus (GDM) has a high prevalence during pregnancy. This research aims to identify genes and their pathways related to GDM by combining bioinformatics analysis.The DNA methylation and gene expression profiles data set was obtained from Gene Expression Omnibus. Differentially expressed genes (DEG) and differentially methylated genes (DMG) were screened by R package limma. The methylation-regulated differentially expressed genes (MeDEGs) were obtained by overlapping the DEGs and DMGs. A protein-protein interaction network was constructed using the search tool for searching interacting genes. The results are visualized in Cytoscape. Disease-related miRNAs and pathways were retrieved from Human MicroRNA Disease Database and Comparative Toxic Genome Database. Real-time quantitative PCR further verified the expression changes of these genes in GDM tissues and normal tissues.After overlapping DEGs and DMGs, 138 MeDEGs were identified. These genes were mainly enriched in the biological processes of the "immune response," "defense response," and "response to wounding." Pathway enrichment shows that these genes are involved in "Antigen processing and presentation," "Graft-versus-host disease," "Type I diabetes mellitus," and "Allograft rejection." Six mRNAs (including superoxide dismutase 2 (SOD2), mitogen-activated protein kinase kinase kinase kinase 3 (MAP4K3), dual specificity phosphatase 5 (DUSP5), p21-activated kinases 2 (PAK2), serine protease inhibitor clade E member 1 (SERPINE1), and protein phosphatase 1 regulatory subunit 15B (PPP1R15B)) were identified as being related to GDM. The results obtained by real-time quantitative PCR are consistent with the results of the microarray analysis.This study identified new types of MeDEGs and discovered their related pathways and functions in GDM, which may be used as molecular targets and diagnostic biomarkers for the precise diagnosis and treatment of GDM.
妊娠期糖尿病(GDM)在妊娠期间患病率较高。本研究旨在通过结合生物信息学分析,鉴定与 GDM 相关的基因及其通路。从基因表达综合数据库中获取 DNA 甲基化和基因表达谱数据集。使用 R 包 limma 筛选差异表达基因(DEG)和差异甲基化基因(DMG)。通过重叠 DEG 和 DMG 获得甲基化调控的差异表达基因(MeDEGs)。使用搜索互作基因的搜索工具构建蛋白质-蛋白质相互作用网络。结果在 Cytoscape 中可视化。从人类 microRNA 疾病数据库和比较毒理基因组数据库中检索疾病相关的 miRNA 和途径。实时定量 PCR 进一步验证了这些基因在 GDM 组织和正常组织中的表达变化。重叠 DEG 和 DMG 后,鉴定出 138 个 MeDEGs。这些基因主要富集在“免疫反应”、“防御反应”和“对创伤的反应”等生物学过程中。通路富集表明,这些基因参与“抗原加工和呈递”、“移植物抗宿主病”、“1 型糖尿病”和“同种异体移植排斥”。六个 mRNAs(包括超氧化物歧化酶 2(SOD2)、丝裂原活化蛋白激酶激酶激酶激酶 3(MAP4K3)、双特异性磷酸酶 5(DUSP5)、p21 激活激酶 2(PAK2)、丝氨酸蛋白酶抑制剂 E 族成员 1(SERPINE1)和蛋白磷酸酶 1 调节亚基 15B(PPP1R15B))被鉴定为与 GDM 相关。实时定量 PCR 的结果与微阵列分析的结果一致。本研究鉴定了新型 MeDEGs,并发现了它们在 GDM 中的相关通路和功能,这可能作为 GDM 精确诊断和治疗的分子靶点和诊断生物标志物。