PDF(Pubmed)
Abstract：
Gestational diabetes mellitus (GDM), a transient disease, may lead to short- or long-term adverse influences on maternal and fetal health. Therefore, its potential functions, mechanisms and related molecular biomarkers must be comprehended for the control, diagnosis and treatment of GDM.
The differentially expressed genes (DEGs) were identified using GSE49524 and GSE87295 associated with GDM from the Gene Expression Omnibus database, followed by function enrichment analysis, protein-protein interactions network construction, hub DEGs mining, diagnostic value evaluation and immune infiltration analysis. Finally, hub DEGs, the strongest related to immune infiltration, were screened as immune-related biomarkers.
A hundred and seven DEGs were identified between patients with GDM and healthy individuals. Six hub genes with high diagnostic values, including ALDH1A1, BMP4, EFNB2, MME, PLAUR and SLIT2, were identified. Among these, two immune-related genes (PLAUR and SLIT2) with the highest absolute correlation coefficient were considered immune-related biomarkers in GDM.
Our study provides a comprehensive analysis of GDM, which would provide a foundation for the development of diagnosis and treatment of GDM.
The differentially expressed genes (DEGs) were identified using GSE49524 and GSE87295 associated with GDM from the Gene Expression Omnibus database, followed by function enrichment analysis, protein-protein interactions network construction, hub DEGs mining, diagnostic value evaluation and immune infiltration analysis. Finally, hub DEGs, the strongest related to immune infiltration, were screened as immune-related biomarkers.
A hundred and seven DEGs were identified between patients with GDM and healthy individuals. Six hub genes with high diagnostic values, including ALDH1A1, BMP4, EFNB2, MME, PLAUR and SLIT2, were identified. Among these, two immune-related genes (PLAUR and SLIT2) with the highest absolute correlation coefficient were considered immune-related biomarkers in GDM.
Our study provides a comprehensive analysis of GDM, which would provide a foundation for the development of diagnosis and treatment of GDM.
摘要：
■妊娠期糖尿病（GDM），一种短暂的疾病，可能会对母亲和胎儿的健康产生短期或长期的不利影响。因此,它的潜在功能，机制和相关的分子生物标志物必须理解为控制，GDM的诊断和治疗。
■使用基因表达综合数据库中与GDM相关的GSE49524和GSE87295鉴定了差异表达基因（DEG），其次是功能富集分析，蛋白质-蛋白质相互作用网络的构建，集线器DEG采矿，诊断价值评估和免疫浸润分析。最后,轮毂DEG,与免疫浸润有关的最强，被筛选为免疫相关生物标志物。
■在GDM患者和健康个体之间确定了一百零七个DEG。六个具有高诊断价值的枢纽基因，包括ALDH1A1，BMP4，EFNB2，MME，确定了PLAUR和SLIT2。其中,绝对相关系数最高的两个免疫相关基因(PLAUR和SLIT2)被认为是GDM的免疫相关生物标志物.
■我们的研究提供了对GDM的全面分析，这将为GDM的诊断和治疗提供基础。
■使用基因表达综合数据库中与GDM相关的GSE49524和GSE87295鉴定了差异表达基因（DEG），其次是功能富集分析，蛋白质-蛋白质相互作用网络的构建，集线器DEG采矿，诊断价值评估和免疫浸润分析。最后,轮毂DEG,与免疫浸润有关的最强，被筛选为免疫相关生物标志物。
■在GDM患者和健康个体之间确定了一百零七个DEG。六个具有高诊断价值的枢纽基因，包括ALDH1A1，BMP4，EFNB2，MME，确定了PLAUR和SLIT2。其中,绝对相关系数最高的两个免疫相关基因(PLAUR和SLIT2)被认为是GDM的免疫相关生物标志物.
■我们的研究提供了对GDM的全面分析，这将为GDM的诊断和治疗提供基础。
