Relationship between serum GPER1,CFH levels and pregnancy outcomes in patients with gestational diabetes

DENG Haijuan; QUAN Yongjuan; LI Fang

doi:10.11958/20241950

Abstract：Objective To investigate the relationship between serum G protein-coupled estrogen receptor 1(GPER1),complement factor H(CFH)levels and pregnancy outcomes in patients with gestational diabetes mellitus(GDM).Methods A total of 120 patients with GDM(GDM group)and 60 healthy pregnant women(control group)were included in this study.According to the pregnancy outcome,GDM patients were divided into the adverse pregnancy outcome(APO)group(50 cases)and the non-APO group(70 cases).The basic data of GDM patients were collected.Fasting blood glucose,fasting insulin and blood lipids were measured,and homeostasis model assessment of insulin resistance index(HOMA-IR)was calculated.The serum levels of GPER1 and CFH were detected by enzyme-linked immunosorbent assay.Pearson correlation analysis was used to analyze the correlation between serum levels of GPER1,CFH and HOMA-IR in GDM patients.Multivariate unconditional Logistic regression and receiver operating characteristic(ROC)curve were used to analyze the relationship between serum GPER1 and CFH levels and APO in GDM patients and to predict energy efficiency.Results Compared with the control group,serum levels of GPER1 and CFH were increased in the GDM group(P<0.05).Serum GPER1 and CFH levels were positively correlated with HOMA-IR in GDM patients(r=0.722 and 0.714,respectively,P<0.001).Compared with the non-APO group,serum levels of GPER1 and CFH were increased in the APO group(P<0.05).Elevated levels of HOMA-IR,GPER1 and CFH were independent risk factors for APO in GDM patients(P<0.05).The combined prediction of serum GPER1 and CFH[AUC=0.887(95%CI:0.816-0.937)]was superior to serum GPER1[AUC=0.789(95%CI:0.705-0.858)]and CFH[AUC=0.786(95%CI:0.701-0.856)]alone in predicting APO in GDM patients.Conclusion Serum levels of GPER1 and CFH in GDM patients are increased,which are closely related to the enhancement of insulin resistance and APO.The combination of the two has a higher predictive efficiency for APO.