[ ABSTRACT] AIM:To study the relationship between transcriptional factor c-Jun and Mepe gene expression, and to identify the specific binding site of c-Jun on the promoter of Mepe.METHODS:The expression of c-Jun and Mepe in mouse bone tissue was detected by immunolocalization assay.The mRNA expression of Mepe was determined by real-time PCR when the expression of c-Jun was changed.The techniques of dual luciferase analysis and site-specific mutagenesis were used to measure the effects of c-Jun on the transcriptional activity of Mepe.RESULTS:c-Jun was detected in the nu-cleus of osteocytes, while Mepe was observed in osteocyte cytoplasm.The results of real-time PCR showed that overexpres-sion of c-Jun directly resulted in significantly higher up-regulation of Mepe mRNA.Compared with control group, the tran-scriptional activity of Mepe promoter was increased in osteoblasts which was transfected with pCMV-3Tag-1-c-Jun.Mutation of c-Jun potential binding sites decreased the transcriptional activity of Mepe promoter.CONCLUSION:Mepe gene tran-scription can be up-regulated by c-Jun which binds to the specific sites of Mepe promoter in osteoblasts.

Objective:To estimate the effect of comorbid gestational diabetes mellitus (GDM) and depression on glucose metabolism and neonatal morphology.Methods:From March 2015 to October 2018, recruited 18 to 28 weeks pregnant women who met the criteria in the Hefei First People′s Hospital or First Affiliated Hospital of Anhui Medical University or Anhui Maternal and Child Health Hospital, including a total of 4 380 study subjects, of which the birth outcome information of 3 827 newborns were collected. The self-made questionnaire "Maternal Health Questionnaire for Hefei City" and Edinburgh Postpartum Depression Scale were used to obtain basic demographic characteristics and emotional state of depression. Data from the 75-g oral-glucose-tolerance test were obtained at 24-28 weeks of gestation. After delivery, delivery outcome information were collected from the hospital medical records. Covariance analysis was used to analyze the differences in glucose metabolism indicators and neonatal outcome indicators in pregnant women with different GDM and depression status. Multiple logistic regression model was used to analyze the correlation between GDM and depression, with different groups of GDM and depression status (no GDM and depression, simple depression, simple GDM, comorbid GDM and depression)as independent variables and whether they were large for gestational age as dependent variables. The interaction between GDM and depression was also analyzed.Results:The 4 380 pregnant women were (28.8±4.2) years old. The incidence of GDM was 19.5% (852/4 380), and the detection rates of depression in the second and third trimesters were 12.1% (526/4 380) and 12.3% (536/4 367). PG-1h and AUC in the comorbid GDM and depression group were significantly higher than those in the group with no GDM and depression ( P<0.05) and the single GDM group ( P<0.05). After adjusting for factors such as the childbirth age, education level, family′s main economic income, BMI before pregnancy, parity, number of physical activities, and weight gain during pregnancy, compared with the group with no GDM and depression, the RR(95% CI) of LGA occurred in the single depression group, the single GDM group and the comorbid group were 1.31(0.89-1.91), 1.51(1.14-2.00) and 2.43(1.29-4.57), respectively. Further analysis showed that the association between GDM pregnant women with depression and newborn LGA ［ RR (95% CI): 2.12 (1.01-4.49)］ was stronger than that between GDM pregnant women without depression and newborn LGA ［ RR (95% CI): 1.50 (1.12-1.99)］, the P interaction value was<0.05. Conclusion:The status of comorbid GDM and depression can impair glucose metabolism and increase the risk of LGA.

Objective:To estimate the effect of comorbid gestational diabetes mellitus (GDM) and depression on glucose metabolism and neonatal morphology.Methods:From March 2015 to October 2018, recruited 18 to 28 weeks pregnant women who met the criteria in the Hefei First People′s Hospital or First Affiliated Hospital of Anhui Medical University or Anhui Maternal and Child Health Hospital, including a total of 4 380 study subjects, of which the birth outcome information of 3 827 newborns were collected. The self-made questionnaire "Maternal Health Questionnaire for Hefei City" and Edinburgh Postpartum Depression Scale were used to obtain basic demographic characteristics and emotional state of depression. Data from the 75-g oral-glucose-tolerance test were obtained at 24-28 weeks of gestation. After delivery, delivery outcome information were collected from the hospital medical records. Covariance analysis was used to analyze the differences in glucose metabolism indicators and neonatal outcome indicators in pregnant women with different GDM and depression status. Multiple logistic regression model was used to analyze the correlation between GDM and depression, with different groups of GDM and depression status (no GDM and depression, simple depression, simple GDM, comorbid GDM and depression)as independent variables and whether they were large for gestational age as dependent variables. The interaction between GDM and depression was also analyzed.Results:The 4 380 pregnant women were (28.8±4.2) years old. The incidence of GDM was 19.5% (852/4 380), and the detection rates of depression in the second and third trimesters were 12.1% (526/4 380) and 12.3% (536/4 367). PG-1h and AUC in the comorbid GDM and depression group were significantly higher than those in the group with no GDM and depression ( P<0.05) and the single GDM group ( P<0.05). After adjusting for factors such as the childbirth age, education level, family′s main economic income, BMI before pregnancy, parity, number of physical activities, and weight gain during pregnancy, compared with the group with no GDM and depression, the RR(95% CI) of LGA occurred in the single depression group, the single GDM group and the comorbid group were 1.31(0.89-1.91), 1.51(1.14-2.00) and 2.43(1.29-4.57), respectively. Further analysis showed that the association between GDM pregnant women with depression and newborn LGA ［ RR (95% CI): 2.12 (1.01-4.49)］ was stronger than that between GDM pregnant women without depression and newborn LGA ［ RR (95% CI): 1.50 (1.12-1.99)］, the P interaction value was<0.05. Conclusion:The status of comorbid GDM and depression can impair glucose metabolism and increase the risk of LGA.