Association of aryl hydrocarbon receptor transactivating activity, a potential biomarker for persistent organic pollutants, with the risk of gestational diabetes mellitus

Persistent organic pollutants(POPs) are suggested to be potential risk factors for gestational diabetes mellitus(GDM). We examined the hypothesis that the aryl hydrocarbon receptor trans-activating(AhRT) activity, a potential biomarker for the presence of POPs, could be a GDM risk factor in pregnant women. A total of 390 GDM and 100 normal pregnant(non-GDM) subjects in the Korea National Diabetes Program cohort voluntarily participated. We measured AhRT activity and concentrations of ATP and reactive oxygen in the serum collected at the screening of the participants for GDM using recombinant Hepa1c1c7 cells. Odds ratios(ORs) and 95% confidence intervals(CIs) were estimated using multivariable logistic regression models. The sensitivity and specificity of AhRT activity for GDM diagnostics were measured by receiver operating characteristic(ROC) analysis. Body mass index at pre-pregnancy and delivery and systolic blood pressure were significantly higher in the GDM group. AhRT activity was higher, and ATP concentrations were lower in the GDM group than the non-GDM group(P<0.0001). AhRT activity was significantly higher in the GDM group(OR 29.3, 95% CI 10.9-79.1) compared with non-GDM(P<0.0001). Serum glucose concentration at 1 h after a 50 g glucose challenge(glucose-50) was moderately correlated with AhRT activity(r(2)=0.387) and negatively correlated with ATP production(r(2)=-0.650). In the ROC curve, AhRT activity had 70.9% sensitivity and 90.0% specificity for glucose-50, a GDM screening method. In conclusion, this study suggests that serum AhRT activity is positively associated with the risk of GDM.

Automated summary

This study suggests that serum AhRT activity is positively associated with the risk of GDM, with higher AhRT activity and lower ATP concentrations in the GDM group. The AhRT activity has moderate correlations with serum glucose levels and could be a potential biomarker for GDM diagnostics.