Gestational diabetes mellitus (GDM) affects 3–14% of pregnancies, with 20–50% of these women progressing to type 2 diabetes (T2D) within 5 years. This study sought to develop a metabolomics signature to predict the transition from GDM to T2D. A prospective cohort of 1,035 women with GDM pregnancy were enrolled at 6–9 weeks postpartum (baseline) and were screened for T2D annually for 2 years. Of 1,010 women without T2D at baseline, 113 progressed to T2D within 2 years. T2D developed in another 17 women between 2 and 4 years. A nested case-control design used 122 incident case patients matched to non–case patients by age, prepregnancy BMI, and race/ethnicity. We conducted metabolomics with baseline fasting plasma and identified 21 metabolites that significantly differed by incident T2D status. Machine learning optimization resulted in a decision tree modeling that predicted T2D incidence with a discriminative power of 83.0% in the training set and 76.9% in an independent testing set, which is far superior to measuring fasting plasma glucose levels alone. The American Diabetes Association recommends T2D screening in the early postpartum period via oral glucose tolerance testing after GDM, which is a time-consuming and inconvenient procedure. Our metabolomics signature predicted T2D incidence from a single fasting blood sample. This study represents the first metabolomics study of the transition from GDM to T2D validated in an independent testing set, facilitating early interventions.

The concentration of VEGF and VEGFR-1 in VS homogenates correlates with tumor growth rate but not with tumor size or symptom duration. We conclude that VEGF and VEGFR-1 appear to be directly involved in the growth pattern of VS.

The global epidemic of diabetes is a serious threat against health and healthcare expenses. Although genetics is important it does not explain the dramatic increase in incidence, which must involve environmental factors. Two decades ago the concept of the thrifty phenotype was introduced, stating that the intrauterine environment during pregnancy has an impact on the gene expression that may persist until adulthood and cause metabolic diseases like obesity and type 2 diabetes. As the pancreatic beta cells are crucial in the regulation of metabolism this article will describe the influence of normal pregnancy on the beta cells in both the mother and the fetus and how various conditions like diabetes, obesity, overnutrition and undernutrition during and after pregnancy may influence the ability of the offspring to adapt to changes in insulin demand later in life. The influence of environmental factors including nutrients and gut microbiota on appetite regulation, mitochondrial activity and the immune system that may affect beta cell growth and function directly and indirectly is discussed. The possible role of epigenetic changes in the transgenerational transmission of the adverse programming may be the most threatening aspect with regard to the global diabetes epidemics. Finally, some suggestions for intervention are presented.

Vestibular schwannomas express MMP-2, MMP-9, and TIMP-1 and the tumor concentration of MMP-9 correlates with absolute tumor growth rate, but not with age, gender, symptom duration, or preoperative tumor size. No correlations existed between any clinical parameter and MMP-2 or TIMP-1 expression. We conclude that MMP-9 appears to be involved in the growth of vestibular schwannomas.