Prediction of pre-diabetes and type 2 diabetes nine years postpartum using serum metabolome in pregnant women with gestational diabetes requiring pharmacological treatment
Affiliation:
1. Department of Obstetrics and Gynecology, University of Turku, FI-20014 Turku, Finland;2. Department of Obstetrics and Gynecology, Turku University Hospital, Kiinamyllynkatu 4-8, FI-20521 Turku, Finland;3. Department of Medicine, University of Turku, FI-20014 Turku, Finland;4. Division of Medicine, Turku University Hospital, Kiinamyllynkatu 4-8, FI-20521 Turku, Finland;5. Department of Pediatrics and Adolescent Medicine, University of Turku and University Hospital of Turku, Turku, Finland;6. Actim Oy, Klovinpellontie 3, FI-02180 Espoo, Finland
Abstract:
AimsWe examined the association between serum metabolome in women with pharmacologically treated gestational diabetes (GDM) and measures of glucose metabolism 9 years postpartum.MethodsSerum targeted metabolome, adiponectin, inflammatory markers, and insulin-like growth factor-binding protein-1 phosphoisoforms were analyzed at the time of diagnosing GDM. Glucose metabolism and insulin resistance were assessed at 9 years postpartum. Data from 119 subjects were available for analyses. Associations between baseline measures and future measures of glycemia were examined with univariate regressions and multivariate prediction models. This is a secondary analysis of a previous prospective trial (NCT02417090).ResultsBaseline serum markers were most strongly related to measures of insulin resistance at 9-years follow-up. In multivariate analyses combination of IDL cholesterol, early gestational weight gain and in oral glucose tolerance test fasting and 2-h glucose predicted development of disorders of glucose metabolism (pre-diabetes and/or type 2 diabetes) better than clinical predictors alone (ROC-AUC 0.75 vs. 0.65, p = 0.020).ConclusionsSerum metabolome in pregnancy in women with GDM is related to future glucose metabolism and insulin resistance. Compared to clinical variables alone metabolome might result in better prediction of future disorders of glucose metabolism and could facilitate personalized risk stratification for postpartum interventions and follow-up.