Our research group has a strong focus on the assessment of metabolic changes during pregnancy affected by different disorders (e.g. GDM, preconceptional diabetes, PCOS) particularly to study their relative impact on carbohydrate metabolism. Moreover, we aim to create and validate clinical prediction models based on metabolic data.
Methods & Techniques
In vivo examinations of glucose disposal (clamp, FSIGT, OGTT etc.); Modelling of insulin sensitivity and insulin secretion during/after pregnancy; Continuous glucose monitoring; Clinical prediction models; Analysis of longitudinal data
Göbl CS, Bozkurt L, Mittlböck M, Leutner M, Yarragudi R, Tura A, Pacini G, Kautzky-Willer A. To explain the variation of OGTT dynamics by biological mechanisms: A novel approach based on principal components analysis in women with history of GDM. Am J Physiol; doi: 10.1152/ajpregu.00059.2015 [Epub ahead of print]
Göbl CS, Bozkurt L, Yarragudi R, Prikoszovich T, Tura A, Pacini G, Koppensteiner R, Kautzky-Willer A. Biomarkers of endothelial dysfunction in relation to impaired carbohydrate metabolism following pregnancy with gestational diabetes mellitus. Cardiovasc Diabetol 13: 138, 2014
Göbl CS, Bozkurt L, Yarragudi R, Tura A, Pacini G, Kautzky-Willer A. Is early postpartum HbA1c an appropriate risk predictor after pregnancy with gestational diabetes mellitus? Acta Diabetol 51: 715–722, 2014
Göbl CS, Bozkurt L, Prikoszovich T, Tura A, Pacini G, Kautzky-Willer A. Estimating the Risk after Gestational Diabetes Mellitus: can we improve the information from the postpartum OGTT? Am J Physiol 305: E524–E530, 2013
Göbl CS, Bozkurt L, Rivic P, Schernthaner G, Weitgasser R, Pacini G, Mittlböck M, Bancher-Todesca D, Lechleitner M, Kautzky-Willer A:.A two-step screening algorithm including fasting plasma glucose measurement and a risk estimation model is an accurate strategy for detecting gestational diabetes mellitus. Diabetologia 55: 3173–3181, 2012