A.p. Prof. Dr. Christian Göbl, MSc PhDHead of the Study Group Obesity and Metabolism in Obstetrics and Gynaecology
Department of Obstetrics and Gynecology
Position: Associate Professor
T +43 1 40400 28220
christian.goebl@meduniwien.ac.at
Keywords
Bariatric Surgery; Carbohydrate Metabolism; Diabetes Mellitus; Insulin; Insulin Resistance; Obesity
Research interests
- In vivo examinations of glucose disposal;
- Analysis of OGTT/IVGTT data;
- Modelling of insulin sensitivity and insulin secretion during/after pregnancy and their association with fetal development;
- Pregnancy and pregnancy outcome of mothers with history of bariatric surgery;
- Medical biometry and clinical prediction models;
Techniques, methods & infrastructure
Our research group has a strong focus on the assessment of metabolic changes during pregnancy affected by different disorders (e.g. Gestational Diabetes Mellitus, preconceptional obesity and diabetes, Polycystic Ovary Syndrome) particularly to study their relative impact on carbohydrate metabolism and fetal development. Moreover, we aim to create and validate clinical prediction models based on metabolic data.
Selected publications
- Göbl, C.S. et al., 2017. Assessment of glucose regulation in pregnancy after gastric bypass surgery. Diabetologia. Available at: http://dx.doi.org/10.1007/s00125-017-4437-6.
- Feichtinger, M. et al., 2016. Altered glucose profiles and risk for hypoglycaemia during oral glucose tolerance testing in pregnancies after gastric bypass surgery. Diabetologia, 60(1), pp.153-157. Available at: http://dx.doi.org/10.1007/s00125-016-4128-8.
- Göbl, C.S. et al., 2015. To explain the variation of OGTT dynamics by biological mechanisms: a novel approach based on principal components analysis in women with history of GDM. American Journal of Physiology - Regulatory, Integrative and Comparative Physiology, 309(1), pp.R13-R21. Available at: http://dx.doi.org/10.1152/ajpregu.00059.2015.
- Göbl, C.S. et al., 2012. 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(12), pp.3173-3181. Available at: http://dx.doi.org/10.1007/s00125-012-2726-7.
- Göbl, C.S. et al., 2011. Early Possible Risk Factors for Overt Diabetes After Gestational Diabetes Mellitus. Obstetrics & Gynecology, 118(1), pp.71-78. Available at: http://dx.doi.org/10.1097/AOG.0b013e318220e18f.