Principal investigator
Martin Overgaard, Biochemist, Associate Professor, PhD
Martin.Overgaard@rsyd.dk; https://portal.findresearcher.sdu.dk/da/persons/movergaard
Background
There is an urgent need for biomarkers to predict woman at high risk for developing major pregnancy complications such as preterm birth, preeclampsia and gestational diabetes.
Research aim
Our aim is to evaluate and implement biochemical markers for early prediction and risk stratification of major obstetric syndrome.
Project examples
- First-trimester biomarkers for prediction of gestational diabetes mellitus in obese and non-obese women
- Evaluation of novel biomarkers of gestational diabetes mellitus (GDM) and large-for-gestational age in the Danish SugarMum cohort
- First trimester biomarkers for prediction of late-onset preeclampsia
- Implementation and retrospective performance of the ratio of angiogenic factors sFlt-1/PlGF in women with suspected preeclampsia
Available cohorts and infrastructures
- PRESIDE-OUH (biobank wk 12)
- SugarMuM (biobank wk 12, wk 24-28)
- Odense GDM (biobank wk 8-12)
Collaborators
- Dorte Møller Jensen, Professor, Steno Diabetes Center, OUH
- Lise Lotte Torvin Andersen, Dept. Obstetrics and Gynaecology, OUH
- Lene Sperling, Associate Professor, Dept. Obstetrics and Gynaecology, OUH
- Marianne Skovsager Andersen, Professor, Dept. Endocrinology, OUH
- Tine Dalsgaard Clausen, Ass. Professor, Dept. Obstetrics and Gynaecology, Hospital of Northern Zealand, NOH
- Evosep Biosystems, Odense
Publication examples
- Andersen LLT, Helt A, Sperling L, Overgaard M Decision Threshold for Kryptor sFlt‐1/PlGF Ratio in Women With Suspected Preeclampsia: Retrospective Study in a Routine Clinical Setting,J Am Heart Assoc (2021) Sep 7;10(17).
- Overgaard M, Glintborg D, Christesen HT, Jensen TK, Andersen MS. Maternal prolactin is associated with glucose status and PCOS in pregnancy: Odense Child Cohort. Eur J Endocrinol. (2020);183(3):307-316.
- Ravnsborg T, Svaneklink S, Andersen LLT, Larsen MR, Jensen DM, Overgaard M. First-trimester proteomic profiling identifies novel predictors of gestational diabetes mellitus. PLoS One (2019) Mar 27;14(3).