Group activities

The main goal of our research group is for the patients of the Department of Obstetrics and Gynecology of the Clinical Center of the University of Pécs to be able to successfully conceive and have healthy children using the most modern methods and research results. To this end, we aim to prevent and optimally treat the most common and dangerous diseases that occur during pregnancy. Our research is therefore primarily focused on diseases such as preeclampsia, habitual miscarriage, threatened preterm birth, and premature rupture of the membrane.
Our main project is the introduction of uterine and ovarian transplantation in animal experiments and then in human patients. These interventions, which require a high level of expertise, have already been successfully applied abroad, but are not yet available in Hungary. However, after transplantation, women who do not have the reproductive organs needed to have a child after a developmental disorder or after oncology treatment may also have a chance to have a baby. The international literature has reported successful pregnancies after transplantation, so our primary goal is to make these interventions available in our clinic for the first time in Hungary.
By examining the maternal hemodynamic changes that occur during preeclampsia, we can differentiate between the types of preeclampsia and, accordingly, we have a modern, globally unique treatment option for pregnant women, based on which our publications have appeared in prestigious journals. These results are complemented by biomarker and immunological studies to better understand and treat the disease more effectively.
We also examine the pathological processes with the help of various biomarkers and immunological agents in the case of other diseases that complicate pregnancy, such as habitual miscarriage, premature rupture of the membrane and threatened preterm birth. We are examining the immunological effects of progesterone treatment and attempting to detect intra-amniotic inflammation early to help determine the optimal treatment.