Pre-eclampsia (PET) is a condition characterised by high blood pressure and damage to other organs, and is a leading cause of maternal and fetal complications such as fetal growth restriction (FGR). Gestational diabetes mellitus (GDM) involves abnormal blood sugar levels during pregnancy and can have both short and long-term impacts on the health of the mother and child. Both conditions are linked to placental dysfunction but the precise mechanisms behind these links remain unclear.
A major focus of this study is on extracellular vesicles (EVs) which are tiny, bubble-like particles released by the placenta into the mother's and baby's bloodstreams. These EVs act as messengers, carrying proteins, lipids and genetic material that can influence how cells function, even in parts of the body far from the placenta. Notably, the number and content of these EVs change in conditions like PET and GDM, suggesting they may play a role in the development of these complications.
This single-site, observational, laboratory study aims to investigate how these EVs contribute to maternal health and disease. To enable analysis across different physiological and pathological conditions pregnant participants with healthy pregnancies, pregnancies predisposed to PET and pregnancies complicated by GDM, FGR and PET will be recruited alongside healthy non-pregnant controls. Recruitment will be from the Oxford University Hospitals NHS Foundation Trust and the Nuffield Department of Women's and Reproductive Health, University of Oxford (who fund the research). Demographic and clinical data will be collected as well as blood, urine, breath, voice, placenta, umbilical cord, umbilical cord blood, amniotic fluid and/or uterine vein blood samples.
Through examining EV content and function, it is hoped a better understanding of their role in pregnancy complications will be gained, including their potential as non-invasive biomarkers for early detection and targeted treatments, improving outcomes for mothers and babies worldwide.
Female, aged 18 years or above
Willing and able to give informed consent for participation in the study
Able to read and understand written and spoken English to comprehend study materials and give informed consent
Healthy pregnancy
Non-pregnant participants with active health conditions that could confound study outcomes
Pregnant participants with conditions unrelated to PET, GDM or FGR that could influence EV profiles e.g. active infections or malignancies
This study will recruit a diverse cohort of pregnant and non-pregnant participants to enable analysis of placental EVs and soluble factors across different physiological and pathological conditions. Participants will include: * Pregnant women with pre-eclampsia, gestational diabetes mellitus or fetal growth restriction to allow the study of disease-specific alterations in EVs and systemic responses. * Pregnant women predisposed to pre-eclampsia to provide insights into risk factors and early-stage changes, aiding in biomarker discovery for prediction and prevention. * Pregnant women with healthy pregnancies to understand normal EV release and immune regulation. * Non-pregnant women to provide critical baseline data to differentiate the effects of pregnancy from underlying physiological processes. Pregnant participants may be recruited at any gestational stage to ensure a comprehensive coverage of pregnancy progression.
Other
Other
There are no interventions for this study
Other interventionThere are no interventions for this study
6
Treatment groupsSee each treatment group below.
Enhanced understanding of the molecular and cellular mechanisms linking placental EVs to maternal systemic inflammation in PET and GDM.
Quantitative (number of particles/ml) and qualitative differences (protein cargo) in EV profiles
Quantitative and qualitative differences in inflammatory immune cells
Quantitative (cells/ml) and qualitative (protein and RNA composition/mg cell) will be measured
Sensitivity, specificity and predictive value of EVs for identifying PET, GDM and other pregnancy complications
Standard statistical analysis of EV parameters against clinical endpoints to derive sensitivity, specificity and PPV/NPV in these disease conditions
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