PROVE-Pre-Eclampsia Obstetric Adverse Events: Establishment of a Biobank and Database for Pre-Eclampsia.
Lina BergmanKarl BergmanEduard LangeneggerAshley MoodleyStephanie Griffith-RichardsJohan WikströmDavid R HallLloyd JoubertPhilip HerbstSonja SchellTeelkien van VeenMichael BelfortStephen Y C TongSusan WalkerRoxanne HastieCatherine CluverPublished in: Cells (2021)
Pre-eclampsia is a leading cause of maternal and perinatal morbidity and mortality. The burden of disease lies mainly in low-middle income countries. The aim of this project is to establish a pre-eclampsia biobank in South Africa to facilitate research in the field of pre-eclampsia with a focus on phenotyping severe disease.The approach of our biobank is to collect biological specimens, detailed clinical data, tests, and biophysical examinations, including magnetic resonance imaging (MRI) of the brain, MRI of the heart, transcranial Doppler, echocardiography, and cognitive function tests.Women diagnosed with pre-eclampsia and normotensive controls are enrolled in the biobank at admission to Tygerberg University Hospital (Cape Town, South Africa). Biological samples and clinical data are collected at inclusion/delivery and during the hospital stay. Special investigations as per above are performed in a subset of women. After two months, women are followed up by telephonic interviews. This project aims to establish a biobank and database for severe organ complications of pre-eclampsia in a low-middle income country where the incidence of pre-eclampsia with organ complications is high. The study integrates different methods to investigate pre-eclampsia, focusing on improved understanding of pathophysiology, prediction of organ complications, and potentially future drug evaluation and discovery.
Keyphrases
- south africa
- magnetic resonance imaging
- polycystic ovary syndrome
- pregnancy outcomes
- hiv positive
- risk factors
- contrast enhanced
- pregnant women
- adverse drug
- physical activity
- quality improvement
- electronic health record
- mental health
- high throughput
- heart failure
- computed tomography
- healthcare
- diffusion weighted imaging
- small molecule
- cervical cancer screening
- pulmonary hypertension
- atrial fibrillation
- current status
- white matter
- big data
- insulin resistance
- hiv infected
- human immunodeficiency virus
- cerebral ischemia
- type diabetes
- hepatitis c virus
- brain injury
- data analysis
- machine learning