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Development of a metabolome screening test for pre-eclampsia

ReferenceBB/C524403/1
Principal Investigator / Supervisor Professor Philip Baker
Co-Investigators /
Co-Supervisors		 Professor Douglas Kell, Dr Louise Kenny
Institution The University of Manchester
DepartmentMedical and Human Sciences
Funding typeResearch
Value (£) 59,623
StatusCompleted
TypeResearch Grant
Start date 01/07/2005
End date 30/06/2006
Duration12 months

Abstract

Pre-eclampsia is a multisystemic disorder of pregnancy with massive implications for both mother and baby. Approximately 100,000 women die from pre-eclampsia each year, and the condition is responsible for 1/6th of all stillbirths. Currently available methods of identifying the condition prior to clinical presentation are of minimal clinical use. We hypothesise that the presence of circulating factors in pre-eclampsia provides the means of an accurate predictive test using metabolomics. The objectives of this study are to i) identify the variables found to be highly discriminatory in our pilot study of women with established disease and ii) obtain metabolomic data from women prior to the diagnosis of pre-eclampsia to provide a predictive screen for the condition. Accurate prediction of women at risk of developing the condition should lead both to improved antenatal care and to targeting of innovative therapeutic strategies to those at greatest risk.

Summary

Pre-eclampsia is a multisystemic disorder of pregnancy with massive implications for both mother and baby. Approximately 100,000 women die from pre-eclampsia each year, and the condition is responsible for 1/6th of all stillbirths. Currently available methods of identifying the condition prior to clinical presentation are of minimal clinical use. We hypothesise that the presence of circulating factors in pre-eclampsia provides the means of an accurate predictive test using metabolomics. The objectives of this study are to i) identify the variables found to be highly discriminatory in our pilot study of women with established disease and ii) obtain metabolomic data from women prior to the diagnosis of pre-eclampsia to provide a predictive screen for the condition. Accurate prediction of women at risk of developing the condition should lead both to improved antenatal care and to targeting of innovative therapeutic strategies to those at greatest risk.
Committee Closed Committee - Engineering & Biological Systems (EBS)
Research TopicsX – not assigned to a current Research Topic
Research PriorityX – Research Priority information not available
Research Initiative Follow-On Fund (FOF) [2004-2015]
Funding SchemeX – not Funded via a specific Funding Scheme
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