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Reproductive Sciences
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Detection and Identification of Novel Metabolomic Biomarkers in Preeclampsia

Louise C. Kenny, MBChB Hons, PhD, MRCOG

Maternal and Fetal Health Research Centre, University of Manchester, St Mary's Hospital, Manchester, United Kingdom, Department of Obstetrics and Gynaecology, University College Cork, Cork University Maternity Hospital, Wilton, Cork, Ireland, l.kenny{at}ucc.ie

David Broadhurst, PhD

School of Chemistry and the Manchester Centre for Integrative Systems Biology, Manchester Interdisciplinary Biocentre, the University of Manchester, Manchester, United Kingdom

Marie Brown, PhD

School of Chemistry and the Manchester Centre for Integrative Systems Biology, Manchester Interdisciplinary Biocentre, the University of Manchester, Manchester, United Kingdom

Warwick B. Dunn, PhD

School of Chemistry and the Manchester Centre for Integrative Systems Biology, Manchester Interdisciplinary Biocentre, the University of Manchester, Manchester, United Kingdom

Christopher W. G. Redman, MBBChir, MA, FRCP, FRCOG

Nuffield Department of Obstetrics and Gynaecology, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom

Douglas B. Kell, BA Hons, MA, DPhil

Department of Obstetrics and Gynaecology, University College Cork, Cork University Maternity Hospital, Wilton, Cork, Ireland

Philip N. Baker, DM, FRCOG

Maternal and Fetal Health Research Centre, University of Manchester, St Mary's Hospital, Manchester, United Kingdom, School of Medicine and the Manchester Interdisciplinary Biocentre, the University of Manchester, Manchester, United Kingdom

In a previous study, the ability of gas chromatography time-of-flight mass spectrometry to detect potential metabolic biomarkers in preeclampsia was demonstrated. In this study, the authors sought to validate their preliminary findings in an entirely different patient cohort using a complementary, novel, and powerful combination of analytical tools (ultra performance liquid chromatography and LTQ Orbitrap mass spectrometry system). Eight metabolites that appeared in the authors' previous patient cohort were identified as being statistically significant (P < .01) as discriminatory biomarkers. The chemical identities of these 8 metabolites were established using authentic chemical standards. They included uric acid, 2-oxoglutarate, glutamate, and alanine. This is the first study to identify, in an unbiased manner, a series of small-molecular-weight metabolites that effectively detect preeclampsia in plasma. The identity of these metabolites provides new insights into the pathology of this condition and raises the possibility of the development of a predictive test.

Key Words: Preeclampsia • biomarkers • metabolomics.

This version was published on July 1, 2008

Reproductive Sciences, Vol. 15, No. 6, 591-597 (2008)
DOI: 10.1177/1933719108316908
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