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dc.contributor.authorBlankley, R T
dc.contributor.authorGaskell, S J
dc.contributor.authorWhetton, Anthony D
dc.contributor.authorDive, Caroline
dc.contributor.authorBaker, P N
dc.contributor.authorMyers, J E
dc.date.accessioned2010-08-09T14:50:52Z
dc.date.available2010-08-09T14:50:52Z
dc.date.issued2009-10
dc.identifier.citationA proof-of-principle gel-free proteomics strategy for the identification of predictive biomarkers for the onset of pre-eclampsia. 2009, 116 (11):1473-80 BJOGen
dc.identifier.issn1471-0528
dc.identifier.pmid19663911
dc.identifier.doi10.1111/j.1471-0528.2009.02283.x
dc.identifier.urihttp://hdl.handle.net/10541/109325
dc.description.abstractOBJECTIVE: Progress in the prevention and treatment of women at risk of pre-eclampsia (PE) still remains hindered by the lack of clinical screening tools that can accurately predict which mothers are at risk. The identification and validation of predictive biomarkers is therefore seen as a critical milestone towards improved healthcare provision and the clinical testing of new therapeutic strategies. Gel-free proteomic technologies offer the capability of analysing hundreds of plasma proteins simultaneously, but as yet these methods have not been applied to pregnancy complications. To assess the feasibility of such an approach to plasma biomarker research in pregnancy we have applied the technique to samples from women with PE to gestation-matched controls. SAMPLE: Pooled plasma samples taken at time of disease from women with PE (n = 23) and gestation-matched controls (n = 23). METHODS: Proteomics strategy for relative quantification of proteins using mass spectrometry. RESULTS: We identified several differences, including elevated levels of endoglin, PAPP-A and PSG1 in PE plasma. Increased levels of endoglin were validated using immunoassay analysis of individual plasma samples. CONCLUSIONS: Although at a relatively early stage, this mass spectrometry-based approach shows promise as a tool to identify global protein changes in plasma. The application of these methods to pre-disease samples is the next step in the identification of clinically useful biomarkers.
dc.language.isoenen
dc.subject.meshBiological Markers
dc.subject.meshBlood Proteins
dc.subject.meshCase-Control Studies
dc.subject.meshEnzyme-Linked Immunosorbent Assay
dc.subject.meshFeasibility Studies
dc.subject.meshFemale
dc.subject.meshHumans
dc.subject.meshMass Spectrometry
dc.subject.meshPre-Eclampsia
dc.subject.meshPregnancy
dc.subject.meshPrenatal Diagnosis
dc.subject.meshProteomics
dc.subject.meshReproducibility of Results
dc.subject.meshRisk Assessment
dc.titleA proof-of-principle gel-free proteomics strategy for the identification of predictive biomarkers for the onset of pre-eclampsia.en
dc.typeArticleen
dc.contributor.departmentMaternal and Fetal Health Research Group, St Mary's Hospital, University of Manchester, Manchester, UK. richard.blankley-2@manchester.ac.uken
dc.identifier.journalBJOGen
html.description.abstractOBJECTIVE: Progress in the prevention and treatment of women at risk of pre-eclampsia (PE) still remains hindered by the lack of clinical screening tools that can accurately predict which mothers are at risk. The identification and validation of predictive biomarkers is therefore seen as a critical milestone towards improved healthcare provision and the clinical testing of new therapeutic strategies. Gel-free proteomic technologies offer the capability of analysing hundreds of plasma proteins simultaneously, but as yet these methods have not been applied to pregnancy complications. To assess the feasibility of such an approach to plasma biomarker research in pregnancy we have applied the technique to samples from women with PE to gestation-matched controls. SAMPLE: Pooled plasma samples taken at time of disease from women with PE (n = 23) and gestation-matched controls (n = 23). METHODS: Proteomics strategy for relative quantification of proteins using mass spectrometry. RESULTS: We identified several differences, including elevated levels of endoglin, PAPP-A and PSG1 in PE plasma. Increased levels of endoglin were validated using immunoassay analysis of individual plasma samples. CONCLUSIONS: Although at a relatively early stage, this mass spectrometry-based approach shows promise as a tool to identify global protein changes in plasma. The application of these methods to pre-disease samples is the next step in the identification of clinically useful biomarkers.


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