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    A proof-of-principle gel-free proteomics strategy for the identification of predictive biomarkers for the onset of pre-eclampsia.

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    Authors
    Blankley, R T
    Gaskell, S J
    Whetton, Anthony D
    Dive, Caroline
    Baker, P N
    Myers, J E
    Affiliation
    Maternal and Fetal Health Research Group, St Mary's Hospital, University of Manchester, Manchester, UK. richard.blankley-2@manchester.ac.uk
    Issue Date
    2009-10
    
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    Abstract
    OBJECTIVE: 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.
    Citation
    A proof-of-principle gel-free proteomics strategy for the identification of predictive biomarkers for the onset of pre-eclampsia. 2009, 116 (11):1473-80 BJOG
    Journal
    BJOG
    URI
    http://hdl.handle.net/10541/109325
    DOI
    10.1111/j.1471-0528.2009.02283.x
    PubMed ID
    19663911
    Type
    Article
    Language
    en
    ISSN
    1471-0528
    ae974a485f413a2113503eed53cd6c53
    10.1111/j.1471-0528.2009.02283.x
    Scopus Count
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    All Paterson Institute for Cancer Research

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