Literature DB >> 19663911

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

R T Blankley1, S J Gaskell, A D Whetton, C Dive, P N Baker, J E Myers.   

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.

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Year:  2009        PMID: 19663911     DOI: 10.1111/j.1471-0528.2009.02283.x

Source DB:  PubMed          Journal:  BJOG        ISSN: 1470-0328            Impact factor:   6.531


  6 in total

1.  Metabolomics in premature labor: a novel approach to identify patients at risk for preterm delivery.

Authors:  Roberto Romero; Shali Mazaki-Tovi; Edi Vaisbuch; Juan Pedro Kusanovic; Tinnakorn Chaiworapongsa; Ricardo Gomez; Jyh Kae Nien; Bo Hyun Yoon; Moshe Mazor; Jingqin Luo; David Banks; John Ryals; Chris Beecher
Journal:  J Matern Fetal Neonatal Med       Date:  2010-05-26

2.  Integrated Systems Biology Approach Identifies Novel Maternal and Placental Pathways of Preeclampsia.

Authors:  Nandor Gabor Than; Roberto Romero; Adi Laurentiu Tarca; Katalin Adrienna Kekesi; Yi Xu; Zhonghui Xu; Kata Juhasz; Gaurav Bhatti; Ron Joshua Leavitt; Zsolt Gelencser; Janos Palhalmi; Tzu Hung Chung; Balazs Andras Gyorffy; Laszlo Orosz; Amanda Demeter; Anett Szecsi; Eva Hunyadi-Gulyas; Zsuzsanna Darula; Attila Simor; Katalin Eder; Szilvia Szabo; Vanessa Topping; Haidy El-Azzamy; Christopher LaJeunesse; Andrea Balogh; Gabor Szalai; Susan Land; Olga Torok; Zhong Dong; Ilona Kovalszky; Andras Falus; Hamutal Meiri; Sorin Draghici; Sonia S Hassan; Tinnakorn Chaiworapongsa; Manuel Krispin; Martin Knöfler; Offer Erez; Graham J Burton; Chong Jai Kim; Gabor Juhasz; Zoltan Papp
Journal:  Front Immunol       Date:  2018-08-08       Impact factor: 7.561

Review 3.  Overlap of proteomics biomarkers between women with pre-eclampsia and PCOS: a systematic review and biomarker database integration.

Authors:  Gulafshana Hafeez Khan; Nicolas Galazis; Nikolina Docheva; Robert Layfield; William Atiomo
Journal:  Hum Reprod       Date:  2014-10-28       Impact factor: 6.918

4.  Potential urine biomarkers for gestational hypertension and preeclampsia.

Authors:  Hong-Xia Guo; Yan-Bin Zhu; Cui-Ping Wu; Mei Zhong; Shui-Wang Hu
Journal:  Mol Med Rep       Date:  2019-01-30       Impact factor: 2.952

5.  The prediction of early preeclampsia: Results from a longitudinal proteomics study.

Authors:  Adi L Tarca; Roberto Romero; Neta Benshalom-Tirosh; Nandor Gabor Than; Dereje W Gudicha; Bogdan Done; Percy Pacora; Tinnakorn Chaiworapongsa; Bogdan Panaitescu; Dan Tirosh; Nardhy Gomez-Lopez; Sorin Draghici; Sonia S Hassan; Offer Erez
Journal:  PLoS One       Date:  2019-06-04       Impact factor: 3.240

Review 6.  Quantitative proteomics-based analyses performed on pre-eclampsia samples in the 2004-2020 period: a systematic review.

Authors:  Rosana Navajas; Fernando Corrales; Alberto Paradela
Journal:  Clin Proteomics       Date:  2021-01-26       Impact factor: 3.988

  6 in total

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