alexa A proteomic approach identifies early pregnancy biomarkers for preeclampsia: novel linkages between a predisposition to preeclampsia and cardiovascular disease.
Bioinformatics & Systems Biology

Bioinformatics & Systems Biology

Journal of Proteomics & Bioinformatics

Author(s): Blumenstein M, McMaster MT, Black MA, Wu S, Prakash R,

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Abstract Preeclampsia (PE) is a common, potentially life-threatening pregnancy syndrome triggered by placental factors released into the maternal circulation, resulting in maternal vascular dysfunction along with activated inflammation and coagulation. Currently there is no screening test for PE. We sought to identify differentially expressed plasma proteins in women who subsequently develop PE that may perform as predictive biomarkers. In seven DIGE experiments, we compared the plasma proteome at 20 wk gestation in women who later developed PE with an appropriate birth weight for gestational age baby (n=27) or a small for gestational age baby (n=12) to healthy controls with uncomplicated pregnancies (n=57). Of the 49 differentially expressed spots associated with PE-appropriate for gestational age, PE-small for gestational age or both (p<0.05, false discovery rate corrected), 39 were identified by LC-MS/MS. Two protein clusters that accurately (>90\%) classified women at risk of developing PE were identified. Immunoblots confirmed the overexpression of fibrinogen gamma chain and alpha-1-antichymotrypsin in plasma prior to PE. The proteins identified are involved in lipid metabolism, coagulation, complement regulation, extracellular matrix remodeling, protease inhibitor activity and acute-phase responses, indicating novel synergism between pathways involved in the pathogenesis of PE. Our findings are remarkably similar to recently identified proteins complexed to high-density lipoprotein and linked to cardiovascular disease. This article was published in Proteomics and referenced in Journal of Proteomics & Bioinformatics

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