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    Date Issued2014 (1)2013 (1)Author
    Bathgate, Susanne (2)
    Crawford, Sybil L. (2)Maynard, Sharon E. (2)Moore Simas, Tiffany A. (2)Moore, Melissa J. (2)View MoreUMass Chan AffiliationDepartment of Biochemistry and Molecular Pharmacology (2)Department of Medicine, Division of Preventive and Behavioral Medicine (2)Department of Obstetrics and Gynecology (2)Document TypeJournal Article (2)KeywordObstetrics and Gynecology (2)UMCCTS funding (2)Angiogenic factors (1)Biochemistry, Biophysics, and Structural Biology (1)Biological Markers (1)View MoreJournalAmerican journal of obstetrics and gynecology (1)The journal of maternal-fetal and neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians (1)

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    Angiogenic biomarkers for prediction of early preeclampsia onset in high-risk women

    Moore Simas, Tiffany A.; Crawford, Sybil L.; Bathgate, Susanne; Yan, Jing; Robidoux, Laura; Moore, Melissa J.; Maynard, Sharon E. (2014-07-01)
    OBJECTIVE: Chronic hypertension, pregestational diabetes mellitus, history of prior preeclampsia and obese nulliparity are maternal conditions associated with increased preeclampsia risk. Whether altered maternal angiogenic factor levels allow for prediction of pending disease is unclear. Our objective was to evaluate angiogenic factors for early preeclampsia prediction in high-risk women. METHODS: Serial serum specimens were collected from 157 women at high preeclampsia risk and 50 low-risk controls between 23 and 36 weeks gestation in 3 windows (23-27.6, 28-31.6, and 32-35.6 weeks) in a two-center observational cohort. Soluble fms-like tyrosine kinase-1 (sFlt1), placental growth factor (PlGF) and soluble endoglin (sEng) were measured by ELISA. RESULTS: Multivariate parsimonious logistic regression analyses using backward elimination for prediction of early-preeclampsia (diagnosed < 34 weeks) found the best-fitting model included the predictors (1) sFlt1 measured in the second window (28-31.6 weeks) with AUC 0.85, sensitivity 67% and specificity 96% and (2) sFlt1 measured in the first window (23-27.6 weeks) and sEng change between first and second window with AUC 0.91, sensitivity 86% and specificity 96%. CONCLUSIONS: Two-stage sampling screening protocol utilizing sFlt1 and sEng is promising for prediction of preeclampsia diagnosed before 34 weeks. Larger studies are needed to confirm these findings.
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    Gestational angiogenic biomarker patterns in high risk preeclampsia groups

    Maynard, Sharon E.; Crawford, Sybil L.; Bathgate, Susanne; Yan, Jing; Robidoux, Laura; Moore, Melissa J.; Moore Simas, Tiffany A. (Elsevier, 2013-07-01)
    OBJECTIVE: Several conditions are associated with increased preeclampsia (PE) risk. Whether altered maternal angiogenic factor levels contribute to risk in these conditions is unknown. Our objective was to compare angiogenic biomarker patterns in high-risk pregnancies and low-risk controls. STUDY DESIGN: We conducted a planned secondary analysis of a 2-center observational study of angiogenic biomarkers in high-risk women. A total of 156 pregnant women with a PE risk factor and 59 low-risk controls were studied. Serial maternal serum samples were collected during 3 gestational windows: 23-27 weeks, 28-31 weeks, and 32-35 weeks. Soluble fms-like tyrosine kinase 1 (sFlt1), soluble endoglin (sEng), and placental growth factor (PlGF) were measured by enzyme-linked immunosorbent assay. Geometric mean angiogenic biomarker levels and angiogenic ratio (sFlt1 + sEng):PlGF were compared with low-risk controls for each risk group, at each gestational window. RESULTS: Gestational biomarker patterns differed in PE risk groups as compared with low-risk controls. Women with multiple gestations had markedly higher sFlt1 and sEng at all gestational windows. Women with prior PE had higher sFlt1 and angiogenic ratio, and lower PlGF, from 28 weeks onward. Women with chronic hypertension had significantly higher angiogenic ratio for all 3 gestational windows, but differences disappeared when women with PE were excluded. Obese and nulliparous women had significantly lower PlGF, but no differences in the angiogenic ratio. CONCLUSION: High-risk groups have altered angiogenic biomarker patterns compared with controls, suggesting that altered production or metabolism of these factors may contribute to PE risk, particularly in women with multiple gestations and prior PE.
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