Prenatal Diagnosis · 2013 · 42 citations · 25 references
MedicineImmunologyObstetricsEarly DetectionMaternal-fetal MedicineReproductive ImmunologyCytokines In ReproductionPregnancyPregnancy DiagnosisPregnancy ImmunologyBiomarkers Of PreeclampsiaEarly Detection Of PreeclampsiaGrowth FactorsImmunological AssaysInflammation-related BiomarkersMultiplexed ImmunoassaysPositive Predictive ValuePreeclampsia Risk Prediction
The study aimed to assess whether growth factors, cardiovascular, and immunological markers can predict early‑onset pre‑eclampsia in the first trimester and to recommend larger cohort validation. Researchers performed a retrospective case‑control study measuring 41 proteins in first‑trimester serum of 35 early‑onset pre‑eclampsia cases and 35 controls using multiplexed immunoassays, converting values to gestation‑specific multiples of median, and applied prediction modelling with established biomarkers to estimate detection rates. Interleukin‑1β significantly improved early‑onset pre‑eclampsia prediction, raising detection from 38.2 % to 44.1 % at a 5 % false‑positive rate, indicating its potential as a first‑trimester biomarker.
This study aimed to determine the predictive value of growth factors, cardiovascular, and immunological markers for first trimester identification of early onset pre-eclampsia (PE).In a retrospective case-control study, maternal serum samples of 35 early onset PE cases and 35 controls were analysed by multiplexed immunoassays, to determine serum concentrations of 41 proteins whose functionality can be associated with PE pathogenesis. All levels were converted into multiples of the gestation-specific normal median. For prediction modelling, proteins that were found to be significant were combined with previously obtained values of three established PE markers, that is, placental growth factor, placental protein 13, and pregnancy-associated plasma protein A. Prediction modelling was used to determine predicted detection rates for 5% and 10% false-positive rates.Three of the proteins examined in this study, interleukin-1 beta (IL-1β), fibrinogen, and carcinoembryonic antigen, showed significantly different serum levels at p < 0.05. In prediction modelling, only IL-1β added predictive value to the three previously established biomarkers, by increasing detection from 38.2% to 44.1% at a 5% false-positive rate.This study indicates that IL-1β has potential to improve first trimester prediction of pre-eclampsia. Studies on larger cohorts will be needed to validate these findings.
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Roberto Romero, Jyh Kae Nien, Jimmy Espinoza et al. · The Journal of Maternal-Fetal & Neonatal Medicine · 2008 · 674 citations · Full text