Prediction of preeclampsia by analysis of cell-free messenger RNA in maternal plasma

Yuditiya Purwosunu, Akihiko Sekizawa, Shiho Okazaki, Antonio Farina, Noroyono Wibowo, Masamitsu Nakamura, Nicola Rizzo, Hiroshi Saito, Takashi Okai

Research output: Contribution to journalArticlepeer-review

50 Citations (Scopus)

Abstract

Objective: The purpose of this study was to predict the occurrence of preeclampsia in a series of patients at gestational week 15-20 weeks, with the use of a panel of messenger RNA markers. Study Design: Data from 62 patients with preeclampsia who were asymptomatic at the time of blood testing and 310 control subjects were analyzed. Multivariable analysis was performed with discriminant analysis. Results: Univariable analysis identified vascular endothelial growth factor receptor 1 as the marker with the highest detection rate; placenta-specific 1 with the lowest. Mean estimated score for preeclampsia was 9.4 for control subjects and 72.5 for subjects who experienced preeclampsia. A receiver operating characteristic curve that was obtained with the estimated score for preeclampsia as a test variable yielded a detection rate of 84% (95% CI, 71.8-91.5) at a 5% false-positive rate with an area under the curve of 0.927 (P < .001). Again, detection rate and score for each patient for classification as preeclamptic correlated with severity. Conclusion: A panel of messenger RNA is able to detect subjects who will experience preeclampsia.

Original languageEnglish
Pages (from-to)386.e1-386.e7
JournalAmerican Journal of Obstetrics and Gynecology
Volume200
Issue number4
DOIs
Publication statusPublished - Apr 2009

Keywords

  • VEGF
  • cell-free mRNA
  • endoglin
  • plasma RNA
  • prediction
  • preeclampsia

Fingerprint

Dive into the research topics of 'Prediction of preeclampsia by analysis of cell-free messenger RNA in maternal plasma'. Together they form a unique fingerprint.

Cite this