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

53 Citations (Scopus)


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
Issue number4
Publication statusPublished - 04-2009
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Obstetrics and Gynaecology


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