<abstract xmlns="http://www.w3.org/1999/xhtml"><bold>Objective</bold>: the pourpose of the study was to determine if there are any differences between placenta derived plasmatic levels of messenger RNA in normal and future preeclamptic pregnancies and if these placental transcripts can predict preeclampsia long before clinical onset<bold>Study design</bold>: we compared plasmatic expression of two placental transcripts from 12 women who ultimately developed preeclampsia with 224 controlled subjects, at the end of the first trimester of pregnancy. After multiplse-of-the-median conversion of markers we developed a multivariate model using logistic regression to determine preeclampsia risk.<bold>Results</bold>: we found lower multiples of the median values for both placental transcripts (mRNA corresponding to placental growth factor and pregnancy associated plasmatic protein A) in cases who ultimately developed preeclampsia and the multivariate model we obtained offered a preeclampsia detection rate of 75% at 10% false positive rate.<bold>Conclusion</bold>: specific early changes of placenta-derived messenger RNA could be used as preeclampsia predictors.</abstract>

Objective: the pourpose of the study was to determine if there are any differences between placenta derived plasmatic levels of messenger RNA in normal and future preeclamptic pregnancies and if these placental transcripts can predict preeclampsia long before clinical onsetStudy design: we compared plasmatic expression of two placental transcripts from 12 women who ultimately developed preeclampsia with 224 controlled subjects, at the end of the first trimester of pregnancy. After multiplse-of-the-median conversion of markers we developed a multivariate model using logistic regression to determine preeclampsia risk.Results: we found lower multiples of the median values for both placental transcripts (mRNA corresponding to placental growth factor and pregnancy associated plasmatic protein A) in cases who ultimately developed preeclampsia and the multivariate model we obtained offered a preeclampsia detection rate of 75% at 10% false positive rate.Conclusion: specific early changes of placenta-derived messenger RNA could be used as preeclampsia predictors.

Early changes of placenta-derived messenger RNA in maternal plasma – potential value for preeclampsia prediction?

1. Department of Mother and Child, “Iuliu Hatieganu” University of Medicine and Pharmacy

2. Department of Cell and Molecular Biology, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania

3. Depatment of Statistics, Forecasting, Mathematics, Faculty of Economics and Business, “Babes-Bolyai” University, Cluj-Napoca, Romania

Revista Romana de Medicina de Laborator

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Modificările precoce ale ARN-ului mesager de origine placentară în plasma maternă – potențiala valoare în predicția preeclampsiei?

Objective: the pourpose of the study was to determine if there are any differences between placenta derived plasmatic levels of messenger RNA in normal and...

Early changes of placenta-derived messenger RNA in maternal plasma – potential value for preeclampsia prediction?

Online veröffentlicht: 30. Dez. 2015

Seitenbereich: 431 - 438

Eingereicht: 15. März 2015

Akzeptiert: 29. Sept. 2015

DOI: https://doi.org/10.1515/rrlm-2015-0042

Schlüsselwörter
messenger RNA, nucleic acids, pregnancy, preeclampsia, prediction

© 2015 Sebastian Surugiu et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Early changes of placenta-derived messenger RNA in maternal plasma – potential value for preeclampsia prediction?

Online veröffentlicht: 30. Dez. 2015

Seitenbereich: 431 - 438

Eingereicht: 15. März 2015

Akzeptiert: 29. Sept. 2015

DOI: https://doi.org/10.1515/rrlm-2015-0042

Schlüsselwörtermessenger RNA, nucleic acids, pregnancy, preeclampsia, prediction

© 2015 Sebastian Surugiu et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
messenger RNA, nucleic acids, pregnancy, preeclampsia, prediction