Back to Search Start Over

Expression profiling of maternal plasma and placenta microRNAs in preeclamptic pregnancies by microarray technology

Authors :
Halil İbrahim Kısakesen
Tuba Gunel
Ali Benian
Kılıç Aydınlı
Ece Gumusoglu
Mohammad Kazem Hosseini
Source :
Placenta. 52:77-85
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

Abstract

Preeclampsia (PE) is one of the leading causes of maternal and fetal morbidity and mortality, occurring usually in the second half of pregnancy and affecting approximately 5–8% of pregnancies in the world. miRNAs play critical role in the regulation of placental development processes. We aimed to determine specific novel miRNAs for early diagnosis of preeclampsia which is one of the most dangerous pregnancy diseases. In this study 72 samples, maternal age 22 ≤ and ≤36, have been analyzed; maternal plasma and placental miRNAs were isolated from 18 severe preeclampsia (sPE) patients and 18 controls, respectively. Profiling of human miRNAs (1368 probe) was performed in samples with Agilent v16 microarrays for detection of the differences in miRNA expression between two groups. The results were validated by using TaqMan RT-qPCR method. The analysis indicated that 406 of these miRNAs in all placentas and 42 of these miRNAs in all maternal plasma were expressed. The relative expression analysis has shown that 12 miRNAs ( p 2-fold) in maternal plasma were differentially expressed in PE and control group. However, five miRNAs were validated by qRT-PCR. Once validated miRNAs have been searched in databases for their target genes and function, it has been shown that there are some preeclampsia related pathways as a target such as angiogenesis, cardiovascular, hypertension, placental abruption and preeclampsia disorders. Differentially expressed and validated plasma miRNAs might be used as notable biomarkers for non-invasive early diagnosis of preeclampsia and treatment of disease.

Details

ISSN :
01434004
Volume :
52
Database :
OpenAIRE
Journal :
Placenta
Accession number :
edsair.doi.dedup.....ba7c108ea04aad3ac5782ba03071aa3c