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1.
Mol Biol Rep ; 47(6): 4531-4540, 2020 Jun.
Article in English | MEDLINE | ID: mdl-32472298

ABSTRACT

Down syndrome (DS) is one of the most common causes of intellectual disability and new approaches allowing its rapid and effective prenatal detection are being explored. In this study, we investigated the diagnostic potential of plasma microRNAs (miRNAs). This study builds upon our previous study in DS placentas, where seven miRNAs were found to be significantly up-regulated. A total of 70 first-trimester plasma samples from pregnant women were included in the present study (35 samples with DS fetuses; 35 with euploid fetuses). Genome-wide miRNA profiling was performed in the pilot study using Affymetrix GeneChip™ miRNA 4.1 Array Strips (18 samples). Selected miRNAs were then analysed in the validation study using quantitative reverse transcription PCR (RT-qPCR; 52 samples). Based on the current pilot study results (12 miRNAs), our previous research on chorionic villi samples (7 miRNAs) and the literature (4 miRNAs), a group of 23 miRNAs was selected for the validation study. Although the results of the pilot study were promising, the validation study using the more sensitive RT-qPCR technique and a larger group of samples revealed no significant differences in miRNA profiles between the compared groups. Our results suggest that testing of the first-trimester plasma miRNAs is probably not suitable for non-invasive prenatal testing (NIPT). Different results could be theoretically achieved at later gestational ages; however, such a result probably would have limited use in clinical practice.


Subject(s)
Down Syndrome/genetics , MicroRNAs/genetics , Prenatal Diagnosis/methods , Adult , Female , Fetus/metabolism , Gene Expression/genetics , Gene Expression Profiling/methods , Genome-Wide Association Study/methods , Humans , MicroRNAs/blood , Oligonucleotide Array Sequence Analysis/methods , Pilot Projects , Plasma/chemistry , Pregnancy , Pregnancy Trimester, First/blood , Pregnant Women , Real-Time Polymerase Chain Reaction , Transcriptome/genetics
2.
Prenat Diagn ; 36(8): 775-84, 2016 Aug.
Article in English | MEDLINE | ID: mdl-27323694

ABSTRACT

OBJECTIVE: Molecular pathogenesis of Down syndrome (DS) is still incompletely understood. Epigenetic mechanisms, including miRNAs gene expression regulation, belong to potential influencing factors. The aims of this study were to compare miRNAs expressions in placentas with normal and trisomic karyotype and to associate differentially expressed miRNAs with concrete biological pathways. METHODS: A total of 80 CVS samples - 41 with trisomy 21 and 39 with normal karyotype - were included in our study. Results obtained in the pilot study using real-time PCR technology and TaqMan Human miRNA Array Cards were subsequently validated on different samples using individual TaqMan miRNA Assays. RESULTS: Seven miRNAs were verified as upregulated in DS placentas (miR-99a, miR-542-5p, miR-10b, miR-125b, miR-615, let-7c and miR-654); three of these miRNAs are located on chromosome 21 (miR-99a, miR-125b and let-7c). Many essential biological processes, transcriptional regulation or apoptosis, were identified as being potentially influenced by altered miRNA levels. Moreover, miRNAs overexpressed in DS placenta apparently regulate genes involved in placenta development (GJA1, CDH11, EGF, ERVW-1, ERVFRD-1, LEP or INHA). CONCLUSION: These findings suggest the possible participation of miRNAs in Down syndrome impaired placentation and connected pregnancy pathologies. © 2016 John Wiley & Sons, Ltd.


Subject(s)
Down Syndrome/genetics , Gene Expression Regulation, Developmental/genetics , MicroRNAs/genetics , Placenta/metabolism , Adult , Cadherins/genetics , Case-Control Studies , Chorionic Villi Sampling , Connexin 43/genetics , Down Syndrome/metabolism , Epidermal Growth Factor/genetics , Epigenesis, Genetic , Female , Gene Products, env/genetics , Humans , Inhibins/genetics , Leptin/genetics , MicroRNAs/metabolism , Pilot Projects , Placentation/genetics , Pregnancy , Pregnancy Proteins/genetics , Real-Time Polymerase Chain Reaction , Transcriptome , Up-Regulation
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