Publication:
Microrna analysis of human decidua mesenchymal stromal cells from preeclampsia patients

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Kamali Simsek, Nilüfer
Benian, Ali
Çelik, Hale Göksever
Günel, Tuba

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Publication Date

2021

Language

English

Type

Journal Article

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Abstract

Introduction: In preeclampsia (PE), human decidua mesenchymal stromal cells (hDMSCs) are exposed to abnormally high levels of oxidative stress and inflammatory factors circulating in the maternal blood. MicroRNAs (miRNAs) have been shown to have a significant impact on the differentiation, maturation and function of mesenchymal stromal cells (MSCs). Our aim in the present study is firstly to investigate differentially expressed miRNA levels to be used as a biomarker in the early detection of PE and secondly to investigate whether those differentially expressed miRNAs in hDMSCs have an effect on the pathogenesis of PE. Methods: This study covers miRNA expression analysis of hDMSCs from 7 PE patient and 7 healthy pregnant women and is a preliminary study to investigate putative biomarkers. After cell culture and cell sorting, total RNA including miRNAs were isolated from hDMSCs. Let 7b 3p, let 7f 1 3p, miR-191-3p, miR-550a-5p, miR-33b-3p and miR-425-3p were used for miRNA analysis and U6 snRNA was used for normalization of the samples. MiRNA analysis was performed by droplet digital polymerase chain reaction (ddPCR) method and obtained results were evaluated statistically. Results: As a result of the analysis, it was observed that the levels of hsa-miR-33b-3p significantly (AUC: 0.93, p = 0.04, fold change: 4.5) increased in hDMSC of PE patients compared to healthy controls. However, let-7b-3p, let7f-1-3p, miR-191-3p, miR-550a-5p, and miR-425-3p were not considered as significant because they did not meet the p < 0,05 requirement. Discussion: Within the scope of the study, it is predicted that miR-33b-3p (p = 0.004, AUC = 0.93) can be used as a biomarker in detecting PE.

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Source:

Placenta

Publisher:

W B Saunders Co Ltd

Keywords:

Subject

Biology, Obstetrics, Gynecology

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