MicroRNA expression profiling in placenta and maternal plasma in early pregnancy loss

Hosseini, Mohammad Kazem; Günel, Tuba; Gumusoglu‐Acar, Ece; Benian, Ali; Aydınlı, Kılıç

doi:10.3892/mmr.2018.8530

Cited by 41 publications

(72 citation statements)

References 55 publications

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“…However, some studies have shown that KLF9 has low expression in liver cancer (29) and prostate cancer (30). Hosseini et al (31) found that KLF9 has low expression in infiltrating cell lines and breast cancer tissue, which is consistent with the results of this study. These results indicate that KLF9 plays the role of tumor suppressor gene in the occurrence and progression of tumors.…”

Section: Discussionsupporting

confidence: 92%

Expression of Krüppel-like factor 9 in breast cancer patients and its effect on prognosis

Jiang

et al. 2020

Oncol Lett

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Expression of Krüppel-like factor 9 (KLF9) in breast cancer tissue and its influence on prognosis was investigated. Sixty-eight patients with breast cancer admitted in Ningde Hospital Affiliated to Fujian Medical University from February 2014 to August 2015 were collected, and the expression level of KLF9 in cancerous tissue (n=68) and normal tissue (n=68) of the patients was measured by quantitative real-time PCR (RT-qPCR). The relationship between the expression and clinical pathological features and prognosis of patients was analyzed. The expression level of KLF9 in cancerous tissue was significantly lower than that in normal tissue (P<0.05). The expression in breast cancer tissue was not significantly correlated with age, height, menstrual status, lymph node metastasis or pathological differentiation (P>0.05), but was significantly correlated with tumor size and clinical stage (P<0.05). The 1-, 2-, and 3-year survival rates in the high expression group were significantly higher than those in the low expression group (P<0.001). Univariate Cox regression analysis was carried out according to the 3-year survival of the patients, and the results showed that tumor size (P= 0.009), lymph node metastasis (P= 0.002), pathological differentiation (P=0.015), clinical stage (P=0.013), and KLF9 (P=0.018) were factors affecting the survival of breast cancer patients. Subsequently, multivariate Cox regression analysis of the indicators with differences showed that those indicators were independent predictors of survival of breast cancer patients. In conclusion, KLF9 expression is low in breast cancer tissue, and its expression level is related to tumor size and clinical stage. Moreover, tumor size >5 cm, lymph node metastasis, low pathological differentiation, high clinical stage and low expression of KLF9 are all important factors that cause death of patients.

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Section: Discussionsupporting

confidence: 92%

Expression of Krüppel-like factor 9 in breast cancer patients and its effect on prognosis

Jiang

et al. 2020

Oncol Lett

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“…HHV-6A infection of endometrial cells also induced upregulation of miR424-5p, another member of the "miR15 family" that is known to play a unique role in the placentation process [22], and that is up-modulated in women with RIF [5]; of miR29, a member of the "apoptomir" family, suppressing angiogenesis and invasion in tumors [23] and involved in arterial calcification [24], suggesting that during implantation it might interfere with a correct placental neo-angiogenesis; of miR21-5p, miR145-5p, miR374a-5p, and miR3663-3p, all associated with RIF or early pregnancy loss (EPL) [5,25], and of miR19b-3p, a member of the miR17-92 cluster downregulated in villous samples from women with EPL [26].…”

Section: Discussionmentioning

confidence: 99%

HHV-6A Infection of Endometrial Epithelial Cells Affects miRNA Expression and Trophoblast Cell Attachment

et al. 2020

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We recently reported that human herpesvirus 6 (HHV-6) infection is frequently present in endometrial tissue of women with unexplained infertility, and that virus infection induces a profound remodulation of miRNA expression in human cells of different origin. Since specific miRNA patterns have been associated with specific pregnancy outcomes, we aimed to analyze the impact of HHV-6A infection on miRNAs expression and trophoblast receptivity in human endometrial cells. To this purpose, a human endometrial cell line (HEC-1A) was infected with HHV-6A and analyzed for alterations in the expression of miRNAs and for permissiveness to the attachment of a human choriocarcinoma trophoblast cell line (JEG-3). The results showed that HHV-6A infection of endometrial cells up-modulates miR22 (26-fold), miR15 (19.5-fold), and miR196-5p (12.1 fold), that are correlated with implant failure, and down-modulates miR18 (11.4 fold), miR101-3p (4.6 fold), miR181-5p (4.9 fold), miR92 (3.3 fold), and miR1207-5p (3.9 fold), characterized by a low expression in preeclampsia. Moreover, HHV-6A-infected endometrial cells infected resulted less permissive to the attachment of trophoblast cells. In conclusion, collected data suggest that HHV-6A infection could modify miRNA expression pattern and control of trophoblast cell adhesion of endometrial cells, undermining a correct trophoblast cell attachment on endometrial cells.

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“…long non-coding RNA, miRNA, circular RNA) in the placenta ( Cox et al , 2015 ). Differential placental expression of non-coding RNAs has been investigated in pre-eclampsia ( Gunel et al , 2017 ; Hu et al , 2018a ; Lykoudi et al , 2018 ; Zhou et al , 2018 ), GDM ( Li et al , 2015 ; Wang et al , 2019b ), IUGR or SGA pregnancies ( Wen et al , 2017 ; Ostling et al , 2019 ) and early pregnancy loss ( Hosseini et al , 2018 ). The use of RNA sequencing technologies to further characterize these non-coding RNAs provides a tantalizing approach to identify and develop new biomarkers and therapeutic targets for pregnancy complications.…”

Section: Knowledge Gaps and Future Directionsmentioning

confidence: 99%

Current approaches and developments in transcript profiling of the human placenta

Yong

Chan

2020

Human Reproduction Update

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BACKGROUND The placenta is the active interface between mother and foetus, bearing the molecular marks of rapid development and exposures in utero. The placenta is routinely discarded at delivery, providing a valuable resource to explore maternal-offspring health and disease in pregnancy. Genome-wide profiling of the human placental transcriptome provides an unbiased approach to study normal maternal–placental–foetal physiology and pathologies. OBJECTIVE AND RATIONALE To date, many studies have examined the human placental transcriptome, but often within a narrow focus. This review aims to provide a comprehensive overview of human placental transcriptome studies, encompassing those from the cellular to tissue levels and contextualize current findings from a broader perspective. We have consolidated studies into overarching themes, summarized key research findings and addressed important considerations in study design, as a means to promote wider data sharing and support larger meta-analysis of already available data and greater collaboration between researchers in order to fully capitalize on the potential of transcript profiling in future studies. SEARCH METHODS The PubMed database, National Center for Biotechnology Information and European Bioinformatics Institute dataset repositories were searched, to identify all relevant human studies using ‘placenta’, ‘decidua’, ‘trophoblast’, ‘transcriptome’, ‘microarray’ and ‘RNA sequencing’ as search terms until May 2019. Additional studies were found from bibliographies of identified studies. OUTCOMES The 179 identified studies were classifiable into four broad themes: healthy placental development, pregnancy complications, exposures during pregnancy and in vitro placental cultures. The median sample size was 13 (interquartile range 8–29). Transcriptome studies prior to 2015 were predominantly performed using microarrays, while RNA sequencing became the preferred choice in more recent studies. Development of fluidics technology, combined with RNA sequencing, has enabled transcript profiles to be generated of single cells throughout pregnancy, in contrast to previous studies relying on isolated cells. There are several key study aspects, such as sample selection criteria, sample processing and data analysis methods that may represent pitfalls and limitations, which need to be carefully considered as they influence interpretation of findings and conclusions. Furthermore, several areas of growing importance, such as maternal mental health and maternal obesity are understudied and the profiling of placentas from these conditions should be prioritized. WIDER IMPLICATIONS Integrative analysis of placental transcriptomics with other ‘omics’ (methylome, proteome and metabolome) and linkage with future outcomes from longitudinal studies is crucial in enhancing knowledge of healthy placental development and function, and in enabling the underlying causal mechanisms of pregnancy complications to be identified. Such understanding could help in predicting risk of future adversity and in designing interventions that can improve the health outcomes of both mothers and their offspring. Wider collaboration and sharing of placental transcriptome data, overcoming the challenges in obtaining sufficient numbers of quality samples with well-defined clinical characteristics, and dedication of resources to understudied areas of pregnancy will undoubtedly help drive the field forward.

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MicroRNA expression profiling in placenta and maternal plasma in early pregnancy loss

Cited by 41 publications

References 55 publications

Expression of Krüppel-like factor 9 in breast cancer patients and its effect on prognosis

Expression of Krüppel-like factor 9 in breast cancer patients and its effect on prognosis

HHV-6A Infection of Endometrial Epithelial Cells Affects miRNA Expression and Trophoblast Cell Attachment

Current approaches and developments in transcript profiling of the human placenta

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