HOTAIR/miR-1277-5p/FBN2 signaling axis is involved in recurrent spontaneous abortion by regulating the growth, migration, and invasion of HTR-8/SVneo cells.

OBJECTIVE: This study aimed to explore the specific pathways by which HOX transcript antisense intergenic RNA (HOTAIR) contributes to the pathogenesis of unexplained recurrent spontaneous abortion (URSA). METHODS: Real-time quantitative PCR (RT-qPCR) was employed to assess the differential expression levels of HOTAIR in chorionic villi tissues from URSA patients and women with voluntarily terminated pregnancies. HTR-8/SVneo served as a cellular model. Knockdown and overexpression of HOTAIR in the cells were achieved through siRNA transfection and pcDNA3.1 transfection, respectively. Cell viability, migration, and invasion were evaluated using cell counting kit-8 (CCK-8), scratch, and Transwell assays, respectively. The interaction among the HOTAIR/miR-1277-5p/fibrillin 2 (FBN2) axis was predicted through bioinformatics analysis and confirmed through in vitro experiments. Furthermore, the regulatory effects of the HOTAIR/miR-1277-5p/FBN2 signaling axis on cellular behaviors were validated in HTR-8/SVneo cells. RESULTS: We found that HOTAIR was downregulated in chorionic villi tissues from URSA patients. Overexpression of HOTAIR significantly enhanced the viability, migration, and invasion of HTR-8/SVneo cells, while knockdown of HOTAIR had the opposite effects. We further confirmed the regulatory effect of the HOTAIR/miR-1277-5p/FBN2 signaling axis in URSA. Specifically, HOTAIR and FBN2 were found to reduce the risk of URSA by enhancing cell viability, migration, and invasion, whereas miR-1277-5p exerted the opposite effects. CONCLUSION: HOTAIR promotes URSA development by targeting inhibition of miR-1277-5p/FBN2 axis.

cfDNA Methylation Profiles and T-Cell Differentiation in Women with Endometrial Polyps.

DNA methylation is a part of the regulatory mechanisms of gene expression, including chromatin remodeling and the activity of microRNAs, which are involved in the regulation of T-cell differentiation and function. However, the role of cfDNA methylation in T-cell differentiation is entirely unknown. In patients with endometrial polyps (EPs), we have found an imbalance of T-cell differentiation and an aberrant cfDNA methylation profile, respectively. In this study, we investigated the relationship between cfDNA methylation profiles and T-cell differentiation in 14 people with EPs and 27 healthy controls. We found that several differentially methylated genes (DMGs) were associated with T-cell differentiation in people with EPs (ITGA2-Naïve CD4, r = -0.560, p = 0.037; CST9-EMRA CD4, r = -0.626, p = 0.017; and ZIM2-CM CD8, r = 0.576, p = 0.031), but not in healthy controls (all p > 0.05). When we combined the patients' characteristics, we found a significant association between ITGA2 methylation and polyp diameter (r = 0.562, p = 0.036), but this effect was lost when adjusting the level of Naïve CD4 T-cells (r = 0.038, p = 0.903). Moreover, the circulating sex hormone levels were associated with T-cell differentiation (estradiol-Naïve CD4, r = -0.589, p = 0.027), and the cfDNA methylation profile (testosterone-ZIM2, r = -0.656, p = 0.011). In conclusion, this study has established a link between cfDNA methylation profiles and T-cell differentiation among people with EPs, which may contribute to the etiology of EPs. Further functional studies are warranted.

A potential prognostic model based on miRNA expression profile in The Cancer Genome Atlas for bladder cancer patients.

BACKGROUND: This study aimed to construct prognostic model by screening prognostic miRNA signature of bladder cancer. METHODS: The miRNA expression profile data of bladder cancer (BC) in The Cancer Genome Atlas (TCGA) were obtained and randomly divided into the training set and the validation set. Differentially expressed miRNAs (DEMs) between BC and normal control samples in the training set were firstly identified, and DEMs related to prognosis were screened by Cox Regression analysis. Then, the MiR Score system was constructed using X-Tile based cutoff points and verified in the validation set. The prognostic clinical factors are selected out by univariate and multivariate Cox Regression analysis. Finally, the mRNAs related to prognosis were screened and the biological pathway analysis was carried out. RESULTS: We identified the 7-miRNA signature was significantly associated with the patient's Overall Survival (OS). A prognostic model was constructed based on the prognostic 7-miRNA signature, and possessed a relative satisfying predicted ability both in the training set and validation set. In addition, univariate and multivariate Cox Regression analysis showed that age, lymphovascular invasion and MiR Score were considered as independent prognostic factors in BC patients. Furthermore, based on MiR Score prognostic model, several differentially expressed genes (DEGs), such as WISP3 and UNC5C, as well as their related biological pathway(s), including cell-cell adhesion and neuroactive ligand-receptor interaction, were considered to be related to BC prognosis. CONCLUSION: The prognostic model which was constructed based on the prognostic 7-miRNA signature presented a high predictive ability for BC.