Role of miR-139-5p in ectopic endometrial stromal cells and the underlying molecular mechanism

Overexpression of hsa_circ_0001861 inhibits pulmonary fibrosis through targeting miR-296-5p/BCL-2 binding component 3 axis

Pulmonary fibrosis is a progressive lung disorder. Evidence has shown that hsa_circular (circ)RNA_0001861 is dysregulated in pulmonary fibrosis. However, the detailed function of hsa_circRNA_0001861 in pulmonary fibrosis remains unexplored. To investigate the function of hsa_circRNA_0001861 in pulmonary fibrosis, human pulmonary fibroblasts in vitro were used, and cell counting kit-8 (CCK-8) and 5-ethynyl-2'-deoxyuridine (EdU) staining were performed to assess cell viability and proliferation, respectively. Western blot analysis and reverse transcription-quantitative PCR (RT-qPCR) were used to evaluate protein and mRNA levels. Meanwhile, the relationship among hsa_circRNA_0001861, miR-296-5p and BCL-2 binding component 3 (BBC3) was investigated by RNA pull-down assays. Furthermore, an in vivo model of lung fibrosis was constructed to assess the function of hsa_circRNA_0001861 in lung fibrosis. The data revealed that TGF‑β1 significantly increased the proliferation of pulmonary fibroblasts, while this phenomenon was markedly abolished by hsa_circRNA_0001861 overexpression. hsa_circRNA_0001861 overexpression markedly inhibited TGF‑β1‑induced fibrosis in pulmonary fibroblasts through the mediation of α-smooth muscle actin, E-cadherin, collagen III and fibronectin 1. Meanwhile, hsa_circRNA_0001861 could bind with miR-296-5p, and BBC3 was identified to be the downstream mRNA of miR-296-5p. In addition, the upregulation of hsa_circRNA_0001861 clearly reversed TGF‑β1‑induced fibrosis and proliferation in pulmonary fibroblasts through the upregulation of BBC3. Furthermore, hsa_circRNA_0001861 upregulation markedly alleviated pulmonary fibrosis in vivo. Hsa_circRNA_0001861 upregulation attenuated pulmonary fibrosis by modulating the miR-296-5p/BBC3 axis. Hence, the present study may provide some insights for the discovery of new methods against pulmonary fibrosis.

Molecular Mechanisms of Endometriosis Revealed Using Omics Data

Endometriosis is a gynecological disorder prevalent in women of reproductive age. The primary symptoms include dysmenorrhea, irregular menstruation, and infertility. However, the pathogenesis of endometriosis remains unclear. With the advent of high-throughput technologies, various omics experiments have been conducted to identify genes related to the pathophysiology of endometriosis. This review highlights the molecular mechanisms underlying endometriosis using omics. When genes identified in omics experiments were compared with endometriosis disease genes identified in independent studies, the number of overlapping genes was moderate. However, the characteristics of these genes were found to be equivalent when functional gene set enrichment analysis was performed using gene ontology and biological pathway information. These findings indicate that omics technology provides invaluable information regarding the pathophysiology of endometriosis. Moreover, the functional characteristics revealed using enrichment analysis provide important clues for discovering endometriosis disease genes in future research.

MicroRNAs and Progesterone Receptor Signaling in Endometriosis Pathophysiology

Endometriosis is a significant disease characterized by infertility and pelvic pain in which endometrial stromal and glandular tissue grow in ectopic locations. Altered responsiveness to progesterone is a contributing factor to endometriosis pathophysiology, but the precise mechanisms are poorly understood. Progesterone resistance influences both the eutopic and ectopic (endometriotic lesion) endometrium. An inability of the eutopic endometrium to properly respond to progesterone is believed to contribute to the infertility associated with the disease, while an altered responsiveness of endometriotic lesion tissue may contribute to the survival of the ectopic tissue and associated symptoms. Women with endometriosis express altered levels of several endometrial progesterone target genes which may be due to the abnormal expression and/or function of progesterone receptors and/or chaperone proteins, as well as inflammation, genetics, and epigenetics. MiRNAs are a class of epigenetic modulators proposed to play a role in endometriosis pathophysiology, including the modulation of progesterone signaling. In this paper, we summarize the role of progesterone receptors and progesterone signaling in endometriosis pathophysiology, review miRNAs, which are over-expressed in endometriosis tissues and fluids, and follow this with a discussion on the potential regulation of key progesterone signaling components by these miRNAs, concluding with suggestions for future research endeavors in this area.

Effect of miR-196a2 rs11614913 Polymorphism on Cancer Susceptibility: Evidence From an Updated Meta-Analysis

Background:MiR-196a2 rs11614913 polymorphism has been studied in a wide range of cancers throughout the years. Despite a large number of epidemiological studies performed in almost all ethnic populations, the contribution of this polymorphism to cancer risk is still inconclusive. Therefore, this updated meta-analysis was performed to estimate a meticulous correlation between miR-196a2 rs11614913 variant and cancer susceptibility. Methods: A systematic study search was carried out using PubMed, ScienceDirect, CNKI, EMBASE, Scopus, and Google Scholar databases following PRISMA guidelines to find necessary literature up to December 15, 2021. Pooled odds ratios with corresponding 95% confidence intervals were estimated using RevMan 5.4 based on ethnicities, cancer types, control sources, and genotyping methods. Results: A total of 152 studies, including 120 135 subjects (53 818 patients and 66 317 controls; 140 studies, after removing studies that deviated from HWE: 51 459 cases and 62 588 controls), were included in this meta-analysis. Quantitative synthesis suggests that the miR-196a2 rs11614913 genetic variant is significantly correlated with the reduced risk of overall cancer in CDM2, CDM3, RM, and AM (odds ratio < 1 and P < .05). It is also observed from ethnicity-based subgroup analysis that rs11614913 polymorphism is significantly (P < .05) linked with cancer in the Asian (in CDM2, CDM3, RM, AM) and the African population (in CDM1, CDM3, ODM). Stratified analysis based on the cancer types demonstrated a significantly decreased correlation for breast, hepatocellular, lung, and gynecological cancer and an increased association for oral and renal cell cancer. Again, the control population-based subgroup analysis reported a strongly reduced correlation for HB population in CDM2, RM, and AM. A substantially decreased risk was also observed for other genotyping methods in multiple genetic models. Conclusions:MiR-196a2 rs11614913 variant is significantly correlated with overall cancer susceptibility. Besides, rs11614913 is correlated with cancer in Asians and Africans. It is also correlated with breast, gynecological, hepatocellular, lung, oral, and renal cell cancer.