Exosomal microRNAs in tubal fluid may be involved in tubal epithelial structure damage and reproductive dysfunction associated with tubal endometriosis.
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ABSTRACT:
PROVIDER: PRJNA911322 | ENA |
REPOSITORIES: ENA
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Project description:Endometriosis (EM) is a well-recognized disease that causes infertility in women of reproductive age. Tubal EM adversely affects fallopian tube function and female reproductive outcomes. Our study aimed to evaluate the effect of tubal EM on tubal epithelial ultrastructure and to explore the possible mechanisms of tubal infertility by analyzing the differential expression of exosomal microRNAs (miRNAs) in tubal fluid. We obtained human fallopian tube epithelium and tubal fluid samples from patients with and without tubal EM. We used scanning electron microscopy (SEM) and transmission electron microscopy (TEM) to assess ultrastructural changes. Exosomal miRNAs in tubal fluid were extracted for microarray. We visualized epithelial damage in the tubal EM group using electron microscopy. The number of organelles decreased, and organelle structure was destroyed. A total of 14 differentially expressed exosomal miRNAs were detected in tubal fluid (fold change >2 and P value <0.05). Four miRNAs (miR-1273f, miR-5699-5p, miR-6087, miR-6747-5p) were validated by quantitative real-time polymerase chain reaction (qRT-PCR). Bioinformatic analysis showed that most of the target genes participated in embryo transport, regulation of cell communication, anatomical structure morphogenesis, and immune system processes. We verified that tubal EM damaged the tubal epithelial ultrastructure in human specimens and identified differentially expressed exosomal miRNAs in tubal liquid. These findings may elucidate the pathogenesis of tubal EM-associated infertility.
2023-06-22 | GSE220787 | GEO
Project description:Analysis of lncRNA expression in endometriosis infertility, tubal disease infertility and normal subjects
| PRJNA1090075 | ENA
Project description:We found differential expression of lncRNA in the endometrium of patients with endometriosis compared to controls.
2024-03-23 | GSE262037 | GEO
Project description:<p><strong>BACKGROUND:</strong> Endometriosis is a common benign gynaecological disorder. A number of studies have confirmed that the occurrence of disease in endometriosis patients is associated with metabolic changes in biological fluids and tissues. We set out to investigate the metabolic characteristics of follicular fluid in patients with ovarian endometriosis undergoing in vitro fertilization (IVF).</p><p><strong>METHODS:</strong> The current research project is an exploratory cohort study on endometriosis. A total of 19 infertile patients with ovarian endometriosis diagnosed by laparoscopy were enrolled in this study and 23 age- and BMI-matched controls (women with infertility due to male or tubal factors). All the patients underwent IVF treatment with a gonadotropin-releasing hormone antagonist protocol and completed follicular fluid (FF) collection at oocyte retrieval. The metabolomics of FF samples was analyzed by ultra high performance liquid chromatography-orbitrap exploris-mass spectrometer (UHPLC-OE-MS). The best combination of biomarkers was then selected by performing stepwise logistic regression analysis with backward elimination. </p><p><strong>RESULTS:</strong> Fifteen metabolites were identified as biomarkers associated with endometriosis. A final model containing 8-hydroxy-2-deoxyguanosine, biotin, n-acetyl-L-methionine and n-methylnicotinamide was constructed. Receiver operating characteristic analysis confirmed the value of these parameters in diagnosing endometriosis, with a sensitivity of 94.7% and a specificity of 95.7%. Analysis of fortification via the Kyoto Encyclopedia of Genes and Genome showed that 15 metabolites were enriched in 8 metabolic pathways.</p><p><strong>CONCLUSION:</strong> Metabolomics based on UHPLC-OE-MS effectively characterized the metabolomics analysis of FF in patients with ovarian endometriosis. These findings may provide a new basis for a better understanding of how diseases progress and for the discovery of new biomarkers. </p>
2024-02-20 | MTBLS8621 | MetaboLights
Project description:We performed gene expression analysis human peritoneal endometriosis lesions, eutopic endometrium from endometriosis patients and peritoneum form endometriosis patients.The goal of the study was to analyse gene expression differences between peritoneal endometriosis lesion and eutopic endometrium and peritoneal endometriosis lesion and peritoneum.
2012-12-06 | E-MTAB-694 | biostudies-arrayexpress
Project description:We collected ovarian follicle fluids from 68 patients and assigned them to good group or bad group according to their oocyte quality. The exosomes were isolated and characterized. Exosomal microRNAs were extracted, the library was constructed and sequenced by Illumina hiseq platform. The exosomal microRNA expression was analyzed and profiled, the target genes were predicted, GO terms were enriched by GOSeq and KEGG pathway was analyzed using miranda.A total of 47 differential microRNAs was expressed significantly between good and bad group, of which 9 microRNAs were known microRNAs and 7 of them was upregulated in the bad group. In-silico analysis indicated that several of these exosomal microRNAs were involved in pathways implicated in oocyte quality.Our study suggests that exosomal microRNAs in ovarian follicle fluid are critical in maintaining the oocyte quality. Our study greatly improve our understanding of exosomal microRNAs in human ovarian follicular fluid, paving the way for further investigation on the microRNA functions in the ovarian microenvironment and the mechanism behind it.
2020-07-21 | GSE154740 | GEO
Project description:Purpose: This study was undertaken to evaluate the effect of peritoneal fluid from subjects with differing stages of endometriosis on gene expression in endometrial stromal cells. Methods: Peritoneal fluid from subjects with minimal, moderate, and severe stages of endometriosis or without endometriosis (controls) was collected, filtered and separated from peritoneal cells. Telomerase – immortalized human endometrial stromal cells (T-HESC) were treated with the peritoneal fluid samples for 48 hours. RNA was isolated from treated cells and processed for DNA microarray. Results: 162 genes were found to be differentially expressed in T-HESC cells treated with peritoneal fluid from subjects with differing stages of endometriosis. Three of the differentially expressed genes were chosen for confirmatory studies using quantitative RT-PCR; these were interleukin 8, corin and matrix metalloproteinase 3. The primary gene ontologies identified by microarray highlight functions expected to be involved in the establishment of endometriosis, such as proteases, signal transduction, defense and immune system, cell adhesion, cell cycle and cell death, cytoskeleton, transcriptional regulation and translation, extracellular matrix, and enzymes and metabolism. Conclusions: This study demonstrated that the severity of endometriosis affected the factors present in peritoneal fluid which, in turn, affected gene expression in endometrial stromal cells.
2019-07-01 | GSE101176 | GEO
Project description:The study profiles endometrial samples from donors in reproductive age with and without endometriosis collected either during natural cycles or under exogenous hormonal treatment. Samples where profiled either with single-cell RNA sequencing (scRNA-seq) or single-nuclei RNA sequencing (snRNA-seq) using 10x technology.
2024-05-22 | E-MTAB-14039 | biostudies-arrayexpress
Project description:The objectives of the study: 1. Does the phase of the menstrual cycle alter microRNA (miRNA) plasma profiles in healthy women of reproductive age and in women with endometriosis? 2. Does this alter prospects for development of a miRNA-based diagnostic test for endometriosis?
2013-05-09 | GSE46735 | GEO
Project description:Endometriosis, an estrogen-dependent, progesterone-resistant, inflammatory disorder affects 10% of reproductive-age women. It is diagnosed and staged at surgery, resulting in an 11-year latency from symptom onset to diagnosis, underscoring the need for less invasive, less expensive approaches. Since the uterine lining (endometrium) in women with endometriosis has altered molecular profiles, we tested whether molecular classification of this tissue can distinguish and stage disease. We developed classifiers using genomic data from n=148 archived endometrial samples from women with endometriosis or without endometriosis (normal controls or with other common uterine/pelvic pathologies) across the menstrual cycle and evaluated their performance on independent sample sets. Classifiers were trained separately on samples in specific hormonal milieu, using margin tree classification, and accuracies were scored on independent validation samples. Classification of samples from women with endometriosis or no endometriosis involved two binary decisions each based on expression of specific genes. These first distinguished presence or absence of uterine/pelvic pathology and then no endometriosis from endometriosis, with the latter further classified according to severity (minimal/mild or moderate/severe). Best performing classifiers identified endometriosis with 90-100% accuracy, were cycle phase-specific or independent, and utilized relatively few genes to determine disease and severity. Differential gene expression and pathway analyses revealed immune activation, altered steroid and thyroid hormone signaling/metabolism and growth factor signaling in endometrium of women with endometriosis. Similar findings were observed with other disorders versus controls. Thus, classifier analysis of genomic data from endometrium can detect and stage pelvic endometriosis with high accuracy, dependent or independent of hormonal milieu. We propose that limited classifier candidate-genes are of high value in developing diagnostics and identifying therapeutic targets. Discovery of endometrial molecular differences in the presence of endometriosis and other uterine/pelvic pathologies raises the broader biological question of their impact on the steroid hormone response and normal functions of this tissue. We analyzed endometrial samples from n=148 women without or with endometriosis and/or other uterine/pelvic pathologies, using whole genome microarrays.
2014-10-01 | E-GEOD-51981 | biostudies-arrayexpress