Identification of candidate microRNA biomarkers of endometriosis in different bodily fluids
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo Sapiens
SUBMITTER: 
Jinhua Leng
PROVIDER: PXD070868 | iProX | Mon Nov 17 00:00:00 GMT 2025
REPOSITORIES: iProX
Publications
Identification of candidate microRNA biomarkers of endometriosis in different bodily fluids.
Lyu Shiqing S Li Qiutong Q Gu Zhiyue Z Yan Hailan H Tang Xinyue X Dai Yi Y Li Xiaoyan X Wu Yushi Y Zhang Chenyu C Xu Yiyao Y Li Yuanyuan Y Hu Yao Y Wong Wing Hing WH Yu Yanqin Y Lu Shen S Bischoff Farideh Z FZ Leng Jinhua J Shi Jinghua J
Scientific reports 20260125 1
Similar Datasets
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:This project aims at comparing endometrium from women with and without endometriosis during the secretory phase of menstrual cycle. The present results constitute a first step towards identifying potential diagnosis biomarkers and may provide a better understanding of endometriosis especially the etiology of the disease.
2022-04-01 | PXD012981 | Pride
Project description:Eutopic endometrium in endometriosis has molecular evidence of resistance to progesterone (P4) and activation of the PKA pathway in the stromal compartment. To investigate global and temporal responses of eutopic endometrium to P4, we compared early (6-h), intermediate (48-h), and late (14-day) transcriptomes, signaling pathways, and networks of human endometrial stromal fibroblasts (hESFs) from women with endometriosis (hESFendo) to hESFs from women without endometriosis (hESFnonendo). Endometrial biopsy samples were obtained from subjects with and without mild peritoneal endometriosis (n = 4 per group), and hESFs were isolated and treated with P4 (1 μM) plus estradiol (E2) (10 nM), E2 alone (10 nM), or vehicle for up to 14 days. Total RNA was subjected to microarray analysis using a Gene 1.0 ST (Affymetrix) platform and analyzed by using bioinformatic algorithms, and data were validated by quantitative real-time PCR and ELISA. Results revealed unique kinetic expression of specific genes and unique pathways, distinct biological and molecular processes, and signaling pathways and networks during the early, intermediate, and late responses to P4 in both hESFnonendo and hESFendo, although a blunted response to P4 was observed in the latter. The normal response of hESF to P4 involves a tightly regulated kinetic cascade involving key components in the P4 receptor and MAPK signaling pathways that results in inhibition of E2-mediated proliferation and eventual differentiation to the decidual phenotype, but this was not established in the hESFendo early response to P4. The abnormal response of this cell type to P4 may contribute to compromised embryonic implantation and infertility in women with endometriosis. We compared early (6-h), intermediate (48-h), and late (14-day) in vitro whole-genome responses of hESF from women with endometriosis (hESFendo) to hESF from women without endometriosis (hESFnonendo) treated with P4 plus E2 (E2P4), E2 alone, or vehicle alone. Using this experimental paradigm, the data demonstrate unique phenotypes, gene expression processes, biochemical and signaling pathways, and networks suggestive of early, intermediate, and late responses of hESFnonendo and hESFendo to P4, giving insights into the complexity of events occurring normally in response to P4 and in the setting of endometriosis.
2012-01-24 | E-GEOD-35287 | biostudies-arrayexpress
Project description:The transition of regularly cycling endometrium from the proliferative or Estrogen-dominant phase of the menstrual cycle to the Progesterone-dominant Early and Mid Secretory phases requires wide-spread changes in gene expression that shift the endometrium from a proliferative capacity to a differentiated 'decidual' phenotype in preparation for implantation. This process appears delayed in women with severe endometriosis, suggestive of a progesterone resistant endometrium in this disease. Experiment Overall Design: Endometrial biopsies were obtained from women both with normal endometrial pathologies and no history of endometriosis and from women with laporoscopy proven moderate-severe stage endometriosis. Samples were collected from the Proliferative(PE), Early Secretory (ESE) and Midsecretory (MSE) phases. Samples were then processed for Total RNA isolation and Affymetrix chip hybridization.
2008-04-09 | E-GEOD-6364 | biostudies-arrayexpress
Project description:Endometriosis is a common, chronic inflammatory condition that frequently results in pain and infertility and is estimated to affect 6–10% of women of reproductive age. However, the mechanisms underlying the induction of inflammation in endometriosis remain unclear. Here, we identified that ectopic endometrial T-cell-derived active interleukin (IL)-16 acts as an inflammation-driving cytokine in endometriosis. Furthermore, we found that in ectopic endometrial T cells, the activation of IL-16 requires iron overload-induced caspase-3 activity and that the release of active IL-16 is reliant on GSDME-mediated pyroptosis. These observations suggest that active IL-16 may represent a promising target in the treatment of endometriosis.
2024-04-10 | GSE229735 | GEO
Project description:Introduction: Endometriosis is a debilitating condition where endometrial-like tissue grows outside the uterus and rarely in distant sites such as the lungs, heart and brain. Symptoms are severe chronic pain, bladder/bowel problems, painful sex and infertility. Differences in endometrium between women with and without endometriosis have not been constructive, and there is still paucity in its pathogenesis and non-invasive diagnostic test, leading to delayed diagnosis (~10 years) and effective treatment. Menstrual fluid (MF) gives a peak into endometrial health. Could MF extracellular vesicles (EVs) point to the pathogenesis and a non-invasive diagnostic tool for endometriosis? Aims: To identify differences in protein-cargo in MF-EVs from women with and without endometriosis, define their functional contribution to mesothelial niche cells for lesion establishment and determine whether MF-sEV can be a non-invasive endometriosis diagnostic tool. Methods: MF was collected from women with and without endometriosis on day 2 of menses and EVs isolated using differential centrifugation. MF-EVs were identified by size, morphology and protein markers and subjected to TMT- quantitative proteomics assay. Differentially expressed proteins were analysed. Ctrl and Endo MF-sEV were co-cultured with mesothelial cells to assess for uptake and changes in the adhesive and junctional proteins. Results: Spherical-shaped MF-EVs were identified with mean diameters of 121.9 nm (Endo) and 123.8 nm (Ctrl), expressing TSG101, Alix and Syntenin-1 sEV proteins. MF-sEV proteins originated from endometrial cells: stem cells, leucocytes, and endothelial and smooth muscle cells, validating the endometrial origin of the MF-EVs. 77% of identified proteins were differentially expressed. In endo-MF-sEV, proteins regulating HGF receptor (anoikis), cellular senescence and multiple apoptotic, nitrogen compound metabolic processes and TRP channels signalling (immunity and contraction regulation) were decreased, potentially promoting lesion establishment, survival and pain. Similarly, antibacterial peptides (cathelicidin, mucin-1, lipocalin2 and serum amyloid A) were downregulated. The majority of proteins were significantly downregulated in endometriosis suggesting a dysregulation in the protein synthesis and cellular communication for homeostasis. Two-thirds of upregulated proteins were immunoglobulins indicating inflammatory pathogenesis. This was reflected by an increased Endo-MF-EVs uptake by mesothelial cells, with decreased scribble resulting in decreased cellular resistance and permeability. Conclusions: MF-EVs contain vital information indicative of endometriosis pathogenesis and may be the key to developing a simple and early diagnostic tool.
2025-05-06 | PXD042101 | Pride
Project description:RNA sequencing was conducted for RNA expression profiling from GCs of five women with ovarian endometriosis and five with tubal factor infertility. The differential expression of mRNAs, lncRNAs, and circRNAs was compared. Then, the lncRNA-miRNA-mRNA and circRNA-miRNA-mRNA networks were constructed by co-expressing lncRNA/circRNA and mRNAs.
2024-12-25 | GSE192636 | 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
Project description:Endometriosis is characterized by progesterone resistance and is associated with infertility. Krüppel-like Factor 9 (KLF9) is a progesterone receptor (PGR)-interacting protein, and mice null for Klf9 are subfertile. Whether loss of KLF9 contributes to progesterone resistance of eutopic endometrium of women with endometriosis is unclear. The aim of this study was to investigate KLF9 and PGR co-regulation of human endometrial stromal cell (HESC) transcriptome network.
2012-04-04 | GSE31683 | GEO
Project description:Endometriosis is a common disease seen by gynecologists. Clinical features involve pelvic pain and unexplained infertility. Although endometriosis is pathologically characterized by endometrial tissue outside the normal uterine location, endometriosis is otherwise not easily explained. Endometriomas, endometriotic cysts of the ovary, typically cause pain and distortion of pelvic anatomy. To begin to understand the pathogenesis of endometriomas, we carried out transcriptome:microRNAome analysis of endometriomas and eutopic endometrium, using gene expression arrays and next generation small RNA sequencing technology. Keywords: two group comparison Patients undergoing surgery for endometriomas, suspected endometriosis, pelvic pain, abnormal uterine bleeding, pelvic organ prolapse, or uterine leiomyomas were approached for participation. After informed consent, the patients underwent scheduled surgical procedure. Tissues were collected either as cyst wall of endometrioma or endometrial curettage of hysterectomy specimen and placed directly into RNALater (Ambion, Austin, TX) and eventually frozen at -80?C. Samples were designated as endometriomas or non-endometriosis control endometrium based on surgical pathology reports. Total RNA was isolated from frozen tissue. High quality RNA was subjected to Illumina’s Human WG-6 version 2.0 BeadChips (Illumina). . *** This Series represents the transcriptome component of the study. ***
2011-05-09 | E-GEOD-23339 | biostudies-arrayexpress