Project description:Polycystic ovary syndrome (PCOS) is a common disorder encompassing reproductive, metabolic, and endocrine abnormalities, affecting 5 to 10% of women of reproductive age.To reveal the differences in proteomic profiles of follicular fluid between patients with and without PCOS and explore possible mechanisms underlying PCOS.Follicular fluid samples were collected from 9 infertile patients with PCOS and 9 infertile patients without PCOS. Quantitative proteomics analysis based on mass spectrometry was used to measure the protein levels and understand the protein networks. The tandem mass tag (TMT) based proteomics technology and bioinformatics analysis were used to determine the differentially expressed proteins(DEPs). : In this study, we have identified a total of 1216 proteins,these included 70 DEPs, in which 32 proteins were upregulated, and 38 proteins were downregulated. The bioinformatics analyses revealed multiple biological functions associated with these DEPs, some DEPs were enriched in the immune and metabolic-related biological processes in PCOS patients.
Project description:To reveal microRNAs expression differences in cumulus cells between polycystic ovary syndrome (PCOS) and non-PCOS women. miRNAs expression profile of the cumulus cell samples with PCOS and non-PCOS were determined by Affymetrix miRNA 2.0.
Project description:Objective: The etiology of PCOS is mostly unknown. Existing data support both genetic and environmental factors in its pathogenesis. Design: Prospective case - control study. Setting: University Hospital. Patients: 25 patients undergoing IVF-ICSI treatment. Intervention: Genome-wide oligonucleotide microarray technology was used to study differential gene-expression patterns of cultured human cumulus cells from IVF patients divided into 4 groups according to disease state (PCOS vs. Control) and BMI (Obese vs. Lean). Results: Two differential PCOS gene expression profiles were established: Lean-Type was formed by comparing PCOS lean (PL) vs. non-PCOS lean (NL) individuals; Obese-Type was formed by comparing PCOS obese (PO) vs. non-PCOS (NO) obese patients. Conclusions: Different molecular pathways are associated with PCOS in Lean and Obese individuals, as demonstrated by gene expression profiling of cumulus cells. Our findings provide insights into the molecular pathogenesis of PCOS. We used microarrays to study the gene expression of human cultured cumulus cells. We compared the genes expression of lean PCOS, Obese PCOS, lean controls and obese controls. Different molecular pathways are associated with PCOS in Lean and Obese patients. Experiment Overall Design: Cumulus cells obtained from woman undergoing IVF/ICSI. Following oocyte retrieval, cumulus cells were stripped from the oocyte, in preparation for the ICSI process, with a micropipette. After 48h in culture the cumulus cells were collected for RNA extraction and hybridization on Affymetrix microarrays. We compered the expression profile of 4 groups - lean PCOS, obese PCOS, lean controls and obese controls.
Project description:To identify the altered miRNA expression profiles of PCOS patients, the differentially expressed miRNAs were identified from cumulus cells of PCOS patients by comparing to that of normal women. Case-control study that involved 18 women with PCOS and 18 women without PCOS (control). The miRNA expression profiles of cumulus cells were identified by miRNA array.
Project description:CONTEXT: The polycystic ovary syndrome (PCOS) is frequently associated with visceral obesity, suggesting that omental adipose tissue might play an important role in the pathogenesis of the syndrome. OBJECTIVE: The objective was to study the expression profiles of omental fat biopsy samples obtained from morbidly obese women with or without PCOS at the time of bariatric surgery. DESIGN: This was a case-control study. SETTINGS: We conducted the study in an academic hospital. PATIENTS: Eight PCOS patients and seven nonhyperandrogenic women submitted to bariatric surgery because of morbid obesity. INTERVENTIONS: Biopsy samples of omental fat were obtained during bariatric surgery. MAIN OUTCOME MEASURE: The main outcome measure was high-density oligonucleotide arrays. RESULTS: After statistical analysis, we identified changes in the expression patterns of 63 genes between PCOS and control samples. Gene classification was assessed through data mining of Gene Ontology annotations and cluster analysis of dysregulated genes between both groups. These methods highlighted abnormal expression of genes encoding certain components of several biological pathways related to insulin signaling and Wnt signaling, oxidative stress, inflammation, immune function, and lipid metabolism, as well as other genes previously related to PCOS or to the metabolic syndrome. CONCLUSION: The differences in the gene expression profiles in visceral adipose tissue of PCOS patients compared with nonhyperandrogenic women involve multiple genes related to several biological pathways, suggesting that the involvement of abdominal obesity in the pathogenesis of PCOS is more ample than previously thought and is not restricted to the induction of insulin resistance.
Project description:To identify the altered miRNA expression profiles of PCOS patients, the differentially expressed miRNAs were identified from cumulus cells of PCOS patients by comparing to that of normal women.
Project description:Our study is the first one to determine genome-wide lncRNAs expression patterns in cumulus cells of PCOS patients by microarray. The results displayed that clusters of lncRNAs (n=623) were aberrantly expressed in PCOS patients compared with non-PCOS patients. Many differentially expressed lncRNAs were transcribed from regions on chromosome 2 and classified into enhancer-like lncRNA subgroup. XLOC_011402 (PWRN2) was found for the first time that it was not only expressed in testis but also in cumulus cells. All the results revealed that lncRNAs differentially expressed in cumulus cells may exert a partial or key role in hormone abnormalities of PCOS patients and maybe impact on oocyte development. Taken together, this study may provide potential targets for further treatment of PCOS and novel insights into oocyte development.