Gene expression in rat ovaries treated with DHT
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ABSTRACT:
ORGANISM(S): Rattus norvegicus
PROVIDER: GSE59456 | GEO | 2016/01/01
SECONDARY ACCESSION(S): PRJNA255367
REPOSITORIES: GEO
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Project description:Obesity has been linked with a host of metabolic and reproductive disorders including polycystic ovary syndrome (PCOS). While a distinct link exists between obesity and PCOS, the exact pathogenesis of the disease remains less understood and limited research has explored the impact of diet on the development of PCOS. With the primary symptoms of PCOS including hyperandrogenism, anovulation, and polycystic ovaries, most animal models utilize androgen treatment to effectively induce PCOS. However, these models fail to address the underlying causes of disease symptoms and do not effectively demonstrate the metabolic features of the disease such as hyperinsulinemia. Here, we present a novel rodent model of diet-induced obesity that recapitulates both the metabolic and reproductive phenotypes of human PCOS. In utilizing a high-fat high-sugar (HFHS) diet, we have created a model of PCOS that allows for the study of metabolic parameters and their impact on ovarian follicle development and reproductive health. Animals on the HFHS diet not only demonstrated signs of metabolic impairment, but they also developed polycystic ovaries and experienced irregular estrous cycling marked by an extended period spent in estrus. Though hyperandrogenism was not characteristic of HFHS diet animals as a group, testosterone levels were predictive of a polycystic ovarian morphology. Importantly, PCOS was induced similarly to the disease etiology in humans, allowing this model to offer the unique opportunity to study PCOS at its genesis rather than following the development of disease symptoms.
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Project description:Polycystic ovary syndrome (PCOS) is a heterogeneous condition, of polyhedric pathogenesis and clinical presentation, defined by oligo-/anovulation, hyperandrogenism and/or polycystic ovaries. Metabolic complications are highly common also in patients suffering PCOS, including obesity, insulin resistance and type-2 diabetes, which severely compromise the clinical course of affected women. Yet, therapeutic options for PCOS remain mostly symptomatic and of limited efficacy for improving both metabolic and reproductive alterations. We report herein the hormonal, metabolic and gonadal responses to different GLP1-based multi-agonists, namely GLP1/Estrogen (GLP1/E), GLP1/GIP and GLP1/GIP/Glucagon, in two murine models of PCOS, with variable penetrance of metabolic and reproductive traits, and their comparison with metformin. Our data illustrate the superior efficacy of the di-agonist, GLP1/E, vs. other multi-agonists and metformin in the management of the metabolic complications of PCOS; GLP1/E was able to ameliorate also ovarian cyclicity in an ovulatory model of PCOS, without direct estrogenic uterotrophic effects. In keeping with GLP1-mediated brain targeting, label-free, quantitative proteomics revealed changes in common and distinct hypothalamic pathways in response to GLP1/E between the two PCOS models, as basis for differential efficiency. Altogether, our data set the basis for the use of GLP1-based multi-agonists, and particularly GLP1/E, in the personalized management of PCOS.
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Project description:Polycystic ovary syndrome (PCOS), one of the most common endocrinal diseases among reproductive-aged women,is characterized by hyperandrogenemia, chronic oligo/anovulation and polycystic ovarian morphology. In this research, we presented microarrays to identify the differential expressed protein-coding genes and lncRNAs expression profile in the luteinized granulosa cells obtained from PCOS and healthy control patients.
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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.
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Project description:Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder that affects 5-10% of reproductive aged women. The hallmark characteristic of PCOS is increased ovarian androgen synthesis. Previous studies by our laboratory demonstrated that increased androgen synthesis is a stable biochemical phenotype of PCOS theca cells which are the primary source of ovarian androgen production. The increase in theca cell steroidogenesis was due to an increase in expression of several steroidogenic enzymes including CYP17 and CYP11A but not StAR. Interestingly, the anti-epileptic drug valproic acid induces increased theca cell androgen synthesis and increased CYP17 and CYP11A mRNA levels. In this study we have characterized the gene expression profiles of theca cells obtained from normal or polycystic ovaries which were maintained in the absence (UNT) or presence (VPA) of valproic acid. The data identifed new candidate genes and novel signaling pathways which may contribute to the manifestation of PCOS phenotypes including increased androgen production. The experiments in this study were carried using the Affymetrix U133A and U133B oligonucleotide chips.
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