Literature DB >> 21411543

Progesterone resistance in PCOS endometrium: a microarray analysis in clomiphene citrate-treated and artificial menstrual cycles.

Ricardo F Savaris1, Jeremy M Groll, Steven L Young, Franco J DeMayo, Jae-Wook Jeong, Amy E Hamilton, Linda C Giudice, Bruce A Lessey.   

Abstract

CONTEXT: Polycystic ovary syndrome (PCOS), the most common endocrinopathy of reproductive-aged women, is characterized by ovulatory dysfunction and hyperandrogenism.
OBJECTIVE: The aim was to compare gene expression between endometrial samples of normal fertile controls and women with PCOS. DESIGN AND
SETTING: We conducted a case control study at university teaching hospitals. PATIENTS: Normal fertile controls and women with PCOS participated in the study.
INTERVENTIONS: Endometrial samples were obtained from normal fertile controls and from women with PCOS, either induced to ovulate with clomiphene citrate or from a modeled secretory phase using daily administration of progesterone. MAIN OUTCOME MEASURE: Total RNA was isolated from samples and processed for array hybridization with Affymetrix HG U133 Plus 2 arrays. Data were analyzed using GeneSpring GX11 and Ingenuity Pathways Analysis. Selected gene expression differences were validated using RT-PCR and/or immunohistochemistry in separately obtained PCOS and normal endometrium.
RESULTS: ANOVA analysis revealed 5160 significantly different genes among the three conditions. Of these, 466 were differentially regulated between fertile controls and PCOS. Progesterone-regulated genes, including mitogen-inducible gene 6 (MIG6), leukemia inhibitory factor (LIF), GRB2-associated binding protein 1 (GAB1), S100P, and claudin-4 were significantly lower in PCOS endometrium; whereas cell proliferation genes, such as Anillin and cyclin B1, were up-regulated.
CONCLUSIONS: Differences in gene expression provide evidence of progesterone resistance in midsecretory PCOS endometrium, independent of clomiphene citrate and corresponding to the observed phenotypes of hyperplasia, cancer, and poor reproductive outcomes in this group of women.

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Year:  2011        PMID: 21411543      PMCID: PMC3100753          DOI: 10.1210/jc.2010-2600

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  53 in total

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2.  Gene expression analysis of endometrium reveals progesterone resistance and candidate susceptibility genes in women with endometriosis.

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3.  Molecular phenotyping of human endometrium distinguishes menstrual cycle phases and underlying biological processes in normo-ovulatory women.

Authors:  S Talbi; A E Hamilton; K C Vo; S Tulac; M T Overgaard; C Dosiou; N Le Shay; C N Nezhat; R Kempson; B A Lessey; N R Nayak; L C Giudice
Journal:  Endocrinology       Date:  2005-11-23       Impact factor: 4.736

4.  Expression of the c-erbB-3/HER-3 and c-erbB-4/HER-4 growth factor receptors and their ligands, neuregulin-1 alpha, neuregulin-1 beta, and betacellulin, in normal endometrium and endometrial cancer.

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  35 in total

1.  Mesenchymal stem/progenitors and other endometrial cell types from women with polycystic ovary syndrome (PCOS) display inflammatory and oncogenic potential.

Authors:  T T Piltonen; J Chen; D W Erikson; T L B Spitzer; F Barragan; J T Rabban; H Huddleston; J C Irwin; L C Giudice
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2.  Endometrial progesterone receptor isoforms in women with polycystic ovary syndrome.

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3.  Mig-6 regulates endometrial genes involved in cell cycle and progesterone signaling.

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6.  Endometrial stromal fibroblasts from women with polycystic ovary syndrome have impaired progesterone-mediated decidualization, aberrant cytokine profiles and promote enhanced immune cell migration in vitro.

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Review 7.  Obesity and PCOS: the effect of metabolic derangements on endometrial receptivity at the time of implantation.

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Review 9.  Fertile ground: human endometrial programming and lessons in health and disease.

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10.  Proteome analysis of endometrial tissue from patients with PCOS reveals proteins predicted to impact the disease.

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Journal:  Mol Biol Rep       Date:  2020-10-24       Impact factor: 2.316

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