Distribution and function of 3',5'-Cyclic-AMP phosphodiesterases in the human ovary.

The concentration of the important second messenger cAMP is regulated by phosphodiesterases (PDEs) and hence an attractive drug target. However, limited human data are available about the PDEs in the ovary. The aim of the present study was to describe and characterise the PDEs in the human ovary. Results were obtained by analysis of mRNA microarray data from follicles and granulosa cells (GCs), combined RT-PCR and enzymatic activity analysis in GCs, immunohistochemical analysis of ovarian sections and by studying the effect of PDE inhibitors on progesterone production from cultured GCs. We found that PDE3, PDE4, PDE7 and PDE8 are the major families present while PDE11A was not detected. PDE8B was differentially expressed during folliculogenesis. In cultured GCs, inhibition of PDE7 and PDE8 increased basal progesterone secretion while PDE4 inhibition increased forskolin-stimulated progesterone secretion. In conclusion, we identified PDE3, PDE4, PDE7 and PDE8 as the major PDEs in the human ovary.

Impact of PCOS on early embryo cleavage kinetics.

This study investigated whether polycystic ovary syndrome (PCOS) affected early embryo development assessed by time-lapse analysis of embryo kinetics from fertilization to the blastocyst stage. This was a prospective cohort study of two pronuclei (2PN) embryos from 25 hyperandrogenic PCOS patients (110 2PN embryos), 26 normoandrogenic PCOS patients (140 2PN embryos) and 20 healthy, regularly cycling women (controls, 97 2PN embryos). Patients underwent the same baseline evaluation and the same ovarian stimulation from April 2010 to February 2013. Oocytes were fertilized by intracytoplasmic sperm injection and incubated in an EmbryoScope with pictures taken every 20 min in seven focal planes. Time to 2PN breakdown, first cleavage and cleavage to 3, 4, 5, 6, 7 and 8 cells, morula and blastocyst (t2, t3, t4, t5, t6, t7, t8, t(M), t(B)) were annotated. Differences in embryo kinetics between groups were assessed by mixed modelling. Compared with controls, embryos from hyperandrogenic PCOS patients were significantly delayed at 2PN breakdown, t2, t3, t4 and t7 but not at t5, t6, t8, t(M) or t(B). Embryos from hyperandrogenic PCOS women had developed slower from fertilization to the 8-cell stage compared with embryos from controls.

Identification of new ovulation-related genes in humans by comparing the transcriptome of granulosa cells before and after ovulation triggering in the same controlled ovarian stimulation cycle.

STUDY QUESTION: Which genes and molecular mechanisms are involved in the human ovulatory cascade and final oocyte maturation? SUMMARY ANSWER: Up-regulated genes in granulosa cells (GC) represented inflammation, angiogenesis, extracellular matrix, growth factors and genes previously associated with ovarian cancer, while down-regulated genes mainly represented cell cycle and proliferation. WHAT IS KNOWN ALREADY: Radical changes occur in the follicle during final follicle maturation after the ovulatory trigger: these range from ensuring an optimal milieu for the oocyte in meiotic arrest to the release of a mature oocyte and remodeling into a corpus luteum. A wide range of mediators of final follicle maturation has been identified in rodents, non-human primates and cows. STUDY DESIGN, SIZE, DURATION: Prospective cohort study including 24 women undergoing ovarian stimulation with the long gonadotrophin-releasing hormone agonist protocol during 2010-2012 at Holbæk Fertility Clinic. Nine paired samples of GC and 24 paired samples of follicular fluid (FF) were obtained before and after recombinant human chorionic gonadotrophin (rhCG) administration. PARTICIPANTS/MATERIALS, SETTING, METHODS: Nine paired (nine arrays before rhCG and nine arrays after rhCG) samples of GC mRNA were amplified and hybridized to Affymetrix Human Gene 1.0 ST GeneChip arrays, compared and bioinformatically analyzed. Eleven selected genes were validated by quantitative reverse transcriptase PCR. FF hormones were analyzed by enzyme-linked immunosorbent assay. MAIN RESULTS AND THE ROLE OF CHANCE: Eleven hundred and eighty-six genes were differentially expressed (>2-fold, P<0.0001, false discovery rate <0.0012) when comparing GC isolated before and 36 h after hCG, among those were genes known to be expressed at ovulation, i.e. ADAMTS1 and HAS2. Many new ovulation-related genes were revealed, such as CD24, ANKRD22, CLDN11 and FBXO32. FF estrogen, androstenedione and anti-Müllerian hormone decreased significantly while progesterone increased, accompanied by radical changes in the expression of steroidogenic genes (CYP17A, CYP19A, HSD11B1 and HSD11B2, StAR). Genes related to inflammation, angiogenesis, extracellular matrix formation, growth factors and cancer were up-regulated while cell cycle genes were massively down-regulated. Seventy-two genes previously described in connection with ovarian cancer were among the highly regulated genes. In silico analysis for top upstream regulators of the ovulatory trigger suggested--besides LH--TNF, IGF1, PGR, AR, EGR1 (early growth response 1), ERK1/2 (extracellular signal regulated kinase 1/2) and CDKN1A (cyclin-dependent kinase inhibitor 1A) as potential mediators of the LH/hCG response. LIMITATIONS, REASONS FOR CAUTION: The present dataset was generated from women under hormonal stimulation. However, comparison with a macaque natural cycle whole follicle ovulation dataset revealed major overlap, supporting the idea that the ovulation-related genes found in this study are relevant in the human natural cycle. WIDER IMPLICATIONS OF THE FINDINGS: These data will serve as a research resource for genes involved in human ovulation and final oocyte maturation. Ovulation-related genes might be good candidate biomarkers of follicle and oocyte health. Further, some of the ovulation-related genes may serve as future ovarian cancer biomarkers. STUDY FUNDING/COMPETING INTEREST(S): Grants from the Research Fund of Region Sjælland are gratefully acknowledged. None of the authors declared any conflict of interest. TRIAL REGISTRATION NUMBER: Not applicable.

Polycystic ovary syndrome and low-grade inflammation with special reference to YKL-40.

OBJECTIVE: To evaluate the plasma level of YKL-40 in a Danish polycystic ovary syndrome (PCOS) population and to investigate whether YKL-40 is associated with CVD risk factors such as waist circumference, body mass index (BMI), insulin resistance (IR), fasting glucose, fasting insulin, blood lipids and CRP. DESIGN: Cross-sectional study. SETTING: Gynecological clinics at three Danish University Hospitals. PATIENTS: One hundred seventy-one premenopausal women with PCOS recruited consecutively from April 2010 to February 2012. PCOS was diagnosed according to the Rotterdam criteria. MAIN OUTCOME MEASURES: Plasma level of YKL-40 in four phenotypes of PCOS defined by BMI and IR. RESULTS: No statistically significant difference was observed in the plasma level of YKL-40 across the four BMI/IR-phenotypes. Positive associations were observed between YKL-40 and BMI, total and free testosterone, triglycerides, and CRP. Total and free testosterone were independent predictors of YKL-40. CONCLUSION: YKL-40, the marker of low-grade inflammation is not increased in women with PCOS.

Polycystic ovary syndrome: infertility, cardiovascular, metabolic and obstetrical risks, laboratory and clinical outcomes -- the PICOLO Study.

OBJECTIVES: The primary objective of this multicenter study is to evaluate the relative impact of insulin resistance (IR) and body mass index (BMI) in women with polycystic ovary syndrome (PCOS) on (1) Key hemodynamic/thrombogenic variables, (2) Oocyte quality and early embryo development, (3) Fetal growth, placental function and adverse obstetric outcome. SECONDARY OBJECTIVE: To establish a PCOS database and biobank facilitating future basic and interventional research related to PCOS. DESIGN: A cross-sectional and longitudinal cohort study at four University Hospitals in Denmark. POPULATION INCLUSION: About 200 women fulfilling the Rotterdam Criteria and 100 women without PCOS recruited from 2010 to 2012. METHODS: The impact of PCOS, as well as the impact of IR and BMI on the hormonal, metabolic and hemostatic key variables will be analyzed combining conventional, molecular techniques and selected gene analysis. Oocytes will be characterized by gene expression of granulosa and cumulus cells and the early embryo development will be followed by time lapse microscopy. Fetal growth will be assessed by repeated ultrasound measurements, and the pregnancy outcome compared to maternal and fetal biochemical markers of growth and inflammation and clinical pregnancy complications. MAIN OUTCOME MEASURES: Metabolic and hemostatic risk-biomarkers, oocyte and embryo quality, adverse pregnancy outcome, fetal growth and placental function in women with PCOS.