Effect of exogenous gonadotropin on the transcriptome of human granulosa cells and follicular fluid hormone profiles.

BACKGROUND: Superovulation treatment had some adverse effects on maturity and development of oocytes. Can superovulation dose of gonadotropins (Gns) affect the transcriptome of granulosa cells and follicular fluid (FF) hormone levels? METHODS: One leading pre-ovulatory follicle per subject was used from three natural-cycle and four Gn-stimulated patients. Granulosa cells and FF samples were collected from the same leading follicle of each patient. RNA was extracted from granulosa cells and subjected to deep sequencing and analysis. Follicle-stimulating hormone (FSH), estradiol (E2), androstenedione (AND), testosterone (T), luteinizing hormone (LH), and progesterone (P4) levels in FF were measured by immunoassays. Student's t test was used for statistical analysis. RESULTS: A total of 715 genes were up-regulated, and 287 genes were down-regulated, in the Gn-stimulated group relative to the control group. Gene Ontology analysis revealed that the down-regulated genes were enriched in cell cycle and meiosis pathways, primarily those associated with follicle or oocyte maturation and quality. On the other hand, the up-regulated genes were enriched in functions related to immunity and cytokine-cytokine receptor interactions. Compared to the follicles of natural cycle, the E2 and LH concentrations were significantly reduced (P < 0.001), the P4 concentration was significantly increased (P = 0.003), and the concentrations of FSH, T and AND had no difference in the follicles of Gn-stimulated cycle. CONCLUSIONS: Cell cycle- and meiosis-associated genes were down-regulated by Gns stimulation, whereas immune- and cytokine-associated genes were up-regulated. Hormone levels were also affected by Gns stimulation. Compared with natural-cycle follicles,putative markers associated with oocyte quality and follicle maturation were significantly different from those in Gn-stimulated follicles. Hormone levels in follicles were compatible with the steroidogenic patterns of granulosa cell, which reflects the follicle maturation and oocyte quality.

The 'normal' range of FMR1 triple CGG repeats may be associated with primary ovarian insufficiency in China.

The aim of this study was to investigate the relationship between normal Fragile X mental retardation gene 1 (FMR1) CGG repeat numbers and primary ovarian insufficiency (POI) occurrence or subsequent resumption of ovarian function. A total of 122 women with POI and 105 controls were followed up and analysed in our centre. The prevalence of premutation and intermediate range of FMR1 CGG repeats in Han Chinese women with POI was only 0.81% (1/122) and 1.64% (2/122), respectively. The risk of POI occurrence for less than 26 CGG repeats and 29 or more CGG repeats in allele1 (smaller allele) was significantly higher than that for 26-28 CGG repeats (odds ratio 13.50, 95% confidence interval: 3.21 to 56.77 and 6.32, 95% confidence interval: 2.49 to 16.09 respectively; both P < 0.001). No significant difference was found in the CGG repeat distribution (<26, 26-28, or ≥29) in FMR1 allele1 between POI cases whose ovarian function resumed and those whose ovarian function did not. It is suggested that the CGG repeat number in allele1, but not that in allele2 (longer allele), was significantly associated with POI occurrence (P < 0.001). Fewer than 26 or more than 28 CGG repeats in FMR1 allele1 were both risk factors of POI occurrence.

[Analysis of clinical factors affecting pregnancy rate of intrauterine insemination].

OBJECTIVE: To analyze the factors affecting clinical pregnancy rate of intrauterine insemination in Center of Reproductive Medicine, Peking University Third Hospital, to guide clinical treatment. METHODS: In the study, 5 167 intrauterine insemination cycles were retrospectively analyzed from May 2011 to October 2012 in our reproductive center. The data were collected, the single-factor was analyzed with χ2 test, and the multi-factor was analyzed with Logistic regression with a significant level of 0.05. RESULTS: The cycle clinical pregnancy rate was 12.8%, which decreased with the increase of the female age and infertile duration. The clinical pregnancy rate was low when the sperm density was less than 1×10(6)/mL. In the ovulation group, the clinical pregnancy rate was higher than the natural group. The group with more than 2 dominant follicles had higher clinical pregnancy rate as compared with the single dominant follicle group. The clinical pregnancy rate was the highest in the third cycle but decreased after the fourth cycle. The clinical pregnancy rate was higher in cervical factors, sexual dysfunction, and polycystic ovary than in the group with other reasons. CONCLUSION: The female age, infertile duration, ovarian stimulation and follicle number, cause of infertility were the main factors affecting clinical pregnancy outcome; the sperm density, and cycle numbers have influence too; the insemination timing, and frequency have little effect.