Follicle-stimulating hormone associates with metabolic factors in postmenopausal women.

Current studies have focused more on the relationships among estrogen, androgen, and metabolic syndrome (MetS). The main aim of the study was to investigate whether the variation of FSH is associated with metabolic factors in postmenopausal women. A total of 561 postmenopausal women aged 39-69 years were selected. FSH, estradiol, fasting blood glucose, and lipid profiles were analyzed. Compared with women in the highest FSH quartile, women in the lowest quartile had higher body mass index (BMI), fast blood glucose (FBG), triglyceride (TG), blood pressure, and serum estradiol (E2) but lower high-density lipoprotein (HDL) (all p < .05). Compared with women in the groups of normal levels of MetS biomarkers, women in the abnormal groups had lower FSH (all p < .01). Increased quartiles of FSH were associated with significantly decreased rates of abnormal levels of metabolic factors (all p < .05). High FSH levels had protective effects regarding SBP, DBP, and FBG, with odds ratios (ORs) of 0.84 (95% CI 0.76-0.92, p < .001), 0.85 (95% CI 0.78-0.94, p < .01), 0.90 (95% CI 0.83-0.98, p < .01), respectively. Low FSH appears to be a risk factor of all domains of MetS in postmenopausal women, which merits further study.

[Clinical study of anti-Mullerian hormone in prediction of ovarian aging].

OBJECTIVE: To explore the serum anti-Mullerian hormone (AMH) level in women of childbearing age with normal menstrual cycles. METHODS: A total of 1 423 women with regular menstrual cycles were selected and divided into 5 groups according to their ages, i.e. ≤ 25, 26-30, 31-35, 36-40, ≥ 41 years. Their serum levels of AMH were measured, and the relationship between AMH and age was analyzed. RESULTS: The serum AMH levels of 5 groups according to ages (≤ 25, 26-30, 31-35, 36-40, ≥ 41 years) were 3.62, 3.10, 2.27, 1.07, 0.45 µg/L, respectively. The comparison of serum AMH levels in different age groups had significant difference (P < 0.01). Serum AMH level declined with increasing age, and dropped significantly after 36. The serum AMH level and age showed a negative correlation with significant difference (r = -0.374, P < 0.01). Quadratic regression of logAMH proximally reflected the relationship between AMH and age. CONCLUSION: AMH determination for women of childbearing age could provide reference for the evaluation of ovarian function.