serum testosterone
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2022 ◽  
Vol 28 (1) ◽  
pp. 23-26
Lulu Gao ◽  
Jian Tian

ABSTRACT Introduction: Physical exercise is an important factor in regulating energy balance and body composition. Exercise itself is a kind of body stress. It involves the central nervous system, cardiovascular, respiratory, endocrine, and other systems. Sports have various effects on the hormones in adolescent height development. Objective: This article analyzes the effects of different time and load exercise training on the levels of serum testosterone, free testosterone, and cortisol in young athletes. Methods: The athletes’ blood samples were collected at the quiet time in the morning before each experiment, immediately after exercise, and at three time intervals the next morning. Then blood testosterone (T), free testosterone (FT), and corticosteroids (C) were measured. Results: One-time and one-day high-volume training can cause a decrease in serum testosterone and free testosterone levels and an increase in cortisol hormones in young athletes. The testosterone level of young athletes rises immediately after exercise. Conclusion: Hormonal changes after physical exercise provide a scientific basis for athlete exercise load prediction and exercise plan formulation. Level of evidence II; Therapeutic studies - investigation of treatment results.

F1000Research ◽  
2022 ◽  
Vol 11 ◽  
pp. 23
Phu Cuong Nguyen ◽  
Hoang Van Nguyen ◽  
Van Tien Vu ◽  
Van Tran Pham ◽  
Dang Quyet Tran ◽  

Introduction: Acne is a chronic inflammatory disorder of the pilosebaceous unit with differential pathogenesis. To elucidate the roles of hormones in acne pathogenesis, we conducted a study to evaluate the serum testosterone, estradiol, progesterone levels in women with acne vulgaris. Methods: We conducted a cross-sectional descriptive study, and 175 women with acne vulgaris were examined; their serum estradiol, progesterone, testosterone were analyzed by chemiluminescence technique and compared with the healthy control group. Results: Increased serum hormone levels in women with acne vulgaris were accounted for 29.7%, and hyperandrogenism was accounted for 16.0% of cases. We found significant differences in testosterone levels (mean value, 55.67±25.56 versus 38.37±10.16 ng/dL, p<0.05) respectively in the acne group and the control group. However, the estradiol level of the acne group (323.15±93.31 pmol/L) was lower than the control group (370.94±58.88 pmol/L) with p<0.05). No statistically significant differences were found for progesterone (0.60±0.38 versus 0.50±0.15 ng/mL, p>0.05) levels. Moreover, we did not find the relationship between serum hormone levels and the severity of acne vulgaris. Conclusion: This study showed that the female acne vulgaris patients may have high serum testosterone levels and low serum estradiol levels compared with those of female controls. However, hormone alterations had no correlation with the acne grades.

2022 ◽  
Sajad Sumji ◽  
Abid Bhat ◽  
Aafia Rashid ◽  
Imtiyaz wani ◽  
Vishnu Vasudevan ◽  

Abstract Purpose: PCOS women exhibit higher levels of AMH and has been proposed to add value to diagnosis of PCOS incase ambiguity. However, variable cutoffs of AHM for PCOS prediction have been reported. This study was designed to determine diagnostic threshold of serum AMH levels and its correlation with clinical, hormonal and ultrasonographic parameters among women with PCOS.Materials: In this prospective study, 113 women with PCOS as per Rotterdam criteria 2003 and 75 normo-ovulatory women were included. Clinical, biochemical, hormonal and sonographic assessment in addition to serum AMH levels were determined using standard methodology.Results: Mean age was comparable (23.43±3.42vs.24.21±3.18 years) between cases and controls. The mean number of menstrual cycles per year were lower while as mean BMI, FG score, and serum testosterone were higher in cases than controls (p<0.05). The mean serum AMH level was significantly higher in PCOS group (7.84±3.67vs. 3.23 ±1.56 ng/mL) than controls. The serum AMH levels showed a positive correlation(p<0.05) with LH/FSH ratio (r = 0.206, p = 0.029), number of ovarian follicles(r=0.461) and volume,(r=0.521), but no correlation significant with age and BMI. As per receiver operating characteristic (ROC) curve, cut-off was worked out to be 3.76 ng/mL with 86.7% sensitivity and 62.7% specificity. Conclusion: Serum AMH levels correlate positively with PCOM among PCOS women and may be a potent diagnostic marker of ovarian dysfunction either alone or in conjunction with other tools to ensure timely diagnosis and early treatment of the disorder.

F. E. Glover ◽  
F. Del Giudice ◽  
F. Belladelli ◽  
P. B. Ryan ◽  
T. Chen ◽  

2022 ◽  
Vol 20 (1) ◽  
Emanuele Garzia ◽  
Valentina Galiano ◽  
Giovanni Marfia ◽  
Stefania Navone ◽  
Enzo Grossi ◽  

Abstract Background Moving from the correlation between insulin-resistance and PCOS, metformin has been administered in some PCOS women improving ovulatory and metabolic functions and decreasing androgen levels. Inconsistency and unpredictability of response to metformin limit its extensive use. Aim of this study was to identify reliable predictors of response to metformin therapy for weight loss and reduction in plasma androgen levels using ANNs (artificial neural networks). Methods One hundred eight consecutive women with PCOS (ESHRE/ASRM 2003 Rotterdam criteria) treated with metformin 1500 mg/day, at inclusion and every 6 months underwent to a complete clinical, endocrine/metabolic assessment and ultrasonographic evaluation. Therapy outcomes were BMI reduction (≥1 kg/m2) in overweight/obese and free-androgen-index (FAI) decrease (≥1%) in hyperandrogenemic women. Semantic connectivity maps (SCMs) were obtained through Auto-CM, a fourth generation ANN, to compare patients’ baseline clinical features to the treatment outcomes. Multivariate logistic regression analysis was used to assess the major predictor in drop-out patients and the associated risk. Results At 6 months 54 out of 103 (52,4%) obese patients showed BMI reduction and 45 out of 89 (50,6%) hyperandrogenemic women showed FAI decrease. The further response rates at 12 months were 30,6 and 47%, respectively. SCMs showed a clear polarization for both the outcomes with elevated accuracy. Treatment responsiveness resulted strictly related to oligo-amenorrhea and hyperandrogenemia at baseline. In addition, lower serum testosterone levels at baseline were found to be the major predictor of treatment discontinuation. Conclusions In women with PCOS, menstrual pattern imbalance and ovarian androgens excess are the best predictors of metformin response. They may pave the way for a rethinking of the criteria for evaluating hyperandrogenism in order to better define the large population included in the diagnosis of PCOS. Baseline plasma testosterone level can serve as a sensitive marker to predict treatment compliance.

2021 ◽  
pp. 4614-4620
Ekhlas Abdallah Hassan ◽  
Rusul Y. Hameed ◽  
Sabreen Ali Mezil

Abuse of androgens and overtraining expose bodybuilders to multifactorial stress influences related to endocrine activity. Endocrine responses in 23 bodybuilder athletes were investigated after a strength training period, during which they were taking high doses of androgenic-anabolic steroids. Serum concentrations of TSH, T3, and T4 were unchanged significantly. Serum LH and FSH concentrations decreased dramatically (P<0.05). In addition, low mean concentration of serum testosterone was recorded, with more substantial reduction in participants of elder ages. The multiple regression model used in this analysis supported this inference. On the other hand, a positive association was observed between levels of blood lipids (total cholesterol, triglyceride) and the outcome predictor (mean serum testosterone level). The results also suggested a negative correlation between testosterone level and each of age and HDL level. The current study shows that excessive bodybuilding exercise has an impact on the hypothalamic–pituitary–thyroid (HPT) axis in top-level athletes. Also, simultaneous usage of anabolic steroids induces extreme shifts in the hypothalamic-pituitary–gonadal (HPGA) axis, which is reflected as changes in testosterone level, development of the overtraining syndrome, and adverse influences on hormonal control.

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