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Nan Zhang, Haiqing Zhang, Xu Zhang, Bingchang Zhang, Furong Wang, Chenggang Wang, Meng Zhao, Chunxiao Yu, Ling Gao, Jiajun Zhao and Qingbo Guan

Objective

To evaluate the relationship between serum total testosterone (TT) level and lipid profile after adjusting for some traditional confounding factors, free thyroid hormones and TSH in Chinese men.

Methods

This was a retrospective study based on an epidemiological investigation including 11 000 subjects. Bivariate and partial correlation analysis, multiple linear regression analysis, and a general linear model were used to assess the influence of TT on the lipid profile. Additionally, the odds ratios (ORs) (95% CIs) for hypertriglyceridemia and low HDL-C in relation to TT categories were calculated using logistic regression analysis.

Results

A total of 4114 subjects whose mean age was 56.04±8.75 years were finally analyzed. There was a significant linear trend toward lower total cholesterol (TC), lower triglycerides (TG), and higher HDL-C with increasing serum TT, which remained significant after adjusting for age, BMI, fasting blood glucose, systolic blood pressure, free triiodothyronine, free thyroxine, and TSH. Compared with the bottom quartile of TT, the adjusted OR (95% CI) for hypertriglyceridemia and low HDL-C was 0.082 (0.048–0.138, P=0.000) and 0.669 (0.503–0.891, P=0.006) respectively in the top quartile of TT.

Conclusions

TT was correlated negatively and linearly with TC, TG, and LDL-C and positively and linearly with HDL-C. Low TT might have adverse effects on the lipid profile and thus represent a risk factor for hypercholesterolemia, hypertriglyceridemia, high LDL-C, and low HDL-C, suggesting the importance of maintaining an appropriate TT level in men.

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Jingjing Jiang, Xue Liu, Xiaotian Liu, Zhongyan Tian, Haiqing Zhang, Xinling Qian, Zhicheng Luo, Dandan Wei, Shuna Jin, Chongjian Wang and Zhenxing Mao

Objective: Previous studies have uncovered a progestin-only contraceptive association with an increased risk of diabetes, but limited study has explored the relationship of endogenous progesterone and pregnenolone level with diabetes status. A case-control study was conducted in Henan Rural Cohort (Register Number: ChiCTR-OOC-15006699), to evaluate the dose-response independent and interactive relationship of progesterone and pregnenolone levels with prediabetes and type 2 diabetes mellitus (T2DM) in Chinese rural population.

Design: A case-control study.

Methods: A total of 798 T2DM patients, 779 prediabetes patients, and 782 individuals with normal fasting plasma glucose were included in this study. Serum progesterone and pregnenolone were detected by liquid chromatography-tandem mass spectrometry. Logistic regression and restricted cubic splines were used to assess the independent effects of progesterone and pregnenolone on prediabetes and T2DM. Interactive plots were employed to examine the interaction effects of progesterone and pregnenolone.

Results: Progesterone in the fourth vs first quartile was positively associated with prediabetes (odds ratio (OR) [95% confidence interval (CI)]: 2.66 [1.99-3.55]) and T2DM (OR [95%CI]: 6.41 [4.57-8.98]), whereas, pregnenolone in the fourth vs first quartile was inversely related to prediabetes (OR [95%CI]: 0.23 [0.16-0.33]) and T2DM (OR [95%CI]: 0.44 [0.31-0.62]). Additionally, the nonlinear dose-response associations between progesterone and pregnenolone with prediabetes and T2DM were found. Interactive effects of progesterone and pregnenolone on prediabetes and T2DM were observed, and these significant associations remained in gender-stratified analysis.

Conclusions: Prediabetes and T2DM were positively linked to serum concentration of progesterone, and negatively related to pregnenolone in dose-response manner in Chinese rural population.