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Updated: Jun 27, 2026

Evaluation of Hepatic Glucose Production in a Polycystic Ovary Syndrome Mouse Model
Published on: March 5, 2022
[Characteristics of quantitative change relation between insulin and testosterone in polycystic ovary syndrome]
Ming-Wei Zhu1, Xin Li, Jin-Fang Lin
1Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.
Objective:
To investigate the relationship of dynamic quantitative changes between insulin and testosterone in polycystic ovary syndrome (PCOS).
Methods:
Peripheral blood samples were collected in the third to fifth day menstrual cycle from 97 PCOS patients, aged (24 +/- 6), 47 being obese (with BMI > 25 kg/m(2)) and 50 being non-obese (with BMI = 25 kg/m(2)), and 27 women with oviductal sterility (control group). The serum testosterone was measured. All the subjects underwent oral glucose tolerance test (OGTT) with the glucose load of 75 g, and the plasma insulin levels 30, 60, 120, and 180 minutes later were measured. Curve fitting of 11 kinds of equations was used to estimate the optimization degree of relationship between testosterone and insulin.
Results:
(1) The correlation between testosterone and insulin was the most perfect when the T and insulin levels 120 min later of the obese and non-obese PCOS patients and the controls were expressed by Compound equation with the Rsq values of 0.84, 0.79, and 0.894 respectively. (2) The Compound function curves corresponding to the data of the 3 groups showed significantly different parameters.
Conclusion:
(1) Compound equation is the optimized equation to express the quantitative change relationship between the testosterone and insulin levels in OCOS. (2) The difference in homeostasis ability to T and insulin may be related to the difference in the various parameters derived by Compound equation.
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