Volume 30, Issue 2, 2021
DOI: 10.24205/03276716.2020.4062
Urinary C-peptide secretion (UCPS): Can it be a new index to reflect insulin sensitivity and a predictor in pregnant women?
Abstract
To investigate the correlation between urinary C-peptide secretion (UCPS) and insulin sensitivity in pregnant women, and to provide new ideas for the early detection of gestational diabetes, we recruited 166 women between 20 and 28 weeks of gestation. Their height and weight were measured to calculate the body mass index (BMI). 75g OGTT was carried out, to detect the serum glucose, serum insulin, and C-peptide levels. Besides, the homeostasis model assessment of insulin resistance (HOMA-IR), homeostasis model assessment of ? cell function (HOMA-?), the Matsuda index, and area under the serum C-peptide curve (CPauc) were calculated. Additionally, the fasting urine specimen and all urine samples within 2 hours after OGTT were collected to determine the urinary C-peptide and urine volume to calculate UCPS. We found that fasting serum insulin (Fins), fasting serum C-peptide (FCP), BMI, OGTT 2h, UCPS (UCPS120), CPauc, Matsuda index and HOMA-IR of GDM group were significantly higher than NGT group. FCP was positively correlated with UCPS0 (r=0.234, p=0.002) and HOMA-? (r=0.251, p=0.001). UCPS120 was positively correlated with CPauc (r=0.176, p<0.001), Matsuda index (r=-0.362, p<0.001) and HOMA-IR (r=0.336, p<0.001). The combination of BMI and UCPS120 was better than the other indices in predicting GDM, with a sensitivity of 72.0% and specificity of 70.7%. In conclusion, UCPS120 has the potential to be a new index to reflect insulin sensitivity in pregnant women. For screening the GDM, the combination of BMI and UCPS120 was better than other indices.
Keywords
Gestational diabetes mellitus, Urinary C-peptide secretion, Insulin sensitivity, BMI