Predicting gestational diabetes: choosing the optimal early serum marker

Area of Science:

• Reproductive Endocrinology
• Metabolic Disease Research
• Maternal-Fetal Medicine

Background:

• Early pregnancy serum markers are linked to gestational diabetes mellitus (GDM) risk.
• Identifying optimal early predictive markers is crucial for timely intervention.
• Previous studies show varied associations, necessitating direct comparison.

Purpose of the Study:

• To prospectively compare three serum markers for predicting GDM.
• To identify the optimal early pregnancy biomarker (<20 weeks gestation).
• To evaluate sex hormone-binding globulin (SHBG), high-sensitive C-reactive protein (hs-CRP), and homeostasis assessment model (HOMA) for GDM prediction.

Main Methods:

• Nested case-control study design.
• Evaluation of SHBG, hs-CRP, and HOMA in first and second trimester samples.
• Multivariate modeling and log likelihood ratios to determine the best predictor.

Main Results:

• Lower SHBG and higher hs-CRP were observed in women who developed GDM.
• Elevated second-trimester HOMA was also associated with GDM.
• First-trimester nonfasting SHBG emerged as the strongest predictor of GDM.

Conclusions:

• First-trimester nonfasting SHBG is an optimal marker for predicting GDM.
• SHBG offers a promising, accessible biomarker for early GDM risk assessment.
• This finding supports SHBG's potential role in routine prenatal screening.