First-Trimester Biomarkers and Gestational Diabetes Risk in a Prospective Cohort

A prospective cohort study by Xue Wei, published on figshare, followed 231 singleton pregnant women to investigate early predictors of gestational diabetes mellitus (GDM). The dataset likely contains measurements of serum agouti signalling protein (ASIP), the triglyceride-glucose (TyG) index, and routine metabolic parameters taken during the first (8–12 weeks) and second (24–28 weeks) trimesters. The study found that elevated first-trimester ASIP and TyG index were independent risk factors for GDM, with their combination showing predictive value.

Use Cases

• Predicting gestational diabetes mellitus (GDM) risk based on first-trimester serum ASIP levels.
• Assessing the combined predictive power of the triglyceride-glucose (TyG) index and ASIP for GDM.
• Analyzing correlations between early pregnancy biomarkers and later insulin resistance metrics.
• Building risk stratification models for clinical use based on the reported adjusted odds ratios and AUC values.

Strengths

• Data is from a prospective cohort study with a defined sample size of 231 pregnant women.
• Study reports statistically significant associations (P < 0.001) and adjusted odds ratios for key biomarkers.
• Measurements were taken at two standardized time points (first and second trimesters) with a clear diagnostic endpoint.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (68.8 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Prospective cohort study with blood sample analysis and oral glucose tolerance tests.

Time Range

Measurements taken during first (8–12 weeks) and second (24–28 weeks) trimesters of pregnancy.

Freshness

Last updated 2026-05-08 13:21:10; freshness should be verified.