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Predictive value of first-trimester GPR120 levels in gestational diabetes mellitus
Qingwen He1, Mengyuan Lin2, Zhenhong Wu1
1Department of Public Health, Women's Hospital of Jiangnan University, Wuxi, China.
Insights
Early diagnosis of gestational diabetes mellitus (GDM) is crucial. Researchers found that higher G-protein coupled receptor 120 (GPR120) levels in early pregnancy can predict GDM risk, enabling timely intervention and improved outcomes.
Area of Science:
- Obstetrics and Gynecology
- Endocrinology
- Biomarker Discovery
Background:
- Early diagnosis of gestational diabetes mellitus (GDM) is vital for reducing adverse maternal and perinatal outcomes.
- Currently, no established biomarkers or clinical prediction models exist for early GDM detection in pregnancy.
- This research addresses the need for early GDM diagnostic tools.
Purpose of the Study:
- To identify serum G-protein coupled receptor 120 (GPR120) levels in early pregnancy.
- To develop a predictive model for GDM using early pregnancy indicators.
- To establish a reliable method for early GDM risk assessment.
Main Methods:
- A prospective cohort study involving 250 pregnant women (125 with GDM) was conducted.
- GPR120 expression was quantified in white blood cells using quantitative PCR.
- Least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression were used to build a predictive nomogram model.
Main Results:
- Pregnant women with GDM exhibited significantly higher first-trimester GPR120 expression compared to the normal group (p < 0.05).
- The developed nomogram, incorporating GPR120, fasting plasma glucose, cholesterol, and lipoproteins, demonstrated high predictive accuracy (AUC 0.996 in training, 0.992 in validation).
- The nomogram showed excellent calibration, discrimination, and clinical applicability validated by decision curve analysis.
Conclusions:
- Elevated first-trimester GPR120 expression serves as a potential biomarker for predicting GDM onset.
- The nomogram integrating GPR120 levels in early pregnancy offers robust predictive capability for GDM.
- This predictive model can aid in early GDM detection and management.
Background:
Early diagnosis of gestational diabetes mellitus (GDM) reduces the risk of unfavorable perinatal and maternal consequences. Currently, there are no recognized biomarkers or clinical prediction models for use in clinical practice to diagnosing GDM during early pregnancy. The purpose of this research is to detect the serum G-protein coupled receptor 120 (GPR120) levels during early pregnancy and construct a model for predicting GDM.
Methods:
This prospective cohort study was implemented at the Women's Hospital of Jiangnan University between November 2019 and November 2022. All clinical indicators were assessed at the Hospital Laboratory. GPR120 expression was measured in white blood cells through quantitative PCR. Thereafter, the least absolute shrinkage and selection operator (LASSO) regression analysis technique was employed for optimizing the selection of the variables, while the multivariate logistic regression technique was implemented for constructing the nomogram model to anticipate the risk of GDM. The calibration curve analysis, area under the receiver operating characteristic curve (AUC) analysis, and the decision curve analysis (DCA) were conducted for assessing the performance of the constructed nomogram.
Results:
Herein, we included a total of 250 pregnant women (125 with GDM). The results showed that the GDM group showed significantly higher GPR120 expression levels in their first trimester compared to the normal pregnancy group (p < 0.05). LASSO and multivariate regression analyses were carried out to construct a GDM nomogram during the first trimester. The indicators used in the nomogram included fasting plasma glucose, total cholesterol, lipoproteins, and GPR120 levels. The nomogram exhibited good performance in the training (AUC 0.996, 95% confidence interval [CI] = 0.989-0.999) and validation sets (AUC=0.992) for predicting GDM. The Akaike Information Criterion of the nomogram was 37.961. The nomogram showed a cutoff value of 0.714 (sensitivity = 0.989; specificity = 0.977). The nomogram displayed good calibration and discrimination, while the DCA was conducted for validating the clinical applicability of the nomogram.
Conclusions:
The patients in the GDM group showed a high GPR120 expression level during the first trimester. Therefore, GPR120 expression could be used as an effective biomarker for predicting the onset of GDM. The nomogram incorporating GPR120 levels in early pregnancy showed good predictive ability for the onset of GDM.
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