Predictive value of first-trimester GPR120 levels in gestational diabetes mellitus

Frontiers in Endocrinology

Endocrinology

Mengyuan Lin¹  Renqiang Yu²  Zhenhong Wu³  Qingwen He³ 

[1]Center of Reproductive Medicine, Women’s Hospital of Jiangnan University, Wuxi, China

[2]Department of Neonatology, Wuxi Maternity and Child Health Care Hospital, Women’s Hospital of Jiangnan University, Wuxi, China

[3]Department of Public Health, Women’s Hospital of Jiangnan University, Wuxi, China

关键词: gestational diabetes mellitus;    biomarker;    GPR120;    nomogram;    LASSO;   

DOI  :  10.3389/fendo.2023.1220472

 received in 2023-05-10, accepted in 2023-09-12,  发布年份 2023

来源: Frontiers

【 摘 要 】

BackgroundEarly 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.MethodsThis 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.ResultsHerein, 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.ConclusionsThe 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.

【 授权许可】

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Copyright © 2023 He, Lin, Wu and Yu