{"title":"GC维生素d结合蛋白基因功能变异与妊娠期糖尿病的风险及预测。","authors":"Ruiqi Li, Zhihua Wang, Mengyan Xiang, Qiulian Liang, Shiya Qin, Lijie Nie, Guangying Qi, Xiangyuan Yu","doi":"10.1038/s41598-025-13483-5","DOIUrl":null,"url":null,"abstract":"<p><p>Gestational diabetes mellitus (GDM) is a pregnancy-complicated disease that poses risks to maternal and infant health. However, its etiology has not yet been elucidated. This study investigated the associations between functional genetic variants of the GC vitamin D-binding protein (GC) gene and the risk of GDM. Subsequently, a nomogram predictive model was constructed for early risk identification in GDM. After adjusting for age and pre-pregnancy BMI, rs4752 A > G (AG vs AA: adjusted OR = 1.58, 95% CI: 1.19-2.10, P = 0.001; AG/GG vs AA: adjusted OR = 1.34, 95% CI: 1.04 - 1.71, P = 0.021), rs3733359 G > A (AA vs GG: adjusted OR = 0.70, 95% CI: 0.49-0.98, P = 0.039; AA vs GG/GA: adjusted OR = 0.71, 95% CI: 0.52 - 0.97, P = 0.031), and rs7041 A > C (AC vs AA: adjusted OR = 0.73, 95% CI: 0.57 - 0.94, P = 0.015; AC/CC vs AA: adjusted OR = 0.74, 95% CI: 0.58 - 0.94, P = 0.014) were significantly associated with GDM risk. In the MDR analysis, rs7041 was identified as the best single-locus model, while the two-loci model of rs4752 and rs7041 was the best multiple-factor interaction model for GDM risk prediction. It appears that rs4752 and rs7041 may alter post-transcriptional splicing, while rs3733359 alters transcription factor binding, thereby affecting individual susceptibility to GDM. A predictive nomogram model constructed with rs4752 and clinical indicators (Age, FPG, OGTT1h, OGTT2h and HbA1c) has ideal discriminant ability with a diagnostic AUC of 0.943. These findings still need to be confirmed through larger scale studies and molecular experiments in the future.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"27807"},"PeriodicalIF":3.9000,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12311114/pdf/","citationCount":"0","resultStr":"{\"title\":\"GC vitamin D-binding protein gene functional genetic variants and gestational diabetes mellitus risk and prediction.\",\"authors\":\"Ruiqi Li, Zhihua Wang, Mengyan Xiang, Qiulian Liang, Shiya Qin, Lijie Nie, Guangying Qi, Xiangyuan Yu\",\"doi\":\"10.1038/s41598-025-13483-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Gestational diabetes mellitus (GDM) is a pregnancy-complicated disease that poses risks to maternal and infant health. However, its etiology has not yet been elucidated. This study investigated the associations between functional genetic variants of the GC vitamin D-binding protein (GC) gene and the risk of GDM. Subsequently, a nomogram predictive model was constructed for early risk identification in GDM. After adjusting for age and pre-pregnancy BMI, rs4752 A > G (AG vs AA: adjusted OR = 1.58, 95% CI: 1.19-2.10, P = 0.001; AG/GG vs AA: adjusted OR = 1.34, 95% CI: 1.04 - 1.71, P = 0.021), rs3733359 G > A (AA vs GG: adjusted OR = 0.70, 95% CI: 0.49-0.98, P = 0.039; AA vs GG/GA: adjusted OR = 0.71, 95% CI: 0.52 - 0.97, P = 0.031), and rs7041 A > C (AC vs AA: adjusted OR = 0.73, 95% CI: 0.57 - 0.94, P = 0.015; AC/CC vs AA: adjusted OR = 0.74, 95% CI: 0.58 - 0.94, P = 0.014) were significantly associated with GDM risk. In the MDR analysis, rs7041 was identified as the best single-locus model, while the two-loci model of rs4752 and rs7041 was the best multiple-factor interaction model for GDM risk prediction. It appears that rs4752 and rs7041 may alter post-transcriptional splicing, while rs3733359 alters transcription factor binding, thereby affecting individual susceptibility to GDM. A predictive nomogram model constructed with rs4752 and clinical indicators (Age, FPG, OGTT1h, OGTT2h and HbA1c) has ideal discriminant ability with a diagnostic AUC of 0.943. These findings still need to be confirmed through larger scale studies and molecular experiments in the future.</p>\",\"PeriodicalId\":21811,\"journal\":{\"name\":\"Scientific Reports\",\"volume\":\"15 1\",\"pages\":\"27807\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12311114/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Reports\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41598-025-13483-5\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Reports","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41598-025-13483-5","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
妊娠期糖尿病(GDM)是一种危及母婴健康的妊娠并发症。然而,其病因尚未阐明。本研究探讨了GC维生素d结合蛋白(GC)基因的功能遗传变异与GDM风险之间的关系。在此基础上,构建了GDM早期风险识别的nomogram预测模型。调整年龄和孕前BMI后,rs4752 A > G (AG vs AA:调整OR = 1.58, 95% CI: 1.19 ~ 2.10, P = 0.001;AG/GG vs AA:调整OR = 1.34, 95% CI: 1.04 - 1.71, P = 0.021), rs3733359 G > A (AA vs GG:调整OR = 0.70, 95% CI: 0.49-0.98, P = 0.039;AA vs GG/GA:调整OR = 0.71, 95% CI: 0.52 - 0.97, P = 0.031), rs7041 A > C (AC vs AA:调整OR = 0.73, 95% CI: 0.57 - 0.94, P = 0.015;AC/CC vs AA:校正OR = 0.74, 95% CI: 0.58 - 0.94, P = 0.014)与GDM风险显著相关。在MDR分析中,rs7041被认为是预测GDM风险的最佳单位点模型,rs4752和rs7041的双位点模型是预测GDM风险的最佳多因素交互模型。rs4752和rs7041可能改变转录后剪接,而rs3733359可能改变转录因子结合,从而影响个体对GDM的易感性。rs4752与临床指标(Age、FPG、OGTT1h、OGTT2h、HbA1c)构建的预测nomogram模型具有理想的判别能力,诊断AUC为0.943。这些发现还需要在未来通过更大规模的研究和分子实验来证实。
GC vitamin D-binding protein gene functional genetic variants and gestational diabetes mellitus risk and prediction.
Gestational diabetes mellitus (GDM) is a pregnancy-complicated disease that poses risks to maternal and infant health. However, its etiology has not yet been elucidated. This study investigated the associations between functional genetic variants of the GC vitamin D-binding protein (GC) gene and the risk of GDM. Subsequently, a nomogram predictive model was constructed for early risk identification in GDM. After adjusting for age and pre-pregnancy BMI, rs4752 A > G (AG vs AA: adjusted OR = 1.58, 95% CI: 1.19-2.10, P = 0.001; AG/GG vs AA: adjusted OR = 1.34, 95% CI: 1.04 - 1.71, P = 0.021), rs3733359 G > A (AA vs GG: adjusted OR = 0.70, 95% CI: 0.49-0.98, P = 0.039; AA vs GG/GA: adjusted OR = 0.71, 95% CI: 0.52 - 0.97, P = 0.031), and rs7041 A > C (AC vs AA: adjusted OR = 0.73, 95% CI: 0.57 - 0.94, P = 0.015; AC/CC vs AA: adjusted OR = 0.74, 95% CI: 0.58 - 0.94, P = 0.014) were significantly associated with GDM risk. In the MDR analysis, rs7041 was identified as the best single-locus model, while the two-loci model of rs4752 and rs7041 was the best multiple-factor interaction model for GDM risk prediction. It appears that rs4752 and rs7041 may alter post-transcriptional splicing, while rs3733359 alters transcription factor binding, thereby affecting individual susceptibility to GDM. A predictive nomogram model constructed with rs4752 and clinical indicators (Age, FPG, OGTT1h, OGTT2h and HbA1c) has ideal discriminant ability with a diagnostic AUC of 0.943. These findings still need to be confirmed through larger scale studies and molecular experiments in the future.
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