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IGF2、IGF2R和IGF2BP2基因多态性与妊娠期糖尿病的关联:一项病例对照研究。

The associations of IGF2, IGF2R and IGF2BP2 gene polymorphisms with gestational diabetes mellitus: A case-control study.

作者信息

Li Wei, She Lu, Zhang Muyu, Yang Mei, Zheng Wenpei, He Hua, Wang Ping, Dai Qiong, Gong Zhengtao

机构信息

Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Xianning Center for Disease Control and Prevention, Xianning, China.

出版信息

PLoS One. 2024 May 3;19(5):e0298063. doi: 10.1371/journal.pone.0298063. eCollection 2024.

Abstract

OBJECTIVE

To investigate the associations of Insulin-like growth factor-II (IGF2) gene, Insulin-like growth factor-II receptor (IGF2R) gene and Insulin-like growth factor-II binding protein 2 (IGF2BP2) gene polymorphisms with the susceptibility to gestational diabetes mellitus (GDM) in Chinese population.

METHODS

A total of 1703 pregnant women (835 GDM and 868 Non-GDM) were recruited in this case-control study. All participants underwent prenatal 75 g oral glucose tolerance test (OGTT) examinations during 24-28 gestational weeks at the Maternal and Child Health Hospital of Hubei Province from January 15, 2018 to March 31, 2019. Genotyping of candidate SNPs (IGF2 rs680, IGF2R rs416572, IGF2BP2 rs4402960, rs1470579, rs1374910, rs11705701, rs6777038, rs16860234, rs7651090) was performed on Sequenom MassARRAY platform. Logistic regression analysis was conducted to investigate the associations between candidate SNPs and risk of GDM. In addition, multifactor dimensionality reduction (MDR) method was applied to explore the effects of gene-gene interactions on GDM risk.

RESULTS

There were significant distribution differences between GDM group and non-GDM group in age, pre-pregnancy BMI, education level and family history of diabetes (P < 0.05). After adjusted for age, pre-pregnancy BMI, education level and family history of diabetes, there were no significant associations of the candidate SNPs polymorphisms and GDM risk (P > 0.05). Furthermore, there were no gene-gene interactions on the GDM risk among the candidate SNPs (P > 0.05). However, the fasting blood glucose (FBG) levels of rs6777038 CT carriers were significantly lower than TT carriers (4.69±0.69 vs. 5.03±1.57 mmol/L, P < 0.01), and the OGTT-2h levels of rs6777038 CC and CT genotype carriers were significantly lower than TT genotype carriers (8.10±1.91 and 8.08±1.87 vs. 8.99±2.90 mmol/L, P < 0.01).

CONCLUSIONS

IGF2 rs680, IGF2R rs416572, IGF2BP2 rs4402960, rs1470579, rs11705701, rs6777038, rs16860234, rs7651090 polymorphisms were not significantly associated with GDM risk in Wuhan, China. Further lager multicenter researches are needed to confirm these results.

摘要

目的

探讨胰岛素样生长因子-II(IGF2)基因、胰岛素样生长因子-II受体(IGF2R)基因及胰岛素样生长因子-II结合蛋白2(IGF2BP2)基因多态性与中国人群妊娠期糖尿病(GDM)易感性的关系。

方法

本病例对照研究共纳入1703例孕妇(835例GDM患者和868例非GDM患者)。2018年1月15日至2019年3月31日期间,所有参与者在湖北省妇幼保健院孕24 - 28周时接受产前75 g口服葡萄糖耐量试验(OGTT)检查。在Sequenom MassARRAY平台上对候选单核苷酸多态性(SNP)(IGF2 rs680、IGF2R rs416572、IGF2BP2 rs4402960、rs1470579、rs1374910、rs11705701、rs6777038、rs16860234、rs7651090)进行基因分型。采用逻辑回归分析探讨候选SNP与GDM风险之间的关系。此外,应用多因素降维(MDR)方法探讨基因-基因相互作用对GDM风险的影响。

结果

GDM组与非GDM组在年龄、孕前体重指数、教育程度和糖尿病家族史方面存在显著分布差异(P < 0.05)。在调整年龄、孕前体重指数、教育程度和糖尿病家族史后,候选SNP多态性与GDM风险无显著关联(P > 0.05)。此外,候选SNP之间不存在影响GDM风险的基因-基因相互作用(P > 0.05)。然而,rs6777038 CT基因型携带者的空腹血糖(FBG)水平显著低于TT基因型携带者(4.69±0.69 vs. 5.03±1.57 mmol/L,P < 0.01),rs6777038 CC和CT基因型携带者的OGTT-2h血糖水平显著低于TT基因型携带者(8.10±1.91和8.08±1.87 vs. 8.99±2.90 mmol/L,P < 0.01)。

结论

在中国武汉,IGF2 rs680、IGF2R rs416572、IGF2BP2 rs4402960、rs1470579、rs11705701、rs6777038、rs16860234、rs7651090多态性与GDM风险无显著关联。需要进一步开展更大规模的多中心研究来证实这些结果。

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