Literature DB >> 29167926

Angiopoietin-like protein 8 in early pregnancy improves the prediction of gestational diabetes.

Yun Huang1, Xin Chen2, Xiaohong Chen1, Yu Feng1, Heming Guo1, Sicheng Li1, Ting Dai1, Rong Jiang1, Xiaoyan Zhang1, Chen Fang3, Ji Hu4.   

Abstract

AIMS/HYPOTHESIS: Screening high-risk individuals for gestational diabetes mellitus (GDM) in early pregnancy conventionally relies on established maternal risk factors; however, the sensitivity and specificity of these factors are not satisfactory. The present study aimed to determine whether the concentration of angiopoietin-like protein 8 (ANGPTL8), either alone or combined with other risk factors in early pregnancy, could be used to predict subsequent GDM.
METHODS: From August 2015 to January 2016, 474 women receiving prenatal care at around 12-16 weeks of gestation were recruited into the study. ANGPTL8 levels were measured at the first prenatal visit. All the participants received a 75 g OGTT during weeks 24-28 of gestation.
RESULTS: ANGPTL8 levels in early pregnancy were considerably higher in women who developed GDM than those who maintained normal glucose tolerance (2822 ± 938 vs 2120 ± 1118 pg/ml, respectively; p < 0.0001). Multivariable logistic regression revealed that ANGPTL8 levels were significantly associated with risk of GDM independent of conventional risk factors. In addition, women in the highest quartile of ANGPTL8 concentration had an 8.75-fold higher risk of developing GDM compared with women in the lowest quartile (OR8.75, 95%CI 2.43, 31.58). More importantly, incorporating ANGPTL8 into the conventional prediction model significantly increased the AUC for prediction of GDM (0.772vs 0.725; p = 0.019).
CONCLUSIONS: Our study suggests that ANGPTL8 levels in early pregnancy are significantly and independently associated with risk of GDM at 24-28 weeks of gestation. Combining ANGPTL8 levels with conventional risk factors could thus improve the prediction of GDM.

Entities:  

Keywords:  Angiopoietin-like protein 8; Early pregnancy; Gestational diabetes; Prediction

Mesh:

Substances:

Year:  2017        PMID: 29167926     DOI: 10.1007/s00125-017-4505-y

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


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