Nu Tang, Yannan He, Shamshad Karatela, Jinjing Zhong, Xiaoling Zeng, Qinggui Lu, Feng Zhao, Li Cai
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引用次数: 0
Abstract
Purpose: To explore the associations of erythrocyte polyunsaturated fatty acids (PUFAs) with the risk of gestational diabetes mellitus (GDM) in pregnant women.
Methods: A total of 951 women in mid-pregnancy (20-28 weeks of gestation) were recruited during 2017-2018. Erythrocyte PUFAs were measured by gas chromatography and expressed as a percentage of total fatty acids. A 75 g oral glucose tolerance test was used for GDM diagnosis. Logistic regression and restricted cubic spline models were conducted.
Results: Among the 951 pregnant women, 180 were diagnosed with GDM (18.93%). For n-3 PUFAs, each standard deviation (SD) increase in α-linolenic acid (ALA) and docosapentaenoic acid (DPA) was associated with multivariable-adjusted odds ratios (ORs) of 0.789 (95% CI: 0.649, 0.961; P = 0.018) and 0.782 (95% CI: 0.638, 0.957; P = 0.017), respectively. However, the associations became marginally significant after post hoc false-discovery rate (FDR) correction (both PFDR=0.065). A significant nonlinear association was observed for ALA and GDM risk (P- nonlinearity=0.001). For n-6 PUFAs, γ-linolenic acid (GLA) was significantly associated with a 46.0% higher risk of GDM [OR (95%CI): 1.460 (1.195, 1.785), PFDR=0.003) per SD increase], with a significant non-linear relationship (P- nonlinearity=0.031). Arachidonic acid (AA) showed a borderline significant association with lower GDM risk after FDR correction [OR (95%CI): 0.736 (0.568, 0.953), P = 0.020, PFDR=0.065].
Conclusion: Erythrocyte GLA was significantly associated with an increased risk of GDM in pregnant women. Furthermore, we observed for the first time significant non-linear associations of erythrocyte ALA and GLA with GDM risk.
期刊介绍:
The European Journal of Nutrition publishes original papers, reviews, and short communications in the nutritional sciences. The manuscripts submitted to the European Journal of Nutrition should have their major focus on the impact of nutrients and non-nutrients on
immunology and inflammation,
gene expression,
metabolism,
chronic diseases, or
carcinogenesis,
or a major focus on
epidemiology, including intervention studies with healthy subjects and with patients,
biofunctionality of food and food components, or
the impact of diet on the environment.