Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China.
Tongzhou Maternal and Child Health Hospital, Beijing, China.
J Diabetes Res. 2021 Jul 28;2021:6681432. doi: 10.1155/2021/6681432. eCollection 2021.
The study is aimed at examining the effects of fatty acid-binding protein 4 (FABP4) on insulin resistance and gestational diabetes mellitus (GDM).
Based on a prospective birth cohort in Beijing, China, we conducted a nested case-control study and analyzed 135 GDM case-control pairs matched by age and the gestational week when they took the oral glucose tolerance test. We performed linear regression to analyze the association of plasma FABP4 concentrations with insulin resistance. We used logistic regression to estimate odds ratios (ORs) of FABP4 for GDM, controlling for potential confounders, including dietary intake and physical activity.
Plasma FABP4 levels in the first and second trimesters were positively associated with fasting insulin and homeostasis model assessment for insulin resistance (HOMA-IR) in the second trimester (both < 0.001). Compared with those in the lowest FABP4 tertile, women in the highest tertile of FABP4 levels in the first and second trimesters had 1.053 times (OR = 2.053, 95% CI 1.091 to 3.863) and 1.447 times (OR = 2.447, 95% CI 1.305 to 4.588) higher risk of developing GDM.
Elevated FABP4 levels in the first and second trimesters were associated with a higher level of insulin resistance and greater GDM risk, indicating FABP4 might predict women with high risk of developing GDM.
本研究旨在探讨脂肪酸结合蛋白 4(FABP4)对胰岛素抵抗和妊娠期糖尿病(GDM)的影响。
我们在中国北京进行了一项前瞻性出生队列研究,开展了一项巢式病例对照研究,并对 135 对年龄和口服葡萄糖耐量试验时的孕周相匹配的 GDM 病例对照进行了分析。我们采用线性回归分析了血浆 FABP4 浓度与胰岛素抵抗之间的关系。我们采用 logistic 回归估计了 FABP4 对 GDM 的比值比(OR),并控制了饮食摄入和体力活动等潜在混杂因素。
第一和第二孕期的血浆 FABP4 水平与空腹胰岛素和第二孕期的稳态模型评估胰岛素抵抗(HOMA-IR)呈正相关(均<0.001)。与 FABP4 水平最低三分位组相比,第一和第二孕期 FABP4 水平最高三分位组的女性发生 GDM 的风险分别高出 1.053 倍(OR=2.053,95%CI 1.0913.863)和 1.447 倍(OR=2.447,95%CI 1.3054.588)。
第一和第二孕期 FABP4 水平升高与胰岛素抵抗水平升高和 GDM 风险增加相关,提示 FABP4 可能预测发生 GDM 风险较高的女性。