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  • The association between pla...
    Yen, I-Weng; Lin, Shin-Yu; Lin, Ming-Wei; Lee, Chien-Nan; Kuo, Chun-Heng; Chen, Szu-Chieh; Tai, Yi-Yun; Kuo, Ching-Hua; Kuo, Han-Chun; Lin, Heng-Huei; Juan, Hsien-Chia; Lin, Chia-Hung; Fan, Kang-Chih; Wang, Chih-Yuan; Li, Hung-Yuan

    Clinica chimica acta, 02/2024, Volume: 554
    Journal Article

    •Plasma ANGPTL4 in the first trimester is associated with plasma GH-V, glucose, TG, FFAs, and LGA risk.•Addition of plasma ANGPTL4 to traditional risk factors could improve the prediction of LGA.•Plasma ANGPTL4 in the first trimester is an early biomarker during pregnancy for the prediction of LGA. Large-for-gestational-age (LGA) neonates have increased risk of adverse pregnancy outcomes and adult metabolic diseases. We aimed to investigate the relationship between plasma angiopoietin-like protein 4 (ANGPTL4), a protein involved in lipid and glucose metabolism during pregnancy, placental function, growth factors, and the risk of LGA. We conducted a prospective cohort study and recruited women with singleton pregnancies at the National Taiwan University Hospital between 2013 and 2018. First trimester maternal plasma ANGPTL4 concentrations were measured. Among 353 pregnant women recruited, the LGA group had higher first trimester plasma ANGPTL4 concentrations than the appropriate-for-gestational-age group. Plasma ANGPTL4 was associated with hemoglobin A1c, post-load plasma glucose, plasma triglyceride, plasma free fatty acid concentrations, plasma growth hormone variant (GH-V), and birth weight, but was not associated with cord blood growth factors. After adjusting for age, body mass index, hemoglobin A1c, and plasma triglyceride concentrations, plasma ANGPTL4 concentrations were significantly associated with LGA risk, and its predictive performance, as measured by the area under the receiver operating characteristic curve, outperformed traditional risk factors for LGA. Plasma ANGPTL4 is associated with glucose and lipid metabolism during pregnancy, plasma GH-V, and birth weight, and is an early biomarker for predicting the risk of LGA.