Prediction of gestational diabetes mellitus and perinatal outcomes by plasma zonulin levels

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Tarih

2022/8/22

Yazarlar

Oral, Serkan
Çelik, Sebahattin
Akpak, Yasam Kemal
Golbasi, Hakan
Bayraktar, Burak
Unver, Gokhan
Sahin, Sami
Yurtcu, Nazan
Caliskan, Canan

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Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Abstract Purpose: Zonulin has been shown to be associated with many metabolic disorders, including type 2 diabetes mellitus, metabolic syndrome, and obesity. In this study, we aimed to evaluate the association between maternal plasma zonulin levels and gestational diabetes mellitus (GDM) and its perinatal outcomes. Materials: A total of 100 pregnant women, 56 with GDM and 44 controls, were included in this prospective case-control study. Maternal plasma zonulin levels were evaluated in each trimester. The association between zonulin levels and GDM, body mass index (BMI) and adverse perinatal outcomes was evaluated. The GDM predictability of zonulin levels for each trimester was analyzed with the receiver operator curve (ROC). Results: Plasma zonulin levels were significantly higher in pregnant with GDM in all trimesters (p < 0.001; for all). Optimum cut-off values of plasma zonulin levels in predicting GDM: first trimester: 6.27 ng/mL, second trimester: 12.71 ng/mL, and third trimester: 18.38 ng/mL. BMI was significantly higher in pregnant women with GDM (30.5 vs 26.1; p < 0.001). Zonulin levels were significantly higher in pregnant women with GDM with overweight BMI [≥ 25-30 (kg/m2)] in all trimesters (p < 0.05; for all). Zonulin levels were significantly higher in pregnant women with composite adverse outcomes that included at least one of neonatal intensive care unit (NICU) admission, meconium-stained amniotic fluid, and 1st minute APGAR score < 7. Conclusion: Increased maternal plasma zonulin levels were associated with increased risk of GDM and adverse perinatal outcomes. Zonulin may be a potential marker to predict GDM risk and perinatal outcomes.

Abstract Purpose: Zonulin has been shown to be associated with many metabolic disorders, including type 2 diabetes mellitus, metabolic syndrome, and obesity. In this study, we aimed to evaluate the association between maternal plasma zonulin levels and gestational diabetes mellitus (GDM) and its perinatal outcomes. Materials: A total of 100 pregnant women, 56 with GDM and 44 controls, were included in this prospective case-control study. Maternal plasma zonulin levels were evaluated in each trimester. The association between zonulin levels and GDM, body mass index (BMI) and adverse perinatal outcomes was evaluated. The GDM predictability of zonulin levels for each trimester was analyzed with the receiver operator curve (ROC). Results: Plasma zonulin levels were significantly higher in pregnant with GDM in all trimesters (p < 0.001; for all). Optimum cut-off values of plasma zonulin levels in predicting GDM: first trimester: 6.27 ng/mL, second trimester: 12.71 ng/mL, and third trimester: 18.38 ng/mL. BMI was significantly higher in pregnant women with GDM (30.5 vs 26.1; p < 0.001). Zonulin levels were significantly higher in pregnant women with GDM with overweight BMI [≥ 25-30 (kg/m2)] in all trimesters (p < 0.05; for all). Zonulin levels were significantly higher in pregnant women with composite adverse outcomes that included at least one of neonatal intensive care unit (NICU) admission, meconium-stained amniotic fluid, and 1st minute APGAR score < 7. Conclusion: Increased maternal plasma zonulin levels were associated with increased risk of GDM and adverse perinatal outcomes. Zonulin may be a potential marker to predict GDM risk and perinatal outcomes.

Açıklama

Anahtar Kelimeler

Gestational diabetes mellitus; Intestinal permeability; Zonulin

Kaynak

Archives of Gynecology and Obstetrics

WoS Q Değeri

Q3

Scopus Q Değeri

Q2

Cilt

1

Sayı

8

Künye

Oral S, Celik S, Akpak YK, Golbasi H, Bayraktar B, Unver G, Sahin S, Yurtcu N, Soyer Caliskan C. Prediction of gestational diabetes mellitus and perinatal outcomes by plasma zonulin levels. Arch Gynecol Obstet. 2022 Aug 22. doi: 10.1007/s00404-022-06751-6. Epub ahead of print. PMID: 35994108.