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DOI 10.1016/j.jdiacomp.2024.108796

Медицинская библиотека · Journal of diabetes and its complications · 2024

Clinical and pathological characteristics of gestational diabetes mellitus with different insulin resistance.

Luo Yidan, Qin Yuqin, Kong Lin, Long Junqing, Lukacs-Kornek Veronika, Li Jian, Wei Hongwei, Qin Jie

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

AIMS: To elucidate the clinical and pathological characteristics of gestational diabetes mellitus (GDM) with high and low insulin resistance.

METHODS

In total, 1393 GDM and 1001 non-GDM singleton deliveries were included in this study. Insulin resistance subtypes were classified according to the HOMA2-IR value. Clinical data were analyzed using SPSS 26.0. Placenta samples were collected for pathological analysis.

RESULTS

Maternal age and fasting glucose were identified as independent risk factors for GDM with high insulin resistance (p < 0.01), while fasting glucose was the sole risk factor for GDM with low insulin resistance (p < 0.001). Fetal distress was associated with both of GDM subtypes (both p < 0.01), while anemia, fetal growth restriction, large for gestational age and intrahepatic cholestasis in pregnancy were related to specific GDM insulin resistance subtype. In addition, GDM with high insulin resistance showed an increase of syncytial knots with down-regulation of PI3K/AKT signaling, while GDM with low insulin resistance showed normal syncytial knot counts and up-regulation of PI3K/AKT signaling.

CONCLUSIONS

Our findings provide novel perspectives to the clinical and pathological comprehensions of GDM with high and low insulin resistance, which might facilitate the mechanism study of GDM and its precision pregnancy management.

Для цитирования: Luo Yidan, Qin Yuqin, Kong Lin, Long Junqing, Lukacs-Kornek Veronika, Li Jian, Wei Hongwei, Qin Jie. Clinical and pathological characteristics of gestational diabetes mellitus with different insulin resistance.. Journal of diabetes and its complications. 2024. DOI: 10.1016/j.jdiacomp.2024.108796.

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