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Maternal Hyperglycemia during Pregnancy Increases Adiposity of Offspring
Hye Rim Chung, Joon Ho Moon, Jung Sub Lim, Young Ah Lee, Choong Ho Shin, Joon-Seok Hong, Soo Heon Kwak, Sung Hee Choi, Hak Chul Jang
Diabetes Metab J. 2021;45(5):730-738.   Published online February 22, 2021
DOI: https://doi.org/10.4093/dmj.2020.0154
  • 6,428 View
  • 191 Download
  • 8 Web of Science
  • 7 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The effect of intrauterine hyperglycemia on fat mass and regional fat proportion of the offspring of mothers with gestational diabetes mellitus (OGDM) remains to be determined.
Methods
The body composition of OGDM (n=25) and offspring of normoglycemic mothers (n=49) was compared using dualenergy X-ray absorptiometry at age 5 years. The relationship between maternal glucose concentration during a 100 g oral glucose tolerance test (OGTT) and regional fat mass or proportion was analyzed after adjusting for maternal prepregnancy body mass index (BMI).
Results
BMI was comparable between OGDM and control (median, 16.0 kg/m2 vs. 16.1 kg/m2 ). Total, truncal, and leg fat mass were higher in OGDM compared with control (3,769 g vs. 2,245 g, P=0.004; 1,289 g vs. 870 g, P=0.017; 1,638 g vs. 961 g, P=0.002, respectively), whereas total lean mass was lower in OGDM (15,688 g vs. 16,941 g, P=0.001). Among OGDM, total and truncal fat mass were correlated with fasting and 3-hour glucose concentrations of maternal 100 g OGTT during pregnancy (total fat mass, r=0.49, P=0.018 [fasting], r=0.473, P=0.023 [3-hour]; truncal fat mass, r=0.571, P=0.004 [fasting], r=0.558, P=0.006 [3-hour]), but there was no correlation between OGDM leg fat mass and maternal OGTT during pregnancy. Regional fat indices were not correlated with concurrent maternal 75 g OGTT values.
Conclusion
Intrauterine hyperglycemia is associated with increased fat mass, especially truncal fat, in OGDM aged 5 years.

Citations

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  • Advances in free fatty acid profiles in gestational diabetes mellitus
    Haoyi Du, Danyang Li, Laura Monjowa Molive, Na Wu
    Journal of Translational Medicine.2024;[Epub]     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
    Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang
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  • High-fat diet during pregnancy lowers fetal weight and has a long-lasting adverse effect on brown adipose tissue in the offspring
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    Bingbing Guo, Jingjing Pei, Yin Xu, Yajie Wang, Xinye Jiang
    Scientific Reports.2023;[Epub]     CrossRef
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    Joon Ho Moon, Hak Chul Jang
    Diabetes & Metabolism Journal.2022; 46(1): 3.     CrossRef
  • Increased Pro-Inflammatory T Cells, Senescent T Cells, and Immune-Check Point Molecules in the Placentas of Patients With Gestational Diabetes Mellitus
    Yea Eun Kang, Hyon-Seung Yi, Min-Kyung Yeo, Jung Tae Kim, Danbit Park, Yewon Jung, Ok Soon Kim, Seong Eun Lee, Ji Min Kim, Kyong Hye Joung, Ju Hee Lee, Bon Jeong Ku, Mina Lee, Hyun Jin Kim
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
Clinical Care/Education
Pregnancy Outcomes of Women Additionally Diagnosed as Gestational Diabetes by the International Association of the Diabetes and Pregnancy Study Groups Criteria
Min Hyoung Kim, Soo Heon Kwak, Sung-Hoon Kim, Joon Seok Hong, Hye Rim Chung, Sung Hee Choi, Moon Young Kim, Hak C. Jang
Diabetes Metab J. 2019;43(6):766-775.   Published online February 28, 2019
DOI: https://doi.org/10.4093/dmj.2018.0192
  • 6,819 View
  • 105 Download
  • 29 Web of Science
  • 30 Crossref
AbstractAbstract PDFPubReader   
Background

We investigated the pregnancy outcomes in women who were diagnosed with gestational diabetes mellitus (GDM) by the International Association of the Diabetes and Pregnancy Study Groups (IADPSG) criteria but not by the Carpenter-Coustan (CC) criteria.

Methods

A total of 8,735 Korean pregnant women were identified at two hospitals between 2014 and 2016. Among them, 2,038 women participated in the prospective cohort to investigate pregnancy outcomes. Diagnosis of GDM was made via two-step approach with 50-g glucose challenge test for screening followed by diagnostic 2-hour 75-g oral glucose tolerance test. Women were divided into three groups: non-GDM, GDM diagnosed exclusively by the IADPSG criteria, and GDM diagnosed by the CC criteria.

Results

The incidence of GDM was 2.1% according to the CC criteria, and 4.1% by the IADPSG criteria. Women diagnosed with GDM by the IADPSG criteria had a higher body mass index (22.0±3.1 kg/m2 vs. 21.0±2.8 kg/m2, P<0.001) and an increased risk of preeclampsia (odds ratio [OR], 6.90; 95% confidence interval [CI], 1.84 to 25.87; P=0.004) compared to non-GDM women. Compared to neonates of the non-GDM group, those of the IADPSG GDM group had an increased risk of being large for gestational age (OR, 2.39; 95% CI, 1.50 to 3.81; P<0.001), macrosomia (OR, 2.53; 95% CI, 1.26 to 5.10; P=0.009), and neonatal hypoglycemia (OR, 3.84; 95% CI, 1.01 to 14.74; P=0.049); they were also at an increased risk of requiring phototherapy (OR, 1.57; 95% CI, 1.07 to 2.31; P=0.022) compared to the non-GDM group.

Conclusion

The IADPSG criteria increased the incidence of GDM by nearly three-fold, and women diagnosed with GDM by the IADPSG criteria had an increased risk of adverse pregnancy outcomes in Korea.

Citations

Citations to this article as recorded by  
  • Gestational diabetes mellitus and adverse maternal and perinatal outcomes in twin and singleton pregnancies: a systematic review and meta-analysis
    Elena Greco, Maria Calanducci, Kypros H. Nicolaides, Eleanor V.H. Barry, Mohammed S.B. Huda, Stamatina Iliodromiti
    American Journal of Obstetrics and Gynecology.2024; 230(2): 213.     CrossRef
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    Kaisa Kariniemi, Marja Vääräsmäki, Tuija Männistö, Sanna Mustaniemi, Eero Kajantie, Sanna Eteläinen, Elina Keikkala, Anneli Pouta, Risto Kaaja, Johan G Eriksson, Hannele Laivuori, Mika Gissler
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    E.V. Popova-Petrosyan, A.A. Dovgan’, E.R. Kulieva
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    Seung-Hwan Lee, Jin Yu, Kyungdo Han, Seung Woo Lee, Sang Youn You, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Mee Kyoung Kim
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