Diabetes & Metabolism Journal

Original Article

Genetics
Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women: Claudia Ha-ting Tam, Ying Wang, Chi Chiu Wang, Lai Yuk Yuen, Cadmon King-poo Lim, Junhong Leng, Ling Wu, Alex Chi-wai Ng, Yong Hou, Kit Ying Tsoi, Hui Wang, Risa Ozaki, Albert Martin Li, Qingqing Wang, Juliana Chung-ngor Chan, Yan Chou Ye, Wing Hung Tam, Xilin Yang, Ronald Ching-wan Ma; Received March 20, 2024 Accepted June 17, 2024 Published online September 20, 2024; DOI: https://doi.org/10.4093/dmj.2024.0139 [Epub ahead of print]

484 View
37 Download

Abstract PDF Supplementary Material PubReader ePub: Background
The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications.
Methods
We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants.
Results
Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; P_meta=7.6×10^-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; P_meta=3.1×10^-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals.
Conclusion
Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Review

Metabolic Risk/Epidemiology
Gestational Diabetes Mellitus and Its Implications across the Life Span: Brandy Wicklow, Ravi Retnakaran; Diabetes Metab J. 2023;47(3):333-344. Published online February 8, 2023; DOI: https://doi.org/10.4093/dmj.2022.0348

8,146 View
587 Download
14 Web of Science
12 Crossref

Gestational diabetes mellitus (GDM) has historically been perceived as a medical complication of pregnancy that also serves as a harbinger of maternal risk of developing type 2 diabetes mellitus (T2DM) in the future. In recent decades, a growing body of evidence has detailed additional lifelong implications that extend beyond T2DM, including an elevated risk of ultimately developing cardiovascular disease. Furthermore, the risk factors that mediate this lifetime cardiovascular risk are evident not only after delivery but are present even before the pregnancy in which GDM is first diagnosed. The concept thus emerging from these data is that the diagnosis of GDM enables the identification of women who are already on an enhanced track of cardiometabolic risk that starts early in life. Studies of the offspring of pregnancies complicated by diabetes now suggest that the earliest underpinnings of this cardiometabolic risk profile may be determined in utero and may first manifest clinically in childhood. Accordingly, from this perspective, GDM is now seen as a chronic metabolic disorder that holds implications across the life span of both mother and child.

Citations

Citations to this article as recorded by

ATP5me alleviates high glucose-induced myocardial cell injury
Qingsha Hou, Fang Yan, Xiuling Li, Huanling Liu, Xiang Yang, Xudong Dong
International Immunopharmacology.2024; 129: 111626. CrossRef
Prevalence and Predictors of Gestational Diabetes Mellitus and Overt Diabetes in Pregnancy: A Secondary Analysis of Nationwide Data from India
Saurav Basu, Vansh Maheshwari, Rutul Gokalani, Chandrakant Lahariya
Preventive Medicine: Research & Reviews.2024; 1(1): 52. CrossRef
Serum betaine and dimethylglycine in mid-pregnancy and the risk of gestational diabetes mellitus: a case-control study
Ziqing Zhou, Yao Yao, Yanan Sun, Xin Wang, Shang Huang, Jianli Hou, Lijun Wang, Fengxiang Wei
Endocrine.2024; 85(2): 649. CrossRef
Quality assessment of videos on social media platforms related to gestational diabetes mellitus in China: A cross-section study
Qin-Yu Cai, Jing Tang, Si-Zhe Meng, Yi Sun, Xia Lan, Tai-Hang Liu
Heliyon.2024; 10(7): e29020. CrossRef
Association of VDR gene variant rs2228570-FokI with gestational diabetes mellitus susceptibility in Arab women
Maysa Alzaim, Mohammed G.A. Ansari, Abeer A. Al-Masri, Malak N.K. Khattak, Abir Alamro, Amani Alghamdi, Amal Alenad, Majed Alokail, Omar S. Al-Attas, Ahmad G. Al-Zahrani, Nasser M. Al-Daghri
Heliyon.2024; 10(11): e32048. CrossRef
Variations in the LINGO2 and GLIS3 Genes and Gene–Environment Interactions Increase Gestational Diabetes Mellitus Risk in Chinese Women
Xiao Huang, Weiwei Liang, Runqiu Yang, Lei Jin, Kai Zhao, Juan Chen, Xuejun Shang, Yuanzhong Zhou, Xin Wang, Hongsong Yu
Environmental Science & Technology.2024; 58(26): 11596. CrossRef
Pre-gestational diabetes mellitus, gestational diabetes mellitus, and its association with the MTHFR C677T polymorphism
Nga Thi Ngoc Pham, Chau Thi Ngoc Huynh, Ai Thuy Thuy Nguyen, Chuong Quoc Ho, Linh My Duong, Dung The Bui, Ha Hong Nguyen
Medicine.2024; 103(28): e38648. CrossRef
Relationship between life’s essential 8 and the risk of gestational diabetes among us adults
Lu Qin, Zhixing Fan, Qian Shi, Hao Hu, Fang Ma, Yanlin Huang, Fengzhi Tan
The Journal of Maternal-Fetal & Neonatal Medicine.2024;[Epub] CrossRef
The role of quercetin in NLRP3-associated inflammation
Jiaqi Wu, Tongtong Lv, Yu Liu, Yifan Liu, Yukun Han, Xin Liu, Xiaochun Peng, Fengru Tang, Jun Cai
Inflammopharmacology.2024;[Epub] CrossRef
Inflammation and decreased cardiovagal modulation are linked to stress and depression at 36th week of pregnancy in gestational diabetes mellitus
Manoharan Renugasundari, Gopal Krushna Pal, Latha Chaturvedula, Nivedita Nanda, K. T. Harichandrakumar, Thiyagarajan Durgadevi
Scientific Reports.2023;[Epub] CrossRef
Women with gestational diabetes mellitus, controlled for plasma glucose level, exhibit maternal and fetal dyslipidaemia that may warrant treatment
Barbara J. Meyer, Colin Cortie, Marloes Dekker-Nitert, Helen L. Barrett, Dilys J. Freeman
Diabetes Research and Clinical Practice.2023; 204: 110929. CrossRef
Pregnancy diet to prevent gestational diabetes: study design and dietary assessments
Sylvia H. Ley
The American Journal of Clinical Nutrition.2023; 118(5): 847. CrossRef

Original Articles

Basic Research
Long Non-Coding RNA TUG1 Attenuates Insulin Resistance in Mice with Gestational Diabetes Mellitus via Regulation of the MicroRNA-328-3p/SREBP-2/ERK Axis: Xuwen Tang, Qingxin Qin, Wenjing Xu, Xuezhen Zhang; Diabetes Metab J. 2023;47(2):267-286. Published online January 19, 2023; DOI: https://doi.org/10.4093/dmj.2021.0216

3,971 View
207 Download
6 Web of Science
5 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
Long non-coding RNAs (lncRNAs) have been illustrated to contribute to the development of gestational diabetes mellitus (GDM). In the present study, we aimed to elucidate how lncRNA taurine upregulated gene 1 (TUG1) influences insulin resistance (IR) in a high-fat diet (HFD)-induced mouse model of GDM.
Methods
We initially developed a mouse model of HFD-induced GDM, from which islet tissues were collected for RNA and protein extraction. Interactions among lncRNA TUG1/microRNA (miR)-328-3p/sterol regulatory element binding protein 2 (SREBP-2) were assessed by dual-luciferase reporter assay. Fasting blood glucose (FBG), fasting insulin (FINS), homeostasis model assessment of insulin resistance (HOMA-IR), HOMA pancreatic β-cell function (HOMA-β), insulin sensitivity index for oral glucose tolerance tests (ISOGTT) and insulinogenic index (IGI) levels in mouse serum were measured through conducting gain- and loss-of-function experiments.
Results
Abundant expression of miR-328 and deficient expression of lncRNA TUG1 and SREBP-2 were characterized in the islet tissues of mice with HFD-induced GDM. LncRNA TUG1 competitively bound to miR-328-3p, which specifically targeted SREBP-2. Either depletion of miR-328-3p or restoration of lncRNA TUG1 and SREBP-2 reduced the FBG, FINS, HOMA-β, and HOMA-IR levels while increasing ISOGTT and IGI levels, promoting the expression of the extracellular signal-regulated kinase (ERK) signaling pathway-related genes, and inhibiting apoptosis of islet cells in GDM mice. Upregulation miR-328-3p reversed the alleviative effects of SREBP-2 and lncRNA TUG1 on IR.
Conclusion
Our study provides evidence that the lncRNA TUG1 may prevent IR following GDM through competitively binding to miR-328-3p and promoting the SREBP-2-mediated ERK signaling pathway inactivation.

Citations

Citations to this article as recorded by

Diabetes and diabetic associative diseases: An overview of epigenetic regulations of TUG1
Mohammed Ageeli Hakami
Saudi Journal of Biological Sciences.2024; 31(5): 103976. CrossRef
Effect of Tinospora cordifolia on gestational diabetes mellitus and its complications
Ritu Rani, Havagiray Chitme, Avinash Kumar Sharma
Women & Health.2023; 63(5): 359. CrossRef
Therapeutic Effect of Tinospora cordifolia (Willd) Extracts on Letrozole-Induced Polycystic Ovarian Syndrome and its Complications in Murine Model
Ritu Rani, Avinash Kumar Sharma, Havagiray R Chitme
Clinical Medicine Insights: Endocrinology and Diabetes.2023;[Epub] CrossRef
The role of ncRNA regulatory mechanisms in diseases—case on gestational diabetes
Dong Gao, Liping Ren, Yu-Duo Hao, Nalini Schaduangrat, Xiao-Wei Liu, Shi-Shi Yuan, Yu-He Yang, Yan Wang, Watshara Shoombuatong, Hui Ding
Briefings in Bioinformatics.2023;[Epub] CrossRef
lncRNA TUG1 as Potential Novel Biomarker for Prognosis of Cardiovascular Diseases
Habib Haybar, Narjes Sadat Sadati, Daryush Purrahman, Mohammad Reza Mahmoudian-Sani, Najmaldin Saki
Epigenomics.2023; 15(23): 1273. CrossRef

Others
Influence of Maternal Diabetes on the Risk of Neurodevelopmental Disorders in Offspring in the Prenatal and Postnatal Periods: Verónica Perea, Xavier Urquizu, Maite Valverde, Marina Macias, Anna Carmona, Esther Esteve, Gemma Escribano, Nuria Pons, Oriol Giménez, Teresa Gironés, Andreu Simó-Servat, Andrea Domenech, Núria Alonso-Carril, Carme Quirós, Antonio J. Amor, Eva López, Maria José Barahona; Diabetes Metab J. 2022;46(6):912-922. Published online April 29, 2022; DOI: https://doi.org/10.4093/dmj.2021.0340

5,709 View
268 Download
9 Web of Science
8 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
This study aimed to evaluate the influence of maternal diabetes in the risk of neurodevelopmental disorders in offspring in the prenatal and postnatal periods.
Methods
This cohort study included singleton gestational diabetes mellitus (GDM) pregnancies >22 weeks’ gestation with live newborns between 1991 and 2008. The control group was randomly selected and matched (1:2) for maternal age, weeks of gestation and birth year. Cox regression models estimated the effect of GDM on the risk of attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and maternal type 2 diabetes mellitus (T2DM). Moreover, interaction between maternal T2DM and GDM-ADHD relationship was evaluated.
Results
Children (n=3,123) were included (1,073 GDM; 2,050 control group). The median follow-up was 18.2 years (interquartile range, 14.2 to 22.3) (n=323 with ADHD, n=36 with ASD, and n=275 from women who developed T2DM). GDM exposure was associated with ADHD (hazard ratio [HR]_crude, 1.67; 95% confidence interval [CI], 1.33 to 2.07) (HR_adjusted, 1.64; 95% CI, 1.31 to 2.05). This association remained significant regardless of the treatment (diet or insulin) and diagnosis after 26 weeks of gestation. Children of mothers who developed T2DM presented higher rates of ADHD (14.2 vs. 10%, P=0.029). However, no interaction was found when T2DM was included in the GDM and ADHD models (P>0.05). GDM was not associated with an increased risk of ASD (HR_adjusted, 1.46; 95% CI, 0.74 to 2.84).
Conclusion
Prenatal exposure to GDM increases the risk of ADHD in offspring, regardless of GDM treatment complexity. However, postnatal exposure to maternal T2DM was not related to the development of ADHD.

Citations

Citations to this article as recorded by

Effects of a Diabetic Microenvironment on Neurodegeneration: Special Focus on Neurological Cells
Vishal Chavda, Dhananjay Yadav, Snehal Patel, Minseok Song
Brain Sciences.2024; 14(3): 284. CrossRef
Understanding the link between different types of maternal diabetes and the onset of autism spectrum disorders
Wenyu Shao, Yichun Su, Jiayin Liu, Yulong Liu, Jinghui Zhao, Xiaotang Fan
Diabetes & Metabolism.2024; 50(4): 101543. CrossRef
Tracing the influence of prenatal risk factors on the offspring retina: Focus on development and putative long‐term consequences
Filipa I. Baptista, António F. Ambrósio
European Journal of Clinical Investigation.2024;[Epub] CrossRef
Risk cycling in diabetes and autism spectrum disorder: a bidirectional Mendelian randomization study
Yunfeng Yu, Xinyu Yang, Gang Hu, Keke Tong, Jingyi Wu, Rong Yu
Frontiers in Endocrinology.2024;[Epub] CrossRef
Maternal Diabetes Deregulates the Expression of Mecp2 via miR-26b-5p in Mouse Embryonic Neural Stem Cells
Sukanya Shyamasundar, Seshadri Ramya, Deepika Kandilya, Dinesh Kumar Srinivasan, Boon Huat Bay, Suraiya Anjum Ansari, S Thameem Dheen
Cells.2023; 12(11): 1516. CrossRef
Evaluating the prospects of using gestational diabetes mellitus model to find means of pharmacological correction of the disorders in rat offspring
A. S. Solomina, A. V. Rodina, K. S. Kachalov, A. D. Zakharov, A. D. Durnev
Pharmacokinetics and Pharmacodynamics.2023; (2): 45. CrossRef
Hair and cord blood element levels and their relationship with air pollution, dietary intake, gestational diabetes mellitus, and infant neurodevelopment
Yin-Yin Xia, Jamie V. de Seymour, Xiao-Jia Yang, Lin-Wei Zhou, Yue Liu, Yang Yang, Kathryn L. Beck, Cathryn A. Conlon, Toby Mansell, Boris Novakovic, Richard Saffery, Ting-Li Han, Hua Zhang, Philip N. Baker
Clinical Nutrition.2023; 42(10): 1875. CrossRef
Role of Excessive Weight Gain During Gestation in the Risk of ADHD in Offspring of Women With Gestational Diabetes
Verónica Perea, Andreu Simó-Servat, Carmen Quirós, Nuria Alonso-Carril, Maite Valverde, Xavier Urquizu, Antonio J Amor, Eva López, Maria-José Barahona
The Journal of Clinical Endocrinology & Metabolism.2022; 107(10): e4203. CrossRef

Metabolic Risk/Epidemiology
Higher Muscle Mass Protects Women with Gestational Diabetes Mellitus from Progression to Type 2 Diabetes Mellitus: Yujin Shin, Joon Ho Moon, Tae Jung Oh, Chang Ho Ahn, Jae Hoon Moon, Sung Hee Choi, Hak Chul Jang; Diabetes Metab J. 2022;46(6):890-900. Published online April 28, 2022; DOI: https://doi.org/10.4093/dmj.2021.0334

5,747 View
238 Download
4 Web of Science
4 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
We evaluated whether postpartum muscle mass affects the risk of type 2 diabetes mellitus (T2DM) in Korean women with gestational diabetes mellitus (GDM).
Methods
A total of 305 women with GDM (mean age, 34.9 years) was prospectively evaluated for incident prediabetes and T2DM from 2 months after delivery and annually thereafter. Appendicular skeletal muscle mass (ASM) was assessed with bioelectrical impedance analysis at the initial postpartum visit, and ASM, either divided by body mass index (BMI) or squared height, and the absolute ASM were used as muscle mass indices. The risk of incident prediabetes and T2DM was assessed according to tertiles of these indices using a logistic regression model.
Results
After a mean follow-up duration of 3.3 years, the highest ASM/BMI tertile group had a 61% lower risk of incident prediabetes and T2DM compared to the lowest tertile group, and this remained significant after we adjusted for covariates (adjusted odds ratio, 0.37; 95% confidence interval [CI], 0.15 to 0.92; P=0.032). Equivalent findings were observed in normal weight women (BMI <23 kg/m²), but this association was not significant for overweight women (BMI ≥23 kg/m²). Absolute ASM or ASM/height² was not associated with the risk of postpartum T2DM.
Conclusion
A higher muscle mass, as defined by the ASM/BMI index, was associated with a lower risk of postpartum prediabetes and T2DM in Korean women with GDM.

Citations

Citations to this article as recorded by

Low muscle mass index is associated with type 2 diabetes risk in a Latin-American population: a cross-sectional study
Rosario Suárez, Celina Andrade, Estefania Bautista-Valarezo, Yoredy Sarmiento-Andrade, Andri Matos, Oliver Jimenez, Martha Montalvan, Sebastián Chapela
Frontiers in Nutrition.2024;[Epub] CrossRef
More appendicular lean mass relative to body mass index is associated with lower incident diabetes in middle-aged adults in the CARDIA study
Melanie S. Haines, Aaron Leong, Bianca C. Porneala, Victor W. Zhong, Cora E. Lewis, Pamela J. Schreiner, Karen K. Miller, James B. Meigs, Mercedes R. Carnethon
Nutrition, Metabolism and Cardiovascular Diseases.2023; 33(1): 105. CrossRef
The Association of the Triglyceride and Muscle to Fat Ratio During Early Pregnancy with the Development of Gestational Diabetes Mellitus
Fang Wang, Yuan-Yuan Bao, Kang Yu
Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 3187. CrossRef
Correlation of body composition in early pregnancy on gestational diabetes mellitus under different body weights before pregnancy
Li Xintong, Xu Dongmei, Zhang Li, Cao Ruimin, Hao Yide, Cui Lingling, Chen Tingting, Guo Yingying, Li Jiaxin
Frontiers in Endocrinology.2022;[Epub] CrossRef

Review

Metabolic Risk/Epidemiology
Gestational Diabetes Mellitus: Diagnostic Approaches and Maternal-Offspring Complications: Joon Ho Moon, Hak Chul Jang; Diabetes Metab J. 2022;46(1):3-14. Published online January 27, 2022; DOI: https://doi.org/10.4093/dmj.2021.0335

20,130 View
1,114 Download
93 Web of Science
95 Crossref

Graphical Abstract Abstract PDF PubReader ePub

Gestational diabetes mellitus (GDM) is the most common complication during pregnancy and is defined as any degree of glucose intolerance with onset or first recognition during pregnancy. GDM is associated with adverse pregnancy outcomes and long-term offspring and maternal complications. For GDM screening and diagnosis, a two-step approach (1-hour 50 g glucose challenge test followed by 3-hour 100 g oral glucose tolerance test) has been widely used. After the Hyperglycemia and Adverse Pregnancy Outcome study implemented a 75 g oral glucose tolerance test in all pregnant women, a one-step approach was recommended as an option for the diagnosis of GDM after 2010. The one-step approach has more than doubled the incidence of GDM, but its clinical benefit in reducing adverse pregnancy outcomes remains controversial. Long-term complications of mothers with GDM include type 2 diabetes mellitus and cardiovascular disease, and complications of their offspring include childhood obesity and glucose intolerance. The diagnostic criteria of GDM should properly classify women at risk for adverse pregnancy outcomes and long-term complications. The present review summarizes the strengths and weaknesses of the one-step and two-step approaches for the diagnosis of GDM based on recent randomized controlled trials and observational studies. We also describe the long-term maternal and offspring complications of GDM.

Citations

Citations to this article as recorded by

Prophylactic administration of metformin reduces gestational diabetes mellitus incidence in the high-risk populations: a meta-analysis
Hui Yu, Jinling Sun, Honglei Hu
Irish Journal of Medical Science (1971 -).2024; 193(1): 199. CrossRef
Association of dietary inflammatory index with risk of gestational diabetes mellitus and preeclampsia: a systematic review and meta-analysis
Li Hong, Liyuan Zhu, Jinru Zhang, Yueqi Fu, Xiaoyan Qi, Mei Zhao
British Journal of Nutrition.2024; 131(1): 54. CrossRef
Ferritin and iron supplements in gestational diabetes mellitus: less or more?
Tianlian Li, Jingfan Zhang, Ping Li
European Journal of Nutrition.2024; 63(1): 67. CrossRef
Comparing the screening methods for gestational diabetes mellitus before and during the COVID‐19 pandemic: A systematic review
Xingge Sun, Clare McKeaveney, Helen Noble, Hannah O’Hara, Oliver Perra
Journal of Diabetes Investigation.2024; 15(4): 500. CrossRef
Protective Effects of Paeoniflorin Against Inflammation and Oxidative Stress in Rats with Gestational Diabetes Mellitus via Inhibiting the RhoA/ROCK Signaling Pathway
Cheng kun Yuan, Yan Gao, Jinglu Yu, Limin Peng
Revista Brasileira de Farmacognosia.2024; 34(3): 536. CrossRef
METTL14‐mediated lncRNA XIST silencing alleviates GDM progression by facilitating trophoblast cell proliferation and migration via the miR‐497‐5p/FOXO1 axis
Yanchuan Li, Yanfeng Liu, Xiao Yao, Haili Wang, Ziyun Shi, Meiqing He
Journal of Biochemical and Molecular Toxicology.2024;[Epub] CrossRef
Evaluation of insulin secretion and insulin sensitivity in pregnant women: Application value of simple indices
Shuying Ren, Dan Wu, Ping Li
Clinica Chimica Acta.2024; 554: 117753. CrossRef
ATP5me alleviates high glucose-induced myocardial cell injury
Qingsha Hou, Fang Yan, Xiuling Li, Huanling Liu, Xiang Yang, Xudong Dong
International Immunopharmacology.2024; 129: 111626. CrossRef
Aberrant NK cell profile in gestational diabetes mellitus with fetal growth restriction
Yujing Xiong, Yazhen Wang, Mengqi Wu, Shuqiang Chen, Hui Lei, Hui Mu, Haikun Yu, Yongli Hou, Kang Tang, Xutao Chen, Jie Dong, Xiaohong Wang, Lihua Chen
Frontiers in Immunology.2024;[Epub] CrossRef
Maternal Diabetes and Risk of Hypospadias: A Systemic Review and Meta-Analysis
Zhiyuan Liu, Chengjun Yu, Shuhan Yang, Jin Luo, Jie Zhang, Xiao Wang, Chun Wei, Qinlin Shi, Yi Hua, Xing Liu, Guanghui Wei
Urologia Internationalis.2024; 108(2): 108. CrossRef
Maternal birth weight as an indicator of early and late gestational diabetes mellitus: The Japan Environment and Children's Study
Kazuma Tagami, Noriyuki Iwama, Hirotaka Hamada, Hasumi Tomita, Rie Kudo, Natsumi Kumagai, Hongxin Wang, Seiya Izumi, Zen Watanabe, Mami Ishikuro, Taku Obara, Nozomi Tatsuta, Hirohito Metoki, Chiharu Ota, Takashi Sugiyama, Shinichi Kuriyama, Takahiro Arima
Journal of Diabetes Investigation.2024; 15(6): 751. CrossRef
Perinatal characteristics and pregnancy outcomes of advanced maternal age women with gestational diabetes mellitus: A retrospective cohort study
Chen Jiang, Haiyan Wen, Tingting Hu, Yanfei Liu, Xiaoqing Dai, Yiming Chen
Health Science Reports.2024;[Epub] CrossRef
Phenotypic characterisation of regulatory T cells in patients with gestational diabetes mellitus
Ya-nan Zhang, Qin Wu, Yi-hui Deng
Scientific Reports.2024;[Epub] CrossRef
Healthy behaviors and gestational diabetes mellitus in an Iranian setting: A cross-sectional study
Maryam Zare, Afrouz Mardi, Paria Yeghanenia, Daniel Hackett
Medicine.2024; 103(9): e36431. CrossRef
Post‐load glucose is a stronger predictor of adverse pregnancy outcomes than first‐trimester HbA1c in women without gestational diabetes
Shahin Keshtkar Rajabi, Elham Toghraee, Golnoosh Nejatipour
Journal of Diabetes Investigation.2024; 15(7): 914. CrossRef
Triglyceride-glucose index in early pregnancy predicts the risk of gestational diabetes: a prospective cohort study
Yufeng Guo, Junwen Lu, Mailiman Bahani, Guifeng Ding, Lei Wang, Yuxia Zhang, Huanmei Zhang, Chengyao Liu, Lijun Zhou, Xiaolan Liu, Fangshen Li, Xiaoli Wang, Hong Ding
Lipids in Health and Disease.2024;[Epub] CrossRef
A study on behavior, diet patterns and physical activity among selected GDM and non-GDM women in south India
S Sindhu, S Uma Mageshwari
Journal of Diabetology.2024; 15(1): 86. CrossRef
The Implication of Diabetes-Specialized Nurses in Aiming for the Better Treatment and Management of Patients with Diabetes Mellitus: A Brief Narrative Review
Yefang Zhu, Hongmei Zhang, Ying Xi, Hongli Zhu, Yan Lu, Xue Luo, Zhangui Tang, Hong Lei
Diabetes Therapy.2024; 15(5): 917. CrossRef
Triglyceride-glucose index: A promising biomarker for predicting risks of adverse pregnancy outcomes in Hangzhou, China
Jinghua Zhang, Binbin Yin, Ya Xi, Yongying Bai
Preventive Medicine Reports.2024; 41: 102683. CrossRef
Associations of education attainment with gestational diabetes mellitus and the mediating effects of obesity: A Mendelian randomization study
Xiaoyan Wang, Ying Lan, Na Li, Jinfeng Gao, Dejiao Meng, Shuchuan Miao
Heliyon.2024; 10(7): e29000. CrossRef
Quality assessment of videos on social media platforms related to gestational diabetes mellitus in China: A cross-section study
Qin-Yu Cai, Jing Tang, Si-Zhe Meng, Yi Sun, Xia Lan, Tai-Hang Liu
Heliyon.2024; 10(7): e29020. CrossRef
One abnormal value in oral glucose tolerance test during pregnancy and type 2 diabetes risk: Insights from a 5-Year Follow-Up study
Rawia Hussein-Aro, Esther Maor-Sagie, Yoel Toledano, Mordechai Hallak, Rinat Gabbay-Benziv
Diabetes Research and Clinical Practice.2024; 211: 111659. CrossRef
Assessment of the Level of Knowledge About Risk Factors, Prevention, and Treatment of Gestational Diabetes Mellitus in a Community Sample From Saudi Arabia
Suzan A Morsy, Ayat M Tawfik, Samar Y Badayyan, Lameer K Shaikh, Shaden AzizKhan, AlKhansaa A Zakari
Cureus.2024;[Epub] CrossRef
Genetic Susceptibility, Mendelian Randomization, and Nomogram Model Construction of Gestational Diabetes Mellitus
Qiulian Liang, Ming Li, Gongchen Huang, Ruiqi Li, Linyuan Qin, Ping Zhong, Xuekun Xing, Xiangyuan Yu
The Journal of Clinical Endocrinology & Metabolism.2024;[Epub] CrossRef
Study on the regulation of trophoblast activity by abnormally expressed hsa_circ_0024838/miR-543/HIF1A in patients with gestational diabetes mellitus
Qian Liu, Juan Gui, Lianzhi Wu
Placenta.2024; 151: 27. CrossRef
Association between sleep duration during pregnancy and gestational diabetes mellitus: a systematic review and meta-analysis
Yuandong Li, Chao Liang, Cui Wu, Zheng Nan
Frontiers in Medicine.2024;[Epub] CrossRef
Ultrasonographic diagnosis of fetal hemodynamic parameters in pregnant women with diabetes mellitus in the third trimester of pregnancy
Dongmei Cai, Su Yan
Heliyon.2024; 10(11): e30352. CrossRef
Gestational diabetes mellitus and development of intergenerational non-alcoholic fatty liver disease (NAFLD) after delivery: a systematic review and meta-analysis
Ru Xun Foo, Jenny Junyi Ma, Ruochen Du, George Boon Bee Goh, Yap Seng Chong, Cuilin Zhang, Ling-Jun Li
eClinicalMedicine.2024; 72: 102609. CrossRef
Perceptions of Chinese women with a history of gestational diabetes regarding health behaviors and related factors: a directed qualitative content analysis
Xiaoxia Ma, Yun Yang, Shuhua Qian, Yan Ding, Qiping Lin, Na Wang
BMC Public Health.2024;[Epub] CrossRef
Associations of serum D-dimer and glycosylated hemoglobin levels with third-trimester fetal growth restriction in gestational diabetes mellitus
Ying Zhang, Teng Li, Chao-Yan Yue, Yun Liu
World Journal of Diabetes.2024; 15(5): 914. CrossRef
Characterizing the Dynamic Expression of C1q/TNF-α-Related Protein 6 (CTRP6) during Pregnancy in Humans and Mice with Gestational Diabetes Mellitus
Jianan Jiang, Shuangyu Wei, Miao Chen, Yutian Tan, Zhao Yang, Guiying Yang, Weijie Feng, Zhen Han, Xiaojing Wei, Xiao Luo
Biomedicines.2024; 12(5): 1128. CrossRef
Influence of mHealth-Based Lifestyle Interventions on Symptoms of Anxiety and Depression of Women With Gestational Diabetes: A Meta-Analysis
Rong Liao, Yamin Li, Hui Yang, Yaoyue Luo
Clinical Nursing Research.2024; 33(6): 448. CrossRef
Association of VDR gene variant rs2228570-FokI with gestational diabetes mellitus susceptibility in Arab women
Maysa Alzaim, Mohammed G.A. Ansari, Abeer A. Al-Masri, Malak N.K. Khattak, Abir Alamro, Amani Alghamdi, Amal Alenad, Majed Alokail, Omar S. Al-Attas, Ahmad G. Al-Zahrani, Nasser M. Al-Daghri
Heliyon.2024; 10(11): e32048. CrossRef
Placental Expression of Glucose and Zinc Transporters in Women with Gestational Diabetes
Łukasz Ustianowski, Michał Czerewaty, Kajetan Kiełbowski, Estera Bakinowska, Maciej Tarnowski, Krzysztof Safranow, Andrzej Pawlik
Journal of Clinical Medicine.2024; 13(12): 3500. CrossRef
Development and validation of gestational diabetes mellitus health literacy scale
Ruting Gu, Tong Sun, Yueshuai Pan, Jingyuan Wang, Qianqian Li, Yan Zhang, Yalin Tang, Haiqing Zhou, Lili Wei
Patient Education and Counseling.2024; 127: 108365. CrossRef
Efectele placentare ale rezistenţei la insulină în sarcinile complicate cu diabet zaharat gestaţional
Ionescu Gabriela, Marina Nicolae-Gabriel, Scurtu Francesca, Dorneanu Denisa, Edu Mihnea-Dan, Mateescu Radu-Nicolae, Mihaela Plotogea, Antoine Edu, Claudia Mehedinţu, Noditi Aniela
Obstetrica şi Ginecologia.2024; 2(73): 74. CrossRef
The problem of diabetes mellitus in obstetrics
E.V. Popova-Petrosyan, A.A. Dovgan’, E.R. Kulieva
Russian Bulletin of Obstetrician-Gynecologist.2024; 24(3): 25. CrossRef
Second‐trimester triglyceride‐glucose index to predict adverse outcomes in women with gestational diabetes mellitus: A retrospective multicenter cohort study
Xueqi Bai, Qingyi Zhu, Wenli Wang, Sutong Kan, Shiman Hu, Runrun Hao, Shanshan Wang, Zhonghua Shi
Journal of Diabetes Investigation.2024; 15(10): 1489. CrossRef
Therapeutic effect of Momordica charantia on cardiomyopathy in a diabetic maternal rat model
Shaimaa M. Elnahas, Hend Abd El‐Halim Mansour, Mamdouh R. El‐Sawi, Amoura M. Abou‐El‐Naga
Journal of Experimental Zoology Part A: Ecological and Integrative Physiology.2024; 341(9): 977. CrossRef
Functional genetic variants and susceptibility and prediction of gestational diabetes mellitus
Gongchen Huang, Yan Sun, Ruiqi Li, Lei Mo, Qiulian Liang, Xiangyuan Yu
Scientific Reports.2024;[Epub] CrossRef
Early Methylglyoxal Exposure Leads to Worsened Cardiovascular Function in Young Rats
Marcos Divino Ferreira-Junior, Keilah Valéria N. Cavalcante, Jaqueline M. Costa, Amanda S. M. Bessa, Andreia Amaro, Carlos Henrique de Castro, Carlos Henrique Xavier, Sónia Silva, Diogo A. Fonseca, Paulo Matafome, Rodrigo Mello Gomes
Nutrients.2024; 16(13): 2029. CrossRef
The prevalence of gestational diabetes among underweight and normal weight women worldwide: a scoping review
Emily S. Gitlin, Michelle Demetres, Arthi Vaidyanathan, Nicole Palmer, Hannah Lee, Sabrina Loureiro, Eman Radwan, Abigail Tuschman, Jyoti Mathad, Puja Chebrolu
Frontiers in Clinical Diabetes and Healthcare.2024;[Epub] CrossRef
Metformin administration during pregnancy tends to reduce the risk of gestational diabetes mellitus and improve pregnancy outcomes in previously infertile women with polycystic ovary syndrome who become pregnant
Huamei Liu, Yajia Liu, Changhe Wei, Shoujiu Zhang, Yanjie Xu
Irish Journal of Medical Science (1971 -).2024;[Epub] CrossRef
Longitudinal integrative cell-free DNA analysis in gestational diabetes mellitus
Zhuangyuan Tang, Shuo Wang, Xi Li, Chengbin Hu, Qiangrong Zhai, Jing Wang, Qingshi Ye, Jinnan Liu, Guohong Zhang, Yuanyuan Guo, Fengxia Su, Huikun Liu, Lingyao Guan, Chang Jiang, Jiayu Chen, Min Li, Fangyi Ren, Yu Zhang, Minjuan Huang, Lingguo Li, Haiqian
Cell Reports Medicine.2024; 5(8): 101660. CrossRef
Dual-mode detection of glucose based on pistol-like DNAzyme-mediated exonuclease-assisted signal cycle
Huiying Lu, Xiaofeng Wang
BioTechniques.2024; : 1. 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
Diabetes & Metabolism Journal.2024; 48(4): 546. CrossRef
Metformin inhibits OCT3-mediated serotonin transport in the placenta
Veronika Vachalova, Fiona Kumnova, Tetiana Synova, Kasin Yadunandam Anandam, Cilia Abad, Rona Karahoda, Frantisek Staud
Biomedicine & Pharmacotherapy.2024; 179: 117399. CrossRef
Effects of multidimensional exercise management on self-efficacy, blood glucose control, and delivery outcomes in pregnant women with gestational diabetes mellitus
Ying He, Xin Liu, Xiali Yang
Frontiers in Physiology.2024;[Epub] CrossRef
Letter to the Editor: Comment on “The association between prepregnancy dietary fatty acids and risk of gestational diabetes mellitus: A prospective cohort study”
Joaci Pereira dos Santos Júnior, Erika Vanesa Cadena-Burbano, Raul Manhães-de-Castro, Ana Elisa Toscano
Clinical Nutrition ESPEN.2024; 63: 694. CrossRef
Role of the "Ana Goitia" diabetes day hospital in the reduction of maternal and infant morbimortality
Cecilia Noelia Ramos, Estela Mercedes Acosta
SCT Proceedings in Interdisciplinary Insights and Innovations.2024; 2: 348. CrossRef
Lysophosphatidylcholine Impairs the Mitochondria Homeostasis Leading to Trophoblast Dysfunction in Gestational Diabetes Mellitus
Shao-Chi Hung, Te-Fu Chan, Hsiu-Chuan Chan, Chia-Ying Wu, Mei-Lin Chan, Jie-Yang Jhuang, Ji-Qin Tan, Jia-Bin Mei, Shi-Hui Law, Vinoth Kumar Ponnusamy, Hua-Chen Chan, Liang-Yin Ke
Antioxidants.2024; 13(8): 1007. CrossRef
Effect of High Glucose on Embryological Development of Zebrafish, Brachyodanio, Rerio through Wnt Pathway
Ebony Thompson, Justin Hensley, Renfang Song Taylor
International Journal of Molecular Sciences.2024; 25(17): 9443. CrossRef
Periodontitis and diabetes in pregnant rats: Maternal-fetal outcomes
Samuel Santos Souza, Larissa Lopes Cruz, Amanda Munnick Alves-Reis, Vanessa Queiros Costa, Rafaianne Queiroz Moraes-Souza, Débora Cristina Damasceno, Gustavo Tadeu Volpato
Heliyon.2024; 10(17): e37394. CrossRef
MODULAÇÃO DA MICROBIOTA INTESTINAL NO DIABETES MELLITUS GESTACIONAL: ALVO POTENCIAL TERAPÊUTICO NA ATENUAÇÃO DOS DESFECHOS ADVERSOS MATERNOS E FETAIS
Rafaela da Silva Rocha, Adrielly Suely Santos Pereira, Marília Oliveira Fonseca Goulart, Elaine Luiza Santos Soares de Mendonça, Alane Cabral Menezes de Oliveira
Revista Contemporânea.2024; 4(9): e5677. CrossRef
Gestational diabetes mellitus: ensuring healthy futures
Harriet D Morgan, Malak Hamza, Amy E Morrison, Cathy Campbell, Caroline Borg Cassar, Sheena Thayyil, Claire L Meek
British Journal of Midwifery.2024; 32(10): 552. CrossRef
Effects of Three Exercise Interventions on Pregnancy and Neonatal Outcomes in Chinese Women with Gestational Diabetes Mellitus: A Prospective Cohort Study
Yingchun Zeng, Xiaohui Meng, Meiling Wen, Yin Qin, Xiaorong Wang, Xia Dai, Qiuhong Huang
Clinical and Experimental Obstetrics & Gynecology.2024;[Epub] CrossRef
Insulin aspart plus high-dose vitamin D supplementation for gestational diabetes mellitus: analysis of efficacy and risk factors for maternal and infant outcomes
Huiying Qiu
American Journal of Translational Research.2024; 16(8): 4200. CrossRef
Influencing factors of glycemic control in singleton pregnancies complicated by gestational diabetes mellitus in western China: A retrospective study
Jiani Zhang, Chihui Mao, Qi Cao, Guiqiong Huang, Xiaodong Wang
Medicine.2024; 103(38): e39853. CrossRef
Position statement of Italian Society of Obesity (SIO): Gestational Obesity
Luigi Barrea, Stefania Camastra, Silvia Garelli, Valeria Guglielmi, Melania Manco, Fernanda Velluzzi, Rocco Barazzoni, Ludovica Verde, Giovanna Muscogiuri
Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity.2024;[Epub] CrossRef
U-shaped Association Between Folic Acid Supplementation and the Risk of Gestational Diabetes Mellitus in Chinese Women
Jiuming Zou, Qiang Fu, Xiaoliu Huang, Zhao Yao, Weiye Wang
Canadian Journal of Diabetes.2023; 47(1): 78. CrossRef
Vitamin D Supplementation for the Outcomes of Patients with Gestational Diabetes Mellitus and Neonates: A Meta-Analysis and Systematic Review
Chunfeng Wu, Yang Song, Xueying Wang, Pier P. Sainaghi
International Journal of Clinical Practice.2023; 2023: 1. CrossRef
Lipolysis and gestational diabetes mellitus onset: a case-cohort genome-wide association study in Chinese
Miao Zhang, Qing Li, Kai-Lin Wang, Yao Dong, Yu-Tong Mu, Yan-Min Cao, Jin Liu, Zi-Heng Li, Hui-Lu Cui, Hai-Yan Liu, An-Qun Hu, Ying-Jie Zheng
Journal of Translational Medicine.2023;[Epub] CrossRef
Interactive effect of prepregnancy overweight/obesity and GDM history on prevalence of GDM in biparous women
Xia Xu, Feipeng Huang, Yanni Guo, Lianghui Zheng, Jianying Yan
Frontiers in Endocrinology.2023;[Epub] CrossRef
Microbiome Changes in Pregnancy Disorders
Luca Giannella, Camilla Grelloni, Dayana Quintili, Alessia Fiorelli, Ramona Montironi, Sonila Alia, Giovanni Delli Carpini, Jacopo Di Giuseppe, Arianna Vignini, Andrea Ciavattini
Antioxidants.2023; 12(2): 463. CrossRef
Effects of early standardized management on the growth trajectory of offspring with gestational diabetes mellitus at 0–5 years old: a preliminary longitudinal study
Bingbing Guo, Jingjing Pei, Yin Xu, Yajie Wang, Xinye Jiang
Scientific Reports.2023;[Epub] CrossRef
Prediction model for gestational diabetes mellitus using the XG Boost machine learning algorithm
Xiaoqi Hu, Xiaolin Hu, Ya Yu, Jia Wang
Frontiers in Endocrinology.2023;[Epub] CrossRef
Prevalence and outcomes of gestational diabetes mellitus in Indian women: Insights from a large real-world study over ten years at tertiary care research institute
Sanjay Gupte, Gayatri Venkataraman, Aarti S. Shah, Shalaka Jamenis, Chandrakant Rao, Shweta M. Jangam, Kaveri M. Adki, Onkar C. Swami
International Journal of Diabetes in Developing Countries.2023; 43(4): 511. CrossRef
Gestational diabetes mellitus: state of art
S. A. Pletneva, E. V. Enkova, O. V. Khoperskaya, S. V. Shamarin, V. V. Enkova
Meditsinskiy sovet = Medical Council.2023; (5): 136. CrossRef
Effect of folic acid supplementation in the association between short sleep duration and gestational diabetes mellitus
Zhen Yang, Sisi Hu, Wei Tong, Zhihao Xu, Xiaoliu Huang, Weiye Wang
Sleep and Breathing.2023; 27(6): 2509. CrossRef
Birth weight and large for gestational age trends in offspring of pregnant women with gestational diabetes mellitus in southern China, 2012-2021
Li-Rong He, Li Yu, Yong Guo
Frontiers in Endocrinology.2023;[Epub] CrossRef
Root causes of long-term complications of gestational diabetes mellitus: Metabolic disturbances of the host and gut microbiota
Mingjin Tao, Gaochen Lu, Sheng Zhang, Pan Li
Clinica Chimica Acta.2023; 548: 117490. CrossRef
Analysis on Related Risk Factors for Gestational Diabetes Mellitus (GDM) in Subsequent Pregnancies in Multiparous Women with No History of GDM
文静张
Advances in Clinical Medicine.2023; 13(07): 11628. CrossRef
Fetoplacental endothelial dysfunction in gestational diabetes mellitus and maternal obesity: A potential threat for programming cardiovascular disease
Mariana S. Diniz, Ursula Hiden, Inês Falcão-Pires, Paulo J. Oliveira, Luis Sobrevia, Susana P. Pereira
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.2023; 1869(8): 166834. CrossRef
Diagnosis and management of gestational diabetes mellitus
Tae Jung Oh
Journal of the Korean Medical Association.2023; 66(7): 414. CrossRef
Hypoglycemia in Children: Major Endocrine-Metabolic Causes and Novel Therapeutic Perspectives
Alessia Quarta, Daniela Iannucci, Miriana Guarino, Annalisa Blasetti, Francesco Chiarelli
Nutrients.2023; 15(16): 3544. CrossRef
Relation between weight gain during pregnancy and postpartum reclassification in gestational diabetes
Sofia Coelho, Marta Canha, Ana Rita Leite, João Sérgio Neves, Ana Isabel Oliveira, Davide Carvalho, Maria do Céu Ameida
Endocrine.2023; 82(2): 296. CrossRef
Nurturing through Nutrition: Exploring the Role of Antioxidants in Maternal Diet during Pregnancy to Mitigate Developmental Programming of Chronic Diseases
Mariana S. Diniz, Carina C. Magalhães, Carolina Tocantins, Luís F. Grilo, José Teixeira, Susana P. Pereira
Nutrients.2023; 15(21): 4623. CrossRef
Blood manganese level and gestational diabetes mellitus: a systematic review and meta-analysis
Yingmei Sun, Yu Zhang
Journal of Obstetrics and Gynaecology.2023;[Epub] CrossRef
Multiparity increases the risk of diabetes by impairing the proliferative capacity of pancreatic β cells
Joon Ho Moon, Joonyub Lee, Kyun Hoo Kim, Hyun Jung Kim, Hyeongseok Kim, Hye-Na Cha, Jungsun Park, Hyeonkyu Lee, So-young Park, Hak Chul Jang, Hail Kim
Experimental & Molecular Medicine.2023; 55(10): 2269. CrossRef
Physiological Mechanisms Inherent to Diabetes Involved in the Development of Dementia: Alzheimer’s Disease
Himan Mohamed-Mohamed, Victoria García-Morales, Encarnación María Sánchez Lara, Anabel González-Acedo, Teresa Pardo-Moreno, María Isabel Tovar-Gálvez, Lucía Melguizo-Rodríguez, Juan José Ramos-Rodríguez
Neurology International.2023; 15(4): 1253. CrossRef
Synergistic effect between pre-pregnancy smoking and assisted reproductive technology on gestational diabetes mellitus in twin pregnancies
Lingyu Zhang, Yan Huang, Mingjin Zhang, Yanqi Jin
Acta Diabetologica.2023; 61(2): 205. CrossRef
A Comprehensive Review of Gestational Diabetes Mellitus: Impacts on Maternal Health, Fetal Development, Childhood Outcomes, and Long-Term Treatment Strategies
Vaishnavi S Nakshine, Sangita D Jogdand
Cureus.2023;[Epub] CrossRef
The role of dietary fiber on preventing gestational diabetes mellitus in an at-risk group of high triglyceride-glucose index women: a randomized controlled trial
Yannan Cao, Jing Sheng, Dongyao Zhang, Li Chen, Ying Jiang, Decui Cheng, Yao Su, Yuexin Yu, Haoyi Jia, Pengyuan He, Li Wang, Xianming Xu
Endocrine.2023; 82(3): 542. CrossRef
Correlation between PAPP-A serum levels in the first trimester of pregnancy with the occurrence of gestational diabetes, a multicenter cohort study
Sedigheh Borna, Masoumeh Ashrafzadeh, Marjan Ghaemi, Nasim Eshraghi, Nafiseh Hivechi, Sedigheh Hantoushzadeh
BMC Pregnancy and Childbirth.2023;[Epub] CrossRef
Impact of COVID-19 lockdown on glycemic levels during pregnancy: A retrospective analysis
Erika Di Zazzo, Sergio Davinelli, Serena Panichella, Giovanni Scapagnini, Mariano Intrieri, Silvio Garofalo
Open Medicine.2023;[Epub] CrossRef
Advancements in Nutritional Strategies for Gestational Diabetes Management: A Systematic Review of Recent Evidence
Juan Carlos Sánchez-García, Ines Saraceno López-Palop, Beatriz Piqueras-Sola, Jonathan Cortés-Martín, Elena Mellado-García, Inmaculada Muñóz Sánchez, Raquel Rodríguez-Blanque
Journal of Clinical Medicine.2023; 13(1): 37. CrossRef
Comparative efficacy and safety of glyburide, metformin, and insulin in treatment of gestational diabetes mellitus
Jing Lin, Rong-zu Tu, Xun-yu Hong
Medicine.2022;[Epub] CrossRef
Stacking Ensemble Method for Gestational Diabetes Mellitus Prediction in Chinese Pregnant Women: A Prospective Cohort Study
Ruiyi Liu, Yongle Zhan, Xuan Liu, Yifang Zhang, Luting Gui, Yimin Qu, Hairong Nan, Yu Jiang, Mehdi Gheisari
Journal of Healthcare Engineering.2022; 2022: 1. CrossRef
Secular increase in the prevalence of gestational diabetes and its associated adverse pregnancy outcomes from 2014 to 2021 in Hebei province, China
Mei-Ling Tian, Li-Yan Du, Guo-Juan Ma, Ting Zhang, Xu-Yuan Ma, Ying-Kui Zhang, Zeng-Jun Tang
Frontiers in Endocrinology.2022;[Epub] CrossRef
Aquaporin-8 overexpression is involved in vascular structure and function changes in placentas of gestational diabetes mellitus patients
Yanxing Shan, Jiawen Cui, Xinyi Kang, Weichun Tang, Yiling Lu, Ying Gao, Liping Chen
Open Life Sciences.2022; 17(1): 1473. CrossRef
Vitamin D status and levels of pro-inflammatory cytokines in newborns born to mothers with endocrine diseases
N. E. Verisokina, L. Ya. Klimov, I. N. Zakharova, A. L. Zaplatnikov, V. V. Zubkov, A. A. Momotova, V. A. Kuryaninova, R. A. Atanesyan, T. V. Zhelezniakova, M. A. Petrosyan, D. V. Bobryshev, D. A. Volkov, Z. A. Magomadova
Meditsinskiy sovet = Medical Council.2022; (19): 9. CrossRef
IL-6 and IL-8: An Overview of Their Roles in Healthy and Pathological Pregnancies
Aleksandra Vilotić, Mirjana Nacka-Aleksić, Andrea Pirković, Žanka Bojić-Trbojević, Dragana Dekanski, Milica Jovanović Krivokuća
International Journal of Molecular Sciences.2022; 23(23): 14574. CrossRef
Higher Muscle Mass Protects Women with Gestational Diabetes Mellitus from Progression to Type 2 Diabetes Mellitus
Yujin Shin, Joon Ho Moon, Tae Jung Oh, Chang Ho Ahn, Jae Hoon Moon, Sung Hee Choi, Hak Chul Jang
Diabetes & Metabolism Journal.2022; 46(6): 890. CrossRef
Identification of human placenta-derived circular RNAs and autophagy related circRNA-miRNA-mRNA regulatory network in gestational diabetes mellitus
Yindi Bao, Jun Zhang, Yi Liu, Lianzhi Wu, Jing Yang
Frontiers in Genetics.2022;[Epub] CrossRef
The Role of Dietary Polyphenols in Pregnancy and Pregnancy-Related Disorders
Mirjana Nacka-Aleksić, Andrea Pirković, Aleksandra Vilotić, Žanka Bojić-Trbojević, Milica Jovanović Krivokuća, Francesca Giampieri, Maurizio Battino, Dragana Dekanski
Nutrients.2022; 14(24): 5246. CrossRef

Original Articles

Metabolic Risk/Epidemiology
Postprandial Free Fatty Acids at Mid-Pregnancy Increase the Risk of Large-for-Gestational-Age Newborns in Women with Gestational Diabetes Mellitus: So-Yeon Kim, Young Shin Song, Soo-Kyung Kim, Yong-Wook Cho, Kyung-Soo Kim; Diabetes Metab J. 2022;46(1):140-148. Published online August 9, 2021; DOI: https://doi.org/10.4093/dmj.2021.0023

5,779 View
168 Download
3 Web of Science
3 Crossref

Graphical Abstract Abstract PDF Supplementary Material PubReader ePub

Background
To investigate the association between free fatty acid (FFA) level at mid-pregnancy and large-for-gestational-age (LGA) newborns in women with gestational diabetes mellitus (GDM).
Methods
We enrolled 710 pregnant women diagnosed with GDM from February 2009 to October 2016. GDM was diagnosed by a ‘two-step’ approach with Carpenter and Coustan criteria. We measured plasma lipid profiles including fasting and 2-hour postprandial FFA (2h-FFA) levels at mid-pregnancy. LGA was defined if birthweights of newborns were above the 90th percentile for their gestational age.
Results
Mean age of pregnant women in this study was 33.1 years. Mean pre-pregnancy body mass index (BMI) was 22.4 kg/m². The prevalence of LGA was 8.3% (n=59). Levels of 2h-FFA were higher in women who delivered LGA newborns than in those who delivered non-LGA newborns (416.7 μEq/L vs. 352.5 μEq/L, P=0.006). However, fasting FFA was not significantly different between the two groups. The prevalence of delivering LGA newborns was increased with increasing tertile of 2h-FFA (T1, 4.3%; T2, 9.8%; T3, 10.7%; P for trend <0.05). After adjustment for maternal age, pre-pregnancy BMI, and fasting plasma glucose, the highest tertile of 2h-FFA was 2.38 times (95% confidence interval, 1.11 to 5.13) more likely to have LGA newborns than the lowest tertile. However, there was no significant difference between groups according to fasting FFA tertiles.
Conclusion
In women with GDM, a high 2h-FFA level (but not fasting FFA) at mid-pregnancy is associated with an increasing risk of delivering LGA newborns.

Citations

Citations to this article as recorded by

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
Modulation of gut microbiota and lipid metabolism in rats fed high-fat diets by Ganoderma lucidum triterpenoids
Aijun Tong, Weihao Wu, Zhengxin Chen, Jiahui Wen, Ruibo Jia, Bin Liu, Hui Cao, Chao Zhao
Current Research in Food Science.2023; 6: 100427. CrossRef
Fetal Abdominal Obesity Detected at 24 to 28 Weeks of Gestation Persists until Delivery Despite Management of Gestational Diabetes Mellitus (Diabetes Metab J 2021;45:547-57)
Wonjin Kim, Soo Kyung Park, Yoo Lee Kim
Diabetes & Metabolism Journal.2021; 45(6): 970. CrossRef

Metabolic Risk/Epidemiology
Fetal Abdominal Obesity Detected At 24 to 28 Weeks of Gestation Persists Until Delivery Despite Management of Gestational Diabetes Mellitus: Wonjin Kim, Soo Kyung Park, Yoo Lee Kim; Diabetes Metab J. 2021;45(4):547-557. Published online March 5, 2021; DOI: https://doi.org/10.4093/dmj.2020.0078

6,656 View
194 Download
9 Web of Science
6 Crossref

Graphical Abstract Abstract PDF Supplementary Material PubReader ePub

Background
Fetal abdominal obesity (FAO) has been reported to be affected at gestational diabetes mellitus (GDM) diagnosis at 24 to 28 weeks of gestation in older and/or obese women. This study investigated whether the management of GDM improves FAO in GDM subjects near term.
Methods
Medical records of 7,099 singleton pregnant women delivering at CHA Gangnam Medical Center were reviewed retrospectively. GDM was diagnosed by 100-g oral glucose tolerance test after 50-g glucose challenge test based on Carpenter–Coustan criteria. GDM subjects were divided into four study groups according to maternal age and obesity. FAO was defined as ≥90th percentile of fetal abdominal overgrowth ratios (FAORs) of the ultrasonographically estimated gestational age (GA) of abdominal circumference per actual GA by the last menstruation period, biparietal diameter, or femur length, respectively.
Results
As compared with normal glucose tolerance (NGT) subjects near term, FAORs and odds ratio for FAO were significantly higher in old and/or obese women with GDM but not in young and nonobese women with GDM. For fetuses of GDM subjects with FAO at the time of GDM diagnosis, the odds ratio for exhibiting FAO near term and being large for GA at birth were 7.87 (95% confidence interval [CI], 4.38 to 14.15) and 10.96 (95% CI, 5.58 to 20.53) compared with fetuses of NGT subjects without FAO at GDM diagnosis.
Conclusion
Despite treatment, FAO detected at the time of GDM diagnosis persisted until delivery. Early diagnosis and treatment might be necessary to prevent near term FAO in high-risk older and/or obese women.

Citations

Citations to this article as recorded by

Gestational diabetes mellitus management according to ultrasound fetal growth versus strict glycemic treatment in singleton pregnancies: A systematic review and meta‐analysis of clinical trials
Ana M. Fernández‐Alonso, Angélica Monterrosa‐Blanco, Álvaro Monterrosa‐Castro, Faustino R. Pérez‐López
Journal of Obstetrics and Gynaecology Research.2024;[Epub] CrossRef
The effects of gestational diabetes mellitus on fetal growth: is it different for low-risk and medium–high-risk pregnant women?
Jie Wang, Xin Cheng, Zhen-Hua Li, Yi-Cheng Mao, Xin-Qiang Wang, Kang-Di Zhang, Wen-Jie Yu, Ying-Qing Li, Jia-wen Zhao, Mao-Lin Chen, Guo-peng Gao, Cheng-Yang Hu, Xiu-Jun Zhang
Archives of Gynecology and Obstetrics.2023; 310(2): 833. CrossRef
Fetal abdominal obesity and the ensuing adverse perinatal outcomes in older obese pregnant women with or without obesity and with normal glucose tolerance
Wonjin Kim, Soo Kyung Park, Yoo Lee Kim
Scientific Reports.2023;[Epub] CrossRef
Early-life exposure to gestational diabetes mellitus predisposes offspring to pediatric nonalcoholic fatty liver disease
Qian-Ren Zhang, Yan Dong, Jian-Gao Fan
Hepatobiliary & Pancreatic Diseases International.2023;[Epub] CrossRef
Gestational diabetes mellitus and adverse pregnancy outcomes: systematic review and meta-analysis
Wenrui Ye, Cong Luo, Jing Huang, Chenglong Li, Zhixiong Liu, Fangkun Liu
BMJ.2022; : e067946. CrossRef
Fetal abdominal overgrowth is already present at 20–24 gestational weeks prior to diagnosis of gestational diabetes mellitus
Wonjin Kim, Soo Kyung Park, Yoo Lee Kim
Scientific Reports.2021;[Epub] CrossRef

Metabolic Risk/Epidemiology
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 Abstract Abstract PDF Supplementary Material PubReader 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

Citations to this article as recorded by

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
Diabetes & Metabolism Journal.2024; 48(4): 546. CrossRef
High-fat diet during pregnancy lowers fetal weight and has a long-lasting adverse effect on brown adipose tissue in the offspring
Mihoko Yamaguchi, Jun Mori, Nozomi Nishida, Satoshi Miyagaki, Yasuhiro Kawabe, Takeshi Ota, Hidechika Morimoto, Yusuke Tsuma, Shota Fukuhara, Takehiro Ogata, Takuro Okamaura, Naoko Nakanishi, Masahide Hamaguchi, Hisakazu Nakajima, Michiaki Fukui, Tomoko I
Journal of Developmental Origins of Health and Disease.2023; 14(2): 261. CrossRef
Prediction of gestational diabetes mellitus in Asian women using machine learning algorithms
Byung Soo Kang, Seon Ui Lee, Subeen Hong, Sae Kyung Choi, Jae Eun Shin, Jeong Ha Wie, Yun Sung Jo, Yeon Hee Kim, Kicheol Kil, Yoo Hyun Chung, Kyunghoon Jung, Hanul Hong, In Yang Park, Hyun Sun Ko
Scientific Reports.2023;[Epub] CrossRef
Effects of early standardized management on the growth trajectory of offspring with gestational diabetes mellitus at 0–5 years old: a preliminary longitudinal study
Bingbing Guo, Jingjing Pei, Yin Xu, Yajie Wang, Xinye Jiang
Scientific Reports.2023;[Epub] CrossRef
Gestational Diabetes Mellitus: Diagnostic Approaches and Maternal-Offspring Complications
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

Metabolic Risk/Epidemiology
A Vegetable Dietary Pattern Is Associated with Lowered Risk of Gestational Diabetes Mellitus in Chinese Women: Qiong Chen, Weiwei Wu, Hailan Yang, Ping Zhang, Yongliang Feng, Keke Wang, Ying Wang, Suping Wang, Yawei Zhang; Diabetes Metab J. 2020;44(6):887-896. Published online September 11, 2020; DOI: https://doi.org/10.4093/dmj.2019.0138

7,419 View
149 Download
11 Web of Science
12 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
Identification of modifiable dietary factors, which are involved in the development of gestational diabetes mellitus (GDM), could inform strategies to prevent GDM.
Methods
We examined the dietary patterns in a Chinese population and evaluated their relationship with GDM risk using a case-control study including 1,464 cases and 8,092 control subjects. Propensity score matching was used to reduce the imbalance of covariates between cases and controls. Dietary patterns were identified using factor analysis while their associations with GDM risk were evaluated using logistic regression models.
Results
A “vegetable” dietary pattern was characterized as the consumption of green leafy vegetables (Chinese little greens and bean seedling), other vegetables (cabbages, carrots, tomatoes, eggplants, potatoes, mushrooms, peppers, bamboo shoots, agarics, and garlic), and bean products (soybean milk, tofu, kidney beans, and cowpea). For every quartile increase in the vegetables factor score during 1 year prior to conception, the first trimester, and the second trimester of pregnancy, the GDM risk lowered by 6% (odds ratio [OR], 0.94; 95% confidence interval [CI], 0.89 to 0.99), 7% (OR, 0.94; 95% CI, 0.88 to 0.99), and 9% (OR, 0.91; 95% CI, 0.86 to 0.96).
Conclusion
In conclusion, our study suggests that the vegetable dietary pattern is associated with lower GDM risk; however, the interpretation of the result should with caution due to the limitations in our study, and additional studies are necessary to explore the underlying mechanism of this relationship.

Citations

Citations to this article as recorded by

Analyzing Protein and Glucose Levels in Pregnant Women Attending Antenatal Care at Health Centers in Port Harcourt, Rivers State
BIEBUMA Tamunoitekena Blessing, Aleruchi Owhonka, Egbono Frank Fubara
International Journal of Advanced Research in Science, Communication and Technology.2024; : 512. CrossRef
Association of Vegetables-Fruits Dietary Patterns with Gestational Diabetes Mellitus: Mediating Effects of Gut Microbiota
Xiaoxi Shan, Caixia Peng, Hanshuang Zou, Yunfeng Pan, Minchan Wu, Qingqing Xie, Qian Lin
Nutrients.2024; 16(14): 2300. CrossRef
Maternal dietary components in the development of gestational diabetes mellitus: a systematic review of observational studies to timely promotion of health
Victoria Lambert, Sonia Edith Muñoz, Carla Gil, María Dolores Román
Nutrition Journal.2023;[Epub] CrossRef
Fruit, vegetable, and fruit juice consumption and risk of gestational diabetes mellitus: a systematic review and meta-analysis
Yan-Ping Liao, Qing-Xiang Zheng, Xiu-Min Jiang, Xiao-Qian Chen, Xiao-Xia Gao, Yu-Qing Pan
Nutrition Journal.2023;[Epub] CrossRef
The effects of plant-based dietary patterns on the risk of developing gestational diabetes mellitus: A systematic review and meta-analysis
Yu Zhu, QingXiang Zheng, Ling Huang, XiuMin Jiang, XiaoXia Gao, JiaNing Li, RuLin Liu, Kent Lai
PLOS ONE.2023; 18(10): e0291732. CrossRef
Molecular pathways and nutrigenomic review of insulin resistance development in gestational diabetes mellitus
Patricia Guevara-Ramírez, Elius Paz-Cruz, Santiago Cadena-Ullauri, Viviana A. Ruiz-Pozo, Rafael Tamayo-Trujillo, Maria L. Felix, Daniel Simancas-Racines, Ana Karina Zambrano
Frontiers in Nutrition.2023;[Epub] CrossRef
Effectiveness of pre-pregnancy lifestyle in preventing gestational diabetes mellitus—a systematic review and meta-analysis of 257,876 pregnancies
Swetha Sampathkumar, Durga Parkhi, Yonas Ghebremichael-Weldeselassie, Nithya Sukumar, Ponnusamy Saravanan
Nutrition & Diabetes.2023;[Epub] CrossRef
Gestational Diabetes Mellitus: The Crosslink among Inflammation, Nitroxidative Stress, Intestinal Microbiota and Alternative Therapies
Elaine Luiza Santos Soares de Mendonça, Marilene Brandão Tenório Fragoso, Jerusa Maria de Oliveira, Jadriane Almeida Xavier, Marília Oliveira Fonseca Goulart, Alane Cabral Menezes de Oliveira
Antioxidants.2022; 11(1): 129. CrossRef
Ferulic acid targets ACSL1 to ameliorate lipid metabolic disorders in db/db mice
Jie Gao, Xue Gu, Manqian Zhang, Xingwang Zu, Fukui Shen, Xiaotao Hou, Erwei Hao, Gang Bai
Journal of Functional Foods.2022; 91: 105009. CrossRef
Effect of dietary pattern on pregnant women with gestational diabetes mellitus and its clinical significance
Jianping Wang, Zuoliang Xie, Peipei Chen, Yuhuan Wang, Baoqing Li, Fen Dai
Open Life Sciences.2022; 17(1): 202. CrossRef
Dietary Protein Patterns during Pregnancy Are Associated with Risk of Gestational Diabetes Mellitus in Chinese Pregnant Women
Weijia Wu, Nu Tang, Jingjing Zeng, Jin Jing, Li Cai
Nutrients.2022; 14(8): 1623. CrossRef
Dietary Acid Load Is Positively Associated With Risk of Gestational Diabetes Mellitus in a Prospective Cohort of Chinese Pregnant Women
Rui Zhao, Leilei Zhou, Gang Lei, Shanshan Wang, Yan Li, Xuefeng Yang, Guoping Xiong, Liping Hao
Frontiers in Nutrition.2022;[Epub] CrossRef

Metabolic Risk/Epidemiology
A Comparison of Predictive Performances between Old versus New Criteria in a Risk-Based Screening Strategy for Gestational Diabetes Mellitus: Subeen Hong, Seung Mi Lee, Soo Heon Kwak, Byoung Jae Kim, Ja Nam Koo, Ig Hwan Oh, Sohee Oh, Sun Min Kim, Sue Shin, Won Kim, Sae Kyung Joo, Errol R. Norwitz, Souphaphone Louangsenlath, Chan-Wook Park, Jong Kwan Jun, Joong Shin Park; Diabetes Metab J. 2020;44(5):726-736. Published online April 13, 2020; DOI: https://doi.org/10.4093/dmj.2019.0126

7,223 View
128 Download
9 Web of Science
9 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background

The definition of the high-risk group for gestational diabetes mellitus (GDM) defined by the American College of Obstetricians and Gynecologists was changed from the criteria composed of five historic/demographic factors (old criteria) to the criteria consisting of 11 factors (new criteria) in 2017. To compare the predictive performances between these two sets of criteria.

Methods

This is a secondary analysis of a large prospective cohort study of non-diabetic Korean women with singleton pregnancies designed to examine the risk of GDM in women with nonalcoholic fatty liver disease. Maternal fasting blood was taken at 10 to 14 weeks of gestation and measured for glucose and lipid parameters. GDM was diagnosed by the two-step approach.

Results

Among 820 women, 42 (5.1%) were diagnosed with GDM. Using the old criteria, 29.8% (n=244) of women would have been identified as high risk versus 16.0% (n=131) using the new criteria. Of the 42 women who developed GDM, 45.2% (n=19) would have been mislabeled as not high risk by the old criteria versus 50.0% (n=21) using the new criteria (1-sensitivity, 45.2% vs. 50.0%, P>0.05). Among the 778 patients who did not develop GDM, 28.4% (n=221) would have been identified as high risk using the old criteria versus 14.1% (n=110) using the new criteria (1-specificity, 28.4% vs. 14.1%, P<0.001).

Conclusion

Compared with the old criteria, use of the new criteria would have decreased the number of patients identified as high risk and thus requiring early GDM screening by half (from 244 [29.8%] to 131 [16.0%]).

Citations

Citations to this article as recorded by

Predicting the Risk of Insulin-Requiring Gestational Diabetes before Pregnancy: A Model Generated from a Nationwide Population-Based Cohort Study in Korea
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
Endocrinology and Metabolism.2023; 38(1): 129. CrossRef
Metabolic Dysfunction-Associated Fatty Liver Disease and Subsequent Development of Adverse Pregnancy Outcomes
Seung Mi Lee, Young Mi Jung, Eun Saem Choi, Soo Heon Kwak, Ja Nam Koo, Ig Hwan Oh, Byoung Jae Kim, Sun Min Kim, Sang Youn Kim, Gyoung Min Kim, Sae Kyung Joo, Bo Kyung Koo, Sue Shin, Errol R. Norwitz, Chan-Wook Park, Jong Kwan Jun, Won Kim, Joong Shin Park
Clinical Gastroenterology and Hepatology.2022; 20(11): 2542. CrossRef
Nonalcoholic fatty liver disease and early prediction of gestational diabetes mellitus using machine learning methods
Seung Mi Lee, Suhyun Hwangbo, Errol R. Norwitz, Ja Nam Koo, Ig Hwan Oh, Eun Saem Choi, Young Mi Jung, Sun Min Kim, Byoung Jae Kim, Sang Youn Kim, Gyoung Min Kim, Won Kim, Sae Kyung Joo, Sue Shin, Chan-Wook Park, Taesung Park, Joong Shin Park
Clinical and Molecular Hepatology.2022; 28(1): 105. CrossRef
Nonalcoholic fatty liver disease-based risk prediction of adverse pregnancy outcomes: Ready for prime time?
Seung Mi Lee, Won Kim
Clinical and Molecular Hepatology.2022; 28(1): 47. CrossRef
Postprandial Free Fatty Acids at Mid-Pregnancy Increase the Risk of Large-for-Gestational-Age Newborns in Women with Gestational Diabetes Mellitus
So-Yeon Kim, Young Shin Song, Soo-Kyung Kim, Yong-Wook Cho, Kyung-Soo Kim
Diabetes & Metabolism Journal.2022; 46(1): 140. CrossRef
Effect of Different Types of Diagnostic Criteria for Gestational Diabetes Mellitus on Adverse Neonatal Outcomes: A Systematic Review, Meta-Analysis, and Meta-Regression
Fahimeh Ramezani Tehrani, Marzieh Saei Ghare Naz, Razieh Bidhendi-Yarandi, Samira Behboudi-Gandevani
Diabetes & Metabolism Journal.2022; 46(4): 605. CrossRef
Development of early prediction model for pregnancy-associated hypertension with graph-based semi-supervised learning
Seung Mi Lee, Yonghyun Nam, Eun Saem Choi, Young Mi Jung, Vivek Sriram, Jacob S. Leiby, Ja Nam Koo, Ig Hwan Oh, Byoung Jae Kim, Sun Min Kim, Sang Youn Kim, Gyoung Min Kim, Sae Kyung Joo, Sue Shin, Errol R. Norwitz, Chan-Wook Park, Jong Kwan Jun, Won Kim,
Scientific Reports.2022;[Epub] CrossRef
The Clinical Characteristics of Gestational Diabetes Mellitus in Korea: A National Health Information Database Study
Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
Endocrinology and Metabolism.2021; 36(3): 628. CrossRef
The risk of pregnancy‐associated hypertension in women with nonalcoholic fatty liver disease
Young Mi Jung, Seung Mi Lee, Subeen Hong, Ja Nam Koo, Ig Hwan Oh, Byoung Jae Kim, Sun Min Kim, Sang Youn Kim, Gyoung Min Kim, Sae Kyung Joo, Sue Shin, Errol R. Norwitz, Chan‐Wook Park, Jong Kwan Jun, Won Kim, Joong Shin Park
Liver International.2020; 40(10): 2417. CrossRef

Metabolic Risk/Epidemiology
Glucose Effectiveness from Short Insulin-Modified IVGTT and Its Application to the Study of Women with Previous Gestational Diabetes Mellitus: Micaela Morettini, Carlo Castriota, Christian Göbl, Alexandra Kautzky-Willer, Giovanni Pacini, Laura Burattini, Andrea Tura; Diabetes Metab J. 2020;44(2):286-294. Published online January 13, 2020; DOI: https://doi.org/10.4093/dmj.2019.0016

5,608 View
86 Download
4 Web of Science
3 Crossref

Abstract PDF PubReader

Background

This study aimed to design a simple surrogate marker (i.e., predictor) of the minimal model glucose effectiveness (S_G), namely calculated S_G (CS_G), from a short insulin-modified intravenous glucose tolerance test (IM-IVGTT), and then to apply it to study women with previous gestational diabetes mellitus (pGDM).

Methods

CS_G was designed using the stepwise model selection approach on a population of subjects (n=181) ranging from normal tolerance to type 2 diabetes mellitus (T2DM). CS_G was then tested on a population of women with pGDM (n=57). Each subject underwent a 3-hour IM-IVGTT; women with pGDM were observed early postpartum and after a follow-up period of up to 7 years and classified as progressors (PROG) or non-progressors (NONPROG) to T2DM. The minimal model analysis provided a reference S_G.

Results

CS_G was described as CS_G=1.06×10⁻²+5.71×10⁻²×K_G/G_peak, K_G being the mean slope (absolute value) of loge glucose in 10–25- and 25–50-minute intervals, and G_peak being the maximum of the glucose curve. Good agreement between CS_G and S_G in the general population and in the pGDM group, both at baseline and follow-up (even in PROG and NONPROG subgroups), was shown by the Bland-Altman plots (<5% observations outside limits of agreement), and by the test for equivalence (equivalence margin not higher than one standard deviation). At baseline, the PROG subgroup showed significantly lower S_G and CS_G values compared to the NONPROG subgroup (P<0.03).

Conclusion

CS_G is a valid S_G predictor. In the pGDM group, glucose effectiveness appeared to be impaired in women progressing to T2DM.

Citations

Citations to this article as recorded by

Postprandial Free Fatty Acids at Mid-Pregnancy Increase the Risk of Large-for-Gestational-Age Newborns in Women with Gestational Diabetes Mellitus
So-Yeon Kim, Young Shin Song, Soo-Kyung Kim, Yong-Wook Cho, Kyung-Soo Kim
Diabetes & Metabolism Journal.2022; 46(1): 140. CrossRef
Unraveling the Factors Determining Development of Type 2 Diabetes in Women With a History of Gestational Diabetes Mellitus Through Machine-Learning Techniques
Ludovica Ilari, Agnese Piersanti, Christian Göbl, Laura Burattini, Alexandra Kautzky-Willer, Andrea Tura, Micaela Morettini
Frontiers in Physiology.2022;[Epub] CrossRef
The Clinical Characteristics of Gestational Diabetes Mellitus in Korea: A National Health Information Database Study
Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
Endocrinology and Metabolism.2021; 36(3): 628. CrossRef

Clinical Diabetes & Therapeutics
Early Assessment of the Risk for Gestational Diabetes Mellitus: Can Fasting Parameters of Glucose Metabolism Contribute to Risk Prediction?: Veronica Falcone, Grammata Kotzaeridi, Melanie Hanne Breil, Ingo Rosicky, Tina Stopp, Gülen Yerlikaya-Schatten, Michael Feichtinger, Wolfgang Eppel, Peter Husslein, Andrea Tura, Christian S. Göbl; Diabetes Metab J. 2019;43(6):785-793. Published online March 12, 2019; DOI: https://doi.org/10.4093/dmj.2018.0218

9,018 View
85 Download
22 Web of Science
26 Crossref

Abstract PDF PubReader

Background

An early identification of the risk groups might be beneficial in reducing morbidities in patients with gestational diabetes mellitus (GDM). Therefore, this study aimed to assess the biochemical predictors of glycemic conditions, in addition to fasting indices of glucose disposal, to predict the development of GDM in later stage and the need of glucose-lowering medication.

Methods

A total of 574 pregnant females (103 with GDM and 471 with normal glucose tolerance [NGT]) were included. A metabolic characterization was performed before 15⁺⁶ weeks of gestation by assessing fasting plasma glucose (FPG), fasting insulin (FI), fasting C-peptide (FCP), and glycosylated hemoglobin (HbA1c). Thereafter, the patients were followed-up until the delivery.

Results

Females with NGT had lower levels of FPG, FI, FCP, or HbA1c at the early stage of pregnancy, and therefore, showed an improved insulin action as compared to that in females who developed GDM. Higher fasting levels of FPG and FCP were associated with a higher risk of developing GDM. Moreover, the predictive accuracy of this metabolic profiling was also good to distinguish the patients who required glucose-lowering medications. Indices of glucose disposal based on C-peptide improved the predictive accuracy compared to that based on insulin. A modified quantitative insulin sensitivity check index (QUICKIc) showed the best differentiation in terms of predicting GDM (area under the receiver operating characteristics curve [ROC-AUC], 72.1%) or need for pharmacotherapy (ROC-AUC, 83.7%).

Conclusion

Fasting measurements of glucose and C-peptide as well as the surrogate indices of glycemic condition could be used for stratifying pregnant females with higher risk of GDM at the beginning of pregnancy.

Citations

Citations to this article as recorded by

Maternal fasting serum C-peptide concentrations in the first and second trimesters and subsequent risk of gestational diabetes mellitus: A nested case-control study among Chinese women
Chuanyu Zhao, Haiyan Liu, Yuzhi Deng, Hanbin Wu, Shuo Wang, Xinyi Lyu, Jueming Lei, Haishan Yang, Meina Hu, Yinzhu Zhao, Xu Ma, Xiaoxuan Zou, Ying Yang
Diabetes Research and Clinical Practice.2024; 208: 111111. CrossRef
Future clinical prospects of C-peptide testing in the early diagnosis of gestational diabetes
Charalampos Milionis, Ioannis Ilias, Anastasia Lekkou, Evangelia Venaki, Eftychia Koukkou
World Journal of Experimental Medicine.2024;[Epub] CrossRef
Early prediction of gestational diabetes mellitus using maternal demographic and clinical risk factors
Yanqi Wu, Paul Hamelmann, Myrthe van der Ven, Sima Asvadi, M. Beatrijs van der Hout-van der Jagt, S. Guid Oei, Massimo Mischi, Jan Bergmans, Xi Long
BMC Research Notes.2024;[Epub] CrossRef
First-trimester fasting plasma glucose as a predictor of subsequent gestational diabetes mellitus and adverse fetomaternal outcomes: A systematic review and meta-analysis
Saptarshi Bhattacharya, Lakshmi Nagendra, Deep Dutta, Sunetra Mondal, Sowrabha Bhat, John Michael Raj, Hiya Boro, A.B.M. Kamrul-Hasan, Sanjay Kalra
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2024; 18(6): 103051. CrossRef
Prediction of gestational diabetes mellitus by multiple biomarkers at early gestation
Meng-Nan Yang, Lin Zhang, Wen-Juan Wang, Rong Huang, Hua He, Tao Zheng, Guang-Hui Zhang, Fang Fang, Justin Cheng, Fei Li, Fengxiu Ouyang, Jiong Li, Jun Zhang, Zhong-Cheng Luo
BMC Pregnancy and Childbirth.2024;[Epub] CrossRef
Gestationsdiabetes (GDM) (Update 2023)
Alexandra Kautzky-Willer, Yvonne Winhofer, Herbert Kiss, Veronica Falcone, Angelika Berger, Monika Lechleitner, Raimund Weitgasser, Jürgen Harreiter
Wiener klinische Wochenschrift.2023; 135(S1): 115. CrossRef
MIDO GDM: an innovative artificial intelligence-based prediction model for the development of gestational diabetes in Mexican women
Héctor Gallardo-Rincón, María Jesús Ríos-Blancas, Janinne Ortega-Montiel, Alejandra Montoya, Luis Alberto Martinez-Juarez, Julieta Lomelín-Gascón, Rodrigo Saucedo-Martínez, Ricardo Mújica-Rosales, Victoria Galicia-Hernández, Linda Morales-Juárez, Lucía Ma
Scientific Reports.2023;[Epub] CrossRef
Progress in the Prediction of Gestational Diabetes Mellitus by the Combined Detection of Fasting Blood Glucose and Hemoglobin in Early Pregnancy
欢欢赵
Advances in Clinical Medicine.2023; 13(06): 9980. CrossRef
HOMA‐IR as a risk factor of gestational diabetes mellitus and a novel simple surrogate index in early pregnancy
Shuoning Song, Yuemei Zhang, Xiaolin Qiao, Yanbei Duo, Jiyu Xu, Zhenyao Peng, Jing Zhang, Yan Chen, Xiaorui Nie, Qiujin Sun, Xianchun Yang, Zechun Lu, Shixuan Liu, Tianyi Zhao, Tao Yuan, Yong Fu, Yingyue Dong, Weigang Zhao, Wei Sun, Ailing Wang
International Journal of Gynecology & Obstetrics.2022; 157(3): 694. CrossRef
The diagnostic value of glycosylated hemoglobin for gestational diabetes mellitus in Asian populations: A systematic review and meta‐analysis
Jiani Zhang, Fan Zhou, Tingting Xu, Jinfeng Xu, Yaqian Li, Li Lin, Qi Cao, Xiaodong Wang
Journal of Obstetrics and Gynaecology Research.2022; 48(4): 902. CrossRef
Postprandial Free Fatty Acids at Mid-Pregnancy Increase the Risk of Large-for-Gestational-Age Newborns in Women with Gestational Diabetes Mellitus
So-Yeon Kim, Young Shin Song, Soo-Kyung Kim, Yong-Wook Cho, Kyung-Soo Kim
Diabetes & Metabolism Journal.2022; 46(1): 140. CrossRef
Gestational Diabetes Mellitus in Pregnant Women with Beta-Thalassemia Minor: A Matched Case-Control Study
Veronica Falcone, Florian Heinzl, Bianca Karla Itariu, Theresa Reischer, Stephanie Springer, Dana Anaïs Muin, Petra Pateisky, Philipp Foessleitner, Johannes Ott, Alex Farr, Klara Rosta
Journal of Clinical Medicine.2022; 11(7): 2050. CrossRef
Maternal metabolic factors and the association with gestational diabetes: A systematic review and meta‐analysis
Nahal Habibi, Aya Mousa, Chau Thien Tay, Mahnaz Bahri Khomami, Rhiannon K. Patten, Prabha H. Andraweera, Molla Wassie, Jared Vandersluys, Ali Aflatounian, Tina Bianco‐Miotto, Shao J. Zhou, Jessica A. Grieger
Diabetes/Metabolism Research and Reviews.2022;[Epub] CrossRef
Impact Of Prepregnancy Overweight And Obesity On Treatment Modality And Pregnancy Outcome In Women With Gestational Diabetes Mellitus
Tina Linder, Anna Eder, Cécile Monod, Ingo Rosicky, Daniel Eppel, Katharina Redling, Franziska Geissler, Evelyn A. Huhn, Irene Hösli, Christian S. Göbl
Frontiers in Endocrinology.2022;[Epub] CrossRef
Identification of potential gene markers in gestational diabetes mellitus
Weichun Tang, Xiaoyu Wang, Liping Chen, Yiling Lu, Xinyi Kang
Journal of Clinical Laboratory Analysis.2022;[Epub] CrossRef
Association between early-pregnancy serum C-peptide and risk of gestational diabetes mellitus: a nested case–control study among Chinese women
Xue Yang, Yi Ye, Yi Wang, Ping Wu, Qi Lu, Yan Liu, Jiaying Yuan, Xingyue Song, Shijiao Yan, Xiaorong Qi, Yi-Xin Wang, Ying Wen, Gang Liu, Chuanzhu Lv, Chun-Xia Yang, An Pan, Jianli Zhang, Xiong-Fei Pan
Nutrition & Metabolism.2022;[Epub] CrossRef
Early Predictors of Gestational Diabetes Mellitus in IVF-Conceived Pregnancies
Ayla Coussa, Hayder A. Hasan, Thomas M. Barber
Endocrine Practice.2021; 27(6): 579. CrossRef
The Clinical Characteristics of Gestational Diabetes Mellitus in Korea: A National Health Information Database Study
Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
Endocrinology and Metabolism.2021; 36(3): 628. CrossRef
Early Gestational Diabetes Mellitus: Diagnostic Strategies and Clinical Implications
Saptarshi Bhattacharya, Lakshmi Nagendra, Aishwarya Krishnamurthy, Om J. Lakhani, Nitin Kapoor, Bharti Kalra, Sanjay Kalra
Medical Sciences.2021; 9(4): 59. CrossRef
Early markers of gestational diabetes mellitus
Vedrana Ivić, Jasenka Wagner, Andrijana Müller, Lada Zibar, Marta Kadivnik, Barbara Viljetić, Jelena Omazić
Biochemia medica.2021; 31(3): 416. CrossRef
Response: Early Assessment of the Risk for Gestational Diabetes Mellitus: Can Fasting Parameters of Glucose Metabolism Contribute to Risk Prediction? (Diabetes Metab J 2019;43:785–93)
Christian S. Göbl, Andrea Tura
Diabetes & Metabolism Journal.2020; 44(1): 209. CrossRef
First-trimester fasting glycemia as a predictor of gestational diabetes (GDM) and adverse pregnancy outcomes
G. Sesmilo, P. Prats, S. Garcia, I. Rodríguez, A. Rodríguez-Melcón, I. Berges, B. Serra
Acta Diabetologica.2020; 57(6): 697. CrossRef
Letter: Early Assessment of the Risk for Gestational Diabetes Mellitus: Can Fasting Parameters of Glucose Metabolism Contribute to Risk Prediction? (Diabetes Metab J 2019;43:785–93)
Ye Seul Yang, Hye Seung Jung
Diabetes & Metabolism Journal.2020; 44(1): 199. CrossRef
Auch schon im 1. Trimenon ist Nüchternglukose Prädiktor für Gestationsdiabetes
Jens Stupin
Info Diabetologie.2020; 14(2): 14. CrossRef
Comparison of Machine Learning Methods and Conventional Logistic Regressions for Predicting Gestational Diabetes Using Routine Clinical Data: A Retrospective Cohort Study
Yunzhen Ye, Yu Xiong, Qiongjie Zhou, Jiangnan Wu, Xiaotian Li, Xirong Xiao
Journal of Diabetes Research.2020; 2020: 1. CrossRef
Predictive Power of Unconjugated Estriol in Diagnosis of Gestational Diabetes: A Cohort Study
Azam Amirian, Nourossadat Kariman, Mehdi Hedayati, Nasrin Borumandnia, Zohre Sheikhan
Iranian Red Crescent Medical Journal.2019;[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

Abstract PDF PubReader

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
Neonatal outcomes according to different glucose threshold values in gestational diabetes: a register-based study
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
BMC Pregnancy and Childbirth.2024;[Epub] CrossRef
The problem of diabetes mellitus in obstetrics
E.V. Popova-Petrosyan, A.A. Dovgan’, E.R. Kulieva
Russian Bulletin of Obstetrician-Gynecologist.2024; 24(3): 25. 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
Diabetes & Metabolism Journal.2024; 48(4): 546. CrossRef
Pregnancy complications in women with pregestational and gestational diabetes mellitus
Lukas Reitzle, Christin Heidemann, Jens Baumert, Matthias Kaltheuner, Heinke Adamczewski, Andrea Icks, Christa Scheidt-Nave
Deutsches Ärzteblatt international.2023;[Epub] CrossRef
Predicting the Risk of Insulin-Requiring Gestational Diabetes before Pregnancy: A Model Generated from a Nationwide Population-Based Cohort Study in Korea
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
Endocrinology and Metabolism.2023; 38(1): 129. CrossRef
Treatment of women with mild gestational diabetes mellitus decreases the risk of adverse perinatal outcomes
Fanny Goyette, Bi Lan Wo, Marie-Hélène Iglesias, Evelyne Rey, Ariane Godbout
Diabetes & Metabolism.2023; 49(4): 101458. CrossRef
Maternal and fetal outcomes of pregnancies associated with single versus double abnormal values in 100 gr glucose tolerance test
Mohammadali Shahriari, Ali Shahriari, Maryam Khooshideh, Anahita Dehghaninezhad, Arezoo Maleki-Hajiagha, Rana Karimi
Journal of Diabetes & Metabolic Disorders.2023; 22(2): 1347. CrossRef
Diagnosis and management of gestational diabetes mellitus
Tae Jung Oh
Journal of the Korean Medical Association.2023; 66(7): 414. CrossRef
Update on gestational diabetes and adverse pregnancy outcomes
Bryan Ugwudike, ManHo Kwok
Current Opinion in Obstetrics & Gynecology.2023; 35(5): 453. CrossRef
Effects of early standardized management on the growth trajectory of offspring with gestational diabetes mellitus at 0–5 years old: a preliminary longitudinal study
Bingbing Guo, Jingjing Pei, Yin Xu, Yajie Wang, Xinye Jiang
Scientific Reports.2023;[Epub] CrossRef
Can Triglyceride/Glucose Index (TyG) and Triglyceride/HDL-Cholesterol Ratio (TG/HDL-c) Predict Gestational Diabetes Mellitus?
Seval YILMAZ ERGANİ, Tolgay Tuyan İLHAN, Betül TOKGÖZ, Burak BAYRAKTAR, Mevlüt BUCAK, Müjde Can İBANOĞLU, Kadriye YAKUT YÜCEL, Kadriye ERDOĞAN, Cantekin İSKENDER, Yaprak ÜSTÜN
Ankara Eğitim ve Araştırma Hastanesi Tıp Dergisi.2023; 56(2): 117. CrossRef
Risk factors for postpartum urinary incontinence: The impact of early-onset and late-onset Gestational Diabetes Mellitus in a nested case-control study
Carlos I. Sartorão Filho, Fabiane A. Pinheiro, Luiz Takano, Caroline B. Prudêncio, Sthefanie K. Nunes, Hallur RLS, Iracema M.P. Calderon, Angélica M.P. Barbosa, Marilza V.C. Rudge
European Journal of Obstetrics & Gynecology and Reproductive Biology.2023; 290: 5. CrossRef
Review of the Screening Guidelines for Gestational Diabetes Mellitus: How to Choose Wisely
Ravleen Kaur Bakshi, Akshay Kumar, Vandana Gupta, A.G. Radhika, Puneet Misra, Pankaj Bhardwaj
Indian Journal of Community Medicine.2023; 48(6): 828. CrossRef
Postprandial Free Fatty Acids at Mid-Pregnancy Increase the Risk of Large-for-Gestational-Age Newborns in Women with Gestational Diabetes Mellitus
So-Yeon Kim, Young Shin Song, Soo-Kyung Kim, Yong-Wook Cho, Kyung-Soo Kim
Diabetes & Metabolism Journal.2022; 46(1): 140. CrossRef
Gestational Diabetes Mellitus: Diagnostic Approaches and Maternal-Offspring Complications
Joon Ho Moon, Hak Chul Jang
Diabetes & Metabolism Journal.2022; 46(1): 3. CrossRef
Risk and Risk Factors for Postpartum Type 2 Diabetes Mellitus in Women with Gestational Diabetes: A Korean Nationwide Cohort Study
Mi Jin Choi, Jimi Choi, Chae Weon Chung
Endocrinology and Metabolism.2022; 37(1): 112. CrossRef
Gestational diabetes mellitus: current screening problems
N. I. Volkova, S. O. Panenko
Diabetes mellitus.2022; 25(1): 72. CrossRef
Gestational diabetes mellitus and adverse pregnancy outcomes: systematic review and meta-analysis
Wenrui Ye, Cong Luo, Jing Huang, Chenglong Li, Zhixiong Liu, Fangkun Liu
BMJ.2022; : e067946. CrossRef
Effect of Different Types of Diagnostic Criteria for Gestational Diabetes Mellitus on Adverse Neonatal Outcomes: A Systematic Review, Meta-Analysis, and Meta-Regression
Fahimeh Ramezani Tehrani, Marzieh Saei Ghare Naz, Razieh Bidhendi-Yarandi, Samira Behboudi-Gandevani
Diabetes & Metabolism Journal.2022; 46(4): 605. CrossRef
Triglyceride and glucose index and the risk of gestational diabetes mellitus: A nationwide population-based cohort study
Jung A Kim, Jinsil Kim, Eun Roh, So-hyeon Hong, You-Bin Lee, Sei Hyun Baik, Kyung Mook Choi, Eunjin Noh, Soon Young Hwang, Geum Joon Cho, Hye Jin Yoo
Diabetes Research and Clinical Practice.2021; 171: 108533. CrossRef
Effect of the IADPSG screening strategy for gestational diabetes on perinatal outcomes in Switzerland
Evelyne M. Aubry, Luigi Raio, Stephan Oelhafen
Diabetes Research and Clinical Practice.2021; 175: 108830. CrossRef
Estimated impact of introduction of new diagnostic criteria for gestational diabetes mellitus
Leon de Wit, Anna B Zijlmans, Doortje Rademaker, Christiana A Naaktgeboren, J Hans DeVries, Arie Franx, Rebecca C Painter, Bas B van Rijn
World Journal of Diabetes.2021; 12(6): 868. CrossRef
The Clinical Characteristics of Gestational Diabetes Mellitus in Korea: A National Health Information Database Study
Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
Endocrinology and Metabolism.2021; 36(3): 628. CrossRef
Fetal Abdominal Obesity Detected At 24 to 28 Weeks of Gestation Persists Until Delivery Despite Management of Gestational Diabetes Mellitus
Wonjin Kim, Soo Kyung Park, Yoo Lee Kim
Diabetes & Metabolism Journal.2021; 45(4): 547. CrossRef
Nonalcoholic fatty liver disease and the risk of insulin-requiring gestational diabetes
Sang Youn You, Kyungdo Han, Seung-Hawn Lee, Mee Kyoung Kim
Diabetology & Metabolic Syndrome.2021;[Epub] CrossRef
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 & Metabolism Journal.2021; 45(5): 730. CrossRef
Prepregnancy smoking and the risk of gestational diabetes requiring insulin therapy
Mee Kyoung Kim, Kyungdo Han, Sang Youn You, Hyuk-Sang Kwon, Kun-Ho Yoon, Seung-Hwan Lee
Scientific Reports.2020;[Epub] CrossRef
Gestational Diabetes Mellitus: Diagnosis and Glycemic Control
Tae Jung Oh, Hak Chul Jang
The Journal of Korean Diabetes.2020; 21(2): 69. CrossRef
New Diagnostic Criteria for Gestational Diabetes Mellitus and Pregnancy Outcomes in Korea
Kyu Yeon Hur
Diabetes & Metabolism Journal.2019; 43(6): 763. CrossRef

Clinical Diabetes & Therapeutics
Progression to Gestational Diabetes Mellitus in Pregnant Women with One Abnormal Value in Repeated Oral Glucose Tolerance Tests: Sunyoung Kang, Min Hyoung Kim, Moon Young Kim, Joon-Seok Hong, Soo Heon Kwak, Sung Hee Choi, Soo Lim, Kyong Soo Park, Hak C. Jang; Diabetes Metab J. 2019;43(5):607-614. Published online February 28, 2019; DOI: https://doi.org/10.4093/dmj.2018.0159

6,727 View
111 Download
10 Web of Science
10 Crossref

Abstract PDF PubReader

Background

Women with one abnormal value (OAV) in a 100 g oral glucose tolerance test (OGTT) during pregnancy are reported to have an increased risk of adverse pregnancy outcomes. However, there is limited data about whether women with OAV will progress to gestational diabetes mellitus (GDM) when the OGTT is repeated.

Methods

To identify clinical and metabolic predictors for GDM in women with OAV, we conducted a retrospective study and identified women with OAV in the OGTT done at 24 to 30 weeks gestational age (GA) and repeated the second OGTT between 32 and 34 weeks of GA.

Results

Among 137 women with OAV in the initial OGTT, 58 (42.3%) had normal, 40 (29.2%) had OAV and 39 (28.5%) had GDM in the second OGTT. Maternal age, prepregnancy body mass index, weight gain from prepregnancy to the second OGTT, GA at the time of the OGTT, and parity were similar among normal, OAV, and GDM groups. Plasma glucose levels in screening tests were different (151.8±15.7, 155.8±14.6, 162.5±20.3 mg/dL, P<0.05), but fasting, 1-, 2-, and 3-hour glucose levels in the initial OGTT were not. Compared to women with screen negative, women with untreated OAV had a higher frequency of macrosomia.

Conclusion

We demonstrated that women with OAV in the initial OGTT significantly progressed to GDM in the second OGTT. Clinical parameters predicting progression to GDM were not found. Repeating the OGTT in women with OAV in the initial test may be helpful to detect GDM progression.

Citations

Citations to this article as recorded by

Analysis of the gut microflora in women with gestational diabetes mellitus
Xuping Wang, Bingfeng Bian, Fuman Du, Chaofeng Xiang, Yu Liu, Na Li, Binhong Duan
International Journal of Diabetes in Developing Countries.2024; 44(S1): 38. CrossRef
Fetal abdominal obesity in women with one value abnormality on diagnostic test for gestational diabetes mellitus
Wonjin Kim, Soo Kyung Park, Yoo Lee Kim, Clive J. Petry
PLOS ONE.2024; 19(6): e0304875. CrossRef
Maternal and fetal outcomes of pregnancies associated with single versus double abnormal values in 100 gr glucose tolerance test
Mohammadali Shahriari, Ali Shahriari, Maryam Khooshideh, Anahita Dehghaninezhad, Arezoo Maleki-Hajiagha, Rana Karimi
Journal of Diabetes & Metabolic Disorders.2023; 22(2): 1347. CrossRef
One abnormal value or vomiting after oral glucose tolerance test in pregnancy: incidence and impact on maternal-fetal outcomes
Humberto Navarro-Martinez, Juana-Antonia Flores-Le Roux, Gemma Llauradó, Lucia Gortazar, Antonio Payà, Laura Mañé, Juan Pedro-Botet, David Benaiges
Gynecological Endocrinology.2023;[Epub] CrossRef
The association between gestational impaired glucose tolerance and hyperglycemic markers: A prospective study
Ohad Gluck, Hadas Ganer Herman, Nataly Fainstein, Neri Katz, Jacob Bar, Michal Kovo
International Journal of Gynecology & Obstetrics.2022; 156(1): 82. CrossRef
Association of abnormal-glucose tolerance during pregnancy with exposure to PM2.5 components and sources
Dejian Mai, Chengfang Xu, Weiwei Lin, Dingli Yue, Shaojie Fu, Jianqing Lin, Luan Yuan, Yan Zhao, Yuhong Zhai, Huiying Mai, Xiaoling Zeng, Tingwu Jiang, Xuejiao Li, Jiajia Dai, Boning You, Qin Xiao, Qing Wei, Qiansheng Hu
Environmental Pollution.2022; 292: 118468. CrossRef
Postprandial Free Fatty Acids at Mid-Pregnancy Increase the Risk of Large-for-Gestational-Age Newborns in Women with Gestational Diabetes Mellitus
So-Yeon Kim, Young Shin Song, Soo-Kyung Kim, Yong-Wook Cho, Kyung-Soo Kim
Diabetes & Metabolism Journal.2022; 46(1): 140. CrossRef
The Clinical Characteristics of Gestational Diabetes Mellitus in Korea: A National Health Information Database Study
Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
Endocrinology and Metabolism.2021; 36(3): 628. CrossRef
Gestational Diabetes Mellitus: Diagnosis and Glycemic Control
Tae Jung Oh, Hak Chul Jang
The Journal of Korean Diabetes.2020; 21(2): 69. CrossRef
Health literacy and diabetes control in pregnant women
Azar Pirdehghan, Mohammad Eslahchi, Farzaneh Esna-Ashari, Shiva Borzouei
Journal of Family Medicine and Primary Care.2020; 9(2): 1048. CrossRef

First
Prev
Page of 2
Next
Last

Search