To compare perinatal outcomes and postpartum glucose tolerance between women diagnosed with gestational diabetes mellitus (GDM) before 20 weeks of gestation (EGDM) and those diagnosed at or after 24 weeks of gestation (LGDM) in a Japanese population.

Data were obtained from a prospective GDM registry. Multivariate analysis was conducted to examine the association between the timing of GDM diagnosis (EGDM vs LGDM) and perinatal outcomes (preterm birth, small for gestational age, large for gestational age, pregnancy-induced hypertension, and neonatal hypoglycemia), as well as postpartum glucose intolerance.

A total of 1,275 mother-infant pairs were analyzed for perinatal outcomes. Of these, 924 women underwent postpartum testing for glucose intolerance. No significant differences in perinatal outcomes were observed between the EGDM and LGDM groups, except that overweight/obese women with EGDM had 2.5-fold higher rate of preterm birth than those with LGDM. Postpartum glucose intolerance was 1.5 times more likely in the EGDM group than in the LGDM group.

Women with EGDM had a significantly higher risk of postpartum glucose intolerance than those with LGDM, despite similar perinatal outcomes between the two groups.

Lack of accessibility to oral glucose tolerance tests (OGTTs) in South Africa means many pregnant women go without testing for gestational diabetes mellitus (GDM). This study evaluated point-of-care (POC) glucometers against the laboratory-based glucose method in pregnant women.

This was a cross-sectional study on pregnant women attending the prenatal clinic in Johannesburg who were recommended for the OGTT. OGTTs were conducted as per International Association of Diabetes and Pregnancy Study Groups (IADPSG) guidelines. Women who consented to the study donated both venous and capillary blood for laboratory-based and POC glucose measurements using seven POC glucometers: I-STAT, Xpress, LDX, VivaChek-Ino, Accu-Chek Active, StatStrip, and Codefree. By assessing sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) and comparing Bland-Altman plots, the diagnostic accuracy of each glucose meter was compared with the reference method, the laboratory-based glucose method.

Data were analyzed for 1076 pregnant women. Based on OGTT testing, 83 women had GDM (7.7%). Overall, the POC glucometers performed poorly, with sensitivity ranging from 17.6% to 87.18% and specificity ranging between 62.7% and 99.8%. The AUC ranged from 0.59 to 0.79. All POC glucometers showed moderate to poor reliability. Laboratory-based fasting plasma glucose (FPG) surpassed the POC glucometers in sensitivity, specificity, and AUC, with values of 94.0%, 100%, and 0.98, respectively.

We demonstrated that laboratory-based FPG has the potential to be used as a diagnostic test for GDM and that the POC glucometers cannot replace OGTT laboratory-based measurements.

While guidelines recommend bedtime snacks for women with gestational diabetes mellitus (GDM), there is insufficient evidence championed those recommendation.

To evaluate if bedtime snacking is effective in preventing high fasting blood glucose incidence among women with GDM.

An open-label, parallel-group, randomized controlled trial was conducted from December 2023 to July 2024 at Ma'anshan Maternal and Child Health Care Center, Anhui, China.

A total of 62 GDM cases at the nutrition clinics were enrolled, and were randomly and equally allocated to groups of bedtime snacks (25 g nuts, intervention group) and no bedtime snacks (control group). The intervention was lasted for 8 weeks, during which fasting blood glucose was measured 3 times per week, 1-hour postprandial glucose and 2-hour postprandial glucose 2 times per week with a home glucometer. In the late pregnancy (approximately at 34 weeks), the glycated haemoglobin, high-density lipoprotein, low-density lipoprotein, triglycerides, total cholesterol were measured in the laboratory and birth outcomes information (birth weight, gestational weeks at delivery, delivery mode) were collected.

The primary outcomes were the level of fasting blood glucose and the hyper-fasting blood glucose incidence during 8-week duration. The secondary outcomes were the level of the glycated haemoglobin, high-density lipoprotein, low-density lipoprotein, triglycerides and total cholesterol in the late pregnancy. Generalized estimating equations and analysis of covariates were conducted for the analysis of the primary outcomes. The multivariate linear regression was conducted for the analysis of the secondary outcomes. Post-hoc analysis was also conducted for the indicators of 1-hour postprandial glucose, 2-hour postprandial glucose and perinatal outcomes applying generalized estimating equations, analysis of covariates, the multivariate linear regression and logistics regression.

After adjusting for maternal age, pre-pregnancy body mass index, mid-pregnancy glucose, mid-pregnancy blood lipids and diet in late pregnancy, neither the average fasting blood glucose (control group: 4.90 mmol l-1, intervention group: 4.96 mmol l-1) (β = 0.05, [95%CI-0.22 to 0.31], P = 0.720) nor hyper-fasting blood glucose incidence (control group: 0.19, intervention group:0.26) (β = 0.07, [95%CI-0.07 to 0.20], P = 0.335) were significant different between the two groups. And we found low-density lipoprotein level were higher in the intervention group (3.21 mmol l-1) compared to the control group (2.52 mmol l-1) (β = 0.70, [95%CI0.07 to 1.34], P = 0.031). Additionally, post-hoc analysis showed that the incidence of elevated 1-hour postprandial glucose was significantly higher in the intervention group (0.42) than in the control group (0.28) (β = 0.14, [95%CI0.01 to 0.27], P = 0.036). No difference was found regarding any perinatal outcomes between the two groups.

Bedtime snack did not reduce the risk of morning hyperglycaemia and adverse perinatal outcomes in women with gestational diabetes mellitus, but exacerbated lipid markers and the 1-hour postprandial glucose profile. Our study did not support clinicians and relevant guidelines to recommend bedtime snacking as a form of glycaemic control in women with GDM. Clinical trial identification number: ChiCTR2300078399. URL of the registration site: https://www.chictr.org.cn/bin/project/edit?pid=210400 .

This review article explores the relationship between hyperglycemia during pregnancy and the visual development of offspring, specifically focusing on refractive error. The authors conducted a comprehensive search for relevant articles in various databases and assessed the methodological quality of the included studies. The findings consistently indicate that hyperglycemia during pregnancy can have a detrimental impact on the structural and functional aspects of visual development in offspring. The intrauterine hyperglycemic environment appears to negatively affect the retina and lens, leading to refractive errors. In conclusion, there is likely an association between hyperglycemia during pregnancy and the development of refractive errors in offspring.

Gestational diabetes mellitus (GDM) is defined by one or more abnormal values in an oral glucose tolerance test (OGTT). The significance/importance of the number of abnormal values in relation to adverse perinatal and neonatal outcomes is unclear. We assessed the association of these outcomes with the number of abnormal glucose values in a 2-h 75 g OGTT in a large register-based cohort.

This sub-study of the Finnish Gestational Diabetes Study was based on the Finnish Medical Birth Register 2009 supplemented with OGTT laboratory data of 4869 pregnant women from six Finnish hospitals. The diagnostic cut-offs in OGTT according to the Finnish guidelines for plasma samples were ≥5.3 mmol/L (fasting), ≥10.0 mmol/L 1 h or ≥8.6 mmol/L 2 h after the glucose load. As per the guidelines, women with one or several abnormal OGTT values received diet and lifestyle counseling in the primary care, self-monitored their glucose values and received pharmacological therapy as needed. Women with GDM were categorized according to the number of abnormal glucose values. The primary outcomes, composites of adverse perinatal (pre-eclampsia, preterm delivery, macrosomia or primary cesarean section) and neonatal outcomes (birth trauma, neonatal hypoglycemia, hyperbilirubinemia or stillbirth/perinatal mortality), were analyzed by logistic regression adjusted for maternal age, pre-pregnancy body mass index, parity, socio-economic status and smoking.

Of all the women, 877 (18.0%) had one, 278 (5.7%) two and 79 (1.6%) three abnormal OGTT values, while 3635 (74.7%) women were normoglycemic. Women with at least two abnormal OGTT values had higher proportions of adverse perinatal composite (35.0% vs. 27.5%, adjusted odds ratio 1.36; 95% confidence interval 1.03-1.81) and neonatal composite outcomes (31.1% vs. 18.9%, adjusted odds ratio 1.88; 95% confidence interval 1.40-2.52) compared to women with one abnormal value. The risks of delivery induction and neonatal hypoglycemia were increased regardless of the number of abnormal values when compared with normoglycemic women.

The risk of adverse perinatal and neonatal outcomes is significantly higher in women with two or more abnormal OGTT values than in those with one abnormal value.

Tanzania, like most low- and middle-income countries, is facing an increasing prevalence of obesity in the general population, including among women of reproductive age. Excess weight pre-pregnancy is a risk factor for the onset of gestational diabetes mellitus (GDM), which is associated with several poor pregnancy outcomes. Screening for GDM, as a primary preventive measure, is not systematically done in Tanzania. This study aims to explore current practices of screening for GDM during routine antenatal care (ANC), estimate the prevalence of GDM among ANC users and compare the performance of two commonly used GDM screening algorithms. We will then explore the best ways for implementing a functional screening practice for GDM at primary level hospitals using perspectives of health care workers, health managers, and pregnant women.

This will be an observational cross-sectional study design with sequential mixed-methods approach conducted in ANC clinics of two primary level hospitals: Kisarawe District Hospital in Coast region and Mbagala Rangi Tatu Hospital in Dar es Salaam region, Tanzania. Quantitative data will be collected to determine the current structural capacity and screening practices for GDM, the prevalence of GDM among ANC users, and the sensitivity and specificity of the two recommended screening algorithms. Qualitative data will be collected through key informant interviews with health managers and pregnant women and focus group discussions with healthcare workers to understand the rationale, challenges, possible solutions and benefits of the used screening algorithm. We will also explore the meaning of screening/diagnosis to pregnant women, and propose a functional GDM screening algorithm informed by users (i.e. pregnant women, health managers and care workers).

ANC is an entry point for pregnant women to access preventive services including screening for GDM. When done appropriately, GDM screening would reduce undesired outcomes attributed to GDM also beyond the pregnancy period. Through this study we will understand the bottlenecks and propose evidence to inform feasible ways to overcome them and establish a functional and standardized GDM screening service.

Vitamin D, often referred to as the "sunshine vitamin," is an essential fat-soluble vitamin that plays a critical role in bone health and has been shown to improve insulin sensitivity and glucose tolerance. Vitamin D deficiency is prevalent among pregnant and pre-pregnancy women, which increases the risk of developing gestational diabetes mellitus (GDM), a common complication during pregnancy. Recent studies have explored various aspects of the relationship between vitamin D deficiency and GDM, including the mechanisms by which vitamin D affects glucose metabolism, the role of the vitamin D receptor gene, and the impact of routine vitamin D supplementation before and during pregnancy. This paper will review the current research progress in these areas.

Objective In this study, we aimed to evaluate the relationship between body fat percentage (BFP) and the risk of gestational diabetes mellitus (GDM). Methods We conducted a cohort study involving 336 singleton pregnant women attending an antenatal care clinic before 14 weeks of gestation. Body composition was measured during their first antenatal visit by using a multi-frequency segmental body composition analyzer. GDM was diagnosed by a 50-g glucose challenge test (GCT) and a 100-g oral glucose tolerance test (OGTT) during the first visit and repeated during 24-28 weeks of gestation. Rates of GDM were compared between women with BFP ≥30% and those with BFP <30%. The ability of BFP and body mass index (BMI) to diagnose GDM was assessed, as well as their correlation. Results Of the 296 women included in the analysis, 171 had BFP ≥30%, and 125 had BFP <30%. The prevalence of GDM was 17.9%. BFP correlated well with BMI (correlation coefficient: 0.956, p<0.001). BFP ≥30% and BMI ≥25 kg/m2 significantly increased the risk of GDM (22.2% vs. 12%, p=0.023 and 26.4% vs. 14.4%, p=0.014, respectively). The sensitivity of BFP ≥30% and BMI ≥25 kg/m2 for GDM diagnosis was 71.1% and 43.3%, respectively while the specificity was 45.3% and 73.7%, respectively. Both BFP and BMI had comparable efficacy in diagnosing GDM [areas under the receiver operating characteristic (ROC) curves (AUC) of 0.634 and 0.642, respectively]. Conclusions BFP ≥30% and BMI ≥25 kg/m2 significantly increased the risk of GDM. BFP correlated well with BMI and had similar efficacy in diagnosing GDM.

Obesity, gestational diabetes mellitus (GDM), and bariatric metabolic surgery (BMS) are increasingly common conditions during pregnancy.

However, clinical knowledge regarding GDM that occurs after BMS remains full of uncertainties. Given its prevalence and potential consequences for the dyad pregnant and offspring, it is imperative to increase knowledge about GDM after BMS, define diagnostic criteria and consequently strategies capable of improving pregnancy outcomes.

This paper aimed to review GDM screening methods after BMS and gives insights regarding new paths of research on this paramount obstetric condition.

The first International Association of Diabetes and Pregnancy Study Groups Summit on the diagnosis of gestational diabetes in early pregnancy (Treatment of Booking Gestational Diabetes Mellitus (TOBOGM) Summit) was held on the 17 November 2022 in Sydney, Australia. It sought to use the TOBOGM trial findings to scope the issues involved with early screening, to inform future discussions over possible approaches for diagnosing gestational diabetes mellitus (GDM) in early pregnancy. Most delegates supported testing for early GDM using a one-step 75 g oral glucose tolerance test approach with Canadian Diabetes Association criteria preferred, but highlighted the importance of considering resources, cost, consumer perspectives and equity in translating TOBOGM results into a clinical approach to screening for, and diagnosing, early GDM.

Gestational diabetes mellitus (GDM) significantly affects the fetal metabolic environment, elevating risks of neonatal hypoglycemia and macrosomia. Metabolomics offers promising avenues for early prediction and diagnosis of GDM and associated adverse offspring outcomes.

This study analyzed serum samples from pregnant women diagnosed with GDM at 24 to 28 weeks of gestation using untargeted metabolomics. We monitored the health outcomes of their offspring to explore the correlation between initial serum metabolite profiles and subsequent health outcomes, to uncover the predictive markers for hypoglycemia and macrosomia in these offspring.

Out of 200 participants, 154 had normal newborns, 33 had offspring with hypoglycemia, and 19 had offspring with macrosomia. From 448 identified metabolites, 66 showed significant differences in cases of hypoglycemia, and 45 in macrosomia. A panel of serum metabolite biomarkers achieved Area Under the Curve (AUC) values of 0.8712 for predicting hypoglycemia and 0.9434 for macrosomia.

The study delineated metabolic disruptions in GDM during 24-28 weeks of gestation and pinpointed biomarkers capable of forecasting adverse neonatal outcomes. These findings could inform GDM management strategies and minimize the incidence of such outcomes.

Ductus venosus (DV) Doppler velocimetry reflects fetal cardiac function. Gestational diabetes mellitus (GDM) is assumed to impair cardiac function due to fetal hyperglycemia. The purpose of this study was to assess the ability of DV Doppler to predict an adverse perinatal outcome (APO) in term pregnancies with GDM.

This is a retrospective cohort study including GDM pregnancies of singleton, non-anomalous fetuses without any signs of placental dysfunction. All GDM women who primarily had a vaginal delivery attempt and in which DV Doppler was examined from 37+0 weeks on were included. Receiver operating characteristic curve (ROC) analyses were performed to assess the predictive value of DV pulsatility index (DV-PI) regarding a composite APO (CAPO). Furthermore, a subgroup analysis was performed regarding the presence of a large-for-gestational-age (LGA) newborn.

A total of n=89 cases were included. Overall, CAPO occurred in 26 out of 89 cases (29.2%). All DV Doppler examinations showed a positive A wave. DV-PI was>95th percentile in 8 out of 89 cases (9%). Overall, ROC analysis showed no significant association of DV-PI with CAPO (AUC=0.523, p=0.735). However, regarding individual APO parameters, ROC analysis showed a significant association of DV-PI with 5th-min AGPAR (AUC=0.960, p=0.027), which was not confirmed after exclusion of LGA cases.

In GDM pregnancies at term, DV Doppler sonography seems to have no benefit for APO prediction.

To examine the effects of first-trimester HbA1c (HbA1c-FT) ≥ 37 mmol/mol on preterm birth (PTB) and large-for-gestational-age (LGA) babies in a retrospective cohort of South Asian pregnant women with gestational diabetes (GDM).

The cohort (n = 686) was separated into two groups based on HbA1c-FT values: Group A (n = 97) and Group B (n = 589), with values of 37-46 mmol/mol (5.5-6.4%) and < 37 mmol/mol (5.5%), respectively. HbA1c-FT's independent influence on PTB and LGA babies was examined using multivariable logistic regression in groups A and B women. The reference group (Group C) included 2031 non-GDM women with HbA1c-FT < 37 mmol/mol (< 5.5%). The effects of HbA1c-FT on PTB and LGA babies in obese women in Groups A, B, and C (designated as A-ob, B-ob, and C-ob, respectively) were re-analyzed using multivariable logistic regression.

Group A GDM women with greater HbA1c-FT had a higher risk for PTB (aOR:1.86, 95% CI:1.10-3.14) but not LGA babies (aOR:1.13, 95%: 0.70-1.83). The risk of PTB was higher for obese women in Group A-ob: aOR 3.28 [95% CI 1.68-6.39]. However, GDM women with normal HbA1c-FT exhibited no elevated risk for PTB: Groups B and B-ob had aORs of 1.30 (95% CI 0.86-1.98) and 1.28 (95% CI 0.88-1.85) respectively.

South Asian GDM women with prediabetic HbA1c FT; 37-46 mmol/mol (5.5-6.4%) are more likely to deliver preterm babies despite treatment, while the risk for LGA babies was the same as non-GDM women.

Alterations in the placental expression of glucose transporters (GLUTs), the crucial maternal-fetal nutrient transporters, have been found in women with hyperglycemia in pregnancy (HIP). However, there is still uncertainty about the underlying effect of the high-glucose environment on placental GLUTs expression in HIP.

We quantitatively evaluated the activity of mammalian target of rapamycin (mTOR) and expression of GLUTs (GLUT1, GLUT3, and GLUT4) in the placenta of women with normal pregnancies (CTRL, n = 12) and pregnant women complicated with poorly controlled type 2 diabetes mellitus (T2DM, n = 12) by immunohistochemistry. In addition, BeWo cells were treated with different glucose concentrations to verify the regulation of hyperglycemia. Then, changes in the expression of GLUTs following the activation or suppression of the mTOR pathway were also assessed using MHY1485/rapamycin (RAPA) treatment or small interfering RNA (siRNA)-mediated silencing approaches. Moreover, we further explored the alteration and potential upstream regulatory role of methyltransferase-like 3 (METTL3) when exposed to hyperglycemia.

mTOR, phosphorylated mTOR (p-mTOR), and GLUT1 protein levels were upregulated in the placenta of women with T2DM compared with those CTRL. In BeWo cells, mTOR activity increased with increasing glucose concentration, and the expression of GLUT1, GLUT3, and GLUT4 as well as GLUT1 cell membrane translocation were upregulated by hyperglycemia to varying degrees. Both the drug-mediated and genetic depletion of mTOR signaling in BeWo cells suppressed GLUTs expression, whereas MHY1485-induced mTOR activation upregulated GLUTs expression. Additionally, high glucose levels upregulated METTL3 expression and nuclear translocation, and decreasing METTL3 levels suppressed GLUTs expression and mTOR activity and vice versa . Furthermore, in METTL3 knockdown BeWo cells, the inhibitory effect on GLUTs expression was eliminated by activating the mTOR signaling pathway using MHY1485.

High-glucose environment-induced upregulation of METTL3 in trophoblasts regulates the expression of GLUTs through mTOR signaling, contributing to disordered nutrient transport in women with HIP.

Type 2 diabetes mellitus (T2DM) represents a common complication during pregnancy that affects fetoplacental development. We demonstrated the existence of impaired trophoblast syncytialization under hyperglycemic conditions. However, the exact mechanism remains unknown. RNA N6-methyladenosine (m6A) is an emerging regulatory mechanism of mRNA and participates in various biological processes. We described the global m6A modification pattern in T2DM placenta by the combined analysis of methylated RNA immunoprecipitation sequencing (MeRIP-Seq) and RNA sequencing (RNA-Seq). Both the m6A modification and expression of SIK1, which is critical for syncytialization, were significantly decreased in trophoblast exposed to hyperglycemic conditions. In addition, the m6A demethylase fat mass and obesity-associated protein (FTO) affects the expression and mRNA stability of SIK1 by binding to its 3'-untranslated region (UTR) m6A site. This work reveals that the FTO-m6A-SIK1 axis plays critical roles in regulating syncytialization in the placenta.

Short- and long-term complications of gestational diabetes mellitus (GDM) involving pregnancies and offspring warrant the development of an effective individualized risk prediction model to reduce and prevent GDM together with its associated co-morbidities. The aim is to use machine learning (ML) algorithms to study data gathered throughout the first trimester in order to predict GDM.

Two independent cohorts with forty-five features gathered through first trimester were included. We constructed prediction models based on three different algorithms and traditional logistic regression, and deployed additional two ensemble algorithms to identify the importance of individual features.

4799 and 2795 pregnancies were included in the Xinhua Hospital Chongming branch (XHCM) and the Shanghai Pudong New Area People's Hospital (SPNPH) cohorts, respectively. Extreme gradient boosting (XGBoost) predicted GDM with moderate performance (the area under the receiver operating curve (AUC) = 0.75) at pregnancy initiation and good-to-excellent performance (AUC = 0.99) at the end of the first trimester in the XHCM cohort. The trained XGBoost showed moderate performance in the SPNPH cohort (AUC = 0.83). The top predictive features for GDM diagnosis were pre-pregnancy BMI and maternal abdominal circumference at pregnancy initiation, and FPG and HbA1c at the end of the first trimester.

Our work demonstrated that ML models based on the data gathered throughout the first trimester achieved moderate performance in the external validation cohort.

Achieving and maintaining optimal glycemic targets is the fundamental goal of the management of diabetes. However, failure of oral antidiabetic drugs (OADs) to sustain the targeted glycemic levels in individuals with progressing disease often requires initiation of insulin therapy. This article consolidates the expert opinions of 377 doctors who participated in 34 advisory board meetings held digitally (n=23) and in person (n=11) across India. The present report underscores the need for readily available alternatives, such as biosimilar insulins, in the Indian healthcare market to make insulin accessible to every patient with diabetes. The introduction of biosimilar insulins in the Indian healthcare market is the key to making insulin accessible to every patient with diabetes. Biosimilars are biologic products that closely resemble reference/originator biologics and demonstrate no clinically meaningful differences in safety and effectiveness. The concept of interchangeability serves as a pivotal differentiator for biosimilars, underlining their reliability and safety, and plays a significant role in their broader acceptance and integration into healthcare systems. The 'interchangeability' designation by the United States Food and Drug Administration (USFDA) elevates the biosimilar concept, promoting faster and broader adoption of insulin biosimilars, especially benefiting patients prone to non-adherence to insulin therapy. Healthcare providers are encouraged to consider the option of initiating or transitioning to biosimilar insulin glargine to address the insulin accessibility challenges.

This study aimed to investigate changes in retinal microvascular morphology and associated factors, and their relationship with diabetic retinopathy (DR) in children with type 1 diabetes mellitus (T1DM).

Thirty-eight children enrolled in this 3-year follow-up study underwent complete ophthalmic examinations including fundus photography. Retinal vascular parameters were measured automatically and compared between baseline and follow-up. Multiple linear regression was used to investigate factors affecting changes in vascular parameters. Binary logistic regression was used to analyze the relationship between retinal microvascular morphology and DR.

The caliber of all retinal vessels (within 1-1.5 papillary diameter [PD] from the center of the optic disc, p = 0.030; 1.5-2 PD, p = 0.003), arterioles, and venules (1.5-2 PD, p = 0.001) was narrower in nearly all regions in the follow-up group compared with the baseline group. Vascular tortuosity increased in the central part of the retina and decreased in the periphery. The density (1-1.5 PD, p = 0.030) and fractal dimension (p = 0.037) of retinal vessels were increased at the end of the follow-up compared with baseline. Retinal vascular caliber was independently correlated with DR (odds ratio 0.793 [95% confidence interval 0.633-0.993]; p = 0.044).

Retinal microvascular morphology in children with T1DM varied with the disease course. Narrower retinal vessels may be an independent risk factor for DR. Results of this study emphasized the importance of regular follow-up of fundus vascular morphology for the detection of early DR in children with T1DM.

The aim of this study was to compare the sex-dependent intergenerational effects of insulin, glibenclamide, and metformin on glucose and lipid metabolism in the offspring born to GDM mice.

The murine GDM was induced by high fat diet. The offspring were grouped based on the treatments in maternal mice. ITT and GTT were performed at 4th and 8th weeks of age, respectively. Serum levels of TC, TG, HDL-C, and LDL-C plus hepatic levels of TG and TC, were respectively determined by enzymatic kits. Western blotting was conducted to detect related proteins in the livers from offspring.

The dyslipidaemia, hepatic lipid abnormality, and insulin insensitivity caused by GDM were persistently normalised in male adult offspring by the respective therapies of insulin, glibenclamide, and metformin during maternal pregnancy. Specifically, the decreases in plasma TC, TG, and LDL-C levels (29%, 37.8%, and 57.7%, respectively, p ˂ .05) and in hepatic lipid contents (TC 31.3% and TG 39.2%, p ˂ .05), the increases in hepatic phosphorylation levels of AKT, CPT1A, PPAR-α, and PPAR-γ (57.1%, 91.7%, 68%, and 173.3%, respectively, p ˂ .05) and the inhibition of G6Pase, PEPCK, and HMGCS1 (35.7%, 68.8%, and 77.3% respectively, p ˂ .05) were still observed in the male offspring born to treated GDM mice from 4th to 8th week of age. Unexpectedly, the aforementioned parameters in female progenies in different groups were not significantly changed compared with controls.

Respective treatments in GDM mice during pregnancy with insulin, glibenclamide, and metformin have the long-term persistent effects in male offspring, while female progenies born to untreated dams showed an autonomous inhibition of intergenerational relay of glucose and lipid dysregulation. Our current findings may imply a sex-dependent strategy of medical care for GDM mothers and their offspring.NoveltiesRespective interventions of insulin, glibenclamide, and metformin on dams exerted the persisted effects on male progenies.Therapies of three drugs on dams had the similarly improved effects in offspring.Female offspring autonomously corrected their dysregulated glucose-lipid metabolism caused by gestational diabetes mellitus (GDM) in dams.

Background Gestational diabetes mellitus (GDM), diagnosed during pregnancy, can harm both mothers and neonates. GDM awareness among women varies among various countries. Understanding the level of awareness is vital for designing effective health interventions. Objectives This study aimed to evaluate GDM awareness among married females at primary healthcare centers (PHCCs) in Qassim, Saudi Arabia, focusing on knowledge regarding adverse maternal and fetal outcomes of GDM. Methods An observational cross-sectional study was conducted among married females at PHCCs in Qassim, from June 2023 to October 2023. A two-stage cluster sampling method was used. Four PHCCs were selected in the first stage, and study participants were selected from these centers in the second stage. A self-administered questionnaire was used. Statistical Product and Service Solutions (SPSS, version 23; IBM SPSS Statistics for Windows, Armonk, NY) was used for statistical analysis. Results Of the 270 participants, the majority (72.2%) demonstrated 'poor' knowledge about GDM adverse outcomes for both mothers and neonates, 17.8% demonstrated a 'fair' level, and only 10% displayed a 'good' knowledge. Participants' educational level, personal history of diabetes, and age were associated with knowledge levels. Awareness of specific outcomes related to GDM, both maternal and neonatal, varied among participants. Information on GDM was mainly obtained from mass media and personal networks, while healthcare providers were reported as the least common source. Conclusion Based on the results of our study, we conclude that educational interventions, especially involving healthcare providers, are essential to improve awareness about GDM adverse outcomes. Strategies involving educational sessions by healthcare providers and health education materials at PHCCs can improve awareness leading to effective management of GDM and improved maternal and neonatal outcomes.

Gestational diabetes mellitus's (GDM's) prevalence in Sri Lanka ranges from 5.5% to 11.5%. It is associated with maternal and perinatal complications, emphasizing the need for early screening and intervention. This study aims to determine the predictive effect of early pregnancy lipid profile and fasting plasma glucose for GDM.

It is a prospective cohort study of 172 pregnant women attending antenatal clinics at a tertiary hospital in Jaffna, Sri Lanka. Prediction was derived by calculating odds ratios (ORs) and 95% confidence intervals (CIs) in multivariable logistic regression, assessing lipid and glucose effects on GDM risk.

The study included 172 participants (mean age: 29.84±5.38). GDM's prevalence was 16.9%, and 57.14% of these mothers were obese. Significant differences in fasting plasma glucose (FPG) values were observed between the first visit and at 24-28 weeks. GDM mothers showed elevated total cholesterol and low-density lipoprotein (LDL) levels. Triglyceride (TG) levels correlated significantly with FPG at the Point of Assessment (POA), identifying a 0.945 mmol/L cutoff with 75% sensitivity and 77.1% specificity. Logistic regression confirmed a significant TG-GDM relationship. There is an association between FPG levels measured in early pregnancy and the likelihood of developing GDM later on. Specifically, when FPG levels in early pregnancy surpass a cutoff value of 3.94 mmol/L, there is an increased risk of GDM, indicated by an OR of 3.81 Conclusion: Early pregnancy FPG and TG levels are potential markers for predicting GDM. FPG shows higher predictive efficacy than TG. Total cholesterol, LDL, and high-density lipoprotein (HDL) lack predictive ability.

To develop and validate a model to predict the preconception risk of gestational diabetes mellitus (GDM) in nulliparous women.

This was a retrospective cohort study. A total of 1565 women in early pregnancy who underwent preconception health examinations in the Women and Children's Hospital of Chongqing Medical University between January 2020 and June 2021 were invited to participate in a questionnaire survey. Logistic regression analysis was performed to determine the preconception risk factors for GDM. These factors were used to construct a model to predict GDM risk in nulliparous women. Then, the model was used to assess the preconception risk of GDM in 1060 nulliparous women.

Independent preconception risk factors for GDM included the following: age 35 years or greater, diastolic blood pressure 80 mm Hg or greater, fasting plasma glucose 5.1 mmol/L or greater, body mass index (BMI, calculated as weight in kilograms divided by the square of height in meters) 24 or greater, weight gain 10 kg or greater in the year before pregnancy, age of menarche 15 years or greater, three or more previous pregnancies, daily staple food intake 300 g or greater, fondness for sweets, and family history of diabetes. BMI less than 18.5, daily physical activity duration 1 h or greater, and high-intensity physical activity were protective factors. These factors were used to construct a model to predict GDM risk in nulliparous women, and the incidence of GDM significantly increased as the risk score increased. The area under the curve of the prediction model was 0.82 (95% confidence interval 0.80-0.85).

The preconception GDM risk prediction model demonstrated good predictive efficacy and can be used to identify populations at high risk of GDM before pregnancy, which provides the possibility for preconception intervention.

Hyperglycemia in pregnancy can increase the risk of congenital disorders, but little is known about craniofacial skeleton malformation and its corresponding medication. Our study first used meta-analysis to review the previous findings. Second, baicalin, an antioxidant, was chosen to counteract high glucose-induced craniofacial skeleton malformation. Its effectiveness was then tested by exposing chicken embryos to a combination of high glucose (HG, 50 mM) and 6 μM baicalin. Third, whole-mount immunofluorescence staining and in situ hybridization revealed that baicalin administration could reverse HG-inhibited neural crest cells (NCC) delamination and migration through upregulating the expression of Pax7 and Foxd3, and mitigate the disordered epithelial-mesenchymal transition (EMT) process by regulating corresponding adhesion molecules and transcription factors (i.e., E-cadherin, N-cadherin, Cadherin 6B, Slug and Msx1). Finally, through bioinformatic analysis and cellular thermal shift assay, we identified the AKR1B1 gene as a potential target. In summary, these findings suggest that baicalin could be used as a therapeutic agent for high glucose-induced craniofacial skeleton malformation.

Adopting the WHO protocol for glucose analysis is arguably impractical in the routine clinical setting. Deviations may develop due to a lack of understanding regarding the impact of glycolysis on the accuracy of results.

We sought to assess the stability of glucose in two different blood collection tubes (BCT), BD Vacutainer® FX 'Fl-Ox' and Greiner Vacuette® FC-Mix 'FC-Mix' stored at room temperature (RT:18-22°C) and 4°C over 8.5 days.

Each participant provided venous whole blood collected into 51 BCTs; 'Fl-Ox' (n = 26) and 'FC-Mix' (n = 25). One Fl-Ox sample from each participant was handled according to the WHO recommended method. The remaining BCTs were stored at 4°C/RT prior to analyses at designated study timepoints. Glucose was measured using the hexokinase assay on the Cobas® 8000 platform.

Participants (n = 8, Male = 2) were aged 24-56 years. Plasma glucose measured in FI-Ox BCTs according to the WHO sample-handling method had a median concentration of 5.73 mmol/L (Range: 5.39-10.37 mmol/L). Glucose decreased by greater than minimal difference (>0.26 mmol/L) in blood collected into Fl-Ox and stored @4°C/RT within 24 h of phlebotomy. FC-Mix BCT maintained glucose <0.26 mmol/L @4°C over a period of 8.5 days and up to 4 days @RT when compared to the WHO recommended method.

Glucose in FC-Mix BCT stored @4°C demonstrated the best agreement with results determined using the WHO specifications. When FC-Mix tubes were stored @RT, glucose was stable for 4 days. These findings suggest that the FC-Mix BCT effectively inhibits glycolysis and should be introduced into routine clinical practice.

We aimed to assess maternal-fetal outcomes according to various subtypes of hyperglycaemia in pregnancy.

We used data from the French National Health Data System (Système National des Données de Santé), which links individual data from the hospital discharge database and the French National Health Insurance information system. We included all deliveries after 22 gestational weeks (GW) in women without pre-existing diabetes recorded in 2018. Women with hyperglycaemia were classified as having overt diabetes in pregnancy or gestational diabetes mellitus (GDM), then categorised into three subgroups according to their gestational age at the time of GDM diagnosis: before 22 GW (GDM<22); between 22 and 30 GW (GDM22-30); and after 30 GW (GDM>30). Adjusted prevalence ratios (95% CI) for the outcomes were estimated after adjusting for maternal age, gestational age and socioeconomic status. Due to the multiple tests, we considered an association to be statistically significant according to the Holm-Bonferroni procedure. To take into account the potential immortal time bias, we performed analyses on deliveries at ≥31 GW and deliveries at ≥37 GW.

The study population of 695,912 women who gave birth in 2018 included 84,705 women (12.2%) with hyperglycaemia in pregnancy: overt diabetes in pregnancy, 0.4%; GDM<22, 36.8%; GDM22-30, 52.4%; and GDM>30, 10.4%. The following outcomes were statistically significant after Holm-Bonferroni adjustment for deliveries at ≥31 GW using GDM22-30 as the reference. Caesarean sections (1.54 [1.39, 1.72]), large-for-gestational-age (LGA) infants (2.00 [1.72, 2.32]), Erb's palsy or clavicle fracture (6.38 [2.42, 16.8]), preterm birth (1.84 [1.41, 2.40]) and neonatal hypoglycaemia (1.98 [1.39, 2.83]) were more frequent in women with overt diabetes. Similarly, LGA infants (1.10 [1.06, 1.14]) and Erb's palsy or clavicle fracture (1.55 [1.22, 1.99]) were more frequent in GDM<22. LGA infants (1.44 [1.37, 1.52]) were more frequent in GDM>30. Finally, women without hyperglycaemia in pregnancy were less likely to have preeclampsia or eclampsia (0.74 [0.69, 0.79]), Caesarean section (0.80 [0.79, 0.82]), pregnancy and postpartum haemorrhage (0.93 [0.89, 0.96]), LGA neonate (0.67 [0.65, 0.69]), premature neonate (0.80 [0.77, 0.83]) and neonate with neonatal hypoglycaemia (0.73 [0.66, 0.82]). Overall, the results were similar for deliveries at ≥37 GW. Although the estimation of the adjusted prevalence ratio of perinatal death was five times higher (5.06 [1.87, 13.7]) for women with overt diabetes, this result was non-significant after Holm-Bonferroni adjustment.

Compared with GDM22-30, overt diabetes, GDM<22 and, to a lesser extent, GDM>30 were associated with poorer maternal-fetal outcomes.

To establish diagnostic criteria for the 75-g 2-h glucose tolerance test (GTT) to diagnose gestational diabetes and define the clinical entity of gestational hyperglycemia.

A retrospective analysis was performed of the results from 500 patients who had a 75-g 1-h glucose challenge test (GCT) in early pregnancy as part of a two-step approach to screening and testing for gestational diabetes. The selected cohort was considered to have normal islet β-cell function, and upper glycemic levels of normal glucose tolerance in the third trimester were statistically calculated, taking the cutoff threshold values to be the diagnostic criteria for the 75-g 2-h GTT. Gestational hyperglycemia was diagnosed from the false-positive GCT result when ≥8.0 mmol/L (144 mg/dL).

The diagnostic criteria for the 75-g 2-h GTT were calculated as follows: fasting plasma glucose ≥5.4 mmol/L (97 mg/dL); 1-h plasma glucose ≥10.5 mmol/L (189 mg/dL); and 2-h plasma glucose ≥8.4 mmol/L (151 mg/dL). The new criteria confirmed a prevalence of gestational diabetes of 11.1% and gestational hyperglycemia of 13.6% in the study population.

Novel diagnostic criteria for the 75-g 2-h GTT were established by statistical analysis. This resulted in a more acceptable prevalence of gestational diabetes in our community and the false-positive GCT allowed the detection of gestational hyperglycemia.

Women with migration background present specific challenges related to risk stratification and care of gestational diabetes mellitus (GDM). Therefore, this study aims to investigate the role of ethnic origin on the risk of developing GDM in a multiethnic European cohort.

Pregnant women were included at a median gestational age of 12.9 weeks and assigned to the geographical regions of origin: Caucasian Europe (n = 731), Middle East and North Africa countries (MENA, n = 195), Asia (n = 127) and Sub-Saharan Africa (SSA, n = 48). At the time of recruitment maternal characteristics, glucometabolic parameters and dietary habits were assessed. An oral glucose tolerance test was performed in mid-gestation for GDM diagnosis.

Mothers with Caucasian ancestry were older and had higher blood pressure and an adverse lipoprotein profile as compared to non-Caucasian mothers, whereas non-Caucasian women (especially those from MENA countries) had a higher BMI and were more insulin resistant. Moreover, we found distinct dietary habits. Non-Caucasian mothers, especially those from MENA and Asian countries, had increased incidence of GDM as compared to the Caucasian population (OR 1.87, 95%CI 1.40 to 2.52, p < 0.001). Early gestational fasting glucose and insulin sensitivity were consistent risk factors across different ethnic populations, however, pregestational BMI was of particular importance in Asian mothers.

Prevalence of GDM was higher among women from MENA and Asian countries, who already showed adverse glucometabolic profiles at early gestation. Fasting glucose and early gestational insulin resistance (as well as higher BMI in women from Asia) were identified as important risk factors in Caucasian and non-Caucasian patients.

This study aimed to assess the current status of gestational diabetes mellitus (GDM) diagnosis and management, and the demand for a digital healthcare system, in order to develop an optimal digital-based management model for GDM. An anonymous online survey was conducted targeting pregnant/postpartum women (Group W), internal medicine physicians (Group P), and obstetricians (group O) from September 6, 2022 to December 31, 2022. The survey assessed the women's knowledge of GDM and gathered information about healthcare professionals' (HCPs) current GDM management practices. All groups were asked about their acceptance of and demands for a digital healthcare system for GDM. Statistical comparisons between groups were conducted using the chi-square test or Fisher's exact test where appropriate. A total of 168 participants were in Group W, 185 in Group P, and 256 in Group O. Participants from all groups recognized the need for a digital healthcare system for GDM (Group W: 95.8%, Group P: 85.9%, Group O: 60%). However, HCPs showed less willingness to integrate these systems into their clinics than pregnant/postpartum women. Essential features identified were recording blood glucose levels and insulin, along with automatic data linkage from self-monitoring devices. Group W showed a higher preference for lab test access, search functionality, and fetal weight assessment than groups P and O (all P < .0001), while Groups P and O had a greater preference for recording insulin and maternal body weight compared to Group W (P = .0141 and .0023, respectively). Both pregnant/postpartum women and HCPs acknowledged the benefits of utilizing a digital healthcare system for managing GDM. However, there were differences in perspectives among these groups.

The COVID-19 pandemic has profoundly affected healthcare systems worldwide, with significant collateral damage to vulnerable populations, including the perinatal population. This study sought to compare pregnancy-related complications before and during the COVID-19 pandemic in Iran.

This retrospective data analysis was performed from February 20 to August 20, 2019 (prior to the onset of the COVID-19 pandemic) and from February 20 to August 20, 2020 (during the pandemic), encompassing the initial wave of the pandemic and the subsequent lockdown. To collect data, we utilized the medical records of 168,358 women obtained from the Iranian Maternal and Neonatal Network, which is a comprehensive electronic health record database management system specifically designed to store information pertaining to maternal and neonatal health.

A total of 168,358 medical records were analyzed, with 87388 (51.9%) and 80970 (48.1%) before and during the pandemic, respectively. The occurrence of pregnancy complications was found to be significantly more frequent during the pandemic compared to the pre-pandemic period. Notably, there was a higher likelihood of experiencing preeclampsia (odds ratio [OR]=1.14, 95% confidence interval [CI]: 1.07‒1.22, P=0.0001) and gestational diabetes (OR=1.14, 95% CI: 1.09‒1.19, P=0.0001) during the pandemic. Furthermore, cesarean section (CS) became more prevalent during the pandemic in comparison to vaginal delivery (OR=1.19, 95% CI: 1.17‒-1.22, P=0.0001).

Our findings demonstrated a significant association between the COVID-19 pandemic and an escalation in adverse pregnancy outcomes, notably preeclampsia, gestational diabetes, and CS deliveries. However, further research is warranted to gain a richer understanding of the intricate interplay between the COVID-19 pandemic and pregnancy complications. This is particularly crucial in light of the evolving landscape of new coronavirus variants.

This review aimed to appraise clinical guidelines about exercise for women with gestational diabetes mellitus and summarize consensus and inconsistent recommendations.

Exercise is an effective non-pharmacological therapeutic for gestational diabetes mellitus, but the variety of relevant clinical practice guidelines is confusing for healthcare professionals.

This is a systematic review of clinical practice guidelines.

Websites of guideline development institutions, eight literature databases and organizations of obstetricians, gynaecologists, midwives, and medical sports associations were searched for guidelines published from January 2011 to October 2021.

Two reviewers independently extracted recommendations. Four reviewers assessed guideline quality using the AGREE II instrument independently.

Fifteen guidelines were included. All women with diabetes are recommended to exercise during pregnancy. The consistent recommendations were for pre-exercise screening, for 30 min per exercise session on 5 days of the week or every day after meals, exercise at moderate intensity, using aerobic and resistance exercise, and walking. The main non-consistent recommendations included warning signs for women on insulin during exercise, minimum duration per session, intensity assessment, duration and frequency of sessions for strengthening and flexibility exercise and detailed physical activity giving birth.

Guidelines strongly support pregnant women with diabetes to exercise regularly. Research is needed to make non-consistent recommendations clear.

To evaluate fetomaternal outcomes in women who are normoglycemic by Diabetes in Pregnancy Study Group India (DIPSI) but have gestational diabetes mellitus (GDM) by WHO criteria versus those who are normoglycemic by both DIPSI and WHO criteria.

This was a prospective, cohort study. A total of 635 women participated. They underwent a 2-h non-fasting oral glucose tolerance test (OGTT) and results were interpreted by DIPSI. Out of 635 women, 52 were lost to follow up and 33 were diagnosed as GDM by DIPSI and excluded from the study. The remaining 550 women, after 72 h from the first test, underwent a 75-g fasting-OGTT and results were interpreted using WHO 2013 criteria. Results of the second test were blinded till delivery. The 550 women were followed for fetomaternal outcomes. Participants with normal DIPSI and normal WHO 2013 OGTT were labeled group 1. Participants with normal DIPSI but abnormal WHO 2013 OGTT were labeled group 2. Fetomaternal outcomes were compared between these groups.

Occurrence of GDM by DIPSI was 5.1%, by WHO 2013 criteria it was 10.5%. Composite fetomaternal outcomes occurred more commonly in women with a normal DIPSI but an abnormal WHO 2013 test. Out of 550 women, 492 had normal DIPSI and normal WHO 2013 test. Out of this 492, 116 (23.6%) women had adverse fetomaternal outcomes. Fifty-eight women out of 550 had a normal DIPSI but an abnormal WHO 2013 test. Thirty-seven (63.8%) women out of 58 had adverse fetomaternal outcomes. We found statistically significant association between adverse fetomaternal outcome and GDM by WHO 2013 test (with normal DIPSI test).

WHO 2013 has superior diagnostic value compared with DIPSI criteria for diagnosis of GDM.

Gestational diabetes mellitus (GDM) is the fastest-growing type of diabetes in Australia. We aimed to assess the time trends during 2009-2018 and projections of GDM in Queensland, Australia up to 2030.

The study data were from the Queensland Perinatal Data Collection (QPDC) and included data on 606 662 birth events with the births reported from at least 20 weeks gestational age or birth weight at least 400 g. Bayesian regression model was used to assess the trends in the prevalence of GDM.

The prevalence of GDM increased from 5.47 to 13.62% from 2009 to 2018 (average annual rate of change, AARC = +10.71%). If the trend remains the same, the projected prevalence will increase to 42.04% (95% uncertainty interval = 34.77-48.96) by 2030. Observing AARC across different subpopulations, we found that the trend of GDM increased markedly among women living in inner regional areas (AARC = +12.49%), were non-Indigenous (AARC = +10.93%), most disadvantaged (AARC = +11.84%), aged either of two age groups (AARC = +18.45% and + 15.17% for <20 years and 20-24 years, respectively), were with obesity (AARC = +11.05%) and smoked during pregnancy (AARC = +12.26%).

Overall, the prevalence of GDM has sharply increased in Queensland, and if this trend continues, about 42% of pregnant women will experience GDM by 2030. The trends vary across different subpopulations. Therefore, targeting the most vulnerable subpopulations is vital to prevent the development of GDM.

N6-methyladenosine (m6A) is one of the predominant RNA epigenetic modifications that modify RNAs reversibly and dynamically by "writers" (methyltransferase), "erasers" (demethylase), and "readers."

This review aimed to provide a comprehensive understanding of the complexity of m6A regulation in the great obstetrical syndromes to understand its pathogenesis and potential therapeutic targets.

The terms "placenta or trophoblast" and "m6A or N6-methyladenosine" were searched in PubMed databases (June 2023).

In this review, we discuss the regulatory role of m6A in the great obstetrical syndromes such as preeclampsia (PE), spontaneous abortion (SA), hyperglycemia in pregnancy (HIP) and fetal growth to emphasize the clinical relevance of m6A dysregulation in pregnancy. We also describe mechanisms that potentially involve the participation of m6A methylation, such as proliferation, invasion, migration, apoptosis, autophagy, endoplasmic reticulum stress, macrophage polarization, and inflammation.

We summarize the recent research progress on the role of m6A modification in the great obstetrical syndromes and placental function and provide a brief perspective on its prospective applications.

Diabetes is a very common metabolic condition during pregnancy. The number of cases increases with age and obesity. The prevalence of pre-gestational diabetes and gestational diabetes (GD) differs between different ethnic groups.

The aim of the study was to analyse the prevalence of pre-gestational diabetes and GD in the health region of Lleida. We also studied the GD risk factors during pregnancy according to the country of origin of the pregnant woman.

We performed a retrospective observational cohort study among pregnant women between 2012 and 2018 in the health region of Lleida. A multivariate model was performed with the different variables analysed by calculating the regression coefficient and its 95% confidence interval (CI).

In our sample of 17,177 pregnant women, we observed a prevalence of pre-gestational diabetes and GD of 8.2% and 6.5%, respectively. We found a relationship of gestational diabetes with different factors: age, with 6.8% in 30-34 year-old women and 11.3% in women over 35 (OR 1.78 and 3.29, respectively); overweight, with 8.29% (OR 1.89); and obesity, with 12.9% (OR 3.15). Finally, women from Asia and the Middle East and the Maghreb had a higher risk of diabetes, with 12.2% (OR 2.1) and 9.91% (OR 1.3), respectively, and Sub-Saharan women had a lower risk of it 6.07% (OR 0.71).

GD has different risk factors, such as age, overweight, and obesity. Non-related conditions include hypothyroidism, arterial hypertension, and dyslipidaemia. Finally, pregnant women from the Maghreb, and Asia and the Middle East, are at higher risk of developing diabetes during pregnancy; meanwhile, Sub-Saharan origin is protector factor.

Previous studies have proved that exposure to extreme temperature in specific windows of pregnancy could cause some complications, such as pregnancy induced hypertension (PIH) and gestational diabetes mellitus (GDM), but differences in the effect of extreme temperature on the 2 complications are rarely studied. We carried a retrospective study on the impact of temperature on GDM/PIH in different trimesters based on data from a maternal and child health center in Beijing, China. Ambient temperatures (°C) were obtained from the China Meteorological Administration from January 1st, 2013 to May 15th, 2018. We use distributed lag non-linear models (DLNMs) combined with logistic regression to calculate the lag exposure-response relationships between the temperature and GDM/PIH from 1st to 24th/20th weeks of pregnancy. In both first and second trimesters, the risk of GDM was increased in summer with high temperatures; in second trimester, the risk of GDM increased in winter with low temperatures. In first half of pregnancy, risk of PIH was decreased in winter with low temperatures. These findings can provide the guideline for preventing the GDM and PIH induced by extreme temperature during pregnancy.

We aimed to determine the predictive values of fetal pancreas size and maternal serum biomarkers glycated albumin (GA) and insulin-regulated aminopeptidase (IRAP) for gestational diabetes mellitus (GDM).

In this prospective observational study including 109 pregnant women, the fetal pancreas size and maternal serum biomarkers GA and IRAP were measured at the gestational age of 20-22 weeks and later at the gestational age of 24-28 weeks, in 19 participants of them, GDM was confirmed with the 75-g oral glucose tolerance test (OGTT) and the fetal pancreas size was measured in all the participants again.

The median fetal pancreas sizes were significantly higher in women with or without GDM when measured at the 24-28 weeks of pregnancy compared to those at the 20-22 weeks of pregnancy (p < 0.05). At both of the 20-22 and 24-28 weeks of pregnancy, the median values of fetal pancreas sizes in the women with or without GDM were found comparable (p > 0.05). There were no significant differences between pregnant women with or without GDM regarding maternal serum biomarkers GA and IRAP (p > 0.05). Multivariate logistic regression analysis revealed no meaningful association of study parameters with the development of GDM.

The fetal pancreas size and maternal serum biomarkers GA and IRAP provide no potential for early prediction of GDM at the 20-22 weeks of gestation. Further studies, including serial measurement of these parameters during the second and third trimesters of GDM pregnancies, may clarify their role in the antenatal care of women with GDM.

NCT05392231.

Quinoa intake exerts hypoglycemic and hypolipidemic effects in animals and humans. Although peptides from quinoa inhibit key enzymes involved in glucose homeostasis in vitro, their in vivo antidiabetic properties have not been investigated.

This study evaluated the effect of oral administration of a quinoa protein hydrolysate (QH) produced through enzymatic hydrolysis and fractionation by electrodialysis with ultrafiltration membrane (EDUF) (FQH) on the metabolic and pregnancy outcomes of Lepdb/+ pregnant mice, a preclinical model of gestational diabetes mellitus. The 4-week pregestational consumption of 2.5 mg mL-1 of QH in water prevented glucose intolerance and improves hepatic insulin signaling in dams, also reducing fetal weights. Sequencing and bioinformatic analyses of the defatted FQH (FQHD) identified 11 peptides 6-10 amino acids long that aligned with the quinoa proteome and exhibited putative anti-dipeptidyl peptidase-4 (DPP-IV) activity, confirmed in vitro in QH, FQH, and FDQH fractions. Peptides homologous to mouse and human proteins enriched for biological processes related to glucose metabolism are also identified.

Processing of quinoa protein may be used to develop a safe and effective nutritional intervention to control glucose intolerance during pregnancy. Further studies are required to confirm if this nutritional intervention is applicable to pregnant women.

To assess differences in obstetric practices between Syrian war refugees (SRs) and non-Syrian nonrefugees (NSRs) in a tertiary care provider in Germany.

This was a retrospective study of SRs (n = 356) and NSRs (n = 5836) giving birth between January 2015 and December 2018. Data on medical history, birth mode, complications, and neonatal parameters was extracted. Group differences were evaluated using Mann-Whitney and χ2 test. Logistic regression models were fitted to investigate the association of refugee status with mode of birth in conditions associated with increased risk of cesarean section (CS).

SRs had higher rates of adolescent pregnancies (1.7% versus 0.6%, P = 0.020) but fewer maternal diseases compared with NSRs (1.7% versus 3.9%, P = 0.035). The rate of CS was higher in the NSR group (43.9% versus 36%, P = 0.003), as well as the rates of premature rupture of membranes (P = 0.006) and steroid administration for lung maturation (P = 0.012). Cases of umbilical artery pH ≤7.0 were more common in SRs (0.4% versus 1.1%, P = 0.027). Women with previous CS had similar odds of CS in the current pregnancy irrespective of study group (odds ratio, 0.94 [95% confidence interval, 0.50-1.75]).

SR women had lower rates of CS but higher rates of adolescent pregnancies and neonatal pH ≤7.0 at birth compared with NSR women.

Strict glycemic control is important to prevent perinatal complications in patients with gestational diabetes mellitus (GDM). Patients often require insulin injection, and frequent hospital visits are necessary to adjust the dose of insulin, which is considered burdensome for pregnant patients. Telemedicine may reduce the burden of hospital visits, and previous studies have reported its safety in GDM patients. This study aimed to evaluate the efficacy of telemedicine in GDM patients, focusing on patient satisfaction and health economic indicators.

This is a single-center, two-arm, randomized, open-label parallel-group study. Subjects will be selected from the patient population attending the Department of Endocrinology, Metabolism, and Nephrology, Keio University School of Medicine, Japan. Patients diagnosed with GDM by an oral glucose tolerance test (OGTT) by 29 weeks and 6 days of gestation who have undergone self-monitoring of blood glucose (SMBG) and insulin injection are eligible for inclusion. In the intervention group, telemedicine will be administered using the MeDaCa telemedicine system developed by the Medical Data Card, Inc., Tokyo, Japan. Subjects in the control group will be examined face-to-face every 2-3 weeks, as usual. We set health economic indicators and patient satisfaction as the primary endpoints, and will perform a cost-consequence analysis. Glycemic control indicators and perinatal outcomes will be evaluated as secondary endpoints.

Eligible patients are currently being recruited. Recruitment will be completed when the expected number of patients are enrolled.