Diagnosing a pregnant woman\'s glucose intolerance is referred to as gestational diabetes mellitus (GDM). Diabetes has been linked to enhanced oxidative stress. In this condition, oxidative stress may damage nucleic acids, fats, and proteins, which in turn affects cell and tissue functions. The present study highlights the relationship between oxidative stress and GDM, with a particular focus on the role of hyperglycemia-induced processes during reactive oxygen species (ROS) oversupply, followed by it discusses the oxidative stress biomarkers and assesses the effects of antioxidant supplements on glycemic control, inflammatory processes, and oxidative stress among individuals with GDM. Two reviewers conducted a comprehensive literature search utilizing the PubMed®, Web of Science™, and Scopus® databases. Only items published in the English language up until June 2024 were taken into account. We conducted a thorough search of research databases to identify articles that had the terms \"oxidative stress\" or \"antioxidant\" and \"GDM\". From this search, we selected 55 relevant papers to be included in this narrative review. Pregnancy-induced hypertension, postpartum bleeding, lower birth weight, a higher risk of hyperbilirubinemia in their neonates, fetal growth retardation, and birth asphyxia were revealed to be outcomes of women enduring major oxidative stress during pregnancy. Furthermore, tight glycemic control both before and throughout pregnancy as well as oxidative stress treatment may help women highly prone to GDM.

Air pollution (AP) is detrimental to pregnancies including increasing risk factors of gestational diabetes mellitus. We hypothesized that exposure to AP causes cardiovascular and metabolic disruption thereby altering placental gene expression, which in turn affects the placental phenotype and thereby embryonic/fetal development. To test this hypothesis, we investigated the impact of intra-nasal instilled AP upon gestational day 16-19 maternal mouse cardiovascular and metabolic status, placental nutrient transporters, and placental-fetal size and morphology. To further unravel mechanisms, we also examined placental total DNA 5\'-hydroxymethylation and bulk RNA sequenced gene expression profiles. AP exposed pregnant mice and fetuses were tachycardic with a reduction in maternal left ventricular fractional shortening and increased uterine artery with decreased umbilical artery systolic peak velocities. In addition, they were hyperglycemic, glucose intolerant and insulin resistant, with changes in placental glucose (Glut3) and fatty acid (Fatp1 & Cd36) transporters, and a spatial disruption of cells expressing Glut10 that imports L-dehydroascorbic acid in protecting against oxidative stress. Placentas revealed inflammatory cellular infiltration with associated cellular edema and necrosis, with dilated vascular spaces and hemorrhage. Placental and fetal body weights decreased in mid-gestation with a reduction in brain cortical thickness emerging in late gestation. Placental total DNA 5\'-hydroxymethylation was 2.5-fold higher, with perturbed gene expression profiles involving key metabolic, inflammatory, transcriptional, cellular polarizing and processing genes and pathways. We conclude that gestational exposure to AP incites a maternal inflammatory response resulting in features mimicking maternal gestational diabetes mellitus with altered placental DNA 5\'-hydroxymethylation, gene expression, and associated injury.

OBJECTIVE: To evaluate and compare the risk of progressing to type 2 diabetes (T2DM) based on the timing of gestational diabetes (GDM) diagnosis during pregnancy.
METHODS: Retrospective analysis of pregnant individuals with gestational diabetes and post-pregnancy follow up. Data sourced from Meuhedet HMO\'s computerized laboratory system, cross-tabulated with the Israeli National Diabetes Registry. The cohort was divided into normoglycemic, early GDM (diagnosed by fasting plasma glucose 92-125 mg/dL (5.1-6.9 mM) at < 15 weeks), 2nd trimester GDM (diagnosed at 24-28 weeks), and late GDM (diagnosed after 29 weeks). Statistics included univariate analysis followed by survival analysis. Risk was further analyzed for individuals by obesity status.
RESULTS: 75,459 entered the analysis: 90 % normoglycemic, 7.9 % early GDM, 1.4 % 2nd trimester GDM, and 0.7 % late GDM. Median post-pregnancy follow-up time was 4.3 (IQR 3.3-5.1). 2nd trimester GDM showed the highest T2DM risk annually after pregnancy. Cox regression analysis, adjusted for confounders, revealed a significantly higher T2DM risk for 2nd-trimester GDM compared to early and late GDM. Late GDM did not confer additional significant T2DM risk. Stratification by obesity status highlighted that early GDM increased the risk of T2DM only in individuals without obesity.
CONCLUSIONS: GDM diagnosis timing significantly impacts T2DM risk. 2nd trimester GDM carries the highest T2DM risk.

Background/Objectives: There are indications that the microbial composition of the maternal mucosal surfaces is associated with adverse events during pregnancy. The aim of this review is to investigate the link between vaginal microbiome alterations and gestational complication risk. Methods: This comprehensive literature review was performed using Medline and Scopus databases. The following search algorithm was used, \"Pregnancy Complications\" [Mesh] AND (Vagin*), and after the literature screening, 44 studies were included in the final review. Results: The studies that were included investigated the association between vaginal microbial composition and preterm birth, miscarriage, preeclampsia, ectopic pregnancy, gestational diabetes mellitus, chorioamnionitis, and preterm premature rupture of membranes. In most of the studies, it was well established that increased microbial diversity is associated with these conditions. Also, the depletion of Lactobacillus species is linked to most of the gestational complications, while the increased relative abundance and especially Lactobacillus crispatus may exert a protective effect in favor of the pregnant woman. Several pathogenic taxa including Gardnerella, Prevotella, Sneathia, Bacterial Vaginosis-Associated Bacteria-2, Atopobium, and Megasphera seem to be correlated to higher maternal morbidity. Conclusions: Vaginal microbiome aberrations seem to have an association with pregnancy-related adverse events, but more high-quality homogenous studies are necessary to reliably verify this link.

The aim of this systematic review was to examine the available scientific literature on ultrasound-detected fetal liver changes in pregnant women with gestational diabetes mellitus (GDM) and to explore the potential of these markers to inform clinical management and improve outcomes. A total of four articles investigating fetal liver changes in GDM pregnancies were selected. The studies varied in methodology, gestational age studied, and diagnostic criteria for GDM. Fetal liver indices, such as fetal liver length and fetal liver volume, emerged as potential markers for identifying GDM and predicting adverse outcomes. Studies suggest an association between fetal liver changes and GDM, with implications for both maternal glycemic control and fetal metabolic adaptation. Variability in study methodology highlights the need for standardized approaches to assess fetal hepatic indices and their correlation with GDM outcomes.

UNASSIGNED: The purpose of this investigation was to examine the potential association between non-alcoholic fatty liver disease (NAFLD) and adverse maternal and perinatal outcomes during pregnancy.
UNASSIGNED: Gaining insights into the effect of NAFLD on pregnancy outcomes is essential to ensure the health and well-being of mothers and infants.
UNASSIGNED: This prospective cohort study was conducted at Imam Khomeini and Razi hospitals of Ahvaz City in 2022. Totally, 180 pregnant women in the NAFLD group to 180 in the control group. In this study, a researcher-made checklist was used to collect the background information, medical history, and lab data during their initial visit using. Follow-up continued until one week after delivery, with pregnancy outcomes assessed. Statistical analysis used student\'s t-test and the Chi-Square test for group comparisons.
UNASSIGNED: Significant differences were observed between the NAFLD, and control groups in terms of age (P=0.003), BMI (P=0.016), ALT and AST measures (P<0.001), and hypertensive complications (P=0.044). The NAFLD group had higher rates of gestational diabetes (P<0.001) and gestational hypertension (P=0.003). However, no significant differences were found in gestational age at delivery, early postpartum hemorrhage rates, birth weight, and neonatal Apgar scores (P>0.05).
UNASSIGNED: The pregnant women with NAFLD may be at risk for various complications during pregnancy, including a higher prevalence of gestational diabetes, elevated liver enzymes, and higher blood pressure compared to healthy pregnant women. However, the research failed to identify any statistically significant disparities between infants born to mothers with NAFLD and those delivered to healthy mothers in relation to birth weight, Apgar scores, or neonatal mortality.

UNASSIGNED: The causality between frailty and gestational diabetes mellitus (GDM) has not yet been fully explored. A potential bidirectional causality was also needed to be confirmed.
UNASSIGNED: A bidirectional two-sample Mendelian randomization (MR) was conducted, with frailty-related data was collected from UK Biobank and TwinGen and GDM-related data was collected from the FinnGen consortium. We performed univariable and multivariable-adjusted MR with adjustments for body mass index (BMI). Several methodologies of MR were conducted to confirm the robustness of results.
UNASSIGNED: Frailty was significantly associated with elevated risks of GDM (OR, 3.563; 95% CI, 1.737 to 7.309; P< 0.001) and GDM was also significantly associated with elevated risks of frailty ( β , 0.087; 95% CI, 0.040 to 0.133; P< 0.001). There is no evidence demonstrating the existence of horizontal pleiotropy and heterogeneity. This association was robust after adjustments for BMI. The sensitivity analyses with Weighted median, Maximum likelihood, Penalised weighted median, MR Egger and MR PRESSO methods indicated consistent results.
UNASSIGNED: Our study provides evidence of the bidirectional causal association between frailty and GDM from genetic perspectives, signaling that the identification and assessment of frailty should become a standard strategy during the early stages and care of gestational diabetes.

BACKGROUND: Parental history of diabetes is an established risk factor for type 2 diabetes mellitus (T2DM). There is limited data on the association of parental history with the prevalence of T2DM in Sri Lanka. The study aims to examine the prevalence and correlation of parental history and factors such as the onset age, glycaemic control, and self-reported dietary compliance among T2DM patients. With a rising incidence of T2DM in Sri Lanka, understanding the impact of parental history on age at diagnosis and glycemic control can aid in targeted screening and interventions.
METHODS: A cross-sectional study was carried out on 500 T2DM patients attending a diabetes clinic in Galle, the capital of Southern Sri Lanka with a multiethnic population. Convenient sampling strategy was followed in the recruitment process and a questionnaire-based method was used to collect the data. All the collected data was analysed using SPSS V 25.0.
RESULTS: 51.2% had a parental history of T2DM, and those with a positive parental history were diagnosed six years earlier than those with a negative parental history (p < 0.001). A significant correlation between parental history and gestational diabetes mellitus (GDM) was observed (p < 0.001). Patients with a parental history reported better dietary adherence (p < 0.001). Binary logistic regression analysis revealed patients with positive parental history had significantly lower HbA1C (p = 0.003, OR = 0.748).
CONCLUSIONS: T2DM patients with a parental history showed significant association with early diabetes onset, GDM, better glycemic control, and dietary adherence.

OBJECTIVE: To elucidate the clinical and pathological characteristics of gestational diabetes mellitus (GDM) with high and low insulin resistance.
METHODS: In total, 1393 GDM and 1001 non-GDM singleton deliveries were included in this study. Insulin resistance subtypes were classified according to the HOMA2-IR value. Clinical data were analyzed using SPSS 26.0. Placenta samples were collected for pathological analysis.
RESULTS: Maternal age and fasting glucose were identified as independent risk factors for GDM with high insulin resistance (p < 0.01), while fasting glucose was the sole risk factor for GDM with low insulin resistance (p < 0.001). Fetal distress was associated with both of GDM subtypes (both p < 0.01), while anemia, fetal growth restriction, large for gestational age and intrahepatic cholestasis in pregnancy were related to specific GDM insulin resistance subtype. In addition, GDM with high insulin resistance showed an increase of syncytial knots with down-regulation of PI3K/AKT signaling, while GDM with low insulin resistance showed normal syncytial knot counts and up-regulation of PI3K/AKT signaling.
CONCLUSIONS: Our findings provide novel perspectives to the clinical and pathological comprehensions of GDM with high and low insulin resistance, which might facilitate the mechanism study of GDM and its precision pregnancy management.

OBJECTIVE: While there are various health literacy scales that exist, none of health literacy scale suitable for pregnant women with gestational diabetes mellitus (GDM). To address this gap, this study aimed to develop GDM health literacy scale and evaluate its psychometric properties.
METHODS: Based on the Delphi expert consultation, we developed the initial GDM health literacy scale. Item analysis was taken using a sample (n = 299) recruited in China to form formal scale. Additional participants (n = 395) completed survey to assess the internal consistency reliability, test-retest reliability, content validity, construct validity and criterion correlation validity of scale.
RESULTS: The scale performed well in terms of internal consistency reliability, content validity, construct validity and criterion correlation validity. Test-retest reliability indicated that the instrument was effective at measuring health literacy of GDM over time.
CONCLUSIONS: The scale is a reliable and valid measure of six domains of health literacy for GDM.
CONCLUSIONS: The scale can be used to effectively evaluate the level of health literacy of pregnant women with GDM. The information can provide targeted health support for pregnant women with GDM to improve their health literacy and self-management ability.