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.

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: To comprehensively assess the dose-response association between dietary glycemic index (GI) and glycemic load (GL) and gestational diabetes mellitus (GDM) risk.
UNASSIGNED: PubMed, Embase, Cochrane Library, Web of Science, CNKI, WanFang, and VIP databases were searched up to May 29, 2024. Studies with at least three exposure categories were included. Dose-response analysis was also performed when covariates were adjusted in the included studies.
UNASSIGNED: Thirteen studies involving 39,720 pregnant women were included. A linear relationship was found between GI and the risk of GDM (χ2 = 4.77, Pnon-linearity = .0923). However, association was not significant (χ2 = 0.06, p = .8000). For every unit increase in GI (range 0-30), GDM risk increased by 0.29%. After adjusting for covariates, the linear relationship persisted (χ2 = 4.95, Pnon-linearity = .084) with no significant association (χ2 = 0.08, p = .7775). For GL, a linear relationship was also found (χ2 = 4.17, Pnon-linearity =.1245), but GL was not significantly associated with GDM risk (χ2 = 2.63, p = .1049). The risk of GDM increased by 0.63% per unit increase in GL. After covariate adjustment, a significant association was observed (χ2 = 6.28, p = .0122).
UNASSIGNED: No significant association between GI and GDM risk was found. After adjusting for covariates, GL shows a significant association with GDM risk. Our findings emphasize the importance of considering dietary GL in managing the risk of GDM. Future research should continue to explore these relationships with standardized diagnostic criteria and robust adjustment for potential confounders.

OBJECTIVE: To systematically investigate the association between the dietary inflammatory index (DII) and gestational diabetes mellitus (GDM), with a focus on the role of BMI in this relationship.
METHODS: A comprehensive search was conducted in PubMed, Embase, Web of Science, The Cochrane Library, Medline, CINAHL Complete, Chinese Periodical Full-text Database, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, and China Wanfang Database for rele-vant observational studies published up to August 2023. The quality of the included studies was assessed using the Newcastle-Ottawa Scale. The pooled effect size was calculated using a random-effects model. Sub-group and meta-regression analyses were performed to explore potential sources of heterogeneity.
RESULTS: The study included 54,058 participants from 10 studies. Pregnant women with a higher DII, indicating a pro-inflammatory diet, had a significantly increased risk of GDM compared to those with a lower DII, indicating an anti-inflammatory diet (pooled OR: 1.17, 95% CI: 1.01-1.36; I²=70%, p <0.001). Subgroup analyses revealed a stronger association in normal weight stratification (OR: 1.25, 95%CI: 1.04-1.51), case-control studies (OR: 1.45, 95%CI: 1.03-2.05), Asia (OR: 1.26, 95%CI: 1.10-1.43), Europe (OR: 1.27, 95%CI: 1.09-1.48), 3-day dietary record as a dietary assessment tool (OR: 1.30, 95%CI: 1.16-1.46), physical activity adjustment (OR: 1.28, 95%CI: 1.13-1.46), and energy intake adjustment (OR: 1.33, 95%CI: 1.19-1.48). Meta-regression analysis confirmed that geographical region significantly influenced heterogeneity between studies (p <0.05).
CONCLUSIONS: An elevated DII is independently linked to a higher risk of GDM, especially in women of normal weight.

UNASSIGNED: Although several randomized clinical trials have tested the effect of prenatal dietary supplements on plasma glucose and lipid levels in non-pharmacologically managed gestational diabetes mellitus patients (GDM), a rigorous meta-analytic compendium lacks in the context. Therefore, this study aims to address this evidence gap.
UNASSIGNED: Eligible trials retrieved from searches in the PubMed, Embase, and Scopus databases were appraised using the Revised Cochrane risk-of-bias tool for randomized trials (RoB 2). The weighted mean differences (WMD) between dietary supplements and placebo were estimated using random-effect meta-analysis models for plasma glycemic and lipid markers. Meta-regression analysis ensued for effect modifier identification. The statistical significance estimation happened at p < 0.05 (95% confidence interval).
UNASSIGNED: This review included 19 trials (mostly Iranian and of low risk of bias primarily) of > 8000 GDM patients. Meta-analysis showed favorable effects of dietary supplementation on fasting plasma glucose (WMD: -5.42 mg/dL, p < 0.001), homeostasis model assessment indexes- insulin resistance (HOMA-IR; WMD: -1.02, p < 0.001), quantitative insulin sensitivity check index (WMD: 0.01, p < 0.001), total cholesterol (TC; WMD: -7.70 mg/dL, p = 0.006), triglycerides (WMD: -10.23 mg/dL, p = 0.0083), TC/high-density lipoprotein (WMD: -0.31 mg/dL, p < 0.001), low-density lipoprotein (WMD: -5.79 mg/dL; p < 0.001) and very-low-density lipoprotein (WMD: -5.67 mg/dL, p < 0.001) levels. However, the HOMA- ß-cell function didn\'t increase (WMD: -17.91, p < 0.001). Baseline maternal age (ß = 0.28, p = 0.014) and GDM diagnostic criteria (ß = 0.90, p = 0.012) were effect moderators of HOMA-IR and body mass index (BMI) (ß = 6.07, p = 0.022) and supplement type (solo versus combined) (ß = 14.99, p = 0.006) were effect moderators of triglyceride levels.
UNASSIGNED: Altogether, antenatal dietary supplements achieved control over plasma glycemic and lipid profiles in non-pharmacologically treated GDM patients. Maternal age and GDM diagnostic criteria moderated HOMA-IR levels. BMI and supplement-type moderated triglyceride levels.
UNASSIGNED: The online version contains supplementary material available at 10.1007/s40200-023-01369-0.

UNASSIGNED: The objective of this scoping review was to investigate the effectiveness and limitations of risk prediction models for postpartum glucose intolerance in women with gestational diabetes mellitus (GDM). The aim was to provide valuable insights for healthcare professionals in the development of robust risk prediction models.
UNASSIGNED: A comprehensive literature search was conducted across multiple databases, including PubMed, EBSCO, Web of Science Core Collection, Ovid Full-Text Medical Journal Database, ProQuest, Elsevier ClinicalKey, China National Knowledge Infrastructure, China Biology Medicine, and WanFang Database, spanning from January 1990 to July 2023. To assess the quality of the included models, the Predictive Model Risk of Bias Assessment Tool (PROBAST) was employed.
UNASSIGNED: Fourteen relevant studies were identified and included in the final review, all focusing on model development. The discrimination ability of the included models ranged from 0.725 to 0.940, indicating satisfactory prediction accuracy. However, a notable limitation was that nine of these models (64.3%) did not provide clear guidelines on the selection of potential predictors. Furthermore, only six models (42.86%) underwent internal validation, with none undergoing external validation. A high risk of bias was observed across the included models. Logistic regression, Cox regression, and machine learning were the primary methods employed in the construction of these models.
UNASSIGNED: The risk prediction models included in this review demonstrated favorable prediction accuracy. However, due to variations in construction methodologies, direct comparison of their performance is challenging. These models exhibited certain shortcomings, such as inadequate handling of missing data and a lack of internal and external validation, resulting in a high risk of bias. Therefore, it is recommended that these models be updated and externally validated. The development of prospective, multi-center studies is encouraged to construct predictive models with low risk of bias and high clinical applicability, ultimately guiding evidence-based clinical practice.
UNASSIGNED: The online version contains supplementary material available at 10.1007/s40200-023-01330-1.

BACKGROUND: Nowadays, pregnant women require more individualized attention in their assistance process during pregnancy. One of the aspects that requires the most focus is the suitability of carrying out physical activity. The objective of this meta-review is to find out the effects of physical activity during pregnancy on the incidence of GDM compared to women who do not perform physical activity.
METHODS: A search was conducted in Cochrane, CSIC, Ebscohost, Proquest, Pubmed, Scielo, and Scopus. The search focused on systematic reviews and meta-analyses published in the last five years. The AMSTAR-2 scale was used as a quality assessment tool for the final sample.
RESULTS: A total of 18 systematic reviews and meta-analyses were included. Sixteen of them found out that physical activity during pregnancy has preventive effects for GDM compared with women who lacked physical activity. Among the studies, we found a reduction in the risk of GDM of between 24% and 38% and odds ratios ranging between 0.39 and 0.83 calculated for a 95% CI. Only two studies did not find statistically significant effects. Other variables such as type and duration of physical activity, overweight and obesity, gestational age, etc., were also considered.
CONCLUSIONS: Physical activity prevents the incidence of GDM. The main characteristics that enhance this preventive effect are starting at the initial stages of pregnancy and maintaining during the whole pregnancy as well as combining strength and aerobic exercise at a low to moderate intensity.

UNASSIGNED: Gestational diabetes mellitus (GDM) is a form of gestational diabetes mellitus characterized by insulin resistance and abnormal function of pancreatic beta cells. In recent years, genomic association studies have revealed risk and susceptibility genes associated with genetic susceptibility to GDM. However, genetic predisposition cannot explain the rising global incidence of GDM, which may be related to the increased influence of environmental factors, especially the gut microbiome. Studies have shown that gut microbiota is closely related to the occurrence and development of GDM. This paper reviews the relationship between gut microbiota and the pathological mechanism of GDM, in order to better understand the role of gut microbiota in GDM, and to provide a theoretical basis for clinical application of gut microbiota in the treatment of related diseases.
UNASSIGNED: The current research results on the interaction between GDM and gut microbiota were collected and analyzed through literature review. Keywords such as \"GDM\", \"gut microbiota\" and \"insulin resistance\" were used for literature search, and the methodology, findings and potential impact on the pathophysiology of GDM were systematically evaluated.
UNASSIGNED: It was found that the composition and diversity of gut microbiota were significantly associated with the occurrence and development of GDM. Specifically, the abundance of certain gut bacteria is associated with an increased risk of GDM, while other changes in the microbiome may be associated with improved insulin sensitivity. In addition, alterations in the gut microbiota may affect blood glucose control through a variety of mechanisms, including the production of short-chain fatty acids, activation of inflammatory pathways, and metabolism of the B vitamin group.
UNASSIGNED: The results of this paper highlight the importance of gut microbiota in the pathogenesis of GDM. The regulation of the gut microbiota may provide new directions for the treatment of GDM, including improving insulin sensitivity and blood sugar control through the use of probiotics and prebiotics. However, more research is needed to confirm the generality and exact mechanisms of these findings and to explore potential clinical applications of the gut microbiota in the management of gestational diabetes. In addition, future studies should consider the interaction between environmental and genetic factors and how together they affect the risk of GDM.

BACKGROUND: The implication of intermediately elevated fasting plasma glucose (FPG) in the first trimester of pregnancy is uncertain.
OBJECTIVE: The primary outcome of the meta-analysis was to analyze if intermediately elevated first-trimester FPG could predict development of GDM at 24-28 weeks. The secondary outcomes were to determine if the commonly used FPG cut-offs 5.1 mmol/L (92 mg/dL), 5.6 mmol/L (100 mg/dL), and 6.1 mmol/L (110 mg/dL) correlated with adverse pregnancy events.
METHODS: Databases were searched for articles published from 2010 onwards for studies examining the relationship between first-trimester FPG and adverse fetomaternal outcomes.
METHODS: A total of sixteen studies involving 115,899 pregnancies satisfied the inclusion criteria.
METHODS: Women who developed GDM had a significantly higher first-trimester FPG than those who did not [MD 0.29 mmoL/l (5 mg/dL); 95 % CI: 0.21-0.38; P < 0.00001]. First-trimester FPG ≥5.1 mmol/L (92 mg/dL) predicted the development of GDM at 24-28 weeks [RR 3.93 (95 % CI: 2.67-5.77); P < 0.0000], pre-eclampsia [RR 1.55 (95%CI:1.14-2.12); P = 0.006], gestational hypertension [RR1.47 (95%CI:1.20-1.79); P = 0.0001], large-for-gestational-age (LGA) [RR 1.32 (95%CI:1.13-1.54); P = 0.0004], and macrosomia [RR1.29 (95%CI:1.15-1.44); P < 0.001]. However, at the above threshold, the rates of preterm delivery, lower-segment cesarean section (LSCS), small-for gestational age (SGA), and neonatal hypoglycemia were not significantly higher. First-trimester FPG ≥5.6 mmol/L (100 mg/dL) correlated with occurrence of macrosomia [RR1.47 (95 % CI:1.22-1.79); P < 0.0001], LGA [RR 1.43 (95%CI:1.24-1.65); P < 0.00001], and preterm delivery [RR1.51 (95%CI:1.15-1.98); P = 0.003], but not SGA and LSCS.
CONCLUSIONS: Only one study reported outcomes at first-trimester FPG of 6.1 mmol/L (110 mg/dL), and hence was not analyzed.
CONCLUSIONS: The risk of development of GDM at 24-28 weeks increased linearly with higher first-trimester FPG. First trimester FPG cut-offs of 5.1 mmol/L (92 mg/dL) and 5.6 mmol/L (100 mg/dL) predicted several adverse pregnancy outcomes.