Gestational Diabetes Mellitus Women Research Articles

Dynamic changes of serum taurine and the association with gestational diabetes mellitus: A nested case-control study.

There is a lack of risk factors that can effectively identify gestational diabetes mellitus (GDM) in early pregnancy. It is unclear whether serum taurine in the first trimester and dynamic changes have different characteristics in GDM women. Whether these features are associated with the occurrence of GDM has not yet been elucidated. The main objective of this study was to observe the dynamic changes of serum taurine during pregnancy and investigate the relationship between serum taurine levels and GDM in the first and second trimesters. This was a nested case-control study in 47 women with GDM and 47 age-matched normoglycemic women. We examined serum taurine at 8-12 weeks' gestation and 24-28 weeks' gestation. The serum taurine of the two groups was compared. Multivariable logistic regression analysis was performed to investigate how serum taurine was associated with GDM. The serum taurine concentration of GDM women was significantly lower than that of normoglycemic women in the first trimester(2.29 vs 3.94 μmol/L, P<0.001). As the pregnancy progressed, serum taurine concentration in normoglycaemic women decreased significantly(3.94 vs 2.47 μmol/L, P<0.001), but not in the GDM group(2.29 vs 2.37 μmol/L, P=0.249), resulting in the disappearance of differences between the two groups(2.47 vs 2.37 μmol/L, P=0.160). After adjustment for pre-pregnancy body mass index(BMI), fasting plasma glucose(FPG), and lipid profiles in the first trimester, the serum taurine concentration in the first trimester was negatively correlated with the risk of GDM(OR=0.017, 95% CI=0.003-0.107, P<0.001). Furthermore, dynamic change of serum taurine showed a significantly positive correlation with the risk of GDM(OR=9.909, 95% CI=3.556-27.610, P<0.001). Low serum taurine concentration in the first trimester was significantly associated with the development of GDM. As the pregnancy progressed, the association between serum taurine and GDM disappeared in the second trimester, which might be related to the inhibition of taurine transporter(TauT) activity by high glucose.

The association between maternal HbA1c and adverse outcomes in gestational diabetes.

The role of HbA1c in women with gestational diabetes mellitus (GDM) is still unclear, particularly in the Asian population. To investigate the association between HbA1c levels and adverse outcomes considering maternal age, pre-pregnancy body mass index (BMI), and gestational weight gain (GWG) in women with GDM. A retrospective study included 2048 women with GDM and singleton live births. Using logistic regression, the associations between HbA1c and adverse pregnancy outcomes were assessed. Compared to women with HbA1c ≤ 5.0%, HbA1c was significantly associated with macrosomia (aOR 2.63,95%CI1.61,4.31), pregnancy-induced hypertension (PIH, aOR 2.56,95%CI1.57,4.19), preterm birth (aOR 1.64,95%CI 1.05,2.55), and primary Cesarean section (primary C-section, aOR1.49,95%CI1.09,2.03) in GDM women with HbA1c ≥5.5% while significantly associated with PIH (aOR 1.91,95%CI1.24,2.94) in women with HbA1c 5.1-5.4%. The associations between HbA1c and adverse outcomes varied with maternal age, pre-pregnancy BMI, and GWG. In women aged ≤29 years, there's significant association between HbA1c and primary C-section when HbA1c was 5.1-5.4% and ≥5.5%. In women aged 29-34 years and HbA1c ≥5.5%, HbA1c was significantly associated with macrosomia. In women aged ≥35 years, there's significant association between HbA1c and preterm birth when HbA1c was 5.1-5.4% and macrosomia and PIH when HbA1c ≥5.5%. In pre-pregnant normal-weight women, HbA1c was significantly associated with macrosomia, preterm birth, primary C-section, and PIH when HbA1c ≥5.5% while HbA1c was significantly associated with PIH when HbA1c was 5.1-5.4% . In pre-pregnant underweight women with HbA1c 5.1-5.4%, HbA1c was significantly associated with primary C-section. HbA1c was significantly associated with macrosomia among women with inadequate GWG or excess GWG and HbA1c≥5.5%. In women with adequate GWG, there's significant association between HbA1c and PIH when HbA1c was 5.1-5.4% and ≥5.5% . Conclusively, HbA1c at the time of diagnosis is significantly associated with macrosomia, preterm birth, PIH, and primary C-section in Chinese women with GDM.

Development and validation of risk prediction models for large for gestational age infants using logistic regression and two machine learning algorithms.

Large for gestational age (LGA) is one of the adverse outcomes during pregnancy that endangers the life and health of mothers and offspring. We aimed to establish prediction models for LGA at late pregnancy. Data were obtained from an established Chinese pregnant women cohort of 1285 pregnant women. LGA was diagnosed as >90th percentile of birth weight distribution of Chinese corresponding to gestational age of the same-sex newborns. Women with gestational diabetes mellitus (GDM) were classified into three subtypes according to the indexes of insulin sensitivity and insulin secretion. Models were established by logistic regression and decision tree/random forest algorithms, and validated by the data. A total of 139 newborns were diagnosed as LGA after birth. The area under the curve (AUC) for the training set is 0.760 (95% confidence interval [CI] 0.706-0.815), and 0.748 (95% CI 0.659-0.837) for the internal validation set of the logistic regression model, which consisted of eight commonly used clinical indicators (including lipid profile) and GDM subtypes. For the prediction models established by the two machine learning algorithms, which included all the variables, the training set and the internal validation set had AUCs of 0.813 (95% CI 0.786-0.839) and 0.779 (95% CI 0.735-0.824) for the decision tree model, and 0.854 (95% CI 0.831-0.877) and 0.808 (95% CI 0.766-0.850) for the random forest model. We established and validated three LGA risk prediction models to screen out the pregnant women with high risk of LGA at the early stage of the third trimester, which showed good prediction power and could guide early prevention strategies.

Lactation duration and lifetime progression to metabolic syndrome in women according to their history of gestational diabetes: a prospective longitudinal community-based cohort study

BackgroundDespite the many signs of progress in pharmacotherapies, metabolic syndrome (MetS) is one of the main public-health burdens worldwide. Our study aimed to compare the effect of breastfeeding (BF) in women with and without gestational diabetes mellitus (GDM) on MetS incidence.MethodsOf females who participated in the Tehran Lipid and glucose study, women who met our inclusion criteria were selected. The Cox proportional hazards regression model, with adjustment of potential confounders, was done to evaluate the relationship between duration of BF and incident of MetS in women with a GDM history compared to non-GDM.ResultsOut of 1176 women, there were 1001 non-GDM and 175 GDM. The median follow-up was 16.3 (11.9, 19.3) years. Results of the adjusted model illustrated that the total BF duration was negatively associated with MetS incidence risk (hazard ratio (HR) 0.98, 95% CI 0.98–0.99) in total participants indicating that per one-month increase of BF duration, the hazard of MetS reduced by 2%. The HR of MetS in Comparison between GDM and non-GDM women demonstrated significantly more reduced MetS incidence with a longer duration of exclusive BF (HR 0.93, 95% CI 0.88–0.98).ConclusionsOur findings illustrated the protective effect of BF, especially exclusive BF, on MetS incidence risk. BF is more effective in reducing the risk of MetS among women with a history of GDM than among women without such a history.

Assisted reproductive technology, risk of gestational diabetes, and perinatal outcomes in singleton pregnancies.

To evaluate the impact of assisted reproductive technology (ART) on the risk of gestational diabetes mellitus (GDM) in single pregnancies. We retrospectively collected clinical and anthropometric data of 219ART- and 256 age- and body mass index (BMI)-matched women with spontaneous conception screened for GDM. The primary outcome was to evaluate GDM prevalence in ART women. There were no differences in age, BMI, and family history of diabetes in the two groups of women. ART-women were more frequently primiparous, whereas the prevalence of previous GDM was higher in SC-women. The prevalence of GDM in thewhole cohort was 36.1% and was higher in ART-women (52.3% vs. 23.4%; p<0.0001). In the whole cohort, on multivariate analysis, family history of diabetes (OR 1.67; 95% CI: 1.03-2.69), previous GDM (OR 7.05; 95% CI: 2.92-17.04), pre-pregnancy obesity (OR 2.72; 95% CI 1.21-6.13), and ART (OR 4.14; 95% CI 2.65-6.48) were independent risk factors for GDM. Among ART-women, age over 40years was associated with GDM. Preterm delivery was more common in ART-women; gestational week at delivery, birth weight, ponderal index, and Apgar score were lower in ART-women than in SC-women, both in the whole cohort and in GDM women. Among women undergoing ART treatment, at least one in two develops GDM. ART appears to be an independent risk factor for GDM in single pregnancies, particularly above the age of 40. ART treatment seems to be associated with an increased rate of preterm delivery and lower neonatal birth weight and Apgar score, especially in GDM women. The study was not registered as it is an observational retrospective evaluation.

Circulating lncRNAs NONHSAT054669.2 and ENST00000525337 can be used as early biomarkers of gestational diabetes mellitus.

Early diagnosis can help prevent and reduce the adverse effects of gestational diabetes mellitus (GDM). This study intended to investigate key circulating long non-coding RNAs (lncRNAs) as novel biomarkers for diagnosis of GDM at the early stages. First, lncRNA microarray analysis was conducted for plasma samples of GDM women before delivery and 48 h after delivery. The expression of differentially expressed lncRNAs in clinical samples at different trimesters was randomly validated by quantitative polymerase chain reaction (PCR). Moreover, the correlation between lncRNA expression and oral glucose tolerance test (OGTT) level in GDM women during the second trimester was analyzed, followed by evaluating the diagnostic value of key lncRNAs during different trimesters using receiver operating characteristic (ROC) curve. Higher NONHSAT054669.2 expression and lower ENST00000525337 expression were revealed in GDM women before delivery relative to 48 h after delivery (P < 0.05). The expression of NONHSAT054669.2 and ENST00000525337 in GDM women during the first and second trimesters was dramatically higher than pregnant women (P < 0.05) with normal glucose tolerance (NGT). During the second trimester, NONHSAT054669.2 expression was positively related to OGTT level at 1 h (r = 0.41455, P < 0.001). Furthermore, ROC curve analysis revealed that ENST00000525337 alone, NONHSAT054669.2 alone, and their combination had high diagnostic value for GDM during the first (area under the ROC curve (AUC) = 0.979, 0.956, and 0.984, respectively) and second (AUC = 0.829, 0.809, and 0.838, respectively) trimesters (all P < 0.001). The plasma level of NONHSAT054669.2 and ENST00000525337 may be applied as novel diagnostic biomarkers for early diagnosis of GDM.

Correlation between high serum ferritin levels and adverse pregnancy outcomes in women with gestational diabetes mellitus

AimsTo explore the association between higher serum ferritin (SF) levels in mid-pregnancy and adverse pregnancy outcomes in gestational diabetes mellitus (GDM) pregnancies, then develop a predictive cut-off value that might effectively predict the risk of adverse pregnancy outcomes in future clinical. MethodsThe study involved 201 pregnant women with GDM. 201 gestational age and parity matched normoglycemic pregnant women were taken as control group. The differences in clinical data were compared by the Mann-Whitney U test and Chi-square tests. Multivariate logistic regression was used to determine the relationship between SF and GDM-relate adverse pregnancy outcomes. The predicted value of SF level was determined through receiver operating characteristic (ROC) curve analysis. ResultsSF level was significantly higher in women with GDM [16.10 (27.30–9.50) (ng/mL) vs. 12.04 (18.11–7.06) (ng/mL), (p < 0.001)]. Meanwhile, higher levels of SF were also discovered in GDM women with preeclampsia and neonatal hypoglycemia and respiratory distress (all p < 0.05). In the adjusted model, a positive association was shown between SF and preeclampsia [adjusted odds ratio (AOR) = 1.032, 95%CI = 1.004–1.060, p = 0.024], neonatal hypoglycemia [adjusted odds ratio (AOR) = 1.047, 95%CI = 1.022–1.072, p < 0.001] and respiratory distress outcomes (AOR = 1.034, 95%CI = 1.011–1.058, p = 0.004) respectively. The area under ROC curve (AUC) for prediction of preeclampsia by SF combined with serum calcium, age, pre-pregnancy BMI and gestational weight gain (GWG) was 0.658 (95% CI = 50.8–80.8%, p = 0.028) with the cut-off value of 24.45 ng/mL, and the sensitivity and specificity were 58.8.0% and 64.3%, respectively. To predict neonatal hypoglycemia, the clinical point value of SF was 27.43 ng/mL with AUC was 0.800, sensitivity and specificity was 90.5% and 68.0% respectively. Predicting neonatal respiratory distress, the AUC value of the SF level was 0.730, with a cut-off value of 27.37 ng/mL and the sensitivity and specificity were 52.0% and 86.5%, respectively. ConclusionsHigher level of SF in mid-pregnancy was significantly associated with the risk of GDM and GDM-relate adverse pregnancy outcomes. Moreover, SF levels have moderate clinical value in predicting the adverse outcomes of maternal preeclampsia, neonatal hypoglycemia and respiratory distress.

Differential Expression of FXR and Genes Involved in Inflammation and lipid Metabolism Indicate Adipose Tissue Dysfunction in Gestational Diabetes

Gestational diabetes mellitus (GDM) is the most frequent metabolic alteration in pregnancy. Several abnormalities in visceral adipose tissue (VAT) have been described as part of its pathophysiology including hypertrophy, inflammation and altered lipid metabolism. Farnesoid X receptor (FXR) is involved in adipocyte physiology and inflammation, so its expression may correlate with the expression of tumor necrosis factor-alpha (TNF-α), interleukin-10 (IL-10), lipoprotein lipase (LPL), and two fatty acid transporters (SLC27A2, and SLC27A4). To compare the FXR, LPL, SLC27A2, SLC27A4, TNF-α, and IL-10 mRNA expression in VAT between women with GDM and healthy pregnant (HP) women. Secondarily, to evaluate the potential correlation between these expression levels. Cross-sectional study of 50 GDM and 50 HP women. Conventional biochemical tests were performed and relative mRNA expression in VAT was measured by RT-qPCR. Gene expression levels of FXR and IL-10 were lower, whereas those of LPL, as well as the TNF-α/IL-10 ratio, were higher in women with GDM compared to HP. Pre-pregnancy BMI was the main significant independent variable for FXR levels in VAT from women with GDM. In all women, LPL expression levels correlated positively with those of SLC27A2. Only in women with GDM, IL-10 expression levels correlated negatively with those of SLC27A2, and SLC27A4. GDM is associated with decreased expression of FXR and IL-10 and increased expression of LPL, as well as a higher TNF/IL-10 ratio in VAT. These results suggest increased lipid storage and pro-inflammatory state indicating VAT dysfunction in this metabolic disorder.

Exploring psychosocial adaptation to pregnancy in women with gestational diabetes

Background: Gestational diabetes mellitus (GDM) is one of the most common medical complications of pregnancy. Diagnosis of GDM, that could be unexpected, may cause women to feel negative emotions such as fear, guilt, sadness, and loss of control and experience difficulties adapting to pregnancy. Objective: This study aimed to explore psychosocial adaptation to pregnancy in women with GDM. Methods: This observational cross-sectional study was conducted with women with GDM and healthy pregnant women who applied to the pregnancy and perinatology outpatient clinic of a university hospital. Groups were matched according to age, education level, and gestational week. The Prenatal Self-Evaluation Questionnaire (PSEQ) was used to collect data. Simple linear regression was performed to determine factors influenced psychosocial adaptation to pregnancy using average scores from the PSEQ. Results: Regression analysis indicated, GDM status (beta = −48.8, p ≤ 0.001) and smoking status during pregnancy (beta = 11.0, p = 0.032) influenced the total score of the PSEQ. Conclusions: Nurses are encouraged to develop a multifaceted nursing care model that considers the physical and psychosocial problems and to provide care to increase the psychosocial adaptation of women with GDM to pregnancy.

Association between serum interleukin-6, leptin and insulin in gestational diabetes mellitus - a cross- sectional study.

Gestational diabetes mellitus (GDM) is a state of leptin resistance which develops a vicious cycle of hyperinsulinemia and hyperleptinemia leading to aggravation of an inflammatory situation. This study was done to find out the association between IL-6, leptin and insulin in gestational diabetes among North Indian women. This cross-sectional study included 100 GDM, 100 non-GDM and 50 non-pregnant women. DIPSI (Diabetes in Pregnancy Study Group India) criteria was used for screening GDM among pregnant women. GDM and non-GDM pregnant women were further categorized into three groups according to the trimester of pregnancy. Serum IL-6, leptin and insulin were measured in all the enrolled women. Serum IL-6 levels were significantly higher among GDM women as compared to non-GDM and non-pregnant women. Although the mean serum leptin and insulin levels were higher in GDM, but the difference was not statistically significant. When GDM and non-GDM women were categorized into three trimester, serum leptin levels were found to be significantly higher in 3rd trimester (p < 0.002) and IL-6 in 1st trimester (p < 0.017) among GDM women. No correlation was found between serum IL-6, leptin and insulin in GDM. Absence of any significant association between leptin and IL-6 signifies that leptin may not be associated with inflammation in gestational diabetes. However, IL-6 may serve as an early marker for screening glucose intolerance during pregnancy. The online version contains supplementary material available at 10.1007/s40200-023-01188-3.

Self-care educational guide for mothers with gestational diabetes mellitus: A systematic review on identifying self-care domains, approaches, and their effectiveness.

Gestational Diabetes Mellitus (GDM) is a common form of poor carbohydrate intolerance, prevalent among pregnant women and associated with unhealthy lifestyle behaviors. Given the dearth of information on self-empowerment among mothers with GDM, a self-care health education package needs to be developed to prevent related complications. This review aimed to identify self-care approaches, domains, and their effectiveness for a proper self-care educational guide package for women with GDM. A systematic review using electronic literature databases published between January 2016 and December 2022 was conducted. Web of Science, Scopus, and Ovid databases were used. This review utilized the PICO (Population, Intervention, Comparison, and Outcomes) framework to screen the retrieved articles for eligibility in which mothers with GDM, educational materials, standard practice or intervention, and effectiveness were considered the PICO, respectively. The CIPP (Context, Input, Process, Product) model served as a framework for adopting the education development model. Mixed methods appraisal tool was used for quality assessment. Data extraction and synthesis without meta-analysis were presented as evidence tables. A total of 19 articles on GDM were included in the final analysis (16 Intervention studies, two qualitative studies, and one mixed-methods study). Four broad domains emerged from the analysis: 1) information or knowledge of GDM, 2) monitoring of blood glucose levels, 3) practice of healthy lifestyles, and 4) other non-specific activities. The majority of the articles employed a face-to-face approach in executing the educational group sessions, and most studies disclosed their positive effects on GDM management. Other methods of evaluating intervention effectiveness were described as improved self-care behavior, increased satisfaction score, enhanced self-efficacy, good glucose control, and better pregnancy outcome. Knowledge or information about GDM, healthy diet, and exercise or physical activity was found to be the most applied domains of intervention. Framework domains based on the present review can be used in the future development of any interventional program for GDM women in enhancing health information reaching the targeted group in promoting self-efficacy. CRD42021229610.

Maternal and Perinatal Outcomes in Pregnancy Complicated with Pre- and Gestational Diabetes Mellitus

Objective: To analyze maternal and perinatal outcomes in pregnancies complicated by pre-gestational and gestational diabetes.&#x0D; Methods: This is an analytical observational study with a cross-sectional design. We examined 57 women, 39 of pre-gestational diabetes mellitus (PGDM) women, and 19 had gestational diabetes mellitus (GDM). The data were analyzed using the chi-square and Fisher’s exact test.&#x0D; Results: There were no maternal deaths in either group. Pre-eclampsia was significantly higher in the PGDM group. Perinatal deaths and asphyxia were the same in both groups. Prematurity was higher in the PGDM group. Neonates of GDM women appeared to be heavier. Intrauterine fetal death (IUFD) rates were higher in the GDM group. Congenital anomalies were found in the GDM group.&#x0D; Conclusion: There were differences in maternal and perinatal outcomes in both groups, namely pre-eclampsia and congenital anomaly.

Prospecting of exosomal-miRNA signatures as prognostic marker for gestational diabetes mellitus and other adverse pregnancy outcomes.

Exosomal microRNA (ExomiRs) serves as potential cargo molecules responsible for post-translation of gene expression and intracellular communication playing a vital role in acting as clinically relevant prognostic biomarkers for identifying pregnancy-associated complications in patients. ExomiRs are associated with Gestational Diabetes Mellitus (GDM) as potential targets for understanding the pathophysiology of beta-cell dysfunction. ExomiRs (ExomiR 122, ExomiR 16-5p, ExomiR 215-5p, ExomiR 450b-3p, ExomiR 122-5p) aid to act as biomarkers and regulate the progression of diabetes and its related complication. These ExomiRshave been reported to interfere with the regulation of various genes such as ZEB2, IRS1, IRS2, GLUT1, GLUT4, etc. and inhibition of several pathways like PI3K/AKT, Wnt, and mTOR signaling pathways leading to the modulation in the development of GDM affecting the clinical and pathological features of women. These ExomiRs have also been associated with other pregnancy-associated complications, including preeclampsia, hypothyroidism, pregnancy loss, and ectopic pregnancies. On the other hand, overexpression of certain ExomiRs such as Exomir-515-5p, ExomiR-221, and ExomiR-96 serve a regulatory role in overcoming insulin resistance. Taken together, the current review focuses on the prospective capabilities of ExomiRs for diagnosis and clinical prognosis of GDM women with respect to pregnancy outcomes.

Rate of Spontaneous Preterm Delivery Between Pregnant Women With and Without Gestational Diabetes.

Objective The aim of this study is to compare the rate of spontaneous preterm delivery between gestational diabetes mellitus (GDM) and normal pregnancy. Pregnancy outcomes and associated risk factors for spontaneous preterm delivery were evaluated. Methods A retrospective cohort study was conducted on 120 GDM and 480 normal pregnant women. All women received GDM screening with 50-g glucose challenge test and 100-g oral glucose tolerance test at the first visit and repeated at 24-28 weeks. Data were retrieved from medical records and included baseline and obstetric characteristics, preterm risks, GDM risks, and pregnancy outcomes. Spontaneous preterm birth was defined as delivery before 37 completed weeks of gestation that had been preceded by spontaneous labor. Results GDM women were more likely to be ≥30 years (p=0.032) and have previous GDM (p=0.013). Incidence of overall preterm delivery was significantly higher in GDM women (17.5% vs. 8.5%, p=0.004), as well as the incidence of spontaneous preterm delivery (15.8% vs. 7.1%, p=0.004). GDM women had less gestational weight gain (p<0.001) and were less likely to have excessive weight gain (p=0.002). GDM women were more likely to deliver large for gestational age (LGA) (p=0.02) and macrosomic infants (p=0.027). Neonatal hypoglycemia was significantly more common among GDM women (p=0.013). Multivariate analysis showed that previous preterm birth and GDM independently increased the risk of spontaneous preterm delivery (adjusted OR: 2.56, 95% CI: 1.13-5.79, p=0.024, and adjusted OR: 2.15, 95% CI: 1.2-3.84, p = 0.010, respectively). Conclusion GDM and previous preterm birth significantly increased the risk of spontaneous preterm delivery. GDM also increased the risk of LGA, macrosomia, and neonatal hypoglycemia.

The genetic polymorphisms and levels of adipokines and adipocytokines that influence the risk of developing gestational diabetes mellitus in Thai pregnant women

IntroductionAberrant immune and inflammatory response is thought to be involved in the pathogenesis of gestational diabetes mellitus (GDM). ObjectiveTo investigate the genetic polymorphisms and levels of adipokines/adipocytokines that influence the risk of developing GDM in Thai women. Research design & methodsThis case-control recruited 400 pregnant Thai women. A total of 12 gene polymorphisms at ADIPOQ, adipsin, lipocalin-2, PAI-1, resistin, IL-1β, IL-4, IL-17A, TGF-β, IL-10, IL-6, and TNF-α were analyzed by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) assay and RNase H2 enzyme-based amplification (rhAmp) SNP assay. Serum levels of adipokines/adipocytokines were evaluated using Luminex assays. ResultsMean age, weight before and during pregnancy, body mass index before and during pregnancy, blood pressure, gestational age at blood collection, and median 50 g glucose challenge test were significantly higher in GDM women than control. Significantly lower adiponectin and higher IL-4 levels were found in GDM compared to controls (p = 0.001 and p = 0.03, respectively). The genotype frequencies of IL-17A (rs3819025) were significantly different between GDM and controls (p = 0.01). Using additive models, IL-17A (rs3819025) and.TNF-α (rs1800629) were found to be independently associated with increased risk of GDM (odds ratio [OR]: 2.867; 95 % confidence interval [CI]: 1.171–7.017; p = 0.021; and OR: 12.163; 95 %CI: 1.368–108.153; p = 0.025, respectively). In GDM with IL-17A (rs3819025), there was a significant negative correlation with lipocalin-2 and PAI-1 levels (p = 0.038 and p = 0.004, respectively). ConclusionThe results of this study highlight the need for genetic testing to predict/prevent GDM, and the importance of evaluating adipokine/adipocytokine levels in Thai GDM women.

Longer physical exercise duration prevents abnormal fasting plasma glucose occurrences in the third trimester: Findings from a cohort of women with gestational diabetes mellitus in Shanghai.

This study aims to investigate the relationship between daily physical exercise (PE) duration and frequency of abnormal plasma glucose (PG) times both during fasting and 2 h after a standard diet in women with gestational diabetes mellitus (GDM). We established a cohort involving 878 GDM women. GDM was confirmed by a diagnostic 75-g oral glucose tolerance test. Information was extracted from the delivery records and antenatal checkup forms. Physical exercise information was collected through a questionnaire. Over 80% of GDM women were under 35 years old. An abnormal fasting PG with ≥1 occurrence presented in 742/878 (84.51%), and the abnormal PG 2 h after standard diet with ≥1 occurrence presented in 634/878 (72.21%). Compared to GDM women with ≥4 occurrences of abnormal fasting PG, GDM women with 0 occurrences (odds ratio (OR) = 2.56), one occurrence (OR = 1.94), two occurrences (OR = 2.29), and three occurrences (OR = 2.16) had a higher proportion of PE duration being in the 45-60-min/day group than those in the <45-min/day group, and GDM women also had a higher proportion of PE during being in the 61-90- and >90-min/day group than those in the <45-min/day group. However, the duration of PE was not associated to the number of abnormal PG occurrences 2-h after the standard diet. Moderate-intensity PE duration in GDM women was negatively associated with the number of abnormal fasting PG occurrences but not with the number of PG occurrences 2 h after the standard diet.

Study of altered gut microbial dynamics and their association with gestational diabetes mellitus

The human gastrointestinal system is home to billions of different microbial species that coexist peacefully with the host. Age, diet, and environment affect gut microbial structure and diversity. Bacteroidetes and Firmicutes are the main gut microbial groups in humans. Human physiology is greatly affected by gut microbial metabolism and host–microbe interactions. Gestational diabetes mellitus (GDM) women have a different gut microbial makeup. However, whether these microbial changes in the stomach may be detected before the diagnosis of GDM remains unknown. This study aims to study the dynamics of gut microbe in healthy and GDM women and analyze the potential biomarkers for early detection of GDM in pregnant women. In this study, gut microbial variations have been characterized and their relationship is evaluated with GDM development. A large multi-taxon microbial shift between GDM and normal cases was evident, indicating that few microbial disruptions from early to mid-pregnancy were related to the later development of GDM. Results of linear discriminant analysis (LDA) show the variable relative abundance of 13 taxonomic groups (at the family level) between the GDM and normal groups. Moreover, 8 taxonomic groups (at the family level) were found to be present in the GDM group only. The results contribute to the gut microbiota’s potential relevance as a biomarker for the early detection of GDM.

Prevalence of gestational diabetes mellitus and associated factors among women receiving antenatal care at a tertiary hospital in South-Western Uganda.

gestational diabetes mellitus is one of the major causes of morbidity and mortality among pregnant women worldwide. We aimed to determine the prevalence and factors associated with gestational diabetes mellitus among women attending the antenatal care clinic at a tertiary care hospital in South-Western Uganda. this was a hospital-based cross-sectional study conducted among women at ≥24 weeks of amenorrhea attending the antenatal care clinic at Mbarara Regional Referral Hospital between December 2020 and March 2021. We screened all women for gestational diabetes mellitus using the World Health Organization 2013 diagnostic criteria. We obtained socio-demographic, medical, and obstetric data. Multivariable logistic regression was used to determine the factors independently associated with gestational diabetes mellitus. we enrolled 343 pregnant women with a mean age of 27.3 (SD ±12.3) years. Of the 343 participants, 35 (10.2%) had gestational diabetes mellitus (GDM) (95% C.I: 7.4%-13.9%) and 7 (2%) had diabetes in pregnancy. The factors significantly associated with gestational diabetes mellitus were; previous history of foetal macrosomia in any of the previous pregnancies (aOR: 5.53, 95% C.I: 1.29-23.65) and family history of diabetes mellitus in the first-degree relatives (aOR: 4.45, 95% C.I:1.48-13.34). one in every ten pregnant women attending the antenatal care clinic at Mbarara Regional Referral Hospital is likely to have gestational diabetes mellitus in pregnancy. There is a need to strengthen routine testing for gestational diabetes mellitus among women attending the antenatal care clinic, especially pregnant women with a prior history of foetal macrosomia and a family history of diabetes mellitus in first-degree relatives.

Assessment of eating habits, psycho-emotional state, quality of life and risk factors for the development of gestational diabetes mellitus in women with threatened late miscarriage

Assessment of eating habits, psycho-emotional state, quality of life and risk factors for the development of gestational diabetes mellitus in women with threatened late miscarriage

Role of melatonin receptor 1B gene polymorphism and its effect on the regulation of glucose transport in gestational diabetes mellitus.

Melatonin receptor 1B (MT2, encoded by the MTNR1B gene), a high-affinity receptor for melatonin, is associated with glucose homeostasis including glucose uptake and transport. The rs10830963 variant in the MTNR1B gene is linked to glucose metabolism disorders including gestational diabetes mellitus (GDM); however, the relationship between MT2-mediated melatonin signaling and a high birth weight of GDM infants from maternal glucose abnormality remains poorly understood. This article aims to investigate the relationship between rs10830963 variants and GDM development, as well as the effects of MT2 receptor on glucose uptake and transport in trophoblasts. TaqMan-MGB (minor groove binder) probe quantitative real-time polymerase chain reaction (qPCR) assays were used for rs10930963 genotyping. MT2 expression in the placenta of GDM and normal pregnant women was detected by immunofluorescence, western blot, and qPCR. The relationship between MT2 and glucose transporters (GLUTs) or peroxisome proliferator-activated receptor γ (PPARγ) was established by western blot, and glucose consumption of trophoblasts was measured by a glucose assay kit. The results showed that the genotype and allele frequencies of rs10830963 were significantly different between GDM and normal pregnant women (P<0.05). The fasting, 1-h and 2-h plasma glucose levels of G-allele carriers were significantly higher than those of C-allele carriers (P<0.05). Besides, the protein and messenger RNA (mRNA) expression of MT2 in the placenta of GDM was significantly higher than that of normal pregnant women (P<0.05). Melatonin could stimulate glucose uptake and GLUT4 and PPARγ protein expression in trophoblasts, which could be attenuated by MT2 receptor knockdown. In conclusion, the rs10830963 variant was associated with an increased risk of GDM. The MT2 receptor is essential for melatonin to raise glucose uptake and transport, which may be mediated by PPARγ.