Occurrence Of Gestational Diabetes Mellitus Research Articles

Gestational Diabetes Mellitus Changes Human Colostrum Immune Composition.

Breast milk is considered a complete food for babies. Up to 7 days postpartum, it is known as colostrum, rich in immunological compounds, responsible for providing nutrition and ensuring immune protection. However, some maternal factors, such as gestational diabetes mellitus (GDM), can change the concentration of bioactive compounds present in the colostrum and may affect the development of the newborn’s immune system. The effect of GDM on colostrum cytokine, chemokine, and growth factors is not well described. Thus, the present study evaluated whether the occurrence of GDM changes the concentration of biomarkers in the colostrum. A cross-sectional study was carried out on postpartum women who had healthy pregnancies and women who had been diagnosed with GDM. A sample of colostrum was collected for Luminex analysis. Our results showed that GDM mothers had higher secretion of cytokines and chemokines in the colostrum, with a higher concentration of IFN-g, IL-6, and IL-15, and a lower concentration of IL-1ra. Among growth factors, we identified a decreased concentration of GM-CSF in the colostrum of GDM mothers. Thus, the data obtained support the idea that the disease leads to immune alterations in the colostrum.

Clinical Value of Early-Pregnancy Glycated Hemoglobin, Fasting Plasma Glucose, and Body Mass Index in Screening Gestational Diabetes Mellitus.

To investigate clinical values of early-pregnancy (8-13 weeks) glycated hemoglobin (HbA1c), fasting plasma glucose (FPG), and body mass index (BMI) in screening gestational diabetes mellitus (GDM). A total of 1120 cases underwent a 75 g oral glucose tolerance test (OGTT), of which 216 cases with GDM were selected as the study group, and 278 cases without GDM were selected as the control group. FPG, HbA1c, and BMI in early pregnancy were measured. The correlation between FPG, HbA1c and BMI in early pregnancy and the incidence of GDM was analyzed by binary logistic regression, and the value of each index in predicting GDM alone or in combination was evaluated. FPG, HbA1c, and BMI in early pregnancy in the GDM group were higher than those in the control group, and the differences were statistically significant (P < .05). Binary logistic regression analysis showed that FPG, HbA1c, and BMI were risk factors for GDM in early pregnancy (odds ratio [OR] values were 3.374 [P < .05], 4.644 [P < .001], and 1.077 [P < .001], respectively). The area under the receiver operating characteristic (ROC) curve of FPG, glycated hemoglobin, and BMI in screening GDM for early pregnancy were 0.647, 0.661, and 0.608, respectively, while the area under the ROC curve of the combination of these 3 indicators was 0.736. We found that FPG, HbA1c, and BMI in early pregnancy might be the potential risk factors for the occurrence of GDM, and the combination of them had certain clinical predictive value for GDM. However, it is still necessary for more studies, especially prospective studies, to validate our findings in the future.

Inflammatory factors in periodontitis patients and their effects toward the occurrence of gestational diabetes mellitus: a case-control study

Objective: To explore the effects of periodontitis and inflammatory factors toward the occurrence of gestational diabetes mellitus (GDM). Methods: Pregnant women who came to the Department of Obstetrics, Northwest Women's and Children's Hospital for prenatal examinations during March to November of 2021 were invited to participate in this study. Participants with GDM who met the inclusion criteria (n=100) were assigned into the case group; while healthy participants (n=100) were assigned into the control group. Information of participants from the two groups were collected by questionnaires and periodontal statuses were clinically recorded in the meantime. Gingival crevicular fluid (GCF) and venous blood were also collected from participants of two groups to analyze the expression levels of inflammatory factors like C-reactive protein (CRP), tumor necrosis factor-α (TNF-α), interleukin (IL)-1β, IL-6, IL-8, IL-10 and IL-33. Factors different between the two groups were included in the multivariate regression analysis model to determine the risk factors of GDM. Results: The age of participants was (33.4±5.1) years in case group and (30.5±4.5) years in control group respectively, which had statistical differences (t=4.33,P<0.001). Besides, the body mass index of participants from case group was also significantly higher than control group [(28.11±3.85) kg/m2 vs. (23.31±3.15) kg/m2, t=9.65, P<0.001]. Participants with GDM had more adverse periodontal clinical parameters. Prevalence of periodontitis in GDM group was 47.0% (47/100) compared with 29.0% (29/100) in control group (χ²=6.88, P=0.009). Multivariate regression analysis results indicated that periodontitis was a critical risk factor for the occurrence of GDM (OR=1.882, P<0.001). Besides, GCF IL-8, serum TNF-α, IL-8 and IL-10 were also risk factors of GDM due to their higher expressions. Among them, TNF-α in serum (OR=2.077) and IL-8 in serum (OR=2.060) had more significant impacts (P<0.001). Conclusions: This study demonstrated that periodontitis was associated with the occurrence of GDM. Up-regulation of serum pro-inflammatory mediators leaded by local periodontal inflammatory microenvironment might play a critical role in this pathological process.

The Mystery of Exosomes in Gestational Diabetes Mellitus.

Gestational diabetes mellitus (GDM) is one of the common pregnancy complications, which increases the risk of short-term and long-term adverse consequences in both the mother and offspring. However, the pathophysiological mechanism of GDM is still poorly understood. Inflammation, insulin resistance and oxidative stress are considered critical factors in the occurrence and development of GDM. Although the lifestyle intervention and insulin are the primary treatment, adverse pregnancy outcomes still cannot be ignored. Exosomes have a specific function of carrying biological information, which can transmit information to target cells and play an essential role in intercellular communication. Their possible roles in normal pregnancy and GDM have been widely concerned. The possibility of exosomal cargos as biomarkers of GDM is proposed. This paper reviews the literature in recent years and discusses the role of exosomes in GDM and their possible mechanisms to provide some reference for the prediction, prevention, and treatment of GDM and improve the outcome of pregnancy.

Gestational Diabetes Mellitus Among Pregnant Women Attending Ante-natal Clinic at a Secondary Care Health Facility in Haryana, India.

Introduction: Gestational diabetes has serious health effects during pregnancy and childbirth. We estimated the occurrence of gestational diabetes mellitus (GDM) among pregnant women in a secondary care hospital in Haryana.Methods: It was a hospital-based cross-sectional study, done in an ante-natal clinic (ANC) at a sub-district hospital (SDH), Faridabad district of Haryana, India. Eligible pregnant women attending the ANC clinic were recruited. An oral glucose tolerance test (OGTT) with 75 g of glucose was done with a collection of blood for fasting blood sugar (FBS) and two-hour post-OGTT blood glucose. A pre-tested semi-structured interview schedule was administered. Both the modified International Association of the Diabetes and Pregnancy Study Groups criteria (IADPSGC) and the Diabetes in Pregnancy Study Group of India (DIPSI) criteria were used. Data were presented as percentages, means, standard deviation, and 95% confidence interval (CI). Bi-variable and multi-variable logistic regressions were done. The level of significance was set at 0.05.Results: Of the 623 eligible participants, 66.1% were within the 20-25 age group. The GDM was found in 14.1% (95%CI: 11.5-17.1) participants as per modified IADPSG criteria and 6.7% (95%CI: 4.9-9.0) participants as per DIPSI criteria, respectively. Increasing age [adjusted odds ratio (AOR): 1.24 (95% CI: 1.05-1.47), p=0.008] and increasing years of schooling [AOR: 1.19 (1.01-1.41), p=0.032] were significantly associated with GDM by DIPSI criteria. Family history of DM was also found to have an increased odds with GDM using modified IADPSG criteria [AOR 2.87 (95% CI: 1.09-7.54), p=0.032]. Conclusion: Considerable proportion of pregnant women were found to have GDM in a Sub-district hospital at Ballabgarh in north India. The study highlighted the need and generated evidence about the feasibility of GDM screening utilizing routine staff in a secondary care facility.

Genetic risk of type 2 diabetes modifies the effects of a lifestyle intervention aimed at the prevention of gestational and postpartum diabetes

Aims/hypothesisThe aim of this study was to assess the interaction between genetic risk and lifestyle intervention on the occurrence of gestational diabetes mellitus (GDM) and postpartum diabetes.MethodsThe RADIEL study is an RCT aimed at prevention of GDM and postpartum diabetes through lifestyle intervention. Participants with a BMI ≥30 kg/m2 and/or prior GDM were allocated to intervention and control groups before pregnancy or in early pregnancy. The study visits took place every 3 months before pregnancy, once in each trimester, and at 6 weeks and 6 and 12 months postpartum. We calculated a polygenic risk score (PRS) based on 50 risk variants for type 2 diabetes.ResultsAltogether, 516 participants provided genetic and GDM data. The PRS was associated with higher glycaemic levels (fasting glucose and/or HbA1c) and a lower insulin secretion index in the second and third trimesters and at 12 months postpartum, as well as with a higher occurrence of GDM and glycaemic abnormalities at 12 months postpartum (n = 356). There was an interaction between the PRS and lifestyle intervention (p=0.016 during pregnancy and p=0.024 postpartum) when analysing participants who did not have GDM at the first study visit during pregnancy (n = 386). When analysing women in tertiles according to the PRS, the intervention was effective in reducing the age-adjusted occurrence of GDM only among those with the highest genetic risk (OR 0.37; 95% CI 0.17, 0.82). The risk of glycaemic abnormalities at 12 months postpartum was reduced in the same group after adjusting additionally for BMI, parity, smoking and education (OR 0.35; 95% CI 0.13, 0.97).Conclusions/interpretationGenetic predisposition to diabetes modifies the response to a lifestyle intervention aimed at prevention of GDM and postpartum diabetes. This suggests that lifestyle intervention may benefit from being tailored according to genetic risk.Clinical trial registrationClinicalTrials.gov identifier: NCT01698385Graphical abstract

Gestational Diabetes Mellitus in Pregnant Women with Beta-Thalassemia Minor: A Matched Case-Control Study.

Pregnancy in women with thalassemia minor is considered safe. However, a higher incidence of maternal and neonatal complications in women with the disorder has been reported in the literature. This study aimed to determine whether there is an increased risk of gestational diabetes mellitus (GDM) in pregnant women with beta-thalassemia minor. We conducted a retrospective matched case-control study of 230 pregnant women who delivered at the Department of Obstetrics and Feto-Maternal Medicine at the Medical University of Vienna between the years 2008 and 2020, whereof 115 women had beta-thalassemia minor. We found no significant difference in the occurrence of GDM between the case group and control group of age and BMI-matched healthy women. However, we observed a significantly lower hemoglobin (Hb) and hematocrit (Ht) level during the first, the second, and the third trimesters of pregnancy, and postpartum (all: p < 0.001) among women with beta-thalassemia minor compared to the healthy controls. Neonates of women with beta-thalassemia were more likely to experience post-natal jaundice and excessive weight loss (p < 0.001). We conclude that GDM is not more likely to occur in pregnant women with beta-thalassemia minor. However, clinicians should be made aware of the risk of adverse maternal and neonatal outcomes. Furthermore, women with beta-thalassemia minor should undergo regular laboratory screening and multidisciplinary pregnancy care.

Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes.

Gestational diabetes mellitus (GDM) is associated with increased risk of pregnancy complications and adverse perinatal outcomes. GDM often reoccurs and is associated with increased risk of subsequent diagnosis of type 2 diabetes (T2D). To improve our understanding of the aetiological factors and molecular processes driving the occurrence of GDM, including the extent to which these overlap with T2D pathophysiology, the GENetics of Diabetes In Pregnancy Consortium assembled genome-wide association studies of diverse ancestry in a total of 5485 women with GDM and 347 856 without GDM. Through multi-ancestry meta-analysis, we identified five loci with genome-wide significant association (P < 5 × 10−8) with GDM, mapping to/near MTNR1B (P = 4.3 × 10−54), TCF7L2 (P = 4.0 × 10−16), CDKAL1 (P = 1.6 × 10−14), CDKN2A-CDKN2B (P = 4.1 × 10−9) and HKDC1 (P = 2.9 × 10−8). Multiple lines of evidence pointed to the shared pathophysiology of GDM and T2D: (i) four of the five GDM loci (not HKDC1) have been previously reported at genome-wide significance for T2D; (ii) significant enrichment for associations with GDM at previously reported T2D loci; (iii) strong genetic correlation between GDM and T2D and (iv) enrichment of GDM associations mapping to genomic annotations in diabetes-relevant tissues and transcription factor binding sites. Mendelian randomization analyses demonstrated significant causal association (5% false discovery rate) of higher body mass index on increased GDM risk. Our results provide support for the hypothesis that GDM and T2D are part of the same underlying pathology but that, as exemplified by the HKDC1 locus, there are genetic determinants of GDM that are specific to glucose regulation in pregnancy.

The Analytical Reliability of the Oral Glucose Tolerance Test for the Diagnosis of Gestational Diabetes: An Observational, Retrospective Study in a Caucasian Population.

The Oral Glucose Tolerance Test (OGTT) is currently the gold standard reference test for the diagnosis of gestational diabetes mellitus (GDM). Several critical issues related to analytical variables have challenged its reproducibility and accuracy. This study aimed to assess the analytical reliability of the OGTT for the diagnosis of GDM. A total of 1015 pregnant women underwent a 2 h 75 g OGTT between 24 and 28 weeks of gestation. As recommended by National Academy of Clinical Biochemistry, we considered the total maximum allowable error for glucose plasma measurement as <6.9%. Assuming the possibility of analytical errors within this range for each OGTT glucose plasma value, different scenarios of GDM occurrence were estimated. GDM prevalence with standard criteria was 12.2%, and no hypothetical scenarios have shown a comparable GDM prevalence. Considering all the three OGTT values estimated at the lowest or the highest allowed value according to total maximum allowable error, GDM prevalence significantly varied (4.5% and 25.3%, respectively). Our results indicate that the OGTT is not completely accurate for GDM diagnosis.

Prevalence of Subclinical Hypothyroidism in Pregnancy and Its Association With Anti-thyroperoxidase Antibody and the Occurrence of Gestational Diabetes Mellitus.

IntroductionSubclinical hypothyroidism (SCH) and gestational diabetes mellitus (GDM) are common endocrinological abnormalities associated with pregnancy. The presence of a raised anti-thyroperoxidase (anti-TPO) antibody titer increases the risk of progression of subclinical hypothyroidism to overt hypothyroidism. Subclinical hypothyroidism and GDM are known to affect maternal and fetal outcomes adversely. A few studies have shown an increased risk of GDM with autoimmune hypothyroidism. However, data regarding this association between GDM, SCH, and anti-TPO Ab are scarce. This study aimed to find the prevalence of autoimmune subclinical hypothyroidism and its association with GDM in pregnancy.Materials and methodsIn a cross-sectional study, 382 pregnant women at their first antenatal checkup (ANC) were enrolled in the study. Serum thyroid-stimulating hormone (TSH), free T4 (FT4), anti-TPO Ab, and the 75 g oral glucose tolerance test (OGTT) were evaluated. The results obtained were analyzed in Systat Version 13.2 (SPSS Inc., Chicago, IL).ObservationsResults showed an SCH prevalence of 37.69% with a raised anti-TPO Ab titer in 49.31% of the diagnosed SCH cases, pointing towards an autoimmune etiology. Our study revealed a GDM prevalence of 12.04%. Out of the 46 GDM cases, 16 were found to have SCH and 3 cases had raised anti-TPO Ab titers. In our study, 27.73% of euthyroid pregnant women had a raised anti-TPO Ab titer. Our study revealed no significant association between GDM, SCH, and raised anti-TPO Ab titer.ConclusionAnti-TPO antibody subsequently leads to hypothyroxinemia, for which it is necessary that cases with high titer of anti-TPO antibody though euthyroid should be meticulously followed up and screened for to detect development of hypothyroidism or SCH, particularly in future pregnancies. However, GDM prevalence was at par with the national figure, but with no significant association of SCH and a high anti-TPO ab titer was found with GDM in our study. Further studies with a larger cohort may establish a causal association between the two most common endocrinological disorders observed in pregnancy.

Association of maternal neutrophil count in early pregnancy with the development of gestational diabetes mellitus: a prospective cohort study in China

Objective We evaluated the potential role of maternal serum levels of neutrophils in the first trimester of pregnancy in the prediction of gestational diabetes mellitus (GDM). Methods This prospective cohort study enrolled singleton pregnant women before gestational weeks 16 and evaluated them until delivery. Among the 1467 pregnant women who performed prenatal care before 14 weeks of gestation in the cohort, a total of 731 were eligible for the final analysis. The associations between neutrophil counts, white blood cell count, neutrophil to lymphocyte ratio, and GDM (assessed by a 75-g oral glucose tolerance test between 24 and 28 weeks) were evaluated by multivariate logistic regression. Results Neutrophil count outperformed the neutrophil to lymphocyte ratio and white blood cell count in predicting GDM occurrence. We applied a smoothing function and found that neutrophil count was associated with both fasting blood glucose (FBG) (p=.0149) and 1-h postprandial blood glucose (PBG) (p=.0187) after adjustment pre-pregnancy body mass index, family history of diabetes, and age. Logistic regression analysis found that the highest neutrophil count level (6.28–14.73 × 109/L) had a 1.85-fold (95% CI 1.10, 3.09) increased risk of GDM compared with that of the lowest tertile (1.47–4.82 × 109/L). Conclusions The results indicated an association between higher neutrophil levels and GDM occurrence.

Correlation between serum D-dimer andrisk of gestational diabetes mellitus

This study has been carried out to investigate the correlation between serum D-dimer and the risk of gestational diabetes mellitus (GDM). A total of 308 pregnant women treated in our hospital from January 2018 to January 2020 were retrospectively analyzed. According to the diagnostic criteria for GDM, they were divided into normal blood glucose group (n=145) and GDM group (n=163). The level of serum D-dimer was measured by enzyme-linked immunosorbent assay at 5-12, 13-23, 24-28 and 29-37 weeks of pregnancy. The pregnant women who did not have GDM at 5-12 and 13-23 weeks of pregnancy but were diagnosed with GDM at and after 24 weeks of pregnancy were assigned to GDM-A group (n=18) and GDM-B group (n=26), respectively. The related factors affecting the occurrence of GDM was analyzed by multivariate logistic regression. The optimal threshold of D-dimer for the occurrence of GDM was predicted via receiver operating characteristic (ROC) curve. The level of serum D-dimer in GDM group was significantly higher than that in normal blood glucose group at 5-12, 13-23 and 24-28 weeks of pregnancy (P<0.05). The level of serum D-dimer at 24-28 weeks of pregnancy was negatively correlated with OGTT 0-min insulin (r=-0.756, P<0.05) and HOMA-IR (r=-0.693, P<0.05), but positively correlated with LDL-C (r=0.759, P<0.05). After adjustment of confounding factors such as pregnancy age, pre-pregnancy body mass index, Acanthosis nigricans and triglyceride, the level of serum D-dimer at 13-23 weeks of pregnancy was still an independent risk factor for the occurrence of GDM at and after 24 weeks of pregnancy (OR=0.731, 95% CI=0.503-0.760, P<0.05). Moreover, in GDM-B group, the level of serum D-dimer at 13-23 weeks of pregnancy could better predict the occurrence of GDM at and after 24 weeks of pregnancy, and the area under the ROC curve was 0.731.

Maternal Exposure to Fine Particulate Matter and Its Chemical Components Increasing the Occurrence of Gestational Diabetes Mellitus in Pregnant Japanese Women.

PM2.5 exposure is a suspected risk factor for diabetes. It is hypothesized that maternal PM2.5 exposure contributes to the development of gestational diabetes mellitus (GDM). The association between PM2.5 exposure and GDM is controversial and limited evidence is available for the exposure to PM2.5 chemical components. We investigated the association between maternal exposure to total PM2.5 mass and its components, particularly over the first trimester (early placentation period), and GDM. Data were obtained from the Japan Perinatal Registry Network database, which includes all live births and stillbirths after 22 weeks of gestation at 39 cooperating hospitals in 23 Tokyo wards (2013-2015). At one fixed monitoring site, we performed daily filter sampling of fine particles and measured daily concentrations of carbon and ion components. The average concentrations of total PM2.5 and its components over the 3 months before pregnancy and the first (0-13 gestational weeks) and second (14-27 gestational weeks) trimesters were calculated and assigned to each woman. We estimated the odds ratios (ORs) of GDM in a multilevel logistic regression model. Among 82,773 women (mean age at delivery = 33.7 years) who delivered singleton births, 3,953 (4.8%) had GDM. In the multiexposure period model, an association between total PM2.5 exposure and GDM was observed for exposure over the first trimester (OR per interquartile range (IQR = 3.63 μg/m3) increase = 1.09; 95% confidence interval (CI) = 1.02-1.16), but not for the 3 months before pregnancy or the second trimester. For PM2.5 components, only organic carbon exposure over the first trimester was positively associated with GDM (OR per IQR (0.51 μg/m3) increase = 1.10; 1.00-1.21). This is the first evidence that exposure to total PM2.5 and one of its components, organic carbon, over the first trimester increases GDM occurrence in Japan.

The Expression and Clinical Value of miR-221 and miR-320 in the Plasma of Women with Gestational Diabetes Mellitus.

The goal was to investigate the expression of plasma miR-221 and miR-320 in gestational diabetes mellitus (GDM) and to further explore the relationship between miRNA and risk factors for GDM. This study included 85 GDM and 85 age-matched normal pregnant women who visited our hospital from January 2019 to January 2020. Real-time polymerase chain reaction (RT-qPCR) was used to determine the expression of miR-221 and miR-320 in the plasma of pregnant women. The correlation analysis was used to detect the relationship between miR-221, miR-320, and risk factors of GDM, including homeostatic model assessment for insulin resistance (HOMA-IR), percentage of glycosylated hemoglobin (HbA1c), and the prepregnancy BMI. The receiver operating characteristic curve (ROC) was used to determine the diagnostic value of miR-320 and miR-221 in GDM. Compared with normal pregnant women, the expression of miR-221 and miR-320 in GDM was significantly higher (p < 0.05). The results also demonstrate that the expression of miR-221 and miR-320 increases grad-ually with the development of pregnancy in GDM at 24 weeks, 28 weeks, and 32 weeks (p < 0.05). Spearman's correlation analysis confirmed that the expression level of miR-221 and miR-320 in the plasma of GDM is positively correlated with the HOMA-IR and HbA1c, but has no significant correlation with pre-pregnancy BMI. The area under the curve (AUC) values of miR-221 and miR-320 were 0.862 and 0.853, respectively. Meanwhile, the area under the combined detection curve is 0.904. Plasma miR-221 and miR-320 are significantly elevated in GDM, and are positively correlated with HbA1c and HOMA-IR. The high expression of miR-221 and miR-320 in the peripheral plasma of pregnant women may directly or indirectly participate in the occurrence and development of GDM or may become a new target for the diagnosis, treatment, and prognosis of GDM.

Assessment of Serum Ferritin, CRP and Insulin Levels in First Trimester of Pregnancy as a Predictive Biomarker of Gestational Diabetes Mellitus: A Longitudinal Study

Introduction: Gestational Diabetes mellitus (GDM) increases the risk of foetal morbidity and mortality heralding the future risk of development of type 2 diabetes in mother. GDM develops mainly due to insulin resistance along with interplay of risk factors like advancing maternal age, family history of diabetes, obesity, ethnicity, history of macrosomia. Aim: To detect whether estimation of serum ferritin, C-reactive protein and insulin in 1st trimester can predict the subsequent occurrence of GDM and whether susceptible mothers can be managed cautiously to prevent foeto-maternal complications. Materials and Methods: This hospital-based longitudinal study was done in Department of Gynaecology and obstetrics in collaboration with the Department of Biochemistry, Medical College and Hospital, Kolkata, West Bengal, India, from January 2018 to June 2019. The study included 80 antenatal mothers attending the Antenatal Outpatient Department in first trimester. The blood samples were collected from them during first trimester and serum ferritin, C-reactive Protein (CRP) and insulin were estimated using different methods as specified later. The anthropometric measurements of the mother {Body Mass Index (BMI), skin fold thickness and waist hip ratio} were measured. These enrolled study participants have undergone Oral Glucose Tolerance Test (OGTT) with 75 gm of anhydrous glucose at 24-28 weeks of gestation. The performance parameters like sensitivity, specificity, positive predictive value, negative predictive value and likelihood ratio of ferritin and CRP was calculated. Results: The mean age of participants who developed diabetes (n=12) 25.75±2.92 and who did not developed diabetes (n=68) 23.91±3.74 years. There was 15% prevelance of GDM in study population. The median concentration of serum ferritin and CRP was significantly higher in patients who developed GDM (n=12) among the study population (n=80). The sensitivity of serum ferritin {83.33% (95% confidence interval=51.59-97.91%)} was higher in comparison to C-reactive protein {31.82% (95% CI=13.86-54.87%)}. Conclusion: There was a remarkable decline of insulin sensitivity with the advancement of pregnancy. This implies that latent insulin resistance may start from first trimester and screening in high risk ethnicity group like India should be a routine protocol.

Gestational Diabetes Mellitus Risk in Pregnant Women With Systemic Lupus Erythematosus.

To investigate the risk of gestational diabetes mellitus (GDM) associated with systemic lupus erythematosus (SLE) by comparing pregnancies in women with SLE to general population controls. We identified singleton pregnancies among women with SLE and general population controls in the Swedish Medical Birth Register (MBR; 2006-2016), sampled from the population-based Swedish Lupus Linkage (SLINK) cohort (1987-2012). SLE was defined by ≥ 2 International Classification of Diseases (ICD)-coded visits in the National Patient Register (NPR) and MBR, with ≥ 1 visit before pregnancy. GDM was defined by ≥ 1 ICD-coded visit in the NPR or MBR. Glucocorticoid (GC) and hydroxychloroquine (HCQ) dispensations within 6 months before and during pregnancy were identified in the Prescribed Drug Register. Risk ratios (RRs) and 95% CIs of GDM associated with SLE were estimated using modified Poisson regression models, stratified by parity and adjusted for maternal age at delivery, year of birth, and obesity. We identified 695 SLE pregnancies including 18 (2.6%) with GDM and 4644 non-SLE pregnancies including 65 (1.4%) with GDM. Adjusted RRs of GDM associated with SLE were 1.11 (95% CI 0.38-3.27) for first deliveries and 2.03 (95% CI 1.21-3.40) for all deliveries. Among SLE pregnancies, GDM occurred in 7/306 (2.3%) with ≥ 1 GC before and/or during pregnancy, 11/389 (2.8%) without GC, 7/287 (2.4%) with ≥ 1 HCQ before and/or during pregnancy, and in 11/408 (2.7%) without HCQ. When looking at all deliveries, SLE was associated with a 2-fold higher risk of GDM. GDM occurrence did not differ by GC or HCQ.

Adolescent body mass index and changes in pre-pregnancy body mass index in relation to risk of gestational diabetes.

BackgroundPregestational excessive body mass index (BMI) is linked to an increased risk for gestational diabetes mellitus (GDM), but less is known on the effect of adolescent BMI on GDM occurrence. The study aimed to investigate possible associations of adolescent BMI and changes in BMI experienced before first pregnancy, with gestational diabetes risk.MethodsThis retrospective study was based on linkage of a military screening database of adolescent health status (Israel Defence Forces) including measured height and weight, with medical records (Maccabi Healthcare Services, MHS) of a state-mandated health provider. The latter covers about 25% of the Israeli population; about 90% of pregnant women undergo screening by the two-step Carpenter-Coustan method. Adolescent BMI was categorized according to Center of Disease Control and Prevention percentiles. Only first documented pregnanies were analyzed and GDM was the outcome.FindingsOf 190,905 nulliparous women, 10,265 (5.4%) developed GDM. Incidence proportions of GDM were 5.1%, 6.1%, 7.3%, and 8.9% among women with adolescent normal BMI, underweight, overweight, and obesity (p<0.001), respectively. In models that accounted for age at pregnancy, birth year, and sociodemographic variables, the adjusted odd ratios (aORs) for developing GDM were: 1.2 (95%CI, 1.1-1.3), 1.5 (1.4-1.6), and 1.9 (1.7-2.1) for adolescent underweight, overweight, and obesity (reference group, normal BMI). Adolescent BMI tracked with BMI notes in the pre-pregnancy period (r=63%). Resuming normal pre-pregnancy BMI from overweight or obesity in adolescence diminished GDM risk, but this diminished risk was not observed among those who returned to a normal per-pre-pregnancy BMI from being underweight in adolescence. Sustained overweight or obesity conferred an aOR for developing GDM of 2.5 (2.2-2.7); weight gain from adolescent underweight and normal BMI to pre-pregnancy excessive BMI conferred aORs of 3.1 (1.6-6.2) and 2.6 (2.2-2.7), respectively.InterpretationChange in BMI status from adolescence to pre-pregnancy may contribute to GDM risk. Identifying at-risk populations is important for early preventive interventions.FundingNone.

Combined effects of air pollutants on gestational diabetes mellitus: A prospective cohort study

Exposures to multiple air pollutants during pregnancy have been associated with the risk of gestational diabetes mellitus (GDM). However, their combined effects are unclear. We aimed to evaluate the combined associations of five air pollutants from pre-pregnancy to the 2nd trimester with GDM. This study included 20,113 participants from the Born in Guangzhou Cohort Study (BIGCS). The inverse distance-weighted models were used to estimate individual air pollutant exposure, namely ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), particulate matter less than 10 μm in diameter (PM10), and less than 2.5 μm in diameter (PM2.5). We estimated stage-specific associations of air pollutants with GDM using generalized estimating equation, and departures from additive joint effects were assessed using the relative excess risk (RERI) and the joint relative risk (JRR). Of the 20,113 participants, 3440 women (17.1%) were diagnosed with GDM. In the adjusted model, increased concentrations of O3 and SO2 3–6 months before pregnancy were associated with GDM occurrence, as well as O3 and PM10 in the 1st trimester, the adjusted relative risk (95% confident intervals) [RRs (95%CI)] ranged from 1.05 (1.00, 1.09) to 1.21 (1.04, 1.40). The largest JRR for GDM was the combination of SO2, NO2, and PM10 in the 1st trimester (JRR = 1.32, 95% CI: 1.10, 1.59). The JRR for O3 and SO2 was less than their additive joint effects [RERI = -0.25 (−0.47, −0.04), P for interaction = 0.048]. Associations of air pollutants with GDM differed somewhat by pre-pregnancy BMI and season. This study added new evidence to the current understanding of the combined effects of multiple air pollutants on GDM. Public health strategies were needed to reduce the adverse effects of air pollution exposure on pregnant women.

Sedentary behaviors and gestational diabetes mellitus: A systematic review.

Sedentary behaviors are activities that expend less energy than 1.5 metabolic equivalents, such as watching TV, sitting. We aim to systematically review the evidence to determine the association of sedentary behavior (SB) with the risk of gestational diabetes mellitus, and the associations of SB with health outcomes in pregnant women with gestational diabetes mellitus (GDM) and women at high risk of gestational diabetes mellitus. Two researchers independently performed a literature search using PubMed, Medline, EMBASE, CINAHL, the Cochrane Library, the Rehabilitation and Sports Medicine Source, and the Sedentary Behavior Research Database for studies published up to January 27, 2021. Randomized controlled trials, quasi-experimental studies, and observational studies were screened and selected if SB was assessed in the context of gestational diabetes mellitus. Two reviewers extracted the relevant information and independently assessed the included studies for quality and bias. Eighteen studies were included, involving 60 804 patients, and the timeline of the original study included was from 2006 to 2021. Our review showed that SB before pregnancy was not associated with the risk of gestational diabetes mellitus, while SB during pregnancy was uncertain about the risk of gestational diabetes mellitus. In addition, there were significant associations between SB time and metabolic outcomes. In addition, SB may cause some adverse maternal and fetal outcomes. SB is likely to be the intermediary variable between occurrence of GDM and adverse maternal and infant outcome, rather than a direct influencing factor. Limited by the quantity and quality of included studies, the above conclusions need to be verified by more high-quality studies.

Association between dietary vitamin A intake and gestational diabetes mellitus in the first trimester

Objective: To investigate the relationship between dietary vitamin A intake and its sources in the first trimester and gestational diabetes mellitus (GDM). Methods: A prospective study was conducted to select women at 6-14 weeks of gestation in an obstetric clinic of a maternal and child health care medical institution in Chengdu in 2017. The types and quantities of food during the first trimester were collected by 3-day 24-hour dietary recalls. Dietary vitamin A intake was calculated based on the Chinese Food Composition Table (2018), and it was divided into animal and plant vitamin A intakes according to its food sources. An oral glucose tolerance test was performed at 24-28 weeks of gestation to diagnose GDM according to the Chinese guidelines for diagnosis and treatment of gestational diabetes mellitus (2014). According to the estimated average requirement (EAR) and recommended nutrient intake (RNI), dietary vitamin A intake was divided into low-level group (<EAR), medium-level group (EAR-RNI) and high-level group (>RNI). Animal and plant vitamin A intakes were divided into four groups (Q1-Q4) according to the quartile method, respectively. The association between dietary vitamin A intake, its different sources of vitamin A intake and GDM in the first trimester was analyzed by log-binomial regression models. Results: A total of 1 298 valid samples were finally included. The average dietary vitamin A intake, animal and plant vitamin A intakes in the first trimester were 341.1 (227.8-501.0) μgRAE/d, 139.3 (69.6-195.3) μgRAE/d and 184.2 (99.4-301.1) μgRAE/d, respectively. After adjusting for confounding factors, log-binomial regression analysis showed that the risk of GDM in high-level group of dietary vitamin A intake was lower than that in low-level group [RR (95%CI):0.53 (0.36-0.80)]. Pregnant women in the highest quartile of animal vitamin A intake had a lower risk of GDM than those in the lowest quartile [RR (95%CI):0.66 (0.47-0.95)]. No relationship between plant vitamin A intake and GDM was found. Conclusion: Dietary vitamin A intake in the first trimester is associated with the occurrence of GDM, and higher intake than RNI may reduce the risk of GDM. Higher vitamin A intake from animal-derived food is associated with decreased risk of GDM.