The risk factors for gestational diabetes mellitus: A retrospective study

GDM-BC: Non-invasive body composition dataset for intelligent prediction of Gestational Diabetes Mellitus

Gestational Diabetes Mellitus (GDM) refers to any degree of impaired glucose tolerance with onset or first recognition during pregnancy. As a high-prevalence disease, GDM damages the health of both pregnant women and fetuses in the short and long term. Accurate and cost-effective recognition of GDM is quite crucial to reduce the risk and economic pressure of this disease. However, existing datasets for the prediction of GDM primarily focus on clinical and biochemical parameters, including a mass of invasive indexes. These variables are hard to obtain and do not always perform well in the prediction of GDM. In this paper, we introduce a large-scale non-invasive body composition dataset, called GDM-BC, for intelligent risk prediction of GDM. Specifically, it contains a cohort of 39,438 pregnant women, of whom 7777 (19.7%) were subsequently diagnosed with GDM. Besides, our dataset includes a large number of body composition indexes that can be acquired non-invasively. In addition, we perform several traditional machine learning and deep learning methods on the GDM-BC dataset, among which the Residual Attention Fully Connected Network (RAFNet) performs the best, achieving an AUC (area under the ROC curve) of 0.920. The results show that our dataset is marvelous and creates a new perspective on the prediction of GDM. Our models may offer an opportunity to establish a cost-effective screening approach for identifying low-risk pregnant women based on body composition data. We believe that our proposed GDM-BC dataset will advance future research on risk prediction for GDM, as well as provide new insights for intelligent prediction of other high-incidence pregnancy-related diseases such as gestational hypertension.

The impact of educational attainment on gestational diabetes mellitus is mediated by body mass index: A Mendelian randomization study

Gestational diabetes mellitus (GDM) is a common pregnancy complication associated with adverse maternal and neonatal outcomes. While numerous studies have investigated the factors influencing GDM, the relationship between educational attainment and the GDM risk remains less explored. This study employs a Mendelian randomization (MR) approach to estimate the causal relationship between educational attainment, as a proxy for socioeconomic inequality, and the risk of GDM, and to quantify the roles of body mass index (BMI) as a potential mediator. We performed a two-sample MR study of genetically predicted educational attainment (instrumented using 1271 variants from 766,345 individuals) and gestational diabetes mellitus (116,363 individuals) using the largest genome-wide association studies. We used a two-step MR to quantify the proportion of education's effect on GDM mediated by BMI (681,275 individuals). Each standard deviation increase in educational attainment (4.2 years of schooling) was protective of GDM (odds ratios: 0.67; 95% confidence intervals [CI]: 0.59, 0.76). Higher educational attainment was also protective for BMI [β = -0.27 standard deviation (~1.3 kg/m2); 95% CI: -0.32, -0.22]. BMI mediated 35% (95% CI: 25%, 46%) of the total effect of education on GDM. Higher educational attainment has a protective effect on GDM risk. Interventions to reduce excess adiposity at the population level may reduce this risk, but the effect of education on GDM remains largely unexplained. Further investigation is necessary to identify additional risk factors that function as potentially modifiable mediators.

The Association Between Maternal Body Fat Percentage and the Risk of Gestational Diabetes Mellitus

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

Serum progesterone, glycosylated hemoglobin and insulin levels with the risk of premature rupture of membranes in gestational diabetes mellitus

OBJECTIVE

To discuss the correlation between serum progesterone, glycosylated Hemoglobin (HbA1c), and insulin levels in pregnant women with Gestational Diabetes Mellitus (GDM) and the risk of Premature Rupture of Membranes (PROM).

METHODS

A retrospective analysis was conducted on 52 patients diagnosed with GDM who also presented with PROM (Observation group) and compared with 89 patients diagnosed with GDM but not complicated with PROM (Control group). Progesterone, insulin, and HbA1c were detected. Risk factors for PROM in GDM patients were analyzed.

RESULTS

The observation group had higher HbA1c and fasting blood glucose levels. Poor blood glucose control and GWG are risk factors for PROM in GDM patients. PROM increases adverse pregnancy outcomes in GDM. HbA1c, insulin, and HOMA-IR can predict the risk of PROM in GDM.

CONCLUSIONS

The effective prediction of preterm PROM can be achieved through the monitoring of serum HbA1c, insulin levels, and insulin resistance in patients with GDM.

Comprehensive data on the relationship between KCNJ11 polymorphisms and gestational diabetes mellitus predisposition: a meta-analysis

Purpose

The genetic aspect of gestational diabetes mellitus (GDM) is influenced by multiple causal genetic variants, each with different effect sizes. The KCNJ11 gene is particularly noteworthy as a potential contributor to the risk of GDM due to its role in regulating glucose-induced insulin secretion. To evaluate the association between KCNJ11 polymorphisms and GDM, a comprehensive meta-analysis was conducted to review the existing literature and quantitatively assess the correlation.

Methods

A thorough search was performed on the PubMed, EMBASE, Scopus, and CNKI databases until December 25, 2023, using precise terms and keywords related to Gestational Diabetes, KCNJ11 gene, and polymorphism. Odds ratios and 95% confidence intervals were used to evaluate the relationships. The statistical analysis was conducted using Comprehensive Meta-Analysis software, and the Cochrane risk of bias assessment tool was used to determine bias presence.

Results

The meta-analysis comprised 9 studies with 3108 GDM cases and 5374 controls for the rs5219 polymorphism, and 3 studies with 1209 GDM cases and 1438 controls for the rs5210 polymorphism. The pooled data indicated a noteworthy link between the rs5219 polymorphism and GDM globally and among various ethnic groups, notably in Caucasian and Asian populations. However, no substantial association was observed between the rs5210 polymorphism and GDM.

Conclusions

Pooled data showed a correlation between the KCNJ11 rs5219 polymorphism and GDM susceptibility, but no association was found for the rs5210 polymorphism. Future research with larger sample sizes and more diverse populations is needed to improve result generalizability.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-024-01428-0.

Type 2 diabetes linked FTO gene variant rs8050136 is significantly associated with gravidity in gestational diabetes in a sample of Bangladeshi women: Meta-analysis and case-control study

OBJECTIVE

Gestational diabetes mellitus (GDM) is a growing public health concern that has not been extensively studied. Numerous studies have indicated that a variant (rs8050136) of the fat mass-associated gene, FTO, is associated with both GDM and Type 2 diabetes mellitus(T2DM). We conducted a meta-analysis on the association between the FTO single nucleotide polymorphism (SNP) rs8050136 and T2DM, followed by a case-control study on the association of the said SNP and GDM in a sample of Bangladeshi women.

METHOD

A total of 25 studies were selected after exploring various databases and search engines, which were assessed using the Newcastle-Ottawa Scale (NOS). The MetaGenyo web tool was used to conduct this meta-analysis. A case-control study was performed on 218 GDM patients and 284 controls to observe any association between FTO rs8050136 and GDM. Genotyping was performed using the tetra-primer amplification refractory mutation system-polymerase chain reaction (T-ARMS) method, and statistical analyses were performed using various statistical softwares.

RESULTS

In the meta-analysis 26231 cases and 43839 controls were examined. Pooled association analyses revealed a statistically significant relationship between the FTO rs8050136 polymorphism and an elevated risk of T2DM under all genetic models (P<0.05). In the case-control study, synergistic analyses of the SNP and gravida with GDM revealed a significant (P<0.01) association with an increase in odds by 1.6 to 2.4 folds in multigravida and decrease in odds by 2 folds in primigravida. A positive family history of diabetes and the minor allele of this SNP collectively increased the risk of developing GDM by many-fold (1.8 to 2.7 folds). However, after accounting for family history of diabetes and gravidity, analyses showed no significant association with GDM.

CONCLUSION

Our meta-analysis revealed a significant association between SNP rs8050136 of FTO with T2DM, and this variant was substantially associated with an increased risk of GDM in a sample of Bangladeshi multigravida women.

Influence of temperature on the risk of gestational diabetes mellitus and hypertension in different pregnancy trimesters

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

Exploring the Role of Mediterranean and Westernized Diets and Their Main Nutrients in the Modulation of Oxidative Stress in the Placenta: A Narrative Review

Oxidative stress is a major cellular event that occurs in the placenta, fulfilling critical physiological roles in non-pathological pregnancies. However, exacerbated oxidative stress is a pivotal feature of different obstetric complications, like pre-eclampsia, fetal growth restriction, and other diseases. Compelling evidence supports the relevant role of diet during pregnancy, with pleiotropic consequences for maternal well-being. The present review aims to examine the complex background between oxidative stress and placental development and function in physiological conditions, also intending to understand the relationship between different dietary patterns and the human placenta, particularly how this could influence oxidative stress processes. The effects of Westernized diets (WDs) and high-fat diets (HFDs) rich in ultra-processed foods and different additives are compared with healthy patterns such as a Mediterranean diet (MedDiet) abundant in omega 3 polyunsaturated fatty acids, monounsaturated fatty acids, polyphenols, dietary fiber, and vitamins. Although multiple studies have focused on the role of specific nutrients, mostly in animal models and in vitro, further observational and intervention studies focusing on the placental structure and function in women with different dietary patterns should be conducted to understand the precise influence of diet on this organ.

Molecular pathways and nutrigenomic review of insulin resistance development in gestational diabetes mellitus

Gestational diabetes mellitus is a condition marked by raised blood sugar levels and insulin resistance that usually occurs during the second or third trimester of pregnancy. According to the World Health Organization, hyperglycemia affects 16.9% of pregnancies worldwide. Dietary changes are the primarily alternative treatment for gestational diabetes mellitus. This paper aims to perform an exhaustive overview of the interaction between diet, gene expression, and the metabolic pathways related to insulin resistance. The intake of foods rich in carbohydrates can influence the gene expression of glycolysis, as well as foods rich in fat, can disrupt the beta-oxidation and ketogenesis pathways. Furthermore, vitamins and minerals are related to inflammatory processes regulated by the TLR4/NF-κB and one carbon metabolic pathways. We indicate that diet regulated gene expression of PPARα, NOS, CREB3L3, IRS, and CPT I, altering cellular physiological mechanisms and thus increasing or decreasing the risk of gestational diabetes. The alteration of gene expression can cause inflammation, inhibition of fatty acid transport, or on the contrary help in the modulation of ketogenesis, improve insulin sensitivity, attenuate the effects of glucotoxicity, and others. Therefore, it is critical to comprehend the metabolic changes of pregnant women with gestational diabetes mellitus, to determine nutrients that help in the prevention and treatment of insulin resistance and its long-term consequences.

Gestational Diabetes Mellitus and Antenatal Corticosteroid Therapy-A Narrative Review of Fetal and Neonatal Outcomes

BACKGROUND

There, we review the pathogenesis of gestational diabetes mellitus (GDM), its influence on fetal physiology, and neonatal outcomes, as well as the usage of antenatal corticosteroid therapy (ACST) in pregnancies complicated by GDM.

METHODS

MEDLINE and PubMed search was performed for the years 1990-2022, using a combination of keywords on such topics. According to the aim of the investigation, appropriate articles were identified and included in this narrative review.

RESULTS

GDM is a multifactorial disease related to unwanted pregnancy course and outcomes. Although GDM has an influence on the fetal cardiovascular and nervous system, especially in preterm neonates, the usage of ACST in pregnancy must be considered taking into account maternal and fetal characteristics.

CONCLUSIONS

GDM has no influence on neonatal outcomes after ACST introduction. The ACST usage must be personalized and considered according to its gestational age-specific effects on the developing fetus.

Unfolding the role of placental-derived Extracellular Vesicles in Pregnancy: From homeostasis to pathophysiology

The human placenta is a critical structure with multiple roles in pregnancy, including fetal nutrition and support, immunological, mechanical and chemical barrier as well as an endocrine activity. Besides, a growing body of evidence highlight the relevance of this organ on the maternofetal wellbeing not only during gestation, but also from birth onwards. Extracellular vesicles (EVs) are complex macromolecular structures of different size and content, acting as carriers of a diverse set of molecules and information from donor to recipient cells. Since its early development, the production and function of placental-derived EVs are essential to ensure an adequate progress of pregnancy. In turn, the fetus receives and produce their own EVs, highlighting the importance of these components in the maternofetal communication. Moreover, several studies have shown the clinical relevance of EVs in different obstetric pathologies such as preeclampsia, infectious diseases or gestational diabetes, among others, suggesting that they could be used as pathophysiological biomarkers of these diseases. Overall, the aim of this article is to present an updated review of the published basic and translational knowledge focusing on the role of placental-derived EVs in normal and pathological pregnancies. We suggest as well future lines of research to take in this novel and promising field.

Maternal Early-Life Risk Factors and Later Gestational Diabetes Mellitus: A Cross-Sectional Analysis of the UAE Healthy Future Study (UAEHFS)

Limited studies have focused on maternal early-life risk factors and the later development of gestational diabetes mellitus (GDM). We aimed to estimate the GDM prevalence and examine the associations of maternal early-life risk factors, namely: maternal birthweight, parental smoking at birth, childhood urbanicity, ever-breastfed, parental education attainment, parental history of diabetes, childhood overall health, childhood body size, and childhood height, with later GDM. This was a retrospective cross-sectional study using the UAE Healthy Future Study (UAEHFS) baseline data (February 2016 to April 2022) on 702 ever-married women aged 18 to 67 years. We fitted a Poisson regression to estimate the risk ratio (RR) for later GDM and its 95% confidence interval (CI). The GDM prevalence was 5.1%. In the fully adjusted model, females with low birthweight were four times more likely (RR 4.04, 95% CI 1.36-12.0) and females with a parental history of diabetes were nearly three times more likely (RR 2.86, 95% CI 1.10-7.43) to report later GDM. In conclusion, maternal birthweight and parental history of diabetes were significantly associated with later GDM. Close glucose monitoring during pregnancy among females with either a low birth weight and/or parental history of diabetes might help to prevent GDM among this high-risk group.

Physical Activity during Pregnancy: Comparisons between Objective Measures and Self-Reports in Relation to Blood Glucose Levels

Objective: to quantify pregnant women’s physical activity during pregnancy using wearable accelerometers and a self-reported scale and to examine the variation in these two physical activity measures in relation to fasting plasma glucose (FPG) levels and presence of gestational diabetes mellitus (GDM). Methods: this prospective observational study included 197 pregnant women from one of the largest regional hospitals in South China. Women with singleton pregnancy, absence of pre-existing comorbidities and pre-specified contraindications, wore an accelerometer on their waist for 7 consecutive days to objectively record their physical activity, followed by completing a past-7-day physical activity questionnaire, three times, respectively, in three trimesters. GDM was determined by 2-h 75 g oral glucose tolerance test (OGTT) in 24–28th week’s gestation and FPG was obtained in both 1st and 2nd trimesters following standard practice. Results: pregnant women engaged highest levels of various physical activity types in 2nd trimester, except accelerometer-based moderate-to-vigorous physical activity which gradually decreased in pregnancy. Pregnant women were more likely to walk in 3rd trimester. The relationship between objective total physical activity and self-reported total physical activity was non-linear. Increased trend of FPG from 1st trimester to 2nd trimester disappeared when adjusting for accelerometer-based light physical activity and attenuated when including walking. Self-reported moderate physical activity was surprisingly positively associated with GDM. Conclusions: different patterns in physical activity between objective measure and self-report in relation to gestational glucose levels were observed. Short-term increase in moderate physical activity prior to OGTT may not be necessary for reducing presence of GDM. Future glucose management for pregnant women may be targeted at lower intensity physical activity.

Preventing Gestational Diabetes Mellitus by Improving Healthy Diet and/or Physical Activity during Pregnancy: An Umbrella Review

Several epidemiological studies have analyzed the effects of lifestyle modification on reducing the risk of gestational diabetes mellitus (GDM); however, their results remain inconsistent. This umbrella review aims to evaluate the effects of diet and/or physical activity interventions during pregnancy on preventing GDM. Systematic reviews and meta-analysis of randomized clinical trials reporting preventive effects of diet and/or physical activity in reducing the incidence of GDM were included from PubMed, Web of Science, Scopus and Cochrane library. Two authors independently assessed the overlapping and quality of the 35 selected reviews using AMSTAR 2. The results, although variable, tend to defend the protective role of diet and physical activity interventions separately and independently of each other in the prevention of GDM. However, the results for the combined interventions show a possible protective effect; however, it is not entirely clear because most of the analyzed meta-analyses tend to approach 1, and heterogeneity cannot be ruled out. Establishing conclusions about the most efficient type of intervention and a dose-effect relationship was not feasible given the low quality of systematic reviews (83% low to critically low) and the variability in reporting interventions. Therefore, more studies with better quality and definition of the interventions are required. The protocol was previously registered in PROSPERO as CRD42021237895.

Laboratory and Clinical Predictors for Gestational Diabetes Mellitus among Kosovo Pregnant Women

BACKGROUND: Gestational diabetes mellitus (GDM) is a condition increasing yearly worldwide. AIM: We investigated the prevalence and the arrangement of common risk predictors for developing GDM among Kosova pregnant women after 24 gestational weeks. MATERIALS AND METHODS: A total of 202 hospitalized pregnant women participated in this prospective study. All participants underwent a detailed clinical examination for risk factors for GDM, followed by appropriate biochemical blood analysis and anthropometric measurements. The glucose tolerance test results were interpreted according to the criteria established by the World Health Organization (WHO) and American Diabetes Association. Participants in the first part of the study were divided into the four risk groups and in the second part GDM group (case group) or a normal glucose tolerance group (control group) to determine the risk factors for GDM and associated clinical and biochemical predictors. RESULTS: The prevalence of gestational diabetes was 5.9%.The average age was 30.0 ± 5.5. Main characteristics of high-risk group of women for GDM were: ages above 30-year-old (p = 0.001), positive glucose intolerance (p = 0.0001), personal history for GDM (p = 0.0001), familiar history for DM (p = 0.0001), obesity (p = 0.0001), previous childbirth with weight higher than 4000 g (p = 0.0001), vulvovaginal infection (p = 0.0001), and polyhydramnios (p = 0.0001). Almost the same characteristics were found also for the GDM group: Like personal history for GDM (p = 0.0018), and family history for DM (p = 0.0018). Moreover, the group with GDM was characterized with significantly higher laboratory parameters such as fasting glycemia (p = 0.0000), triglycerides, and cholesterol concentrations (p = 0.0001). Anthropometric measurements such as weight (p = 0.002), body mass index (p = 0.0015), and systolic (p = 0.0163) and diastolic (p = 0.042) blood pressure were also significantly higher than the control group. CONCLUSIONS: Older age, family history of diabetes and personal history for GDM, polyhydramnios, stillbirth >4000 g, were significant risk factors for GDM. Screening for risk factors can easily bring at GDM early diagnosis and prevention. Public awareness-raising on the risk factors for GDM and the need for early screening should be strongly pursued, particularly for the women at risk for GDM, especially in developing countries. At every level of health service, GDM screening to pregnant women should be incorporated as a routine antenatal visit.

The impact of COVID-19 on the physical activity and sedentary behaviour levels of pregnant women with gestational diabetes

Background

The aim of this study was to understand how physical activity and sedentary behaviour levels of pregnant women with gestational diabetes in the UK have been affected by COVID-19.

Methods

An online survey exploring physical activity and sedentary behaviour levels of pregnant women with gestational diabetes during COVID-19 was distributed through social media platforms. Women who had been pregnant during the COVID-19 outbreak and had gestational diabetes, were resident in the UK, were 18 years old or over and could understand written English were invited to take part.

Results

A total of 724 women accessed the survey, 553 of these met the eligibility criteria and took part in the survey. Sedentary time increased for 79% of the women during the pandemic. Almost half of the women (47%) were meeting the physical activity guidelines pre COVID-19 during their pregnancy, this dropped to 23% during the COVID-19 pandemic. Fear of leaving the house due to COVID-19 was the most commonly reported reason for the decline. Significant associations were found between meeting the physical activity guidelines during COVID-19 and educational attainment, fitness equipment ownership and knowledge of how to exercise safely in pregnancy.

Conclusions and implications

These results show the impact of COVID-19 on physical activity and sedentary behaviour levels and highlight the need for targeted public health initiatives as the pandemic continues and for future lockdowns. Women with gestational diabetes need to know how it is safe and beneficial to them to engage in physical activity and ways to do this from their homes if fear of leaving the house due to COVID-19 is a barrier for them. Online physical activity classes provided by certified trainers in physical activity for pregnant women may help them remain active when face-to-face appointments are reduced and limited additional resources are available.

Factors affecting the growth of children till the age of three years with overweight whose mothers have diabetes mellitus: A population-based cohort study

Background

The prevalence of diabetes mellitus (DM) during pregnancy and childhood obesity is increasing worldwide. Factors affecting the growth of children with overweight whose mothers had DM are complicated and inconclusive. Few longitudinal studies have focused on the growth of infants with macrosomia born to mothers with DM and the factors influencing their overweight. This study explored risk factors for childhood overweight/obesity (OWOB) among children of mothers with DM. Perinatal, maternal socio-demographic, infant care, and maternal body weight characteristics as well as child growth until age 3 years were analyzed using a longitudinal design.

Methods

In total, 24,200 pairs of mothers and their children from the Taiwan Birth Cohort Study were included. Combined Taiwan Children Growth Curve report classifications were analyzed for infant growth at birth and at 6, 12, 18, 24, and 36 months old (m/o). A multiple logistic regression analysis with different model settings was used to assess factors affecting the growth of high birth weight children of mothers with diabetic mellitus (HODM).

Results

Children in the HODM group had a higher average body weight than did those in the non-DM group at different age stages. Relative to the non-DM group, weight gain in the HODM group was slower before 18 m/o but faster from 18 to 36 m/o, particularly after 24 m/o. Maternal DM was a major risk factor for childhood OWOB (odds ratio [OR]: 3.25–3.95). After adjustment for related confounders, the OR was 2.19–3.17. Maternal overweight or obesity and higher gestational weight gain were greater risk factors for childhood OWOB at 3 years old after adjusted maternal DM and other selected confounders (OR: 1.45 and 1.23, respectively). Breastfeeding until 6 m/o was a protective factor against childhood OWOB (OR: 0.95). The HODM and non-DM groups did not differ significantly in perinatal, maternal socio-demographic, or infant care characteristics.

Conclusions

Maternal DM is a major factor of childhood OWOB. Maternal body weight before and after pregnancy affects childhood OWOB, and this effect increases with the child’s age.

Gestational Diabetes Mellitus: A Harbinger of the Vicious Cycle of Diabetes

Gestational diabetes mellitus (GDM), characterized by a transitory form of diabetes induced by insulin resistance and pancreatic β-cell dysfunction during pregnancy, has been identified as one of the major obstacles in achieving improved maternal and child health. Approximately 9-25% of pregnancies worldwide are impacted by the acute, long-term, and transgenerational health complications of this disease. Here, we discuss how GDM affects longstanding maternal and neonatal outcomes, as well as health risks that likely persist into future generations. In addition to the current challenges in the management and diagnosis of and the complications associated with GDM, we discuss current preclinical models of GDM to better understand the underlying pathophysiology of the disease and the timely need to increase our scientific toolbox to identify strategies to prevent and treat GDM, thereby advancing clinical care.

A mid-pregnancy risk prediction model for gestational diabetes mellitus based on the maternal status in combination with ultrasound and serological findings

Although previous studies have proposed predictive models of gestational diabetes mellitus (GDM) based on maternal status, they do not always provide reliable results. The present study aimed to create a novel model that included ultrasound data of maternal fat distribution and serum inflammatory factors. The clinical data of 1,158 pregnant women treated at Tangshan Gongren Hospital and eight other flagship hospitals in Tangshan, including the First Hospital of Tangshan Gongren Hospital group, Ninth Hospital of Tangshan Gongren Hospital group, Tangshan Gongren Hospital group rehabilitation hospital, Tangshan railway central hospital, Tangshan Gongren Hospital group Fengnan hospital, Tangshan Gongren Hospital group Qianan Yanshan hospital, Tangshan Gongren Hospital group Qianxi Kangli hospital and Tangshan Gongren Hospital group Jidong Sub-hospital, were analyzed following the division of subjects into GDM and non-GDM groups according to their diagnostic results at 24-28 weeks of pregnancy. Univariate analysis was performed to investigate the significance of the maternal clinical parameters for GDM diagnosis and a GDM prediction model was established using stepwise regression analysis. The predictive value of the model was evaluated using a Homer-Lemeshow goodness-of-fit test and a receiver operating characteristic curve (ROC). The model demonstrated that age, pre-pregnancy body mass index, a family history of diabetes mellitus, polycystic ovary syndrome, a history of GDM, high systolic pressures, glycosylated hemoglobin levels, triglyceride levels, total cholesterol levels, low-density lipoprotein cholesterol levels, serum hypersensitive C-reactive protein, increased subcutaneous fat thickness and visceral fat thickness were all correlated with an increased GDM risk (all P<0.01). The area under the curve value was 0.911 (95% CI, 0.893-0.930). Overall, the results indicated that the current model, which included ultrasound and serological data, may be a more effective predictor of GDM compared with other single predictor models. In conclusion, the present study developed a tool to determine the risk of GDM in pregnant women during the second trimester. This prediction model, based on various risk factors, demonstrated a high predictive value for the GDM occurrence in pregnant women in China and may prove useful in guiding future clinical practice.

Independent and combined effects of age, body mass index and gestational weight gain on the risk of gestational diabetes mellitus

This study aimed to identify the independent and combined effects of age, BMI at first prenatal visit and GWG on the risk of GDM. A retrospective cohort study of 1,951 pregnant women in Seremban district, Negeri Sembilan, Malaysia. GDM was defined as fasting plasma glucose (FPG) ≥5.6 mmol/l and/or 2-hour postprandial plasma glucose (2hPPG) ≥7.8 mmol/l. A higher percentage of women with GDM had 2 risk factors (29.0%) or >2 risk factors (8.6%) compared to non-GDM women (2 risk factors: 25.5%; >2 risk factors: 5.0%). In general, women with ≥2 risk factors were respectively 1.36-2.06 times more likely to have GDM compared to those without risk factors. Older maternal age and being overweight/obese were significantly associated with risk of GDM. Overweight/obese women with age ≥35 years had 2.45 times higher risk of GDM and having excessive GWG at second trimester further increased the risk of GDM. Age and BMI are independent risk factors for GDM but not GWG in the first and second trimester. The findings emphasize the need to focus on a healthy BMI before pregnancy and optimal GWG during pregnancy to improve pregnancy outcomes.

Quality of Life, Social Support, Acceptance of Illness, and Self-Efficacy among Pregnant Women with Hyperglycemia

Carbohydrate metabolism disorders resulting in hyperglycemia are among the most common metabolic complications of pregnancy. According to 2017 data from the International Diabetes Federation (IDF), 16.2% of pregnancies are complicated with hyperglycemia, of which gestational diabetes mellitus (GDM) accounts for 86.4% of cases. Carbohydrate metabolism disorders developing during pregnancy require the patient to change her lifestyle or, in some cases, to undergo pharmaceutical treatment, which may affect various aspects of the patient's life, including her perceived quality of life (QoL). The purpose of the present study was to evaluate levels of QoL, social support, acceptance of illness, and self-efficacy among pregnant patients with hyperglycemia. The study was performed between July 2016 and September 2017 in a group of hyperglycemic pregnant women. The following instruments were used: the World Health Organization Quality of Life-BREF (WHOQOL-BREF), the Berlin Social Support Scales (BSSS), the Acceptance of Illness Scale (AIS), the Generalized Self-Efficacy Scale (GSES) and a standardized interview questionnaire. Participants rated their overall QoL (3.64 points) higher than their overall perceived health (3.43). In terms of social support, the highest scores were obtained in terms of actually received support (3.53) and perceived available instrumental support (3.52), while the lowest in terms of support seeking (2.99) and the need for support (2.95). The mean acceptance of illness score among the hyperglycemic pregnant women that were studied was 31.37, and the mean generalized self-efficacy score was 31.58. Participants' reported QoL in the various WHOQOL-BREF domains was associated with specific social support scales, acceptance of illness, and generalized self-efficacy.

The association of body composition with the risk of gestational diabetes mellitus in Chinese pregnant women: A case-control study

Studies have found that the measurement of body composition can be used to identify the gestational diabetes mellitus (GDM) risk in pregnant women. However, few studies focused on the relationship between body composition and GDM development in low GDM risk population. Thus, the objective of this study was to examine the association between body composition and the development of GDM in pregnant women with low risk of gestational diabetes.A retrospective case-control study was conducted. We reviewed the medical records of 3965 pregnant women who had body composition measurement from March, 2016 to May, 2018 in our hospital. Their sociodemographic, clinical data, and body composition information were collected from medical record. Multiple logistic regression analyses were used.A total of 2698 subjects were eligible for the study. The mean age of the gravidas was 30.95 ± 4.01 years old. Of all gravidas, 462 had gestational diabetes. Percentage body fat was the strongest risk factor for gestational diabetes after adjusting pre-pregnancy body mass index (BMI) (odds ratio = 1.786, 95% confidence interval = 1.112-2.866, P = .02). The age and extracellular water/intracellular water ratio were independently associated with gestational diabetes.Percentage body fat was the strongest risk factor for gestational diabetes after adjusting pre-pregnancy BMI. Assessment of body composition may provide important guidance to identify gestational diabetes in pregnant women with low gestational diabetes risk.

Lower vitamin D levels during the second trimester are associated with developing gestational diabetes mellitus: an observational cross-sectional study

In this study, we aimed to compare serum 25(OH)D levels in women with and without gestational diabetes mellitus (GDM), and to identify the serum 25(OH)D levels associated with GDM. We recruited 40 women with GDM and 40 healthy pregnant women, aged 20-40 years and in the second trimester, at Gulhane Education and Research Hospital. We excluded women with chronic diseases, preeclampsia, pre-GDM, multiple pregnancies, and those taking medications related to calcium or vitamin D metabolism. We took anthropometric measurements and blood samples during the second trimester. Of the 80 pregnant women, pre-pregnancy body mass index was significantly higher among the GDM group than the healthy group (26.4 ± 5.73 kg/m² vs. 22.6 ± 3.56 kg/m², p = .001). Serum 25(OH)D levels in women with GDM were significantly lower than those in healthy women (16.8 ± 9.90 ng/mL vs. 20.9 ± 8.16 ng/mL, p = .016). The prevalence of severe vitamin D deficiency was as high as 72.5% among women in the GDM group, with a 1.74-fold increased risk of deficient status. Levels of 25(OH)D lower than a cutoff value of 14.0 ng/mL were determined to be related to GDM. These study results suggest that maternal vitamin D deficiency in mid-pregnancy is significantly associated with development of GDM.

[Risk factors analysis of gestational diabetes mellitus based on International Association of Diabetes Pregnancy Study Groups criteria]

OBJECTIVE

To study the risk factors for gestational diabetes mellitus (GDM).

METHODS

This retrospective case-control study was conducted among women registered at the Department of Obstetrics of West China Second University Hospital between March, 2016 and May, 2018. The women were divided into case group (GDM) and control group (Non- GDM) according to the diagnosis of GDM based on the International Association of Diabetes Pregnancy Study Groups (IADPSG) criteria. The data including age, education level, ethnicity and other socio-demographic data, as well as the gestational week, parity, polycystic ovary syndrome, family history of diabetes, fat mass, total body water, minerals and other clinical characteristics were collected. Univariate Logistic regression analysis was performed and the variables with statistical difference and clinical significance were included in multivariate Logistic regression analysis to identify the risk factors of GDM.

RESULTS

A total of 3608 pregnant women were included in the study. Univariate logistic analysis revealed that age, previous GDM, intracellular/extracellular water, fat mass, arm circumference, skeletal muscle mass were risk factors for GDM. Multivariate logistic analysis showed that age, previous GDM, family history of DM, and an arm circumference ≥28.5 cm were independent risk factors for GDM after controlling pre-pregnancy BMI. The risk of GDM in pregnant women aged 30-35 years and 36 years or older was 1.883 (P < 0.001) and 2.883 (P < 0.001) times of that in women aged 20-29 years, respectively. Women with a history of GDM had a 6.604 (P < 0.001) greater risk of developing GDM than women without a history of GDM. Compared with those without a family history of diabetes, those with a family history of diabetes were 2.518 times more likely to develop GDM (P < 0.001). Compared with those with an arm circumference no greater than 25.5 cm, pregnant women with an arm circumference over 28.5 cm had an increased risk of GDM by 2.815 times (P < 0.001). High fat free mass was a protective factor for GDM, and compared with a fat free mass below 35.1 kg, a fat free mass over 40.1 kg was associated with a lowered risk of GDM by 0.515 times (P < 0.001).

CONCLUSIONS

The onset of GDM was affected by multiple factors. Age, history of GDM, family history of diabetes, and a large arm circumference are all independent risk factors of GDM and should be controlled to reduce the incidence of GDM.

Association between maternal education level and gestational diabetes mellitus: a meta-analysis

Aims: The association between maternal education and gestational diabetes mellitus (GDM) has been discussed in considerable studies, yet the inconsistent findings still exist. The aim of this study is to investigate whether maternal education level is associated with GDM risk.Material and methods: PubMed, ScienceDirect, and Cochrane Library databases were searched up to October 2018. Observational studies on the association between maternal education level and GDM risk were included. The pooled odds ratios (ORs) and 95% confidence intervals (CIs) for highest versus lowest level of maternal education were estimated using a random-effects model.Results: As compared to lowest education level, the pooled OR for women with highest education level was 0.75 (95% CI: 0.53-1.05). After adjusting for body mass index (BMI) and family history of diabetes, the estimated effect of maternal education on GDM were 0.68 (95% CI: 0.57-0.80) and 0.75 (95% CI: 0.60-0.92), respectively.Conclusions: Our results indicate that there is no significant association between maternal education level and risk of GDM.

The effect of prepregnancy body mass index on the risk of gestational diabetes mellitus: A systematic review and dose-response meta-analysis

This study was conducted to investigate the effect of the prepregnancy BMI on the risk of gestational diabetes mellitus (GDM). Five electronic databases, including PubMed, Scopus, Embase, Web of Science, and Google Scholar, were searched for literature published until 1 January 2018. The two-stage, random effect meta-analysis was performed to compare the dose-response relationship between BMI and GDM. As well as studies with categorized BMI, studies that treat BMI as a continuous variable were analysed. A total of 33 observational studies with an overall sample size of 962 966 women and 42 211 patients with GDM were included in analysis. The pooled estimate of GDM risk in the underweight, overweight, and obese pregnant women was 0.68, 2.01, and 3.98 using the adjusted OR and 0.34, 1.52, and 2.24 using the adjusted RR. The GDM risk increased 4% per unit of increase in BMI with both the crude and adjusted OR/RR models. Also, the risk of GDM increased 19% with the crude model and 14% with the adjusted model. The existence of dose-response relationship between the pre-pregnancy BMI and GDM can strengthen the scientific background for vigorous public health interventions for the control of pre-pregnancy BMI as well as the weight gain during pregnancy.

The impact of diagnostic criteria for gestational diabetes on its prevalence: a systematic review and meta-analysis

BACKGROUND

The absence of universal gold standards for screening of gestational diabetes (GDM) has led to heterogeneity in the identification of GDM, thereby impacting the accurate estimation of the prevalence of GDM. We aimed to evaluate the effect of different diagnostic criteria for GDM on its prevalence among general populations of pregnant women worldwide, and also to investigate the prevalence of GDM based on various geographic regions.

METHODS

A comprehensive literature search was performed in PubMed, Scopus and Google-scholar databases for retrieving articles in English investigating the prevalence of GDM. All populations were classified to seven groups based-on their diagnostic criteria for GDM. Heterogeneous and non-heterogeneous results were analyzed using the fixed effect and random-effects inverse variance model for calculating the pooled effect. Publication bias was assessed by Begg's test. The Meta-prop method was used for the pooled estimation of the prevalence of GDM. Meta-regression was conducted to explore the association between prevalence of GDM and its diagnostic criteria. Modified Newcastle-Ottawa Quality Assessment Scale for nonrandomized studies was used for quality assessment of the studies included; the ROBINS and the Cochrane Collaboration's risk of bias assessment tools were used to evaluate the risk of bias.

RESULTS

We used data from 51 population-based studies, i.e. a study population of 5,349,476 pregnant women. Worldwide, the pooled overall-prevalence of GDM, regardless of type of screening threshold categories was 4.4%, (95% CI 4.3-4.4%). The pooled overall prevalence of GDM in the diagnostic threshold used in IADPSG criteria was 10.6% (95% CI 10.5-10.6%), which was the highest pooled prevalence of GDM among studies included. Meta-regression showed that the prevalence of GDM among studies that used the IADPSG criteria was significantly higher (6-11 fold) than other subgroups. The highest and lowest prevalence of GDM, regardless of screening criteria were reported in East-Asia and Australia (Pooled-P = 11.4%, 95% CI 11.1-11.7%) and (Pooled-P = 3.6%, 95% CI 3.6-3.7%), respectively.

CONCLUSION

Over the past quarter century, the diagnosis of gestational diabetes has been changed several times; along with worldwide increasing trend of obesity and diabetes, reducing the threshold of GDM is associated with a significant increase in the incidence of GDM. The harm and benefit of reducing the threshold of diagnostic criteria on pregnancy outcomes, women's psychological aspects, and health costs should be evaluated precisely.

Risk factors of gestational diabetes mellitus using results of a prospective population-based study in Iranian pregnant women

AIMS

Early identification of at-risk groups is an important step in preventing gestational diabetes and its subsequent side effects. This study aimed to evaluate the risk factors of gestational diabetes based on the International Association of Diabetes and Pregnancy Study Groups criteria in Ahvaz.

MATERIAL AND METHODS

In a cross-sectional case control study, 520 pregnant women involving life after gestational diabetes Ahvaz cohort study (LAGAs) were investigated for risk factors of gestational diabetes mellitus.

RESULT

The prevalence of overweight and obesity were 40% and25.8% in the GMD group and in 35.8% and 16.2% in the control group respectively (p = 0.002). According to NCEP-ATP III criteria, 16.9% of women with GDM and 6.9% of mothers in the control group had metabolic syndrome in first visit of pregnancy (p < 0.001. Logistic regression showed that there is a significant relationship between maternal age[OR = 1.05(95% CI, 1.01-1.10)] (p = 0.01), previous GDM [OR = 5.60(95% CI, 2.21-14.18)] (p = 0.001), positive family history of diabetes[OR = 1.86(95% CI, 1.19-2.94)] (p = 0.006), pre-pregnancy BMI [OR = 1.05(95% CI, 1.007-1.11)] (p = 0.04) and metabolic syndrome in first visit of pregnancy[OR = 2.34 (95% CI, 1.038-5.30)] (p = 0.04) with GDM.

CONCLUSION

Factors including maternal age, previous GDM, family history of diabetes, pre-pregnancy BMI reported in previous studies around the world. A significant association between metabolic syndrome in the first visit of pregnancy and GDM is novel finding of this study. Therefore screening of pre-pregnancy metabolic syndrome in women at risk of gestational diabetes is recommended.

Proinsulin in the identification and risk stratification of gestational diabetes mellitus: study protocol for a prospective, longitudinal cohort study

INTRODUCTION

Gestational diabetes mellitus (GDM) is a common metabolic disorder occurring in up to 10% of pregnancies in the western world. Most women with GDM are asymptomatic; therefore, it is important to screen, diagnose and manage the condition as it is associated with an increased risk of maternal and perinatal complications. Diagnosis of GDM is made in the late second trimester or early third trimester because accurate diagnosis or risk stratification in the first trimester is still lacking. An increase in serum proinsulin may be seen earlier in pregnancy and before a change in glycaemic control can be identified. This study will aim to establish if fasting proinsulin concentrations at 16-18 weeks gestation will help to identify or risk stratify high-risk pregnant women with GDM.

METHODS AND ANALYSIS

This is a prospective, longitudinal cohort study. Two oral glucose tolerance tests will be carried out at 16-18 and 24-28 weeks gestation in 200 pregnant women with at least one risk factor for GDM (body mass index>30 kg/m², previous macrosomic baby (>4.5 kg), previous gestational diabetes, first degree relative with type 2 diabetes mellitus) recruited from antenatal clinics. Blood samples will be taken fasting and at 30 min, 1 and 2 hours following the 75 g glucose load. In addition, a fasting blood sample will be taken 6-weeks post delivery. All samples will be analysed for glucose, insulin, C peptide and proinsulin. Recruitment began in November 2017. Optimal cut-off points for proinsulin to diagnose gestational diabetes according to National Institute for Health and Care Excellence (2015) criteria will be established by the receiver operating characteristic plot and sensitivity and specificity will be calculated to assess the diagnostic accuracy of proinsulin at 16-18 weeks gestation.

ETHICS AND DISSEMINATION

This study received ethical approval from the Wales Research Ethics Committee (Panel 6) (Ref. 17/WA/0194). Data will be presented at international conferences and published in peer-reviewed journals.

TRIAL REGISTRATION NUMBER

ISRCTN16416602; Pre-results.

Pharmacotherapy for gestational diabetes

INTRODUCTION

Gestational diabetes mellitus (GDM) represents impaired carbohydrate metabolism during pregnancy and is characterized by progressive insulin resistance and compensatory hyperinsulinaemia. If inadequately treated, it may lead to fetal macrosomia and other adverse outcomes.

AREAS COVERED

In this review, the authors summarize the current evidence from studies on the use of insulin and other agents for the treatment of women with GDM.

EXPERT OPINION

Lifestyle management is of paramount importance for the treatment of GDM. In pharmacotherapy, insulin remains the long-established mainstay of treatment. NPH (Neutral Protamine Hagedorn) and soluble human insulin have long been established for use, but favorable experience has now also accumulated with the newer insulins (aspart, lispro, detemir). Alternatively, metformin and glyburide have been used in GDM, but they have never gained wide acceptance. Nutritional supplements based on micronutrients and bioactives (probiotics and myoinositol) have shown promising results as well. Further experience with incretin agents (DPP-4 inhibitors and GLP-1 receptor agonists) is awaited.

The Impact of Prepregnancy Body Mass Index and Gestational Weight Gain on Perinatal Outcomes for Women With Gestational Diabetes Mellitus

BACKGROUND

Gestational diabetes mellitus (GDM), an obstetric disease that affects the health of pregnant women, is one of the key factors associated with perinatal mortality or disease.

AIMS

To explore the impact of prepregnancy body mass index (BMI) and gestational weight gain (GWG) on perinatal outcomes for women with GDM.

METHODS

With a retrospective study design, women were recruited who received prenatal checkups, gave birth at two teaching hospitals in southern Taiwan from 1995 to 2011, and received a diagnosis of GDM by an obstetrician. A trained research assistant collected the participants' data in each hospital's archives room. The researcher used a retrospective case study method to identify women who received a GDM diagnosis between 1995 and 2011.

RESULTS

Women with GDM and with an overweight prepregnancy BMI were more likely to have cesarean deliveries and to use glucose-lowering medicines after delivery. Their newborns also had a higher birth weight. In addition, gestational hypertension and cesarean delivery were more common in women with GDM and with excessive GWG than in women with GDM and with normal GWG. The newborns of women with GDM and with excessive GWG had higher birth weights and more nuchal cord than those of women with GDM and with normal GWG. More women with GDM and with excessive GWG underwent blood glucose monitoring than did women with GDM and with normal GWG.

LINKING EVIDENCE TO ACTION

The prepregnancy weight and GWG significantly affected perinatal outcomes in both the women with GDM themselves and their newborns. Healthcare professionals must provide childbearing women with additional health education in the areas of health promotion, nutrition, weight control, exercise, and maintaining regular everyday lives.

Maternal Exposure to Air Pollutants and Risk of Gestational Diabetes Mellitus in Taiwan

Mounting evidence has shown an increased risk of gestational diabetes mellitus (GDM) in association with elevated exposure to air pollution. However, limited evidence is available concerning the effect of specific air pollutant(s) on GDM incidence. We conducted this case-control study on 6717 mothers with GDM diagnosed in 2006–2013 and 6717 age- and year of delivery-matched controls to further address the risk of GDM in relation to specific air pollutant. Both cases and controls were selected from a cohort of 1-million beneficiaries of Taiwan’s National Health Insurance program registered in 2005. Maternal exposures to mean daily air pollutant concentration, derived from 76 fixed air quality monitoring stations within the 12-week period prior to pregnancy and during the 1st and 2nd trimesters, were assessed by the spatial analyst method (i.e., ordinary kriging) with the ArcGIS software. After controlling for potential confounders and other air pollutants, an increase in pre-pregnancy exposure of 1 inter-quartile range (IQR) for PM_2.5 and SO₂ was found to associate with a significantly elevated odds ratio (OR) of GDM at 1.10 (95% confidence interval (CI) 1.03–1.18 and 1.37 (95% CI 1.30–1.45), respectively. Exposures to PM_2.5 and SO₂ during the 1st and 2nd trimesters were also associated with significantly increased ORs, which were 1.09 (95% CI 1.02–1.17) and 1.07 (95% CI 1.01–1.14) for PM_2.5, and 1.37 (95% CI 1.30–1.45) and 1.38 (95% CI 1.31–1.46) for SO₂. It was concluded that higher pre- and post-pregnancy exposures to PM_2.5 and SO₂ for mothers were associated with a significantly but modestly elevated risk of GDM.

Diabetes risk in women with gestational diabetes mellitus and a history of polycystic ovary syndrome: a retrospective cohort study

AIMS

To investigate whether polycystic ovary syndrome further increases postpartum diabetes risk in women with gestational diabetes mellitus and to explore relationships between polycystic ovary syndrome and incident diabetes in women who do not develop gestational diabetes.

METHODS

This retrospective cohort study (Quebec Physician Services Claims; Hospitalization Discharge Databases; Birth and Death registries) included 34 686 women with gestational diabetes during pregnancy (live birth), matched 1:1 to women without gestational diabetes by age group, year of delivery and health region. Diagnostic codes were used to define polycystic ovary syndrome and incident diabetes. Cox regression models were used to examine associations between polycystic ovary syndrome and incident diabetes.

RESULTS

Polycystic ovary syndrome was present in 1.5% of women with gestational diabetes and 1.2% of women without gestational diabetes. There were more younger mothers and mothers who were not of white European ancestry among those with polycystic ovary syndrome. Those with polycystic ovary syndrome more often had a comorbidity and a lower proportion had a previous pregnancy. Polycystic ovary syndrome was associated with incident diabetes (hazard ratio 1.52; 95% CI 1.27, 1.82) among women with gestational diabetes. No conclusive associations between polycystic ovary syndrome and diabetes were identified (hazard ratio 0.94; 95% CI 0.39, 2.27) in women without gestational diabetes.

CONCLUSION

In women with gestational diabetes, polycystic ovary syndrome confers additional risk for incident diabetes postpartum. In women without gestational diabetes, an association between PCOS and incident diabetes was not observed. Given the already elevated risk of diabetes in women with a history of gestational diabetes, a history of both polycystic ovary syndrome and gestational diabetes signal a critical need for diabetes surveillance and prevention.

Serum chemerin level during the first trimester of pregnancy and the risk of gestational diabetes mellitus

OBJECTIVE

To investigate the association between chemerin level in the first trimester of pregnancy and the risk of gestational diabetes mellitus.

METHODS

The blood samples of 212 women at 8-12 weeks of gestation were collected. After screening for gestational diabetes mellitus (GDM), 19 women with GDM and 20 women randomly selected from 144 women with normal glucose tolerance (NGT) were included in the study. Blood samples were collected from these women. Triglycerides, glucose, total cholesterol, and HDL cholesterol, LDL cholesterol, insulin and chemerin were measured. Gestational weight gain and body mass index was assessed.

RESULTS

Serum levels of chemerin were significantly elevated during late gestation, and the risk of GDM was positively associated with maternal serum chemerin in the first trimester.

CONCLUSION

Serum chemerin level during the first trimester of pregnancy has the potential to predict risk of GDM.