Association of DPP-4 Concentrations with the Occurrence of Gestational Diabetes Mellitus and Excessive Gestational Weight Gain

Gestational diabetes mellitus (GDM) is considered one of the most common diseases that occur during pregnancy. In addition to increasing the risk of numerous complications throughout gestation, it is also believed to have a long-term potential to impact the risk of developing type 2 diabetes mellitus (T2DM) and cardiovascular disease for the mother and her offspring. While there are clear guidelines for healthy weight gain in pregnancy depending on pre-pregnancy BMI, as well as dietary and training recommendations to achieve this, an increasing number of women are experiencing excessive gestational weight gain (EGWG). Such patients have a higher risk of developing GDM and gestational hypertension, as well as requiring caesarian delivery. Dipeptidyl peptidase-4 (DPP-4) is a glycoprotein that seems to play an important role in glucose metabolism, and inhibition of its activity positively affects glucose regulation. The aim of our study was to compare DPP-4 concentrations in patients with GDM and EGWG with healthy women. DPP-4 levels were assessed in serum and urine samples collected on the day of delivery. The bioelectrical impedance analysis (BIA) method was also used to analyze the body composition of patients on the second day of the postpartum period. DPP-4 serum concentrations were significantly higher in patients in the GDM and EGWG groups compared to healthy women. Urinary DPP-4 concentrations were significantly higher in the control and GDM groups than in the EGWG group. Serum DPP-4 levels were positively correlated with BMI measured before pregnancy, on the delivery day, and in the early postpartum period, among other factors. According to our knowledge, this is the first study to determine DPP-4 levels in EGWG patients. DPP-4 may be related to the occurrence of GDM and EGWG; however, this requires further research.

Serum folate mediates the associations of MTHFR rs1801133 polymorphism with blood glucose levels and gestational diabetes mellitus in Chinese Han pregnant women

This study aimed to explore the mediation effects of one-carbon metabolism (OCM) related nutrients on the association between MTHFR rs1801133 polymorphism and gestational diabetes mellitus (GDM). Folate, vitamin B12 and homocysteine (Hcy) were measured in the serum of 1254 pregnant women. Linear and logistic regressions were used to estimate the associations of OCM nutrients and MTHFR rs1801133 polymorphism with blood glucose levels and GDM risk. Mediation analysis was applied to test the mediation effects of folate, vitamin B12 and Hcy on the association of MTHFR rs1801133 polymorphism with blood glucose concentrations and GDM. Pregnant women with MTHFR rs1801133 CC genotype had higher serum folate (10·75 v. 8·90 and 9·40 ng/ml) and lower serum Hcy (4·84 v. 4·93 and 5·20 μmol/l) than those with CT and TT genotypes. Folate concentrations were positively associated with fasting plasma glucose (FPG), 1-h plasma glucose (1-h PG), 2-h plasma glucose (2-h PG) and GDM risk. Vitamin B12 levels were negatively correlated with FPG and GDM. Although no direct association was found between MTHFR rs1801133 genotypes and GDM, there were significant indirect effects of MTHFR rs1801133 CC genotype on FPG (β: 0·005; 95 % CI: 0·001, 0·013), 1-h PG (β: 0·006; 95 % CI: 0·001, 0·014), 2-h PG (β: 0·007; 95 % CI: 0·001, 0·015) and GDM (β: 0·006; 95 % CI: 0·001, 0·014) via folate. In conclusion, serum folate mediates the effect of MTHFR rs1801133 on blood glucose levels and GDM. Our findings potentially provide a feasible GDM prevention strategy via individualised folate supplementation according to the MTHFR genotypes.

Adropin as a potential protective factor of metabolic complications in obese pregnant women with hyperglycaemia diagnosed in early pregnancy

Adropin is a hormone which increases insulin sensitivity. It enhances the oxygenation of glucose in the muscles. The 91 obese pregnant women (BMI >30 kg/m²) with gestational diabetes mellitus (GDM) diagnosed in the first half of pregnancy has been recruited to the study group. The control group consisted of 10 age matched and homogeneous pregnant women with BMI <25 kg/m². Blood samples were collected on visit V1 - between the 28^th and 32^nd week and on visit V2 - between the 37^th and 39^th week of gestation. The ELISA test was used to measure the adropin level. The results in the study group and the control group were compared. Blood samples were collected at the same visits. The median concentration of adropin was 442.2 pg/ml on V1 and 453.1 pg/ml on V2. The increase was significant (p<0.05). Results were significantly lower in the control group's patients, i.e. 57.0 pg/ml (p<0.001) on V1 and 107.9 pg/ml on V2 (p<0.001). The higher adropin level on the V1 and V2 visits were related to patients' lower BMI and better metabolic control. The increase in the adropin level in the third trimester may have been involved in the weight gain reduction, whereas better dietary adherence might have had a compensatory effect on increasing insulin resistance. However, the small control group is a limitation of this study.

Lower versus Higher Glycemic Criteria for Diagnosis of Gestational Diabetes

BACKGROUND

Treatment of gestational diabetes improves maternal and infant health, although diagnostic criteria remain unclear.

METHODS

We randomly assigned women at 24 to 32 weeks' gestation in a 1:1 ratio to be evaluated for gestational diabetes with the use of lower or higher glycemic criteria for diagnosis. The lower glycemic criterion was a fasting plasma glucose level of at least 92 mg per deciliter (≥5.1 mmol per liter), a 1-hour level of at least 180 mg per deciliter (≥10.0 mmol per liter), or a 2-hour level of at least 153 mg per deciliter (≥8.5 mmol per liter). The higher glycemic criterion was a fasting plasma glucose level of at least 99 mg per deciliter (≥5.5 mmol per liter) or a 2-hour level of at least 162 mg per deciliter (≥9.0 mmol per liter). The primary outcome was the birth of an infant who was large for gestational age (defined as a birth weight above the 90th percentile according to Fenton-World Health Organization standards). Secondary outcomes were maternal and infant health.

RESULTS

A total of 4061 women underwent randomization. Gestational diabetes was diagnosed in 310 of 2022 women (15.3%) in the lower-glycemic-criteria group and in 124 of 2039 women (6.1%) in the higher-glycemic-criteria group. Among 2019 infants born to women in the lower-glycemic-criteria group, 178 (8.8%) were large for gestational age, and among 2031 infants born to women in the higher-glycemic-criteria group, 181 (8.9%) were large for gestational age (adjusted relative risk, 0.98; 95% confidence interval, 0.80 to 1.19; P = 0.82). Induction of labor, use of health services, use of pharmacologic agents, and neonatal hypoglycemia were more common in the lower-glycemic-criteria group than in the higher-glycemic-criteria group. The results for the other secondary outcomes were similar in the two trial groups, and there were no substantial between-group differences in adverse events. Among the women in both groups who had glucose test results that fell between the lower and higher glycemic criteria, those who were treated for gestational diabetes (195 women), as compared with those who were not (178 women), had maternal and infant health benefits, including fewer large-for-gestational-age infants.

CONCLUSIONS

The use of lower glycemic criteria for the diagnosis of gestational diabetes did not result in a lower risk of a large-for-gestational-age infant than the use of higher glycemic criteria. (Funded by the Health Research Council of New Zealand and others; GEMS Australian New Zealand Clinical Trials Registry number, ACTRN12615000290594.).

Study of serum miR-518 and its correlation with inflammatory factors in patients with gestational diabetes mellitus complicated with hypertensive disorder complicating pregnancy

OBJECTIVE

Gestational diabetes mellitus (GDM) and hypertensive disorder complicating pregnancy (HDCP) are common complications during pregnancy. This study estimated the correlation of serum miR-518 and inflammatory factors in GDM complicated with HDCP patients (GDM&HDCP).

METHODS

Total 240 pregnant women were enrolled, including 118 cases with GDM alone, 57 cases with GDM&HDCP, and 65 healthy pregnant women. The expressions of serum miR-518 and PPARα were detected by RT-qPCR. The clinical diagnostic efficacy of miR-518 for GDM and GDM&HDCP was analyzed via ROC curve. Pearson coefficient was used to analyze the correlation between miR-518 and serum inflammatory factors (hs-CRP, IL-6, and TNF-α), and the relevance between peroxisome proliferator-activated receptor α (PPARα) and serum inflammatory factors. The targeted binding of miR-518 and PPARα was verified using dual-luciferase assay.

RESULTS

Serum miR-518 was highly-expressed in GDM and GDM&HDCP patients, but far higher in GDM&HDCP patients. Serum miR-518 level > 1.815 could assist the diagnosis of GDM (81.53% sensitivity and 100% specificity). Serum miR-518 expression was positively-correlated with serum inflammatory factors. miR-518 targeted PPARα and PPARα was lowly-expressed in the serum of GDM and GDM&HDCP patients. PPARα was negatively-linked with serum inflammatory factors.

CONCLUSION

High expression of miR-518 assists the diagnosis of GDM and GDM&HDCP, and miR-518 regulates the serum inflammatory factors by inhibiting PPARα.

The effect of bedtime snacks on fasting blood glucose levels in gestational diabetes mellitus

AIM

To investigate the effect of different bedtime snacks (higher carbohydrate versus lower carbohydrate versus no snack) on first morning fasting blood glucose levels (BGLs) in women with diet-controlled gestational diabetes mellitus (GDM) and borderline fasting glucose levels.

METHODS

This prospective randomised crossover trial enrolled women with diet controlled GDM between 24 and 34 weeks gestation who had two or more first morning fasting BGLs between 4.7 and 5.4 mmol/L in the week prior to recruitment. The women were randomly allocated to 6 different orders of 5 days each of a standardised higher carbohydrate bedtime snack, a lower carbohydrate bedtime snack and no bedtime snack. The primary outcome was fasting capillary BGL as measured with a home glucometer, and the secondary outcome was requirement for insulin as assessed by a physician.

RESULTS

A total of 68 women with GDM were enrolled in and completed the study at a median gestation of 30.8 weeks. Compared with no bedtime snack, the higher carbohydrate snack (4.96 vs 4.87 mmol/L, mean difference: 0.09 mmol/L, 95% CI 0.05-0.13, p < 0.001) and the lower carbohydrate snack (5.01 vs 4.87 mmol/L, mean difference: 0.14 mmol/L, 95% CI 0.09-0.18, p < 0.001) were both associated with a slightly higher fasting BGL the following morning.

CONCLUSIONS

Taking a bedtime snack was associated with slightly higher fasting BGLs in women with diet-controlled GDM compared with no bedtime snack (Clinical trial registration: ACTRN12617000659303).

Dichotomy in the Impact of Elevated Maternal Glucose Levels on Neonatal Epigenome

CONTEXT

Antenatal hyperglycemia is associated with increased risk of future adverse health outcomes in both mother and child. Variations in offspring's epigenome can reflect the impact and response to in utero glycemic exposure, and may have different consequences for the child.

OBJECTIVE

We examined possible differences in associations of basal glucose status and glucose handling during pregnancy with both clinical covariates and offspring cord tissue DNA methylation.

RESEARCH DESIGN AND METHODS

This study included 830 mother-offspring dyads from the Growing Up in Singapore Towards Healthy Outcomes cohort. The fetal epigenome of umbilical cord tissue was profiled using Illumina HumanMethylation450 arrays. Associations of maternal mid-pregnancy fasting (fasting plasma glucose [FPG]) and 2-hour plasma glucose (2hPG) after a 75-g oral glucose challenge with both maternal clinical phenotypes and offspring epigenome at delivery were investigated separately.

RESULTS

Maternal age, prepregnancy body mass index, and blood pressure measures were associated with both FPG and 2hPG, whereas Chinese ethnicity (P = 1.9 × 10-4), maternal height (P = 1.1 × 10-4), pregnancy weight gain (P = 2.2 × 10-3), prepregnancy alcohol consumption (P = 4.6 × 10-4), and tobacco exposure (P = 1.9 × 10-3) showed significantly opposite associations between the 2 glucose measures. Most importantly, we observed a dichotomy in the effects of these glycemic indices on the offspring epigenome. Offspring born to mothers with elevated 2hPG showed global hypomethylation. CpGs most associated with the 2 measures also reflected differences in gene ontologies and had different associations with offspring birthweight.

CONCLUSIONS

Our findings suggest that 2 traditionally used glycemic indices for diagnosing gestational diabetes may reflect distinctive pathophysiologies in pregnancy, and have differential impacts on the offspring's DNA methylome.

16S rRNA gene amplicon sequencing of gut microbiota in gestational diabetes mellitus and their correlation with disease risk factors

PURPOSE

Although the gut microbiota (GM) are associated with various diseases, their role in gestational diabetes mellitus (GDM) remains uncharacterized. Further study is urgently needed to expose the real relationship between GM and GDM.

METHODS

We performed a prospective study in 33 pregnant Chinese individuals [15, GDM; 18, normal glucose tolerance (NGT)] to observe the fecal microbiota by 16S rRNA gene amplicon sequencing at 24-28 weeks of gestational age after a standard 75 g oral glucose tolerance test. Linear regression analysis was employed to assess the relationships between the GM and GDM clinical parameters.

RESULTS

Sequencing showed no difference in the microbiota alpha diversity but a significant difference in the beta diversity between the GDM and NGT groups, with the relative abundances of Ruminococcus bromii, Clostridium colinum, and Streptococcus infantis being higher in the GDM group (P < 0.05). The quantitative PCR results validated the putative bacterial markers of R. bromii and S. infantis. Moreover, a strong positive correlation was found between S. infantis and blood glucose levels after adjusting for body mass index (P < 0.05).

CONCLUSION

Three abnormally expressed intestinal bacteria (R. bromii, C. colinum, and S. infantis) were identified in GDM patients. S. infantis may confer an increased risk of GDM. Hence, the GM may serve as a potential therapeutic target for GDM.

Omentin-1 and its relationship with inflammatory factors in maternal plasma and visceral adipose tissue of women with gestational diabetes mellitus

PURPOSE

To investigate the association of omentin-1 and inflammatory factors in serum and visceral adipose tissue (VAT) of women with gestational diabetes mellitus (GDM) compared to normal pregnant (NP) subjects. Furthermore, to examine their correlation with maternal clinical characteristics.

METHODS

We compared 116 GDM women to 115 NP women, at the time of cesarean section. Circulating omentin-1 and pro-inflammatory (IL-1β, IL-6, TNF-α), and anti-inflammatory cytokines (IL-1RA, IL-10) were examined. Moreover, their mRNA expression in VAT, along with inflammatory factors involved in the NF-κB pathway (TLR2, TLR4, NF-κB, IKκB), were examined.

RESULTS

Circulating omentin-1 (p = 0.022) was lower and circulating IL-1-β, IL-1RA, as well as IL-10 (p = 0.005, p = 0.007, and p = 0.015, respectively), were higher in GDM compared to NP women. Omentin-1 correlated negatively with pre-pregnancy and gestational BMI, and HOMA-IR in all women, but was not associated with cytokines. TLR2, TLR4, IL-1β, IL-1RA, IL-6, IL-10 mRNA expression in VAT was lower in GDM compared with controls (p < 0.05 all). In multivariate analysis, BMI at delivery was significantly correlated to omentin-1 concentrations in all and NP subjects. In addition, omentin-1 expression was correlated to inflammatory gene expression in all, GDM and NP, women (p < 0.05 all).

CONCLUSION

Serum levels and VAT gene expression of omentin-1 are not independently linked to GDM; notwithstanding, GDM women have a VAT-altered inflammatory status. In addition, no systemic association between omentin-1 and inflammatory factors was found, whereas associations between their expression in all women were observed, indicating that expression of these adipokines is linked between them regardless of GDM.

Physiological subtypes of gestational glucose intolerance and risk of adverse pregnancy outcomes

BACKGROUND

Women with gestational glucose intolerance, defined as an abnormal initial gestational diabetes mellitus screening test, are at risk of adverse pregnancy outcomes even if they do not have gestational diabetes mellitus. Previously, we defined the physiological subtypes of gestational diabetes mellitus based on the primary underlying physiology leading to hyperglycemia and found that women with different subtypes had differential risks of adverse outcomes. Physiological subclassification has not yet been applied to women with gestational glucose intolerance.

OBJECTIVE

We defined the physiological subtypes of gestational glucose intolerance based on the presence of insulin resistance, insulin deficiency, or mixed pathophysiology and aimed to determine whether these subtypes are at differential risks of adverse outcomes. We hypothesized that women with the insulin-resistant subtype of gestational glucose intolerance would have the greatest risk of adverse pregnancy outcomes.

STUDY DESIGN

In a hospital-based cohort study, we studied women with gestational glucose intolerance (glucose loading test 1-hour glucose, ≥140 mg/dL; n=236) and normal glucose tolerance (glucose loading test 1-hour glucose, <140 mg/dL; n=1472). We applied homeostasis model assessment to fasting glucose and insulin levels at 16 to 20 weeks' gestation to assess insulin resistance and deficiency and used these measures to classify women with gestational glucose intolerance into subtypes. We compared odds of adverse outcomes (large for gestational age birthweight, neonatal intensive care unit admission, pregnancy-related hypertension, and cesarean delivery) in each subtype to odds in women with normal glucose tolerance using logistic regression with adjustment for age, race and ethnicity, marital status, and body mass index.

RESULTS

Of women with gestational glucose intolerance (12% with gestational diabetes mellitus), 115 (49%) had the insulin-resistant subtype, 70 (27%) had the insulin-deficient subtype, 40 (17%) had the mixed pathophysiology subtype, and 11 (5%) were uncategorized. We found increased odds of large for gestational age birthweight (primary outcome) in women with the insulin-resistant subtype compared with women with normal glucose tolerance (odds ratio, 2.35; 95% confidence interval, 1.43-3.88; P=.001; adjusted odds ratio, 1.74; 95% confidence interval, 1.02-3.48; P=.04). The odds of large for gestational age birthweight in women with the insulin-deficient subtype were increased only after adjustment for covariates (odds ratio, 1.69; 95% confidence interval, 0.84-3.38; P=.14; adjusted odds ratio, 2.05; 95% confidence interval, 1.01-4.19; P=.048). Among secondary outcomes, there was a trend toward increased odds of neonatal intensive care unit admission in the insulin-resistant subtype in an unadjusted model (odds ratio, 2.09; 95% confidence interval, 0.99-4.40; P=.05); this finding was driven by an increased risk of neonatal intensive care unit admission in women with the insulin-resistant subtype and a body mass index of <25 kg/m². Infants of women with other subtypes did not have increased odds of neonatal intensive care unit admission. The odds of pregnancy-related hypertension in women with the insulin-resistant subtype were increased (odds ratio, 2.09; 95% confidence interval, 1.31-3.33; P=.002; adjusted odds ratio, 1.77; 95% confidence interval, 1.07-2.92; P=.03) compared with women with normal glucose tolerance; other subtypes did not have increased odds of pregnancy-related hypertension. There was no difference in cesarean delivery rates in nulliparous women across subtypes.

CONCLUSION

Insulin-resistant gestational glucose intolerance is a high-risk subtype for adverse pregnancy outcomes. Delineating physiological subtypes may provide opportunities for a more personalized approach to gestational glucose intolerance.

Rate of Gestational Weight Gain and Glucose-Insulin Metabolism Among Hispanic Pregnant Women With Overweight and Obesity

CONTEXT

Hispanic women are at elevated risk of gestational glucose intolerance and postpartum type 2 diabetes compared with non-Hispanic White women. Identification of potentially modifiable factors contributing to this trajectory of beta-cell dysfunction is warranted.

OBJECTIVE

We aimed to determine the association between rate of gestational weight gain (rGWG) and glucose-insulin metabolism in Hispanic pregnant women with overweight and obesity.

METHODS

This cross-sectional, observational study, conducted from 2018-2020 at the clinical research center at University of California, Irvine, included 33 nondiabetic Hispanic pregnant women at 28 to 30 weeks' gestation with pre-pregnancy body mass index (BMI) 25.0 to 34.9 kg/m2. Participants consumed a standardized liquid mixed meal after an overnight fast. Serial blood samples were collected at fasting and up to 2 hours postprandial. The glucose and insulin area under the curve (AUC), insulin sensitivity index (ISI) and insulin secretion sensitivity index (ISSI)-2 were computed.

RESULTS

Average rGWG (0.36 ± 0.22 kg/week) was classified as excessive in 60% of women. While rGWG was not associated with the glucose or insulin AUC or ISI, it accounted for 13.4% of the variance in ISSI-2 after controlling for covariates (maternal age, parity, and pre-pregnancy BMI); for each 1 unit increase in rGWG, ISSI-2 decreased 2.1 units (P = 0.015).

CONCLUSION

Even in the absence of gestational diabetes, rGWG was inversely associated with beta-cell function in a high-risk population of Hispanic pregnant women with overweight and obesity. Beta-cell decline is an established risk factor for transition to type 2 diabetes, and these cross-sectional findings highlight rGWG as a potentially modifiable contributor to this process.

Does a high dietary intake of resistant starch affect glycaemic control and alter the gut microbiome in women with gestational diabetes? A randomised control trial protocol

BACKGROUND

Gestational Diabetes Mellitus (GDM) is prevalent with lasting health implications for the mother and offspring. Medical nutrition therapy is the foundation of GDM management yet achieving optimal glycaemic control often requires treatment with medications, like insulin. New dietary strategies to improve GDM management and outcomes are required. Gut dysbiosis is a feature of GDM pregnancies, therefore, dietary manipulation of the gut microbiota may offer a new avenue for management. Resistant starch is a fermentable dietary fibre known to alter the gut microbiota and enhance production of short-chain fatty acids. Evidence suggests that short-chain fatty acids improve glycaemia via multiple mechanisms, however, this has not been evaluated in GDM.

METHODS

An open-label, parallel-group design study will investigate whether a high dietary resistant starch intake or resistant starch supplement improves glycaemic control and changes the gut microbiome compared with standard dietary advice in women with newly diagnosed GDM. Ninety women will be randomised to one of three groups - standard dietary treatment for GDM (Control), a high resistant starch diet or a high resistant starch diet plus a 16 g resistant starch supplement. Measurements taken at Baseline (24 to 30-weeks' gestation), Day 10 and Day 56 (approximately 36 weeks' gestation) will include fasting plasma glucose levels, microbial composition and short-chain fatty acid concentrations in stool, 3-day dietary intake records and bowel symptoms questionnaires. One-week post-natal data collection will include microbial composition and short-chain fatty acid concentrations of maternal and neonatal stools, microbial composition of breastmilk, birthweight, maternal and neonatal outcomes. Mixed model analysis of variance will assess change in glycaemia and permutation-based multivariate analysis of variance will assess changes in microbial composition within and between intervention groups. Distance-based linear modelling will identify correlation between change in stool microbiota, short-chain fatty acids and measures of glycaemia.

DISCUSSION

To improve outcomes for GDM dyads, evaluation of a high dietary intake of resistant starch to improve glycaemia through the gut microbiome needs to be established. This will expand the dietary interventions available to manage GDM without medication.

TRIAL REGISTRATION

Australian New Zealand Clinical Trial Registry, ACTRN12620000968976p . Registered 28 September 2020.

Study on the Effects of Individualized Nutritional Intervention on Pregnancy Outcome and Neonatal Immune Function in Patients with Gestational Diabetes Mellitus

OBJECTIVE

To study the effects of individualized nutritional intervention on pregnancy outcome and neonatal immune function in patients with gestational diabetes mellitus (GDM).

METHODS

A retrospective analysis was conducted on 100 GDM patients from the obstetrics and gynecology department of our institute between February 2019 and February 2020. The patients were allocated into the control group given regular intervention and the experimental group given individualized nutritional intervention according to different intervention measures, with 50 cases in each group. The comparison was carried out for patients in the two groups with regard to their modality of delivery, neonatal health, their plasma glucose in fasting state, 2 h after eating, and before bedtime; glycohemoglobin at 8 months of pregnancy, at 9 months of pregnancy, during labor, and 1 month after delivery; their complications; and neonatal CD3+, CD4+, and CD8+ levels.

RESULTS

The experimental group outperformed the control group in terms of the spontaneous delivery rate, the number of healthy neonates, and neonatal CD3+, CD4+, and CD8+ levels (P < 0.05). The plasma glucose in fasting state, 2 h after eating, and before bedtime; the glycohemoglobin at 8 months of pregnancy, at 9 months of pregnancy, during labor, and 1 month after delivery; and the incidence of complications of the experimental group were significantly lower than those of the control group (P < 0.05).

CONCLUSION

Individualized nutritional intervention increases the rate of spontaneous delivery in GDM patients, enhances neonatal immune function, stabilizes plasma glucose, and reduces complications.

Impacts of lipopolysaccharide on fetal lung developmental maturity and surfactant protein B and surfactant protein C protein expression in gestational diabetes mellitus rats

The rise of bioinformatics based on computer medicine provides a new method to reveal the complex biological data. This experiment is to explore the impacts of lipopolysaccharide on fetal lung developmental maturity and expressions of lung surfactant protein B (SP-B) and lung surfactant protein C (SP-C) in rats with gestational diabetes mellitus (GDM), thereby discussing the mechanism of developmental disorders in rats. Forty-eight conceived female rats were experimental subjects. Twenty-eight rats were randomly selected to construct the GDM models. All conceived rats underwent section on the 21st day of pregnancy. The ultrastructure of alveolar type II epithelial cells and the morphology of lung tissue were observed under a microscope. The protein localization and expression of SP-B and SP-C were determined by immunohistochemistry; the protein levels of SP-B and SP-C were determined by Western blot. Blood glucose and body weight of the GDM group were higher than those of the control group; the number of alveoli and alveolar area in the GDM group was lower than those in the control group; the alveolar interval in the GDM group was significantly higher than that in the control group (P < 0.05). The average absorbance of SP-B and SP-C in fetal lung tissue was significantly lower in the GDM group than that in the control group (P < 0.01). Changes in fetal lung tissue structure of rats were related to SP-B and SP-C, which was one of the main factors that affected the maturation of fetal lung tissue.

Decreased Monocyte Count Is Associated With Gestational Diabetes Mellitus Development, Macrosomia, and Inflammation

CONTEXT

The immune system plays a central role in the pathophysiology of gestational diabetes mellitus (GDM). Monocytes, the main innate immune cells, are especially important in the maintenance of a normal pregnancy.

OBJECTIVE

Here, we investigated the potential effect of monocytes in GDM.

METHODS

Monocyte count was monitored throughout pregnancy in 214 women with GDM and 926 women without in a case-control and cohort study. Circulating levels of inflammatory cytokines, placenta-derived macrophages, and their products were measured.

RESULTS

Throughout pregnancy, monocyte count was significantly decreased in women with GDM, and was closely associated with glucose level, insulin resistance, and newborn weight. First-trimester monocyte count outperformed that of the second and third trimester as a risk factor and diagnostic predictor of GDM and macrosomia both in the case-control and cohort study. In addition, our cohort study showed that as first-trimester monocyte count decreased, GDM and macrosomia incidence, glucose level, and newborn weight increased in a stepwise manner. Risk of GDM started to decrease rapidly when first-trimester monocyte count exceeded 0.48 × 109/L. Notably, CD206 and interleukin 10 (IL-10) were significantly lower, whereas CD80, CD86, tumor necrosis factor α (TNF-α), and interleukin 6 (IL-6) were higher both in GDM placental tissue and peripheral blood. First-trimester monocyte count was positively related to IL-10 and CD206, but negatively related to CD80, CD86, TNF-α, and IL-6.

CONCLUSION

Decreased monocyte count throughout pregnancy was closely associated with the development of GDM, macrosomia, and the chronic inflammatory state of GDM. First-trimester monocyte count has great potential as an early diagnostic marker of GDM.

Triglyceride-glucose index predicts the risk of gestational diabetes mellitus: a systematic review and meta-analysis

AIMS

We aimed to investigate the potential predictive efficacy of triglyceride-glucose (T/Gly) index for gestational diabetes mellitus (GDM) in a systematic review and meta-analysis.

MATERIALS AND METHODS

Cohort studies demonstrating the association between T/Gly index measured at the first trimester or before pregnancy and the subsequent incidence of GDM were identified by search of PubMed, Embase, China National Knowledge Infrastructure, and WanFang databases. A random-effect model incorporating the heterogeneity was applied to pool the results. Five cohort studies including 382,213 women were included in this meta-analysis.

RESULTS

Compared to those with the lowest category of T/Gly index, women with the highest category of T/Gly index were independently associated with higher risk of subsequent GDM (odds ratio [OR]: 2.52, 95% confidence interval [CI]: 1.33 ∼ 4.67, I²=65%, p=.004) after adjustment of potential confounding factors including age, body mass index, and family history of diabetes. The association was stronger in prospective cohort studies than retrospective cohort studies (p for subgroup difference=.007), and a significant association was detected in Asian women (OR: 3.30, 95% CI: 1.50-7.28, p =.003), but not in non-Asian women (OR: 0.96, 95% CI: 0.35-2.63, p=.94).

CONCLUSIONS

Higher T/Gly index may independently predict the risk of GDM in Asian women.

The mitochondrial-derived peptide MOTS-c relieves hyperglycemia and insulin resistance in gestational diabetes mellitus

The most common complication during pregnancy, gestational diabetes mellitus (GDM), can cause adverse pregnancy outcomes and result in the mother and infant having a higher risk of developing type 2 diabetes after pregnancy. However, existing therapies for GDM remain scant, with the most common being lifestyle intervention and appropriate insulin treatment. MOTS-c, a mitochondrial-derived peptide, can target skeletal muscle and enhance glucose metabolism. Here, we demonstrate that MOTS-c can be an effective treatment for GDM. A GDM mouse model was established by short term high-fat diet combined with low-dose streptozotocin (STZ) treatment while MOTS-c was administrated daily during pregnancy. GDM symptoms such as blood glucose and insulin levels, glucose and insulin tolerance, as well as reproductive outcomes were investigated. MOTS-c significantly alleviated hyperglycemia, improved insulin sensitivity and glucose tolerance, and reduced birth weight and the death of offspring induced by GDM. Similar to a previous study, MOTS-c also could activate insulin sensitivity in the skeletal muscle of GDM mice and elevate glucose uptake in vitro. In addition, we found that MOTS-c protects pancreatic β-cell from STZ-mediated injury. Taken together, our findings demonstrate that MOTS-c could be a promising strategy for the treatment of GDM.

Maternal serum NGAL in the first trimester of pregnancy is a potential biomarker for the prediction of gestational diabetes mellitus

OBJECTIVE

Gestational diabetes mellitus (GDM) has adverse effects on the health of mothers and their offspring. Currently, no known biomarker has been proven to have sufficient validity for the prediction of GDM in the first trimester of pregnancy. The aim of this study was to investigate the potential relationship between serum neutrophil gelatinase-associated lipocalin (NGAL) levels in the first trimester of pregnancy and later GDM risk and to evaluate the performance of serum NGAL as a biomarker for the prediction of GDM.

METHODS

The study was conducted by recruiting participants at 8-13 weeks of gestation from The First Affiliated Hospital of Chengdu Medical College between January and June 2021; participants were followed up for oral glucose tolerance test (OGTT) screening at 24-28 gestational weeks. We examined the serum NGAL levels of all subjects in the first trimester who met the inclusion and exclusion criteria. Anthropometric, clinical, and laboratory parameters of the study subjects were obtained during the same study period. A logistic regression model was carried out to investigate the potential relationship between serum NGAL levels in the first trimester of pregnancy and later GDM risk. The receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to assess the discrimination and calibration of serum NGAL as a biomarker for the prediction of GDM in the first trimester of pregnancy.

RESULTS

Serum NGAL levels in the first trimester of pregnancy were significantly higher in women who later developed GDM than in those who did not develop GDM. Serum NGAL levels in the first trimester of pregnancy were positively associated with an increased risk of GDM after adjustment for potential confounding factors. The risk prediction model for GDM constructed by using serum NGAL levels in the first trimester of pregnancy achieved excellent performance.

CONCLUSIONS

Maternal serum NGAL in the first trimester of pregnancy is a potential biomarker for the prediction of GDM, which could help guide the clinical practice of antenatal care.

miR-134-5p promotes inflammation and apoptosis of trophoblast cells via regulating FOXP2 transcription in gestational diabetes mellitus

Gestational diabetes mellitus (GDM) is a prevalent and risky pregnant complication which warrants targeted therapy for restriction the inflammation and apoptosis of trophoblast cells. This study sought to analyze the aberrant expression and regulatory mechanism of microRNA (miR)-134-5p in GDM. The miR-134-5p expression in the serum of GDM patients and normal participants was detected via qRT-PCR, followed by receiver operating characteristic (ROC) curve analysis. In vitro GDM cell model was established in the HTR-8/SVneo cells using 25 mmol/L glucose, followed by transfection with miR-134-5p inhibitor and si-Forkhead box p2(FOXP2). The miR-134-5p and FOXP2 expressions, TNF-α, IL-1β, and IL-10 levels, cell proliferation, migration, and apoptosis were determined by a combination of qRT-PCR, western blot, ELISA, and cell counting Kit-8, Transwell assay, and flow cytometry. The binding relationship between miR-134-5p and FOXP2 was predicted and verified. Our results revealed that miR-134-5p was increased in the serum of GDM patients and could serve as a critical diagnostic marker for GDM. Moreover, miR-134-5p was upregulated in the high glucose (HG)-induced HTR-8/SVneo cells. The miR-134-5p inhibition suppressed the inflammation and apoptosis of HG-induced HTR-8/SVneo cells. miR-134-5p inhibited FOXP2 expression. FOXP2 expression was decreased in GDM. FOXP2 inhibition attenuated the function of miR-134-5p in HG-induced HTR-8/SVneo cells. Overall, miR-134-5p inhibited the FOXP2 expression to facilitate the inflammation and apoptosis of trophoblast cells, thereby exacerbating GDM.

mHealth apps for gestational diabetes mellitus that provide clinical decision support or artificial intelligence: A scoping review

AIMS

Gestational diabetes (GDM) is the most common metabolic disorder of pregnancy, requiring complex management and empowerment of those affected. Mobile health (mHealth) applications (apps) are proposed for streamlining healthcare service delivery, extending care relationships into the community, and empowering those affected by prolonged medical disorders to be equal collaborators in their healthcare. This review investigates mHealth apps intended for use with GDM; specifically those powered by artificial intelligence (AI) or providing decision support.

METHODS

A scoping review using the novel Survey Tool approach for collaborative literature Reviews (STaR) process was performed.

RESULTS

From 18 papers, 11 discrete GDM-based mHealth apps were identified, but only 3 were reasonably mature with only one currently in use in a clinical setting. Two-thirds of the apps provided condition-relevant contextual user feedback that could aid in patient self care. However, although each app targeted one or more components of the GDM clinical pathway, no app addressed the entirety from diagnosis to postpartum.

CONCLUSIONS

There are limited mHealth apps for GDM that incorporate AI or AI-based decision support. Many exist only to record patient information like blood glucose readings or diet, provide generic patient education or advice, or to reduce adverse events by providing medication or appointment alerts. Significant barriers remain that continue to limit the adoption of mHealth apps in clinical care settings. Further research and development are needed to deliver intelligent holistic mHealth apps using AI that can truly reduce healthcare resource use and improve outcomes by enabling patient self care in the community.

Hsa_circRNA_102682 is closely related to lipid metabolism in gestational diabetes mellitus

OBJECTIVE

To explore the relationship between circular RNA (circRNA) in gestational diabetes mellitus (GDM) and the metabolic profile at the molecular level, and find a biological marker that can predict GDM early.

METHODS

A retrospective case-control study was conducted using data and samples from women treated at a hospital in China between January 10 2018 and February 20 2019. Reverse transcription polymerase chain reaction (qRT-PCR) was used to evaluate the expression level of hsa_circRNA_102682 in serum and analyze its correlation with lipid metabolism parameters.

RESULTS

Advanced age and higher pre-pregnancy body mass index (BMI) during pregnancy are risk factors for GDM. The expression level of hsa_circ_102682 was lower among the cases than the controls (p=.000). The levels of triglyceride, apolipoprotein A1 (APOA1), APOB, and high-density lipoprotein cholesterol (HDL-C) were different between the controls and cases (p<.05). Hsa_circRNA_102682 was significantly correlated with triglycerides, APOA1, APOB, 1-h blood glucose in the serum of GDM patients, and the correlation coefficients were 0.319, 0.314, 0.286, and 0.311, respectively (p<.05). The area under the receiver operating characteristic curve is 0.684 (95% confidence interval 0.611-0.756, p=.0001).

CONCLUSIONS

Hsa_circRNA_102682 may regulate lipid metabolism, participate in the pathogenesis of GDM. It can be used as a marker to predict GDM.

Efficacy of continuous glucose monitoring on maternal and neonatal outcomes in gestational diabetes mellitus: a systematic review and meta-analysis of randomized clinical trials

AIMS

This systematic review aims to evaluate the effect of continuous glucose monitoring (CGM) on maternal and neonatal outcomes in gestational diabetes mellitus (GDM).

METHODS

Two authors conducted a systematic search using PubMed, Embase, CENTRAL, CINAHL, Scopus, Web of Science, ClinicalTrials.gov and the World Health Organization International Clinical Trials Registry Platform. The inclusion criteria for the systematic review were randomized clinical trials that compared the effects of CGM and blood glucose monitoring (BGM) in women with GDM. A restricted maximum likelihood random-effects model was used for the meta-analysis. The measures of effect were risk ratios for categorical data and mean differences for continuous data.

RESULTS

Of the 457 studies reviewed, six randomized clinical trials met the inclusion criteria. A total of 482 patients were included in the meta-analysis. The use of CGM was associated with lower HbA1c levels at the end of pregnancy (mean difference: -0.22; 95%CI -0.42 to -0.03) compared to BGM. Women using CGM also had less gestational weight gain (mean difference: -1.17, 95%CI -2.15 to -0.19), and their children had lower birth weight (mean difference: -116.26, 95%CI -224.70 to -7.81). No differences were observed in the other outcomes evaluated.

CONCLUSION

Women with GDM using CGM may achieve lower average blood glucose levels, lower maternal weight gain and infant birth weight than women using BGM. Nevertheless, current evidence is limited by the low number of studies and the small sample sizes of these studies. Larger clinical trials are needed to better understand the effects of CGM in GDM.

REGISTRATION

PROSPERO registration ID CRD42021225651.

Alpha-lipoic acid supplementation effects on serum values of some oxidative stress biomarkers in women with gestational diabetes

AIMS

Alpha-lipoic acid (ALA) is a unique antioxidant that can eradicate different kinds of free radicals. The current trial was designed to investigate the effects of ALA supplementation on some oxidative stress biomarkers in women with GDM.

MATERIALS AND METHODS

Sixty women with GDM at 24-28 weeks of pregnancy were selected and then they were divided into the drug (n = 30) received ALA 300 mg/day for 8 weeks and the placebo (n = 30) groups. Serum values of fasting blood sugar (FBS), thiol groups, glutathione, catalase, total antioxidant capacity (TAC), total oxidant status (TOS) and malondialdehyde (MDA) were measured. Values of the oxidative stress index (OSI), the MDA/TAC ratio and total antioxidant gap (TAG) were calculated.

RESULTS

After the intervention values of FBS (p = .001), TAC (p < .001), OSI (p = .003), TAG (p = .001) and catalase (p < .001) were improved significantly in the drug group. Values of TOS (p = .070) and glutathione (p = .088) were improved marginally in the drug group.

CONCLUSIONS

The current study showed that ALA supplementation at a dosage of 300 mg/day in women with GDM had improving effects on maternal circulating values of FBS, TAC, OSI, TAG, TOS, glutathione and catalase.

Predictive values of serum metabolites in early pregnancy and their possible pathways for gestational diabetes: A nested case-control study in Tianjin, China

AIMS

To investigate the associations and predictive values of serum metabolites in early pregnancy for later development of gestational diabetes mellitus (GDM), and further explore their metabolic pathways to GDM.

METHODS

We conducted a 1:1 nested case-control study including 486 pregnant women from Tianjin, China, and collected blood samples at their first registration (median at 10th gestational week). Liquid chromatography-tandem mass spectrometry was used to measure serum metabolites. Orthogonal partial least squares discriminant analysis was used to select specific metabolites associated with GDM, and pathway analysis was used to identify the metabolic pathways related to GDM.

RESULTS

A total of 64 serum metabolites were included in this analysis, 17 of which were identified as specific metabolites associated with GDM. Ten metabolites increased and seven metabolites decreased GDM risk. Inclusion of these specific metabolites to the model of traditional risk factors greatly increased the predictive value from 0.69 (95% confidence interval: 0.64-0.74) to 0.92 (0.90-0.95). In addition, we found that glycerophospholipid metabolism, sphingolipid metabolism and primary bile acid biosynthesis were main metabolic pathways related to GDM.

CONCLUSION

We identified a set of serum metabolites and their metabolic pathways in early pregnancy associated with GDM, which provided a theoretical basis for further research on the molecular pathways to GDM and early identification of GDM.

Clinical utility of 1-month postpartum random plasma glucose and glycated hemoglobin combined with pre-pregnancy body mass index for detecting postpartum glucose intolerance in Japanese women with gestational diabetes

During the coronavirus disease 2019 pandemic, the Japanese Society of Diabetes and Pregnancy proposed the use of random plasma glucose and glycated hemoglobin measured 1 month after delivery combined with pre-pregnancy body mass index to detect postpartum glucose intolerance instead of carrying out the oral glucose tolerance test in women with gestational diabetes. We retrospectively evaluated the clinical utility of this strategy to detect postpartum glucose intolerance evaluated by the oral glucose tolerance test after delivery. A total of 275 Japanese women with gestational diabetes were included in the present study. The specificity of 1-month postpartum random plasma glucose and glycated hemoglobin combined with pre-pregnancy body mass index to predict postpartum glucose intolerance was 98.0%, with a negative predictive value of 72.6%. However, sensitivity was 6.4%, with a positive predictive value of 55.6%. In conclusion, this Japanese Society of Diabetes and Pregnancy strategy showed high specificity, but low sensitivity, for detecting glucose intolerance postpartum.

Predictors of later insulin therapy for gestational diabetes diagnosed in early pregnancy

Interventions for gestational diabetes mellitus (GDM), diagnosed in early pregnancy, have been a topic of controversy. This study aimed to elucidate factors that predict patients with GDM diagnosed before 24 gestational weeks (early GDM: E-GDM) who require insulin therapy later during pregnancy. Furthermore, we identified patients whose impaired glucose tolerance should be strictly controlled from early gestation onward. Women diagnosed with GDM were categorized based on the gestational age at diagnosis into E-GDM (n = 388) or late GDM (L-GDM, diagnosed after 24 weeks, n = 340) groups. Clinical features were compared between the groups, and the predictors for insulin therapy was evaluated in the E-GDM group. There were no significant between-group differences in terms of perinatal outcomes (e.g., gestational weeks at delivery, fetal growth, hypertensive disorder of pregnancy), with the exception of the Apgar score at 5 min. Moreover, there was no significant difference in the frequency of insulin therapy during pregnancy between the two groups. Using multiple logistic regression analysis, pre-pregnancy body mass index (BMI) ≥25 kg/m², a family history of diabetes, and higher fasting plasma glucose (FPG), 1 h-plasma glucose (PG), and 2 h-PG values increased insulin therapy risk during pregnancy in the E-GDM group. Furthermore, since E-GDM patients with abnormal levels of FPG, as well as 1 h-PG or 2 h-PG, and those with pre-pregnancy BMI ≥25 kg/m² and a family history of diabetes had a higher risk of later insulin therapy during pregnancy, they may require more careful follow-up in the perinatal period.

Weight Loss Prior to Pregnancy and Early Gestational Glycemia: Prepare, a Randomized Clinical Trial

CONTEXT

Women with elevated body mass index are encouraged to lose weight before pregnancy, but no trials have tested the effects of prepregnancy weight loss on risk of developing gestational diabetes.

OBJECTIVE

This work aims to determine whether prepregnancy weight loss improved the early metabolic environment as measured by early gestational diabetes diagnosis.

METHODS

This was a secondary analysis of a pragmatic randomized clinical trial conducted between May 2015 and October 2019 in an integrated health system that encouraged first-trimester gestational diabetes screening for high-risk women, including those with obesity. Women aged 18 to 40 years with a body mass index (BMI) greater than or equal to 27 who were planning pregnancy were randomly assigned to a behavioral weight loss intervention or usual care. Clinical care decisions and data collection were blind to condition assignment. We compared rates of diagnosis with gestational diabetes in early pregnancy between the groups using logistic regression.

RESULTS

Of 326 participants, 168 (89 in the intervention and 79 in usual care) had singleton pregnancies during the study period. At baseline, mean age was 31.3 ± 3.5 years and BMI was 34.8 ± 5.8. Fifty-nine (66%) intervention participants and 57 (72%) usual care participants underwent early screening. Among those, intervention participants were 73% less likely to be diagnosed with gestational diabetes than usual care participants (adjusted odds ratio [aOR], 0.27; 95% CI, 0.09-0.80). There was no difference in diagnosis of gestational diabetes in later pregnancy (aOR, 1.08; 95% CI, 0.41-2.81).

CONCLUSION

Participation in a prepregnancy weight loss intervention led to lower rates of gestational diabetes diagnosis in early pregnancy. This suggests positive effects of prepregnancy weight loss on the early metabolic environment, a critical factor in offspring metabolic risk.

The Clinical Values of Afamin, Triglyceride and PLR in Predicting Risk of Gestational Diabetes During Early Pregnancy

Objective

To establish a model to predict gestational diabetes mellitus (GDM) based on the clinical characteristics, early pregnancy (10-12 weeks gestation) peripheral blood routine, and biochemical indicators, and to explore its predictive efficiencies.

Methods

Data from 607 pregnant women with GDM were compared to the data from 833 pregnant women without GDM admitted to the Obstetrics Department of Fujian Maternity and Child Health Hospital (affiliated to Fujian Medical University) from May 2018 to December 2018 were retrospectively included. The ages of the pregnant women, paternal ages, number of pregnancies, number of deliveries, pre-pregnancy heights/weights, and the calculated body mass indexes (BMI) were recorded. In all participants, 10-12 weeks of pregnancy, afamin concentration, routine blood work, prenatal aneuploidy screening, and biochemical testing were performed. At weeks 24-28 of gestation, patients underwent oral glucose tolerance test (OGTT) for GDM screening.

Results

Multivariate logistic regression analysis showed that maternal age, early pregnancy afamin level, triglycerides, and platelet/lymphocyte ratio (PLR) were independent risk factors for gestational diabetes. The formula for predicting GDM probability was as follows: P = 1/1 + exp( - 6.054 + 0.774 × triglycerides + 0.002 × afamin + 0.155 × age - 0.012 × PLR)]. From the established ROC curve, the area under the curve (AUC) was 0.748, indicating that the model has a good degree of discrimination. When the predictive probability cut-off value was set on 0.358, sensitivity, specificity, positive predictive value, and negative predictive value were 69.2%, 68.3%, 42.5%, and 86.2%, respectively, and the accuracy rate was 70.2%. The Hosmer-Lemeshow test results showed that the goodness of the model fit has a good calibration ability (χ2 = 12.269, df=8, P=0.140).

Conclusions

Maternal age, early pregnancy afamin level, triglycerides, and PLR are independent risk factors for gestational diabetes. When combined, the above indicators are helpful for prediction, early diagnosis, and intervention of gestational diabetes.

Homocysteine level and gestational diabetes mellitus: a systematic review and meta-analysis

AIMS

It is reported that elevated homocysteine (Hcy) level represents an independent risk factor for gestational diabetes mellitus (GDM). However, the relationship between Hcy level and GDM remains controversial. Our study aimed to systematically review available literature linking Hcy to GDM for a comprehensive understanding of the relationship between circulating Hcy level and GDM in humans.

METHODS

PubMed, The Cochrane Library, and Web of Science were searched for studies published up to January 2021. Manual searches of references of the relevant studies were also conducted. Standard mean difference (SMD) with 95% confidence interval (95%CI) were calculated to evaluate the relationship between Hcy level and GDM using the Review Manager 5.3 and Stata 12.0.

RESULTS

Of 106 references reviewed, 12 studies with a total of 712 GDM patients contributed to the present meta-analysis. Hcy level was significantly elevated in women with GDM compared with those without GDM (SMD = 0.55; 95% CI: 0.25-0.85, p = .0003). In the subgroup meta-analyses, this evidence was more consistent among women with Hcy sampling during the second trimester (SMD = 0.76, 95% CI: 0.34-1.18, p = .0004) and with average age ≥30 years (SMD = 0.69, 95% CI: 0.25-1.12, p = .002).

CONCLUSION

The evidence indicated that the level of circulating Hcy was significantly elevated among women with GDM compared with those with normal glucose tolerance, especially with mean age ≥30 years and in the second trimester.

Maternal gestational diabetes and childhood hyperlipidemia

AIMS

Aim of this study is to assess dyslipidemia risk between children exposed to maternal gestational diabetes mellitus (GDM) and those not exposed.

METHODS

We recruited 1144 mother-child pairs (572 GDM and 572 non-GDM women matched by their offspring's age and sex). The age of offspring ranged from 3 to 9 years old. We used general linear models to compare mean values of different lipid profiles among children born to mothers with and without GDM. Logistic regression models were used to assess associations of maternal GDM with abnormal lipid profiles in offspring.

RESULTS

After adjustment for maternal and children's characteristics, children born to mothers with GDM had lower mean values of high-density-lipoprotein (HDL) cholesterol (1.40 ± 0.01 vs. 1.50 ± 0.01; p < 0.001) and higher mean levels of triglycerides/HDL cholesterol ratio (0.37 ± 0.01 vs. 0.35 ± 0.01; p < 0.05) in comparison with their counterparts born to mothers without GDM. Multivariate-adjusted odds ratios among children exposed to mothers with GDM compared with the counterparts were 2.11 (95% confidence interval [CI 1.15-3.88]) for low HDL cholesterol and 1.35 (95% CI 1.00-1.81) for high triglycerides/HDL cholesterol ratio, respectively.

CONCLUSIONS

Maternal GDM was associated with an increased risk of hyperlipidemia in the offspring during early childhood aged from 3 to 9 years old.

Longitudinal Metabolic Profiling of Maternal Obesity, Gestational Diabetes, and Hypertensive Pregnancy Disorders

CONTEXT

Comprehensive assessment of metabolism in maternal obesity and pregnancy disorders can provide information about the shared maternal-fetal milieu and give insight into both maternal long-term health and intergenerational transmission of disease burden.

OBJECTIVE

To assess levels, profiles, and change in the levels of metabolic measures during pregnancies complicated by obesity, gestational diabetes (GDM), or hypertensive disorders.

DESIGN, SETTING AND PARTICIPANTS

A secondary analysis of 2 study cohorts, PREDO and RADIEL, including 741 pregnant women.

MAIN OUTCOME MEASURES

We assessed 225 metabolic measures by nuclear magnetic resonance in blood samples collected at median 13 [interquartile range (IQR) 12.4-13.7], 20 (IQR 19.3-23.0), and 28 (27.0-35.0) weeks of gestation.

RESULTS

Across all 3 time points women with obesity [body mass index (BMI) ≥ 30kg/m2] in comparison to normal weight (BMI 18.5-24.99 kg/m2) had significantly higher levels of most very-low-density lipoprotein-related measures, many fatty and most amino acids, and more adverse metabolic profiles. The change in the levels of most metabolic measures during pregnancy was smaller in obese than in normal weight women. GDM, preeclampsia, and chronic hypertension were associated with metabolic alterations similar to obesity. The associations of obesity held after adjustment for GDM and hypertensive disorders, but many of the associations with GDM and hypertensive disorders were rendered nonsignificant after adjustment for BMI and the other pregnancy disorders.

CONCLUSIONS

This study shows that the pregnancy-related metabolic change is smaller in women with obesity, who display metabolic perturbations already in early pregnancy. Metabolic alterations of obesity and pregnancy disorders resembled each other suggesting a shared metabolic origin.

Serum and Amniotic Fluid Metabolic Profile Changes in Response to Gestational Diabetes Mellitus and the Association with Maternal-Fetal Outcomes

This study was designed to identify serum and amniotic fluid (AF) metabolic profile changes in response to gestational diabetes mellitus (GDM) and explore the association with maternal-fetal outcomes. We established the GDM rat models by combining a high-fat diet (HFD) with an injection of low-dose streptozotocin (STZ), detected the fasting plasma glucose (FPG) of pregnant rats in the second and third trimester, and collected AF and fetal rats by cesarean section on gestational day 19 (GD19), as well as measuring the weight and crown-rump length (CRL) of fetal rats. We applied liquid chromatography-tandem mass spectrometry (LC-MS/MS) for the untargeted metabolomics analyses of serum and AF samples and then explored their correlation with maternal-fetal outcomes via the co-occurrence network. The results showed that 91 and 68 metabolites were upregulated and 125 and 78 metabolites were downregulated in serum and AF samples exposed to GDM, respectively. In maternal serum, the obvious alterations emerged in lipids and lipid-like molecules, while there were great changes in carbohydrate and carbohydrate conjugates, followed by amino acids, peptides, and analogs in amniotic fluid. The altered pathways both in serum and AF samples were amino acid, lipid, nucleotide, and vitamin metabolism pathways. In response to GDM, changes in the steroid hormone metabolic pathway occurred in serum, and an altered carbohydrate metabolism pathway was found in AF samples. Among differential metabolites in two kinds of samples, there were 34 common biochemicals shared by serum and AF samples, and a mutual significant association existed. These shared differential metabolites were implicated in several metabolism pathways, including choline, tryptophan, histidine, and nicotinate and nicotinamide metabolism, and among them, N1-methyl-4-pyridone-3-carboxamide, 5'-methylthioadenosine, and kynurenic acid were significantly associated with both maternal FPG and fetal growth. In conclusion, serum and AF metabolic profiles were remarkably altered in response to GDM. N1-Methyl-4-pyridone-3-carboxamide, 5'-methylthioadenosine, and kynurenic acid have the potential to be taken as biomarkers for maternal-fetal health status of GDM. The common and inter-related differential metabolites both in the serum and AF implied the feasibility of predicting fetal health outcomes via detecting the metabolites in maternal serum exposed to GDM.

Plasma glycated CD59 predicts postpartum glucose intolerance after gestational diabetes

AIM

To assess whether in women with gestational diabetes mellitus (GDM), postpartum plasma glycated CD59 (pGCD59) levels predict conversion to glucose intolerance diagnosed with an oral glucose tolerance test (OGTT).

METHODS

Blood levels of pGCD59 were measured in a case-control study of 105 women with GDM who underwent a 75 g OGTT 3 months postpartum. The 35 postpartum glucose intolerant cases were individually matched for age, BMI, ethnic origin, and parity with 70 women with GDM but normal postpartum OGTT (controls). The GDM cohort (105) was also matched with 105 normal glucose tolerant women during pregnancy. pGCD59 was measured by ELISA in standard peptide units (SPU).

RESULTS

Mean pGCD59 postpartum was significantly higher in cases than in controls (1.5 ± 0.6 SPU vs 1.0 ± 0.6 SPU, P < 0.001). The area under the receiving operating characteristic curve (AUC) in cases vs controls was 0.72 (95% CI: 0.62-0.83) for postpartum pGCD59 and 0.50 (95% CI: 0.36-0.61) for postpartum HbA1c. A 0.5-unit increase in postpartum pGCD59 was associated with an odds ratio (OR) of 3.3 (95% CI: 1.82-6.16, P < 0.001) for glucose intolerance postpartum. A pGCD59 cut-off postpartum of 0.9 SPU had a sensitivity of 85.7% (95% CI: 69.7-95.2%), specificity of 47.8% (95% CI: 35.6-60.2%), positive predictive value of 45.4% (95% CI: 33.1-58.2%), and negative predictive value of 86.8% (95% CI: 71.9-95.6%). pGCD59 in pregnancy was a poor predictor for glucose intolerance postpartum (AUC of 0.61 (95% CI: 0.50-0.72)).

CONCLUSION

pGCD59 might identify women at low risk for glucose intolerance postpartum and could help to avoid an OGTT.

Association of maternal vitamin B12 and folate levels in early pregnancy with gestational diabetes: a prospective UK cohort study (PRiDE study)

AIMS/HYPOTHESIS

The prevalence of gestational diabetes mellitus (GDM) is increasing worldwide in all ethnic groups. Low vitamin B₁₂ and low/high folate levels may contribute to GDM risk, but there is conflicting evidence. Our aim is to assess the relationships of early pregnancy vitamin B₁₂ and folate levels with the risk of GDM status at 26-28 weeks of gestation.

METHODS

This was a prospective, multi-centre, multi-ethnic cohort study (n = 4746) in the UK. Participants who were eligible to be selectively screened as per the National Institute for Health and Care Excellence (NICE) criteria were included in the study.

RESULTS

GDM prevalence was 12.5% by NICE and 14.7% by International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. Folate deficiency (1.3%) was rare but B₁₂ insufficiency (42.3% at <220 pmol/l) and folate excess (36.5%) were common in early pregnancy. Early pregnancy median B₁₂ levels were lower, and folate levels higher, in women who were diagnosed with GDM at 26-28 weeks. B₁₂ was negatively associated with fasting plasma glucose (1 SD: -0.06 mmol/l; 95% CI -0.04, -0.08; p < 0.0001) and 2 h plasma glucose levels (-0.07 mmol/l; 95% CI -0.02, -0.12; p = 0.004). Higher B₁₂ was associated with 14.4% lower RR of IADPSG-GDM (0.856; 95% CI 0.786, 0.933; p = 0.0004) after adjusting for key confounders (age, parity, smoking status, ethnicity, family history, household income and folate status). Approximately half of this association was mediated through BMI. Folate was positively associated with 2 h plasma glucose levels (0.08 mmol/l; 95% CI 0.04, 0.13; p = 0.0005) but its relationship with fasting plasma glucose was U-shaped (quadratic β: 0.011; p = 0.05). Higher folate was associated with 11% higher RR of IADPSG-GDM (adjusted RR 1.11; 95% CI 1.036, 1.182; p = 0.002) (age, parity, smoking status, ethnicity, family history, household income and B₁₂ status). Although no interactions were observed for B₁₂ and folate (as continuous variables) with glucose levels and GDM risk, a low B₁₂-high folate combination was associated with higher blood glucose level and risk of IADPSG-GDM (adjusted RR 1.742; 95% CI 1.226, 2.437; p = 0.003).

CONCLUSIONS/INTERPRETATION

B₁₂ insufficiency and folate excess were common in early pregnancy. Low B₁₂ and high folate levels in early pregnancy were associated with small but statistically significant changes in maternal blood glucose level and higher RR of GDM. Our findings warrant additional studies on the role of unmetabolised folic acid in glucose metabolism and investigating the effect of optimising early pregnancy or pre-conception B₁₂ and folate levels on subsequent hyperglycaemia.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03008824.

Maternal serum sortilin levels in gestational diabetes mellitus

OBJECTIVE

To evaluate the serum sortilin levels in pregnant women with gestational diabetes mellitus (GDM) and to compare the results with normoglycemic healthy pregnant women and observe the relationship between serum sortilin levels and biochemical parameters.

METHODS

This case-control study consisted of 55 pregnancies with GDM and 32 healthy singleton pregnancies matched for maternal and gestational age. The maternal serum levels of sortilin were measured with enzyme-linked immunosorbent assay and compared between groups.

RESULTS

Sortilin levels were significantly higher in GDM group (5.52 ± 3.19 ng/mL versus 3.30 ± 1.47 ng/mL, p < .001). Pairwise comparisons showed that both the diet group and insulin group had significantly higher serum sortilin levels than the control group (p: .022 and p: .002, respectively). Maternal serum sortilin levels were significantly positively correlated with serum insulin levels, homeostasis model assessment of insulin resistance (HOMA-IR) and glycated hemoglobin values (r: 0.277, p: .012, r: 0.306, p: .005, r: 0.267, p: .012, respectively).

CONCLUSIONS

Serum sortilin levels were significantly higher in women with GDM compared to the control group and were positively correlated with insulin, HOMA-IR and glycated hemoglobin levels. The present results point to the role of sortilin in glucose homeostasis and suggest that it may be a novel marker for GDM.

Bihormonal dysregulation of insulin and glucagon contributes to glucose intolerance development at one year post-delivery in women with gestational diabetes: a prospective cohort study using an early postpartum 75-g glucose tolerance test

Gestational diabetes mellitus (GDM) is known to be a significant risk factor for the future development of type 2 diabetes. Here, we investigated whether a precise evaluation of β- and α-cell functions helps to identify women at high risk of developing glucose intolerance after GDM. Fifty-six women with GDM underwent a 75-g oral glucose tolerance test (OGTT) at early (6-12 weeks) postpartum. We measured their concentrations of glucose, insulin, proinsulin and glucagon at fasting and 30, 60 and 120 min. At 1-year post-delivery, we classified the women into a normal glucose tolerance (NGT) group or an impaired glucose tolerance (IGT)/diabetes mellitus (DM) group. Forty-three of the 56 women completed the study. At 1-year post-delivery, 17 women had developed IGT/DM and 26 women showed NGT. In the early-postpartum OGTTs, the IGT/DM group showed a lower insulinogenic index, a less glucagon suppression evaluated by the change from fasting to 30 min (ΔGlucagon 30 min), and a higher glucagon-to-insulin ratio at 30 min compared to the NGT group. There were no significant between-group differences in proinsulin levels or proinsulin-to-insulin ratios. Insulinogenic index <0.6 and ΔGlucagon 30 min >0 pg/mL were identified as predictors for the development of IGT/DM after GDM, independent of age, body mass index, and lactation intensity. These results suggest that the bihormonal disorder of insulin and glucagon causes the postpartum development of glucose intolerance. The measurement of plasma insulin and glucagon during the initial OGTT at early postpartum period can help to make optimal decisions regarding the postpartum management of women with GDM.

Whey protein preloading can alleviate stress adaptation disorder and improve hyperglycemia in women with gestational diabetes mellitus

AIMS

To investigate the change of stress hormones, oxidative stress and insulin resistance (IR) in women with gestational diabetes mellitus (GDM) after supplement whey protein, in an attempt to gain insights into the prevention and treatment of GDM.

MATERIALS AND METHODS

60 GDM women were recruited in this study, and 30 women received a preload drink containing 20 g whey protein as group GDM-W, and the other 30 women received control flavoring drink as group GDM, and the trial lasted for 14 days. Plasma epinephrine (E), noradrenaline (NE), and cortisol were detected; we also determined levels of malondialdehyde (MDA), superoxide dismutase (SOD), and glutathione (GSH). Homeostasis model assessment of insulin resistance (HOMA-IR) was used to assess IR.

RESULTS

In the GDM-W group, postprandial blood glucose was decreased significantly on 3, 5, 7, and 14 days (all p < .05), plasma 2 h insulin was increased by 7.2, 8.6, and 20.5% on days 5, 7, and 14 (p < .05, .05, .01). HOMA-IR was decreased significantly on day 14 (p < .05). MDA was decreased by 20.7% on day 14 (p < .01), and anti-oxidative enzymes' SOD was decreased by 13.4% on day 14 (p < .05) and GSH was decreased by 16.7 and 29.1% on days 7 and 14 (both p < .05). Stress hormones E and cortisol were decreased by 10.8 and 19.8%, respectively, on day 14 (p < .05). There was no significant difference in NE between the two groups within 14 days.

CONCLUSIONS

Whey protein supplementation may improve hyperglycemia by alleviating stress disorder and oxidative stress injury in GDM women. This trial was registered at chictr.org.cn/as ChiCTR1800020413.

Gestational diabetes mellitus decreased umbilical cord blood polyunsaturated fatty acids: a meta-analysis of observational studies

BACKGROUND

Polyunsaturated fatty acid (PUFA) is important for the development of the fetal brain, and the retina. Gestational diabetes mellitus (GDM) may influence maternal and fetal fatty acid metabolism, in turn affecting fetal growth and development. In several studies, maternal and fetal PUFA metabolic differences have been reported between mothers with and without GDM, but not in other studies. Thus, the aim of this meta-analysis (registration number: CRD42020220448) was to compare levels of linoleic acid (LA), α-linolenic acid (ALA), arachidonic acid (AA), docosahexaenoic acid (DHA), and total n-3 and n-6 PUFA between mothers with and without GMD and their fetuses.

METHODS

We performed a meta-analysis of observational studies on maternal and fetal fatty acid metabolism, published until May 2021. In addition, we performed subgroup analysis depending on the analyzed tissues (plasma/serum, erythrocyte membrane, or placenta) and the expression modes of fatty acids (concentration or percentage).

RESULTS

We included 24 observational studies involving 4335 maternal datasets and 12 studies involving 1675 fetal datasets in the meta-analysis. Levels of AA, DHA, and n-6 and n-3 PUFA were lower in the cord blood of mothers with GDM than in controls (P  <  0.05). Compared to that in controls, in erythrocyte membranes, the percentages of AA, DHA, and n-6 and n-3 PUFA in total fatty acid were lower in mothers with GDM (P  <  0.05), but in plasma/serum, the percentages of AA, DHA, and n-6 PUFA in total fatty acid were higher in mothers with GDM (P  <  0.05).

CONCLUSIONS

GDM appears to influence the transfer of PUFAs from mothers to fetuses. The percentage of PUFAs in maternal plasma/serum was higher, and that in erythrocyte membranes was lower in mothers with GDM compared to those with normal glucose tolerance.

Intrahepatic cholestasis of pregnancy: Association with glycaemic control in gestational diabetes

AIMS

The aim of this study was to determine whether the metabolic glucose profile, based on glycaemic control and insulin requirements, was different in women with gestational diabetes mellitus (GDM) and intrahepatic cholestasis of pregnancy (ICP) compared to women with only GDM.

METHODS

This retrospective cohort study comprised women with GDM and ICP matched with women with only GDM was undertaken at Aarhus University hospital, Denmark, from 2012 to 2019. A total of 46 cases and 184 controls were compared in relation to glycaemic control during pregnancy. Women with GDM and ICP were further divided into subgroups according to the severity of ICP: mild ICP (fasting bile salts 10-39 μmol/L) and moderate/severe ICP (bile salts ≥40 μmol/L).

RESULTS

No statistically significant differences were observed in baseline 2-h oral glucose tolerance test values, second and third trimester HbA_1c values, or maximum insulin requirements during pregnancy between women with GDM with and without ICP. Significantly more women with ICP developed preeclampsia during pregnancy: 23.9% (11/46) versus 7.6% (14/184); p = 0.003.

CONCLUSIONS

This study is the first to address the course of pregnancy in women with GDM with and without ICP in a clinical setting. Under the current treatment guidelines, ICP is not associated with clinically significant changes in glycaemic control in GDM. Significantly more women with both GDM and ICP developed preeclampsia.

Associations between Human Chorionic Gonadotropin, Maternal Free Thyroxine, and Gestational Diabetes Mellitus

Background: Human chorionic gonadotropin (hCG) is a marker of placental function, which also stimulates the maternal thyroid gland. Maternal thyroid function can be associated with the pathophysiology of gestational diabetes mellitus (GDM). We aimed to study whether there is an association of hCG concentrations in early pregnancy with GDM and whether it is mediated through maternal thyroid hormones. Methods: This study included 18,683 pregnant women presenting at a tertiary hospital in Shanghai, China, between January 2015 and December 2016. GDM was diagnosed using a 2-hour, 75-g, oral glucose tolerance test (OGTT) according to the American Diabetes Association guidelines. Multivariable logistic or linear regression models were used to identify associations, adjusting for maternal age, education level, family history of diabetes, parity, fetal sex, thyroperoxidase antibody (TPOAb) status, and prepregnancy body-mass index. Results: Higher hCG concentrations were associated with a lower plasma glucose level during the OGTT, but not with fasting plasma glucose or hemoglobin A1c concentrations tested during early pregnancy. hCG in early pregnancy was negatively associated with GDM risk (p = 0.027). Mediation analysis identified that an estimated 21.4% of the association of hCG-associated GDM risk was mediated through changes in free thyroxine (fT4) concentrations (p < 0.05). In the sensitivity analysis restricted to TPOAb-positive women, hCG was not associated with GDM (p = 0.452). Conclusions: Higher hCG levels in early pregnancy are associated with a lower risk of GDM. Maternal fT4 may act as an important mediator in this association.

The changes of Lp-PLA2 in patients with gestational diabetes and its clinical significance

Gestational diabetes mellitus (GDM) is one of the most common complications of pregnancy and associated with adverse pregnancy outcomes. The aim of this study was to investigate the changes of lipoprotein-associated phospholipaseA2 (Lp-PLA2) level and its correlation with biochemical indexes in patients with GDM.This observational cross-sectional study was performed among 52 GDM and 48 healthy pregnant women. Automatic biochemical analyzer was employed to test the biochemical indexes, including fasting plasma glucose (FPG), Hemoglobin A1c (HbA1c), total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C). The lipoprotein-associated phospholipaseA2 (Lp-PLA2) level was evaluated by enzyme-linked immunosorbent assay, and homeostatic model assessment for insulin resistance (HOMA-IR) was calculated.The levels of FPG, HbA1c, HOMA-IR, TG, TC and LDL-C were significantly increased while high-density lipoprotein cholesterol (HDL-C) level was significantly decreased in the GDM group when compared with those in the control group. Lp-PLA2 level in maternal blood in the GDM group was significantly higher than that in the control group (199.125 ± 23.494 vs165.825 ± 15.576 ng/mL, P < .05) and logistic regression analysis further confirmed the association of Lp-PLA2 levels with GDM. Furthermore, Lp-PLA2 positively correlated with HOMA-IR, TC, and LDL-C.Our results confirmed the association of Lp-PLA2 with GDM. This broadens our knowledge on the pathophysiology of GDM and provides insights into the development of new targets for the prevention and treatment of GDM.

Maternal Glycemia During Pregnancy and Early Offspring Development: A Prospective Birth Cohort Study

CONTEXT

The association of maternal gestational diabetes mellitus (GDM) with neurodevelopmental outcomes remains controversial and evidence that maternal increasing levels of glucose during pregnancy associated with the risk for impaired neurodevelopment were limited.

OBJECTIVE

To identify the continuous association of increasing maternal glucose levels with neurodevelopmental disorders in offspring and explore the potential contribution of cord metabolites to this association.

METHODS

The prospective birth cohort study included 1036 mother-child pairs. Primary predictors were maternal exposure GDM and maternal glucose values at a 75-g oral-glucose-tolerance test at 24 to 28 weeks during pregnancy. Primary neurodevelopmental outcomes at 12 months in offspring were assessed by the Ages and Stages Questionnaires, Third Edition (ASQ-3).

RESULTS

Maternal GDM was associated with failing the communication domain in offspring in the adjusted models [relative risk (RR) with 95% CI: 1.97 (1.11, 3.52)]. Increasing levels of fasting plasma glucose (FPG), 1-h plasma glucose (1-h PG) and 2-h plasma glucose (2-h PG) with 1 SD change were at higher risks in failing the personal social domain of ASQ-3 [RRs with 95% CI for FPG: 1.49 (1.09, 2.04); for 1-h PG: 1.70 (1.27, 2.29); for 2-h PG: 1.36 (1.01, 1.84)]. The linear association was also demonstrated. Compared with girls, boys exposed to higher maternal glucose levels were inclined to the failure of the personal social domain. Mediation analysis showed the contribution of maternal GDM to failure of communication domain mediated by C-peptide.

CONCLUSIONS

Maternal glucose levels below those diagnostic of diabetes are continuously associated with impaired neurodevelopment in offspring at 12 months.

The effect of probiotic supplementation on the risk of gestational diabetes mellitus among high-risk pregnant women: A parallel double-blind, randomized, placebo-controlled clinical trial

BACKGROUND

Based on a comprehensive search, we realized that the findings of the available literature are contradictory, and also limited data are available on Middle Eastern populations in terms of probiotic supplementation during the pregnancy. Therefore, the current double-blind, randomized, placebo-controlled clinical trial was carried out to investigate the effects of probiotic supplementation during pregnancy on the risk of gestational diabetes mellitus and also other maternal and neonatal outcomes.

MATERIALS AND METHODS

The pregnant women were randomized to either received probiotic supplement (n = 271) or placebo (n = 271) from the first half of the second trimester (14 weeks of pregnancy) up to 24 weeks when pregnant women routinely evaluated regarding the GDM. During the 24-28 weeks of pregnancy, mothers were evaluated regarding the presence of GDM using a 75 g oral glucose tolerance test (OGTT). The fasting blood glucose (FBG) was also evaluated within OGTT processes. Each 500 mg probiotic capsule was a mixture of Lactobacillus acidophilus LA1 (>7.5 × 10⁹ CFU), Bifidobacterium longum sp54 cs (>1.5 × 10⁹ CFU), and Bifidobacterium bifidum sp9 cs (>6 × 10⁹ CFU).

RESULTS

Overall, 507 pregnant women make up our study population with a mean age of 32.03 years and a Body Mass Index (BMI) of 30.20 kg/m². There was no significant difference between the intervention and the control group regarding FBG (88.68 vs. 89.61 mg/dL; P = 0.338), OGTT-1h (163.86 vs. 166.88; mg/dL; P = 0.116), and OGTT-2h (138.39 vs. 139.27; mg/dL; P = 0.599). The incidence of GDM in the intervention group was 41.9% which was not significantly different from the control group (40.2%) (P = 0.780). Likewise, no significant difference was detected in terms of other studied parameters.

CONCLUSIONS

It seems that probiotics supplementation of pregnant women from the first half of the second trimester up to 24 weeks of pregnancy does not reduce the risk of GDM, or improve other neonatal and maternal outcomes.

A longitudinal study of plasma acylcarnitines throughout pregnancy and associations with risk of gestational diabetes mellitus

BACKGROUND & AIMS

Prospective and longitudinal data on the association between acylcarnitines and gestational diabetes (GDM) are lacking. This study aims to prospectively investigate 28 acylcarnitines in relation to subsequent GDM risk.

METHODS

Within the NICHD Fetal Growth Studies-Singleton Cohort, plasma levels of acylcarnitines and cardiometabolic biomarkers were measured at gestational week (GW) 10-14, 15-26, 23-31, and 33-39 among 107 GDM cases and 214 controls.

RESULTS

At GW 10-14, per standard deviation (SD) increased level of C14:1-OH was associated with a 55% increased risk of GDM after adjusting for major risk factors for GDM [OR (95% CI): 1.55 (1.05-2.29)]. At GW 15-26, C4, C8:1 and C16:1-OH were associated with an increased risk of GDM [OR (95% CI) for per SD increase: 1.42 (1.01-2.00), 1.41 (1.02-1.96), and 1.77 (1.10-2.84), respectively]. Whereas increased C10 and C18 were related to lower risk of GDM [OR (95% CI) for per SD increase: 0.74 (0.55-1.00), and 0.69 (0.49-0.97), respectively]. Moreover, we observed correlations of individual acylcarnitine with multiple clinical markers implicated in glucose homeostasis and cardiometabolic function among non-GDM women.

CONCLUSIONS

Our results demonstrate that several plasma acylcarnitine species are differentially associated with GDM risk by chain length. Future studies are warranted to investigate the distinct roles of individual acylcarnitine in glucose homeostasis in pregnancy.

Postpartum circulating microRNA enhances prediction of future type 2 diabetes in women with previous gestational diabetes

AIMS/HYPOTHESIS

Type 2 diabetes mellitus is a major cause of morbidity and death worldwide. Women with gestational diabetes mellitus (GDM) have greater than a sevenfold higher risk of developing type 2 diabetes in later life. Accurate methods for postpartum type 2 diabetes risk stratification are lacking. Circulating microRNAs (miRNAs) are well recognised as biomarkers/mediators of metabolic disease. We aimed to determine whether postpartum circulating miRNAs can predict the development of type 2 diabetes in women with previous GDM.

METHODS

In an observational study, plasma samples were collected at 12 weeks postpartum from 103 women following GDM pregnancy. Utilising a discovery approach, we measured 754 miRNAs in plasma from type 2 diabetes non-progressors (n = 11) and type 2 diabetes progressors (n = 10) using TaqMan-based real-time PCR on an OpenArray platform. Machine learning algorithms involving penalised logistic regression followed by bootstrapping were implemented.

RESULTS

Fifteen miRNAs were selected based on their importance in discriminating type 2 diabetes progressors from non-progressors in our discovery cohort. The levels of miRNA miR-369-3p remained significantly different (p < 0.05) between progressors and non-progressors in the validation sample set (n = 82; 71 non-progressors, 11 progressors) after adjusting for age and correcting for multiple comparisons. In a clinical model of prediction of type 2 diabetes that included six traditional risk factors (age, BMI, pregnancy fasting glucose, postpartum fasting glucose, cholesterol and triacylglycerols), the addition of the circulating miR-369-3p measured at 12 weeks postpartum improved the prediction of future type 2 diabetes from traditional AUC 0.83 (95% CI 0.68, 0.97) to an AUC 0.92 (95% CI 0.84, 1.00).

CONCLUSIONS

This is the first demonstration of miRNA-based type 2 diabetes prediction in women with previous GDM. Improved prediction will facilitate early lifestyle/drug intervention for type 2 diabetes prevention.

Establishment of clinical diagnostic models using glucose, lipid, and urinary polypeptides in gestational diabetes mellitus

BACKGROUND

Gestational diabetes mellitus (GDM) has many adverse outcomes that seriously threaten the short-term and long-term health of mothers and infants. This study comprehensively analyzed the clinical diagnostic value of GDM-related clinical indexes and urine polypeptide research results, and established comprehensive index diagnostic models.

METHODS

In this study, diagnostic values from the clinical indexes of serum triglyceride (TRIG), high-density lipoprotein cholesterol (HDL-C), fasting plasma glucose (FPG) and glycosylated hemoglobin (HbA1c), and 7 GDM-related urinary polypeptides were analyzed retrospectively. The multiple logistic regression equation, multilayer perceptron neural network model, radial basis function, and discriminant analysis function models of GDM-related indexes were established using machine language.

RESULTS

The results showed that HbA1c had the highest diagnostic value for GDM, with an area under the curve (AUC) of 0.769. When the cut-off value was 4.95, the diagnostic sensitivity and specificity were 70.5% and 70.0%, respectively. Among the seven GDM-related urinary polypeptides, human hemopexin (HEMO) had the highest diagnostic value, with an AUC of 0.690. When the cut-off value was 368.5, the sensitivity and specificity were 79.5% and 43.3%, respectively. The AUC of the multilayer perceptron neural network model was 0.942, followed by binary logistic regression (0.938), radial basis function model (0.909), and the discriminant analysis function model (0.908).

CONCLUSION

The establishment of a GDM diagnostic model combining blood glucose, blood lipid, and urine polypeptide indexes can lay a foundation for exploring machine language and artificial intelligence in diagnostic systems.

COVID-19 vaccination in pregnant and lactating diabetic women

AIM

To discuss available information on the opportunity for pregnant women affected by diabetes/obesity to receive COVID-19 vaccine.

DATA SYNTHESIS

Pregnant women with SARS-CoV-2 (COVID-19) infection are at high risk for severe acute respiratory syndrome and adverse outcomes. Pregnant women with severe COVID-19 present increased rates of preterm delivery (<37 gestational weeks), cesarean delivery and neonatal admissions to the intensive care unit. Comorbidity such as diabetes (pregestational or gestational) or obesity further increased maternal and fetal complications. It is known that diabetic or obese patients with COVID-19 present an unfavorable course and a worse prognosis, with a direct association between worse outcome and suboptimal glycol-metabolic control or body mass index (BMI) levels. Critical COVID-19 infection prevention is important for both mother and fetus. Vaccination during pregnancy is a common practice. Vaccines against COVID-19 are distributed across the world with some population considered to have a priority. Since pregnant women are excluded from clinical trials very little information are available on safety and efficacy of COVD-19 vaccines during pregnancy. However, it is well known the concept of passive immunization of the newborn obtained with transplacental passage of protective antibodies into the fetal/neonatal circulation after maternal infection or vaccination. Moreover, it has been reported that COVID-19 vaccine-induced IgG pass to the neonates through breastmilk. Therefore, maternal vaccination can protect mother, fetus and baby.

CONCLUSIONS

After an individual risk/benefit evaluation pregnant and lactating women should be counselled to receive COVID-19 vaccines.

Maternal gut microbiota displays minor changes in overweight and obese women with GDM

BACKGROUND AND AIMS

Previous literature have shown a diversity of findings regarding the relationship between the maternal gut microbiota and gestational diabetes mellitus (GDM). We investigated the gut microbiota of overweight and obese women with gestational diabetes mellitus (GDM) against matched euglycaemic women at 16 and 28-weeks' gestation.

METHODS AND RESULTS

This study included women from the SPRING (Study of PRobiotics IN Gestational diabetes) cohort. Overweight and obese women with no impaired glucose tolerance or impaired fasted glucose were enrolled prior to gestational age <16 weeks. Participants with a diagnosis of GDM (n = 29) were matched with euglycaemic (n = 29) women for body mass index, probiotic or placebo intervention, maternal age, parity and ethnicity. Anthropometric, clinical and fecal microbiota (16S rRNA amplicon-based sequencing of V6-V8 region) data was assessed at 16 and 28-weeks' gestation. The relative abundances of key bacterial genera were not significantly altered between euglycaemic women and women with GDM. Occurrence of bacterial taxa was similar between groups at both timepoints. GDM was associated with decreased Shannon diversity (p = 0.02) without differentiated clustering measured by beta diversity at 28-weeks' gestation.

CONCLUSIONS

Overweight and obese women with GDM demonstrate minor variation in the gut microbiota at 16 and 28-weeks' gestation compared with matched euglycaemic women. This study expands on previous literature concluding the microbiota does not likely have a disease-specific characterisation in GDM.

Association of circulating omega 3, 6 and 9 fatty acids with gestational diabetes mellitus: a systematic review

BACKGROUND

Gestational diabetes mellitus (GDM) is associated with increased risks of disease for mother and child during pregnancy and after that. Early diagnosis of GDM would promote both maternal and fetal health. Metabolomics can simplify and develop our understanding of the etiology, manifestation, or pathophysiology of the disease. This systematic review investigates the association of circulating omega 3, 6, and 9 fatty acids with GDM.

METHODS

We conducted a systematic search of PubMed, Scopus, Web of Science, and EMBASE databases up to May 8, 2020, using the key term combinations of all types of omega fatty acids with gestational diabetes mellitus. Additional articles were identified through searching the reference lists of included studies.

RESULTS

This systematic review included 15 articles. Five were cohort studies, four included nested case-control studies and four were case-control studies. The results of this study demonstrate an increasing trend in the amount of oleic acid and palmitoleic acid in the second trimester and an increase in decosahexanoic acid in the third trimester of GDM mothers. The changes in other fatty acids of interest are either not significant or if significant, their results are inconsistent with the other existing articles.

CONCLUSIONS

Omega fatty acids, as potential biomarkers, are considered to be associated with GDM risk and thus provide useful information regarding the prevention and early diagnosis of GDM. Moreover, existing metabolomic studies on GDM are shown to provide conflicting results about metabolite profile characteristics. This systematic review was registered at PROSPERO ( www.crd.york.ac.uk/PROSPERO ) as CRD42020196122.