[Exploring the Causal Relationship Between Coagulation Function and Gestational Diabetes Mellitus Through Mendelian Randomization]. / å­Ÿå¾·å°”éšæœºåŒ–æŽ¢ç´¢å‡è¡€åŠŸèƒ½ä¸Žå¦Šå¨ æœŸç³–å°¿ç— çš„å› æžœå ³ç³».

Objective: To explore the causal association between coagulation function, including von Willebrand factor (vWF), a disintegrin and metalloproteinase with thrombospondin type 1 motif, member 13 (ADAMTS13), activated partial thromboplastin time (aPTT), coagulation factor Ⅷ (FⅧ), coagulation factor Ⅺ (FⅪ), coagulation factor Ⅶ (FⅦ), coagulation factor Ⅹ (FⅩ), endogenous thrombin potential (ETP), plasminogen activator inhibitor-1 (PAI-1), protein C, and plasmin, and gestational diabetes mellitus (GDM) using two-sample two-way Mendelian randomization (MR), and to provide genetic evidence for the association between coagulation function and the pathogenesis of GDM. Methods: The IEU OpenGWAS database was accessed using the R package TwoSampleMR (v 0.5.6) to obtain the statistical data of the genome-wide association study (GWAS) summary of GDM. MR analysis of the causal association between 11 coagulation function and GDM was performed by the inverse-variance weighted method (IVW), the MR-Egger method, and the weighted median method (WM). Results: In this study, the GWAS summary statistics of GDM (covering 5 687 cases and 117 892 controls) were used for MR analysis. It was found that there was a causal relationship between the predicted plasma FⅧ level and the risk for GDM (IVW: [odds ratio, OR]=0.28, 95% confidence interval [CI]: 0.10-0.75, P<0.001; WM: OR=0.30, 95% CI: 0.09-0.98, P<0.001). There was no causal relationship between other coagulation function and the risk for GDM (P>0.05). Conclusion: There is a significant causal relationship between the plasma FⅧ level and the risk for GDM. This finding highlights the complex interaction between coagulation function and glucose metabolism during pregnancy, but further research on this finding is warranted.

Gut antibiotic resistome during pregnancy associates with the risk of gestational diabetes mellitus: New evidence from a prospective nested case-control study.

Antibiotic resistome has emerged as a global threat to public health. However, gestational antibiotic resistome and potential link with adverse pregnancy outcomes remains poorly understood. Our study reports for the first time an association between gut antibiotic resistome during early pregnancy and the risk of gestational diabetes mellitus (GDM) based on a prospective nested case-control cohort including 120 cases and 120 matched controls. A total of 214 antibiotic resistance gene (ARG) subtypes belonging to 17 ARG types were identified in > 10 % fecal samples collected during each trimester. The data revealed dynamic profiles of gut antibiotic resistome through pregnancy, and significant positive associations between selected features (i.e., ARG abundances and a GDM-ARG score which is a new feature characterizing the association between ARGs and GDM) of gut antibiotic resistome during early pregnancy and GDM risk as well as selected endogenous metabolites. The findings demonstrate ubiquitous presence of ARGs in pregnant women and suggest it could constitute an important risk factor for the development of GDM.

Landscapes of maternal and neonatal gut microbiome and plasma metabolome signatures and their interaction in gestational diabetes mellitus.

BACKGROUND: Gestational diabetes mellitus (GDM) is prevalent among pregnant individuals and is linked to increased risks for both mothers and foetuses. Although GDM is known to cause disruptions in gut microbiota and metabolites, their potential transmission to the foetus has not been fully explored. This study aimed to characterize the similarities in microbial and metabolic signatures between mothers with GDM and their neonates as well as the interactions between these signatures. METHODS: This study included 89 maternal-neonate pairs (44 in the GDM group and 45 in the normoglycaemic group). We utilized 16S rRNA gene sequencing and untargeted metabolomics to analyse the gut microbiota and plasma metabolomics of mothers and neonates. Integrative analyses were performed to elucidate the interactions between these omics. RESULTS: Distinct microbial and metabolic signatures were observed in GDM mothers and their neonates compared to those in the normoglycaemic group. Fourteen genera showed similar alterations across both groups. Metabolites linked to glucose, lipid, and energy metabolism were differentially influenced in GDM, with similar trends observed in both mothers and neonates in the GDM group. Network analysis indicated significant associations between Qipengyuania and metabolites related to bile acid metabolism in mothers and newborns. Furthermore, we observed a significant correlation between several genera and metabolites and clinical phenotypes in normoglycaemic mothers and newborns, but these correlations were disrupted in the GDM group. CONCLUSION: Our findings suggest that GDM consistently affects both the microbiota and metabolome in mothers and neonates, thus elucidating the mechanism underlying metabolic transmission across generations. These insights contribute to knowledge regarding the multiomics interactions in GDM and underscore the need to further investigate the prenatal environmental impacts on offspring metabolism.

Immunometabolic profiling related with gestational diabetes mellitus: a nested case-control study of CD4+ T cell phenotypes and glycemic traits.

AIMS: To investigate immunometabolic associations of CD4+ T cell phenotypes with gestational diabetes mellitus (GDM). METHODS: A nested case-control study was conducted comprising 53 pairs of GDM patients and matched controls within a prospective cohort. Metabolomic signatures related to both CD4+ T cell phenotypes and glycemic traits among pregnant women were investigated by weighted gene co-expression network analysis (WGCNA). Multivariable-adjusted generalized linear models were used to explore the associations of CD4+ T cell phenotypes and selected metabolites with GDM. Mediation analysis was conducted to evaluate the mediating effect of selected metabolites on the relationship between CD4+ T cell phenotypes and glycemic traits. RESULTS: Higher levels of Treg cells (OR per SD increment (95%CI): 0.57 (0.34, 0.95), p = 0.031) and increased expression of Foxp3 (OR per SD increment (95%CI): 0.59 (0.35, 0.97), p = 0.039) and GATA3 (OR per SD increment (95%CI): 0.42 (0.25, 0.72), p = 0.002) were correlated with a decreased risk of GDM. Plasma pyruvaldehyde, S-adenosylhomocysteine (SAH), bergapten, and 9-fluorenone mediated the association between Tregs and fasting plasma glucose (FPG), with mediation proportions of 46.9%, 39.6%, 52.4%, and 56.9%, respectively. CONCLUSIONS: Treg cells and Foxp3 expressions were inversely associated with GDM risk, with potential metabolic mechanisms involving metabolites such as pyruvaldehyde and SAH.

Associations between first-trimester screening biomarkers and maternal characteristics with gestational diabetes mellitus in Chinese women.

Background: Gestational diabetes mellitus (GDM) can result in adverse maternal and neonatal outcomes. Predicting those at high risk of GDM and early interventions can reduce the development of GDM. The aim of this study was to examine the associations between first-trimester prenatal screening biomarkers and maternal characteristics in relation to GDM in Chinese women. Methods: We conducted a retrospective cohort study of singleton pregnant women who received first-trimester aneuploidy and preeclampsia screening between January 2019 and May 2021. First-trimester prenatal screening biomarkers, including pregnancy-associated plasma protein A (PAPP-A), free beta-human chorionic gonadotropin, and placental growth factor (PLGF), along with maternal characteristics, were collected for analysis in relation to GDM. Receiver operating characteristic (ROC) curve and logistic regression analyses were used to evaluate variables associated with GDM. Results: Of the 1452 pregnant women enrolled, 96 developed GDM. PAPP-A (5.01 vs. 5.73 IU/L, P < 0.001) and PLGF (39.88 vs. 41.81 pg/mL, P = 0.044) were significantly lower in the GDM group than in the non-GDM group. The area under the ROC curve of combined maternal characteristics and biomarkers was 0.73 (95% confidence interval [CI] 0.68-0.79, P < 0.001). The formula for predicting GDM was as follows: P = 1/[1 + exp (-8.148 + 0.057 x age + 0.011 x pregestational body mass index + 1.752 x previous GDM history + 0.95 x previous preeclampsia history + 0.756 x family history of diabetes + 0.025 x chronic hypertension + 0.036 x mean arterial pressure - 0.09 x PAPP-A - 0.001 x PLGF)]. Logistic regression analysis revealed that higher pregestational body mass index (adjusted odds ratio [aOR] 1.03, 95% CI 1.01 - 1.06, P = 0.012), previous GDM history (aOR 9.97, 95% CI 3.92 - 25.37, P < 0.001), family history of diabetes (aOR 2.36, 95% CI 1.39 - 4.02, P = 0.001), higher mean arterial pressure (aOR 1.17, 95% CI 1.07 - 1.27, P < 0.001), and lower PAPP-A level (aOR 0.91, 95% CI 0.83 - 1.00, P = 0.040) were independently associated with the development of GDM. The Hosmer-Lemeshow test demonstrated that the model exhibited an excellent discrimination ability (chi-square = 3.089, df = 8, P = 0.929). Conclusion: Downregulation of first-trimester PAPP-A and PLGF was associated with the development of GDM. Combining first-trimester biomarkers with maternal characteristics could be valuable for predicting the risk of GDM.

AKT1 and MAPK8: New Targets for Gestational Diabetes Mellitus?

Objective: Gestational diabetes mellitus (GDM) disrupts placental function and increases risks for pregnancy. This study investigates the potential involvement of AKT1 and MAPK8 genes, known for their roles in insulin resistance and cell signaling, in GDM pathophysiology. Methods: Placental tissues from GDM patients and healthy controls were analyzed using real-time PCR to quantify gene expression levels. In silico analysis further explored the functional implications of expression changes. Results: AKT1 and MAPK8 displayed significantly altered expression in GDM placentas compared to controls (p = 0.047 and p = 0.007, respectively). In silico analysis suggests potential functional consequences related to diabetes-associated pathways. Conclusion: This study identifies differential expression of AKT1 and MAPK8 in GDM placentas, suggesting their potential roles in the disease process. Further investigation into their functional contributions could provide valuable insights into GDM pathophysiology and potential therapeutic targets.

Risk cycling in diabetes and autism spectrum disorder: a bidirectional Mendelian randomization study.

Objective: The relationship between diabetes mellitus (DM) and autism spectrum disorder (ASD) remains controversial. This study aimed to analyze the causal relationship between different types of DM and ASD by bidirectional Mendelian randomization (MR). Methods: Single nucleotide polymorphisms for type 1 diabetes mellitus (T1DM), type 2 diabetes mellitus (T2DM), gestational diabetes mellitus (GDM), and ASD were obtained from genome-wide association studies. Subsequently, inverse variance weighted, MR-Egger, and weighted median were used to test the exposure-outcome causality. Finally, MR-Egger's intercept, Cochran's Q, and leave-one-out method were used to assess horizontal pleiotropy, heterogeneity, and sensitivity of the results, respectively. Results: The positive analysis showed that T2DM was associated with an increased risk of ASD, whereas neither T1DM nor GDM was associated with the risk of ASD. The reverse analysis showed that ASD was associated with an increased risk of T2DM, while it was not associated with the risk of either T1DM or GDM. MR-Egger intercept showed no horizontal pleiotropy (p > 0.05) for these results. Cochran's Q showed no heterogeneity expect for the results of T1DM on the risk of ASD, and leave-one-out sensitivity analysis showed these results were robust. Conclusion: This MR analysis suggests that T2DM and ASD are reciprocal risk factors and that they may create an intergenerational risk cycling in female patients. Aggressive prevention and treatment of T2DM and ASD help to break the trap of this risk cycling. Additionally, this study does not support a causal relationship between T1DM and ASD, as well as GDM and ASD. And more studies are needed in the future to continue to explore the interactions and underlying mechanisms between different types of DM and ASD.

Microbial Etiology, Antimicrobial Resistance, and Risk Factors of Surgical Site Infections in Gestational Diabetes Mellitus Patients Undergoing Elective Pre-Labor Cesarean Deliveries.

Background: Gestational Diabetes Mellitus (GDM) significantly increases the risk of adverse pregnancy outcomes, including elective pre-labor cesarean deliveries. Postoperative surgical site infections (SSIs) pose a significant concern, underscoring the need for a detailed investigation into their causes and preventative measures. The aim of this study is to systematically identify and analyze the microbial etiology and antimicrobial resistance profiles of pathogens responsible for SSIs in GDM patients undergoing elective pre-labor cesarean deliveries. Additionally, this research aims to elucidate the risk factors contributing to SSIs, with a specific focus on operation duration, amniotic fluid contamination, and genital tract inflammation, and their correlation with the incidence of SSIs. Methods: A retrospective analysis was conducted at our Hospital between September 2018 and July 2023, involving 150 GDM patients who underwent elective pre-labor cesarean deliveries. Patients were categorized into infected and uninfected groups based on postoperative SSIs. Clinical data were meticulously collected and analyzed using SPSS software (version 27.0). Independent sample t-tests and chi-square tests were employed for statistical analysis. Results: Microbial profiling revealed that Gram-negative bacteria, primarily E. coli, constituted approximately 59.46% of the isolated strains, exhibiting significant resistance to commonly used antibiotics such as ampicillin and cefotaxime. Elevated levels of biomarkers, including Procalcitonin (PCT) and Hemoglobin A1c (HbA1c), were significantly associated with SSIs. Multivariate logistic regression analysis identified operation time ≥1-hour, amniotic fluid contamination, and genital tract inflammation as significant risk factors. Conclusion: This study highlights the microbial etiology, resistance patterns, and risk factors for SSIs in GDM cesarean patients, emphasizing the need for tailored preoperative evaluations.

Metabolic factors and perinatal outcomes among pregnant individuals with mild glucose intolerance.

AIMS: Metabolic characteristics and outcomes were compared among pregnant individuals with varying levels of glucose intolerance. METHODS: 827 participants from a randomized clinical trial comparing the IADPSG and Carpenter Coustan Criteria were grouped as follows: normal glucose tolerance, mild glucose intolerance (100 g OGTT with one abnormal value) and treated GDM (diagnosed by Carpenter Coustan or IADPSG criteria). Differences in metabolic characteristics and perinatal outcomes were assessed using inverse probability of treatment weighting. RESULTS: Mild glucose intolerance had lower insulin sensitivity and beta cell response than normal glucose tolerance, and similar findings to treated GDM. Small for gestational age (SGA) (OR 0.13, 95% CI 0.08-0.24) and neonatal composite morbidity were lower (OR 0.53, 95% CI 0.38-0.74), and maternal composite morbidity higher (OR 2.03, 95% CI 1.57-2.62) when comparing mild intolerance to normal glucose tolerance. Large for gestational age (OR 3.42 95% CI 1.39-8.41) was higher while SGA (OR 0.21, 95% CI 0.05-0.81) and neonatal composite morbidity (OR 0.31, 95% CI 0.17-0.57) were lower with mild glucose intolerance compared to treated GDM. CONCLUSIONS: Mild glucose intolerance has a similar metabolic profile to treated GDM, and outcome differences are likely related to knowledge of diagnosis and treatment. CLINICAL TRIALS REGISTRY: NCT02309138.

The impact of PM2.5 and its constituents on gestational diabetes mellitus: a retrospective cohort study.

BACKGROUND: There is increasing evidence that exposure to PM2.5 and its constituents is associated with an increased risk of gestational diabetes mellitus (GDM), but studies on the relationship between exposure to PM2.5 constituents and the risk of GDM are still limited. METHODS: A total of 17,855 pregnant women in Guangzhou were recruited for this retrospective cohort study, and the time-varying average concentration method was used to estimate individual exposure to PM2.5 and its constituents during pregnancy. Logistic regression was used to assess the relationship between exposure to PM2.5 and its constituents and the risk of GDM, and the expected inflection point between exposure to PM2.5 and its constituents and the risk of GDM was estimated using logistic regression combined with restricted cubic spline curves. Stratified analyses and interaction tests were performed. RESULTS: After adjustment for confounders, exposure to PM2.5 and its constituents (NO3-, NH4+, and OM) was positively associated with the risk of GDM during pregnancy, especially when exposure to NO3- and NH4+ occurred in the first to second trimester, with each interquartile range increase the risk of GDM by 20.2% (95% CI: 1.118-1.293) and 18.2% (95% CI. 1.107-1.263), respectively. The lowest inflection points between PM2.5, SO42-, NO3-, NH4+, OM, and BC concentrations and GDM risk throughout the gestation period were 18.96, 5.80, 3.22, 2.67, 4.77 and 0.97 µg/m3, respectively. In the first trimester, an age interaction effect between exposure to SO42-, OM, and BC and the risk of GDM was observed. CONCLUSIONS: This study demonstrates a positive association between exposure to PM2.5 and its constituents and the risk of GDM. Specifically, exposure to NO3-, NH4+, and OM was particularly associated with an increased risk of GDM. The present study contributes to a better understanding of the effects of exposure to PM2.5 and its constituents on the risk of GDM.

Enhanced recovery after surgery in elective cesarean section patients with gestational diabetes mellitus does not lead to glucose-related maternal and neonatal complications.

Objective: For elective cesarean section patients with gestational diabetes mellitus (GDM), there is a lack of evidence-based research on the use of enhanced recovery after surgery (ERAS). This study aims to compare the ERAS after-surgery protocol and traditional perioperative management. Research design and methods: In this retrospective cohort study, singleton pregnancies with good glucose control GDM, delivered by elective cesarean sections under intravertebral anesthesia at least 37 weeks from January 1 to December 31, 2022, were collected at the Third Affiliated Hospital of Sun Yat-sen University. We divided all enrolled pregnant women and newborns into an ERAS group and a control group (the traditional perioperative management group) based on their adherence to the ERAS protocol. The primary outcome was the preoperative blood glucose level, with an increase of more than 1 mmol/L indicating clinical significance when compared to the control group. The secondary outcome was centered around an adverse composite outcome that affected both mothers and newborns. Results: We collected a total of 161 cases, with 82 in the ERAS group and 79 in the control group. Although the mean preoperative blood glucose level in the ERAS group was significantly higher than in the control group (5.01 ± 1.06 mmol/L vs. 4.45 ± 0.90 mmol/L, p<0.001), the primary outcome revealed that the mean glycemic difference between the groups was 0.47 mmol/L (95% CI 0.15-0.80 mmol/L), which was below the clinically significant difference of 1 mmol/L. For the secondary outcomes, the ERAS group had an 86% lower risk of a composite adverse outcome compared to the control group. This included a 73% lower risk of perioperative maternal hypoglycemia and a 92% lower rate of neonatal hypoglycemia, all adjusted by age, hypertensive disorder of pregnancy, BMI, gestational weeks, primigravidae, primary pregnancy, GDM, surgery duration, and fasting glucose. Conclusion: Implementing a low-dose carbohydrate ERAS in pregnant women with GDM prior to elective cesarean section, compared to traditional perioperative management, does not lead to clinically significant maternal glucose increases and thus glucose-related maternal or neonatal perioperative complications.

Integrating polygenic risk scores in the prediction of gestational diabetes risk in China.

Background: Polygenic risk scores (PRS) serve as valuable tools for connecting initial genetic discoveries with clinical applications in disease risk estimation. However, limited studies have explored the association between PRS and gestational diabetes mellitus (GDM), particularly in predicting GDM risk among Chinese populations. Aim: To evaluate the relationship between PRS and GDM and explore the predictive capability of PRS for GDM risk in a Chinese population. Methods: A prospective cohort study was conducted, which included 283 GDM and 2,258 non-GDM cases based on demographic information on pregnancies. GDM was diagnosed using the oral glucose tolerance test (OGTT) at 24-28 weeks. The strength of the association between PRS and GDM odds was assessed employing odds ratios (ORs) with 95% confidence intervals (CIs) derived from logistic regression. Receiver operating characteristic curves, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were employed to evaluate the improvement in prediction achieved by the new model. Results: Women who developed GDM exhibited significantly higher PRS compared to control individuals (OR = 2.01, 95% CI = 1.33-3.07). The PRS value remained positively associated with fasting plasma glucose (FPG), 1-hour post-glucose load (1-h OGTT), and 2-hour post-glucose load (2-h OGTT) (all p < 0.05). The incorporation of PRS led to a statistically significant improvement in the area under the curve (0.71, 95% CI: 0.66-0.75, p = 0.024) and improved discrimination and classification (IDI: 0.007, 95% CI: 0.003-0.012, p < 0.001; NRI: 0.258, 95% CI: 0.135-0.382, p < 0.001). Conclusions: This study highlights the increased odds of GDM associated with higher PRS values and modest improvements in predictive capability for GDM.

The effect of gestational diabetes mellitus on postnatal mother-infant bonding: Findings from the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study.

PURPOSE: Gestational diabetes mellitus (GDM) is a common complication of pregnancy and is associated with considerable psychological burden for women. In qualitative research, women with GDM describe increased awareness about their bonding with their infant, potentially resulting from the highly medicalised nature of the condition. The primary aim is to examine quantitatively whether GDM was associated with lower mother-infant bonding in the postnatal period. METHODS: Data were analysed from 10,419 women who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study from 2013 to 2017 in Japan. GDM status was collected from hospital records and measured using the oral glucose tolerance test. Mother-infant bonding was assessed using the Japanese version of Mother-to-Infant Bonding Scale (MIBS-J) at one-month postpartum, higher scores representing lower bonding. Data were analysed in SAS using multiple regression adjusting for relevant confounders. RESULTS: GDM did not appear to be associated with worse mother-infant bonding scores at one-month postpartum. There was a non-significant unadjusted trend in the mean mother-infant bonding scores and the proportion with bonding disorder (n = 4 (4.12%) versus n = 969 (9.39%)) in the GDM versus non GDM group respectively, indicating higher self-reported bonding in the GDM group, and this remained not statistically significant in the adjusted analyses. CONCLUSIONS: We observed the reverse of our hypothesis, that there was a trend for women with GDM to self-report higher bonding compared to non-GDM women. There is need to replicate this finding in cohorts specifically designed to measure GDM-specific psychological distress.

Barriers and system improvements for physical activity promotion after gestational diabetes: A qualitative exploration of the views of healthcare professionals.

AIM: Physical activity is an important behaviour for managing the ten times increased risk of type 2 diabetes after gestational diabetes. Previous studies exploring physical activity promotion in healthcare focus on general practitioners but have not explored the gestational diabetes pathway. Therefore, this paper explores the barriers to and suggestions for, activity promotion along the gestational diabetes healthcare pathway. METHODS: The paper was written in accordance with the Standards for Reporting Qualitative Research. Patient and Public Involvement with women who had lived experiences of gestational diabetes informed purposeful sampling by identifying which healthcare professional roles should be targeted in participant recruitment. Participants were recruited through word-of-mouth, that is, email and connections with local healthcare service leads. Twelve participants took part in semi-structured one-to-one interviews, analysed using reflexive thematic analysis. RESULTS: Participants included a Public Health Midwife (n = 1), Diabetes Midwifes (n = 3), Diabetes Dietitian (n = 1), Diabetes Consultants (n = 2), Diabetes Specialist Nurse (n = 1), general practitioners (n = 2), Practice nurse (n = 1) and a Dietitian from the UK National Diabetes Prevention Program (n = 1). Six themes were generated: 'management of gestational diabetes takes precedent', 'poor continuity of care', 'lack of capacity to promote PA', 'beliefs about the acceptability of PA promotion', 'resources to support conversations about PA' and 'adapting healthcare services for women post-gestational diabetes'. CONCLUSIONS: During pregnancy messaging around physical activity is consistent, yet this is specific for managing gestational diabetes and is not followed through postnatally. Improvements in continuity of care are necessary, in addition to ensuring the availability and links with wider exercise and activity schemes.

Association between SARS-CoV-2 infection during pregnancy and gestational diabetes: a claims-based cohort study.

INTRODUCTION: Coronavirus disease 2019 (COVID-19) may be associated with gestational diabetes mellitus (GDM); however, evidence is limited by sample sizes and lack of control groups. METHODS: To assess the GDM risk after COVID-19 in pregnancy, we constructed a retrospective cohort of pregnancies ending March 2020-October 2022 using medical claims. People with COVID-19 diagnosis claims from conception to 21 gestational weeks (n = 57,675) were matched 1:2 to those without COVID-19 during pregnancy (n =115,350) by age-range, pregnancy start month, and encounter year-month. GDM (claim ≥23 gestational weeks) relative risk and risk difference overall, by race and ethnicity, and variant period were estimated using log-binomial models. RESULTS: GDM risk was higher among those with COVID-19 during pregnancy compared to those without (adjusted risk ratio, aRR = 1.12, 95% CI: 1.08-1.15). GDM risk was significantly associated with COVID-19 in non-Hispanic (NH) White (aRR = 1.08, 95% CI: 1.04-1.14), NH Black (aRR=1.15, 95% CI: 1.07-1.24), and Hispanic (aRR = 1.17, 95% CI: 1.10-1.24) groups. GDM risk was significantly higher during pre-Delta (aRR = 1.17, 95% CI: 1.11-1.24) as compared to Omicron (aRR = 1.07, 95% CI: 1.02-1.13) periods, but neither differed from the Delta period (aRR = 1.10, 95% CI: 1.04-1.17). The adjusted risk difference was 0-2% for all models. CONCLUSIONS: COVID-19 during pregnancy was modestly associated with GDM in claims-based data, especially during earlier SARS-CoV-2 variant periods. As these associations are based on COVID-19 in claims data, studies employing systematic testing are warranted.

Gestational Diabetes Mellitus-Induced Milk Fat Globule Membrane Protein Changes of Human Mature Milk Based on TMT Proteomic Analysis.

Breastfeeding by mothers with gestational diabetes mellitus (GDM) has been shown to reduce maternal insulin demands and diminish the risks of diabetes in infants, leading to improved long-term health outcomes. Milk fat globule membrane (MFGM) proteins play a crucial role in influencing the immunity and cognitive development of infants. Understanding the alterations in MFGM proteins in breastmilk from mothers with GDM is essential for enhancing their self-efficacy and increase breastfeeding rates. The objective of this study is to investigate and compare MFGM proteins in milk from mothers with GDM and without based on tandem mass tag (TMT) labeling and liquid chromatography tandem mass spectrometry (LC-MS) techniques. A total of 5402 proteins were identified, including 4 upregulated proteins and 24 downregulated proteins. These significantly altered proteins were found to be associated with human diseases, cellular processes, and metabolism pathways. Additionally, the oxidative phosphorylation pathway emerged as the predominant pathway through Gene Set Enrichment Analysis (GSEA) involving all genes.

Effect of treatment for early gestational diabetes mellitus on neonatal respiratory distress: A secondary analysis of the TOBOGM study.

OBJECTIVE: To identify factors associated with neonatal respiratory distress (NRD) in early Gestational diabetes mellitus (eGDM). DESIGN: Nested case-control analysis of the TOBOGM trial. SETTING: Seventeen hospitals: Australia, Sweden, Austria and India. POPULATION: Pregnant women, <20 weeks' gestation, singleton, GDM risk factors. METHODS: Women with GDM risk factors completed an oral glucose tolerance test (OGTT) before 20 weeks: those with eGDM (WHO-2013 criteria) were randomised to immediate or deferred GDM treatment. Logistic regression compared pregnancies with/without NRD, and in pregnancies with NRD, those with/without high-dependency nursery admission for ≤24 h with those admitted for >24 h. Comparisons were adjusted for age, pre-pregnancy body mass index, ethnicity, smoking, primigravity, education and site. Adjusted odds ratios (95% CI) are reported. MAIN OUTCOME MEASURES: NRD definition: ≥4 h of respiratory support (supplemental oxygen or supported ventilation) postpartum. Respiratory distress syndrome (RDS): Supported ventilation and ≥24 h nursery stay. RESULTS: Ninety-nine (12.5%) of 793 infants had NRD; incidence halved (0.50, 0.31-0.79) if GDM treatment was started early. NRD was associated with Caesarean section (2.31, 1.42-3.76), large for gestational age (LGA) (1.83, 1.09-3.08) and shorter gestation (0.95, 0.93-0.97 per day longer). Among NRD infants, >24 h nursery-stay was associated with higher OGTT 1-h glucose (1.38, 1.08-1.76 per mmol/L). Fifteen (2.0%) infants had RDS. CONCLUSIONS: Identifying and treating eGDM reduces NRD risk. NRD is more likely with Caesarean section, LGA and shorter gestation. Further studies are needed to understand the mechanisms behind this eGDM complication and any long-term effects.

Serum CD44 levels in early pregnancy and its genetic variants for increased risk of gestational diabetes mellitus in Chinese pregnant women.

This study aimed to explore associations of serum cluster of differentiation 44 (CD44) levels and its genetic variants in early pregnancy with gestational diabetes mellitus (GDM). We conducted a 1:1 case-control study (n = 414) nested in a prospective cohort of 22,302 pregnant women recruited from 2010 to 2012 in Tianjin, China. Blood samples were collected at the first antenatal care visit (at a median of 10th gestational week). Binary conditional logistic regressions were performed to examine associations of serum CD44 levels and its genetic variants with increased risk of GDM. In this study, we found that serum CD44 levels in early pregnancy was associated with GDM risk in a U-shaped manner. High serum CD44 levels and its genetic risk score in early pregnancy were associated with markedly increased risk of GDM after adjustment for traditional confounders (OR: 1.95, 95%CI: 1.12-3.40 & 1.95, 1.05-3.61). Furthermore, after adjustment for serum CD44 levels, the OR of CD44 genetic risk score for GDM was slightly attenuated but not significant (1.84, 0.98-3.48). In conclusion, serum CD44 levels and its genetic variants in early pregnancy were associated with GDM risk in Chinese pregnant women, with the effect of CD44 genetic variants being accounted for by serum CD44. SIGNIFICANCE: Recent studies suggested that pregnant women with GDM may have abnormal levels of CD44 and abnormal expression of CD44 gene, but it is uncertain whether abnormal CD44 plays a causal role in occurrence of GDM. Specifically, it remains unknown whether serum CD44 levels in early pregnancy and its genetic variants can predict the later occurrence of GDM. In this study, we found that high serum CD44 levels in early pregnancy and its genetic variants were associated with markedly increased risk of GDM in Chinese pregnant women, with the effect of CD44 genetic variants being largely accounted for by serum CD44 levels. Our study is the first reporting that serum CD44 levels and its genetic variants were associated with markedly increased risk of GDM. These multi-omics risk markers may be useful for identification of women at high risk of GDM in early pregnancy. Our findings also provide new insights into the disease mechanisms.

The Relationship Between Gestational Diabetes and Postpartum Depression: A Systematic Review.

This study aims to examine the relationship between gestational diabetes mellitus (GDM) and the likelihood of postpartum depression (PPD) symptoms. PubMed, Scopus, Web of Science, ScienceDirect, and the Wiley Online Library were systematically searched for relevant literature. Our results included eight studies with a total of 4,209 women diagnosed with GDM and/or PPD. The prevalence of PPD in women diagnosed with GDM ranged from 6.5% to 48.4%. The included studies demonstrated that PPD was more likely to strike women with GDM. One study reported that the most severe type of GDM is more likely to occur in those with a history of depression. Perinatal depression during pregnancy can be strongly predicted by age, BMI, and a personal history of depression. The findings imply that GDM and the likelihood of depression during the postpartum phase are related. It was also found that there was a positive correlation between depression and the chance of having GDM. This emphasizes how the association between GDM and depression appears to be reciprocal. However, the association does not imply causation, and the data at hand do not allow for the establishment of causality. Subsequent studies ought to endeavor to show causative connections between GDM and depression as well as pinpoint shared underlying endocrine variables that may play a role in the genesis of both conditions. The available information that is now available is limited due to the complexity of the etiology of both GD and depression in pregnant women; nonetheless, prevention of both conditions depends on a better understanding of the link between GD and depression. The risk of bias in the included studies was moderate to high.

Common obesity-related anthropometric indices and the risk of gestational diabetes mellitus in a Chinese population: a prospective cohort study.

OBJECTIVE: Anthropometric measurement provides a simple, noninvasive approach to evaluate obesity in pregnant women. We aimed to develop a predictive model utilizing anthropometric index for gestational diabetes mellitus (GDM), the most common obesity-related complications during pregnancy. METHODS: A prospective cohort of 4709 women was enrolled in Qingdao, China. Logistic regression model was constructed to determine the association of body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT) in the first trimester (<14 weeks' gestation) with GDM. The discrimination ability for GDM was assessed using areas under the receiver operating characteristic (ROC) curve (AUC). Delong tests were performed to compare AUC values between different measures. RESULTS: The GDM incidence was 19.50%. GDM risk increased with VAT during early pregnancy, and the risk increased by 117% (OR = 2.17, 95% CI: 1.23-2.83) to 326% (OR = 4.26, 95% CI: 2.29-7.91) in pregnant women with the second quartile or above after adjusting for confounders (all p<.05). Combined index using VAT and BMI demonstrated superior predictive power for GDM compared with BMI alone (p<.05), but didn't differ from VAT (p>.05). Overall, VAT was positively correlated with GDM occurrence, outperforming BMI, WHR, WHtR and SAT in the predicative model. A first-trimester VAT cutoff of 27.05 mm might be promising for GDM risk stratification. CONCLUSIONS: First-trimester routine ultrasound screening may facilitate earlier identification and intervention of GDM. Pregnant women with VAT above the optimal threshold (27.05 mm) might benefit from targeted GDM monitoring.