Objective The study aims to prospectively examine the association between the minimum dietary diversity for women(MDD-W)score and risk of gestational diabetes mellitus(GDM).Methods All participants were pregnant women...Objective The study aims to prospectively examine the association between the minimum dietary diversity for women(MDD-W)score and risk of gestational diabetes mellitus(GDM).Methods All participants were pregnant women enrolled in the Tongji Maternal and Child Health Cohort.Dietary intake was assessed using a food frequency questionnaire(FFQ)or 24-h dietary recall.The MDD-W score was constructed by categorizing all food items into 10 food groups,following the Food and Agriculture Organization guidelines.Oral glucose tolerance tests(OGTT)were conducted during 24−28 weeks of gestation to screen for GDM.Poisson regression models were used to assess the association between MDD-W scores and GDM risk.Results In total,357(11.8%)of the 3,026 women were diagnosed with GDM.Compared with participants whose MDD-W score was≥8,those with a score of 5−7 had an increased risk of GDM(relative risk(RR):1.32;95%confidence interval(CI):1.03,1.69),and those with a score≤4 had a significantly higher GDM risk(RR:1.58;95%CI:1.12,2.26).Furthermore,these findings indicate that pregnant women with MDD-W scores<8,in conjunction with being overweight or obese before pregnancy and excessive gestational weight gain,have the highest risk of developing GDM.Conclusions These data suggest that a higher MDD-W score during pregnancy is independently associated with a lower GDM risk.Therefore,promoting dietary diversity and weight management is recommended to protect pregnant women from developing gestational diabetes.展开更多
BACKGROUND Fasting glucose and glycated hemoglobin(HbA1c)were used to diagnose gestational diabetes during the coronavirus disease 2019(COVID-19)pandemic.AIM To determine whether the diagnostic criteria used during th...BACKGROUND Fasting glucose and glycated hemoglobin(HbA1c)were used to diagnose gestational diabetes during the coronavirus disease 2019(COVID-19)pandemic.AIM To determine whether the diagnostic criteria used during the COVID-19 pandemic may play a role outside the pandemic.METHODS From May 2022 to July 2024,354 females with an altered 50-g oral glucose tolerance test(OGTT),the usual diagnostic test(100-g OGTT),and the alternative diagnostic(A)criteria(fasting glucose≥95 mg/dL and/or HbA1c≥5.7%)were tested simultaneously,resulting in four different groups:OGTT+/A+(n=20);OGTT+/A-(n=60);OGTT-/A+(n=24);and OGTT-/A-(n=250).Groups were compared for clinical characteristics and obstetric and perinatal outcomes.RESULTS Sensitivity of the alternative criteria was 25%and specificity was 91.2%.Body mass index(BMI)was similar from the OGTT-/A+and OGTT+/A+groups(30.1±6.3 kg/m2and 32.7±5.3 kg/m2,respectively)and significantly higher from the OGTT+/A-and OGTT-/A-groups(26.8±5.1 kg/m2and 25.6±5.0 kg/m2,respectively).The between-group differences were similar for the respective rates of large for gestational age(LGA)infants(OGTT+/A+:38.9%,OGTT+/A-:11.8%,OGTT-/A+:29.4%,OGTT-/A-:12.4%;P=0.028).In the regression analysis a history of macrosomia[odds ratio(OR)=7.948,95%confidence interval(95%CI):2.269-27.842;P=0.001]and higher pregestational BMI(OR=1.069,95%CI:1.002-1.140;P=0.042)independently increased the risk of LGA.CONCLUSION Despite insufficient validity to replace the OGTT,alternative criteria identify a group of patients with a higher risk profile and adverse perinatal outcomes who could benefit for health interventions.展开更多
Exposure to environmental pollutants intricately contributes to the incidence of gestational diabetes mellitus(GDM),thus it is imperative to identify the key contaminants which may induce GDM risk in humans.Herein,we ...Exposure to environmental pollutants intricately contributes to the incidence of gestational diabetes mellitus(GDM),thus it is imperative to identify the key contaminants which may induce GDM risk in humans.Herein,we conducted a systematic review and meta-analysis on a total of 112 epidemiological studies to clarify the environmental risk factors for GDM occurrence.A total of 10 air pollutants,26 metal elements,and 8 categories of organic compounds were examined.Fixed-and random-effect models were used to calculate the pooled odds ratio and 95%confidence interval for evaluating the effects of contaminants.The results showed that exposure to air pollutants significantly increased GDM risk,with black carbon,PM2.5,PM10,carbon monoxide,nitric oxide,nitrogen oxides,and sulfur dioxide identified as potential risk factors(p<0.05).There was a markedly positive relationship between metal exposure and GDM risk,with aluminum,antimony,mercury,and rubidium contributing significantly to GDM incidence(p<0.05).Higher exposure to organic compounds was also associated with a greater risk of GDM,with polybrominated diphenyl ethers,per-and poly-fluoroalkyl substances(PFAS),phthalates,polychlorinated biphenyls,and organophosphate esters making significant contributions(p<0.05).Several specific homologues were identified to make a dominant contribution within each class of these organic chemicals,such as perfluorooctanoic acid(36.54%)and perfluorononanoic acid(32.09%),which were the most risky PFAS compounds.These findings provide a critical insight into the etiology of GDM and may inform strategies to protect against pregnancy complications.展开更多
Polycyclic aromatic hydrocarbons(PAHs)are widespread pollutants from incomplete combustion of organic materials,linked to various health issues and pregnancy complications.This study explored the relationship between ...Polycyclic aromatic hydrocarbons(PAHs)are widespread pollutants from incomplete combustion of organic materials,linked to various health issues and pregnancy complications.This study explored the relationship between PAH metabolites and gestational hypertension.Urine samples from 118 normal pregnant women and 40 with gestational hypertension were analyzed.In vitro experiments using human trophoblast cells(HTR-8/SVneo)exposed to these metabolites assessed their effects on cellular metabolism.Comprehensive metabolomics analysis was performed using Tidymass and DRomics to integrate global and dose-response metabolomics data.Results showed higher levels of 1-hydroxypyrene(1-OHPYR)and 9-Hydroxyphenanthrene(9-OHPHE)linked to gestational hypertension,inhibiting trophoblast cell invasion and migration.Identified markers include Isobutyryl-L-carnitine,methyl-3-hydroxybutyric acid,threonine,and glutamic acid for 1-OHPYR,and phosphocreatine for 9-OHPHE.This study highlights the connection between PAH metabolites and gestational hypertension,suggesting potential biomarkers and mechanisms.Future research should confirm these findings and explore prevention and treatment strategies.展开更多
In China,gestational diabetes mellitus(GDM)is typically diagnosed using the International Association of Diabetes and Pregnancy Study Groups(IADPSG)criteria.This study retrospectively analyzed 19152 pregnant women who...In China,gestational diabetes mellitus(GDM)is typically diagnosed using the International Association of Diabetes and Pregnancy Study Groups(IADPSG)criteria.This study retrospectively analyzed 19152 pregnant women who underwent an oral glucose tolerance test between 2015 and 2021,comparing the IADPSG and the National Institute for Health and Care Excellence(NICE)criteria.GDM prevalence was 20.39%(IADPSG)and23.67%(NICE,P<0.01),with a moderate diagnostic agreement(κ=0.59;P<0.01).Compared with women having normal glucose tolerance(NGT group),women diagnosed with GDM by either the IADPSG(GDM-I)or NICE(GDM-N)criteria had significantly higher risks of adverse outcomes(including gestational hypertension,preeclampsia,preterm delivery,macrosomia,low birth weight,and neonatal jaundice).However,those diagnosed by NICE but not by IADPSG(GDM-NI)showed no significant increase in adverse maternal or neonatal outcomes except for neonatal jaundice.Furthermore,the GDM-NI group had significantly lower rates of several adverse outcomes compared with the GDM-I group.These findings suggest that,under current clinical management where women diagnosed by IADPSG received treatment while those diagnosed only by NICE did not,the IADPSG criteria classified fewer women as having GDM but identified a group with a higher observed risk of several adverse pregnancy outcomes than did the NICE criteria.展开更多
Gestational diabetes mellitus(GDM)is defined as any degree of hyperglycaemia that is recognized for the first time during pregnancy.This definition includes cases of undiagnosed type 2 diabetes mellitus(T2 DM)identifi...Gestational diabetes mellitus(GDM)is defined as any degree of hyperglycaemia that is recognized for the first time during pregnancy.This definition includes cases of undiagnosed type 2 diabetes mellitus(T2 DM)identified early in pregnancy and true GDM which develops later.GDM constitutes a greater impact on diabetes epidemic as it carries a major risk of developing T2 DM to the mother and foetus later in life.In addition,GDM has also been linked with cardiometabolic risk factors such as lipid abnormalities,hypertensive disorders and hyperinsulinemia.These might result in later development of cardiovascular disease and metabolic syndrome.The understanding of the different risk factors,the pathophysiological mechanisms and the genetic factors of GDM,will help us to identify the women at risk,to develop effective preventive measures and to provide adequate management of the disease.Clinical trials have shown that T2 DM can be prevented in women with prior GDM,by intensive lifestyle modification and by using pioglitazone and metformin.However,a matter of controversy surrounding both screening and management of GDM continues to emerge,despite several recent welldesigned clinical trials tackling these issues.The aim of this manuscript is to critically review GDM in a detailed and comprehensive manner,in order to provide a scientific analysis and updated write-up of different related aspects.展开更多
Objectives This study aimed to evaluate the effectiveness of a Health Belief Model(HBM)-based electronic education program combined with individualized supervised exercise in improving exercise adherence and pregnancy...Objectives This study aimed to evaluate the effectiveness of a Health Belief Model(HBM)-based electronic education program combined with individualized supervised exercise in improving exercise adherence and pregnancy outcomes among women with gestational hypertension.Methods A randomized controlled trial was conducted from June 2024 to February 2025 at a tertiary hospital in Shenzhen,China.A total of 142 pregnant women diagnosed with gestational hypertension were randomly assigned to either an experimental group or a control group.The experimental group received routine antenatal care plus a 6-week HBM-based e-education intervention delivered via a mobile application and short messaging service(SMS)reminders,complemented by individualized in-person exercise guidance.The control group received routine antenatal care only.After the 6-week intervention,outcomes were assessed using the 6-min walk test,a disease knowledge and attitudes questionnaire,and the Pregnancy Exercise Self-Efficacy Scale.Primary outcomes included exercise adherence,blood pressure control,incidence of preeclampsia,and other pregnancy-related outcomes.Results A total of 129 participants completed the study(the intervention group[n=65],the control group[n=64]).At 6 weeks post-intervention,the experimental group demonstrated significantly greater improvements than the control group in exercise adherence,blood pressure control,preeclampsia incidence,disease-related knowledge and attitudes,and exercise self-efficacy(all P0.05).Conclusion By embedding video-based education,real-time monitoring,and personalized support into routine prenatal care,this intervention facilitated positive behavioral changes in physical activity among pregnant women.The approach offers a scalable model for clinical nurses to delivering tailored remote exercise support for women with other pregnancy-related complications.展开更多
BACKGROUND Gestational diabetes mellitus(GDM)is characterized by glucose intolerance first identified during pregnancy.Adipokines are adipose-derived hormones regulating insulin sensitivity,while body composition desc...BACKGROUND Gestational diabetes mellitus(GDM)is characterized by glucose intolerance first identified during pregnancy.Adipokines are adipose-derived hormones regulating insulin sensitivity,while body composition describes the body’s fat and non-fat components,which change dynamically in gestation.AIM To explore the associations between body composition,adipokines,and GDM risk,identifying early predictive markers to enhance prenatal risk assessment.METHODS A retrospective analysis included 1656 singleton pregnant women(276 with GDM,1380 with normal glucose tolerance)from 2020-2024.Early pregnancy(6-16 weeks)body composition was assessed via bioelectrical impedance analysis.Adipokines(leptin,adiponectin,fatty acid-binding protein 4)and metabolic indices were measured during 24-28 weeks oral glucose tolerance test.Group comparisons,logistic regression,correlation analysis,and receiver operating characteristic curves were used to evaluate relationships and diagnostic performance.RESULTS GDM women had higher pre-pregnancy body mass index(BMI),glucose/insulin,homeostasis model assessment of insulin resistance,lower insulin sensitivity index(all P<0.05).GDM showed higher fat mass percentage(FMP)(36.23%±7.54%vs 33.12%±9.87%),fat mass index(FMI)(9.87±3.32 kg/m2vs 8.34±4.11 kg/m2),extracellular-to-intracellular water ratio(ECW/ICW)(0.63±0.03 vs 0.61±0.02),lower lean mass indices(all P<0.001 except ECW/ICW P=0.012).GDM had higher leptin(P=0.014),lower adiponectin(P=0.021).FMP elevation was independent risk factor(odds ratio=1.412,P=0.030).Pre-pregnancy BMI(area under the curve=0.662),FMP(0.651),FMI(0.650)had better diagnostic value than ECW/ICW(0.606).CONCLUSION Body composition parameters(FMP,FMI)and adipokines(leptin,adiponectin)are closely linked to GDM risk.Integrating these assessments into prenatal care facilitates early risk identification and targeted interventions to improve maternal-fetal outcomes.展开更多
Children born with fetal growth restriction(FGR)or small for gestational age(SGA)face an increased risk of motor and cognitive impairments,although prevalence and severity vary across studies due to differences in def...Children born with fetal growth restriction(FGR)or small for gestational age(SGA)face an increased risk of motor and cognitive impairments,although prevalence and severity vary across studies due to differences in definitions,assessment methods,and population characteristics.In recent years,advances in technology and clinical awareness have led to a growing body of research on the relationship between fetal growth and neurodevelopmental outcomes.This mini-review synthesises recent findings on the impact of SGA and FGR on neurodevelopment in preterm and term infants across the lifespan.Three databases were screened to identify original studies published between 2020 and 2025 with 40 studies meeting the selection criteria.Evidence suggests that children born SGA or with FGR are at higher risk of cognitive impairments,which may persist into later life;however,results from some preterm cohorts do not show significant associations.Findings on sensory and behavioural outcomes are limited and heterogeneous,reflecting the fewer studies that have addressed these domains.Regarding motor outcomes,reports on cerebral palsy remain inconsistent,with some studies suggesting no increased risk.In contrast,broader evaluations of motor function consistently indicate a higher prevalence,particularly among term-born cohorts.Together,these findings highlight the need for refined definitions,standardised assessment tools,and longitudinal studies to clarify the developmental trajectories of children born with growth complications and to guide early interventions.展开更多
BACKGROUND Gestational diabetes mellitus(GDM),characterized by glucose intolerance,is an increasingly prevalent public health issue linked to both maternal and neonatal complications.Dyslipidemia,a cardiovascular risk...BACKGROUND Gestational diabetes mellitus(GDM),characterized by glucose intolerance,is an increasingly prevalent public health issue linked to both maternal and neonatal complications.Dyslipidemia,a cardiovascular risk factor associated with insulin resistance,can exacerbate GDM and lead to more severe maternal and fetal outcomes.While lipid changes are normal in pregnancy,excessive dysregulation may cause endothelial dysfunction,inflammation,and complications such as preeclampsia,macrosomia,and cesarean delivery.Understanding the burden of these conditions in local settings is crucial for early risk identification,targeted prevention,and improved maternal-fetal health.AIM To determine the prevalence and identify factors associated with GDM and its association with dyslipidemia among pregnant women attending health facilities in the Buea Health District(BHD),Cameroon.METHODS A cross-sectional hospital-based study was conducted from January 2024 to July 2024 in the BHD.A total of 113 pregnant women were selected by convenience.Sociodemographic,obstetric,and lifestyle data were collected using a structured and pretested questionnaire.Lipid profile was evaluated by enzymatic colorimetric methods.GDM was diagnosed by the oral glucose tolerance test using the National Institute for Health and Care Excellence 2015 criteria.Data were analyzed using the Statistical Package for Social Sciences version 26.The Student’s t-test was used to compare mean biochemical parameters between groups.Multivariate logistic regression analysis was conducted to assess the association between GDM and dyslipidemia.P<0.05 was considered statistically significant.RESULTS The age of participants was 28.70±5.19 years.The prevalence of GDM in the BHD was 10.6%.Pregnant women aged≥34 years had an 11.47-fold higher risk of developing GD than their counterparts aged 20-26 years[adjusted odds ratio(aOR)=11.47,95%confidence interval(95%CI):1.19-3.15;P=0.03].Also,unemployed women had an 8.80-fold higher risk of developing GDM compared to those who were employed(aOR=8.80,95%CI:1.01-2.06;P=0.04).Furthermore,women who exercised infrequently had a 10.31-fold higher risk of developing GDM than their counterparts who exercised daily(aOR=10.31,95%CI:1.69-3.06;P=0.02).Also,women who had a family history of diabetes were 4.35 times more at risk of developing GDM than their counterparts who had no family history(aOR=4.35,95%CI:0.91-2.10;P=0.04).The prevalence of dyslipidemia was 31.90%,and it was associated with the trimester of pregnancy(P=0.003).Pregnant women in their third trimester of pregnancy had a 2.86-fold higher risk of developing dyslipidemia compared to those in their second trimester(aOR=2.86,95%CI:1.06-7.70;P=0.004).Also,GDM was associated with dyslipidemia(P=0.037).CONCLUSION The prevalence of GDM and dyslipidemia among pregnant women in the BHD was 10.6%and 31.90%,respectively.Dyslipidemia was associated with GDM.Advanced maternal age,unemployment,less frequent exercise,and family history of diabetes mellitus were associated with GDM in the BHD.展开更多
Gestational diabetes mellitus(GDM)affects up to 14%of pregnancies globally and remains a major threat to maternal and fetal health,contributing to complications such as preeclampsia,macrosomia,and long-term metabolic ...Gestational diabetes mellitus(GDM)affects up to 14%of pregnancies globally and remains a major threat to maternal and fetal health,contributing to complications such as preeclampsia,macrosomia,and long-term metabolic disorders.As GDM involves dynamic immune-metabolic changes at the maternal-fetal interface,characterizing its gene expression landscape across relevant tissues is essential to identify biomarkers,therapeutic targets,and disease mechanisms.Over the past several years,numerous transcriptomic studies and publicly available datasets have been generated to uncover molecular mechanisms of GDM across diverse tissues and experimental models.Despite their potential,these resources remain underutilized,with many datasets yet to be fully mined for their biological and clinical insights.This review provides an overview of methodological advances in gene expression profiling relevant to GDM and highlights key tissues and models used.We discuss limitations of current datasets such as the scarcity of single-cell data and metadata inconsistencies and propose future directions,including integrative and cell-type-resolved transcriptomic studies.By consolidating and contextualizing current resources,this article underscores the importance of deeper data reuse and provides a concise roadmap for future research on the pathogenesis of GDM.展开更多
Diabetes mellitus is a leading metabolic and non-communicable disease,affecting nearly 537 million adults worldwide.Recent research highlights the gut microbiota as a crucial factor in the onset and progression of dia...Diabetes mellitus is a leading metabolic and non-communicable disease,affecting nearly 537 million adults worldwide.Recent research highlights the gut microbiota as a crucial factor in the onset and progression of diabetes.Gut microbial dysbiosis,an imbalance in microbial composition,has been increasingly recognized as a contributor to diabetes pathogenesis during pregnancy.The gut microbiome is influenced by multiple internal and external factors,which can worsen diabetes-related complications.A higher abundance of pathogenic microbes may lead to the release of microbial metabolites or DNA into circulation,contributing to metabolic disorders such as obesity,cardiovascular disease,and liver dysfunction.Microbial nucleic acids have been identified in the bloodstream of individuals with diabetes and in pregnant women,suggesting the existence of a circulating or blood microbiome.Various physiological and pathological conditions may permit gut microbes or their components to enter the bloodstream.This review introduces the concept that the blood microbiome may play a critical role during pregnancy,potentially increasing susceptibility to diabetes.It emphasizes the mechanistic link between gut dysbiosis,microbial translocation,and pregnancy-associated metabolic disturbances.Exploring gut and blood microbiome interactions in pregnancy could reveal early biomarkers and therapeutic targets for gestational diabetes mellitus.Future studies should focus on longitudinal microbiome analyses and interventions to restore microbial balance,offering new preventive strategies against diabetes during pregnancy.展开更多
BACKGROUND Gestational diabetes mellitus(GDM)requires strict dietary management and blood glucose monitoring,which may impose long-term psychological stress during pregnancy and increase the risk of postpartum depress...BACKGROUND Gestational diabetes mellitus(GDM)requires strict dietary management and blood glucose monitoring,which may impose long-term psychological stress during pregnancy and increase the risk of postpartum depression(PPD).However,the psychological impact of gestational glucose indicators and blood glucose control,as well as their predictive value for PPD in patients with GDM,remains insufficiently explored.AIM To identify factors associated with PPD in patients with GDM and to construct a prediction model for PPD risk.METHODS A cross-sectional survey was conducted among 204 patients with GDM who underwent prenatal checkups and delivered at Suzhou Ninth People’s Hospital between February 2024 and June 2025.At 6 weeks postpartum,PPD symptoms were measured using the Edinburgh PPD Scale,and participants were divided into PPD(52 cases)and non-PPD(152 cases)groups.Group differences were analyzed,and multivariate logistic regression was used to identify factors associated with PPD in patients with GDM.A predictive model was constructed based on various influencing factors and evaluated using goodness-of-fit testing and the area under the receiver operating characteristic curve.Model performance was further validated using K-fold fold cross-validation.RESULTS Significant differences between the PPD and non-PPD groups were observed for 2-hour postprandial blood glucose(2hPG)at GDM diagnosis(P=0.018),blood glucose control during pregnancy(P=0.012),postpartum maternalinfant separation(P=0.001),family care(P=0.001),and social support(P=0.007).Multivariate analysis identified high 2hPG,poor gestational blood glucose control,postpartum mother-infant separation,low family care,and low social support as independent risk factors for PPD in patients with GDM(all P<0.05).The predictive model was defined as Logit(P)=0.508×2hPG+0.687×gestational blood glucose control+1.092×postpartum mother-infant separation+0.745×low family care+0.289×low social support-4.766.The goodness-of-fit test showed no evidence of overfitting(χ2=1.754,P=0.514).The model’s area under the receiver operating characteristic curve value was 0.840(95%confidence interval:0.757-0.912),with a sensitivity of 0.839 and a specificity of 0.825.After 100 rounds of 10-fold cross-validation,the model demonstrated good generalization performance.CONCLUSION PPD incidence is high in patients with GDM and is associated with high 2hPG at diagnosis,poor blood glucose control during pregnancy,postpartum mother-infant separation,low family care,and low social support.A predictive model integrating these factors can effectively evaluate PPD risk in patients with GDM.展开更多
BACKGROUND Gestational hypertensive disorders(GHDs)are common pregnancy complications associated with severe maternal morbidity.Although their physical after-effects have been extensively reported,their effects on pos...BACKGROUND Gestational hypertensive disorders(GHDs)are common pregnancy complications associated with severe maternal morbidity.Although their physical after-effects have been extensively reported,their effects on postpartum mental well-being,especially anxiety and depression,remain under-researched.AIM To evaluate the risk of postpartum anxiety and depression among women with GHD and assessed the protective role of a designed supportive care model.METHODS The participants were 220 women(110 with GHD;110 normotensive controls)who were matched for key obstetric variables.Participants’clinical and postnatal follow-up data were collected between June 2022 and May 2025.Standardized screening instruments were used to measure postpartum anxiety and depression between 6 and 12 weeks after delivery.Multivariable logistic regression was used to estimate adjusted odds ratios for postpartum mental health outcomes,accounting for relevant sociodemographic and obstetric confounders.Analyses in the hypertensive cohort examined the effect of structured supportive care models.RESULTS Women with GHD showed higher levels of postpartum anxiety and depression than normotensive controls.GHD was independently linked with higher odds of postpartum anxiety and depression after adjustment.Structured supportive care in the hypertensive cohort showed significantly lower prevalence and adjusted odds of postpartum anxiety and depression than in those who received standard postnatal care.CONCLUSION GHDs were associated with significantly elevated probabilities of postpartum anxiety and depression.Supportive care was associated with a significant reduction in this risk.Therefore,the introduction of specific psychosocial support into routine postpartum care for women with GHD should be considered.展开更多
This letter discusses a recent study by Wu JX and Wu FF which published in World Journal of Psychiatry that examined factors influencing postpartum depression(PPD)in patients with gestational diabetes mellitus(GDM),an...This letter discusses a recent study by Wu JX and Wu FF which published in World Journal of Psychiatry that examined factors influencing postpartum depression(PPD)in patients with gestational diabetes mellitus(GDM),and constructed a risk prediction model.The study enrolled 204 GDM patients,dividing them into PPD(n=52)and non-PPD(n=152)groups based on Edinburgh Postnatal Depression Scale scores at 6 weeks postpartum.Multivariate logistic regression analysis revealed that elevated 2-hour postprandial glucose at diagnosis,poor glycemic control during pregnancy,postpartum mother-infant separation,low family care,and low social support were independent risk factors for PPD.The prediction model,defined as Logit(P)=0.508×2-hour postprandial blood glucose+0.687×gestational blood glucose control+1.092×postpartum mother-infant separation+0.745×low family care+0.289×low social support-4.766,demonstrated robust performance with an area under the curve of 0.840,sensitivity of 0.839,and specificity of 0.825.The significance of the study lies in identifying GDM-specific PPD risk factors and constructing a practical predictive tool for clinical use.It establishes a critical link between glycemic indicators and postpartum mental health,expanding our understanding of psychological issues in GDM patients.This model enables early identification of high-risk individuals,facilitating targeted interventions such as enhanced glycemic management,promotion of mother-infant contact,and mobilization of family and social support resources.By shifting from passive treatment to active prevention,this approach has important implications for improving maternal mental health outcomes,promoting mother-infant wellbeing,and reducing family and societal burden.Although this was a single-center study with a small sample,these findings provide a foundation for future multicenter research and the development of digital risk assessment tools and personalized intervention strategies.展开更多
BACKGROUND Gestational diabetes mellitus(GDM)is a metabolic disorder occurring during pregnancy that poses substantial risks to both mothers and offspring.General control nonderepressible 2(GCN2)is a key sensor of cel...BACKGROUND Gestational diabetes mellitus(GDM)is a metabolic disorder occurring during pregnancy that poses substantial risks to both mothers and offspring.General control nonderepressible 2(GCN2)is a key sensor of cellular stress and a central mediator of the integrated stress response;however,its role in GDM remains unclear.AIM To investigate the role of GCN2 in GDM progression and its underlying mechanisms.METHODS A GDM mouse model(n=6/group)was established using a high-fat/high-sugar diet with GCN2 knockdown via shRNA.High glucose(HG)-treated HTR-8/SVneo cells were used as an in vitro model.Gene expression,metabolic parameters,histological changes,oxidative stress,endoplasmic reticulum stress(ERS),and mitochondrial function were assessed using molecular and biochemical methods.RESULTS GCN2 expression was increased in placental tissues of GDM mice and in HGtreated trophoblasts.GCN2 silencing significantly improved glucose-lipid metabolic abnormalities,reduced hepatic lipid accumulation,restored hepatic glycogen content,and alleviated placental apoptosis,oxidative stress,ERS activation,and mitochondrial dysfunction(P<0.05).In HG-exposed trophoblasts,GCN2 knockdown similarly attenuated ERS-mediated mitochondrial impairment,oxidative damage,and apoptosis(P<0.05),whereas these protective effects were CONCLUSION GCN2 is involved in GDM progression and may regulate placental injury through ERS-associated mitochondrial dysfunction,suggesting a potential therapeutic target.展开更多
Objective:To explore the clinical effect of personalized nutritional support in elderly women with gestational diabetes(GDM),and explore its impact on the incidence of maternal complications and pregnancy outcomes.Met...Objective:To explore the clinical effect of personalized nutritional support in elderly women with gestational diabetes(GDM),and explore its impact on the incidence of maternal complications and pregnancy outcomes.Methods:A total of 90 elderly pregnant women with gestational diabetes who were delivered in our hospital from January 2023 to January 2024 were selected as the research objects.They were randomly divided into an observation group and a control group,with 45 cases in each group.The control group only received routine pregnancy care and basic nutrition guidance,while the observation group received personalized nutrition support on this basis.Compare the blood glucose control,incidence of pregnancy complications,pregnancy outcomes,and neonatal outcomes between two groups of parturient.Result:After intervention,the fasting blood glucose(FPG),2-hour postprandial blood glucose(2hPG),and glycated hemoglobin(HbA1c)of the observation group were significantly lower than those of the control group,and the differences were statistically significant(p<0.05);The incidence of complications such as gestational hypertension syndrome,polyhydramnios,premature rupture of membranes,and postpartum hemorrhage in the observation group was significantly lower than that in the control group,and the difference was statistically significant(p<0.05);The cesarean section rate in the observation group was significantly lower than that in the control group,and the incidence of adverse neonatal outcomes such as fetal distress,macrosomia,neonatal asphyxia,and neonatal hypoglycemia in the observation group was significantly lower than that in the control group,with statistical significance(p<0.05).Conclusion:Individualized nutritional support for elderly women with gestational diabetes can effectively improve the level of maternal blood sugar control,reduce the incidence of complications during pregnancy,and improve the outcome of pregnancy and neonatal outcomes,which is of high clinical value.展开更多
BACKGROUND The primary complication associated with gestational diabetes mellitus(GDM)is delivery of an infant that is large for gestational age(LGA).Epidemiological findings have demonstrated that irregular lipid met...BACKGROUND The primary complication associated with gestational diabetes mellitus(GDM)is delivery of an infant that is large for gestational age(LGA).Epidemiological findings have demonstrated that irregular lipid metabolism significantly con-tributes to insulin resistance,a key pathophysiological mechanism in GDM.However,the correlation between various lipid indices and the probability of delivering LGA infants remains inconsistent.AIM To explore the relationships between lipid indices and the possibility of having LGA infants among GDM-affected pregnant females.METHODS Binary logistic regression methods were employed to evaluate the odds ratios and corresponding 95%confidence intervals for LGA according to five lipid indices.Restricted cubic spline models were applied to investigate dose-response relationships.The association between lipid indices and the risk of delivering LGA infants was further investigated among different subgroups.Receiver operating characteristic curves were utilized to assess the diagnostic performance of lipid indices.RESULTS Across crude and adjusted models,females with lipid indices in the upper two tertiles presented a markedly elevated risk of delivering LGA infants compared with the lowest tertile category.Conversely,high-density lipoprotein cholesterol levels demonstrated the contrary trend.Restricted cubic spline analyses revealed linear associations between the five lipid indices,except triglyceride levels,and the prevalence of LGA.The subgroup analysis highlighted that the correlation between lipid indices and the probability of LGA was inconsistent.The five lipid indices presented significant diagnostic efficacy,as indicated by receiver operating characteristic curve areas.CONCLUSION Our research demonstrated that lipid indices were effective predictors of the incidence of LGA infants in GDM-affected pregnancies irrespective of potential confounding factors.展开更多
BACKGROUND Food insecurity(FI)during pregnancy negatively impacts maternal health and raises the risk of gestational diabetes mellitus(GDM)and pregnancy-induced hypertension(PIH),resulting in adverse outcomes for both...BACKGROUND Food insecurity(FI)during pregnancy negatively impacts maternal health and raises the risk of gestational diabetes mellitus(GDM)and pregnancy-induced hypertension(PIH),resulting in adverse outcomes for both mother and baby.AIM To investigate the relationships between FI and pregnancy outcomes,particularly GDM and PIH,while also examining the mediating role of the dietary diversity score(DDS).METHODS A cross-sectional study was undertaken to examine this relationship,involving 600 pregnant women.Participants were women aged 18 years or older who provided complete data on FI and pregnancy outcomes.The FI was measured via the Household Food Security Survey Module,with GDM defined as fasting plasma glucose levels of≥5.1 mmol/L or a 2-hour oral glucose tolerance test value of≥8.5 mmol/L.The DDS is determined by evaluating one's food consumption based on nine distinct food groups.A logistic regression model was used to explore the relationship between FI and PIH,and GDM.RESULTS Seventeen percent of participants reported experiencing FI during pregnancy.The study found a significant association between FI and an elevated risk of GDM[odds ratio(OR)=3.32,95%CI:1.2-5.4].Once more,food-insecure pregnant women had higher rates of PIH(OR=0.10,95%CI:0.02-0.45)and they also faced a higher likelihood of neonatal complications,such as neonatal intensive care unit’s admissions and the birth of infants with extremely low birth weight.The FI wasfurther linked to metabolic disruptions,such as elevated fasting blood sugar(FBS),low-density lipoprotein cholesterol,and triglyceride levels.Our results indicate that the DDS acts as a significant mediator in the relationship between FI and the incidence of GDM.In particular,the mediation analysis showed that approximately 65%of the effect was mediated through DDS(P=0.002).CONCLUSION These findings underscore the serious challenges that FI presents during pregnancy and its effects on maternal and infant health.Additionally,the study explored how DDS mediates the relationship between FI and the incidence of GDM.展开更多
Objective To investigate the association between ABO blood types and gestational diabetes mellitus(GDM)risk.Methods A prospective birth cohort study was conducted.ABO blood types were determined using the slide method...Objective To investigate the association between ABO blood types and gestational diabetes mellitus(GDM)risk.Methods A prospective birth cohort study was conducted.ABO blood types were determined using the slide method.GDM diagnosis was based on a 75-g,2-h oral glucose tolerance test(OGTT)according to the criteria of the International Association of Diabetes and Pregnancy Study Groups.Logistic regression was applied to calculate the odds ratios(ORs)and 95%confidence intervals(CIs)between ABO blood types and GDM risk.Results A total of 30,740 pregnant women with a mean age of 31.81 years were enrolled in this study.The ABO blood types distribution was:type O(30.99%),type A(26.58%),type B(32.20%),and type AB(10.23%).GDM was identified in 14.44%of participants.Using blood type O as a reference,GDM risk was not significantly higher for types A(OR=1.05)or B(OR=1.04).However,women with type AB had a 19%increased risk of GDM(OR=1.19,95%CI=1.05–1.34;P<0.05),even after adjusting for various factors.This increased risk for type AB was consistent across subgroup and sensitivity analyses.Conclusion The ABO blood types may influence GDM risk,with type AB associated with a higher risk.Incorporating it—either as a single risk factor or in combination with other known factors—could help identify individuals at risk for GDM before or during early pregnancy.展开更多
基金supported by the National Program of the Basic Research Project of China(grant numbers 2019FY101003 and 2013FY114200).
摘要Objective The study aims to prospectively examine the association between the minimum dietary diversity for women(MDD-W)score and risk of gestational diabetes mellitus(GDM).Methods All participants were pregnant women enrolled in the Tongji Maternal and Child Health Cohort.Dietary intake was assessed using a food frequency questionnaire(FFQ)or 24-h dietary recall.The MDD-W score was constructed by categorizing all food items into 10 food groups,following the Food and Agriculture Organization guidelines.Oral glucose tolerance tests(OGTT)were conducted during 24−28 weeks of gestation to screen for GDM.Poisson regression models were used to assess the association between MDD-W scores and GDM risk.Results In total,357(11.8%)of the 3,026 women were diagnosed with GDM.Compared with participants whose MDD-W score was≥8,those with a score of 5−7 had an increased risk of GDM(relative risk(RR):1.32;95%confidence interval(CI):1.03,1.69),and those with a score≤4 had a significantly higher GDM risk(RR:1.58;95%CI:1.12,2.26).Furthermore,these findings indicate that pregnant women with MDD-W scores<8,in conjunction with being overweight or obese before pregnancy and excessive gestational weight gain,have the highest risk of developing GDM.Conclusions These data suggest that a higher MDD-W score during pregnancy is independently associated with a lower GDM risk.Therefore,promoting dietary diversity and weight management is recommended to protect pregnant women from developing gestational diabetes.
基金Supported by the Fundación Sociedad Española de Diabetesthe Instituto de Salud Carlos III(ISCIII)and co-funded by the European Union,No.PI18/01175 and No.PI21/01864+1 种基金the Juan Rodés Program from Instituto de Salud Carlos III,No.JR20-00040the Nicolas Monardes Program from“Servicio Andaluz de Salud,Junta de Andalucía”,No.RC-0008-2021.
摘要BACKGROUND Fasting glucose and glycated hemoglobin(HbA1c)were used to diagnose gestational diabetes during the coronavirus disease 2019(COVID-19)pandemic.AIM To determine whether the diagnostic criteria used during the COVID-19 pandemic may play a role outside the pandemic.METHODS From May 2022 to July 2024,354 females with an altered 50-g oral glucose tolerance test(OGTT),the usual diagnostic test(100-g OGTT),and the alternative diagnostic(A)criteria(fasting glucose≥95 mg/dL and/or HbA1c≥5.7%)were tested simultaneously,resulting in four different groups:OGTT+/A+(n=20);OGTT+/A-(n=60);OGTT-/A+(n=24);and OGTT-/A-(n=250).Groups were compared for clinical characteristics and obstetric and perinatal outcomes.RESULTS Sensitivity of the alternative criteria was 25%and specificity was 91.2%.Body mass index(BMI)was similar from the OGTT-/A+and OGTT+/A+groups(30.1±6.3 kg/m2and 32.7±5.3 kg/m2,respectively)and significantly higher from the OGTT+/A-and OGTT-/A-groups(26.8±5.1 kg/m2and 25.6±5.0 kg/m2,respectively).The between-group differences were similar for the respective rates of large for gestational age(LGA)infants(OGTT+/A+:38.9%,OGTT+/A-:11.8%,OGTT-/A+:29.4%,OGTT-/A-:12.4%;P=0.028).In the regression analysis a history of macrosomia[odds ratio(OR)=7.948,95%confidence interval(95%CI):2.269-27.842;P=0.001]and higher pregestational BMI(OR=1.069,95%CI:1.002-1.140;P=0.042)independently increased the risk of LGA.CONCLUSION Despite insufficient validity to replace the OGTT,alternative criteria identify a group of patients with a higher risk profile and adverse perinatal outcomes who could benefit for health interventions.
基金supported by the National Natural Science Foundation of China(Nos.U23A2057 and 22476100)the Ministry of Science and Technology(No.2022YFC3703200)+2 种基金the Fundamental Research Funds for the Central Universities,Nankai University(No.2452021103)the 111 program of Ministry of Education,China(No.B17025)Open Fund of Nankai University Eye Institute(No.NKYKD202303).
摘要Exposure to environmental pollutants intricately contributes to the incidence of gestational diabetes mellitus(GDM),thus it is imperative to identify the key contaminants which may induce GDM risk in humans.Herein,we conducted a systematic review and meta-analysis on a total of 112 epidemiological studies to clarify the environmental risk factors for GDM occurrence.A total of 10 air pollutants,26 metal elements,and 8 categories of organic compounds were examined.Fixed-and random-effect models were used to calculate the pooled odds ratio and 95%confidence interval for evaluating the effects of contaminants.The results showed that exposure to air pollutants significantly increased GDM risk,with black carbon,PM2.5,PM10,carbon monoxide,nitric oxide,nitrogen oxides,and sulfur dioxide identified as potential risk factors(p<0.05).There was a markedly positive relationship between metal exposure and GDM risk,with aluminum,antimony,mercury,and rubidium contributing significantly to GDM incidence(p<0.05).Higher exposure to organic compounds was also associated with a greater risk of GDM,with polybrominated diphenyl ethers,per-and poly-fluoroalkyl substances(PFAS),phthalates,polychlorinated biphenyls,and organophosphate esters making significant contributions(p<0.05).Several specific homologues were identified to make a dominant contribution within each class of these organic chemicals,such as perfluorooctanoic acid(36.54%)and perfluorononanoic acid(32.09%),which were the most risky PFAS compounds.These findings provide a critical insight into the etiology of GDM and may inform strategies to protect against pregnancy complications.
基金supported by the National Key R&D Program of China(No.2018YFC1004304)Guangxi Natural Science Foundation General Project(No.2021GXNSFAA075027)the Open Research Fund of the National Health Commission Key Laboratory of Birth Defects Prevention&Henan Key Laboratory of Population Defects Prevention(No.ZD202201)。
摘要Polycyclic aromatic hydrocarbons(PAHs)are widespread pollutants from incomplete combustion of organic materials,linked to various health issues and pregnancy complications.This study explored the relationship between PAH metabolites and gestational hypertension.Urine samples from 118 normal pregnant women and 40 with gestational hypertension were analyzed.In vitro experiments using human trophoblast cells(HTR-8/SVneo)exposed to these metabolites assessed their effects on cellular metabolism.Comprehensive metabolomics analysis was performed using Tidymass and DRomics to integrate global and dose-response metabolomics data.Results showed higher levels of 1-hydroxypyrene(1-OHPYR)and 9-Hydroxyphenanthrene(9-OHPHE)linked to gestational hypertension,inhibiting trophoblast cell invasion and migration.Identified markers include Isobutyryl-L-carnitine,methyl-3-hydroxybutyric acid,threonine,and glutamic acid for 1-OHPYR,and phosphocreatine for 9-OHPHE.This study highlights the connection between PAH metabolites and gestational hypertension,suggesting potential biomarkers and mechanisms.Future research should confirm these findings and explore prevention and treatment strategies.
基金supported by grants from the Medical Research Projects of Jiangsu Commission of Health(Grant No.H2023128 to H.Y.)。
摘要In China,gestational diabetes mellitus(GDM)is typically diagnosed using the International Association of Diabetes and Pregnancy Study Groups(IADPSG)criteria.This study retrospectively analyzed 19152 pregnant women who underwent an oral glucose tolerance test between 2015 and 2021,comparing the IADPSG and the National Institute for Health and Care Excellence(NICE)criteria.GDM prevalence was 20.39%(IADPSG)and23.67%(NICE,P<0.01),with a moderate diagnostic agreement(κ=0.59;P<0.01).Compared with women having normal glucose tolerance(NGT group),women diagnosed with GDM by either the IADPSG(GDM-I)or NICE(GDM-N)criteria had significantly higher risks of adverse outcomes(including gestational hypertension,preeclampsia,preterm delivery,macrosomia,low birth weight,and neonatal jaundice).However,those diagnosed by NICE but not by IADPSG(GDM-NI)showed no significant increase in adverse maternal or neonatal outcomes except for neonatal jaundice.Furthermore,the GDM-NI group had significantly lower rates of several adverse outcomes compared with the GDM-I group.These findings suggest that,under current clinical management where women diagnosed by IADPSG received treatment while those diagnosed only by NICE did not,the IADPSG criteria classified fewer women as having GDM but identified a group with a higher observed risk of several adverse pregnancy outcomes than did the NICE criteria.
摘要Gestational diabetes mellitus(GDM)is defined as any degree of hyperglycaemia that is recognized for the first time during pregnancy.This definition includes cases of undiagnosed type 2 diabetes mellitus(T2 DM)identified early in pregnancy and true GDM which develops later.GDM constitutes a greater impact on diabetes epidemic as it carries a major risk of developing T2 DM to the mother and foetus later in life.In addition,GDM has also been linked with cardiometabolic risk factors such as lipid abnormalities,hypertensive disorders and hyperinsulinemia.These might result in later development of cardiovascular disease and metabolic syndrome.The understanding of the different risk factors,the pathophysiological mechanisms and the genetic factors of GDM,will help us to identify the women at risk,to develop effective preventive measures and to provide adequate management of the disease.Clinical trials have shown that T2 DM can be prevented in women with prior GDM,by intensive lifestyle modification and by using pioglitazone and metformin.However,a matter of controversy surrounding both screening and management of GDM continues to emerge,despite several recent welldesigned clinical trials tackling these issues.The aim of this manuscript is to critically review GDM in a detailed and comprehensive manner,in order to provide a scientific analysis and updated write-up of different related aspects.
基金supported by the Guangdong Basic and Applied Basic Research Foundation(2025A1515011703).
摘要Objectives This study aimed to evaluate the effectiveness of a Health Belief Model(HBM)-based electronic education program combined with individualized supervised exercise in improving exercise adherence and pregnancy outcomes among women with gestational hypertension.Methods A randomized controlled trial was conducted from June 2024 to February 2025 at a tertiary hospital in Shenzhen,China.A total of 142 pregnant women diagnosed with gestational hypertension were randomly assigned to either an experimental group or a control group.The experimental group received routine antenatal care plus a 6-week HBM-based e-education intervention delivered via a mobile application and short messaging service(SMS)reminders,complemented by individualized in-person exercise guidance.The control group received routine antenatal care only.After the 6-week intervention,outcomes were assessed using the 6-min walk test,a disease knowledge and attitudes questionnaire,and the Pregnancy Exercise Self-Efficacy Scale.Primary outcomes included exercise adherence,blood pressure control,incidence of preeclampsia,and other pregnancy-related outcomes.Results A total of 129 participants completed the study(the intervention group[n=65],the control group[n=64]).At 6 weeks post-intervention,the experimental group demonstrated significantly greater improvements than the control group in exercise adherence,blood pressure control,preeclampsia incidence,disease-related knowledge and attitudes,and exercise self-efficacy(all P0.05).Conclusion By embedding video-based education,real-time monitoring,and personalized support into routine prenatal care,this intervention facilitated positive behavioral changes in physical activity among pregnant women.The approach offers a scalable model for clinical nurses to delivering tailored remote exercise support for women with other pregnancy-related complications.
摘要BACKGROUND Gestational diabetes mellitus(GDM)is characterized by glucose intolerance first identified during pregnancy.Adipokines are adipose-derived hormones regulating insulin sensitivity,while body composition describes the body’s fat and non-fat components,which change dynamically in gestation.AIM To explore the associations between body composition,adipokines,and GDM risk,identifying early predictive markers to enhance prenatal risk assessment.METHODS A retrospective analysis included 1656 singleton pregnant women(276 with GDM,1380 with normal glucose tolerance)from 2020-2024.Early pregnancy(6-16 weeks)body composition was assessed via bioelectrical impedance analysis.Adipokines(leptin,adiponectin,fatty acid-binding protein 4)and metabolic indices were measured during 24-28 weeks oral glucose tolerance test.Group comparisons,logistic regression,correlation analysis,and receiver operating characteristic curves were used to evaluate relationships and diagnostic performance.RESULTS GDM women had higher pre-pregnancy body mass index(BMI),glucose/insulin,homeostasis model assessment of insulin resistance,lower insulin sensitivity index(all P<0.05).GDM showed higher fat mass percentage(FMP)(36.23%±7.54%vs 33.12%±9.87%),fat mass index(FMI)(9.87±3.32 kg/m2vs 8.34±4.11 kg/m2),extracellular-to-intracellular water ratio(ECW/ICW)(0.63±0.03 vs 0.61±0.02),lower lean mass indices(all P<0.001 except ECW/ICW P=0.012).GDM had higher leptin(P=0.014),lower adiponectin(P=0.021).FMP elevation was independent risk factor(odds ratio=1.412,P=0.030).Pre-pregnancy BMI(area under the curve=0.662),FMP(0.651),FMI(0.650)had better diagnostic value than ECW/ICW(0.606).CONCLUSION Body composition parameters(FMP,FMI)and adipokines(leptin,adiponectin)are closely linked to GDM risk.Integrating these assessments into prenatal care facilitates early risk identification and targeted interventions to improve maternal-fetal outcomes.
摘要Children born with fetal growth restriction(FGR)or small for gestational age(SGA)face an increased risk of motor and cognitive impairments,although prevalence and severity vary across studies due to differences in definitions,assessment methods,and population characteristics.In recent years,advances in technology and clinical awareness have led to a growing body of research on the relationship between fetal growth and neurodevelopmental outcomes.This mini-review synthesises recent findings on the impact of SGA and FGR on neurodevelopment in preterm and term infants across the lifespan.Three databases were screened to identify original studies published between 2020 and 2025 with 40 studies meeting the selection criteria.Evidence suggests that children born SGA or with FGR are at higher risk of cognitive impairments,which may persist into later life;however,results from some preterm cohorts do not show significant associations.Findings on sensory and behavioural outcomes are limited and heterogeneous,reflecting the fewer studies that have addressed these domains.Regarding motor outcomes,reports on cerebral palsy remain inconsistent,with some studies suggesting no increased risk.In contrast,broader evaluations of motor function consistently indicate a higher prevalence,particularly among term-born cohorts.Together,these findings highlight the need for refined definitions,standardised assessment tools,and longitudinal studies to clarify the developmental trajectories of children born with growth complications and to guide early interventions.
摘要BACKGROUND Gestational diabetes mellitus(GDM),characterized by glucose intolerance,is an increasingly prevalent public health issue linked to both maternal and neonatal complications.Dyslipidemia,a cardiovascular risk factor associated with insulin resistance,can exacerbate GDM and lead to more severe maternal and fetal outcomes.While lipid changes are normal in pregnancy,excessive dysregulation may cause endothelial dysfunction,inflammation,and complications such as preeclampsia,macrosomia,and cesarean delivery.Understanding the burden of these conditions in local settings is crucial for early risk identification,targeted prevention,and improved maternal-fetal health.AIM To determine the prevalence and identify factors associated with GDM and its association with dyslipidemia among pregnant women attending health facilities in the Buea Health District(BHD),Cameroon.METHODS A cross-sectional hospital-based study was conducted from January 2024 to July 2024 in the BHD.A total of 113 pregnant women were selected by convenience.Sociodemographic,obstetric,and lifestyle data were collected using a structured and pretested questionnaire.Lipid profile was evaluated by enzymatic colorimetric methods.GDM was diagnosed by the oral glucose tolerance test using the National Institute for Health and Care Excellence 2015 criteria.Data were analyzed using the Statistical Package for Social Sciences version 26.The Student’s t-test was used to compare mean biochemical parameters between groups.Multivariate logistic regression analysis was conducted to assess the association between GDM and dyslipidemia.P<0.05 was considered statistically significant.RESULTS The age of participants was 28.70±5.19 years.The prevalence of GDM in the BHD was 10.6%.Pregnant women aged≥34 years had an 11.47-fold higher risk of developing GD than their counterparts aged 20-26 years[adjusted odds ratio(aOR)=11.47,95%confidence interval(95%CI):1.19-3.15;P=0.03].Also,unemployed women had an 8.80-fold higher risk of developing GDM compared to those who were employed(aOR=8.80,95%CI:1.01-2.06;P=0.04).Furthermore,women who exercised infrequently had a 10.31-fold higher risk of developing GDM than their counterparts who exercised daily(aOR=10.31,95%CI:1.69-3.06;P=0.02).Also,women who had a family history of diabetes were 4.35 times more at risk of developing GDM than their counterparts who had no family history(aOR=4.35,95%CI:0.91-2.10;P=0.04).The prevalence of dyslipidemia was 31.90%,and it was associated with the trimester of pregnancy(P=0.003).Pregnant women in their third trimester of pregnancy had a 2.86-fold higher risk of developing dyslipidemia compared to those in their second trimester(aOR=2.86,95%CI:1.06-7.70;P=0.004).Also,GDM was associated with dyslipidemia(P=0.037).CONCLUSION The prevalence of GDM and dyslipidemia among pregnant women in the BHD was 10.6%and 31.90%,respectively.Dyslipidemia was associated with GDM.Advanced maternal age,unemployment,less frequent exercise,and family history of diabetes mellitus were associated with GDM in the BHD.
基金Supported by the Chongqing Natural Science Foundation,No.CSTB2025NSCQ-GPX1031.
摘要Gestational diabetes mellitus(GDM)affects up to 14%of pregnancies globally and remains a major threat to maternal and fetal health,contributing to complications such as preeclampsia,macrosomia,and long-term metabolic disorders.As GDM involves dynamic immune-metabolic changes at the maternal-fetal interface,characterizing its gene expression landscape across relevant tissues is essential to identify biomarkers,therapeutic targets,and disease mechanisms.Over the past several years,numerous transcriptomic studies and publicly available datasets have been generated to uncover molecular mechanisms of GDM across diverse tissues and experimental models.Despite their potential,these resources remain underutilized,with many datasets yet to be fully mined for their biological and clinical insights.This review provides an overview of methodological advances in gene expression profiling relevant to GDM and highlights key tissues and models used.We discuss limitations of current datasets such as the scarcity of single-cell data and metadata inconsistencies and propose future directions,including integrative and cell-type-resolved transcriptomic studies.By consolidating and contextualizing current resources,this article underscores the importance of deeper data reuse and provides a concise roadmap for future research on the pathogenesis of GDM.
摘要Diabetes mellitus is a leading metabolic and non-communicable disease,affecting nearly 537 million adults worldwide.Recent research highlights the gut microbiota as a crucial factor in the onset and progression of diabetes.Gut microbial dysbiosis,an imbalance in microbial composition,has been increasingly recognized as a contributor to diabetes pathogenesis during pregnancy.The gut microbiome is influenced by multiple internal and external factors,which can worsen diabetes-related complications.A higher abundance of pathogenic microbes may lead to the release of microbial metabolites or DNA into circulation,contributing to metabolic disorders such as obesity,cardiovascular disease,and liver dysfunction.Microbial nucleic acids have been identified in the bloodstream of individuals with diabetes and in pregnant women,suggesting the existence of a circulating or blood microbiome.Various physiological and pathological conditions may permit gut microbes or their components to enter the bloodstream.This review introduces the concept that the blood microbiome may play a critical role during pregnancy,potentially increasing susceptibility to diabetes.It emphasizes the mechanistic link between gut dysbiosis,microbial translocation,and pregnancy-associated metabolic disturbances.Exploring gut and blood microbiome interactions in pregnancy could reveal early biomarkers and therapeutic targets for gestational diabetes mellitus.Future studies should focus on longitudinal microbiome analyses and interventions to restore microbial balance,offering new preventive strategies against diabetes during pregnancy.
摘要BACKGROUND Gestational diabetes mellitus(GDM)requires strict dietary management and blood glucose monitoring,which may impose long-term psychological stress during pregnancy and increase the risk of postpartum depression(PPD).However,the psychological impact of gestational glucose indicators and blood glucose control,as well as their predictive value for PPD in patients with GDM,remains insufficiently explored.AIM To identify factors associated with PPD in patients with GDM and to construct a prediction model for PPD risk.METHODS A cross-sectional survey was conducted among 204 patients with GDM who underwent prenatal checkups and delivered at Suzhou Ninth People’s Hospital between February 2024 and June 2025.At 6 weeks postpartum,PPD symptoms were measured using the Edinburgh PPD Scale,and participants were divided into PPD(52 cases)and non-PPD(152 cases)groups.Group differences were analyzed,and multivariate logistic regression was used to identify factors associated with PPD in patients with GDM.A predictive model was constructed based on various influencing factors and evaluated using goodness-of-fit testing and the area under the receiver operating characteristic curve.Model performance was further validated using K-fold fold cross-validation.RESULTS Significant differences between the PPD and non-PPD groups were observed for 2-hour postprandial blood glucose(2hPG)at GDM diagnosis(P=0.018),blood glucose control during pregnancy(P=0.012),postpartum maternalinfant separation(P=0.001),family care(P=0.001),and social support(P=0.007).Multivariate analysis identified high 2hPG,poor gestational blood glucose control,postpartum mother-infant separation,low family care,and low social support as independent risk factors for PPD in patients with GDM(all P<0.05).The predictive model was defined as Logit(P)=0.508×2hPG+0.687×gestational blood glucose control+1.092×postpartum mother-infant separation+0.745×low family care+0.289×low social support-4.766.The goodness-of-fit test showed no evidence of overfitting(χ2=1.754,P=0.514).The model’s area under the receiver operating characteristic curve value was 0.840(95%confidence interval:0.757-0.912),with a sensitivity of 0.839 and a specificity of 0.825.After 100 rounds of 10-fold cross-validation,the model demonstrated good generalization performance.CONCLUSION PPD incidence is high in patients with GDM and is associated with high 2hPG at diagnosis,poor blood glucose control during pregnancy,postpartum mother-infant separation,low family care,and low social support.A predictive model integrating these factors can effectively evaluate PPD risk in patients with GDM.
基金Supported by Quanzhou Science and Technology Plan Project,No.2018N116S.
摘要BACKGROUND Gestational hypertensive disorders(GHDs)are common pregnancy complications associated with severe maternal morbidity.Although their physical after-effects have been extensively reported,their effects on postpartum mental well-being,especially anxiety and depression,remain under-researched.AIM To evaluate the risk of postpartum anxiety and depression among women with GHD and assessed the protective role of a designed supportive care model.METHODS The participants were 220 women(110 with GHD;110 normotensive controls)who were matched for key obstetric variables.Participants’clinical and postnatal follow-up data were collected between June 2022 and May 2025.Standardized screening instruments were used to measure postpartum anxiety and depression between 6 and 12 weeks after delivery.Multivariable logistic regression was used to estimate adjusted odds ratios for postpartum mental health outcomes,accounting for relevant sociodemographic and obstetric confounders.Analyses in the hypertensive cohort examined the effect of structured supportive care models.RESULTS Women with GHD showed higher levels of postpartum anxiety and depression than normotensive controls.GHD was independently linked with higher odds of postpartum anxiety and depression after adjustment.Structured supportive care in the hypertensive cohort showed significantly lower prevalence and adjusted odds of postpartum anxiety and depression than in those who received standard postnatal care.CONCLUSION GHDs were associated with significantly elevated probabilities of postpartum anxiety and depression.Supportive care was associated with a significant reduction in this risk.Therefore,the introduction of specific psychosocial support into routine postpartum care for women with GHD should be considered.
摘要This letter discusses a recent study by Wu JX and Wu FF which published in World Journal of Psychiatry that examined factors influencing postpartum depression(PPD)in patients with gestational diabetes mellitus(GDM),and constructed a risk prediction model.The study enrolled 204 GDM patients,dividing them into PPD(n=52)and non-PPD(n=152)groups based on Edinburgh Postnatal Depression Scale scores at 6 weeks postpartum.Multivariate logistic regression analysis revealed that elevated 2-hour postprandial glucose at diagnosis,poor glycemic control during pregnancy,postpartum mother-infant separation,low family care,and low social support were independent risk factors for PPD.The prediction model,defined as Logit(P)=0.508×2-hour postprandial blood glucose+0.687×gestational blood glucose control+1.092×postpartum mother-infant separation+0.745×low family care+0.289×low social support-4.766,demonstrated robust performance with an area under the curve of 0.840,sensitivity of 0.839,and specificity of 0.825.The significance of the study lies in identifying GDM-specific PPD risk factors and constructing a practical predictive tool for clinical use.It establishes a critical link between glycemic indicators and postpartum mental health,expanding our understanding of psychological issues in GDM patients.This model enables early identification of high-risk individuals,facilitating targeted interventions such as enhanced glycemic management,promotion of mother-infant contact,and mobilization of family and social support resources.By shifting from passive treatment to active prevention,this approach has important implications for improving maternal mental health outcomes,promoting mother-infant wellbeing,and reducing family and societal burden.Although this was a single-center study with a small sample,these findings provide a foundation for future multicenter research and the development of digital risk assessment tools and personalized intervention strategies.
基金Supported by Shenzhen Nanshan District Health Science and Technology Program Project,No.NS2023102Municipal Financial Subsidy of Nanshan District Medical Key Discipline Construction.
摘要BACKGROUND Gestational diabetes mellitus(GDM)is a metabolic disorder occurring during pregnancy that poses substantial risks to both mothers and offspring.General control nonderepressible 2(GCN2)is a key sensor of cellular stress and a central mediator of the integrated stress response;however,its role in GDM remains unclear.AIM To investigate the role of GCN2 in GDM progression and its underlying mechanisms.METHODS A GDM mouse model(n=6/group)was established using a high-fat/high-sugar diet with GCN2 knockdown via shRNA.High glucose(HG)-treated HTR-8/SVneo cells were used as an in vitro model.Gene expression,metabolic parameters,histological changes,oxidative stress,endoplasmic reticulum stress(ERS),and mitochondrial function were assessed using molecular and biochemical methods.RESULTS GCN2 expression was increased in placental tissues of GDM mice and in HGtreated trophoblasts.GCN2 silencing significantly improved glucose-lipid metabolic abnormalities,reduced hepatic lipid accumulation,restored hepatic glycogen content,and alleviated placental apoptosis,oxidative stress,ERS activation,and mitochondrial dysfunction(P<0.05).In HG-exposed trophoblasts,GCN2 knockdown similarly attenuated ERS-mediated mitochondrial impairment,oxidative damage,and apoptosis(P<0.05),whereas these protective effects were CONCLUSION GCN2 is involved in GDM progression and may regulate placental injury through ERS-associated mitochondrial dysfunction,suggesting a potential therapeutic target.
摘要Objective:To explore the clinical effect of personalized nutritional support in elderly women with gestational diabetes(GDM),and explore its impact on the incidence of maternal complications and pregnancy outcomes.Methods:A total of 90 elderly pregnant women with gestational diabetes who were delivered in our hospital from January 2023 to January 2024 were selected as the research objects.They were randomly divided into an observation group and a control group,with 45 cases in each group.The control group only received routine pregnancy care and basic nutrition guidance,while the observation group received personalized nutrition support on this basis.Compare the blood glucose control,incidence of pregnancy complications,pregnancy outcomes,and neonatal outcomes between two groups of parturient.Result:After intervention,the fasting blood glucose(FPG),2-hour postprandial blood glucose(2hPG),and glycated hemoglobin(HbA1c)of the observation group were significantly lower than those of the control group,and the differences were statistically significant(p<0.05);The incidence of complications such as gestational hypertension syndrome,polyhydramnios,premature rupture of membranes,and postpartum hemorrhage in the observation group was significantly lower than that in the control group,and the difference was statistically significant(p<0.05);The cesarean section rate in the observation group was significantly lower than that in the control group,and the incidence of adverse neonatal outcomes such as fetal distress,macrosomia,neonatal asphyxia,and neonatal hypoglycemia in the observation group was significantly lower than that in the control group,with statistical significance(p<0.05).Conclusion:Individualized nutritional support for elderly women with gestational diabetes can effectively improve the level of maternal blood sugar control,reduce the incidence of complications during pregnancy,and improve the outcome of pregnancy and neonatal outcomes,which is of high clinical value.
基金Supported by Nanjing Medical Science and Technique Development Foundation,No.YKK23151the Opening Foundation of Key Laboratory,No.JSHD202313+3 种基金Yingke Xinchuang Research Foundation of Jiangsu Blood Transfusion Association,No.JSYK2024006the Jiangsu Province Capability Improvement Project through Science,Technology and Education,No.ZDXYS202210Open Project of the State Key Laboratory of Reproductive Medicine of Nanjing Medical University,No.SKLRM-K202107the Jiangsu Provincial Maternal and Child Health Research Program,No.F202040.
摘要BACKGROUND The primary complication associated with gestational diabetes mellitus(GDM)is delivery of an infant that is large for gestational age(LGA).Epidemiological findings have demonstrated that irregular lipid metabolism significantly con-tributes to insulin resistance,a key pathophysiological mechanism in GDM.However,the correlation between various lipid indices and the probability of delivering LGA infants remains inconsistent.AIM To explore the relationships between lipid indices and the possibility of having LGA infants among GDM-affected pregnant females.METHODS Binary logistic regression methods were employed to evaluate the odds ratios and corresponding 95%confidence intervals for LGA according to five lipid indices.Restricted cubic spline models were applied to investigate dose-response relationships.The association between lipid indices and the risk of delivering LGA infants was further investigated among different subgroups.Receiver operating characteristic curves were utilized to assess the diagnostic performance of lipid indices.RESULTS Across crude and adjusted models,females with lipid indices in the upper two tertiles presented a markedly elevated risk of delivering LGA infants compared with the lowest tertile category.Conversely,high-density lipoprotein cholesterol levels demonstrated the contrary trend.Restricted cubic spline analyses revealed linear associations between the five lipid indices,except triglyceride levels,and the prevalence of LGA.The subgroup analysis highlighted that the correlation between lipid indices and the probability of LGA was inconsistent.The five lipid indices presented significant diagnostic efficacy,as indicated by receiver operating characteristic curve areas.CONCLUSION Our research demonstrated that lipid indices were effective predictors of the incidence of LGA infants in GDM-affected pregnancies irrespective of potential confounding factors.
基金The research received approval from Children’s Hospital of Shanxi Committee (Approval Number:KLT6230511).
摘要BACKGROUND Food insecurity(FI)during pregnancy negatively impacts maternal health and raises the risk of gestational diabetes mellitus(GDM)and pregnancy-induced hypertension(PIH),resulting in adverse outcomes for both mother and baby.AIM To investigate the relationships between FI and pregnancy outcomes,particularly GDM and PIH,while also examining the mediating role of the dietary diversity score(DDS).METHODS A cross-sectional study was undertaken to examine this relationship,involving 600 pregnant women.Participants were women aged 18 years or older who provided complete data on FI and pregnancy outcomes.The FI was measured via the Household Food Security Survey Module,with GDM defined as fasting plasma glucose levels of≥5.1 mmol/L or a 2-hour oral glucose tolerance test value of≥8.5 mmol/L.The DDS is determined by evaluating one's food consumption based on nine distinct food groups.A logistic regression model was used to explore the relationship between FI and PIH,and GDM.RESULTS Seventeen percent of participants reported experiencing FI during pregnancy.The study found a significant association between FI and an elevated risk of GDM[odds ratio(OR)=3.32,95%CI:1.2-5.4].Once more,food-insecure pregnant women had higher rates of PIH(OR=0.10,95%CI:0.02-0.45)and they also faced a higher likelihood of neonatal complications,such as neonatal intensive care unit’s admissions and the birth of infants with extremely low birth weight.The FI wasfurther linked to metabolic disruptions,such as elevated fasting blood sugar(FBS),low-density lipoprotein cholesterol,and triglyceride levels.Our results indicate that the DDS acts as a significant mediator in the relationship between FI and the incidence of GDM.In particular,the mediation analysis showed that approximately 65%of the effect was mediated through DDS(P=0.002).CONCLUSION These findings underscore the serious challenges that FI presents during pregnancy and its effects on maternal and infant health.Additionally,the study explored how DDS mediates the relationship between FI and the incidence of GDM.
基金supported by the Capital’s Funds for Health Improvement and Research(No.2024-2G-2118)the National Key Research and Development Program of China(2016YFC1000101)+2 种基金the Leading Talents in the Construction Project of High-Level Public Health Technical Talents in Beijing(2022-1-003)the“Green Seedling”Youth Program by the Beijing Hospitals Authority(QML20231402)the Young Elite Scientist Sponsorship Program by the Beijing Association for Science and Technology(BYESS2022200)。
摘要Objective To investigate the association between ABO blood types and gestational diabetes mellitus(GDM)risk.Methods A prospective birth cohort study was conducted.ABO blood types were determined using the slide method.GDM diagnosis was based on a 75-g,2-h oral glucose tolerance test(OGTT)according to the criteria of the International Association of Diabetes and Pregnancy Study Groups.Logistic regression was applied to calculate the odds ratios(ORs)and 95%confidence intervals(CIs)between ABO blood types and GDM risk.Results A total of 30,740 pregnant women with a mean age of 31.81 years were enrolled in this study.The ABO blood types distribution was:type O(30.99%),type A(26.58%),type B(32.20%),and type AB(10.23%).GDM was identified in 14.44%of participants.Using blood type O as a reference,GDM risk was not significantly higher for types A(OR=1.05)or B(OR=1.04).However,women with type AB had a 19%increased risk of GDM(OR=1.19,95%CI=1.05–1.34;P<0.05),even after adjusting for various factors.This increased risk for type AB was consistent across subgroup and sensitivity analyses.Conclusion The ABO blood types may influence GDM risk,with type AB associated with a higher risk.Incorporating it—either as a single risk factor or in combination with other known factors—could help identify individuals at risk for GDM before or during early pregnancy.