New exploration on pathogenesis and early diagnosis of gestational diabetes

Gestational diabetes mellitus(GDM)refers to varying degrees of abnormal glucose metabolism that occur during pregnancy and excludes patients pre-viously diagnosed with diabetes.GDM is a unique among the four subtypes of diabetes classified by the international World Health Organization standards.Although GDM patients constitute a small proportion of the total number of diabetes cases,the incidence of GDM has risen significantly over the past decade,posing substantial risk to pregnant women and infants.Therefore,it warrants considerable attention.The pathogenesis of GDM is generally considered to resemble that of type II diabetes,though it may have distinct characteristics.Analyzing blood biochemical proteins in the context of GDM can help elucidate its pathogenesis,thereby facilitating more effective prevention and management strategies.This article reviews this critical clinical issue to enhance the medical community's sufficient understanding of GDM.

Intricacies during pregnancy with gestational diabetes mellitus

The study by Cao et al aimed to identify early second-trimester biomarkers that could predict gestational diabetes mellitus(GDM)development using advanced proteomic techniques,such as Isobaric tags for relative and absolute quantitation isobaric tags for relative and absolute quantitation and liquid chromatography-mass spectrometry liquid chromatography-mass spectrometry.Their analysis revealed 47 differentially expressed proteins in the GDM group,with retinol-binding protein 4 and angiopoietin-like 8 showing significantly elevated serum levels compared to controls.Although these findings are promising,the study is limited by its small sample size(n=4 per group)and lacks essential details on the reproducibility and reliability of the protein quantification methods used.Furthermore,the absence of experimental validation weakens the interpretation of the protein-protein interaction network identified through bioinformatics analysis.The study's focus on second-trimester biomarkers raises concerns about whether this is a sufficiently early period to implement preventive interventions for GDM.Predicting GDM risk during the first trimester or pre-conceptional period may offer more clinical relevance.Despite its limitations,the study presents valuable insights into potential GDM biomarkers,but larger,well-validated studies are needed to establish their predictive utility and generalizability.

Associations between food insecurity with gestational diabetes mellitus and maternal outcomes mediated by dietary diversity:A cross-sectional study

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.

Investigation and study on the epidemiology of gestational diabetes mellitus in Guizhou

BACKGROUND Gestational diabetes mellitus(GDM)is a growing public health concern,particularly in regions with diverse ethnic populations.Understanding the incidence and risk factors of GDM is crucial for early prevention and management,especially in underrepresented areas like Guizhou Province,China,where geographic and ethnic diversity may influence the disease’s prevalence and risk profiles.AIM To investigate the incidence of GDM and identify its associated risk and protective factors among different ethnic groups in Guizhou Province,providing essential data for early prevention strategies.METHODS A multi-center retrospective study was conducted,dividing participants into GDM and non-GDM groups according to standardized diagnostic criteria.Data were collected from 103629 deliveries across 40 hospitals in Guizhou.Various demographic,clinical,and laboratory parameters were analyzed using logistic regression to identify risk and protective factors for GDM.RESULTS Among the 103629 deliveries,18957 cases of GDM were identified,with an incidence of approximately 18.3%.The risk of GDM was higher in the Han ethnic group compared to minority ethnic groups.The Dong ethnic group had the lowest incidence among the minorities.Key risk factors identified included older age(especially>35 years),higher pre-pregnancy body mass index(BMI),light physical activity,gravidity,family history of diabetes,hemoglobin,aspartate aminotransferase,alanine aminotransferase,and direct bilirubin.Protective factors included higher education level,total protein,and albumin.There were also differences based on blood type,with type A associated with higher risk.CONCLUSION The incidence rate in Guizhou is 18.3%.Older age(especially>35 years),Han ethnicity,lower education level,higher pre-pregnancy BMI,light physical activity,and higher gravidity are the main risk factors for GDM.Laboratory findings indicate that higher hemoglobin,higher liver function parameters(alanine aminotransferase,aspartate aminotransferase,and direct bilirubin),and lower total protein and albumin are associated with a higher risk of GDM.Blood type A has a higher risk of GDM compared to blood types AB and O.

Pelvic floor dysfunction in patients with gestational diabetes mellitus

In this editorial,we comment on an article by Wang et al.Recent literature shows an increase in research on pelvic organ prolapse(POP).Although the true incidence of POP remains uncertain,its impact on quality of life is substantial.Anatomical studies report high incidence rates,surpassing those observed in symptom-based surveys.Weakness of the endopelvic fascia is a primary anatomical risk factor for POP.Additionally,gestational diabetes mellitus(GDM)has emerged as a growing concern,as poor glycemic control increases complications for both mother and fetus.GDM and POP are interconnected,with factors like maternal obesity,macrosomia,and hormonal changes exacerbating pelvic floor dysfunction.Modifiable risk factors,such as obesity and chronic hyperglycemia,along with multiparity,instrumental deliveries,and obstetric trauma,further increase susceptibility.For patients with GDM,gynecological exams,Pelvic Organ Prolapse Quantification staging,and pelvic floor ultrasonography are valuable diagnostics,with proctological exams and magnetic resonance defecography aiding in multi-compartment prolapse diagnoses.Imaging,though uncomfortable during pregnancy,is safe in the early postpartum period.This editorial emphasizes the need for further research on the pathophysiology of GDM-related POP and offers recommendations for improving diagnosis and clinical management of patients with GDM.

Proteomics for early prenatal screening of gestational diabetes mellitus

In this editorial,we comment on the article by Cao et al.Through applying isobaric tags for relative and absolute quantification technology coupled with liquid chromatography-tandem mass spectrometry,the researchers observed significant differential expression of 47 proteins when comparing serum samples from pregnant women with gestational diabetes mellitus(GDM)to the healthy ones.GDM symptoms may involve abnormalities in inflammatory response,complement system,coagulation cascade activation,and lipid metabolism.Retinol binding protein 4 and angiopoietin like 8 are potential early indicators of GDM.GDM stands out as one of the most prevalent metabolic complications during pregnancy and is linked to severe maternal and fetal outcomes like pre-eclampsia and stillbirth.Nevertheless,none of the biomarkers discovered so far have demonstrated effectiveness in predicting GDM.Our topic was designed to foster insights into advances in the application of proteomics for early prenatal screening of GDM.

Serum proteins differentially expressed in gestational diabetes mellitus assessed using isobaric tag for relative and absolute quantitation proteomics

BACKGROUND As a well-known fact to the public,gestational diabetes mellitus(GDM)could bring serious risks for both pregnant women and infants.During this important investigation into the linkage between GDM patients and their altered expression in the serum,proteomics techniques were deployed to detect the differentially expressed proteins(DEPs)of in the serum of GDM patients to further explore its pathogenesis,and find out possible biomarkers to forecast GDM occurrence.METHODS Subjects were divided into GDM and normal control groups according to the IADPSG diagnostic criteria.Serum samples were randomly selected from four cases in each group at 24-28 wk of gestation,and the blood samples were identified by applying iTRAQ technology combined with liquid chromatography-tandem mass spectrometry.Key proteins and signaling pathways associated with GDM were identified by bioinformatics analysis,and the expression of key proteins in serum from 12 wk to 16 wk of gestation was further verified using enzyme-linked immunosorbent assay (ELISA).RESULTS Forty-seven proteins were significantly differentially expressed by analyzing the serum samples between the GDMgravidas as well as the healthy ones. Among them, 31 proteins were found to be upregulated notably and the rest16 proteins were downregulated remarkably. Bioinformatic data report revealed abnormal expression of proteinsassociated with lipid metabolism, coagulation cascade activation, complement system and inflammatory responsein the GDM group. ELISA results showed that the contents of RBP4, as well as ANGPTL8, increased in the serumof GDM gravidas compared with the healthy ones, and this change was found to initiate from 12 wk to 16 wk ofgestation.CONCLUSION GDM symptoms may involve abnormalities in lipid metabolism, coagulation cascade activation, complementsystem and inflammatory response. RBP4 and ANGPTL8 are expected to be early predictors of GDM.

Epigenetic modifications of placenta in women with gestational diabetes mellitus and their offspring

Gestational diabetes mellitus(GDM)is a pregnancy-related complication characterized by abnormal glucose metabolism in pregnant women and has an important impact on fetal development.As a bridge between the mother and the fetus,the placenta has nutrient transport functions,endocrine functions,etc.,and can regulate placental nutrient transport and fetal growth and development according to maternal metabolic status.Only by means of placental transmission can changes in maternal hyperglycemia affect the fetus.There are many reports on the placental pathophysiological changes associated with GDM,the impacts of GDM on the growth and development of offspring,and the prevalence of GDM in offspring after birth.Placental epigenetic changes in GDM are involved in the programming of fetal development and are involved in the pathogenesis of later chronic diseases.This paper summarizes the effects of changes in placental nutrient transport function and hormone secretion levels due to maternal hyperglycemia and hyperinsulinemia on the development of offspring as well as the participation of changes in placental epigenetic modifications due to maternal hyperglycemia in intrauterine fetal programming to promote a comprehensive understanding of the impacts of placental epigenetic modifications on the development of offspring from patients with GDM.

Associations of serum D-dimer and glycosylated hemoglobin levels with third-trimester fetal growth restriction in gestational diabetes mellitus

BACKGROUND Gestational diabetes mellitus(GDM)is a special type of diabetes that commonly occurs in women during pregnancy and involves impaired glucose tolerance and abnormal glucose metabolism;GDM is diagnosed for the first time during pregnancy and can affect fetal growth and development.AIM To investigate the associations of serum D-dimer(D-D)and glycosylated hemoglobin(HbA1c)levels with third-trimester fetal growth restriction(FGR)in GDM patients.METHODS The clinical data of 164 pregnant women who were diagnosed with GDM and delivered at the Obstetrics and Gynecology Hospital of Fudan University from January 2021 to January 2023 were analyzed retrospectively.Among these women,63 whose fetuses had FGR were included in the FGR group,and 101 women whose fetuses had normal body weights were included in the normal body weight group(normal group).Fasting venous blood samples were collected from the elbow at 28-30 wk gestation and 1-3 d before delivery to measure serum D-D and HbA1c levels for comparative analysis.The diagnostic value of serum D-D and HbA1c levels for FGR was evaluated by receiver operating characteristic analysis,and the influencing factors of third-trimester FGR in GDM patients were analyzed by logistic regression.RESULTS Serum fasting blood glucose,fasting insulin,D-D and HbA1c levels were significantly greater in the FGR group than in the normal group,while the homeostasis model assessment of insulin resistance values were lower(P<0.05).Regarding the diagnosis of FGR based on serum D-D and HbA1c levels,the areas under the curves(AUCs)were 0.826 and 0.848,the cutoff values were 3.04 mg/L and 5.80%,the sensitivities were 81.0%and 79.4%,and the specificities were 88.1%and 87.1%,respectively.The AUC of serum D-D plus HbA1c levels for diagnosing FGR was 0.928,and the sensitivity and specificity were 84.1%and 91.1%,respectively.High D-D and HbA1c levels were risk factors for third-trimester FGR in GDM patients(P<0.05).CONCLUSION D-D and HbA1c levels can indicate the occurrence of FGR in GDM patients in the third trimester of pregnancy to some extent,and their combination can be used as an important index for the early prediction of FGR.

Prevalence of Gestational Diabetes Mellitus in Puerto Rico: A Study from 2016 to 2021

Background: Gestational diabetes mellitus (GDM) is a temporary form of insulin resistance during pregnancy and is linked to adverse outcomes for both mothers and offspring. Maternal risks include an increased prevalence of pre-eclampsia, cesarean delivery, and the development of type 2 diabetes within five to ten years post-delivery. For offspring, exposure to elevated maternal glucose levels is associated with macrosomia. A significant challenge in evaluating the prevalence of GDM in Puerto Rico is the lack of recent research quantifying this condition in pregnant women living in Puerto Rico. Objective: This study aimed to estimate the prevalence of Gestational Diabetes Mellitus from 2016 to 2021 by analyzing data collected by Puerto Rico’s Department of Health. Methods: We obtained publicly accessible data from the Division of Children, Mothers, and Adolescents from Puerto Rico’s Department of Health to estimate the prevalence of GDM across the island. Additionally, we correlated the prevalence with socioeconomic, educational, and demographic variables using beta regression models to assess their significance. Results: The prevalence of GDM ranged from 3.2% to 4.5% for the six years studied, with an average prevalence of 3.68%. Regression analysis revealed a significant positive relationship between maternal age and educational level. Higher educational attainment was associated with a reduced risk of GDM, while increasing maternal age was linked to a higher prevalence of the condition. Conclusion: This statistical analysis provides evidence of a steady increase in the prevalence of GDM in Puerto Rico from 2016 to 2021, highlighting the importance of ongoing surveillance and specific interventions to mitigate risk factors.

Developing and validating a predictive model of delivering large-forgestational-age infants among women with gestational diabetes mellitus

BACKGROUND The birth of large-for-gestational-age(LGA)infants is associated with many shortterm adverse pregnancy outcomes.It has been observed that the proportion of LGA infants born to pregnant women with gestational diabetes mellitus(GDM)is significantly higher than that born to healthy pregnant women.However,traditional methods for the diagnosis of LGA have limitations.Therefore,this study aims to establish a predictive model that can effectively identify women with GDM who are at risk of delivering LGA infants.AIM To develop and validate a nomogram prediction model of delivering LGA infants among pregnant women with GDM,and provide strategies for the effective prevention and timely intervention of LGA.METHODS The multivariable prediction model was developed by carrying out the following steps.First,the variables that were associated with LGA risk in pregnant women with GDM were screened by univariate analyses,for which the P value was<0.10.Subsequently,Least Absolute Shrinkage and Selection Operator regression was fit using ten cross-validations,and the optimal combination factors were se-lected by choosing lambda 1se as the criterion.The final predictors were deter-mined by multiple backward stepwise logistic regression analysis,in which only the independent variables were associated with LGA risk,with a P value<0.05.Finally,a risk prediction model was established and subsequently evaluated by using area under the receiver operating characteristic curve,calibration curve and decision curve analyses.RESULTS After using a multistep screening method,we establish a predictive model.Several risk factors for delivering an LGA infant were identified(P<0.01),including weight gain during pregnancy,parity,triglyceride-glucose index,free tetraiodothyronine level,abdominal circumference,alanine transaminase-aspartate aminotransferase ratio and weight at 24 gestational weeks.The nomogram’s prediction ability was supported by the area under the curve(0.703,0.709,and 0.699 for the training cohort,validation cohort,and test cohort,respectively).The calibration curves of the three cohorts displayed good agreement.The decision curve showed that the use of the 10%-60%threshold for identifying pregnant women with GDM who are at risk of delivering an LGA infant would result in a positive net benefit.CONCLUSION Our nomogram incorporated easily accessible risk factors,facilitating individualized prediction of pregnant women with GDM who are likely to deliver an LGA infant.

Long-term effects of gestational diabetes mellitus on the pancreas of female mouse offspring

BACKGROUND Prolonged fetal exposure to hyperglycemia may increase the risk of developing abnormal glucose metabolism and type-2 diabetes during childhood,adolescence,and adulthood;however,the mechanisms by which gestational diabetes mellitus(GDM)predisposes offspring to metabolic disorders remain unknown.AIM To quantify the nerve axons,macrophages,and vasculature in the pancreas from adult offspring born from mouse dams with GDM.METHODS GDM was induced by i.p.administration of streptozotocin(STZ)in ICR mouse dams.At 12 wk old,fasting blood glucose levels were determined in offspring.At 15 wk old,female offspring born from dams with and without GDM were sacrificed and pancreata were processed for immunohistochemistry.We quantified the density of sensory[calcitonin gene-related peptide(CGRP)]and tyrosine hydroxylase(TH)axons,blood vessels(endomucin),and macro-phages(CD68)in the splenic pancreas using confocal microscopy.RESULTS Offspring mice born from STZ-treated dams had similar body weight and blood glucose values compared to offspring born from vehicle-treated dams.However,the density of CGRP+and TH+axons,endomucin+blood vessels,and CD68+macrophages in the exocrine pancreas was significantly greater in offspring from mothers with GDM vs control offspring.Likewise,the microvasculature in the islets was significantly greater,but not the number of macrophages within the islets of offspring born from dams with GDM compared to control mice.CONCLUSION GDM induces neuronal,vascular,and inflammatory changes in the pancreas of adult progeny,which may partially explain the higher propensity for offspring of mothers with GDM to develop metabolic diseases.

Tailored nutritional interventions: A precision approach to managing gestational diabetes mellitus

Gestational diabetes mellitus(GDM)is a risk to maternal-fetal health due to uncertain diagnostic criteria and treatment options.Luo's study demonstrated the efficacy of customized nutritional therapies in controlling GDM.Tailored strategies led to significant body weight loss,improved glucolipid metabolism,and fewer prenatal and newborn problems.This holistic approach,which emphasizes the notion of’chrononutrition’,takes into account optimal meal timing that is in sync with circadian rhythms,as well as enhanced sleep hygiene.Implementing tailored dietary therapy,managing meal timing,and ensuring appropriate sleep may improve results for women with GDM,opening up a possible avenue for multi-center trials.

Co-Morbidities Associated with Prematurity in Two Referral Hospitals in Cameroon

Introduction: Prematurity is the leading cause of neonatal death in Africa. More than a million children die each year due to co-morbidities related to prematurity. In addition to being one of the causes of neonatal deaths, the health problems associated with prematurity can also lead to severe lifelong impairment in those who survive. Objectives: This paper aims to determine the epidemiology and identify co-morbidities of prematurity in the neonatology units of the Douala General Hospital (DGH) and the Laquintinie Hospital of Douala (LHD). Patients and Methodology: We conducted an analytical retrospective cohort study from January 2015 to January 2018 in the neonatology department of the GDH and the LHD, which are considered reference hospitals for the management of preterm babies in Cameroon. We included all newborns aged less than 37 weeks admitted to the neonatology units of the GDH and the LHD. The descriptive component was based on the analysis of quantitative variables using measures of central tendency. The analytical component was evaluated using Spearman correlations and the Chi-square and Fisher tests. Simple and multiple logistic regressions measured factors predictive of mortality. The Kaplan Meier survival curve used the Log Rank test and significance at p ≤ 0.05. Results: We recorded 908 preterm newborns in neonatal service and 1,124 preterm deliveries in maternity, representing an incidence of 32.5% in neonatal unit and 10.6% in maternity. 51% of whom were girls, given a sex ratio M/F of 0.9. Hypertension was the main prenatal pathology (9.1%), while premature rupture of membranes: PROM (35.5%) and eclampsia/pre-eclampsia (18.6%) were the most common obstetrical pathologies. 75.9% of deliveries were vaginal with 65.2% being performed in our referral hospitals. Gestational age ranged from 22 to 36 weeks, with a mean of 32.4 weeks. Late preterm birth rate was 53.7%, and birth weight varied between 590 and 3200 g with an average of 1747 ± 479 g. The percentage of low birth weight (1500 - 2499 g) preterm infants was predominant (65.3%), and the intrauterine growth restriction (IUGR) was estimated to be 12.4%. The majority (96.7%) had pathologies in the neonatal period, the most common being neonatal infection (86.9%). The case-fatality rate was 27.4%, compared to 72.6% live births. Factors influencing mortality are risk of premature labour, gestational age ≤ 32 SA, premature birth in hospitals other than our two referral hospitals, birth weight ≤ 1500 g, Apgar at the 10th minute, late secondary anaemia, hospital resuscitation, oxygen therapy, and duration of hospitalization Conclusion: The incidence of prematurity and the mortality rate remains high in neonatal units in Cameroon. Adequate monitoring of pregnancies and management of preterm infants remains a challenge in our context.

Modifiable factors mediating the effects of educational attainment on gestational diabetes mellitus: A two-step Mendelian randomization study

BACKGROUND Although there is currently a wealth of evidence to indicate that maternal educational attainment is associated with gestational diabetes mellitus(GDM),the specific modifiable risk factors that mediate the causal relationship between these two variables have yet to be identified.AIM To identify the specific modifiable risk factors that mediate the causal relationship between the level of maternal education and GDM.METHODS Mendelian randomization(MR)was conducted using data from genome-wide association studies of European populations.We initially performed a two-sample MR analysis using data on genetic variants associated with the duration of education as instruments,and subsequently adopted a two-step MR approach using metabolic and lifestyle factors as mediators to examine the mechanisms underlying the relationship between the level of maternal education and risk of developing GDM.In addition,we calculated the proportions of total causal effects mediated by identified metabolic and lifestyle factors.RESULTS A genetically predicted higher educational attainment was found to be associated with a lower risk of developing GDM(OR:0.71,95%CI:0.60-0.84).Among the metabolic factors assessed,four emerged as potential mediators of the education-GDM association,which,ranked by mediated proportions,were as follows:Waist-to-hip-ratio(31.56%,95%CI:12.38%-50.70%),body mass index(19.20%,95%CI:12.03%-26.42%),high-density lipoprotein cholesterol(12.81%,95%CI:8.65%-17.05%),and apolipoprotein A-1(7.70%,95%CI:4.32%-11.05%).These findings proved to be robust to sensitivity analyses.CONCLUSION Our findings indicate a causal relationship between lower levels of maternal education and the risk of developing GDM can be partly explained by adverse metabolic profiles.

Management of gestational diabetes mellitus via nutritional interventions:The relevance of gastric emptying

Gestational diabetes mellitus(GDM)represents one of the most common medical complications of pregnancy and is important to the well-being of both mothers and offspring in the short and long term.Lifestyle intervention remains the mainstay for the management of GDM.The efficacy of nutritional approaches(e.g.calorie restriction and small frequent meals)to improving the maternal-neonatal outcomes of GDM was attested to by Chinese population data,discussed in two articles in recent issues of this journal.However,a specific focus on the relevance of postprandial glycaemic control was lacking.Postprandial rather than fasting hyperglycaemia often represents the predominant manifestation of disordered glucose homeostasis in Chinese women with GDM.There is now increasing appreciation that the rate of gastric emptying,which controls the delivery of nutrients for digestion and absorption in the small intestine,is a key determinant of postprandial glycaemia in both health,type 1 and 2 diabetes.It remains to be established whether gastric emptying is abnormally rapid in GDM,particularly among Chinese women,thus contributing to a predisposition to postprandial hyperglycaemia,and if so,how this influences the therapeutic response to nutritional interventions.It is essential that we understand the role of gastric emptying in the regulation of postprandial glycaemia during pregnancy and the potential for its modulation by nutritional strategies in order to improve postprandial glycaemic control in GDM.

Clinically significant changes in anal sphincter hiatal area in patients with gestational diabetes mellitus and pelvic organ prolapse

BACKGROUND The prevalence of pelvic organ prolapse(POP)increases with age and parity.Specifically,the prevalence of POP among women aged 20 to 39 is 9.7%,while it rises to 49%among women over 80 years old.Additionally,as the number of deliveries increases,the prevalence of POP also rises accordingly,with a rate of 12.8%for women with one delivery history,18.7%for those with two deliveries,and 24.6%for women with three or more deliveries.It causes immense suffering for pregnant women.AIM To evaluate the relationship between the levator ani muscle’s hiatus(LH)area and POP in patients with gestational diabetes mellitus(GDM)using perineal ultrasound.METHODS The study cohort comprised 104 patients aged 29.8±3.7 years who sought medical care at our institution between January 2021 and June 2023.All were singleton pregnancies consisting of 75 primiparas and 29 multiparas,with an average parity of 1.7±0.5.According to the POP diagnostic criteria,the 104 subjects were divided into two groups with 52 members each:POP group(patients with GDM combined with POP)and non-POP group(patients with GDM without POP).Perineal ultrasound was used to measure differences in the anteroposterior diameter,transverse diameter,and LH area.Receiver operating characteristic curves were drawn to determine the optimal cutoff values for the LH anteroposterior diameter,transverse diameter,and area for diagnosing POP.RESULTS Statistically significant increase in the LH area,anteroposterior diameter,and lateral diameter were observed in the POP group compared with the non-POP group(P<0.05).Both groups exhibited markedly elevated incidence rates of macrosomia and stress urinary incontinence.For the POP group,the area under the curve(AUC)for the LH area was 0.906 with a 95%confidence interval(CI):0.824-0.988.The optimal cutoff was 13.54cm²,demonstrating a sensitivity of 83.2%and a specificity of 64.4%.The AUC for the anteroposterior diameter reached 0.836 with a 95%CI:0.729-0.943.The optimal cutoff was 5.53 cm with a sensitivity of 64.2%and a specificity of 73.4%.For the lateral diameter,its AUC was 0.568 with a 95%CI:0.407-0.729.The optimal cutoff was 4.67 cm,displaying a sensitivity of 65.9%and a specificity of 69.3%.Logistic regression analysis unveiled that age,body weight,number of childbirths,total number of pregnancies,and gestational weight gain constituted the independent risk factors for the cooccurrence of GDM and POP.CONCLUSION Three-dimensional perineal ultrasonography of LH size and shape changes can effectively diagnose POP.Age,weight,number of births,number of pregnancies,and weight gain during pregnancy are independent risk factors affecting the cooccurrence of GDM and POP.GDM can increase the LH area in patients,and an enlarged LH leads to an increased incidence of POP.

Circulating glycated albumin levels and gestational diabetes mellitus

BACKGROUND Gestational diabetes mellitus(GDM)is characterized by glucose intolerance that is first diagnosed during pregnancy,making it the most common complication associated with this period.Early detection and targeted treatment of GDM can minimize foetal exposure to maternal hyperglycaemia and subsequently reduce the associated adverse pregnancy outcomes.Previous studies have inconsistently suggested that the level of glycated albumin(GA)might predict GDM.AIM To review and synthesize existing evidence to evaluate the relationship between GA levels and the development of GDM.METHODS We sought to compare GA levels between GDM and control groups in this metaanalysis by systematically searching the Web of Science,PubMed,Cochrane Library,and Embase databases for articles published up to June 2023.The analysis utilized the weighted mean difference(WMD)as the primary metric.The data were meticulously extracted,and the quality of the included studies was assessed.Additionally,we conducted a subgroup analysis based on study region and sample size.We assessed heterogeneity using I2 statistics and evaluated publication bias through funnel plots.Additionally,trim-and-fill analysis was employed to detect and address any potential publication bias.RESULTS The meta-analysis included a total of 11 studies involving 5477 participants,comprising 1900 patients with GDM and 3577 control individuals.The synthesized results revealed a notable correlation between elevated GA levels and increased susceptibility to GDM.The calculated WMD was 0.42,with a 95%confidence interval(95%CI)ranging from 0.11 to 0.74,yielding a P value less than 0.001.Concerning specific GA levels,the mean GA level in the GDM group was 12.6,while for the control group,it was lower,at 11.6.This discrepancy underscores the potential of GA as a biomarker for assessing GDM risk.Moreover,we explored the levels of glycated haemoglobin(HbA1c)in both cohorts.The WMD for HbA1c was 0.19,with a 95%CI ranging from 0.15 to 0.22 and a P value less than 0.001.This observation suggested that both GA and HbA1c levels were elevated in individuals in the GDM group compared to those in the control group.CONCLUSION Our meta-analysis revealed a substantial correlation between elevated GA levels and increased GDM risk.Furthermore,our findings revealed elevated levels of HbA1c in GDM patients,emphasizing the significance of monitoring both GA and HbA1c levels for early GDM detection and effective management.

The Use of Glycated Albumin in the Diagnosis of Gestational Diabetes Mellitus

Gestational diabetes mellitus is the most common endocrine disorder in pregnancy and a cause of maternal and fetal morbidities and mortalities. The oral glucose tolerance test is the gold standard for diagnosing gestational diabetes mellitus. Nevertheless, the oral glucose tolerance test is time-consuming and requires patient preparation. On the contrary, Glycated albumin does not require patient preparation or administration of any substance. Most studies on glycated albumin in pregnancy were among the non-African population, and black Americans have higher glycated albumin levels than Caucasians. This study determined the use of glycated albumin in diagnosing gestational diabetes mellitus among pregnant women. The study was a prospective study of 160 pregnant women between 24 and 28 weeks of gestation at the University of Port Harcourt Teaching Hospital. The diagnosis of gestational diabetes mellitus was based on the World Health Organization 2013 criteria. The diagnostic value of glycated albumin was determined using the area under the receiver operator characteristic curve. The prevalence of gestational diabetes mellitus was 9.4% and the mean glycated albumin was 16.91% (±2.77). The area under the receiver operator characteristic curve for glycated albumin was 0.845 (95% CI 0.733 - 0.956;p = 0.0001). The optimal cut-off value of glycated albumin in the diagnosis of gestational diabetes mellitus was 18.9%. Glycated albumin was useful in the diagnosis of gestational diabetes mellitus at 24 to 28 weeks of gestation.

Effect of exercise during pregnancy on offspring development through ameliorating high glucose and hypoxia in gestational diabetes mellitus

BACKGROUND Gestational diabetes mellitus(GDM)women require prenatal care to minimize short-and long-term complications.The mechanism by which exercise during pregnancy affects organ development and whether glucose transporter(GLUT)1 plays a role in GDM offspring organ development remains unknown.AIM To determine the effect of exercise during pregnancy on the cardiac,hepatic and renal development of GDM mother’s offspring.METHODS Placenta samples were collected from humans and mice.GDM mouse models were created using streptozotocin along with a GDM with exercise group.The hearts,livers and kidneys of 3-and 8-week-old offspring were collected for body composition analysis and staining.The effects of high glucose levels and hypoxia were investigated using HTR8/SVneo.Transwell and wound-healing assays were performed to assess cell migration.Immunofluorescence accompanied with TUNEL and Ki67 staining was used to explore apoptosis and proliferation.RESULTS Exercise during pregnancy downregulated the GLUT1 and hypoxia inducible factor-1αexpression in placenta from individuals with GDM.Cobalt chloride induced hypoxia and high glucose levels also significantly decreased migration and apoptosis of HTR8/SVneo cells.In addition,exercise reduced inflammatory cell infiltration in the liver and decreased the tubular vacuolar area in the kidneys of offspring.CONCLUSION GDM affects the growth and development of organs in offspring.Exercise during pregnancy can reverse adverse effects of GDM on the development of the heart,liver,and kidney in offspring.