Analysis of Gestational Diabetes Mellitus (GDM) and Its Impact on Maternal and Fetal Health: A Comprehensive Dataset Study Using Data Analytic Tool Power BI

Gestational Diabetes Mellitus (GDM) is a significant health concern affecting pregnant women worldwide. It is characterized by elevated blood sugar levels during pregnancy and poses risks to both maternal and fetal health. Maternal complications of GDM include an increased risk of developing type 2 diabetes later in life, as well as hypertension and preeclampsia during pregnancy. Fetal complications may include macrosomia (large birth weight), birth injuries, and an increased risk of developing metabolic disorders later in life. Understanding the demographics, risk factors, and biomarkers associated with GDM is crucial for effective management and prevention strategies. This research aims to address these aspects comprehensively through the analysis of a dataset comprising 600 pregnant women. By exploring the demographics of the dataset and employing data modeling techniques, the study seeks to identify key risk factors associated with GDM. Moreover, by analyzing various biomarkers, the research aims to gain insights into the physiological mechanisms underlying GDM and its implications for maternal and fetal health. The significance of this research lies in its potential to inform clinical practice and public health policies related to GDM. By identifying demographic patterns and risk factors, healthcare providers can better tailor screening and intervention strategies for pregnant women at risk of GDM. Additionally, insights into biomarkers associated with GDM may contribute to the development of novel diagnostic tools and therapeutic approaches. Ultimately, by enhancing our understanding of GDM, this research aims to improve maternal and fetal outcomes and reduce the burden of this condition on healthcare systems and society. However, it’s important to acknowledge the limitations of the dataset used in this study. Further research utilizing larger and more diverse datasets, perhaps employing advanced data analysis techniques such as Power BI, is warranted to corroborate and expand upon the findings of this research. This underscores the ongoing need for continued investigation into GDM to refine our understanding and improve clinical management strategies.

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.

Gestational diabetes mellitus combined with fulminant type 1 diabetes mellitus, four cases of double diabetes: A case report

BACKGROUND Fulminant type 1 diabetes mellitus(FT1DM)that occurs during pregnancy or the perinatal period is known as pregnancy-related FT1DM(PF),always without history of abnormal glucose metabolism.Here,we present four patients who developed FT1DM during treatment but were first diagnosed with gestational diabetes mellitus(GDM).CASE SUMMARY The clinical data of four patients with GDM combined with FT1DM admitted to our hospital between July 2018 and April 2021 were collected,and the patients and their infants were followed up.All patients were diagnosed with GDM during the second trimester and were treated.The blood glucose level elevated suddenly during the third trimester and then were diagnosed with FT1DM.Two patients had an insulin allergy,and two had symptoms of upper respiratory tract infection before onset.One patient developed ketoacidosis,and three developed ketosis.Two patients had cesarean section deliveries,and two had vaginal deliveries.The growth and development of the infants were normal.C-peptide levels were lower than those at onset,suggesting progressive impairment of islet function.The frequencies of the DRB109:01,DQB103:03,DQA103:02,DPA101:03,DPA102:02,DPB105:01,DRB401:03,G 01:01,and G 01:04 human leukocyte antigen(HLA)-G alleles were high in the present study.CONCLUSION In comparison with pregnancy-associated FT1DM(PF),patients with GDM combined with FT1DM had an older age of onset,higher body mass index,slower onset,fewer prodromal symptoms,and less acidosis.The pathogenesis may be due to various factors affecting the already fragileβ-cells of GDM patients with genetically susceptible class II HLA genotypes.We speculate that GDM combined with FT1DM during pregnancy,referred to as“double diabetes,”is a subtype of PF with its own unique characteristics that should be investigated further.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Gestational diabetes mellitus may predispose to metabolic dysfunction-associated steatotic liver disease

The development of type 2 diabetes mellitus is a major contributing factor to the worldwide health burden of metabolic dysfunction-associated steatotic liver disease(MASLD).Insulin resistance,subclinical inflammation,dyslipidemia,obesity,and hypertension are all factors in this reciprocal interaction that contribute to the development of MASLD,which includes hepatocellular carci-noma,advanced fibrosis/cirrhosis,and non-alcoholic steatohepatitis(NASH).A new risk factor for MASLD/NASH that affects the course of the disease independently throughout life is gestational diabetes mellitus(GDM).Women with a history of GDM had a higher chance of developing NASH,according to a recent study that used a large-scale database.Although the precise etiology is yet unknown,temporary disruption of pancreatic beta cell activity during pregnancy may set off systemic inflammation,affecting distant organs including the liver.Early screening and management strategies are crucial in mitigating MASLD progression and preventing adverse cardiovascular events in affected individuals.

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.

Comparative effects of insulin pump and injection on gestational diabetes mellitus pregnancy outcomes and serum biomarkers

BACKGROUND Insulin injection is the basic daily drug treatment for diabetic patients.AIM To evaluate the comparative impacts of continuous subcutaneous insulin infusion(CSII).METHODS Based on the treatment modality received,the patients were allocated into two cohorts:The CSII group and the multiple daily injections(MDI)group,with each cohort comprising 210 patients.Comparative assessments were made regarding serum levels of serum-secreted frizzled-related protein 5,homocysteine,and C1q/TNF-related protein 9.Furthermore,outcomes such as fasting plasma glucose,2-hour postprandial glucose levels,pain assessment scores,and the incidence of complications were evaluated post-treatment.RESULTS The CSII group displayed notably lower fasting plasma glucose and 2-h postprandial glucose levels in comparison to the MDI group(P<0.05).Subsequent analysis post-treatment unveiled a significantly higher percentage of patients reporting no pain in the CSII group(60.00%)in contrast to the MDI group(36.19%)(P<0.05).Additionally,the CSII group exhibited a markedly reduced occurrence of fetal distress and premature rupture of membranes compared to the MDI group(P<0.05).However,there were no significant variances observed in other pregnancy outcomes between the two groups(P>0.05).A statistical analysis revealed a significant difference in the incidence of complications between the groups(χ^(2)=11.631,P=0.001).CONCLUSION The utilization of CSII via an insulin pump,as opposed to MDI,can significantly enhance the management of insulin administration in patients with GDM by diversifying the sites of insulin delivery.This approach not only promotes optimal glycemic control but also regulates metabolic factors linked to blood sugar,reducing the likelihood of adverse pregnancy outcomes and complications.The clinical relevance and importance of CSII in GDM management highlight its wide-ranging clinical usefulness.

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.

Future clinical prospects of C-peptide testing in the early diagnosis of gestational diabetes

Gestational diabetes is typically diagnosed in the late second or third trimester of pregnancy.It is one of the most common metabolic disorders among expectant mothers,with potential serious short-and long-term complications for both maternal and offspring health.C-peptide is secreted from pancreatic beta-cells into circulation in equimolar amounts with insulin.It is a useful biomarker to estimate the beta-cell function because it undergoes negligible hepatic clearance and consequently it has a longer half-life compared to insulin.Pregnancy induces increased insulin resistance due to physiological changes in hormonal and metabolic homeostasis.Inadequate compensation by islet beta-cells results in hyperglycemia.The standard oral glucose tolerance test at 24-28 wk of gestation sets the diagnosis.Accumulated evidence from prospective studies indicates a link between early pregnancy C-peptide levels and the risk of subsequent gestational diabetes.Elevated C-peptide levels and surrogate glycemic indices at the beginning of pregnancy could prompt appropriate strategies for secondary prevention.

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.