In 2021,approximately 537 million people suffered from diabetes mellitus(DM)globally,and this figure will increase to approximately 783 million within the next quarter-century.The increasing burden of DM is a pressing...In 2021,approximately 537 million people suffered from diabetes mellitus(DM)globally,and this figure will increase to approximately 783 million within the next quarter-century.The increasing burden of DM is a pressing global public health issue.Therefore,the early identification of high-risk groups and implementation of effective intervention measures is imperative.展开更多
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
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
OBJECTIVE:To explore the medication patterns and mechanisms of action of Shaofu Zhuyu decoction(少腹逐瘀汤,SFZYD)in inhibiting ferroptosis through the nuclear factor erythroid 2-related factor 2(Nrf2)/heme oxygenase 1...OBJECTIVE:To explore the medication patterns and mechanisms of action of Shaofu Zhuyu decoction(少腹逐瘀汤,SFZYD)in inhibiting ferroptosis through the nuclear factor erythroid 2-related factor 2(Nrf2)/heme oxygenase 1(HO-1)/glutathione peroxidase 4(GPX4)pathway to improve diabetes mellitus-induced erectile dysfunction(DMED).METHODS:Firstly,data mining was employed to identify the medication patterns of Traditional Chinese Medicine(TCM)in treating DMED.Secondly,network pharmacology combined with a ferroptosis database was used to predict the targets.Subsequently,cell counting kit-8,4',6-diamidino-2-phenylindole staining,reverse transcription-polymerase chain reaction(RT-PCR),and reagent kits were utilized to assess the repair effects of SFZYD on corpus cavernosum endothelial cells(CCECs)induced by high glucose(HG).Metabolic indicators,hematoxylin-eosin staining,and Masson staining were performed to observe the restorative effects of SFZYD on erectile function and penile tissue in diabetic rats.Finally,using Nrf2 inhibitors,the expression of related proteins and mRNAs was detected through Western blotting and RT-PCR.Reactive oxygen species levels and mitochondrial membrane potential were detected by flow cytometry.RESULTS:Data mining revealed that the prescription rules for blood stasis-type DMED coincide with the treatment principles of SFZYD.Network pharmacology identified 48 ferroptosis-related targets,primarily heme oxygenase 1(HMOX1)and GPX4.Kyoto Encyclopedia of Genes and Genomes enrichment analysis associated these targets with the ferroptosis pathway.SFZYD repaired HG-induced CCECs damage and restored HMOX1 and GPX4 mRNA levels.in vivo,SFZYD effectively alleviated erectile dysfunction and repaired blood sinuses and fibrosis in diabetic rats.Following Nrf2 inhibition,the expression of Nrf2,HMOX1,and GPX4 decreased,while SFZYD intervention reversed these effects,improving ferroptosis and oxidative stress indicators.CONCLUSION:This study explored the potential mechanisms and efficacy of the TCM prescription SFZYD in treating DMED through data mining,network pharmacology analysis,cellular experiments,and animal experiments.It verified its effectiveness in repairing HGinduced CCECs damage,improving the pathological state of penile tissue in diabetic rats,and restoring erectile function by regulating the Nrf2/HO-1/GPX4 signaling pathway.This provides new insights and scientific evidence for treating DMED with TCM.展开更多
Objective:To investigate the effects and potential mechanisms of action of Panax notoginseng(Burk)F.H.Chen(P.notoginseng,San Qi)flowers in type 2 diabetes mellitus(T2DM)using network pharmacology,in vivo experiments,a...Objective:To investigate the effects and potential mechanisms of action of Panax notoginseng(Burk)F.H.Chen(P.notoginseng,San Qi)flowers in type 2 diabetes mellitus(T2DM)using network pharmacology,in vivo experiments,and RNA sequencing(RNA-seq).Methods:Network pharmacology analysis was performed to identify and correlate the drug targets of flower buds of P.notoginseng(PNF)with T2DM disease targets and to predict the key targets and pathways involved in the therapeutic effects of PNF in T2DM.In vivo experiments were conducted to assess the effects of PNF on glucose and lipid metabolism in mice with T2DM.RNA-seq was performed,and the results were integrated with network pharmacology data to assess the therapeutic mechanisms of PNF in T2DM.The results from transcriptomics and network pharmacology were validated using real-time polymerase chain reaction.Results:A total of 27 intersecting targets were identified by overlapping 35 drug targets with T2DM targets.Further topological analysis using the Centiscape 2.2 tool revealed five core targets,including signal transducer and activator of transcription 3(STAT3).Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis indicated that the JAK/STAT signaling pathway is a key mechanism underlying the therapeutic effects of PNF in T2DM.In vivo experiments confirmed that PNF effectively regulates glycolipid metabolism in a mouse model of diabetes.KEGG pathway enrichment analysis of RNA-seq data highlighted the JAK2/STAT3 and PI3K/AKT pathway as a potential mechanism.PNF high-dose(PNFH)increased the gene expression levels of PIK3R1 and AKT2,decreased the expression of PCK1,JAK2,and STAT3,and showed a trend toward increasing INSR expression without reaching statistical significance.Conclusion:PNF improves glycolipid metabolism disorders in T2DM,potentially by modulating the JAK2/STAT3 and PI3K/AKT signaling pathway.展开更多
Glycated hemoglobin(HbA1c)remains the cornerstone biomarker for long-term glycemic control in diabetes mellitus,reflecting average plasma glucose over approximately three months.Beyond its diagnostic and monitoring ut...Glycated hemoglobin(HbA1c)remains the cornerstone biomarker for long-term glycemic control in diabetes mellitus,reflecting average plasma glucose over approximately three months.Beyond its diagnostic and monitoring utility,HbA1c has emerged as a robust predictor of cardiovascular disease,the leading cause of morbidity and mortality in individuals with diabetes.Epidemiological studies,including the United Kingdom Prospective Diabetes Study(UKPDS)and the Diabetes Control and Complications Trial,have consistently demonstrated a graded,near-linear relationship between HbA1c levels and macrovascular risk.However,the translation of glycemic control into cardiovascular benefit has proven complex.While early intensive glycemic control confers long-term cardiovascular protection,a phenomenon termed“metabolic memory”later trials such as ACCORD,ADVANCE,and VADT have highlighted the limitations and potential risks of aggressive HbA1c lowering,particularly in high-risk populations.Emerging evidence suggests that HbA1c variability,rather than mean levels alone,may independently contribute to cardiovascular outcomes through mechanisms involving oxidative stress,endothelial dysfunction,and inflammation.Furthermore,contemporary glucoselowering therapies,including sodium-glucose transporter 2 inhibitors and glucagon-like peptide-1 receptor agonists,reduce cardiovascular events largely independent of HbA1c reduction,challenging the primacy of HbA1c as a surrogate endpoint.This review critically appraises the evolving role of HbA1c in cardiovascular risk stratification,emphasizing the need for individualized glycemic targets and a broader,multifactorial approach to cardiovascular risk reduction in diabetes.展开更多
Diabetes mellitus(DM)has a significant negative impact on the global health.Its burden on the medical sector is tremendous as its complications affect all body organs across all age groups.The most dramatic complicati...Diabetes mellitus(DM)has a significant negative impact on the global health.Its burden on the medical sector is tremendous as its complications affect all body organs across all age groups.The most dramatic complications of DM include cardiovascular and neurological disorders.Microvascular damage can start years before the diagnosis of type 2 diabetes(T2DM)is made;therefore,early screening is of utmost value.Moreover,subclinical electrocardiographic(ECG)changes are common in patients with T2DM without evident cardiac disease.I have read with great interest the recent study published in World Journal of Cardiology by Karbovskaya et al,on the utility of a single-lead ECG for diagnosing DM,using machine learning and multinomial regression.The utility of single-lead ECG for predicting glycemic levels appears questionable.It should be interpreted with caution,particularly in light of the model’s limited explanatory power and elevated maximum error.A single-center,non-randomized study with a small sample size in the DM groups and misclassification bias are limitations of the study.A simple,easily accessible tool for early detection or prediction of cardiac dysfunction in DM or in people at risk is more valuable than merely distinguishing healthy from DM or type 1 diabetes from T2DM.A single-lead ECG,especially with artificial intelligence,can flag risk and help bridge some gaps in predicting event risk.However,this study needs validation with a precise aim to predict high-risk diabetics and not only to diagnose DM.展开更多
BACKGROUND Diabetes mellitus(DM)and the related sequalae remains one of the most frequently reported cause of morbidity and mortality in our era.This returns to the non-sufficient screening methods for DM at early sta...BACKGROUND Diabetes mellitus(DM)and the related sequalae remains one of the most frequently reported cause of morbidity and mortality in our era.This returns to the non-sufficient screening methods for DM at early stages.AIM To assess the diagnostic capabilities of the parameters of single lead electrocardiography(ECG)in the diagnosis of DM utilizing machine learning model.METHODS A single center study involved 629 participants with vs without DM.All the study participants passed transthoracic echocardiography,fasting blood glucose measurement,standard 12-lead ECG recording,and single lead ECG registration using the Cardio-Qvark®device.A gradient boosting machine model,specifically the XGBoost implementation,was developed using R v4.2 and Python v3.10.The model was trained and validated using a novel cluster-stratified approach-training on three phenotypic clusters and testing on the fourth-to isolate DM-specific ECG signatures from confounding cardiovascular disease.RESULTS The cluster-stratified analysis revealed that the model performed best in cluster 4(patients with high DM prevalence and significant comorbidities),achieving a sensitivity of 75%,specificity of 83%,and an area under the curve of 88%.CONCLUSION This study demonstrates that a phenotype-stratified approach is crucial for effective ECG-based DM screening.By identifying a specific clinical profile(cluster 4:High comorbidity burden with preserved cardiac function),we developed a model that accurately detects DM from a single-lead ECG.This phenotype-specific strategy overcomes the confounding effect of cardiovascular disease,moving beyond one-size-fits-all algorithms towards a precise and clinically viable tool for non-invasive DM detection in high-risk populations.展开更多
BACKGROUND Current advances in diagnostic and therapeutic strategies remain insufficient to reduce the prevalence and incidence rate of diabetes mellitus(DM).AIM To investigate any association between single-lead elec...BACKGROUND Current advances in diagnostic and therapeutic strategies remain insufficient to reduce the prevalence and incidence rate of diabetes mellitus(DM).AIM To investigate any association between single-lead electrocardiography(ECG)parameters and the diagnosis of DM.METHODS A single center study involved participants of Caucasian origin for the period between May 2,2022 and August 23,2025 with or without DM and aged≥18 years.All participants participating in the study passed the cardiologist's,random glucose measurement using a glucometer,single lead-ECG registration(using Cardio-Qvark®)and transthoracic echocardiography.Statistical analysis conducted using the R programming language(version 4.5).RESULTS The built logistic regression machine learning model demonstrated diagnostic performance in discriminating(area under the curve)type 1 DM 0.84(95%CI:0.76-0.91),type 2 DM 0.69(95%CI:0.61-0.76),and healthy control 0.82(95%CI:0.76-0.87).CONCLUSION The developed model demonstrates an association between single-lead ECG parameters and diabetes status that can support the clinical identification of individuals who would benefit from confirmatory testing.This is probably attributable to relatively stable and long-term physiological alterations associated with the state of the disease.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
Objective:To explore the application effect of combined exercise intervention based on the hospital-community-family model on intrinsic capacity in elderly patients with diabetes mellitus complicated by chronic kidney...Objective:To explore the application effect of combined exercise intervention based on the hospital-community-family model on intrinsic capacity in elderly patients with diabetes mellitus complicated by chronic kidney disease.Methods:Using convenience sampling,100 elderly patients with diabetes mellitus complicated by chronic kidney disease who received treatment in the endocrinology department of a tertiary A-level hospital from May 2024 to May 2025 were selected as the study subjects.They were randomly divided into an experimental group(50 cases)and a control group(50 cases)using a random number table method.The control group received routine health education and telephone follow-up,while the experimental group,in addition to the control group’s interventions,underwent combined exercise intervention based on the hospital-community-family model.Remote medical guidance was utilized to monitor and study the application effect of exercise intervention on intrinsic capacity in elderly patients with diabetes mellitus complicated by chronic kidney disease.Fasting blood glucose,2-hour postprandial blood glucose,glomerular filtration rate,6-minute walk distance,and scores in five dimensions of intrinsic capacity(exercise,cognition,psychology,vitality,and sensation)were measured before the intervention,at 4 weeks of intervention,and at 12 weeks of intervention for both groups.Results:Before the exercise intervention,there were no statistically significant differences(p>0.05)between the two groups in terms of fasting blood glucose,2-hour postprandial blood glucose,glomerular filtration rate,6-minute walk distance,and scores across five dimensions of intrinsic capacity:mobility,cognition,psychology,vitality,and sensation.After 12 weeks of intervention,the experimental group demonstrated significantly higher scores than the control group in glomerular filtration rate,6-minute walk distance,and the dimensions of mobility,cognition,and vitality within intrinsic capacity,with all differences being statistically significant(p<0.05).Conversely,the experimental group showed significantly lower scores than the control group in fasting blood glucose,2-hour postprandial blood glucose,and the psychological dimension of intrinsic capacity,with these differences also being statistically significant(p<0.05).Conclusion:Continuous nursing care utilizing telemedicine based on a hospital-community-family model combined with exercise intervention can effectively enhance exercise tolerance and intrinsic capacity in elderly patients with diabetes mellitus complicated by chronic kidney disease,thereby improving their quality of life.The effectiveness of the intervention is positively correlated with the duration of the intervention.展开更多
BACKGROUND The impact of lean type 2 diabetes mellitus(T2DM)on the prognosis of patients with primary biliary cholangitis(PBC)remains unclear.AIM To explore the adverse prognostic impact of lean T2DM on liver-related ...BACKGROUND The impact of lean type 2 diabetes mellitus(T2DM)on the prognosis of patients with primary biliary cholangitis(PBC)remains unclear.AIM To explore the adverse prognostic impact of lean T2DM on liver-related mortality risk in patients with PBC.METHODS This retrospective cohort study of 877 PBC patients stratified by T2DM status and lean phenotype used Cox regression models to analyze liver-related outcomes.Interaction effect models investigated T2DM and lean phenotype synergy.Propensity score matching(1:1)controlled for confounders between lean T2DM and non-T2DM non-lean groups,with sensitivity analyses validating results.RESULTS The median age of patients was 57 years(50-66),with 716(81.64%)being female,and median follow-up was 45 months(25-48),during which 234 deaths(26.68%)occurred.After fully adjusting for confounding factors,lean T2DM remained an independent mortality risk factor in PBC patients[hazard ratio(HR)=1.845,95%confidence interval:1.219-2.793,P=0.004].Interaction effect analysis confirmed a significant synergistic effect of T2DM and lean phenotype on mortality risk(interaction term HR=2.546,95%confidence interval:1.342-4.831,P=0.004).Stratified analysis further substantiated that T2DM significantly increased mortality risk only in lean patients(HR=2.331,P<0.001),while lean phenotype elevated risk only among T2DM patients(HR=2.165,P=0.0078).Propensity score matching validated this association(HR=1.63,P=0.008),with sensitivity analyses confirming the robustness of the conclusions.CONCLUSION Lean T2DM is an independent risk factor for liver-related adverse outcomes in PBC patients,and the coexistence of T2DM and lean phenotype exhibits a significant synergistic effect on mortality risk.展开更多
Objective:To explore the lived experiences and interpretive meanings of social capital and spiritual negotiation in dietary self-management among patients with type 2 diabetes mellitus(T2DM)within the merit-making cul...Objective:To explore the lived experiences and interpretive meanings of social capital and spiritual negotiation in dietary self-management among patients with type 2 diabetes mellitus(T2DM)within the merit-making culture of Lower Northern Thailand.Materials and Methods:This interpretive phenomenological study recruited 15 T2DM patients active in Buddhist merit-making traditions in Phitsanulok Province via purposive sampling.Data were collected between December 2024 and February 2025 through in-depth interviews and participant observations.Analysis followed Van Manen's approach,integrated with the social structural factors of Leininger's Culture Care Theory(Sunrise Enabler Model)to ensure a holistic transcultural perspective.Results:Three core themes emerged:(1)food as social capital and the reciprocal obligation of"Nam Jai":patients prioritize"relational equilibrium"over clinical glycemic targets to maintain community identity;(2)spiritual negotiation—merit over clinical outcomes:the consumption of"sacred"temple leftovers(Khao Kon Bat)is resignified as spiritual medicine(Ya Jai),where the pursuit of merit(accumulating Barami)outweighs physiological data;and(3)dynamics of cultural care negotiation:patients act as proactive negotiators using strategies of cultural portioning community-based recipe restructuring,and postevent compensatory behaviors to harmonize medical regimens with cultural imperatives.Conclusion:Dietary self-management is a complex cultural phenomenon where food intersects medical science,social capital,and spiritual faith.Sustainable management requires a paradigm shift from authoritative clinical instruction to"Cultural Health Negotiation,"facilitating care that is congruent with the patient's authentic life world.展开更多
Sudden sensorineural hearing loss(SSNHL)is an otologic emergency that necessitates prompt intervention;however,its pathogenesis remains elusive in most cases.Diabetes mellitus,a prevalent systemic metabolic disorder,h...Sudden sensorineural hearing loss(SSNHL)is an otologic emergency that necessitates prompt intervention;however,its pathogenesis remains elusive in most cases.Diabetes mellitus,a prevalent systemic metabolic disorder,has been increasingly implicated in the onset and unfavorable prognosis of SSNHL.Although epidemiological studies have consistently reported this association,the biological plausibility and causal direction of this relationship remain poorly understood and require further investigation.This review demonstrated that dysglycemia contributes to hearing impairment.The underlying mechanisms include vascular injury,auditory neuropathy,microcirculatory dysfunction,chronic inflammation driven by oxidative stress,and the accumulation of advanced glycation end products.Microcirculatory dysfunction may act as a critical nexus that integrates these diverse pathological pathways,ultimately leading to hearing loss.The potential role of prediabetes as an early driver of auditory damage,however,remains to be fully elucidated.Current management of SSNHL involves the use of glucocorticoids,vasodilators,neurotrophic agents,and adjunctive therapies,such as hyperglycemic control and hyperbaric oxygenation.Strengthening basic and translational research is essential to bridge mechanistic insights with clinical practice to develop precise therapeutic strategies to improve outcomes for patients with diabetes mellitus or prediabetes who present with SSNHL.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
BACKGROUND Diabetic gastrointestinal autonomic neuropathy(DGAN)is a common yet underrecognized manifestation of diabetic neuropathy.However,the clinical correlations and associated alterations of serum bile acid(BA)me...BACKGROUND Diabetic gastrointestinal autonomic neuropathy(DGAN)is a common yet underrecognized manifestation of diabetic neuropathy.However,the clinical correlations and associated alterations of serum bile acid(BA)metabolism with DGAN remain unclear.AIM To identify potential metabolite biomarkers capable of identifying DGAN among patients with type 2 diabetes mellitus(T2DM).METHODS This cross-sectional study included 26 patients with clinically defined DGAN and 69 patients with uncomplicated T2DM.Fifteen individual BAs were quantified in fasting serum using liquid chromatography-tandem mass spectrometry.Gastrointestinal symptoms were scored using the Gastrointestinal Symptom Rating Scale.Spearman’s correlation,multivariable logistic regression,receiver operating characteristic,and decision curve analyses were used to explore the associations and build a predictive nomogram.RESULTS Orthogonal partial least squares discriminant analysis of serum BAs revealed clear separation between the T2DM and DGAN groups,identifying taurolithocholic acid(TLCA)as the key discriminator(variable importance in projection>1,fold change<0.5).Univariate logistic regression identified age,body mass index,hemoglobin,fasting/2-h C-peptide,albumin,and TLCA levels as protective factors and the urinary albumin-to-creatinine ratio as a risk factor.After multivariate adjustment age,fasting C-peptide levels,and TLCA levels remained independently associated with DGAN.Receiver operating characteristic analysis yielded areas under the curve of 0.651,0.760,and 0.678 for age,fasting C-peptide,and TLCA,respectively,and the three variables collectively had an area under the curve of 0.970(95%confidence interval:0.937-1.000).Decision curve analysis confirmed the clinical net benefit across threshold probabilities of 9%-68%.The derived nomogram displayed excellent calibration and net clinical benefits for the model.CONCLUSION These findings highlighted the association between altered BA profiles and DGAN in patients with T2DM.Combining BA profiling with conventional clinical data could facilitate the early identification of DGAN and offer new insights into early screening and BA-targeted interventions.While these findings offer valuable insights,they should nevertheless be viewed as hypothesis-generating and require further validation in larger,multicenter cohorts.展开更多
Type 2 diabetes mellitus(T2DM)is a chronic metabolic disorder characterized by hyperglycemia,oxidative stress,and inflammation.Synthetic phenolic antioxidants(SPAs),primarily butylated hydroxyanisole,butylated hydroxy...Type 2 diabetes mellitus(T2DM)is a chronic metabolic disorder characterized by hyperglycemia,oxidative stress,and inflammation.Synthetic phenolic antioxidants(SPAs),primarily butylated hydroxyanisole,butylated hydroxytoluene,and tert-butylhydroquinone,have been widely detected in various environmental and consumer product matrices.Although they possess free radical scavenging ability,SPAs have dual effects on T2DM under different conditions.This review aims to outline the current research landscape in this field.We systematically analyze the literature and specifically note that the current understanding of the association between SPAs and T2DM is predominantly based on hypotheses from animal and cellular experiments,whereas direct human research data remain extremely scarce.This article elaborates on the paradoxical roles of SPAs,potentially increasing disease risk while alleviating complications,and analyzes the underlying regulatory mechanism centered on the balance of the nuclear factor erythroid 2-related factor 2uclear factor kappa-light-chain-enhancer of activated B cells pathway.Finally,we emphasize the urgent need for future welldesigned,large-scale human studies to fill this critical evidence gap and clarify the precise role of SPAs in T2DM.展开更多
Keratorefractive surgery is typically performed to correct refractive errors,resulting in good postoperative outcomes.Certain conditions,such as autoimmune diseases,metabolic diseases like diabetes mellitus(DM),and th...Keratorefractive surgery is typically performed to correct refractive errors,resulting in good postoperative outcomes.Certain conditions,such as autoimmune diseases,metabolic diseases like diabetes mellitus(DM),and the use of some drugs,may be absolutely or relatively contraindicated for refractive surgery.DM is a multisystemic disorder affecting various organs and can result in retinopathy,nephropathy,and neuropathy.Persistent hyperglycemia leads to various pathophysiological changes that can alter the biomechanical profile and the wound healing process of the cornea.Proper patient counselling,optimizing blood glucose levels,and frequent follow-up visits to monitor and manage potential complications,such as dry eye,non-healing epithelial defects,and neurotrophic keratitis,are essential for refractive surgeons.Laser-assisted in situ keratomileusis is preferred over photorefractive keratectomy due to its faster healing process.Cataract surgery in people with diabetes warrants various preoperative,intraoperative,and postoperative considerations for the best visual outcomes.This review focuses on the current evidence pertaining to various structural and functional corneal changes occurring in diabetics and their impact on keratorefractive procedures,thus providing a unified,clinically oriented framework to guide refractive surgeons in risk stratification,procedure selection,and postoperative management in patients with DM.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
The management of diabetes mellitus in Indonesia consists of five basic components,one of which is physical exercise.Yoga is a holistic approach to physical exercise that can be integrated into nursing practice for th...The management of diabetes mellitus in Indonesia consists of five basic components,one of which is physical exercise.Yoga is a holistic approach to physical exercise that can be integrated into nursing practice for the benefit of the body,mind,and physiological regulation of the body.Yoga practice has not been widely implemented in patients with diabetes worldwide.This study aimed to explore the effects of yoga on physical and psychological aspects.A literature search was conducted through Scopus,Elsevier,PubMed,and EBSCO databases using the keywords“Yoga,”“Yoga practice,”and“type 2 diabetes mellitus”using the Boolean operators OR and AND.Eligible studies discussing yoga practice for patients with diabetes mellitus,quantitative primary research,articles in English,and published between 2015 and 2025 were analyzed using the PRISMA and the Joanna Briggs Institute critical appraisal.The extracted articles were then synthesized into a table based on population,sample,country,design,respondent age,and yoga protocol to identify similarities and differences in findings.The search identified eight eligible articles:six randomized controlled trials and two quasi-experimental articles,resulting in a sample of 5088 respondents aged 18-70 years.Yoga interventions varied from 35 to 60 min for 1 week to 12 weeks.Yoga asana pranayama protocols were commonly used.Most studies reported significant results in the intervention group in reducing stress,mindfulness,quality of life,and controlled glycemia in patients with type 2 diabetes mellitus.Yoga was the benefits of reducing stress,increasing quality of life,lowering random blood glucose,and postprandial and glycated hemoglobin.展开更多
基金supported by the Research Funds of the Center for Big Data and Population Health of IHM(grant number JKS2022015)the Key Scientific Research Fund of the Anhui Provincial Education Department(grant number2023AH050610)the Anhui Natural Science Foundation(grant number 1808085QH252)。
摘要In 2021,approximately 537 million people suffered from diabetes mellitus(DM)globally,and this figure will increase to approximately 783 million within the next quarter-century.The increasing burden of DM is a pressing global public health issue.Therefore,the early identification of high-risk groups and implementation of effective intervention measures is imperative.
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 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National Natural Science Foundation of China(Mechanism of Ginsenoside Rk1 in Treating Ulcerative Colitis by Regulating Macrophage Polarization Based on Epidermal Growth Factor Receptor Phosphorylation,No.82374128)Department of Science and Technology of Jilin Province(Research on the Mechanism of Endogenous Stem Cells in Mechanical Force Therapy for Neurogenic Erectile Dysfunction,No.ydzj202301zyts138)+1 种基金Projects in Health Commission of Jilin Province(Research on the Mechanism of Low-intensity Pulsed Ultrasound in the Treatment of Late-onset Hypogonadism via the Wnt Family Member 5a/betaCatenin Axis,No.2022jc043Research on the Mechanism of Microencapsulated Adipose-Derived Stem Cells in the Treatment of Neurogenic Erectile Dysfunction,No.2022jc048)。
摘要OBJECTIVE:To explore the medication patterns and mechanisms of action of Shaofu Zhuyu decoction(少腹逐瘀汤,SFZYD)in inhibiting ferroptosis through the nuclear factor erythroid 2-related factor 2(Nrf2)/heme oxygenase 1(HO-1)/glutathione peroxidase 4(GPX4)pathway to improve diabetes mellitus-induced erectile dysfunction(DMED).METHODS:Firstly,data mining was employed to identify the medication patterns of Traditional Chinese Medicine(TCM)in treating DMED.Secondly,network pharmacology combined with a ferroptosis database was used to predict the targets.Subsequently,cell counting kit-8,4',6-diamidino-2-phenylindole staining,reverse transcription-polymerase chain reaction(RT-PCR),and reagent kits were utilized to assess the repair effects of SFZYD on corpus cavernosum endothelial cells(CCECs)induced by high glucose(HG).Metabolic indicators,hematoxylin-eosin staining,and Masson staining were performed to observe the restorative effects of SFZYD on erectile function and penile tissue in diabetic rats.Finally,using Nrf2 inhibitors,the expression of related proteins and mRNAs was detected through Western blotting and RT-PCR.Reactive oxygen species levels and mitochondrial membrane potential were detected by flow cytometry.RESULTS:Data mining revealed that the prescription rules for blood stasis-type DMED coincide with the treatment principles of SFZYD.Network pharmacology identified 48 ferroptosis-related targets,primarily heme oxygenase 1(HMOX1)and GPX4.Kyoto Encyclopedia of Genes and Genomes enrichment analysis associated these targets with the ferroptosis pathway.SFZYD repaired HG-induced CCECs damage and restored HMOX1 and GPX4 mRNA levels.in vivo,SFZYD effectively alleviated erectile dysfunction and repaired blood sinuses and fibrosis in diabetic rats.Following Nrf2 inhibition,the expression of Nrf2,HMOX1,and GPX4 decreased,while SFZYD intervention reversed these effects,improving ferroptosis and oxidative stress indicators.CONCLUSION:This study explored the potential mechanisms and efficacy of the TCM prescription SFZYD in treating DMED through data mining,network pharmacology analysis,cellular experiments,and animal experiments.It verified its effectiveness in repairing HGinduced CCECs damage,improving the pathological state of penile tissue in diabetic rats,and restoring erectile function by regulating the Nrf2/HO-1/GPX4 signaling pathway.This provides new insights and scientific evidence for treating DMED with TCM.
基金supported by the Creation and Talent Introduction Base of Prevention and Treatment of Diabetes and Its Complications withTraditional Chinese Medicine(B20055).
摘要Objective:To investigate the effects and potential mechanisms of action of Panax notoginseng(Burk)F.H.Chen(P.notoginseng,San Qi)flowers in type 2 diabetes mellitus(T2DM)using network pharmacology,in vivo experiments,and RNA sequencing(RNA-seq).Methods:Network pharmacology analysis was performed to identify and correlate the drug targets of flower buds of P.notoginseng(PNF)with T2DM disease targets and to predict the key targets and pathways involved in the therapeutic effects of PNF in T2DM.In vivo experiments were conducted to assess the effects of PNF on glucose and lipid metabolism in mice with T2DM.RNA-seq was performed,and the results were integrated with network pharmacology data to assess the therapeutic mechanisms of PNF in T2DM.The results from transcriptomics and network pharmacology were validated using real-time polymerase chain reaction.Results:A total of 27 intersecting targets were identified by overlapping 35 drug targets with T2DM targets.Further topological analysis using the Centiscape 2.2 tool revealed five core targets,including signal transducer and activator of transcription 3(STAT3).Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis indicated that the JAK/STAT signaling pathway is a key mechanism underlying the therapeutic effects of PNF in T2DM.In vivo experiments confirmed that PNF effectively regulates glycolipid metabolism in a mouse model of diabetes.KEGG pathway enrichment analysis of RNA-seq data highlighted the JAK2/STAT3 and PI3K/AKT pathway as a potential mechanism.PNF high-dose(PNFH)increased the gene expression levels of PIK3R1 and AKT2,decreased the expression of PCK1,JAK2,and STAT3,and showed a trend toward increasing INSR expression without reaching statistical significance.Conclusion:PNF improves glycolipid metabolism disorders in T2DM,potentially by modulating the JAK2/STAT3 and PI3K/AKT signaling pathway.
摘要Glycated hemoglobin(HbA1c)remains the cornerstone biomarker for long-term glycemic control in diabetes mellitus,reflecting average plasma glucose over approximately three months.Beyond its diagnostic and monitoring utility,HbA1c has emerged as a robust predictor of cardiovascular disease,the leading cause of morbidity and mortality in individuals with diabetes.Epidemiological studies,including the United Kingdom Prospective Diabetes Study(UKPDS)and the Diabetes Control and Complications Trial,have consistently demonstrated a graded,near-linear relationship between HbA1c levels and macrovascular risk.However,the translation of glycemic control into cardiovascular benefit has proven complex.While early intensive glycemic control confers long-term cardiovascular protection,a phenomenon termed“metabolic memory”later trials such as ACCORD,ADVANCE,and VADT have highlighted the limitations and potential risks of aggressive HbA1c lowering,particularly in high-risk populations.Emerging evidence suggests that HbA1c variability,rather than mean levels alone,may independently contribute to cardiovascular outcomes through mechanisms involving oxidative stress,endothelial dysfunction,and inflammation.Furthermore,contemporary glucoselowering therapies,including sodium-glucose transporter 2 inhibitors and glucagon-like peptide-1 receptor agonists,reduce cardiovascular events largely independent of HbA1c reduction,challenging the primacy of HbA1c as a surrogate endpoint.This review critically appraises the evolving role of HbA1c in cardiovascular risk stratification,emphasizing the need for individualized glycemic targets and a broader,multifactorial approach to cardiovascular risk reduction in diabetes.
摘要Diabetes mellitus(DM)has a significant negative impact on the global health.Its burden on the medical sector is tremendous as its complications affect all body organs across all age groups.The most dramatic complications of DM include cardiovascular and neurological disorders.Microvascular damage can start years before the diagnosis of type 2 diabetes(T2DM)is made;therefore,early screening is of utmost value.Moreover,subclinical electrocardiographic(ECG)changes are common in patients with T2DM without evident cardiac disease.I have read with great interest the recent study published in World Journal of Cardiology by Karbovskaya et al,on the utility of a single-lead ECG for diagnosing DM,using machine learning and multinomial regression.The utility of single-lead ECG for predicting glycemic levels appears questionable.It should be interpreted with caution,particularly in light of the model’s limited explanatory power and elevated maximum error.A single-center,non-randomized study with a small sample size in the DM groups and misclassification bias are limitations of the study.A simple,easily accessible tool for early detection or prediction of cardiac dysfunction in DM or in people at risk is more valuable than merely distinguishing healthy from DM or type 1 diabetes from T2DM.A single-lead ECG,especially with artificial intelligence,can flag risk and help bridge some gaps in predicting event risk.However,this study needs validation with a precise aim to predict high-risk diabetics and not only to diagnose DM.
摘要BACKGROUND Diabetes mellitus(DM)and the related sequalae remains one of the most frequently reported cause of morbidity and mortality in our era.This returns to the non-sufficient screening methods for DM at early stages.AIM To assess the diagnostic capabilities of the parameters of single lead electrocardiography(ECG)in the diagnosis of DM utilizing machine learning model.METHODS A single center study involved 629 participants with vs without DM.All the study participants passed transthoracic echocardiography,fasting blood glucose measurement,standard 12-lead ECG recording,and single lead ECG registration using the Cardio-Qvark®device.A gradient boosting machine model,specifically the XGBoost implementation,was developed using R v4.2 and Python v3.10.The model was trained and validated using a novel cluster-stratified approach-training on three phenotypic clusters and testing on the fourth-to isolate DM-specific ECG signatures from confounding cardiovascular disease.RESULTS The cluster-stratified analysis revealed that the model performed best in cluster 4(patients with high DM prevalence and significant comorbidities),achieving a sensitivity of 75%,specificity of 83%,and an area under the curve of 88%.CONCLUSION This study demonstrates that a phenotype-stratified approach is crucial for effective ECG-based DM screening.By identifying a specific clinical profile(cluster 4:High comorbidity burden with preserved cardiac function),we developed a model that accurately detects DM from a single-lead ECG.This phenotype-specific strategy overcomes the confounding effect of cardiovascular disease,moving beyond one-size-fits-all algorithms towards a precise and clinically viable tool for non-invasive DM detection in high-risk populations.
摘要BACKGROUND Current advances in diagnostic and therapeutic strategies remain insufficient to reduce the prevalence and incidence rate of diabetes mellitus(DM).AIM To investigate any association between single-lead electrocardiography(ECG)parameters and the diagnosis of DM.METHODS A single center study involved participants of Caucasian origin for the period between May 2,2022 and August 23,2025 with or without DM and aged≥18 years.All participants participating in the study passed the cardiologist's,random glucose measurement using a glucometer,single lead-ECG registration(using Cardio-Qvark®)and transthoracic echocardiography.Statistical analysis conducted using the R programming language(version 4.5).RESULTS The built logistic regression machine learning model demonstrated diagnostic performance in discriminating(area under the curve)type 1 DM 0.84(95%CI:0.76-0.91),type 2 DM 0.69(95%CI:0.61-0.76),and healthy control 0.82(95%CI:0.76-0.87).CONCLUSION The developed model demonstrates an association between single-lead ECG parameters and diabetes status that can support the clinical identification of individuals who would benefit from confirmatory testing.This is probably attributable to relatively stable and long-term physiological alterations associated with the state of the disease.
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.
基金2024 Medical Science Research Project Plan of Hebei Province:Research on the Rehabilitation Effect of Combined Exercise Intervention Based on a Hospital-Community-Family Model for Elderly Patients with Chronic Diseases(Project No.:20240083)Youth Science and Technology Project of the Hebei Provincial Health Department:Research on the Standardization Level of Self-Management in Patients with Diabetic Foot and Related Factors Affecting Wound Healing(Project No.:20190002)。
摘要Objective:To explore the application effect of combined exercise intervention based on the hospital-community-family model on intrinsic capacity in elderly patients with diabetes mellitus complicated by chronic kidney disease.Methods:Using convenience sampling,100 elderly patients with diabetes mellitus complicated by chronic kidney disease who received treatment in the endocrinology department of a tertiary A-level hospital from May 2024 to May 2025 were selected as the study subjects.They were randomly divided into an experimental group(50 cases)and a control group(50 cases)using a random number table method.The control group received routine health education and telephone follow-up,while the experimental group,in addition to the control group’s interventions,underwent combined exercise intervention based on the hospital-community-family model.Remote medical guidance was utilized to monitor and study the application effect of exercise intervention on intrinsic capacity in elderly patients with diabetes mellitus complicated by chronic kidney disease.Fasting blood glucose,2-hour postprandial blood glucose,glomerular filtration rate,6-minute walk distance,and scores in five dimensions of intrinsic capacity(exercise,cognition,psychology,vitality,and sensation)were measured before the intervention,at 4 weeks of intervention,and at 12 weeks of intervention for both groups.Results:Before the exercise intervention,there were no statistically significant differences(p>0.05)between the two groups in terms of fasting blood glucose,2-hour postprandial blood glucose,glomerular filtration rate,6-minute walk distance,and scores across five dimensions of intrinsic capacity:mobility,cognition,psychology,vitality,and sensation.After 12 weeks of intervention,the experimental group demonstrated significantly higher scores than the control group in glomerular filtration rate,6-minute walk distance,and the dimensions of mobility,cognition,and vitality within intrinsic capacity,with all differences being statistically significant(p<0.05).Conversely,the experimental group showed significantly lower scores than the control group in fasting blood glucose,2-hour postprandial blood glucose,and the psychological dimension of intrinsic capacity,with these differences also being statistically significant(p<0.05).Conclusion:Continuous nursing care utilizing telemedicine based on a hospital-community-family model combined with exercise intervention can effectively enhance exercise tolerance and intrinsic capacity in elderly patients with diabetes mellitus complicated by chronic kidney disease,thereby improving their quality of life.The effectiveness of the intervention is positively correlated with the duration of the intervention.
基金Supported by National Natural Science Foundation of China,No.82160106Yunnan Provincial Department of Education Scientific Research Fund Project,No.2025J0270Yunnan Provincial Science and Technology Department Science and Technology Program Project,No.202501AY070001-088。
摘要BACKGROUND The impact of lean type 2 diabetes mellitus(T2DM)on the prognosis of patients with primary biliary cholangitis(PBC)remains unclear.AIM To explore the adverse prognostic impact of lean T2DM on liver-related mortality risk in patients with PBC.METHODS This retrospective cohort study of 877 PBC patients stratified by T2DM status and lean phenotype used Cox regression models to analyze liver-related outcomes.Interaction effect models investigated T2DM and lean phenotype synergy.Propensity score matching(1:1)controlled for confounders between lean T2DM and non-T2DM non-lean groups,with sensitivity analyses validating results.RESULTS The median age of patients was 57 years(50-66),with 716(81.64%)being female,and median follow-up was 45 months(25-48),during which 234 deaths(26.68%)occurred.After fully adjusting for confounding factors,lean T2DM remained an independent mortality risk factor in PBC patients[hazard ratio(HR)=1.845,95%confidence interval:1.219-2.793,P=0.004].Interaction effect analysis confirmed a significant synergistic effect of T2DM and lean phenotype on mortality risk(interaction term HR=2.546,95%confidence interval:1.342-4.831,P=0.004).Stratified analysis further substantiated that T2DM significantly increased mortality risk only in lean patients(HR=2.331,P<0.001),while lean phenotype elevated risk only among T2DM patients(HR=2.165,P=0.0078).Propensity score matching validated this association(HR=1.63,P=0.008),with sensitivity analyses confirming the robustness of the conclusions.CONCLUSION Lean T2DM is an independent risk factor for liver-related adverse outcomes in PBC patients,and the coexistence of T2DM and lean phenotype exhibits a significant synergistic effect on mortality risk.
基金supported by the Faculty of Nursing,Naresuan University,Thailand.
摘要Objective:To explore the lived experiences and interpretive meanings of social capital and spiritual negotiation in dietary self-management among patients with type 2 diabetes mellitus(T2DM)within the merit-making culture of Lower Northern Thailand.Materials and Methods:This interpretive phenomenological study recruited 15 T2DM patients active in Buddhist merit-making traditions in Phitsanulok Province via purposive sampling.Data were collected between December 2024 and February 2025 through in-depth interviews and participant observations.Analysis followed Van Manen's approach,integrated with the social structural factors of Leininger's Culture Care Theory(Sunrise Enabler Model)to ensure a holistic transcultural perspective.Results:Three core themes emerged:(1)food as social capital and the reciprocal obligation of"Nam Jai":patients prioritize"relational equilibrium"over clinical glycemic targets to maintain community identity;(2)spiritual negotiation—merit over clinical outcomes:the consumption of"sacred"temple leftovers(Khao Kon Bat)is resignified as spiritual medicine(Ya Jai),where the pursuit of merit(accumulating Barami)outweighs physiological data;and(3)dynamics of cultural care negotiation:patients act as proactive negotiators using strategies of cultural portioning community-based recipe restructuring,and postevent compensatory behaviors to harmonize medical regimens with cultural imperatives.Conclusion:Dietary self-management is a complex cultural phenomenon where food intersects medical science,social capital,and spiritual faith.Sustainable management requires a paradigm shift from authoritative clinical instruction to"Cultural Health Negotiation,"facilitating care that is congruent with the patient's authentic life world.
基金Supported by the National Natural Science Foundation of China,No.82471183 and No.82260224Jiangxi Natural Science Foundation Project,No.20242BAB25491.
摘要Sudden sensorineural hearing loss(SSNHL)is an otologic emergency that necessitates prompt intervention;however,its pathogenesis remains elusive in most cases.Diabetes mellitus,a prevalent systemic metabolic disorder,has been increasingly implicated in the onset and unfavorable prognosis of SSNHL.Although epidemiological studies have consistently reported this association,the biological plausibility and causal direction of this relationship remain poorly understood and require further investigation.This review demonstrated that dysglycemia contributes to hearing impairment.The underlying mechanisms include vascular injury,auditory neuropathy,microcirculatory dysfunction,chronic inflammation driven by oxidative stress,and the accumulation of advanced glycation end products.Microcirculatory dysfunction may act as a critical nexus that integrates these diverse pathological pathways,ultimately leading to hearing loss.The potential role of prediabetes as an early driver of auditory damage,however,remains to be fully elucidated.Current management of SSNHL involves the use of glucocorticoids,vasodilators,neurotrophic agents,and adjunctive therapies,such as hyperglycemic control and hyperbaric oxygenation.Strengthening basic and translational research is essential to bridge mechanistic insights with clinical practice to develop precise therapeutic strategies to improve outcomes for patients with diabetes mellitus or prediabetes who present with SSNHL.
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.
基金Supported by Scientific Research Projects of Jiangsu Provincial Health and Health Commission,No.ZDB2020034 and No.M2021056.
摘要BACKGROUND Diabetic gastrointestinal autonomic neuropathy(DGAN)is a common yet underrecognized manifestation of diabetic neuropathy.However,the clinical correlations and associated alterations of serum bile acid(BA)metabolism with DGAN remain unclear.AIM To identify potential metabolite biomarkers capable of identifying DGAN among patients with type 2 diabetes mellitus(T2DM).METHODS This cross-sectional study included 26 patients with clinically defined DGAN and 69 patients with uncomplicated T2DM.Fifteen individual BAs were quantified in fasting serum using liquid chromatography-tandem mass spectrometry.Gastrointestinal symptoms were scored using the Gastrointestinal Symptom Rating Scale.Spearman’s correlation,multivariable logistic regression,receiver operating characteristic,and decision curve analyses were used to explore the associations and build a predictive nomogram.RESULTS Orthogonal partial least squares discriminant analysis of serum BAs revealed clear separation between the T2DM and DGAN groups,identifying taurolithocholic acid(TLCA)as the key discriminator(variable importance in projection>1,fold change<0.5).Univariate logistic regression identified age,body mass index,hemoglobin,fasting/2-h C-peptide,albumin,and TLCA levels as protective factors and the urinary albumin-to-creatinine ratio as a risk factor.After multivariate adjustment age,fasting C-peptide levels,and TLCA levels remained independently associated with DGAN.Receiver operating characteristic analysis yielded areas under the curve of 0.651,0.760,and 0.678 for age,fasting C-peptide,and TLCA,respectively,and the three variables collectively had an area under the curve of 0.970(95%confidence interval:0.937-1.000).Decision curve analysis confirmed the clinical net benefit across threshold probabilities of 9%-68%.The derived nomogram displayed excellent calibration and net clinical benefits for the model.CONCLUSION These findings highlighted the association between altered BA profiles and DGAN in patients with T2DM.Combining BA profiling with conventional clinical data could facilitate the early identification of DGAN and offer new insights into early screening and BA-targeted interventions.While these findings offer valuable insights,they should nevertheless be viewed as hypothesis-generating and require further validation in larger,multicenter cohorts.
基金Supported by the National Natural Science Foundation of China,No.21806146the Postdoctoral Science Foundation of China,No.2021M702934.
摘要Type 2 diabetes mellitus(T2DM)is a chronic metabolic disorder characterized by hyperglycemia,oxidative stress,and inflammation.Synthetic phenolic antioxidants(SPAs),primarily butylated hydroxyanisole,butylated hydroxytoluene,and tert-butylhydroquinone,have been widely detected in various environmental and consumer product matrices.Although they possess free radical scavenging ability,SPAs have dual effects on T2DM under different conditions.This review aims to outline the current research landscape in this field.We systematically analyze the literature and specifically note that the current understanding of the association between SPAs and T2DM is predominantly based on hypotheses from animal and cellular experiments,whereas direct human research data remain extremely scarce.This article elaborates on the paradoxical roles of SPAs,potentially increasing disease risk while alleviating complications,and analyzes the underlying regulatory mechanism centered on the balance of the nuclear factor erythroid 2-related factor 2uclear factor kappa-light-chain-enhancer of activated B cells pathway.Finally,we emphasize the urgent need for future welldesigned,large-scale human studies to fill this critical evidence gap and clarify the precise role of SPAs in T2DM.
摘要Keratorefractive surgery is typically performed to correct refractive errors,resulting in good postoperative outcomes.Certain conditions,such as autoimmune diseases,metabolic diseases like diabetes mellitus(DM),and the use of some drugs,may be absolutely or relatively contraindicated for refractive surgery.DM is a multisystemic disorder affecting various organs and can result in retinopathy,nephropathy,and neuropathy.Persistent hyperglycemia leads to various pathophysiological changes that can alter the biomechanical profile and the wound healing process of the cornea.Proper patient counselling,optimizing blood glucose levels,and frequent follow-up visits to monitor and manage potential complications,such as dry eye,non-healing epithelial defects,and neurotrophic keratitis,are essential for refractive surgeons.Laser-assisted in situ keratomileusis is preferred over photorefractive keratectomy due to its faster healing process.Cataract surgery in people with diabetes warrants various preoperative,intraoperative,and postoperative considerations for the best visual outcomes.This review focuses on the current evidence pertaining to various structural and functional corneal changes occurring in diabetics and their impact on keratorefractive procedures,thus providing a unified,clinically oriented framework to guide refractive surgeons in risk stratification,procedure selection,and postoperative management in patients with DM.
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.
摘要The management of diabetes mellitus in Indonesia consists of five basic components,one of which is physical exercise.Yoga is a holistic approach to physical exercise that can be integrated into nursing practice for the benefit of the body,mind,and physiological regulation of the body.Yoga practice has not been widely implemented in patients with diabetes worldwide.This study aimed to explore the effects of yoga on physical and psychological aspects.A literature search was conducted through Scopus,Elsevier,PubMed,and EBSCO databases using the keywords“Yoga,”“Yoga practice,”and“type 2 diabetes mellitus”using the Boolean operators OR and AND.Eligible studies discussing yoga practice for patients with diabetes mellitus,quantitative primary research,articles in English,and published between 2015 and 2025 were analyzed using the PRISMA and the Joanna Briggs Institute critical appraisal.The extracted articles were then synthesized into a table based on population,sample,country,design,respondent age,and yoga protocol to identify similarities and differences in findings.The search identified eight eligible articles:six randomized controlled trials and two quasi-experimental articles,resulting in a sample of 5088 respondents aged 18-70 years.Yoga interventions varied from 35 to 60 min for 1 week to 12 weeks.Yoga asana pranayama protocols were commonly used.Most studies reported significant results in the intervention group in reducing stress,mindfulness,quality of life,and controlled glycemia in patients with type 2 diabetes mellitus.Yoga was the benefits of reducing stress,increasing quality of life,lowering random blood glucose,and postprandial and glycated hemoglobin.