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.

Association of autoimmune thyroid disease with type 1 diabetes mellitus and its ultrasonic diagnosis and management

As a common hyperglycemic disease,type 1 diabetes mellitus(T1DM)is a complicated disorder that requires a lifelong insulin supply due to the immunemediated destruction of pancreaticβcells.Although it is an organ-specific autoimmune disorder,T1DM is often associated with multiple other autoimmune disorders.The most prevalent concomitant autoimmune disorder occurring in T1DM is autoimmune thyroid disease(AITD),which mainly exhibits two extremes of phenotypes:hyperthyroidism[Graves'disease(GD)]and hypothyroidism[Hashimoto's thyroiditis,(HT)].However,the presence of comorbid AITD may negatively affect metabolic management in T1DM patients and thereby may increase the risk for potential diabetes-related complications.Thus,routine screening of thyroid function has been recommended when T1DM is diagnosed.Here,first,we summarize current knowledge regarding the etiology and pathogenesis mechanisms of both diseases.Subsequently,an updated review of the association between T1DM and AITD is offered.Finally,we provide a relatively detailed review focusing on the application of thyroid ultrasonography in diagnosing and managing HT and GD,suggesting its critical role in the timely and accurate diagnosis of AITD in T1DM.

Natural product-based treatment potential for type 2 diabetes mellitus and cardiovascular disease

BACKGROUND Type 2 diabetes(T2D)is a metabolic disease of impaired glucose utilization and a major cause of cardiovascular disease(CVD).The pathogenesis of both diseases shares common risk factors and mechanisms,and both are significant contributors to global morbidity and mortality.Supplements of natural products for T2D mellitus(T2DM)and CVD can be seen as a potential preventive and effective therapeutic strategy.AIM To critically evaluate the therapeutic potential of natural products in T2D and coronary artery disease(CAD).METHODS By using specific keywords,we strategically searched the PubMed database.Randomized controlled trials(RCTs)were searched as the primary focus that examined the effect of natural products on glycemic control,oxidative stress,and antioxidant levels.We focused on outcomes such as low blood glucose levels,adjustment on markers of oxidative stress and antioxidants.After screening fulllength papers,we included 9 RCTs in our review that met our inclusion criteria.RESULTS In the literature search on the database,we found that various natural products like plant secondary metabolites play a diverse role in the management of CAD.American ginseng,sesame oil and cocoa flavanols proved effective in lowering blood glucose levels and controlling blood pressure,which are key factors in managing T2DM and CVD.In diabetic patients Melissa officinalis effectively reduce inflammation and shows diabetes prevention.Both fish oil and flaxseed oil reduced insulin levels and inflammatory markers,suggesting benefits for both conditions.The lipid profile and endothelial function were enhanced by Nigella sativa oil and Terminalia chebula,which is significant for the management of cardiovascular risk factors in T2DM.Additionally Bilberry extract also showed promise for improving glycemic control in patients with T2DM.CONCLUSION The high level of antioxidant,anti-inflammatory,and anti-angiogenic properties found in natural products makes them promising therapeutic options for the management of CAD,with the potential benefit of lowering the risk of CAD.

Glucokinase regulatory protein rs780094 polymorphism is associated with type 2 diabetes mellitus, dyslipidemia, non-alcoholic fatty liver disease, and nephropathy

In this editorial,we comment on the article by Liu et al published in the recent issue of the World Journal of Diabetes(Relationship between GCKR gene rs780094 polymorphism and type 2 diabetes with albuminuria).Type 2 diabetes mellitus(T2DM)is a chronic disorder characterized by dysregulated glucose homeostasis.The persistent elevated blood glucose level in T2DM significantly increases the risk of developing severe complications,including cardiovascular disease,re-tinopathy,neuropathy,and nephropathy.T2DM arises from a complex interplay between genetic,epigenetic,and environmental factors.Global genomic studies have identified numerous genetic variations associated with an increased risk of T2DM.Specifically,variations within the glucokinase regulatory protein(GCKR)gene have been linked to heightened susceptibility to T2DM and its associated complications.The clinical trial by Liu et al further elucidates the role of the GCKR rs780094 polymorphism in T2DM and nephropathy development.Their findings demonstrate that individuals carrying the CT or TT genotype at the GCKR rs780094 locus are at a higher risk of developing T2DM with albuminuria compared to those with the CC genotype.These findings highlight the importance of genetic testing and risk assessment in T2DM to develop effective preventive strategies and personalized treatment plans.

Correlation between non-alcoholic fatty liver disease and metabolic parameters in persons with newly diagnosed type 2 diabetes mellitus

BACKGROUND There are limited studies investigating the association between type 2 diabetes mellitus(T2DM)and non-alcoholic fatty liver disease(NAFLD)in the region of Bihar,India.AIM To estimate the prevalence of NAFLD in persons with newly diagnosed T2DM in the population of North Bihar,India.METHODS This single centre cross-sectional study was undertaken in the Research Centre for Diabetes Hypertension and Obesity,Samastipur,Bihar,India.Data were collected from persons newly diagnosed with T2DM or those diagnosed within 6 months of when the study was conducted between December 2022 to May 2023.RESULTS A total of 148 people with newly diagnosed T2DM were included(median age 47 years,46.6%female)and 109 patients with liver disease on ultrasound evaluation.The persons with liver disease consumed more fats and oils(88.1%vs 74.4%,P=0.042)and they had significantly greater body mass index(27.4 vs 23.0,P<0.001),waist circumference(37 vs 33,P<0.001),and waist-to-hip ratio(1.00 vs 0.70,P=0.025).Females were associated with greater liver disease[odds ratio(OR):3.09,95%confidence interval(CI):1.09-8.80,P=0.32].Waist circumference(OR:1.42,95%CI:1.22-1.66,P<0.001)and low-density lipoprotein cholesterol(OR:1.01,95%CI:1.01-1.02,P=0.048)were associated with any liver disease.The factors most associated with grade 2/3 liver disease was right upper quadrant pain or heaviness(OR:5.22,95%CI:1.40-19.41,P=0.14),greater income(OR:3.58,95%CI:1.28-10.04,P=0.015)and waist circumference(OR:1.31,95%CI:1.02-1.69,P=0.036).CONCLUSION NAFLD is common in new/recently diagnosed T2DM and disease burden is high and common among patients who are either high consumers of fats and oils or have obesity-associated markers.

Evaluation of left ventricular systolic function in type 2 diabetes mellitus patients with and without peripheral vascular disease

BACKGROUND Peripheral vascular disease(PVD)is a common complication of type 2 diabetes mellitus(T2DM).Patients with T2DM have twice the risk of PVD as nondiabetic patients.AIM To evaluate left ventricular(LV)systolic function by layer-specific global longitudinal strain(GLS)and peak strain dispersion(PSD)in T2DM patients with and without PVD.METHODS Sixty-five T2DM patients without PVD,57 T2DM patients with PVD and 63 normal controls were enrolled in the study.Layer-specific GLS[GLS of the epimyocardium(GLSepi),GLS of the middle myocardium(GLSmid)and GLS of the endocardium(GLSendo)]and PSD were calculated.Receiver operating characteristic(ROC)analysis was performed to calculate the sensitivity and specificity of LV systolic dysfunction in T2DM patients with PVD.We calculated Pearson’s correlation coefficients between biochemical data,echocardiographic characteristics,and layer-specific GLS and PSD.RESULTS There were significant differences in GLSepi,GLSmid and GLSendo between normal controls,T2DM patients without PVD and T2DM patients with PVD(P<0.001).Trend tests revealed a ranking of normal controls>T2DM patients without PVD>T2DM patients with PVD in the absolute value of GLS(P<0.001).PSD differed significantly between the three groups,and the trend ranking was as follows:normal controls<T2DM patients without PVD<T2DM patients with PVD(P<0.001).ROC analysis revealed that the combination of layer-specific GLS and PSD had high diagnostic efficiency for detecting LV systolic dysfunction in T2DM patients with PVD.Lowdensity lipoprotein cholesterol was positively correlated with GLSepi,GLSmid and PSD(P<0.05),while LV ejection fraction was negatively correlated with GLSepi,GLSmid and GLSendo in T2DM patients with PVD(P<0.01).CONCLUSION PVD may aggravate the deterioration of LV systolic dysfunction in T2DM patients.Layer-specific GLS and PSD can be used to detect LV systolic dysfunction accurately and conveniently in T2DM patients with or without PVD.

A Retrospective Analysis of Glucagon-Like Peptide 1 Receptor Agonists in Treating Type 2 Diabetes Mellitus Complicated by Nonalcoholic Fatty Liver Disease

Background: The objective of this study was to compare and analyze the variations in clinical indices before and after treatment of type 2 mellitus (T2DM) combined with nonalcoholic fatty liver disease (NAFLD) that were treated with glucagon-like peptide 1 receptor agonists (GLP-1RAs). Methods: The electronic medical record system was utilized to search for a total of 16 patients with type 2 diabetes complicated by NAFLD who were hospitalized at the First Affiliated Hospital of Yangtze University from October 2022 to April 2023 and treated with GLP-1RA for the first time. The clinical indices were compared before and after 12 weeks of treatment with GLP-1RA. Results: The liver-spleen CT ratio (L/S), alanine aminotransferase (ALT), gamma-glutamyltransferase (GGT), total cholesterol (TC), triglyceride (TG), and low-density lipoprotein cholesterol (LDL-C) in all patients treated with GLP-1RA after 12 weeks were significantly different (P 0.05). The patients were categorized into two groups based on the types of GLP-1RAs. The changes in L/S, TC, TG, and LDL-C in the long-acting group after treatment were statistically significant (P Conclusions: GLP-1RAs can improve liver function, regulate lipid metabolism, and reduce the severity of fatty liver in patients with T2DM complicated by NAFLD, which demonstrates the importance of clinical applications.

Discovering hidden patterns:Association rules for cardiovascular diseases in type 2 diabetes mellitus

BACKGROUND It is increasingly common to find patients affected by a combination of type 2 diabetes mellitus(T2DM)and coronary artery disease(CAD),and studies are able to correlate their relationships with available biological and clinical evidence.The aim of the current study was to apply association rule mining(ARM)to discover whether there are consistent patterns of clinical features relevant to these diseases.ARM leverages clinical and laboratory data to the meaningful patterns for diabetic CAD by harnessing the power help of data-driven algorithms to optimise the decision-making in patient care.AIM To reinforce the evidence of the T2DM-CAD interplay and demonstrate the ability of ARM to provide new insights into multivariate pattern discovery.METHODS This cross-sectional study was conducted at the Department of Biochemistry in a specialized tertiary care centre in Delhi,involving a total of 300 consented subjects categorized into three groups:CAD with diabetes,CAD without diabetes,and healthy controls,with 100 subjects in each group.The participants were enrolled from the Cardiology IPD&OPD for the sample collection.The study employed ARM technique to extract the meaningful patterns and relationships from the clinical data with its original value.RESULTS The clinical dataset comprised 35 attributes from enrolled subjects.The analysis produced rules with a maximum branching factor of 4 and a rule length of 5,necessitating a 1%probability increase for enhancement.Prominent patterns emerged,highlighting strong links between health indicators and diabetes likelihood,particularly elevated HbA1C and random blood sugar levels.The ARM technique identified individuals with a random blood sugar level>175 and HbA1C>6.6 are likely in the“CAD-with-diabetes”group,offering valuable insights into health indicators and influencing factors on disease outcomes.CONCLUSION The application of this method holds promise for healthcare practitioners to offer valuable insights for enhancing patient treatment targeting specific subtypes of CAD with diabetes.Implying artificial intelligence techniques with medical data,we have shown the potential for personalized healthcare and the development of user-friendly applications aimed at improving cardiovascular health outcomes for this high-risk population to optimise the decision-making in patient care.

Comparative efficacy of sodium glucose cotransporter-2 inhibitors in the management of type 2 diabetes mellitus:A real-world experience

BACKGROUND Sodium glucose cotransporter-2 inhibitors(SGLT-2i)are a class of drugs with modest antidiabetic efficacy,weight loss effect,and cardiovascular benefits as proven by multiple randomised controlled trials(RCTs).However,real-world data on the comparative efficacy and safety of individual SGLT-2i medications is sparse.AIM To study the comparative efficacy and safety of SGLT-2i using real-world clinical data.METHODS We evaluated the comparative efficacy data of 3 SGLT-2i drugs(dapagliflozin,canagliflozin,and empagliflozin)used for treating patients with type 2 diabetes mellitus.Data on the reduction of glycated hemoglobin(HbA1c),body weight,blood pressure(BP),urine albumin creatinine ratio(ACR),and adverse effects were recorded retrospectively.RESULTS Data from 467 patients with a median age of 64(14.8)years,294(62.96%)males and 375(80.5%)Caucasians were analysed.Median diabetes duration was 16.0(9.0)years,and the duration of SGLT-2i use was 3.6(2.1)years.SGLT-2i molecules used were dapagliflozin 10 mg(n=227;48.6%),canagliflozin 300 mg(n=160;34.3%),and empagliflozin 25 mg(n=80;17.1).Baseline median(interquartile range)HbA1c in mmol/mol were:dapagliflozin-78.0(25.3),canagliflozin-80.0(25.5),and empagliflozin-75.0(23.5)respectively.The respective median HbA1c reduction at 12 months and the latest review(just prior to the study)were:66.5(22.8)&69.0(24.0),67.0(16.3)&66.0(28.0),and 67.0(22.5)&66.5(25.8)respectively(P<0.001 for all comparisons from baseline).Significant improvements in body weight(in kilograms)from baseline to study end were noticed with dapagliflozin-101(29.5)to 92.2(25.6),and canagliflozin 100(28.3)to 95.3(27.5)only.Significant reductions in median systolic and diastolic BP,from 144(21)mmHg to 139(23)mmHg;(P=0.015),and from 82(16)mmHg to 78(19)mmHg;(P<0.001)respectively were also observed.A significant reduction of microalbuminuria was observed with canagliflozin only[ACR 14.6(42.6)at baseline to 8.9(23.7)at the study end;P=0.043].Adverse effects of SGLT-2i were as follows:genital thrush and urinary infection-20(8.8%)&17(7.5%)with dapagliflozin;9(5.6%)&5(3.13%)with canagliflozin;and 4(5%)&4(5%)with empagliflozin.Diabetic ketoacidosis was observed in 4(1.8%)with dapagliflozin and 1(0.63%)with canagliflozin.CONCLUSION Treatment of patients with SGLT-2i is associated with statistically significant reductions in HbA1c,body weight,and better than those reported in RCTs,with low side effect profiles.A review of large-scale real-world data is needed to inform better clinical practice decision making.

Association of plasma vitamin A level with type 2 diabetes mellitus:a community aging population-based cross-sectional study

Recent studies indicated that vitamin A(VA)might be involved in the pathology of type 2 diabetes mellitus(T2DM).This cross-sectional study was conducted to explore the association between circulating VA level and T2DM.A total of 1818 subjects aged 50 years old and above were recruited from the community.Binomial logistic regression and restricted cubic spline(RCS)were applied to analyze the association of plasma VA level with the risk of T2DM.Serum VA and lipid-adjusted VA levels of T2DM patients were significantly higher than that of non-T2DM subjects(P<0.05).The ratios of plasma VA/total cholesterol(TC),VA/high-density lipoprotein cholesterol(HDL-c)and VA/low-density lipoprotein cholesterol(LDL-c)were positively associated with the risk of T2DM in the aging population(P<0.05).Compared with the Q1 level,subjects with Q2 to Q3 levels of plasma VA/triglyceride(TG)have decreased risk of T2DM(odds ratio(OR)Q2=0.68,P_(Q2)=0.021;ORQ3=0.59,P_(Q3)<0.01).Our results indicated that the imbalance of circulating lipids and VA might affect the relationship between VA and T2DM.The middle and aging subjects with higher ratios of plasma VA/TC,VA/HDL-c,and VA/LDL-c displayed increased risk for T2DM,but the moderate ratio of VA/TG might protect against risk of T2DM.

Disparate outcomes in Hispanic patients with metabolic dysfunctionassociated steatotic liver disease/steatohepatitis and type 2 diabetes: Large cohort study

BACKGROUND Metabolic dysfunction-associated steatotic liver disease(MASLD)and metabolic dysfunction-associated steatohepatitis(MASH)are a growing health burden across a significant portion of the global patient population.However,these conditions seem to have disparate rates and outcomes between different ethnic populations.The combination of MASLD/MASH and type 2 diabetes increases the risk of hepatocellular carcinoma(HCC),and Hispanic patients experience the greatest burden,particularly those in South Texas.AIM To compare outcomes between Hispanic and non-Hispanic patients in the United States,while further focusing on the Hispanic population within Southeast Texas to determine whether the documented disparity in outcomes is a function of geographical circumstance or if there is a more widespread reason that all clinicians must account for in prognostic consideration.METHODS This cohort analysis was conducted with data obtained from TriNetX,LLC(“TriNetX”),a global federated health research network that provides access to deidentified medical records from healthcare organizations worldwide.Two cohort networks were used:University of Texas Medical Branch(UTMB)hospital and the United States national database collective to determine whether disparities were related to geographic regions,like Southeast Texas.RESULTS This study findings revealed Hispanics/Latinos have a statistically significant higher occurrence of HCC,type 2 diabetes mellitus,and liver fibrosis/cirrhosis in both the United States and the UTMB Hispanic/Latino groups.Allcause mortality in Hispanics/Latinos was lower within the United States group and not statistically elevated in the UTMB cohort.CONCLUSION This would appear to support that Hispanic patients in Southeast Texas are not uniquely affected compared to the national Hispanic population.

Interplay of serum biomarkers bilirubin andγ-glutamyltranspeptidase in predicting cardiovascular complications in type-2 diabetes mellitus

This editorial synthesizes insights from a series of studies examining the interplay between metabolic and oxidative stress biomarkers in cardiovascular disease(CVD),focusing particularly on type-2 diabetes mellitus(T2DM)and acute coronary syndrome(ACS).The central piece of this synthesis is a study that investigates the balance between oxidative stress and antioxidant systems in the body through the analysis of serum bilirubin andγ-glutamyltranspeptidase(γ-GGT)levels in T2DM patients with ACS.This study highlights serum bilirubin as a protective antioxidant factor,while elevatedγ-GGT levels indicate increased oxidative stress and correlate with major adverse cardiovascular events.Complementary to this,other research contributions revealγ-GGT’s role as a risk factor in ACS,its association with cardiovascular mortality in broader populations,and its link to metabolic syndrome,further elucidating the metabolic dysregulation in CVDs.The collective findings from these studies underscore the critical roles ofγ-GGT and serum bilirubin in cardiovascular health,especially in the context of T2DM and ACS.By providing a balanced view of the body’s oxidative and antioxidative mechanisms,these insights suggest potential pathways for targeted interventions and improved prognostic assessments in patients with T2DM and ACS.This synthesis not only corroborates the pivotal role ofγ-GGT in cardiovascular pathology but also introduces the protective potential of antioxidants like bilirubin,illuminating the complex interplay between T2DM and heart disease.These studies collectively underscore the critical roles of serum bilirubin andγ-GGT as biomarkers in cardiovascular health,particularly in T2DM and ACS contexts,offering insights into the body’s oxidative and antioxidative mechanisms.This synthesis of research supports the potential of these biomarkers in guiding therapeutic strategies and improving prognostic assessments for patients with T2DM and some CVD.

Metabolic dysfunction-associated steatotic liver disease-associated fibrosis and cardiac dysfunction in patients with type 2 diabetes

BACKGROUND Metabolic dysfunction-associated steatotic liver disease(MASLD),particularly in the presence of liver fibrosis,increases the risk of cardiovascular morbidity and mortality,but the nature of the cardio-hepatic interaction in the context type 2 diabetes mellitus(T2DM)is not fully understood.AIM To evaluate the changes in cardiac morphology and function in patients with T2DM and MASLD-associated liver fibrosis.METHODS T2DM patients with MASLD underwent a medical evaluation that included an assessment of lifestyle,anthropometric measurements,vital signs,an extensive laboratory panel,and a standard echocardiography.Liver fibrosis was evaluated using two scores[Fibrosis-4(FIB4)and Non-alcoholic fatty liver disease-Fibrosis Score(NFS)],and subjects were classified as having advanced fibrosis,no fibrosis,or an indeterminate risk.The correlations between structural and functional cardiac parameters and markers of liver fibrosis were evaluated through bivariate and multiple regression analyses.Statistical significance was set at P<0.05.RESULTS Data from 267 T2DM-MASLD subjects with complete assessment was analyzed.Patients with scores indicating advanced fibrosis exhibited higher interventricular septum and left ventricular(LV)posterior wall thickness,atrial diameters,LV end-systolic volume,LV mass index(LVMi),and epicardial adipose tissue thickness(EATT).Their mean ejection fraction(EF)was significantly lower(49.19%±5.62%vs 50.87%±5.14%vs 52.00%±3.25%;P=0.003),and a smaller proportion had an EF≥50%(49.40%vs 68.90%vs 84.21%;P=0.0017).Their total and mid LV wall motion score indexes were higher(P<0.05).Additionally,they had markers of diastolic dysfunction,with a higher E/e’ratio[9.64±4.10 vs 8.44(2.43-26.33)vs 7.35±2.62;P=0.026],and over 70%had lateral e’values<10 cm/second,though without significant differences between groups.In multiple regression analyses,FIB4 correlated with left atrium diameter(LAD;β=0.044;P<0.05),and NFS with both LAD(β=0.039;P<0.05)and right atrium diameter(β=0.041;P<0.01),Moreover,LVMi correlated positively with age and EATT(β=1.997;P=0.0008),and negatively with serum sex-hormone binding protein(SHBP)concentrations(β=-0.280;P=0.004).SHBP also correlated negatively with LAD(β=-0.036;P<0.05).CONCLUSION T2DM patients with markers of MASLD-related liver fibrosis exhibit lower EF and present indicators of diastolic dysfunction and cardiac hypertrophy.Additionally,LVMi and LAD correlated negatively with serum SHBP concentrations.

Outpatient insulin use in type 2 diabetes mellitus and acute respiratory distress syndrome outcomes:A retrospective cohort study

BACKGROUND The impact of type 2 diabetes mellitus(T2DM)on acute respiratory distress syndrome(ARDS)is debatable.T2DM was suspected to reduce the risk and complications of ARDS.However,during coronavirus disease 2019(COVID-19),T2DM predisposed patients to ARDS,especially those who were on insulin at home.AIMTo evaluate the impact of outpatient insulin use in T2DM patients on non-COVID-19 ARDS outcomes.METHODS We conducted a retrospective cohort analysis using the Nationwide Inpatient Sample database.Adult patients diagnosed with ARDS were stratified into insulin-dependent diabetes mellitus(DM)(IDDM)and non-insulindependent DM(NIDDM)groups.After applying exclusion criteria and matching over 20 variables,we compared cohorts for mortality,duration of mechanical ventilation,incidence of acute kidney injury(AKI),length of stay(LOS),hospitalization costs,and other clinical outcomes.RESULTS Following 1:1 propensity score matching,the analysis included 274 patients in each group.Notably,no statistically significant differences emerged between the IDDM and NIDDM groups in terms of mortality rates(32.8%vs 31.0%,P=0.520),median hospital LOS(10 d,P=0.537),requirement for mechanical ventilation,incidence rates of sepsis,pneumonia or AKI,median total hospitalization costs,or patient disposition upon discharge.CONCLUSION Compared to alternative anti-diabetic medications,outpatient insulin treatment does not appear to exert an independent influence on in-hospital morbidity or mortality in diabetic patients with non-COVID-19 ARDS.

Multi Head Deep Neural Network Prediction Methodology for High-Risk Cardiovascular Disease on Diabetes Mellitus

Major chronic diseases such as Cardiovascular Disease(CVD),diabetes,and cancer impose a significant burden on people and healthcare systems around the globe.Recently,Deep Learning(DL)has shown great potential for the development of intelligentmobile Health(mHealth)interventions for chronic diseases that could revolutionize the delivery of health care anytime,anywhere.The aimof this study is to present a systematic review of studies that have used DL based on mHealth data for the diagnosis,prognosis,management,and treatment of major chronic diseases and advance our understanding of the progress made in this rapidly developing field.Type 2 Diabetes Mellitus(T2DMs)is a regular chronic disorder that is caused by the secretion of insulin,which leads to serious death-related issues and the most complicated ones.Coronary Heart Disease(CHD)is the most frequent issue related to T2DM patients.The major concern is recognizing the high possibility of CHD complications,yet the model is not available to identify it.This work introduces a deep learning technique that can predict heart disease effectively using a hybrid model,which integrates DNNs(Deep Neural Networks)with a Multi-Head Attention Model called MADNN.The scheme canbedesignedtoautomatically learnthe best-quality features fromElectronic Health Records(EHRs),and effectively combine heterogeneous and time-sequencedmedical data for predicting the risk of CVD.The analysis is done using the Kaggle dataset.The outcomes prove that the MADNN has improved accuracy by about 95%and indicates the precise accuracy is higher for the disease compared with SVM,CNN and ANN.

Dapagliflozin as an oral antihyperglycemic agent in the management of diabetes mellitus in patients with liver cirrhosis

BACKGROUND The use of dapagliflozin in patients with cirrhosis has been relatively restricted due to concerns regarding its overall safety and pharmacological profile in this population.AIM To determine the safety and effectiveness of dapagliflozin in the co-management of diabetes mellitus and cirrhosis with or without ascites.METHODS The patients studied were divided into two groups:100 patients in the control group received insulin,while 200 patients received dapagliflozin.These patients were classified as Child A,B,or C based on the Child–Pugh classification.Child A or B and Child C were administered doses of 10 mg and 5 mg of dapagliflozin,respectively.RESULTS The rate of increased diuretics dose was markedly elevated in the group that received insulin compared to the group that received dapagliflozin.In addition,dapagliflozin treatment substantially reduced weight,body mass index,and fasting blood glucose compared to the insulin group during follow-up.However,there were no significant differences in hemoglobin A1c,liver function,or laboratory investigations between both groups during the follow-up period.The incidence of hypoglycemia,hepatic encephalopathy,variceal bleeding,and urinary tract infection was significantly higher in the insulin group compared to the dapagliflozin group.In contrast,the dapagliflozin group experienced significantly higher rates of frequent urination and dizziness.In addition,the insulin group exhibited a marked worsening of ascites compared to the dapagliflozin group.CONCLUSION Dapagliflozin demonstrated safety and efficacy in the treatment of diabetic patients who have cirrhosis with or without ascites.This resulted in an improvement of ascites,as well as a decrease in diuretic dose and Child–Pugh score.

Mechanism of Gegen Qinlian Decoction in Treating Type 2 Diabetes Mellitus Complicated with NAFLD Based on Network Pharmacology

[Objectives]To explore the mechanism of Gegen Qinlian Decoction in treating type 2 diabetes mellitus(T2DM)complicated with non-alcoholic fatty liver disease(NAFLD)by analyzing the effective components of Gegen Qinlian Decoction.[Methods]TCMSP database was used to analyze the active components of Gegen Qinlian Decoction,and pubchem and Swiss ADME databases were also used to predict drug targets,extract T2DM complicated with NAFLD targets from OMIM and Genecards databases.Venny plot was drawn to obtain intersection targets,and finally Cytoscape was used to make core target maps and drug-target-disease network maps.Using DAVID and Metascape database to analyze the intersection targets,the gene ontology information of Go and KEGG was obtained.Microbial informatics technology was used to visualize GO,and Cytoscape was used to make drug-target-disease network map-enrichment pathway map.[Results]The network pharmacological analysis showed that Gegen Qinlian Decoction acted on the key targets of type 2 diabetes mellitus complicated with non-alcoholic fatty liver disease,such as ALB and ALT1,through many components,and achieved the purpose of treating this disease.The chemical constituents of the drug include formononetin,5-hydroxyisomucronulatol-2,5-2-O-glucoside,cholesteryl laurate,isoliquiritigenin,etc.[Conclusions]This study provides a new idea and theoretical support for future drug research and clinical practice.

Prevalence, Risk Factors, and Awareness of Chronic Kidney Disease among Diabetes Mellitus and Hypertensive Individuals at the Buea Regional Hospital, Cameroon

Background: Kidney failure, cardiovascular disease, and early mortality are just a few of the major negative effects of chronic renal disease, a serious global health issue. The considerable financial and public health burden associated with chronic kidney disease can be lessened by raising awareness and adopting better practices for its impact, prevention, and early identification. Objective: In this study, individuals with hypertension and diabetes were evaluated for their knowledge of chronic kidney disease, its prevalence, and its risk factors. Method: It was a hospital-based cross-sectional study conducted on adult (>18 years) patients with diabetes mellitus and hypertension. Each participant provided written informed consent before having their data collected through interviews, medical information, and blood samples for CKD screening. The CKD epidemiology collaboration (CKD-EPI) equation was used to calculate the glomerular filtration rate (GFR) from serum creatinine, and CKD was determined using the estimated GFR (e-GFR). To find independent CKD factors, multivariate logistic regression was employed, with a p-value of 0.05 being regarded as statistically significant. This was accomplished using SPSS (Statistical Program for Social Sciences) version 22.0, IBM Corp., Armonk, NY. Result: A total of 156 participants took part in the study among which 95 (60.9%) were male, most of the participants 82 (52.6%) were aged between 51 - 70 years (mean 59.42 ± 11.007), 76 (48.7%) were unemployed and 97 (62.2%) were single. Overall, the knowledge score of participants on CKD was 65.4% for good knowledge and 34.6% for poor or inadequate knowledge of CKD. More than half of the participants (60%) had chronic kidney disease. Among these, the greatest proportion of CKD patients were those who were hypertensive (88.2%) followed by those who were both hypertensive and diabetic (70.7%). Conclusion: There is poor management of CKD in the South West Region of Cameroon which has contributed greatly to the progression of CKD and increases in the mortality rate.

Diabetes mellitus and Parkinson's disease:dangerous liaisons between insulin and dopamine

The relationship between diabetes mellitus and Parkinson's disease has been described in several epidemiological studies over the 1960 s to date.Molecular studies have shown the possible functional link between insulin and dopamine,as there is strong evidence demonstrating the action of dopamine in pancreatic islets,as well as the insulin effects on feeding and cognition through central nervous system mechanism,largely independent of glucose utilization.Therapies used for the treatment of type 2 diabetes mellitus appear to be promising candidates for symptomatic and/or disease-modifying action in neurodegenerative diseases including Parkinson's disease,while an old dopamine agonist,bromocriptine,has been repositioned for the type 2 diabetes mellitus treatment.This review will aim at reappraising the different studies that have highlighted the dangerous liaisons between diabetes mellitus and Parkinson's disease.

Exendin-4 and linagliptin attenuate neuroinflammation in a mouse model of Parkinson's disease

Use of glucagon-like peptide-1 receptor agonist or dipeptidyl peptidase 4 inhibitor has been shown to lower the incidence of Parkinson's disease in patients with diabetes mellitus.Therefore,using these two treatments may help treat Parkinson's disease.To further investigate the mechanisms of action of these two compounds,we established a model of Parkinson's disease by treating mice with 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine and then subcutaneously injected them with the glucagon-like peptide-1 receptor agonist exendin-4 or the dipeptidyl peptidase 4 inhibitor linagliptin.We found that both exendin-4 and linagliptin reversed motor dysfunction,glial activation,and dopaminergic neuronal death in this model.In addition,both exendin-4 and linagliptin induced microglial polarization to the anti-inflammatory M2 phenotype and reduced pro-inflammatory cytokine secretion.Moreover,in vitro experiments showed that treatment with exendin-4 and linagliptin inhibited activation of the nucleotide-binding oligomerization domain-and leucine-rich-repeat-and pyrin-domaincontaining 3/caspase-1/interleukin-1βpathway and subsequent pyroptosis by decreasing the production of reactive oxygen species.These findings suggest that exendin-4 and linagliptin exert neuroprotective effects by attenuating neuroinflammation through regulation of microglial polarization and the nucleotidebinding oligomerization domain-and leucine-rich-repeat-and pyrin-domain-containing 3/caspase-1/interleukin-1βpathway in a mouse model of Parkinson's disease induced by 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine.Therefore,these two drugs may serve as novel anti-inflammatory treatments for Parkinson's disease.