Cases Of Diabetes Research Articles

6984 New Onset Diabetes After Transplant: Need for Strict Glucose Monitoring

Abstract Disclosure: T. Chaudhary: None. O. Syed: None. M. Nawaz: None. R. Kaur: None. Introduction: Immunosuppressant use comes at a cost of challenging side effects, which are being discovered more as its use increases. One such example is our case of new-onset diabetes after transplant (NODAT).Patient presentation: A 36-year-old male with a past medical history of end-stage renal disease status post renal transplant (6/2023), hypertension, and hyperlipidemia who presented to the hospital in 10/2023 with fever, chills, and diarrhea. His vitals at that time were as follows: temperature 36.1C, blood pressure 148/84 mmHg, pulse 87 bpm, and a respiratory rate of 22. Lab work was significant for blood glucose 1144, anion gap 22, bicarbonate 13, potassium 7.3, Sodium 135, lipase 427, pH 7.3, urine ketones 80, HbA1C 11.5 %. CT scan of the abdomen revealed loss of peripancreatic fat and inflammatory changes surrounding the pancreas. His medication review included Tacrolimus 12 mg daily, Mycophenolate 500 mg BID, Valtrex 500mg daily, and fluconazole 200mg every other day. He was treated with 2 liters of normal saline bolus and started on maintenance fluid, and insulin drip as per DKA protocol. Calcium gluconate and an albuterol nebulizer were given for hyperkalemia. Tacrolimus and prednisone were held. Endocrinology and Nephrology were consulted. The patient was thought to have diabetes due to steroid use which were discontinued and the patient was discharged on subcutaneous insulin regimen and lower dose of tacrolimus. Despite discontinuation of steroids, patients continued to have raised glucose readings confirming the causative agent as tacrolimus. Conclusion: The current guidelines for post-kidney transplant patients recommend checking fasting blood glucose weekly for the first four weeks, then biweekly for two months, and then monthly thereafter. HbA1C should be checked every 3 months and if it is >6% then home glucose monitoring should be done as well. Although the frequency of these check-ups decreases, it is imperative for physicians to remember that patients can still develop NODAT months post-transplant. It is also essential to reinforce the importance of these glucose checks for the patient as missed diagnosis can lead to dangerous complications such as DKA. Presentation: 6/2/2024

12397 Predictors Of Hospital Readmission Within Three Months Among Patients Admitted For Diabetic Ketoacidosis (dka)

Abstract Disclosure: O. Onwudiwe: None. L. Yerashevich: None. C. Onwudiwe: None. B. Baral: None. A. Acharya: None. H. Nguyen: None. Purpose: Diabetic ketoacidosis (DKA) represents a critical, life-threatening complication of diabetes, with higher rates of re-admission noted among individuals from lower socioeconomic backgrounds, those lacking insurance coverage, and those with suboptimal follow-up care. This study seeks to identify predictors of hospital readmission within three months among patients admitted for DKA in a community hospital setting. Methods: Patient data were extracted from electronic medical records from 2019 to 2021 for individuals admitted due to DKA using ICD codes. DKA diagnosis was based on the presence of hyperglycemia, high anion gap metabolic acidosis, and ketonemia. Demographic information, results of routine biochemical tests, insurance status, follow-up with primary care providers (PCP) or endocrinologists, and clinical progression were retrospectively collected from patients' records. Multivariable logistic regression analyses were conducted to identify predictors of readmission. Results: A total of 222 unique DKA admission visits were analyzed. The mean age (standard deviation) of the patients was 48 (16) years, and 58% of them were male. Among these visits, 39% had type 1 diabetes, 43% had type 2 diabetes, and 18% were newly diagnosed diabetes cases. The majority of patients were overweight, with a mean body mass index (BMI) of 27, and the mean glycated hemoglobin level was 10.8. Common triggers for DKA included insulin non-adherence (52%), infection (37.8%), and alcohol use (8.6%). Logistic regression analysis revealed that lack of follow-up significantly increased the odds of readmission within three months (B = 2.025, p = .003, Exp(B) = 7.576, 95% CI [1.952, 29.401]), as did having type 1 diabetes (B = 1.473, p = .019, Exp(B) = 4.364, 95% CI [1.272, 14.978]). However, the association between insulin adherence and readmission was not statistically significant at the conventional alpha level of 0.05 (B = 1.329, p = .112, Exp(B) = 3.777, 95% CI [0.733, 19.458]). Other demographic (age, gender, employment status, insurance status, medication compliance,) and clinical [insulin adherence, presence of infection, blood glucose level at diagnosis of DKA, and level of glycated hemoglobin (Hba1c)] variables did not significantly predict readmission within 3 months. Conclusion: DKA, being preventable with adequate insulin adherence, is also influenced by factors such as infection and lifestyle choices. The findings highlight the critical role of post-discharge follow-up care in reducing readmission rates among DKA patients. Healthcare providers should prioritize ensuring timely and comprehensive follow-up, particularly for patients with type 1 diabetes, to optimize post-hospitalization management and prevent avoidable readmissions. Presentation: 6/3/2024

A Nationwide Physical Activity Intervention for 654,500 Adults in Singapore: Cost-Utility Analysis.

Increasing physical inactivity is a primary risk factor for diabetes and hypertension, contributing to rising health care expenditure and productivity losses. As Singapore's aging population grows, there is an increased disease burden on Singapore's health systems. Large-scale physical activity interventions could potentially reduce the disease burden but face challenges with the uncertainty of long-term health impact and high implementation costs, hindering their adoption. We examined the cost-effectiveness of the Singapore National Steps Challenge (NSC), an annual nationwide mobile health (mHealth) intervention to increase physical activity, from both the health care provider perspective, which only considers the direct costs, and the societal perspective, which considers both the direct and indirect costs. We used a Markov model to assess the long-term impact of increased physical activity from the NSC on adults aged 17 years and older. A Monte Carlo simulation with 1000 samples was conducted to compare two situations: the NSC conducted yearly for 10 years against a no-intervention situation with no NSC. The model projected inpatient and outpatient costs and mortality arising from diabetes and hypertension, as well as their complications. Health outcomes were expressed in terms of the quality-adjusted life-years (QALYs) gained. All future costs and QALYs were discounted at 3% per annum. Sensitivity analyses were done to test the robustness of our model results. We estimated that conducting the NSC yearly for 10 years with a mean cohort size of 654,500 participants was projected to prevent 6200 diabetes cases (95% credible interval 3700 to 9100), 10,500 hypertension cases (95% credible interval 6550 to 15,200), and 4930 deaths (95% credible interval 3260 to 6930). This led to a reduction in health care costs of SGD (Singapore dollar) 448 million (95% credible interval SGD 132 million to SGD 1.09 billion; SGD 1=US $0.73 for the year 2019). There would be 78,800 (95% credible interval 55,700 to 102,000) QALYs gained. Using a willingness-to-pay threshold of SGD 10,000 per QALY gained, the NSC would be cost-saving. When indirect costs were included, the NSC was estimated to reduce societal costs by SGD 1.41 billion (95% credible interval SGD 353 million to SGD 3.80 billion). The model was most sensitive to changes in the inpatient cost of treatment for diabetes complications, time horizon, and program compliance. In this modeling study, increasing physical activity by conducting a yearly nationwide physical activity intervention was cost-saving, preventing diabetes and hypertension and reducing mortality from these diseases. Our results provide important information for decision-making in countries that may consider introducing similar large-scale physical activity programs.

Ameliorative Review on Exploration of Spices in Aspects of Phytochemical Screening for their Antidiabetic Action

Diabetes is a diverse group of disorder characterized by hyperglycemia due to an deficiency in insulin production. Diabetes mellitus's chronic hyperglycemia is linked to end organ damage, dysfunction, and failure, including blood vessel, kidney, retina, and nervous system. With over 62 million cases of diabetes being identified in India, the disease is rapidly turning into a true epidemic. The majority of synthetic oral hypoglycemic medications available for the disease's treatment are costly, have significant adverse effects, and/or cannot be used while pregnant. As a result, a growing number of people worldwide are turning to traditional herbal remedies to prevent and treat diabetes. Spices having antioxidant, hypoglycemic, and hypolipidemic characteristics may be effective in the therapy of diabetes. As a result, these spices are growing in popularity due to their potential efficacy, little to nonexistent adverse effects, and synergistic effects. Spices are compounds used in food as coloring, flavoring, or preservation. They might be fresh or dried seeds, bark, roots, fruits, or even vegetables. This paper includes phytochemical screening of spices which have crucial role in the treatment of diabetis mellitus.

Management of myocardial infarction with non-obstructive coronary arteries (MINOCA) in Germany: a single-center study on hospital resources and healthcare economics.

Patients with myocardial infarction with non-obstructive coronary arteries (MINOCA) present as a main feature ≤50% stenosis upon angiography despite clinical symptoms and biomarker elevation related to acute coronary syndrome. Due to broad availability of high sensitivity troponin testing as well as invasive and non-invasive imaging, this clinical entity receives increasing clinical awareness. We aimed to investigate the in-hospital work flow and economic impact of MINOCA vs. MICAD (myocardial infarction with obstructive coronary artery disease) patients and related clinical outcomes in a single-center patient collective of a large university heart center in Germany. We retrospectively screened and analyzed all patients who were admitted to our hospital under the suspicion of an acute coronary syndrome within a 12-month period (2017-2018) for further diagnostics and treatment. All included patients showed a pathological troponin elevation and received invasive coronary angiography for acute coronary syndrome. Associated in-hospital costs, procedural and various clinical parameters as well as timelines and parameters of work-flow were obtained. After screening of 3,021 patients, we included 660 patients with acute coronary syndrome. Of those, 118 patients were attributed to the MINOCA-group. 542 patients presented with a "classical" myocardial infarction (MICAD group). MINOCA patients were less frail, more likely female, but showed no relevant difference in age or other selected comorbidities except for fewer cases of diabetes. In-hospital mortality (11% vs. 0%; p < 0.001) and 30-day mortality (17.3% vs. 4.2%; p < 0.001) after the index event were significantly higher in the "classical" myocardial infarction group (MICAD)- Despite a shorter overall length of hospital stay (9.5 ± 8.7 days vs. 12.3 ± 10.5 days, p < 0.01) with a significantly shorter duration of high care monitoring (intensive/intermediate care or chest pain units) (2.4 ± 2.1 days vs. 4.7 ± 3.3 days, p < 0.01) MINOCA patients consumed a relevant contingent of hospital resources. Thus, in a 12-months period a total sum of almost 300 days was attributed to high care monitoring for MINOCA patients with a mean difference of approximately 50% compared to patients with classical myocardial infarction. With average and median costs of 50% less per index, MINOCA treatment costs were lower compared to the MICAD group in the hospital reimbursement system of Germany. Consequently, MINOCA treatment was not associated with a relevant profit for these expanses and a relevant share of nearly 40% of the total costs was generated due to high care monitoring. In light of lower mortality than MICAD and growing scarcity of staff, financial and capacity resources the clinical symptom complex of MINOCA should be put under particular consideration for refining care concepts and resource allocation.

Evaluation of foveal avascular zone changes in patients with type 1 diabetes using optical coherence topography angiography

Aim To evaluate vascular changes in the foveal avascular zone in pediatric patients with type 1 diabetes by using optical coherence tomography angiography (OCTA). Patients and methods This cross-sectional study was performed in Benha University Hospital at Department of Ophthalmology. The patients were obtained from the Pediatric Endocrinology Clinic in Benha University Hospital. The study was conducted on 48 patients (96 eyes) divided into two groups: group A, 24 diabetic children with type 1 diabetes, group B, 24 healthy children of the same age and sex who met the inclusion criteria. The patients were collected from April 2022 to April 2023. The patients were photographed using the Optovue AngioVue OCTA System. Results Our results show that according to the foveal avascular zone it was slightly wider in type 1 diabetic cases with no clinically evident diabetes retinopathy (DR) than control. There were insignificant differences between the two groups as regards foveal density, but as regards foveal thickness, it was significantly lower in diabetic cases than in the control group. Conclusion We discovered that OCTA could consistently identify microvascular changes in the Deep and Superficial Capillary Plexus prior to the clinical indications’ onset of DR. In order to assess the OCTA potential for the screening of DR in children with T1DM, it is necessary to conduct numerous prospective studies.

National health and economic impact of a lifestyle program to prevent type 2 diabetes mellitus in Germany: a simulation study

IntroductionTo examine the long-term health and economic impact of a lifestyle diabetes prevention program in people with high risk of developing type 2 diabetes in Germany.Research design and methodsWe assessed...

A novel lightweight deep learning framework with knowledge distillation for efficient diabetic foot ulcer detection

Diabetic Foot Ulcers (DFUs) are a critical healthcare issue requiring early detection. Although deep learning models show promise in DFU diagnosis, their large parameter sizes and high computational demands limit their practical use. This work addresses these challenges by introducing DFU-LWNet, a lightweight, knowledge-distilled model that maintains or even surpasses the performance of existing models while drastically reducing computing costs. The DFU-LWNet model synergistically integrates the MBConv Block, leveraging its capabilities in feature expansion, depthwise convolution for parameter efficiency, and adaptive feature recalibration through the Squeeze-and-Excitation (SE) mechanism. The methodology commences with the fine-tuning of seven pre-trained models, ultimately selecting InceptionV3 as the optimal teacher model based on experimental results. Subsequently, knowledge distillation (KD) is applied, leveraging the insights from this robust teacher model to enhance the performance of the student model, DFU-LWNet. The primary objective is to reduce the student model's parameter size and computational complexity while maintaining diagnostic accuracy. Through comprehensive evaluations, DFU-LWNet achieves an impressive classification accuracy of 96.23 % on a publicly available dataset comprising 1055 foot images. Notably, this achievement is accomplished with a remarkably low parameter size of only 0.49 million, consuming 2MB of disk space. This reduction in parameter size not only improves inference speed but also significantly reduces computational costs compared to pre-trained models. Moreover, the study employs Grad-CAM visualizations to demonstrate the model's enhanced saliency and interpretability in predictions post-KD, thereby offering valuable insights to clinicians. Additionally, the efficacy of DFU-LWNet extends to thermal imagery domains, as validated by experiments on a diverse dataset of thermal images of diabetic foot cases. The proposed approach achieves remarkable accuracy of 93.13 % on a separate thermal image dataset, demonstrating cross-domain success and reinforcing the model's practical utility in real-world scenarios. Compared to existing state-of-the-art methods, this work demonstrates promising practical viability. DFU-LWNet’s minimal parameter count and low prediction times make it well-suited for deployment in resource-limited healthcare settings.

Diagnóstico de la diabetes mellitus tipo 2. Situación epidemiológica, características de los pacientes, factores de riesgo y pronóstico

Type 2 diabetes mellitus (DM2) is one of the most prevalent chronic diseases. It accounts for approximately 90% of diabetes cases worldwide. This disease is characterized by insulin resistance and the progressive dysfunction of pancreatic beta cells, resulting in chronic hyperglycemia. In recent decades, the prevalence of DM2 has increased considerably due to changes in lifestyles, population aging, and urbanization. The complications associated with DM2, such as retinopathy, nephropathy, neuropathy, cardiovascular diseases, and lower extremity amputations, are a significant burden in terms of both healthcare and the economy. Intensive control of blood glucose and cardiovascular risk factors is crucial for preventing these complications. Early detection and effective interventions, such as lifestyle changes and pharmacological treatments, are essential in order to reduce the incidence of DM2 and its comorbidities.

Etiopatogenia y situación epidemiológica de la diabetes mellitus tipo 1

Type 1 diabetes mellitus (DM1) accounts for 5%-10% of diabetes cases worldwide. In most patients, the pathogenesis is the autoimmune destruction of pancreatic beta cells; in a small percentage, the origin is idiopathic. Although its onset is more common in children, it can also appear in adults, in whom the course is usually slower. Three phases or stages of DM1 have been defined. Virtually all patients with two or more antibodies will develop clinical DM1 (stage 3). In regard to DM1 prevention, there are multiple therapies under study that are aimed at halting the immunologic process or preserving the beta cell. Only teplizumab has been approved by the FDA in stage 2 DM1. The typical clinical symptoms in the diagnosis of DM1 is diabetic ketoacidosis (DKA), which is considered a medical emergency that requires the administration of insulin for its resolution. The determination of autoantibodies in relatives of patients with DM1 has increased the detection of cases of preclinical or asymptomatic DM1 and the need for universal screening for DM1 is being proposed.

Investigating the Prevalence of Undiagnosed Diabetes and Its Associated Factors Among Healthcare Workers: A Cross-sectional Study in South of Iran

Abstract Context: Undiagnosed diabetes mellitus (DM) is a hidden aspect of the diabetes epidemic. Globally, over 50% of cases are estimated to be undiagnosed. Undiagnosed DM poses serious public health concerns due to increased risks of complications. Aims: This study aimed to investigate the prevalence and associated factors of undiagnosed diabetes among healthcare workers in southern Iran. Settings and Design: This cross-sectional study analyzed baseline data from the Shiraz University of Medical Sciences Employees Health Cohort Study, involving 5918 healthcare workers aged from 20 to 70 years. Materials and Methods: Participants completed questionnaires, underwent anthropometric measurements, and provided blood samples for clinical laboratory tests. Undiagnosed diabetes was defined as fasting plasma glucose ≥126 mg/dL in those without a previous diagnosis. Statistical Analysis Used: Univariate and multivariate logistic regression analyses were used to determine associated factors. Results: The prevalence of undiagnosed diabetes was 1.2%. Diagnosed diabetes had a prevalence of 3.1%. Together, undiagnosed cases accounted for 27.4% of total cases. Age (odds ratio [OR] = 1.09, 95% confidence interval [CI] [1.05–1.12]), male gender (OR = 1.67, 95% CI [1.01–2.74]), general obesity (OR = 3.64, 95% CI [2.45–5.91]), abdominal obesity (OR = 2.62, 95% CI [1.52–4.52]), hypertension (OR = 1.84, 95% CI [1.06–3.17]), and dyslipidemia were associated factors for undiagnosed diabetes. Conclusions: Although lower than national estimates, over one-quarter of diabetic cases among health workers remained undiagnosed, highlighting the need for improved screening, especially in high-risk groups. Expanding screening programs, raising health literacy, and increasing community access to preventive services are essential steps in addressing the public health issue of undiagnosed diabetes.

Hemoglobin A1c Genetics and Disparities in Risk of Diabetic Retinopathy in Individuals of Genetically Inferred African American/African British and European Ancestries.

Individuals with diabetes who carry genetic variants that lower hemoglobin A1c (HbA1c) independently of glycemia may have higher real, but undetected, hyperglycemia compared with those without these variants despite achieving similar HbA1c targets, potentially placing them at greater risk for diabetes-related complications. We sought to determine whether these genetic variants, aggregated in a polygenic score, and the large-effect African ancestry-specific missense variant in G6PD (rs1050828) that lower HbA1c were associated with higher retinopathy risk. Using data from 29,828 type 2 diabetes cases of genetically inferred African American/African British and European ancestries, we calculated ancestry-specific nonglycemic HbA1c polygenic scores (ngA1cPS) composed of 122 variants associated with HbA1c at genome-wide significance, but not with glucose. We tested the association of the ngA1cPS and the G6PD variant with retinopathy, adjusting for measured HbA1c and retinopathy risk factors. Participants in the bottom quintile of the ngA1cPS showed between 20% and 50% higher retinopathy prevalence, compared with those above this quintile, despite similar levels of measured HbA1c. The adjusted meta-analytic odds ratio for the bottom quintile was 1.31 (95% CI 1.0, 1.73; P = 0.05) in African ancestry and 1.31 (95% CI 1.15, 1.50; P = 6.5 × 10-5) in European ancestry. Among individuals of African ancestry with HbA1c below 7%, retinopathy prevalence was higher in individuals below, compared with above, the 50th percentile of the ngA1cPS regardless of sex or G6PD carrier status. Genetic effects need to be considered to personalize HbA1c targets and improve outcomes of people with diabetes from diverse ancestries.

Analysis of the global burden of CKD-T2DM in young and middle-aged adults in 204 countries and territories from 2000 to 2019: A systematic study of the global burden of disease in 2019

BackgroundDiabetes stands as a principal risk factor for severe complications including renal and cardiovascular diseases. The gradual rise in type 2 diabetes cases globally, coupled with a trend towards younger demographics, has led to an escalating prevalence of chronic kidney disease. However, its etiology is multifaceted, necessitating individualized treatment and refinement, particularly crucial in screening and managing the burden of CKD-T2DM. A comprehensive analysis of CKD-T2DM burden at global, regional, and national levels from 2000 to 2019, based on the latest data, can inform screening, early diagnostics, and treatment strategies, thereby optimizing healthcare resource allocation. MethodsUtilizing data sourced from the Global Burden of Disease (GBD) database, we delineated the incidence, mortality, and DALYs rates of CKD-T2DM from 2000 to 2019 across global, regional, and national scales. We summarized the age-standardized incidence rate (ASIR), age-standardized mortality rate (ASMR), and age-standardized death rate (ASDR) of CKD-T2DM globally, regionally, and nationally, presenting them visually. Moreover, we calculated and visually depicted the estimated annual percentage change (EAPC) of various CKD-T2DM indicators at these levels. Additionally, CKD-T2DM patients were stratified by age to compare the age distribution of patient deaths and the age burden between 2000 and 2019. FindingsThe disease burden of CKD-T2DM among young and middle-aged individuals globally has shown a sustained increase from 2000 to 2019. Incidence, mortality, and DALYs rates have exhibited an overall upward trend, with males showing higher rates compared to females. Significant disparities exist among different countries and regions, with India, China, and Mexico emerging as the countries with the highest number of new cases. Nicaragua, Mexico, and the United Arab Emirates have the highest age-standardized incidence rates, whereas Uganda, Ethiopia, and Burundi have the lowest. At the age level, the burden of CKD-T2DM exhibits varying trends among different age groups but generally shows an upward trajectory, particularly in the 45–49 age bracket. High systolic blood pressure and high BMI stand as the primary contributing factors to mortality and DALYs, with variations in their influence observed across different regions and levels of development. Interpretationver the past 20 years, the burden of CKD-T2DM among young and middle-aged individuals globally has continued to increase, with disparities existing among different countries, regions, and age groups, but overall showing an upward trend. The reasons for this trend are multifaceted, including global lifestyle changes such as dietary shifts, sedentary lifestyles, obesity, as well as population aging and inadequate preventive measures in certain regions. Addressing these challenges necessitates optimizing screening methods, adjusting lifestyles, enhancing management strategies, improving medical care and awareness levels, particularly intensifying awareness and screening efforts among males, reinforcing prevention and control measures for the 45–49 age group, enhancing infrastructure and healthcare resources in developing countries, fostering international collaboration, and implementing context-specific measures.

A Position Statement on Diabetes with β-Cell Failure

Diabetes mellitus is a heterogeneous disease that encompasses a wide range of conditions, from mild cases to severe conditions where survival depends on insulin therapy. The Korean Diabetes Association Task Force Team for Diabetes with β-Cell Failure has established the term to classify severe refractory disease with β-cell failure. Individuals with β-cell failure are at high risk of diabetes-related complications. We propose that diabetes with β-cell failure can be diagnosed when individuals treated with multiple daily insulin injections or insulin pumps meet at least one of the following criteria: fasting C-peptide ≤ 0.6 ng/mL, non-fasting C-peptide ≤ 1.8 ng/mL, 24-hour urine C-peptide &lt; 30 μg/day, or spot urine C-peptide/creatinine ratio ≤ 0.6 nmol/mmol. Among cases of diabetes with β-cell failure, β-cell failure with absolute insulin deficiency can be diagnosed when at least one of the following criteria is met: fasting C-peptide &lt; 0.24 ng/mL, non-fasting C-peptide &lt; 0.6 ng/mL, or spot urine C-peptide/ creatinine ratio &lt; 0.2 nmol/mmol. Multiple daily insulin injections with long-acting insulin analogs and rapid-acting insulin analogs or insulin pumps are required for treatment of diabetes with β-cell failure. Continuous glucose monitoring and an automated insulin delivery system, sensor-augmented pump, or smart insulin pen, along with structured education, are necessary. We call for improvements in the relevant systems to ensure that such treatments can be provided.

Identification of proteins associated with type 2 diabetes risk in diverse racial and ethnic populations.

Several studies have reported associations between specific proteins and type 2 diabetes risk in European populations. To better understand the role played by proteins in type 2 diabetes aetiology across diverse populations, we conducted a large proteome-wide association study using genetic instruments across four racial and ethnic groups: African; Asian; Hispanic/Latino; and European. Genome and plasma proteome data from the Multi-Ethnic Study of Atherosclerosis (MESA) study involving 182 African, 69 Asian, 284 Hispanic/Latino and 409 European individuals residing in the USA were used to establish protein prediction models by using potentially associated cis- and trans-SNPs. The models were applied to genome-wide association study summary statistics of 250,127 type 2 diabetes cases and 1,222,941 controls from different racial and ethnic populations. We identified three, 44 and one protein associated with type 2 diabetes risk in Asian, European and Hispanic/Latino populations, respectively. Meta-analysis identified 40 proteins associated with type 2 diabetes risk across the populations, including well-established as well as novel proteins not yet implicated in type 2 diabetes development. Our study improves our understanding of the aetiology of type 2 diabetes in diverse populations. The summary statistics of multi-ethnic type 2 diabetes GWAS of MVP, DIAMANTE, Biobank Japan and other studies are available from The database of Genotypes and Phenotypes (dbGaP) under accession number phs001672.v3.p1. MESA genetic, proteome and covariate data can be accessed through dbGaP under phs000209.v13.p3. All code is available on GitHub ( https://github.com/Arthur1021/MESA-1K-PWAS ).

Combined Anti-Diabetic and Wound Healing Effects of Binahung Leaf (Basella rubra L.) and Snakehead Fish (Channa striata) Extracts in Alloxan-Induced High-Fat Diet Rats

Diabetes mellitus is a metabolic disease that continues to increase in the world. Lifestyle factors cause diabetes cases to increase uncontrollably. The development of medicines based on natural ingredients has become a subject of study for researchers throughout the world. Meanwhile, binahong leaf extract contains flavonoids and saponins, which can reduce the absorption of glucose. Snakehead fish extract containing albumin also influences the reduction of diabetic wounds. The combination of binahong and snakehead fish extract is expected to synergistically lower blood glucose levels and cure diabetic wounds. Therefore, this study aimed to determine the anti-diabetic and wound healing activity resulting from the combination of binahong leaf and snakehead fish extract in rat models of diabetes induced with alloxan and fat diet. The test animals were divided into six groups with five per group, namely normal, positive, and negative control, as well as dose 1 (snakehead fish 250 mg/kg and binahong extract 100 mg/kg), dose 2 (snakehead fish 250 mg/kg and binahong extract 300 mg/kg), and a single dose of snakehead fish extract 500 mg/kg. The experiment was conducted for 21 days by administering the test solution once a day. The results showed that administering a combination of binahong extract at a dose of 100 mg/kg and snakehead fish at a dose of 500 mg/kg significantly reduced blood glucose levels in diabetic rats (p≤0.05). Treatment using a combination of the two extracts was more effective in lowering blood sugar levels compared to a single dose of snakehead fish extract.

Developing an automated algorithm for identification of children and adolescents with diabetes using electronic health records from the OneFlorida+ clinical research network.

To develop an automated computable phenotype (CP) algorithm for identifying diabetes cases in children and adolescents usingelectronic health records (EHRs) from the UF Health System. The CP algorithm was iteratively derived based on structured data from EHRs (UF Health System 2012-2020). We randomly selected 536 presumed cases among individuals aged <18 years who had (1) glycated haemoglobin levels ≥ 6.5%; or (2) fasting glucose levels ≥126 mg/dL; or (3) random plasma glucose levels ≥200 mg/dL; or (4) a diabetes-related diagnosis code from an inpatient or outpatient encounter; or (5) prescribed, administered, or dispensed diabetes-related medication. Four reviewers independently reviewed the patient charts to determine diabetes status and type. Presumed cases without type 1 (T1D) or type 2 diabetes (T2D) diagnosis codes were categorized as non-diabetes/other types of diabetes. The rest were categorized as T1D if the most recent diagnosis was T1D, or otherwise categorized as T2D if the most recent diagnosis was T2D. Next, we applied a list of diagnoses and procedures that can determine diabetes type (e.g., steroid use suggests induced diabetes) to correct misclassifications from Step 1. Among the 536 reviewed cases, 159 and 64 had T1D and T2D, respectively. The sensitivity, specificity, and positive predictive values of the CP algorithm were 94%, 98% and 96%, respectively, for T1D and 95%, 95% and 73% for T2D. We developed a highly accurate EHR-based CP for diabetes in youth based on EHR data from UF Health. Consistent with prior studies, T2D was more difficult to identify using these methods.

Monogenic Defects of Beta Cell Function: From Clinical Suspicion to Genetic Diagnosis and Management of Rare Types of Diabetes

Monogenic defects of beta cell function refer to a group of rare disorders that are characterized by early-onset diabetes mellitus due to a single gene mutation affecting insulin secretion. It accounts for up to 5% of all pediatric diabetes cases and includes transient or permanent neonatal diabetes, maturity-onset diabetes of the young (MODY), and various syndromes associated with diabetes. Causative mutations have been identified in genes regulating the development or function of the pancreatic beta cells responsible for normal insulin production and/or release. To date, more than 40 monogenic diabetes subtypes have been described, with those caused by mutations in HNF1A and GCK genes being the most prevalent. Despite being caused by a single gene mutation, each type of monogenic diabetes, especially MODY, can appear with various clinical phenotypes, even among members of the same family. This clinical heterogeneity, its rarity, and the fact that it shares some features with more common types of diabetes, can make the clinical diagnosis of monogenic diabetes rather challenging. Indeed, several cases of MODY or syndromic diabetes are accurately diagnosed in adulthood, after having been mislabeled as type 1 or type 2 diabetes. The recent widespread use of more reliable sequencing techniques has improved monogenic diabetes diagnosis, which is important to guide appropriate treatment and genetic counselling. The current review aims to summarize the latest knowledge on the clinical presentation, genetic confirmation, and therapeutic approach of the various forms of monogenic defects of beta cell function, using three imaginary clinical scenarios and highlighting clinical and laboratory features that can guide the clinician in reaching the correct diagnosis.

Exploring the Potential of Moringa Oleifera Phytochemicals as Inhibitors of Dipeptidyl Peptidase-4 (DPP-4) in Diabetes Mellitus: A Molecular Docking Approach

Abstract Diabetes mellitus (DM) is a global health concern characterized by chronic hyperglycemia due to defects in insulin secretion, insulin action, or both. Type 2 diabetes (T2DM), the most prevalent form, is largely driven by obesity and a sedentary lifestyle, contributing to over 95% of diabetes cases worldwide. The current treatment regimens for T2DM, including Dipeptidyl Peptidase-4 (DPP-4) inhibitors, aim to enhance insulin secretion but are often associated with adverse side effects. This has intensified the search for natural, safer alternatives with comparable efficacy. Moringa oleifera, a highly valued plant with an extensive history in traditional medicine, has shown promising antidiabetic properties. This research explores the potential of Moringa oleifera-derived phytochemicals as natural DPP-4 inhibitors using in-silico molecular docking techniques. The study identifies and evaluates the binding affinities of these phytochemicals to the DPP-4 enzyme, aiming to predict their inhibitory potential and minimal side effects, thereby contributing to the development of novel, safer hypoglycemic drugs. The results indicate the compounds’ potential as effective DPP-4 inhibitors with promising hypoglycemic properties. Specifically, piceatannol exhibited the highest binding affinity of -7.9 kcal/mol, whereas vanillic acid had the lowest at -5.7 kcal/mol. This study underscores the potential of Moringa oleifera as a natural, safer alternative in the development of novel anti-diabetic drugs, contributing to the growing body of research on plant-based therapeutics for diabetes management.

Dysbiosis and Regulation of Gut Microbiota in Type 2 Diabetes Mellitus.

Type 2 diabetes mellitus is a serious metabolic disease having a high growth rate and becoming a global threat. An unhealthy lifestyle, food intake, and genetic susceptibility are the major factors responsible for this metabolic disorder. This disease results in hyperlipidemia, hyperglycemia, glucose intolerance, restricted insulin synthesis, and insulin resistance. Despite a variety of treatments currently available, cases of diabetes and resulting complications are on the rise. One promising approach to diabetes focuses on gut microflora and their associated metabolites. Gut microbiota has attracted widespread attention due to its crucial role in disease pathophysiology. This study explores the dysbiosis in the human gut microflora in Type 2 Diabetes Mellitus and how the gut microbiota influences metabolites related to T2DM. It also sheds light on early identification and targeted intervention for this. Understanding these mechanisms could potentially lead to more effective strategies for managing and preventing T2DM. The findings of our literature study are that gut microbiota can serve as biomarkers for early disease detection. Finally, we also highlight gut microecological therapeutic strategies focused on shaping the gut flora to emphasize the improvement of T2DM progression.