Type 2 diabetes currently accounts for over 100 billion dollars in annual healthcare expenditure in the United States and 28% of the national (Medicare) healthcare budget for elderly Americans. In our inner-city hospital, 20% of all 950 beds are occupied by patients with diabetes; and 28-38% of patients receiving cardiac care in Coronary Care Units, catheterization laboratories or cardiovascular surgery, have diabetes as an underlying disorder. Both computer modelling and controlled clinical trials suggest that intensive therapy of diabetes can reduce significantly the morbidity and costs associated with this increasingly common disorder. Early detection of carbohydrate intolerance holds great promise for preventing the onset, progression and complications of Type 2 diabetes. To date our efforts have been futile, with 20% of newly diagnosed Type 2 diabetic patients already complicated by retinopathy and 14% complicated by peripheral vascular disease. It is now clear that high-risk individuals can be identified, and intervention trials are underway to test the hypothesis that Type 2 diabetes (and its attendant cardiovascular risks) can be prevented. The Study to Prevent Non-Insulin-Dependent Diabetes Mellitus (STOP NIDDM) in Canada and Europe has randomized 1200 individuals with impaired glucose tolerance (IGT) into a three-year trial to prevent disease progression. The Diabetes Prevention Program (DPP) in the US has randomized almost 3000 individuals with IGT into a six-year, three-arm study testing the efficacy of intensive lifestyle and pharmacological therapy in disease progression. Together, these studies should provide a public health model for the recognition of high-risk individuals and interventions to stem the epidemic of Type 2 diabetes. For those patients suffering with Type 2 diabetes already, pancreas transplantation remains an extreme intervention with the potential for 'curing' diabetes. Although applied usually to patients with Type 1 diabetes, experience is accumulating of transplantation in Type 2 diabetic patients with end-stage renal disease. Outcomes for these individuals are as good as for Type 1 diabetes. Islet-cell transplants, in fact, have been more successful in Type 2 diabetes compared with Type 1. Improved islet-cell availability, better immunosuppression, and the possibility of antigen masking make this technology a major hope for the future.
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http://dx.doi.org/10.1002/(sici)1096-9136(1998120)15:4+ | DOI Listing |
Cell Commun Signal
January 2025
Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
One hallmark of cancer is the upregulation and dependency on glucose metabolism to fuel macromolecule biosynthesis and rapid proliferation. Despite significant pre-clinical effort to exploit this pathway, additional mechanistic insights are necessary to prioritize the diversity of metabolic adaptations upon acute loss of glucose metabolism. Here, we investigated a potent small molecule inhibitor to Class I glucose transporters, KL-11743, using glycolytic leukemia cell lines and patient-based model systems.
View Article and Find Full Text PDFLipids Health Dis
January 2025
Department of Cardiology, West China Hospital, Sichuan University West China School of Medicine, 37 Guoxue Road, Chengdu, Sichuan, 610041, China.
Background: Atrial fibrillation (AF) is the most prevalent arrhythmia encountered in clinical practice. Triglyceride glucose index (Tyg), a convenient evaluation variable for insulin resistance, has shown associations with adverse cardiovascular outcomes. However, studies on the Tyg index's predictive value for adverse prognosis in patients with AF without diabetes are lacking.
View Article and Find Full Text PDFBMC Public Health
January 2025
School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No.13, Hangkong Road, Qiaokou District, Wuhan City, 430030, China.
Objective: Understanding healthcare-seeking propensity is crucial for optimizing healthcare utilization, especially for patients with chronic conditions like hypertension or diabetes, given their substantial burden on healthcare systems globally. This study aims to evaluate hypertensive or diabetic patients' healthcare-seeking propensity based on the severity of symptoms, categorizing symptoms as either major or minor. It also explores factors influencing healthcare-seeking propensity and examines whether healthcare-seeking propensity affects healthcare utilization and preventable hospitalizations.
View Article and Find Full Text PDFBMC Endocr Disord
January 2025
Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Background: The Weight-adjusted-waist index (WWI) has emerged as a predictive factor for a range of metabolic disorders. To date, the predictive value of the WWI in relation to sarcopenia in individuals with diabetics has not been extensively explored. This study aims to investigate the impact of the WWI on the prevalence of sarcopenia among patients with type 2 diabetes mellitus (T2DM).
View Article and Find Full Text PDFChin Med J (Engl)
January 2025
Department of Metabolism and Endocrinology, National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China.
Background: Approximately 40% of individuals with diabetes worldwide are at risk of developing diabetic kidney disease (DKD), which is not only the leading cause of kidney failure, but also significantly increases the risk of cardiovascular disease, causing significant societal health and financial burdens. This study aimed to describe the burden of DKD and explore its cross-country epidemiological status, predict development trends, and assess its risk factors and sociodemographic transitions.
Methods: Based on the Global Burden of Diseases (GBD) Study 2021, data on DKD due to type 1 diabetes (DKD-T1DM) and type 2 diabetes (DKD-T2DM) were analyzed by sex, age, year, and location.
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