Glucose-regulated phosphorylation of TET2 by AMPK reveals a pathway linking diabetes to cancer.

Diabetes is a complex metabolic syndrome that is characterized by prolonged high blood glucose levels and frequently associated with life-threatening complications1,2. Epidemiological studies have suggested that diabetes is also linked to an increased risk of cancer3-5. High glucose levels may be a prevailing factor that contributes to the link between diabetes and cancer, but little is known about the molecular basis of this link and how the high glucose state may drive genetic and/or epigenetic alterations that result in a cancer phenotype. Here we show that hyperglycaemic conditions have an adverse effect on the DNA 5-hydroxymethylome. We identify the tumour suppressor TET2 as a substrate of the AMP-activated kinase (AMPK), which phosphorylates TET2 at serine 99, thereby stabilizing the tumour suppressor. Increased glucose levels impede AMPK-mediated phosphorylation at serine 99, which results in the destabilization of TET2 followed by dysregulation of both 5-hydroxymethylcytosine (5hmC) and the tumour suppressive function of TET2 in vitro and in vivo. Treatment with the anti-diabetic drug metformin protects AMPK-mediated phosphorylation of serine 99, thereby increasing TET2 stability and 5hmC levels. These findings define a novel 'phospho-switch' that regulates TET2 stability and a regulatory pathway that links glucose and AMPK to TET2 and 5hmC, which connects diabetes to cancer. Our data also unravel an epigenetic pathway by which metformin mediates tumour suppression. Thus, this study presents a new model for how a pernicious environment can directly reprogram the epigenome towards an oncogenic state, offering a potential strategy for cancer prevention and treatment.

Patient and Provider Views on Psychosocial Screening in a Comprehensive Diabetes Center.

Guidelines recommend routinely screening adults with diabetes for psychological concerns, but few diabetes clinics have adopted screening procedures. This study assessed patient and provider perspectives regarding the role of mental health in diabetes care, psychosocial screening procedures, and patients' support needs. Patients with diabetes (n = 15; 73.3% type 2) and their medical providers (n = 11) participated in qualitative interviews. Thematic content analysis was used to categorize results. Participants believed that mental health was important to address within comprehensive diabetes care. Patients expressed positive or neutral opinions about psychosocial screening. Providers had mixed reactions; many thought that screening would be too time-consuming. Both groups emphasized that screening must include referral procedures to direct patients to mental health services. Patients and providers interviewed in this study viewed psychosocial screening as compatible with diabetes care. Including a mental health professional on the treatment team could reduce potential burden on other team members.

American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.

OBJECTIVE: The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers. METHODS: The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development. RESULTS: This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes. CONCLUSIONS: This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.

Perioperative Management of Diabetes Mellitus: Novel Approaches.

PURPOSE OF REVIEW: Several studies have demonstrated the benefits of glycemic control in the perioperative period and there is ongoing interest in development of systematic approaches to achieving glycemic control. This review discusses currently available data and proposes a new approach to the management of hyperglycemia in the perioperative period. RECENT FINDINGS: In a recent study, we demonstrated that early preoperative identification of patients with poorly controlled diabetes and proactive treatment through various phases of surgery improves glycemic control, lowers the risk of surgical complications, and decreases the length of hospital stay. Implementation of a perioperative diabetes program that systematically identifies and treats patients with poor glycemic control early in the preoperative period is feasible and improves clinical care of patients undergoing elective surgery.

DE-INTENSIFICATION OF DIABETES TREATMENT IN ELDERLY PATIENTS WITH TYPE 2 DIABETES MELLITUS.

Objective: De-intensification of diabetes treatment is recommended in elderly patients with tight glycemic control at high risk of hypoglycemia. However, rates of de-intensification in endocrine practice are unknown. We conducted a retrospective study to evaluate the rate of de-intensification of antidiabetic treatment in elderly patients with type 2 diabetes mellitus (T2DM) and tight glycemic control. Methods: All patients with ≥2 clinic visits over a 1-year period at a major academic diabetes center were included. De-intensification of diabetes treatment was defined as a decrease or discontinuation of any antidiabetic drug without adding another drug, or a reduction in the total daily dose of insulin or a sulfonylurea drug with or without adding a drug without risk of hypoglycemia. Results: Out of 3,186 unique patients, 492 were ≥65 years old with T2DM and hemoglobin A1c (HbA1c) <7.5% (<58 mmol/mol). We found 308 patients treated with a sulfonylurea drug or insulin, 102 of whom had hypoglycemia as per physician note. Among these 102 patients, 38 (37%) were advised to de-intensify therapy. In a subgroup analysis of patients ≥75 years old with HbA1c <7% (<53 mmol/mol), we found that out of 23 patients treated with a sulfonylurea drug or insulin and reporting hypoglycemia, 11 (43%) were advised de-intensification of therapy. There were no significant predictors of de-intensification of treatment. Conclusion: Our study suggests that de-intensification of antidiabetic medications is uncommon in elderly patients with T2DM. Strategies may need to be developed to prevent the potential harm of overtreatment in this population. Abbreviations: ADA = American Diabetes Association; CGM = continuous glucose monitoring; HbA1c = hemoglobin A1c; T2DM = type 2 diabetes mellitus; UKPDS = United Kingdom Prospective Diabetes Study.

Effect of Preoperative Diabetes Management on Glycemic Control and Clinical Outcomes After Elective Surgery.

OBJECTIVE: The aim of this study was to evaluate whether preoperative diabetes management can improve glycemic control and clinical outcomes after elective surgery. BACKGROUND: There is lack of data on the importance of diabetes treatment before elective surgery. Diabetes is often ignored before surgery and aggressively treated afterwards. METHODS: Patients with diabetes were identified and treated proactively before their scheduled surgeries. Data for all elective surgeries over 2 years before and 2 years after implementation of the program were collected. RESULTS: Out of 31,392 patients undergoing first surgery, 3909 had diabetes; 2072 before and 1835 after the program. Mean blood glucose on the day of surgery was 146.4 ±â€Š51.9 mg/dL before and 139.9 ±â€Š45.6 mg/dL after the program (P = 0.0028). Proportion of patients seen by the inpatient diabetes team increased. Mean blood glucose during hospital stay was 166.7 ±â€Š42.9 mg/dL before and 158.3 ±â€Š46.6 mg/dL after program (P < 0.0001). The proportion of patients with hypoglycemic episodes (<50 mg/dL) was 4.93% before and 2.48% after the program (P < 0.0001). Length of hospital stay (LOS) decreased among patients with diabetes (4.8 ±â€Š5.3 to 4.6 ±â€Š4.3 days; P = 0.01) and remained unchanged among patients without diabetes (4.0 ±â€Š4.5 and 4.1 ±â€Š4.8, respectively; P = 0.42). Changes in intravenous antibiotic use, patients discharged to home, renal insufficiency, myocardial infarction, stroke, and in-hospital mortality were similar among diabetic and nondiabetic groups. CONCLUSIONS: Preoperative and inpatient diabetes management improves glycemic control on the day of surgery and postoperatively and decreases the incidence of hypoglycemia. These changes may eventually improve clinical outcomes. Although statistically significant, the decrease in LOS was of equivocal clinical significance in this study.

Management of Hyperglycemia and Diabetes in the Emergency Department.

PURPOSE OF REVIEW: Hyperglycemia in the emergency department (ED) is being recognized as a public health problem and presents a clinical challenge. This review critically summarizes available evidence on the burden, etiology, diagnosis, and practical management strategies for hyperglycemia in the ED. RECENT FINDINGS: Diabetic ketoacidosis (DKA) and hyperglycemic hyperosmolar state (HHS) are hyperglycemic emergencies that commonly present to the ED. However, the most common form of hyperglycemia in ED is associated with non-hyperglycemic medical emergencies. The presence of hyperglycemia increases the mortality and morbidity associated with the primary condition. The related hospital admission rates and costs are also elevated. The frequency of DKA or HHS related mortality and morbidity has remained high over the last decade. However, attempts have been made to improve management of all hyperglycemia in the ED. Evidence suggests that better management of hyperglycemia in the ED with proper follow-up improves clinical outcomes and prevents readmission. Optimization of the hyperglycemia management in the ED may improve clinical outcomes. However, more clinical trial data on the outcomes and cost-effectiveness of various management strategies or protocols are needed.

MANAGEMENT OF TYPE 2 DIABETES: ARE WE MAKING PROGRESS?

ABBREVIATIONS: HbA1c = glycated hemoglobin.

Aldosterone and the Mineralocorticoid Receptor: Risk Factors for Cardiometabolic Disorders.

Preclinical studies have convincingly demonstrated a role for the mineralocorticoid receptor (MR) in adipose tissue physiology. These studies show that increased MR activation causes adipocyte dysfunction leading to decreased production of insulin-sensitizing products and increased production of inflammatory factors, creating an environment conducive to metabolic and cardiovascular disease. Accumulating data also suggest that MR activation may be an important link between obesity and metabolic syndrome. Moreover, MR activation may mediate the pathogenic consequences of metabolic syndrome. Recent attempts at reversing cardiometabolic damage in patients with type 2 diabetes using MR antagonists have shown promising results. MR antagonists are already used to treat heart failure where their use decreases mortality and morbidity over and above the use of traditional therapies alone. However, more data are needed to establish the benefits of MR antagonists in diabetes, obesity, and metabolic syndrome.

Early Identification of Individuals with Poorly Controlled Diabetes Undergoing Elective Surgery: Improving A1C Testing in the Preoperative Period.

OBJECTIVE: To describe a process improvement strategy that increased the identification of individuals with poorly controlled diabetes (glycated hemoglobin [A1C] ≥8%) undergoing elective surgery at a major academic medical center and increased their access to specialist care. METHODS: An algorithm was developed to ensure A1C measurements were obtained as per the American Association of Clinical Endocrinologists/American Diabetes Association (AACE/ADA) guidelines. The diabetes management team worked collaboratively with anesthesiologists, surgeons, and preoperative nurse practitioners to improve the glycemic control of patients with an A1C ≥8%. RESULTS: Before implementing the program, A1C testing was recorded in 854 out of 2,335 (37%) patients with diabetes seen in the preoperative clinic from January 1, 2011 to December 31, 2012. The program was instituted in February 2013. From February 2013 to February 2014, A1C testing occurred in 1,236 out of 1,334 (93%) patients with diabetes. After excluding those scheduled for same day surgery, 228 patients were considered high risk with A1C ≥8%, and 175 were available for endocrine preoperative consultation. The program led to significant blood glucose level improvements on the day of surgery. CONCLUSION: A process improvement strategy to evaluate and treat diabetes in the preoperative period of elective surgery patients was implemented by a multidisciplinary team (endocrinologists, nurse practitioners, anesthesiologists, and surgeons) and resulted in a substantial improvements in obtaining A1C tests, access to specialist diabetes care, and glycemic control on the day of surgery. The impact of improved glycemic control on hospital and surgical outcomes needs further evaluation.

Glycemic management in ESRD and earlier stages of CKD.

The management of hyperglycemia in patients with kidney failure is complex, and the goals and methods regarding glycemic control in chronic kidney disease (CKD) are not clearly defined. Although aggressive glycemic control seems to be advantageous in early diabetic nephropathy, outcome data supporting tight glycemic control in patients with advanced CKD (including end-stage renal disease [ESRD]) are lacking. Challenges in the management of such patients include therapeutic inertia, monitoring difficulties, and the complexity of available treatments. In this article, we review the alterations in glucose homeostasis that occur in kidney failure, current views on the value of glycemic control and issues with its determination, and more recent approaches to monitor or measure glycemic control. Hypoglycemia and treatment options for patients with diabetes and ESRD or earlier stages of CKD also are addressed, discussing the insulin and noninsulin agents that currently are available, along with their indications and contraindications. The article provides information to help clinicians in decision making in order to provide individualized glycemic goals and appropriate therapy for patients with ESRD or earlier stages of CKD.

Predictors of lack of glycemic control in persons with type 2 diabetes.

BACKGROUND: Professional guidelines recommend an HbA1c < 7% for most people with diabetes and < 8.5% for those with relaxed glycemic goals. However, many people with type 2 diabetes mellitus (T2DM) are unable to achieve the desired HbA1c goal. This study evaluated factors associated with lack of improvement in HbA1c over 3 years. METHODS: All patients with T2DM treated within a major academic healthcare system during 2015-2020, who had at least one HbA1c value > 8.5% within 3 years from their last HbA1c were included in analysis. Patients were grouped as improved glycemic control (last HbA1c ≤ 8.5%) or lack of improvement (last HbA1c > 8.5%). Multivariate logistic regression analysis was performed to assess independent predictors of lack of improvement in glycemic control. RESULTS: Out of 2,232 patients who met the inclusion criteria, 1,383 had an improvement in HbA1c while 849 did not. In the fully adjusted model, independent predictors of lack of improvement included: younger age (odds ratio, 0.89 per 1-SD [12 years]; 95% CI, 0.79-1.00), female gender (1.30, 1.08-1.56), presence of hypertension (1.29, 1.08-1.55), belonging to Black race (1.32, 1.04-1.68, White as reference), living in low income area (1.86,1.28-2.68, high income area as reference), and insurance coverage other than Medicare (1.32, 1.05-1.66). Presence of current smoking was associated with a paradoxical improvement in HbA1c (0.69, 0.47-0.99). In a subgroup analysis, comparing those with all subsequent HbA1c values > 8.5% (N = 444) to those with all subsequent HbA1c values < 8.5% (N = 341), similar factors were associated with lack of improvement, but smoking was no longer significant. CONCLUSION: We conclude that socioeconomic factors like race, type of insurance coverage and living in low-income areas are associated with lack of improvement in HbA1c over a period of 3-years in people with T2DM. Intervention strategies focused on low-income neighborhoods need to be designed to improve diabetes management.

Impact of Glucose-Lowering Medications on Health-Related Quality of Life in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE).

OBJECTIVE: Diabetes is associated with reduced health-related quality of life (HRQoL). Information on the relationship between HRQoL and glucose-lowering medications in recently diagnosed type 2 diabetes (T2D) is limited. We assessed changes in HRQoL in participants with T2D receiving metformin plus one of four glucose-lowering medications in Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE). RESEARCH DESIGN AND METHODS: A total of 5,047 participants, baseline mean age 57 years, with <10 years T2D duration and glycated hemoglobin level 6.8-8.5% and taking metformin monotherapy, were randomly assigned to glargine, glimepiride, liraglutide, or sitagliptin. HRQoL was evaluated at baseline for 4,885 participants, and at years 1, 2, and 3, with use of the self-administered version of the Quality of Well-being Scale (QWB-SA) and SF-36 physical (PCS) and mental (MCS) component summary scales. Linear models were used to analyze changes in HRQoL over time in intention-to-treat analyses. RESULTS: None of the medications worsened HRQoL. There were no differences in QWB-SA or MCS by treatment group at any time point. PCS scores improved with liraglutide versus other groups at year 1 only. Greater weight loss during year 1 explained half the improvement in PCS scores with liraglutide versus glargine and glimepiride. Liraglutide participants in the upper tertile of baseline BMI showed the greatest improvement in PCS scores at year 1. CONCLUSIONS: Adding liraglutide to metformin in participants within 10 years of T2D diagnosis showed improvement in the SF-36 PCS in comparisons with the other medications at 1 year, which was no longer significant at years 2 and 3. Improvement was related to weight loss and baseline BMI.

Predictors of readmission and mortality in adults with diabetes or stress hyperglycemia after initial hospitalization for COVID-19.

INTRODUCTION: We previously reported predictors of mortality in 1786 adults with diabetes or stress hyperglycemia (glucose>180 mg/dL twice in 24 hours) admitted with COVID-19 from March 2020 to February 2021 to five university hospitals. Here, we examine predictors of readmission. RESEARCH DESIGN AND METHODS: Data were collected locally through retrospective reviews of electronic medical records from 1786 adults with diabetes or stress hyperglycemia who had a hemoglobin A1c (HbA1c) test on initial admission with COVID-19 infection or within 3 months prior to initial admission. Data were entered into a Research Electronic Data Capture (REDCap) web-based repository, and de-identified. Descriptive data are shown as mean±SD, per cent (%) or median (IQR). Student's t-test was used for comparing continuous variables with normal distribution and Mann-Whitney U test was used for data not normally distributed. X2 test was used for categorical variable. RESULTS: Of 1502 patients who were alive after initial hospitalization, 19.4% were readmitted; 90.3% within 30 days (median (IQR) 4 (0-14) days). Older age, lower estimated glomerular filtration rate (eGFR), comorbidities, intensive care unit (ICU) admission, mechanical ventilation, diabetic ketoacidosis (DKA), and longer length of stay (LOS) during the initial hospitalization were associated with readmission. Higher HbA1c, glycemic gap, or body mass index (BMI) were not associated with readmission. Mortality during readmission was 8.0% (n=23). Those who died were older than those who survived (74.9±9.5 vs 65.2±14.4 years, p=0.002) and more likely had DKA during the first hospitalization (p<0.001). Shorter LOS during the initial admission was associated with ICU stay during readmission, suggesting that a subset of patients may have been initially discharged prematurely. CONCLUSIONS: Understanding predictors of readmission after initial hospitalization for COVID-19, including older age, lower eGFR, comorbidities, ICU admission, mechanical ventilation, statin use and DKA but not HbA1c, glycemic gap or BMI, can help guide treatment approaches and future research in adults with diabetes.

Euglycemic diabetic ketoacidosis in the era of SGLT-2 inhibitors.

Euglycemic diabetic ketoacidosis (EDKA) is an emerging complication of diabetes associated with an increasing use of sodium-glucose transporter type 2 (SGLT-2) inhibitor drugs. This review highlights the growing incidence of EDKA and its diagnostic challenges due to the absence of hallmark hyperglycemia seen in diabetic ketoacidosis (DKA). The paper presents a classification system for the severity of EDKA, categorizing it into mild, moderate, and severe based on serum pH and bicarbonate levels. Another classification system is proposed to define stages of EDKA based on anion gap and ketones at the time of diagnosis and during the treatment period. A treatment algorithm is proposed to guide clinicians in managing EDKA. This treatment algorithm includes monitoring anion gap and ketones to guide insulin and fluid management, and slower transition to subcutaneous insulin to prevent a relapse. Increased awareness of EDKA is essential for a timely diagnosis because an early diagnosis and treatment can improve clinical outcomes.

Body Fat Distribution in Lean Individuals with Metabolic Abnormalities.

Objective: Obesity, defined as body mass index (BMI) >30 kilogram/m2 is associated with metabolic derangements, but lean individuals with BMI <25 kilogram/m2 may also have metabolic abnormalities. This study was conducted to evaluate fat distribution in metabolically unhealthy lean (MUL) individuals. Methods: Adults with BMI 18.5-24.9 kilogram/m2 had their body composition evaluated with dual-energy X-ray absorptiometry. Metabolic data were obtained from their medical records. Patients with ≥2 components of the metabolic syndrome (MetS) were considered MUL and those with ≤1 component metabolically healthy lean (MHL). Multivariable logistic regression was used to analyze the association between metabolic abnormalities and anthropometric indexes. Results: The study includes 119 subjects; 69 in MHL and 50 in the MUL group. Two groups had comparable total body fat, fat mass index, and appendicular lean mass. Indices of visceral fat were associated with increased odds of being MUL (odds ratio with 95% confidence interval): visceral adipose tissue 1.75 (1.13-2.73), trunk-to-legs fat ratio 2.28 (1.30-4.00), trunk-to-limb fat ratio 2.43 (1.37-4.32), android-to-gynoid fat ratio 1.80 (1.07-3.03), and visceral-to-total fat percentage 1.80 (1.07-3.05). Conclusion: Metabolically unhealthy subjects had increased truncal distribution of body fat without an increase in total body fat. Body morphometry in MUL was similar to that of obese individuals with MetS.