The global agenda for the prevention of type 2 diabetes

The Role of Digital Health Technology Interventions in the Prevention of Type 2 Diabetes Mellitus: A Systematic Review

Objectives

Diabetes in the 21st century presents one of the greatest burdens of disease on the global population. Digitally mediated interventions have become imperative in alleviating this disease epidemic. We aimed to systematically review randomized controlled trials (RCTs) on different health technologies for preventing Type 2 diabetes mellitus, and their efficacy in decreasing diabetes risk-related outcomes in at-risk patients in comparison to standard care.

Methods

Five electronic databases were searched between October 2021 and December 2022. Studies including digital health technology interventions used for preventing diabetes development by reducing diabetes risk-related outcomes in at-risk adults (⩾18 years) were identified. Data on glycemic levels, incidence of T2DM, weight, and intervention descriptions were extracted, and the risk of bias (ROB) was assessed.

Results

Nine studies met the inclusion criteria and 5 studies (56%) achieved clinically significant outcomes in at least one of the following: decreased weight (22%), glycemic levels (22%), or incidence of T2DM (11%). Two of the 3 (67%) computer-based interventions effectively reduced the HbA1c levels and mean weight of their study population, and 3 of 6 (50%) mobile based interventions (text messages, mobile app, and telehealth) decreased the incidence of T2DM and HbA1c levels. Four studies each had an overall low ROB and one had a high ROB due to attrition.

Conclusion

Preliminary evidence identified in our review demonstrated that health technologies for diabetes prevention are effective for improving diabetes risk-related outcomes. Future research into digital technology protocol and studies of longer duration and more diverse populations are needed for clinical feasibility.

Impact of different severity hyperglycemia on erythrocyte rheological properties1

BACKGROUND

The triad "insulin resistance, prediabetes, diabetes" is three independent neologies with characteristic features and development. In addition, each are characterized by progression and the possibility of transition from one form to other. Due to the fact that diabetes is one of the common diseases associated with high rates of disability, it is necessary to improve diagnostic methods and educational regimens for successful prevention and treatment of the disease.

OBJECTIVE

We investigated Band 3 protein (B3p) level, osmotic resistance of erythrocytes, the total antioxidant activity (TAA) of blood serum, level of HbA1 in group patients with insulin resistance (IR), prediabetes, and Type 2 Diabetes Mellitus (T2DM) and comparative with health control group.

METHODS

We used original, accurate research methods that measure the essence of the studied quantities.

RESULTS

Disruptions of glucose and insulin homeostasis ay lead to the initiation of oxidative stress (in our study demonstrated by a decrease of TAA of blood serum) increased redox-sensitive PTP activity and aberrant band 3 phosphorylation, potentially leading to reduced erythrocyte deformability. At the same time glycation of Hb during T2DM may affect its cross-link with membrane proteins, in particular with B3p, and although appears to limit its cross-linking and decrease its clusterization ability, induces alterations in the cytoskeletal matrix, and thereby decrease erythrocytes' osmotic resistance making them more susceptible to hemolysis.

CONCLUSIONS

The osmotic resistance of the erythrocytes can be used as a sensitive marker for the detection of the early stages of hyperglycemia (prediabetes). This set of clinical trials will make it possible to identify diseases that make up the triad at an early stage. Early detection of disorders and continued research in this direction will help in the development of a diagnostic scheme for the prevention of such patients. Based on our data, research into anti-oxidation drugs is very important. With the help of the array of studies described in the article and antioxidant treatment, the likelihood of successful treatment will increase.

PMAT variant rs3889348 is associated with metformin-induced gastrointestinal among Chinese Type 2 diabetes patients

Aim: This study examined intronic gene variants for their association with metformin intolerance in a Chinese population, focusing on the plasma monoamine transporter (PMAT) cis-protein expression quantitative trait loci (cis-eQTL) variant rs3889348. Methods: We recruited Type 2 diabetes patients from two hospitals and identified 111 metformin-intolerant patients using a questionnaire, and selected 206 metformin-tolerant patients from 2180 Type 2 diabetes mellitus patients. Genetic testing revealed an association between adverse gastrointestinal (GI) effects and SLC22A1 and PMAT. Results: The single-nucleotide polymorphism rs3889348 is associated with metformin-induced adverse GI effects. Each additional copy of the G allele increases the score by 5.23 (95% CI: 1.82-8.64; p = 0.003). Patients taking more transporter inhibitors were more likely to respond to metformin-induced GI intolerance (p = 0.042). Conclusion: PMAT cis-eQTL rs3889348 was significantly associated with metformin-induced adverse GI effects.

Profiling of Homocysteine Metabolic Pathway Related Metabolites in Plasma of Diabetic Mellitus Based on LC-QTOF-MS

Background: Homocysteine (Hcy) has been found to be closely related to the occurrence of diabetes mellitus (DM) and is considered as one of the risk factors of DM. However, Hcy alone is not enough as a factor to predict DM, and our study analyzed and determined the relationship between the main metabolites involved in the Hcy metabolic pathway and DM. Methods: A total of 48 clinical samples were collected, including 18 health control samples and 30 DM samples. All standards and samples were detected by LC-QTOF-MS. Multivariate statistical analysis and k-means cluster analysis were performed to screen and confirm the metabolites significantly correlated with DM. Results: A total of 13 metabolites of the Hcy metabolic pathway were detected in the samples. The content of Hcy, cysteine, taurine, pyridoxamine, methionine, and choline were significantly increased in the DM group (p < 0.05). Hcy, choline, cystathionine, methionine, and taurine contributed significantly to the probabilistic principal component analysis (PPCA) model. The odds ratios (OR) of Hcy, cysteine, taurine, methionine, and choline were all greater than one. K-means cluster analysis showed that the Hcy, taurine, methionine, and choline were significantly correlated with the distribution of glucose values (divided into four levels: 10.5−11.7 mmol/L, 7.7−9.7 mmol/L, 6.0−6.9 mmol/L, and 5.0−5.9 mmol/L, respectively). Conclusion: Hcy, taurine, methionine, and choline can be used as risk factors for diabetes diagnosis and are expected to be used for the assessment of diabetes severity.

Effect of SGLT2 Inhibitors on Risk of Stroke in Diabetes: A Meta-Analysis

BACKGROUND

The effect of sodium-glucose cotransporter 2 (SGLT2) inhibitors on reducing the risk of stroke in patients with type 2 diabetes mellitus (T2DM) remains unclear. Thus, we conducted this systemic review and meta-analysis of all relevant studies and trials to explore the role of SGLT2 inhibitors on the stroke prevention.

METHODS

The present study included articles published before October 2021 and searched in Web of Science, PubMed databases. We used STATA 12.0 software to compute hazard ratio (HR) and 95% confidence interval (CI).

RESULTS

Meta-analysis indicated that SGLT2 inhibitors showed no significant effects on risk of stroke in diabetes in randomized controlled trials with a fixed effects model (HR = 0.98; 95% CI: 0.88-1.09, I2 = 22.3%, p = 0.272). Compared to other glucose-lowering drugs (oGLD) and insulin, SGLT2 inhibitors alone significantly affected risk of stroke in diabetes in observational studies with a random effects model (HR = 0.87; 95% CI: 0.80-0.95, I2 = 72.2%, p < 0.001).

CONCLUSIONS

In summary, this meta-analysis indicated that the use of SGLT2 inhibitors did not decrease the risk of stroke. And for some T2DM patients with high-risk factor of stroke, SGLT2 inhibitors therapy may be more suitable compared to some oGLD such as dipeptidyl peptidase-4 inhibitors. The results of this meta-analysis are necessary to be confirmed with further studies and clinical trials.

Derivation and Validation of a Prediction Model for Predicting the 5-Year Incidence of Type 2 Diabetes in Non-Obese Adults: A Population-Based Cohort Study

PURPOSE

The aim of this study was to derivate and validate a nomogram based on independent predictors to better evaluate the 5-year risk of T2D in non-obese adults.

PATIENTS AND METHODS

This is a historical cohort study from a collection of databases that included 12,940 non-obese participants without diabetes at baseline. All participants were randomised to a derivation cohort (n = 9651) and a validation cohort (n = 3289). In the derivation cohort, the least absolute shrinkage and selection operator (LASSO) regression model was used to determine the optimal risk factors for T2D. Multivariate Cox regression analysis was used to establish the nomogram of T2D prediction. The receiver operating characteristic (ROC) curve, C-index, calibration curve, and decision curve analysis were performed by 1000 bootstrap resamplings to evaluate the discrimination ability, calibration, and clinical practicability of the nomogram.

RESULTS

After LASSO regression analysis of the derivation cohort, it was found that age, fatty liver, γ-glutamyltranspeptidase, triglycerides, glycosylated hemoglobin A1c and fasting plasma glucose were risk predictors, which were integrated into the nomogram. The C-index of derivation cohort and validation cohort were 0.906 [95% confidence interval (CI), 0.878-0.934] and 0.837 (95% CI, 0.760-0.914), respectively. The AUC of 5-year T2D risk in the derivation cohort and validation cohort was 0.916 (95% CI, 0.889-0.943) and 0.829 (95% CI, 0.753-0.905), respectively. The calibration curve indicated that the predicted probability of nomogram is in good agreement with the actual probability. The decision curve analysis demonstrated that the predicted nomogram was clinically useful.

CONCLUSION

Our nomogram can be used as a reasonable, affordable, simple, and widely implemented tool to predict the 5-year risk of T2D in non-obese adults. With this model, early identification of high-risk individuals is helpful to timely intervene and reduce the risk of T2D in non-obese adults.

Diabetes knowledge among non-diabetic hypertensive patients in Calabar, Nigeria

INTRODUCTION

among hypertensive patients, the comorbidity of diabetes is not uncommon. Yet, little is known about diabetes prevention among non-diabetic hypertensive patients. This study sought to assess such patients' knowledge about diabetes and its risk factors.

METHODS

a cross-sectional descriptive study design and random sampling were used to recruit non-diabetic hypertensive patients from University of Calabar Teaching Hospital. A pretested 33-item questionnaire was used to assess various aspects of diabetes knowledge. Participants' alcohol consumption, smoking habits, physical activity, and fresh fruit consumption were also assessed. The p-value was set to 0.05.

RESULTS

of 212 respondents with a mean age of 45.5 ± 10.8 years, approximately half (49.1%) had inadequate knowledge of diabetes. Most participants demonstrated poor knowledge of diabetes' clinical features (81.1%) and complications (59.4%), while fewer participants showed poor knowledge of causes and risk factors (24.5%) and diabetes management (40.6%). Older subjects, those in the wards, non-drinkers, physically active people, and those who frequently consumed fresh fruit had a significantly greater understanding of diabetes symptoms and complications (p<0.05).

CONCLUSION

hypertensive patients' diabetes knowledge is generally suboptimal, with greater knowledge deficiencies being apparent in specific areas. More strategic health education initiatives are required, about minimizing the risk of developing diabetes comorbidities.

CLINICAL RECOGNITION AND MANAGEMENT OF PATIENTS WITH PREDIABETES

Objective: Early identification and management of prediabetes is critical to prevent progression to diabetes. We aimed to assess whether prediabetes is appropriately recognized and managed among patients with impaired fasting glucose (IFG). Methods: We carried out an observational study of Olmsted County residents evaluated at the Mayo Clinic between 1999-2017. We randomly selected 108 subjects with biochemical criteria of IFG and 105 normoglycemic subjects. We reviewed their health records at baseline (1999-2004) and during follow up (2005-2017) collecting demographic and clinical data including vitals, diagnoses, laboratory, and medications associated with cardiovascular comorbidities. The main outcome was documentation of any recognition of prediabetes and management recommendations (lifestyle changes and/or medications). Results: At baseline (1999-2004), 26.85% (29/108) of subjects with IFG were recognized as having prediabetes, and of these 75.86% (22/29) received management recommendations with 6.9% (2/29) getting metformin. During follow-up (2005-2017), 26.67% (28/105) of initial cohort of normoglycemic subjects developed incident IFG and of these, 85.71% (24/28) were recognized as having prediabetes, and 58.33% (14/24) received management recommendations. During the entire study period, 62.50% (85/136) were recognized as having prediabetes of which 75.29% (64/85) had documented management recommendations. High body mass index (BMI) (≥35) was associated with increased recognition (odds ratio [OR] 3.66; confidence interval [CI] 1.065, 12.500; P = .0395), and normal BMI (<25) was associated with a lack of recognition (OR 0.146; CI 0.189, 0.966; P = .0413). Conclusion: Despite evidence supporting the efficacy of lifestyle changes and medications in managing prediabetes, this condition is not fully recognized in routine clinical practice. Increased awareness of diagnostic criteria and appropriate management are essential to enhance diabetes prevention. Abbreviations: BMI = body mass index; CI = confidence interval; EHR = electronic health records; FBG = fasting blood glucose; IFG = impaired fasting glucose; IGT = impaired glucose tolerance; OR = odds ratio.

Diabetes pharmacotherapy and effects on the musculoskeletal system

Persons with type 1 or type 2 diabetes have a significantly higher fracture risk than age-matched persons without diabetes, attributed to disease-specific deficits in the microarchitecture and material properties of bone tissue. Therefore, independent effects of diabetes drugs on skeletal integrity are vitally important. Studies of incretin-based therapies have shown divergent effects of different agents on fracture risk, including detrimental, beneficial, and neutral effects. The sulfonylurea class of drugs, owing to its hypoglycemic potential, is thought to amplify the risk of fall-related fractures, particularly in the elderly. Other agents such as the biguanides may, in fact, be osteo-anabolic. In contrast, despite similarly expected anabolic properties of insulin, data suggests that insulin pharmacotherapy itself, particularly in type 2 diabetes, may be a risk factor for fracture, negatively associated with determinants of bone quality and bone strength. Finally, sodium-dependent glucose co-transporter 2 inhibitors have been associated with an increased risk of atypical fractures in select populations, and possibly with an increase in lower extremity amputation with specific SGLT2I drugs. The role of skeletal muscle, as a potential mediator and determinant of bone quality, is also a relevant area of exploration. Currently, data regarding the impact of glucose lowering medications on diabetes-related muscle atrophy is more limited, although preclinical studies suggest that various hypoglycemic agents may have either aggravating (sulfonylureas, glinides) or repairing (thiazolidinediones, biguanides, incretins) effects on skeletal muscle atrophy, thereby influencing bone quality. Hence, the therapeutic efficacy of each hypoglycemic agent must also be evaluated in light of its impact, alone or in combination, on musculoskeletal health, when determining an individualized treatment approach. Moreover, the effect of newer medications (potentially seeking expanded clinical indication into the pediatric age range) on the growing skeleton is largely unknown. Herein, we review the available literature regarding effects of diabetes pharmacotherapy, by drug class and/or by clinical indication, on the musculoskeletal health of persons with diabetes.

Potential adverse effects of botanical supplementation in high-fat-fed female mice

BACKGROUND

Insulin resistance underlies metabolic syndrome and is associated with excess adiposity and visceral fat accumulation, which is more frequently observed in males than females. However, in young females, the prevalence of metabolic syndrome is rising, mainly driven by accumulation of abdominal visceral fat. The degree to which sex-related differences could influence the development of insulin resistance remains unclear, and studies of potential therapeutic strategies to combat metabolic syndrome using rodent models have focused predominantly on males. We therefore evaluated the effects of two nutritional supplements derived from botanical sources, an extract of Artemisia dracunculus L. (termed PMI5011) and Momordica charantia (commonly known as bitter melon), on female mice challenged with a high-fat diet in order to determine if dietary intake of these supplements could ameliorate obesity-induced insulin resistance and metabolic inflexibility in skeletal muscle.

METHODS

Body composition, physical activity and energy expenditure, fatty acid oxidation, insulin signaling, and gene and protein expression of factors controlling lipid metabolism and ectopic lipid accumulation were evaluated in female mice fed a high-fat diet supplemented with either PMI5011 or bitter melon. Statistical significance was assessed by unpaired two-tailed t test and repeated measures ANOVA.

RESULTS

PMI5011 supplementation resulted in increased body weight and adiposity, while bitter melon did not induce changes in these parameters. Pyruvate tolerance testing indicated that both supplements increased hepatic glucose production. Both supplements induced a significant suppression in fatty acid oxidation in skeletal muscle homogenates treated with pyruvate, indicating enhanced metabolic flexibility. PMI5011 reduced lipid accumulation in skeletal muscle, while bitter melon induced a downward trend in lipid accumulation in the skeletal muscle and liver. This was accompanied by transcriptional regulation of autophagic genes by bitter melon in the liver.

CONCLUSIONS

Data from the current study indicates that dietary supplementation with PMI5011 and bitter melon evokes a divergent, and generally less favorable, set of metabolic responses in female mice compared to effects previously observed in males. Our findings underscore the importance of considering sex-related variations in responses to dietary supplementation aimed at combating metabolic syndrome.