Diabetes-related microvascular and macrovascular diseases in the physical therapy setting

Nailfold capillary abnormalities as indicators of diabetic nephropathy progression: a cross-sectional study in type 2 diabetes

BACKGROUND

Type 2 diabetes mellitus (DM) leads to chronic hyperglycemia and microvascular complications, including diabetic nephropathy (DN). Nailfold videocapillaroscopy (NVC) is a non-invasive method for assessing the microvascular abnormalities and may aid in early DN detection. This study investigates the correlation between DN and nailfold capillary abnormalities in type 2 DM.

METHODS

This prospective cross-sectional study involved 453 participants with type 2 DM, divided into 3 groups based on estimated glomerular filtration rate (eGFR) or albumin-to-creatinine (A/C) ratio. Chronic kidney disease (CKD) risk categories based on the 2012 Kidney Disease Improving Global Outcomes (KDIGO) guidelines. Participants underwent structured interviews, clinical assessments, and laboratory tests. NVC was performed to assess capillary morphology, distribution, density, and blood flow.

RESULTS

Significant differences in NVC measurements were observed across eGFR groups, with higher NVC scores and more severe capillary abnormalities noted in lower eGFR groups. The 'comma-like' capillary distribution pattern (23.08%, p = 0.016), more ratio of ramified capillaries (p = 0.0137) were observed in the eGFR <30 ml/min/1.73m2 group. Reduced fundus transparency (p = 0.0015) and impaired visibility of the sub-venous plexus (p = 0.0016) were noted in the lower eGFR groups. Capillary lengths, both input and mean, were shorter in the A/C ratio > 300 mg/g group (p = 0.0382 and p = 0.0478, respectively). The NVC score was higher in the A/C ratio > 300 mg/g groups (p = 0.0028).

CONCLUSION

Nailfold capillary abnormalities correlate with DN severity, indicating their potential as a non-invasive biomarker for early DN detection and monitoring in type 2 DM.

Corneal Epithelial Defects in Diabetic Patients Following Pars Plana Vitrectomy

Diabetes mellitus is a known risk factor for corneal epithelial defects (CEDs) after pars plana vitrectomy (PPV), but it is unclear if diabetes severity or specific diabetic risk factors are associated with an increased risk of CED. The purpose of this retrospective cohort study was to identify factors associated with CED and healing time in association with diabetes severity in diabetic patients following PPV. The electronic health record database at University of Florida in Gainesville was queried to identify patients who underwent PPV for retinal detachment (RD) between April 2016 and April 2022. Patient charts were reviewed for clinical data including type of diabetes (if present), diabetes duration and severity, and associated diabetic comorbidities. The main outcome measures included presence of a CED within one month postoperatively, treatment of CED if present, and CED healing time. A total of 637 patients were analyzed, with a total of 243 eyes (26.5%) that belonged to diabetic patients. The diabetic patients were further separated into a proliferative diabetic retinopathy (PDR) group and a nonproliferative diabetic retinopathy (NPDR) group. Diabetes was associated with the development of an initial CED (p=0.040), consistent with existing literature. There was not a significant difference in CED risk when comparing NPDR and PDR patients, although PDR patients tended to have more severe long-term outcomes with persistent corneal epithelial defects (PCEDs). This suggests that PDR patients may still require closer monitoring and earlier intervention for postoperative CED following PPV, as compared to the NPDR patient population.

The Global Burden of Periodontal Disease: A Narrative Review on Unveiling Socioeconomic and Health Challenges

Periodontal disease is a prevalent chronic inflammatory condition that impacts over a billion people worldwide, leading to substantial tooth loss, reduced quality of life, and heightened systemic health risks. This narrative review synthesizes current evidence regarding the global burden of periodontal disease, its established associations with systemic conditions including cardiovascular disease, diabetes, adverse pregnancy outcomes, respiratory infections, and neurodegenerative disorders, and its significant socioeconomic implications. The review focused on the following research question: What is the global burden of periodontal disease, and how do its systemic and socioeconomic implications necessitate integrated public health strategies? A structured search of the PubMed, Scopus, and WHO databases from 2000 to 2024 was conducted to identify relevant literature using key terms, including "periodontal disease", "global burden", "systemic inflammation", and "public health strategies". Out of 312 initially identified articles, 175 satisfied the inclusion criteria for the final synthesis. The findings underscore the significance of periodontal disease as a modifiable risk factor for various noncommunicable diseases, the influence of healthcare disparities on disease progression, and the critical necessity for integrated public health strategies to mitigate the global burden of periodontal disease and its consequences. The review concludes that coordinated policy reform, health system integration, and enhanced research efforts are crucial for mitigating the global burden of periodontal disease and advancing health equity.

Engineering novel features for diabetes complication prediction using synthetic electronic health records

Diabetes significantly affects millions of people worldwide, leading to substantial morbidity, disability, and mortality rates. Predicting diabetes-related complications from health records is crucial for early prevention and for the development of effective treatment plans. In order to predict four different complications of diabetes mellitus, i.e., retinopathy, chronic kidney disease, ischemic heart disease, and amputations, this study introduces a novel feature engineering approach. While developing the classification models, we utilize XGBoost feature selection method and various supervised machine learning algorithms, including Random Forest, XGBoost, LogitBoost, AdaBoost, and Decision Tree. These models were trained on synthetic electronic health records (EHR) generated by dual-adversarial autoencoders. These EHRs represent nearly 1 million synthetic patients derived from an authentic cohort of 979,308 individuals with diabetes. The variables considered in the models were the age range accompanied by chronic diseases that occur during patient visits starting from the onset of diabetes. Throughout the experiments, XGBoost and Random Forest demonstrated the best overall prediction performance. The final models, which are tailored to each complication and trained using our feature engineering approach, achieved an accuracy between 69% and 77% and an AUC between 77% and 84% using cross-validation, while the partitioned validation approach yielded an accuracy between 59% and 78% and an AUC between 66% and 85%. These findings imply that the performance of our method surpass the performance of the traditional Bag-of-Features approach, highlighting the effectiveness of our approach in enhancing model accuracy and robustness.

An update on bone in diabetes

PURPOSE OF REVIEW

As the prevalence of diabetes mellitus (DM) increases due to urbanization, aging populations, and lifestyle changes, it is crucial to understand the mechanisms, diagnosis, and treatment of diabetes-related bone disorders. This review highlights recent advancements in the field and explores their implications for clinical practice and research.

RECENT FINDINGS

Recent studies have elucidated the complex interplay between diabetes and bone health, emphasizing the roles of advanced glycation end-products (AGEs), inflammation, oxidative stress, senescence, and molecular signaling pathways such as Wnt, mammalian target of rapamycin (mTOR), and exosome-mediated mechanisms. Key findings highlight the significance of bone marrow adipose tissue (BMAT) in bone metabolism and the impact of sarcopenia on fracture risk. Novel diagnostic tools, including miRNA biomarkers and emerging therapeutic strategies like exosome-based therapies and glycogen synthase kinase 3 beta (GSK3β) inhibitors, offer promising opportunities for improving bone health in diabetic patients.

SUMMARY

The findings underscore the need for integrated strategies for managing diabetes-related bone complications. Clinicians should prioritize early screening, lifestyle interventions, and personalized pharmacological treatments to mitigate fracture risk and improve bone health in diabetic patients. Future research should focus on optimizing diagnostic tools and developing targeted therapies to address the unique challenges of bone disorders related to diabetes.

The association between type 2 diabetes and dietary antioxidant index: a cross-sectional study in the Iranian population

OBJECTIVE

This study aims to explore the association between dietary antioxidant index (DAI) and type 2 diabetes (T2D) in the Iranian population.

SUBJECTS AND METHODS

The present cross- sectional study comprised 4,241 participants aged from 35 to 70. A food frequency questionnaire (FFQ) was used to assess dietary intake. The DAI score was determined using Wright's method, which quantifies the antioxidant content of the diet. Logistic and linear regression analyses were used to determine the link between DAI and T2D after adjusting for confounding variables.

RESULTS

Negative associations were found between T2D with total score of DAI (OR = 0.67, CI95%: 0.55-0.81, P = 0.001) and DAI score of zinc (OR = 0.53, CI95%: 0.40-0.72, P = 0.001), manganese (OR = 0.77, CI95%: 0.68-0.88, P = 0.001), and selenium (OR = 0.88, CI95%: 0.78-0.98, P = 0.010) after adjustments for age, sex, BMI, education level, marital status, occupation, physical activity, and calorie intake.

CONCLUSION

These results indicate the significance of an antioxidant-rich diet in preventing T2D and its complications. Nevertheless, additional investigation is required to validate these findings and explore the fundamental mechanisms of the association of T2D and dietary antioxidants.

Polygenic Risk Scores in Myocardial Injury After Noncardiac Surgery: A VISION Substudy

BACKGROUND

Myocardial injury after noncardiac surgery (MINS) is the most prevalent vascular complication following surgical procedures. Although the revised cardiac risk index (RCRI) is widely used to predict postoperative cardiovascular complications, its predictive accuracy is suboptimal.

OBJECTIVES

Considering genetic influences may improve risk prediction. The authors propose integrating polygenic risk scores (PRS) with the RCRI to enhance MINS prediction. Identification of PRS associated with MINS could provide pathophysiological insights.

METHODS

This is a case-control study nested within the Vascular Events in Noncardiac Surgery Participants Cohort Evaluation cohort, including patients aged 45 and above who underwent noncardiac surgery. Daily troponin levels were measured preoperatively and on days 1, 2, and 3 postoperatively. PRS was computed for MINS risk factors using publicly available summary statistics. Logistic regression models were used to assess the association between each PRS and MINS. PRS discrimination was assessed independently and in combination with RCRI.

RESULTS

A total of 253 MINS cases were matched with 253 controls, adjusted for age, sex, and limited to individuals of European ancestry (ntotal = 506). The type II diabetes (T2D) PRS (OR: 1.26; 95% CI: 1.00-1.58; P = 0.047) and the HbA1c PRS (OR: 1.26; 95% CI: 1.03-1.54; P = 0.026) were associated with MINS. No other PRS, including those for coronary artery disease, stroke, and lipid biomarkers, showed significant associations.

CONCLUSIONS

The T2D PRS and the HbA1c PRS were associated with an increased risk of MINS. The findings may reflect the multifactorial pathophysiology of MINS. Larger genetic studies and trials evaluating perioperative glucose management warrant consideration.

Exploring the benefits of alirocumab as lipid-lowering therapy in people with diabetes and very high cardiovascular risk

People with diabetes mellitus (DM) are at a higher risk (2-4 times) for cardiovascular (CV) death and atherosclerotic CV disease (ASCVD) than the general population. A multifactorial approach is recommended to reduce CV risk. Since low-density lipoprotein cholesterol (LDL-C) is a major causal and cumulative risk factor for ASCVD, the management of lipids is a fundamental element in global risk reduction. Intensive lipid lowering therapy (LLT), such as the addition of a proprotein convertase subtilisin/kexin type 9 inhibitor (PCSK9i), to achieve LDL-C goals and reduce the risk of first or recurrent CV events in people with DM at very high CV risk (VHCVR) of ASCVD (i.e. acute coronary syndrome, coronary artery disease, peripheral artery disease) is often required. Alirocumab, a monoclonal antibody against PCSK9, as lipid-lowering therapy offers significant CV benefits and a favourable safety profile in people with DM and a VHCVR, with or without previous CV events. This review highlights the role of LDL-C in the complex pathogenesis of atherosclerosis, summarises the guidelines for CV risk reduction related to LDL-C in patients with DM and a VHCVR, and focuses on the role of alirocumab in managing LDL-C and consequent CV risk reduction in these patients.

Prevalence and Risk Factors of Peripheral Artery Disease in Diabetic Patients: Insights from a Retrospective Cross-Sectional and Cohort Study in Abu Dhabi

Background

Peripheral artery disease (PAD), a common manifestation of systemic atherosclerosis, is linked to high morbidity and mortality. Risk factors such as age, male gender, and hyperlipidemia significantly contribute to PAD. This study aims to estimate the Predictors and associations of peripheral artery diseases in the Abu Dhabi population.

Methods

Cross-sectional analysis of diabetic patients who had ankle brachial index tests in 2018-2019. Data collected from electronic medical records include demographics, treatment history, comorbidities (hypertension, smoking), lab results (HbA1c, renal function, lipid profile), and findings from sudoscan test used to assess the function of small nerve fibers and evaluate autonomic dysfunction. A cohort study from the Abu Dhabi Cardiovascular Risk Study (ADRS), to determine the predictors and relationships associated with peripheral artery disease in Abu Dhabi. Data were analyzed using Statistical Package for the Social Sciences (SPSS) version 26.

Results

Among the 359 patients from the cross-sectional study, 65.5% had normal ABI, 14.2% had low abnormal ABI, and 20.3% had high abnormal ABI. The average age was 65.3 years, with 66.3% females and 75.49% United Arab Emirates (UAE) nationals. Most patients (65.2%) were on non-insulin treatments, and 75.8% had hypertension. The mean HbA1c level was 7.3%. Regarding renal function, 51.5% had stage 1 estimated glomerular filtration rate (eGFR), and 9.2% had abnormal eye grading. Ulcers were present in 95.8%, and 9.7% had vascular referrals. Multivariate analysis showed no significant predictors of abnormal ABI (p > 0.05). In the cohort study of 8699 patients, PAD prevalence was highest among those aged 40-59, with significant associations with age, smoking, and diabetes.

Conclusion

Abnormal ABI was present in 34.5% of patients, with no significant association with various risk factors. However, the cohort study showed that age, smoking, and diabetes are significantly related to PAD development.

Distinct Roles of Common Genetic Variants and Their Contributions to Diabetes: MODY and Uncontrolled T2DM

Type 2 diabetes mellitus (T2DM) encompasses a range of clinical manifestations, with uncontrolled diabetes leading to progressive or irreversible damage to various organs. Numerous genes associated with monogenic diabetes, exhibiting classical patterns of inheritance (autosomal dominant or recessive), have been identified. Additionally, genes involved in complex diabetes, which interact with environmental factors to trigger the disease, have also been discovered. These genetic findings have raised hopes that genetic testing could enhance diagnostics, disease surveillance, treatment selection, and family counseling. However, the accurate interpretation of genetic data remains a significant challenge, as variants may not always be definitively classified as either benign or pathogenic. Research to date, however, indicates that periodic reevaluation of genetic variants in diabetes has led to more consistent findings, with biases being steadily eliminated. This has improved the interpretation of variants across diverse ethnicities. Clinical studies suggest that genetic risk information may motivate patients to adopt behaviors that promote the prevention or management of T2DM. Given that the clinical features of certain monogenic diabetes types overlap with T2DM, and considering the significant role of genetic variants in diabetes, healthcare providers caring for prediabetic patients should consider genetic testing as part of the diagnostic process. This review summarizes current knowledge of the most common genetic variants associated with T2DM, explores novel therapeutic targets, and discusses recent advancements in the pharmaceutical management of uncontrolled T2DM.

Metabolic interventions as adjunctive therapies to insulin in type 1 diabetes: Current clinical landscape and perspectives

Type 1 diabetes (T1D) is classically characterized as an autoimmune disease wherein the immune system erroneously attacks insulin-producing pancreatic β-cells, causing insulin insufficiency and severe metabolic dysregulation. However, intensive investigation and numerous clinical trials with immunotherapies have been largely unable to significantly alter the course of disease. Currently, there is no effective way to prevent or cure T1D, and insulin remains the cornerstone of T1D treatment. In recent years, a growing body of research suggests that β-cells actively contribute to the immune response and to disease development. Factors including glucotoxicity, lipotoxicity, inflammation, endoplasmic reticulum (ER) and oxidative stress can induce β-cell apoptosis and senescence, further promoting insulitis. Recent studies highlight the importance of targeting metabolic control for T1D management and treatment. Metabolic interventions, through their direct and indirect impacts on β-cells, have shown promise in preserving β-cell function. These interventions can reduce glucose toxicity, alleviate oxidative stress and inflammation, enhance insulin sensitivity, and indirectly mitigate the autoimmune responses. By preserving β-cell function, individuals with T1D attain better glycaemic control, reduced complication risks and exhibit improved overall metabolic health. Here, we provide an overview of insights from clinical studies, systematic reviews and meta-analyses that collectively demonstrate that adjunctive metabolic interventions can enhance glycaemic control, reduce insulin requirements and mitigate adverse effects associated with insulin monotherapy. They also show potential for halting disease progression, preserving residual β-cell function and improving long-term outcomes for newly diagnosed individuals. Future research should focus on optimizing these treatment strategies and establishing their long-term efficacy and safety.

'It's a Balancing Act'. A Qualitative Study of the Everyday Management of Type 1 Diabetes Among People with Unexplained Persistent Hyperglycaemia

BACKGROUND

Despite advances in diabetes care, many people with Type 1 Diabetes (T1D) still experience persistent hyperglycaemia, leading to reduced quality of life and increased risk of long-term complications. For some, this hyperglycaemia is linked to factors like co-morbidities, socio-economic challenges, or low health literacy. However, for many, persistent hyperglycaemia remains clinically unexplained, indicating a gap in understanding the contributing factors.

AIM

To explore the lived experiences and everyday management of T1D among adults with clinically unexplained persistent hyperglycaemia (HbA1c ≥ 70 mmol/mol), with the goal of informing caring practices that support better health outcomes.

METHODS

Using an anthropological approach, we conducted in-depth interviews with 19 adults. The interviews were digitally recorded and transcribed. Data was analysed using reflexive thematic analysis.

RESULTS

The analysis identified four themes: (1) 'Embodied diabetes' described how the risk of low blood sugar shaped daily management as it could impact productivity and social interactions, highlighting the need for empathetic support. High levels were more tolerable, yet frustratingly unpredictable and perceived as 'unruly.' (2) 'Inescapable diabetes' described diabetes as a presence that had to be navigated alongside life's complexities and how the participants sought to balance immediate concerns that were often prioritised over perfect glucose levels, underscoring the importance of holistic care approaches. (3) 'Desire for normalcy' described the weighing between concealment and disclosure of T1D and the detailed planning required to integrate diabetes seamlessly into everyday life, suggesting a need for personalised care strategies. Finally, (4) 'Diverse interactions with the diabetes clinic' described experiences from sincere interactions to feelings of resignation. Clinical advice was sometimes dismissed due to perceived ineffectiveness or lack of relevance, indicating opportunities for improving patient-provider relationships.

CONCLUSION

This study highlights the complexities of daily diabetes management and emphasises the importance of a caring and holistic approach that incorporates the myriad obligations, concerns and desires that adults with T1D navigate and prioritise alongside or in competition with their disease. By understanding these lived experiences, healthcare professionals can better support patients through patient-centred care practices that address both medical and personal dimensions of living with T1D.

Evaluating Financial Incentives as a Tool to Increase Medication Adherence for Patients with Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis

INTRODUCTION

Type 2 diabetes mellitus (T2DM) is a common chronic disease with high rates of complications. Although there are successful treatments, rates of medication non-adherence remain high. This study aims to evaluate the impact of financial incentives on medication adherence in people living with T2DM.

METHODS

PubMed, Scopus, and Embase were searched via the terms "medication adherence," "diabetes," and "financial/economic incentive." Data on study characteristics, incentive type, and impact were extracted. The outcome measures included the proportion of days covered (PDC), mean possession ratio (MPR), percent adherent (PDC/MPR > 80%), and others. Two pooled Bayesian meta-analyses were conducted, analyzing the mean differences in PDC or MPR and the percentage of adherent patients (MPR > 80%).

RESULTS

The search yielded 8244 results with 126 full-text articles reviewed. In total, 22 studies that met the inclusion criteria were included. Among these 22 studies, 16 reported that financial incentives significantly increased medication adherence in all, four reported that they did not lead to significant changes in adherence, and two studies reported differing results per subgroup. For the pooled meta-analyses, the effect of financial incentives on percent adherent was significant in three studies (weighted Cohen's D: 0.03, P = 0.02) and in the ten studies assessed PDC/MPR, financial incentives significantly increased adherence (weighted Cohen's D: 0.02, 95%, P < 0.01).

CONCLUSION

This systematic review and meta-analysis demonstrated that financial incentives lead to statistically significant but possibly clinically irrelevant increases in medication adherence for patients living with T2DM.

Cardiometabolic risk factors and brain age: a meta-analysis to quantify brain structural differences related to diabetes, hypertension, and obesity

BACKGROUND

Cardiometabolic risk factors - including diabetes, hypertension, and obesity - have long been linked with adverse health outcomes such as strokes, but more subtle brain changes in regional brain volumes and cortical thickness associated with these risk factors are less understood. Computer models can now be used to estimate brain age based on structural magnetic resonance imaging data, and subtle brain changes related to cardiometabolic risk factors may manifest as an older-appearing brain in prediction models; thus, we sought to investigate the relationship between cardiometabolic risk factors and machine learning-predicted brain age.

METHODS

We performed a systematic search of PubMed and Scopus. We used the brain age gap, which represents the difference between one's predicted and chronological age, as an index of brain structural integrity. We calculated the Cohen d statistic for mean differences in the brain age gap of people with and without diabetes, hypertension, or obesity and performed random effects meta-analyses.

RESULTS

We identified 185 studies, of which 14 met inclusion criteria. Among the 3 cardiometabolic risk factors, diabetes had the highest effect size (12 study samples; d = 0.275, 95% confidence interval [CI] 0.198-0.352; n = 47 436), followed by hypertension (10 study samples; d = 0.113, 95% CI 0.063-0.162; n = 45 102) and obesity (5 study samples; d = 0.112, 95% CI 0.037-0.187; n = 15 678). These effects remained significant in sensitivity analyses that included only studies that controlled for confounding effects of the other cardiometabolic risk factors.

LIMITATIONS

Our study tested effect sizes of only categorically defined cardiometabolic risk factors and is limited by inconsistencies in diabetes classification, a smaller pooled sample in the obesity analysis, and limited age range reporting.

CONCLUSION

Our findings show that each of the cardiometabolic risk factors uniquely contributes to brain structure, as captured by brain age. The effect size for diabetes was more than 2 times greater than the independent effects of hypertension and obesity. We therefore highlight diabetes as a primary target for the prevention of brain structural changes that may lead to cognitive decline and dementia.

Predictive roles of Asprosin and Gremlin-1 expression in Egyptian pediatric patients with type 1 diabetes

Diabetes mellitus type 1 (insulin-dependent) (T1DM) is characterized by the selective destruction of the insulin-producing pancreatic beta. Asprosin and Gremlin-1 may have roles in T1DM, however these roles are not fully established. The expression of Asprosin and Gremlin-1 genes and their protein levels, was considerably higher in T1DM patients' blood compared to the control group (P < 0.001). The area under the curve of 50 age- and sex-matched control persons was compared to that of serum T1DM patients. Gremlin-1 and Asprosin serum quantities were measured by ELISA, and real-time PCR was used to evaluate the expression of their genes in peripheral blood. Serum Asprosin concentration, Asprosin expression, serum Gremlin-1 concentration, and Gremlin-1 expression were 0.87, 0.997, 0.912, and 0.949, respectively. The Asprosin expression was the best marker for T1DM diagnosis with 96% sensitivity, 92% specificity, and 94% accuracy. Asprosin expression can significantly increase the risk of T1DM by 276 folds, followed by Gremlin-1 expression by 84.33 folds. The best diagnostic for T1DM diagnosis was Asprosin expression, which had 96% sensitivity, 92% specificity, and 94% accuracy. The risk of type 1 diabetes can be raised by 276 times when asprosin expression is present, and by 84.33 times when Gremlin-1 expression is present.

Clinical Impact of Glucose Levels on Patient Outcome after Transcatheter Aortic Valve Replacement

Background

Limited data are available for evaluating the effect of blood glucose on transcatheter aortic valve replacement (TAVR) outcomes in patients with diabetes. We aimed to assess the impact of glucose levels on short-term and long-term adverse outcomes in patients undergoing TAVR.

Methods and Results

Data from severe aortic stenosis (AS) patients who underwent TAVR from 2010 to 2022 were collected retrospectively. In total, 615 patients were enrolled in the study: Among the total patient population, 43% had diabetes mellitus (DM), with a mean hemoglobin A1c (HbA1c) level of 7.4 ± 2.5. Within this cohort, 33% were classified as having uncontrolled diabetes, while 17% were considered well-controlled. Diabetic patients were younger (80.7 ± 6.8 vs. 82.0 ± 6.8 years, p = 0.001) and had more cardiovascular risk factors. No significant differences were found in outcomes between the two groups during the twelve-year follow-up. A multivariable logistic regression analysis was conducted on 270 DM patients to examine the impact of blood glucose levels and HbA1c on outcomes such as arrhythmia, stroke, and acute kidney injury (AKI). For arrhythmia, the odds ratio for HbA1c and blood glucose were 1.1039 (p = 0.23), and 0.998 (p = 0.76), indicating no significant associations. In stroke cases, HbA1c had an odds ratio of 1.194 (p = 0.36), while an odds ratio of 1.020 (p = 0.013) for blood glucose indicated a significant association. Notably, for AKI, the odds ratio for HbA1c was 2.304 (p = 0.02), indicating a significant link between higher HbA1c levels and increased AKI risk, with blood glucose levels trending toward significance (odds ratio = 1.0137, p = 0.061).

Conclusions

Diabetic status is a predictor of short-term outcomes following TAVR. Thus, these screening parameters should be included in risk assessment tools for TAVR candidates.

Identification of Metabolic Patterns in Korean Patients With Type 2 Diabetes and Their Association With Diabetes-Related Complications

ARTICLE HIGHLIGHTS

Identifying patterns of metabolic heterogeneity in type 2 diabetes (T2D) can help in the development of optimal treatment strategies. We aimed to identify metabolic patterns in patients with T2D in the Republic of Korea and analyze the risk of developing diabetes-related complications according to patterns. We identified three distinct metabolic patterns and observed that each pattern was associated with a heightened risk of developing various cardiovascular diseases. These findings highlight the necessity of devising treatment strategies based on these patterns to prevent diabetes-related complications.

Astragaloside promotes the secretion of MSC-derived exosomal miR-146a-5p by regulating TRAF6/NF-κB pathway to attenuate inflammation in high glucose-impaired endothelial cells

This study aimed to explore the potential of using mesenchymal stem cell (MSC)-derived exosomes (MSC-Exos) pre-treated with Astragaloside IV (ASIV) to alleviate inflammation in high glucose (HG)-damaged endothelial cells. MSC-Exos were isolated from untreated MSCs and ASIV-pre-treated MSCs, and their characteristics were assessed. The expression of miR-146a-5p in MSC-Exos was determined, and it was found that ASIV treatment enhanced its expression. In order to assess the impact of highly miR-146a-5p-expressing MSC-Exos on HG-injured endothelial cells, we established a model of HG-induced inflammation using human umbilical vein endothelial cells (HUVECs). The study measured cell viability, apoptosis, tube formation, and levels of inflammatory cytokines among the different treatment groups. It was found that transferring MSC-Exos with high miR-146a-5p expression to HG-damaged HUVECs increased cell viability and tube formation ability while reducing the number of apoptotic cells. Additionally, changes in inflammatory factors indicated a reduction in the inflammatory response. Further investigation demonstrated that miR-146a-5p inhibited the expression of TNF receptor associated factor 6 (TRAF6) and phosphorylated NF-κB, which are involved in the inflammatory response. This resulted in the alleviation of inflammation in HG-damaged endothelial cells. In summary, our findings indicate that ASIV treatment stimulated the secretion of MSC-Exos that exhibited increased levels of miR-146a-5p. These exosomes, in turn, regulated the TRAF6/NF-κB pathway. As a result of this modulation, the inflammatory response in HG-damaged endothelial cells was alleviated. These findings offer a fresh approach to addressing vascular complications associated with diabetes, which could lead to novel treatment strategies in the field.

Structural factors and their influence on the use of novel antidiabetic agents: Making the case for increased awareness and access to clinical pharmacy services

Type 2 diabetes (T2D) affects over 38 million Americans, leading to significant health complications and substantial healthcare costs. Novel antidiabetic medications, such as SGLT2 inhibitors and GLP-1 receptor agonists, have shown promise in improving glycemic control and reducing cardiovascular risks. However, their underuse, particularly among minority populations, remains a concern. This review examines the impact of structural factors, including socioeconomic determinants and historical practices like redlining, on the utilization of new antidiabetic agents. Disparities in T2D outcomes are driven by inadequate access to care and neighborhood characteristics. Addressing these issues requires comprehensive strategies, including the integration of pharmacist support to enhance medication adherence and overall T2D management. Understanding the influence of structural racism on healthcare disparities is crucial for improving access and outcomes for all patients.

Prevalence of obesity, determinants, and its association with hyperglycaemia among community dwelling older adolescents in India

BACKGROUND

Globally, obesity and diabetes mellitus (DM) are emergent public health concerns in the adolescent population. India, home to the largest adolescent population and the second largest diabetes cohort is experiencing rapid but unplanned urbanization, with accompanying unhealthy nutritional transition, and sedentary lifestyle.

AIM

To determine prevalence and determinants of obesity and hyperglycaemia and their association among community-dwelling older adolescents (15-19 years) in India.

METHODS

This cross-sectional analysis from the national family health survey-5 included data of 258028 adolescents aged 15-19 across India (2019-2021). The survey employed stratified two-stage sampling, with systematic random sampling in rural and urban areas. Statistical analysis included descriptive statistics, bivariate, and multivariable logistic regression, employing generalized linear models.

RESULTS

The weighted prevalence of DM was 1.09% including 0.77% [95% confidence interval (CI): 0.72-0.83] previously diagnosed and 0.32% (95%CI: 0.29-0.35) newly diagnosed cases detected on survey screening. On adjusted analysis, increasing age, higher education levels, higher wealth index, and overweight/obesity were the factors significantly associated with presence of DM. Only 61% of the adolescents with previously diagnosed DM were on anti-diabetes treatment. The weighted prevalence of overweight/obesity among older adolescents was 6.9% with significantly higher odds in the male sex, having higher educational levels, urban residence, and those with a higher wealth index.

CONCLUSION

Nearly one in hundred older adolescents in India have diabetes, with one in three undiagnosed. Strengthening DM screening and treatment access among adolescents through public health programs is urgently warranted.

Patient reported experiences and readmissions for people with diabetes-related foot disease admitted to public hospitals, New South Wales, Australia, 2019-2022

OBJECTIVE

Patient reported measures of hospital care are known predictors of readmission, even after accounting for risk related to age and comorbidities. This study aimed to determine the association between patient experience of diabetes-related foot disease (DFD) hospital care and unplanned hospital readmission, with a primary focus on DFD-related readmissions and a secondary focus on all-cause readmissions.

METHODS

A retrospective longitudinal cohort study was conducted by linking NSW Adult Admitted Patient Survey data with administrative hospital data for persons hospitalised with DFD identified through diagnostic and/or procedure codes. Univariable and multivariable shared-frailty Cox regression models were used to examine the association between key aspects of patient experiences and 90-days unplanned hospital readmission over the period 2019-2022.

RESULTS

Overall, 3,173 DFD patients were included. Ninety-day readmission rates for respondents with DFD were 9% for DFD-related readmissions and 16% for all-cause readmissions. Adults with DFD who could not understand explanations offered by health professionals were at increased risk of DFD-related readmission compared to those who could always understand (Hazard ratio (HR) 2.43, CI: 1.47-4.00), as well as patients who did not feel well enough to leave hospital at discharge (HR 1.93, CI: 1.41-2.64) or reported the care received was not well organised (HR 2.24, 1.45-3.47). Patients reporting that they did not receive enough information regarding their condition, treatment, or how to manage care at home were found to have a DFD-related readmission risk that was 1.5 to 1.8-times greater than those who did. Similar patterns were observed for all-cause readmissions, albeit with generally smaller effect sizes.

CONCLUSIONS

The findings highlight that elements of care related to communication, coordination, and involvement in decision making may influence unplanned readmission rates for patients with chronic conditions, such as DFD. The impact appears to be more pronounced for DFD-related readmissions compared to all-cause readmissions.

Predicting the diabetic foot in the population of type 2 diabetes mellitus from tongue images and clinical information using multi-modal deep learning

Aims

Based on the quantitative and qualitative fusion data of traditional Chinese medicine (TCM) and Western medicine, a diabetic foot (DF) prediction model was established through combining the objectified parameters of TCM and Western medicine.

Methods

The ResNet-50 deep neural network (DNN) was used to extract depth features of tongue demonstration, and then a fully connected layer (FCL) was used for feature extraction to obtain aggregate features. Finally, a non-invasive DF prediction model based on tongue features was realized.

Results

Among the 391 patients included, there were 267 DF patients, with their BMI (25.2 vs. 24.2) and waist-to-hip ratio (0.953 vs. 0.941) higher than those of type 2 diabetes mellitus (T2DM) group. The diabetes (15 years vs. 8 years) and hypertension durations (10 years vs. 7.5 years) in DF patients were significantly higher than those in T2DM group. Moreover, the plantar hardness in DF patients was higher than that in T2DM patients. The accuracy and sensitivity of the multi-mode DF prediction model reached 0.95 and 0.9286, respectively.

Conclusion

We established a DF prediction model based on clinical features and objectified tongue color, which showed the unique advantages and important role of objectified tongue demonstration in the DF risk prediction, thus further proving the scientific nature of TCM tongue diagnosis. Based on the qualitative and quantitative fusion data, we combined tongue images with DF indicators to establish a multi-mode DF prediction model, in which tongue demonstration and objectified foot data can correct the subjectivity of prior knowledge. The successful establishment of the feature fusion diagnosis model can demonstrate the clinical practical value of objectified tongue demonstration. According to the results, the model had better performance to distinguish between T2DM and DF, and by comparing the performance of the model with and without tongue images, it was found that the model with tongue images performed better.

Burden of rheumatic diseases among people with diabetes: A systematic review and meta-analysis

Diabetes mellitus type 2 (DM2) is a prevalent metabolic condition affecting over 500 million people globally and associated with serious comorbidities, including various rheumatologic conditions. Some studies have reported a significant association between rheumatological conditions and DM2. However, the global burden of rheumatological conditions among people with DM2 remains unknown. The aim of this study was to assess the cumulative prevalence of rheumatological conditions in DM2 patients. An extensive electronic search was conducted utilizing multiple databases of studies published until January 2024. The quality of the studies included in the review was evaluated using a modified version of the Newcastle-Ottawa Scale (NOS). The overall quality of the studies included was rated as moderate. The review included a total of 13 studies, with 830,649 DM2 patients reported to have rheumatological conditions. Eleven studies were used to determine the individual results of rheumatoid arthritis (RA), gout, and osteoarthritis (OA). The pooled prevalence of OA was 26% (95%CI: 19-32%) and the prediction interval ranged from 6% to 51%. The pooled prevalence of gout disease was 1% (95%CI: 0.0-5.0%), and the prediction interval ranged from 0% to 99%. For RA, the combined prevalence was 0.3% (95%CI: 0.2-0.5%) and the prediction interval ranged from 0% to 5%. In conclusion, this review suggests a considerable prevalence of OA among DM2 patients, while the prevalence of RA and gout was minimal. Early diagnosis and management of certain rheumatologic conditions in individuals with DM2 may help improve health outcomes and prevent premature mortality. Further research is warranted to explore and understand the mechanisms underlying the association between DM2 and rheumatological conditions.

Glucometrics utilisation in an urban teaching hospital in ireland: current practice and future aims

BACKGROUND

Dysglycaemia in hospitalised patients is associated with poorer clinical outcomes, including cardiovascular events, longer hospital stays, and increased risk of mortality. Therefore, glucose monitoring is necessary to achieve best outcomes.

AIMS

This audit assesses use of point-of-care (POC) blood glucose (BG) testing in Tallaght University Hospital (TUH) over an 8-day period. It evaluates compliance with international and TUH glucose monitoring protocols and determines frequency of diabetes team consultations for inpatient adults.

METHODS

Data from an 8-day period (12/03/2023-19/03/2023) were extracted from the TUH COBAS-IT system and analysed. Invalid tests were excluded. Hyperglycaemia was defined as ≥ 10 mmol/L and hypoglycaemia as ≤ 3.9 mmol/L. Persistent hyperglycaemia was defined as two BG results of ≥ 10 mmol/L. A chart review was conducted on adult patients with persistent hyperglycaemia to assess for HbA1C results, diabetes diagnosis, and diabetes consult.

RESULTS

3,530 valid tests were included and analysed. 674 individual patients had tests done. 1,165 tests (33.00%) were hyperglycaemic and 75 (2.12%) were hypoglycaemic. 68.25% of adults with persistent hyperglycaemia had an HbA1C test performed or documented within three months. 42.71% of inpatient adults with persistent hyperglycaemia and a known diabetes diagnosis received a consult from the diabetes team.

CONCLUSION

Increased adherence to hospital protocols for testing HbA1C in adults with persistent hyperglycaemia could improve treatment and clinical outcomes. Increased diabetes team consultation could facilitate appropriate treatment and improve patient outcomes in persistently hyperglycaemic adult patient populations.

Regulatory mechanisms and pathological implications of CYP24A1 in Vitamin D metabolism

CYP24A1 is a crucial gene within the cytochrome P450 superfamily, responsible for encoding the enzyme 25-hydroxyvitamin D3-24-hydroxylase. This enzyme is involved in the catabolism of 1,25-dihydroxyvitamin D3, the biologically active form of vitamin D3, by hydroxylating its side chain. Through this process, CYP24A1 tightly regulates the bioavailability and physiological impact of vitamin D3 in the body. Dysregulation of CYP24A1, particularly its overexpression, has been increasingly associated with the progression of various diseases, including cancers, autoimmune disorders, and chronic inflammatory conditions. Elevated levels of CYP24A1 can lead to excessive degradation of vitamin D3, resulting in diminished levels of this critical hormone, which is essential for calcium homeostasis, immune function, and cellular proliferation. This review explores into the structural characteristics of CYP24A1, exploring how it influences its enzymatic activity. Furthermore, it examines the expression patterns of CYP24A1 across different diseases, emphasizing the enzyme's role in disease pathology. The review also discusses the regulatory mechanisms governing CYP24A1 expression, including genetic mutations, epigenetic modifications, and metabolite-mediated regulation. By understanding these mechanisms, the review provides insight into the potential therapeutic strategies that could target CYP24A1, aiming to alleviate its overexpression and restore vitamin D3 balance in disease states.

Impact of fluorosis on molecular predictors in pathogenesis of type 2 diabetes associated microvascular complications

AIM

This review presents specific insights on the molecular underpinnings of the connection between fluorosis, type 2 diabetes, and microvascular complications, along with the novel biomarkers that are available for early detection.

SUMMARY

Fluoride is an essential trace element for the mineralization of teeth and bones in humans. Exposure to higher concentrations of fluoride has harmful effects that significantly outweigh its advantageous ones. Dental fluorosis and skeletal fluorosis are the common side effects of exposure to fluoride, which affect millions of individuals globally. Alongside, it also causes non-skeletal fluorosis, which affects the population suffering from non-communicable diseases like diabetes by impacting the soft tissues and causing diabetic microvascular complications. Previous studies reported the prevalence range of these diabetic complications of neuropathy (3-65 %), nephropathy (1-63 %), and retinopathy (2-33 %). Fluoride contributes to the development of these complications by causing oxidative stress, cellular damage, degrading the functioning capability of mitochondria, and thickening the retinal vein basement.

CONCLUSION

Early diagnosis is a prompt way of prevention, and for that, biomarkers have emerged as an innovative and useful technique. This allows healthcare practitioners and policymakers in endemic areas to comprehend the molecular complexities involved in the advancement of diabetic microvascular problems in the context of high fluoride exposure.

Macromolecules from mushrooms, venoms, microorganisms, and plants for diabetes treatment - Progress or setback?

Diabetes is a substantial public health issue, while its prevalence continues to rise worldwide, affecting millions of persons between the ages of 20 and 80, the development of new therapeutic classes improving glycemic control and consequently micro and macrovascular complications are needed. Today, diabetes treatment is daily for life, and should not be interrupted. However, insulin secretagogues medications, and exogenous self-administration of insulin provide efficient antidiabetic effects, but their misuse leads to hypoglycemic complications besides other risks, hence the need to look for other natural products not to use solely but in concert with others types of medications. In this review, we will highlight briefly the pathophysiology of diabetes and its complications, then we will report the main bioactive macromolecules derived from various sources of natural products providing anti-diabetic properties. However, further researches need to be carried out to face the limitations hampering the development of effective natural drugs for diabetes treatment.

Beneficial effect of Caesalpinia pulcherrima linn., on diabetic neuropathy, cognitive dysfunction and cardiac complications in streptozotocin-induced diabetic rats

Pharmacological relevance

Caesalpinia pulcherrima L. is used in Indian Traditional Medicinal system to treat Diabetes.

Aim

This study was carried out to evaluate the standardized alcoholic extract of Caesalpinia pulcherrima seed (CPS) in Streptozotocin (STZ)-induced diabetic neuropathic and cardiac complications in rodents.

Materials and methods

HPLC finger printing profile of CPS was performed to identify the bioactive molecules. Two doses of CPS (100 & 200 mg/kg b.w.) was orally administered daily once for six weeks to streptozotocin (50 mg/kg, i.v.)-induced diabetic rats. Every week intervals hot & cold immersion tests were carried to know the effect of CPS on peripheral neuropathy. In addition, blood glucose, body weight, food and water intake were also monitored. At the end of the study, sciatic nerve conduction velocity, diabetic cardiomyopathy and diabetic cognitive parameters were evaluated. Furthermore, histopathological studies of sciatic nerve and aortic strip were also carried out.

Results

HPLC finger print experiment showed the presence of gallic acid and protocatechuic acid. Administration of CPS for six weeks significantly prevented the development of diabetic peripheral neuropathy (DPN), cardiomyopathy and cognitive dysfunction in diabetic rats. The CPS treated rats displayed prominent (P < 0.001) improvement in motor coordination, muscle grip, locomotor activity and memory in diabetic rats. CPS treatment restored elevated systolic, diastolic, mean arterial blood pressure (MABP), and heart rate to near normal in diabetic condition. These observed beneficial effects were well correlated and justified with histopathological studies. In addition, CPS treatment also exhibited significant (P < 0.001) reduction of loss in body weight, and reduce the water and feed intake throughout the study.

Conclusion

Taken together, the present study provided a good insight in the therapeutic efficacy of Caesalpinia pulcherrima seed extract in dealing with diabetic complications. The study also scientifically justifies the ethnomedicinal/traditional claims of the title plant.

Dietary modulation of microRNAs in insulin resistance and type 2 diabetes

The prevalence of type 2 diabetes is increasing worldwide. Various molecular mechanisms have been proposed to interfere with the insulin signaling pathway. Recent advances in proteomics and genomics indicate that one such mechanism involves the post-transcriptional regulation of insulin signaling by microRNA (miRNA). These noncoding RNAs typically induce messenger RNA (mRNA) degradation or translational repression by interacting with the 3' untranslated region (3'UTR) of target mRNA. Dietary components and patterns, which can either enhance or impair the insulin signaling pathway, have been found to regulate miRNA expression in both in vitro and in vivo studies. This review provides an overview of the current knowledge of how dietary components influence the expression of miRNAs related to the control of the insulin signaling pathway and discusses the potential application of these findings in precision nutrition.

Early expression of osteopontin glycoprotein on the ocular surface and in tear fluid contributes to ocular surface diseases in type 2 diabetic mice

PURPOSE

Osteopontin (OPN) is a glycosylated, secreted phosphoprotein known to be elevated in both human and mouse retinas during various stages of diabetic retinopathy. However, its specific roles in modulating ocular surface dynamics and immune responses in diabetes remain unexplored. This study aims to investigate the role of OPN in the development of ocular surface disease (OSD) in type 2 diabetic (T2D) mice.

METHODS

Three- to four-week-old C57BL/6 wild-type (WT) and OPN-knockout (OPN-/-) mice were fed a high-fat diet (HFD) and were rendered diabetic by streptozotocin (STZ; 40 mg/kg body weight) in citrate buffer (vehicle); non-diabetic controls were injected with vehicle alone. Diabetes was confirmed if blood glucose levels were >200 mg/dL, measured 1-2 weeks post-STZ injection. Control, age- and sex-matched db/db diabetic mice fed a standard chow diet were also included in this study. Ocular surface inflammation was assessed using ELISA to quantify inflammatory cytokine proteins and wheat germ agglutinin (WGA) staining was utilized to highlight corneal surface irregularities. Clinical signs were evaluated by corneal fluorescein staining, tear production measurements, and tear sodium (Na+) concentration assessments. These evaluations were conducted 4, 6, 8 and 16-weeks post-diabetes onset in WT and OPN-/- mice and were compared to those obtained in non-diabetic controls. Statistical analysis was performed using a two-way ANOVA, with significance set at P < 0.05.

RESULTS

Both WT and OPN-/- mice developed T2D within 4 and 8 weeks, respectively, following HFD + STZ treatment. Corneal OPN levels in WT diabetic mice increased ~2-fold at 2 weeks and ~4-fold at 16 weeks compared to non-diabetic controls, with similar elevations observed in their tear fluid. Diabetic db/db mice also exhibited elevated OPN levels in the blood and ocular surface, which persisted as diabetes progressed. Enhanced fluorescein staining, indicating corneal irregularities, appeared in WT mice at 8 weeks and in OPN-/- mice at 10 weeks post-T2D induction. Additionally, WGA staining showed a significant reduction in fluorescence intensity in WT mice treated with HFD and STZ, confirming corneal surface irregularities that were delayed in OPN-/- mice. Elevated tear sodium concentration was observed in both WT and OPN-/- diabetic mice without affecting tear production rates. Notably, OPN levels increased early, at week 2, following HFD and STZ treatment, preceding changes in interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), and matrix metalloproteinase-9 (MMP-9). Upregulation of IL-6 became apparent at 6 weeks in WT mice and was delayed until 10 weeks in OPN-/- mice post-T2D induction.

CONCLUSIONS

Elevated OPN levels were detected early post-T2D induction in diabetic WT and db/db mice corneas without initial subclinical changes. This early increase in OPN precedes other proinflammatory cytokines associated with eventual ocular surface inflammation as diabetes progresses. Persistence of OPN also correlated with clinical signs such as increased corneal surface irregularities and elevated tear Na+ concentration. Future research will explore OPN's role as a biomarker in ocular surface disease (OSD), including dry eye disease (DED), and investigate its impact on inflammatory processes and other mechanistic pathways in diabetic ocular complications.

Metabolomics and molecular dynamics unveil the therapeutic potential of epalrestat in diabetic nephropathy

Diabetic nephropathy (DN) is one of the leading clinical causes of end-stage renal failure. The classical aldose reductase (AR) inhibitor epalrestat shows beneficial effect on renal dysfunction induced by DN, with metabolic profile and molecular mechanisms remains to be investigated further. In the current study, integrated untargeted metabolomics, network pharmacology and molecular dynamics approaches were applied to explore the therapeutic mechanisms of epalrestat against DN. Firstly, untargeted serum and urine metabolomics analysis based on UPLC-Q-TOF-MS was performed, revealed that epalrestat could regulate the metabolic disorders of amino acids metabolism, arachidonic acid metabolism, pyrimidine metabolism and citrate cycle metabolism pathways after DN. Subsequently, metabolomics-based network analysis was carried out to predict potential active targets of epalrestat, mainly involving AGE-RAGE signaling pathway, TNF signaling pathway and HIF-1 signaling pathway. Moreover, a 100 ns molecular dynamics approach was employed to validate the interactions between epalrestat and the core targets, showing that epalrestat could form remarkable tight binding with GLUT1 and NFκB than it with AR. Surface-plasmon resonance assay further verified epalrestat could bind GLUT1 and NFκB proteins specifically. Overall, integrated system network analysis not only demonstrated that epalrestat could attenuate DN induced metabolic disorders and renal injuries, but also revealed that it could interact with multi-targets to play a synergistic regulatory role in the treatment of DN.

Breaking boundaries in diabetic nephropathy treatment: design and synthesis of novel steroidal SGLT2 inhibitors

The activity of sodium glucose co-transporter 2 (SGLT2) has always been an important parameter influencing chronic kidney disease in type-2 diabetic patients. Herein, we have meticulously designed, synthesized, and evaluated several novel steroidal pyrimidine molecules that possess the capability to successfully bind to the SGLT2 protein and inhibit its activity, thereby remedying kidney-related ailments in diabetic patients. The lead steroidal pyrimidine compounds were selected after virtually screening from a library of probable N-heterocyclic steroidal scaffolds. A nano-catalyzed synthetic route was also explored for the synthesis of the steroidal pyrimidine analogs demonstrating an environmentally benign protocol. Extensive in vitro investigations encompassing SGLT2 screening assays and cell viability assessments were conducted on the synthesized compounds. Among the steroidal pyrimidine derivatives evaluated, compound 9a exhibited the highest SGLT2 inhibition activity and underwent further scrutiny. Western blot analysis was employed to determine the impact of 9a on inflammatory and fibrotic proteins, aiming to elucidate its mechanism of action. Additionally, in silico analyses were performed to illuminate the structural dynamics and molecular interaction mechanism of 9a. The overall investigation is crucial for advancing the development of the next generation of anti-diabetic drugs.

Overview of oxidative stress and inflammation in diabetes

The global prevalence of diabetes has increased significantly, leading to various complications and a negative impact on quality of life. Hyperglycemia hyperglycemic-induced oxidative stress (OS) and inflammation are closely associated with the development and progression of type 2 diabetes mellitus (T2D) and its complications. This review explores the effect of T2D on target organ damage and potential treatments to minimize this damage. The paper examines the pathophysiology of T2D, focusing on low-grade chronic inflammation and OS and on their impact on insulin resistance. The review discusses the role of inflammation and OS in the development of microvascular and macrovascular complications. The findings highlight the mechanisms by which inflammatory cytokines, stress kinases, and reactive oxygen species (ROS) interfere with insulin signaling pathways, leading to impaired glucose metabolism and organ dysfunction. Lifestyle interventions, including a balanced diet and exercise, can help reduce chronic inflammation and OS, thereby preventing and controlling T2D and its associated complications. Additionally, various antioxidants and anti-inflammatory agents show potential in reducing OS and inflammation. Some anti-diabetic drugs, like pioglitazone, metformin, and glucagon-like peptide-1 (GLP-1) agonists, may also have anti-inflammatory effects. Further research, including randomized controlled trials, is needed to evaluate the efficacy of these interventions.

A Prospective Cross-Sectional Study on the Correlation of Adenosine Deaminase and HbA1c With Microvascular Complications in Type 2 Diabetes Mellitus at a Tertiary Care Hospital in Central India

Background Type 2 diabetes mellitus (T2DM) is a prevalent chronic condition characterized by hyperglycemia, which can lead to various microvascular complications, including diabetic nephropathy, neuropathy, and retinopathy. Identifying reliable biomarkers for early detection and risk stratification of these complications is crucial for improving patient outcomes. Adenosine deaminase (ADA) and HbA1c have emerged as potential markers associated with immune function, inflammation, and long-term glycemic control. This study investigates the correlation between ADA and HbA1c levels and microvascular complications in patients with T2DM. Material and methods This prospective observational cross-sectional study involved 150 patients diagnosed with T2DM, focusing on those with diabetic nephropathy, neuropathy, and retinopathy. Clinical data were collected through patient interviews, clinical examinations, and laboratory tests, including measurements of fasting blood glucose, HbA1c, serum creatinine, ADA levels, and urine protein creatinine ratio (UPCR). Fundus examinations and nerve conduction velocity (NCV) tests were performed to assess diabetic retinopathy and neuropathy, respectively. Data were analyzed using SPSS version 25.0 (IBM Corp., Armonk, New York), with statistical tests to evaluate the correlation between ADA and HbA1c levels and microvascular complications. Results The study found a significant correlation between elevated ADA and HbA1c levels and microvascular complications in patients with T2DM. Higher ADA levels were particularly associated with diabetic nephropathy (p=0.003), while HbA1c levels showed a positive correlation with all three complications: nephropathy, neuropathy, and retinopathy. The findings suggest that ADA and HbA1c levels can serve as valuable biomarkers for identifying patients at higher risk of developing these complications. Conclusion This study highlights the potential of ADA and HbA1c as biomarkers for early detection and risk assessment of microvascular complications in T2DM patients. Routine monitoring of these markers could improve the management and prognosis of diabetic patients by enabling timely interventions to prevent or mitigate the progression of complications. Further research is needed to explore the underlying mechanisms linking ADA with diabetic complications and to validate its clinical utility.

Silk Fibroin Nanofibers: Advancements in Bioactive Dressings through Electrospinning Technology for Diabetic Wound Healing

BACKGROUND

Non-healing diabetic wounds represent a significant clinical challenge globally, necessitating innovative approaches in drug delivery to enhance wound healing. Understanding the pathogenesis of these wounds is crucial for developing effective treatments. Bioactive dressings and polymeric nanofibers have emerged as promising modalities, with silk biomaterials gaining attention for their unique properties in diabetic wound healing.

PURPOSE OF REVIEW

The purpose of this review is to examine the challenges and innovations in treating non-healing diabetic wounds, emphasizing the global burden and the need for effective solutions. This review explores the complex mechanisms of wound healing in diabetes and evaluates the therapeutic potential of bioactive dressings and polymeric nanofibers. Special focus is given to the application of silk biomaterials, particularly silk fibroin, for wound healing, detailing their properties, mechanisms, and clinical translation. This review also describes various nanofiber fabrication methods, especially electrospinning technology, and presents existing evidence on the effectiveness of electrospun silk fibroin formulations.

RECENT FINDINGS

Recent advancements highlight the potential of silk biomaterials in diabetic wound healing, owing to their biocompatibility, mechanical strength, and controlled drug release properties. Electrospun silk fibroin-based formulations have shown promising results in preclinical and clinical studies, demonstrating accelerated wound closure and tissue regeneration.

SUMMARY

Non-healing diabetic wounds present a significant healthcare burden globally, necessitating innovative therapeutic strategies. Bioactive dressings and polymeric nanofibers, particularly silk-based formulations fabricated through electrospinning, offer promising avenues for enhancing diabetic wound healing. Further research is warranted to optimize formulation parameters and validate efficacy in larger clinical trials.

The Effect of Vitamin D Supplementation on Glycemic Control and Cardiovascular Risk Factors in Type 2 Diabetes: An Updated Systematic Review and Meta-Analysis of Clinical Trials

Background and Aims: The purpose of this meta-analysis was to investigate the effect of vitamin D supplementation on hemoglobin A1C (HbA1C), fasting blood sugar (FBS), low-density lipoprotein (LDL), high-density lipoprotein (HDL), systolic blood pressure (SBP), and the total vitamin D level in patients with Type 2 diabetes (T2DM). Methods: A systematic search was conducted in databases such as PubMed (Medline), Scopus, Embase, Web of Science, Cochrane Library, and ClinicalTrials.gov using relevant keywords from January 1990 to January 2024. After screening and extracting data, a qualitative evaluation of articles was performed using the Cochrane risk-of-bias tool for randomized trials (RoB 2). Results: The findings revealed that vitamin D supplementation significantly decreased the mean HbA1C (SMD: -0.15; 95% CI: -0.29, -0.20; I square: 79.76%; p value < 0.001) and mean FBS (SMD: -0.28; 95% CI: -0.40, -0.15; I square: 70.13%; p value < 0.001), lowered SBP (SMD: -0.06; 95% CI: -0.16, -0.05; I square: 39.63%; p value = 0.23), and reduced LDL (SMD: -0.11; 95% CI: -0.28, -0.05; I square: 73.66%; p value < 0.001). Furthermore, vitamin D supplementation increased the average HDL (SMD: 0.13; 95% CI: 0.04, 0.29; I square: 79.33%; p value < 0.001) and vitamin D levels (SMD: 1.78; 95% CI: 1.53, 2.04; I square: 91.92%; p value < 0.001) in patients with T2DM. Subgroup analyses showed that weight gain, BMI, and duration of the disease could reduce the effect of vitamin D supplementation on diabetes control in affected patients. Conclusion: The results also indicated that taking vitamin D supplements in the amount of 50,000 IU had a significant effect on reducing the indicators related to diabetes control. Based on the combined evidence, the findings of this meta-analysis suggest that vitamin D supplementation can significantly improve glycemic control and reduce the risk of complications associated with T2DM, especially cardiovascular diseases (CVDs).

Cardiac Autonomic Neuropathy Is Not Associated with Apolipoprotein E Gene Isoforms in the Kazakh Population: A Case-Control Study

The absence of an early diagnosis of cardiac autonomic neuropathy might increase the risk of the disease, progressing to an irreversible stage. Therefore, this study aims to investigate the APOE gene isoforms in patients with cardiac autonomic neuropathy to identify early markers for predicting this disease in the Kazakh population. A total of 147 patients with cardiac neuropathy and 153 controls were examined in this case-control study. Patients were genotyped for two polymorphisms of the APOE gene using real-time PCR. Statistical calculations were performed using binary logistic regression. As a result of our study, we found that there was no statistically significant difference in the frequency of any APOE gene isoforms (APOE (ε2/ε2), APOE (ε2/ε3), APOE (ε2/ε4), APOE (ε3/ε3), or APOE (ε4/ε4)) between the patient group and the control group (p = 0.69, p = 0.64, p = 0.19, p = 0.22, p = 0.97, respectively). Thus, cardiac autonomic neuropathy is not associated with APOE gene isoforms in the Kazakh population.

SGLT2 inhibitors for the treatment of diabetes: a patent review (2019-23)

INTRODUCTION

The sodium-glucose co-transporter 2 (SGLT2) inhibitors are FDA-approved class of drugs for diabetes management. They improve glycemic control by inducing glucosuria. Notwithstanding with potent anti-hyperglycemic activity, SGLT2 inhibitors are emerging as drugs with multifaceted therapeutic potential, evidenced for cardioprotective, renoprotective, antihypertensive, and neuroprotective activities. Continuous attempts are being accomplished through structural modification, development of new formulation, or combination with other drugs, to enhance the bioactivity spectrum of SGLT2 inhibitors for better management of diabetes and related complications.

AREAS COVERED

This review comprises a summary of patent applications, acquired using the Espacenet Patent Search database, concerning SGLT2 inhibitors from 2019 to 2023, with focus on improving therapeutic potentials in management of diabetes and metabolic complications.

EXPERT OPINION

SGLT2 inhibitors have provided an exciting treatment option for diabetes. Originally developed as anti-hyperglycemic agents, SGLT2 inhibitors exert pleiotropic metabolic responses and have emerged as promising antidiabetic agents with cardio-protective and reno-protective activities. Given their distinct therapeutic profile, SGLT2 inhibitors have revolutionized the management of diabetes and associated complications. Emerging evidences on their therapeutic potential against cancer, male reproductive dysfunctions, and neurodegenerative diseases indicate that further research in this field may unfold novel prospective on their plausible use in the management of other chronic conditions.

The role of high mobility group box-1 on the development of diabetes complications: A plausible pharmacological target

BACKGROUND

Diabetes mellitus has emerged as a pressing global concern, with a notable increase in recent years. Despite advancements in treatment, existing medications struggle to halt the progression of diabetes and its associated complications. Increasing evidence underscores inflammation as a significant driver in the onset of diabetes mellitus. Therefore, perspectives on new therapies must consider shifting focus from metabolic stress to inflammation. High mobility group box (HMGB-1), a nuclear protein regulating gene expression, gained attention as an endogenous danger signal capable of sparking inflammatory responses upon release into the extracellular environment in the late 1990s.

PURPOSE

Given the parallels between inflammatory responses and type 2 diabetes (T2D) development, this review paper explores HMGB-1's potential involvement in onset and progression of diabetes complications. Specifically, we will review and update the understanding of HMGB-1 and its inflammatory pathways in insulin resistance, diabetic nephropathy, diabetic neuropathy, and diabetic retinopathy.

CONCLUSIONS

HMGB-1 and its receptors i.e. receptor for advanced glycation end-products (RAGE) and toll-like receptors (TLRs) present promising targets for antidiabetic interventions. Ongoing and future projects in this realm hold promise for innovative approaches targeting HMGB-1-mediated inflammation to ameliorate diabetes and its complications.

A Review of Animal Models for Studying Bone Health in Type-2 Diabetes Mellitus (T2DM) and Obesity

Preclinical research on diabetes and obesity has been carried out in various animal models over the years. These animal models are developed from genetic manipulation that affects their body metabolism, chemical-induced procedures, diet alteration/modifications, or combinations of the aforementioned approaches. The diabetic and obesity animal models have allowed researchers to not only study the pathological aspect of the diseases but also enable them to screen and explore potential therapeutic compounds. Besides several widely known complications such as macrovascular diseases, diabetic neuropathy, nephropathy and retinopathy, type 2 diabetes mellitus is also known to affect bone health. There is also evidence to suggest obesity affects bone health. Therefore, continuous research needs to be conducted to find a remedy or solution to this matter. Previous literature reported evidence of bone loss in animal models of diabetes and obesity. These findings, as highlighted in this review, further augment the suggestion of an inter-relationship between diabetes, obesity and bone loss.

Perioperative Management of Patients with Diabetes and Cancer: Challenges and Opportunities

BACKGROUND

Both diabetes and cancer are major global health issues that are among the leading causes of morbidity and mortality. There is a high prevalence of diabetes among cancer patients, many of whom require a surgical procedure. This review focuses on the operative complications in patients with diabetes and cancer, and the perioperative management of diabetes in cancer patients.

METHODOLOGY

A literature search of articles in English-published between January 2010 and May 2024-was carried out using the databases PubMed, MEDLINE, Google Scholar, and the Cochrane Database of Systematic Reviews. The search primarily focused on the operative complications in patients with diabetes and cancer, and perioperative management strategies.

RESULTS

The relationship between cancer and diabetes is complex; cancer patients have a high risk of developing diabetes, while diabetes is a risk factor for certain cancers. In addition, various cancer therapies can induce or worsen diabetes in susceptible patients. Many individuals with cancer and diabetes require surgery, and due to underlying diabetes, they may have elevated risks for operative complications. Optimal perioperative management for these patients includes managing perioperative glycemia and other comorbid illnesses, adjusting diabetic and cancer treatments, optimizing nutrition, minimizing the duration of fasting, supporting early mobilization, and providing patient education to enable self-management.

CONCLUSIONS

While evidence is limited, optimal perioperative management for patients with both diabetes and cancer is necessary in order to reduce surgical complications. Future studies are needed to develop evidence-informed perioperative strategies and improve outcomes for these patients.

A nomogram model based on SII, AFR, and NLR to predict infectious complications of laparoscopic hysterectomy for cervical cancer

BACKGROUND

This study aimed to investigate the potential risk factors associated with postoperative infectious complications following laparoscopic hysterectomy for cervical cancer and to develop a prediction model based on these factors.

METHODS

This study enrolled patients who underwent selective laparoscopic hysterectomy for cervical cancer between 2019 and 2024. A multivariate regression analysis was performed to identify independent risk factors associated with postoperative infectious complications. A nomogram prediction model was subsequently constructed and evaluated using R software.

RESULTS

Out of 301 patients were enrolled and 38 patients (12.6%) experienced infectious complications within one month postoperatively. Six variables were independent risk factors for postoperative infectious complications: age ≥ 60 (OR: 3.06, 95% confidence interval (CI): 1.06-8.79, P = 0.038), body mass index (BMI) ≥ 24.0 (OR: 3.70, 95%CI: 1.4-9.26, P = 0.005), diabetes (OR: 2.91, 95% CI: 1.10-7.73, P = 0.032), systemic immune-inflammation index (SII) ≥ 830 (OR: 6.95, 95% CI: 2.53-19.07, P < 0.001), albumin-to-fibrinogen ratio (AFR) < 9.25 (OR: 4.94, 95% CI: 2.02-12.07, P < 0.001), and neutrophil-to-lymphocyte ratio (NLR) ≥ 3.45 (OR: 7.53, 95% CI: 3.04-18.62, P < 0.001). Receiver operator characteristic (ROC) curve analysis indicated an area under the curve (AUC) of this nomogram model of 0.928, a sensitivity of 81.0%, and a specificity of 92.1%.

CONCLUSIONS

The nomogram model, incorporating age, BMI, diabetes, SII, AFR, and NLR, demonstrated strong predictive capabilities for postoperative infectious complications following laparoscopic hysterectomy for cervical cancer.

Use of VESsel GENeration with Optical Coherence Tomography Angiography and Fluorescein Angiography for Detection and Quantification of Vascular Changes in Mild and Moderate Diabetic Retinopathy

(1) Background: Previously, VESsel GENeration (VESGEN) software was used to map and quantify vascular changes observed on fluorescein angiography (FA) in subjects (n = 15 eyes) with retinal pathology ranging from mild non-proliferative diabetic retinopathy (NPDR) to proliferative diabetic retinopathy (PDR). In the current study, we used VESGEN for the assessment of individuals with early-stage NPDR imaged by FA (Cohort 1) and by optical coherence tomography angiography (OCTA; Cohort 2). (2) Methods: Cohort 1 included type 2 diabetics (T2D), represented 21 eyes (ranging from no DR to moderate DR), and also included nondiabetic controls (NDC; n = 15 eyes). Cohort 2 consisted of 23 eyes from T2D subjects (including no DR subjects and moderate DR subjects) and NDC (n = 18 eyes). (3) Results: In the FA-VESGEN study, total tortuosity (Tv) of microvessels (G ≥ 6) increased in T2D with mild DR compared to the controls. In contrast, the VESGEN analysis of OCTA images showed that vessel length (characterized as density) was lower in T2D subjects before the diagnosis of DR and following the diagnosis of DR when compared to the controls. Additionally, T2D showed a significant decrease in vessel area (density). (4) Conclusions: FA elucidated the vessel morphology of small-generation microvessels to a greater degree than OCTA; however, OCTA identified changes in vessel density better than FA. VESGEN analysis can be used with both standard FA and OCTA to facilitate our understanding of early events in DR, including before the clinical diagnosis of DR.

Dietary Pectin from Premna microphylla Turcz Leaves Prevents Obesity by Regulating Gut Microbiota and Lipid Metabolism in Mice Fed High-Fat Diet

The present study was designed to investigate the protective effects of pectin extracted from Premna microphylla Turcz leaves (PTP) against high-fat-diet (HFD)-induced lipid metabolism disorders and gut microbiota dysbiosis in obese mice. PTP was made using the acid extraction method, and it was found to be an acidic pectin that had relative mole percentages of 32.1%, 29.2%, and 26.2% for galacturonic acid, arabinose, and galactose, respectively. The administration of PTP in C57BL/6J mice inhibited the HFD-induced abnormal weight gain, visceral obesity, and dyslipidemia, and also improved insulin sensitivity, as revealed by the improved insulin tolerance and the decreased glucose levels during an insulin sensitivity test. These effects were linked to increased energy expenditure, as demonstrated by the upregulation of thermogenesis-related protein UCP1 expression in the brown adipose tissue (BAT) of PTP-treated mice. 16S rRNA gene sequencing revealed that PTP dramatically improved the HFD-induced gut dysbiosis by lowering the ratio of Firmicutes to Bacteroidetes and the quantity of potentially harmful bacteria. These findings may provide a theoretical basis for us to understand the functions and usages of PTP in alleviating obesity.

Adherence to Self-Monitoring of Blood Glucose and Its Related Factors Among Type 2 Diabetic Patients Attending Al-Ahsa Primary Health Care Centers in Saudi Arabia

BACKGROUND

Self-monitoring of blood glucose (SMBG) is a crucial component of diabetes management, but adherence remains suboptimal. This study aimed to evaluate adherence to SMBG among type 2 diabetic patients in Al-Ahsa, Saudi Arabia.

METHODS

A cross-sectional study was conducted among 398 type 2 diabetic patients attending primary healthcare centers. Data were collected through face-to-face or virtual interviews and electronic health records. Adherence levels were categorized as low, moderate, and high.

RESULTS

The majority of participants exhibited moderate adherence to SMBG (58.5%), while 27.1% had low adherence, and 14.3% were highly adherent. The use of oral hypoglycemic medications and insulin injections was associated with higher adherence (p<0.001). Comorbidities, physical exercise, diet, frequency of medical visits, and attendance at diabetes education sessions did not significantly influence adherence.

CONCLUSIONS

Suboptimal adherence to SMBG was observed among type 2 diabetic patients in Al-Ahsa. Targeted interventions addressing individual barriers and integrating technology may improve SMBG adherence and diabetes management.

Tongue image fusion and analysis of thermal and visible images in diabetes mellitus using machine learning techniques

The study aimed to achieve the following objectives: (1) to perform the fusion of thermal and visible tongue images with various fusion rules of discrete wavelet transform (DWT) to classify diabetes and normal subjects; (2) to obtain the statistical features in the required region of interest from the tongue image before and after fusion; (3) to distinguish the healthy and diabetes using fused tongue images based on deep and machine learning algorithms. The study participants comprised of 80 normal subjects and age- and sex-matched 80 diabetes patients. The biochemical tests such as fasting glucose, postprandial, Hba1c are taken for all the participants. The visible and thermal tongue images are acquired using digital single lens reference camera and thermal infrared cameras, respectively. The digital and thermal tongue images are fused based on the wavelet transform method. Then Gray level co-occurrence matrix features are extracted individually from the visible, thermal, and fused tongue images. The machine learning classifiers and deep learning networks such as VGG16 and ResNet50 was used to classify the normal and diabetes mellitus. Image quality metrics are implemented to compare the classifiers' performance before and after fusion. Support vector machine outperformed the machine learning classifiers, well after fusion with an accuracy of 88.12% compared to before the fusion process (Thermal-84.37%; Visible-63.1%). VGG16 produced the classification accuracy of 94.37% after fusion and attained 90.62% and 85% before fusion of individual thermal and visible tongue images, respectively. Therefore, this study results indicates that fused tongue images might be used as a non-contact elemental tool for pre-screening type II diabetes mellitus.

Knowledge and Practice of Foot Care among Patients with Diabetes Attending Diabetes Center, Saudi Arabia

Background: Diabetic foot is a serious and often debilitating diabetes complication that poses a significant risk of morbidity and even mortality. However, ensuring good knowledge and good practice of appropriate foot care for patients with diabetes has been frequently neglected in diabetes management. Objectives: This study aimed to assess foot care knowledge and practice in patients with diabetes. Methods: We conducted a cross-sectional study on 400 patients with diabetes at Madinah Diabetes Center, Madinah City, Saudi Arabia, in 2023. Sociodemographic, knowledge score, practice of foot care, and diabetes-related data were collected using a valid interview structured questionnaire. The prevalence of good knowledge and practice level was calculated and compared using the studied patients' characteristics using appropriate statistical tests. Results: The prevalence of good knowledge of foot care and its practice was 35% and 27%, respectively. The knowledge level showed statistically significant differences among patients based on their age and diabetes type and duration. Patients who were >50 years (70.1%), had type 2 diabetes (89.5%), and with diabetes duration >10 years (65%) showed significantly better knowledge. Female patients (65.7%) had a higher good practice level compared with male patients (34.3%) (p < 0.001). Conclusions: This study highlights the insufficient knowledge and inadequate foot care practice among patients with diabetes in the studied population. Educational interventions and targeted strategies are necessary to improve knowledge about the importance of foot care and promote better foot care practices among patients with diabetes.

Association between color value of tongue and T2DM based on dose-response analyses using restricted cubic splines in China: A cross-sectional study

This study aimed to explore the relationship between international commission on illumination (CIE) L*a*b* color value of tongue and type 2 diabetes mellitus (T2DM). We used restricted cubic spline method and logistic regression method to assess the relationship between CIE L*a*b* color value of tongue and T2DM. A total of 2439 participants (991 T2DM and 1448 healthy) were included. A questionnaire survey and tongue images obtained with tongue diagnosis analysis-1 were analyzed. As required, chi-square and t tests were applied to compare the T2DM and healthy categories. Our findings suggest the 95% confidence interval and odds ratio for body mass index, hypertension, and age were 0.670 (0.531-0.845), 13.461 (10.663-16.993), and 2.595 (2.324-2.897), respectively, when compared to the healthy group. A linear dose-response relationship with an inverse U-shape was determined between CIE L* and CIE a* values and T2DM (P < .001 for overall and P < .001 for nonlinear). Furthermore, U-shaped and linear dose-response associations were identified between T2DM and CIE b* values (P = .0160 for nonlinear). Additionally, in adults, the CIE L*a*b* color value had a correlation with T2DM. This novel perspective provides a multidimensional understanding of traditional Chinese medicine tongue color, elucidating the potential of CIE L*a*b* color values of tongue in the diagnosis of T2DM.