Diabetes mellitus in pregnancy across Canada.

BACKGROUND: Contemporary estimates of diabetes mellitus (DM) rates in pregnancy are lacking in Canada. Accordingly, this study examined trends in the rates of type 1 (T1DM), type 2 (T2DM) and gestational (GDM) DM in Canada over a 15-year period, and selected adverse pregnancy outcomes. METHODS: This study used repeated cross-sectional data from the Canadian Institute of Health Information (CIHI) hospitalization discharge abstract database (DAD). Maternal delivery records were linked to their respective birth records from 2006 to 2019. The prevalence of T1DM, T2DM and GDM were calculated, including relative changes over time, assessed by a Cochrane-Armitage test. Also assessed were differences between provinces and territories in the prevalence of DM. RESULTS: Over the 15-year study period, comprising 4,320,778 hospital deliveries in Canada, there was a statistically significant increase in the prevalence of GDM and T1DM and T2DM. Compared to pregnancies without DM, all pregnancies with any form of DM had higher rates of hypertension and Caesarian delivery, and also adverse infant outcomes, including major congenital anomalies, preterm birth and large-for-gestational age birthweight. CONCLUSION: Among 4.3 million pregnancies in Canada, there has been a rise in the prevalence of DM. T2DM and GDM are expected to increase further as more overweight women conceive in Canada.

A sensitivity indicator screening and intelligent classification method for the diagnosis of T2D-CHD.

Background: The prevalence of Type 2 Diabetes Mellitus (T2D) and its significant role in increasing Coronary Heart Disease (CHD) risk highlights the urgent need for effective CHD screening within this population. Despite current advancements in T2D management, the complexity of cardiovascular complications persists. Our study aims to develop a comprehensive CHD screening model for T2D patients, employing multimodal data to improve early detection and management, addressing a critical gap in clinical practice. Methods: We analyzed data from 699 patients, including 471 with CHD (221 of these also had T2D) and a control group of 228 without CHD. Employing strict diagnostic criteria, we conducted significance testing and multivariate analysis to identify key indicators for T2D-CHD diagnosis. This led to the creation of a neural network model using 21 indicators and a logistic regression model based on an 8-indicator subset. External validation was performed with an independent dataset from an additional 212 patients to confirm the models' generalizability. Results: The neural network model achieved an accuracy of 90.7%, recall of 90.78%, precision of 90.83%, and an F-1 score of 0.908. The logistic regression model demonstrated an accuracy of 90.13%, recall of 90.1%, precision of 90.22%, and an F-1 score of 0.9016. External validation reinforced the models' reliability and effectiveness in broader clinical settings. Conclusion: Our AI-driven diagnostic models significantly enhance early CHD detection and management in T2D patients, offering a novel, efficient approach to addressing the complex interplay between these conditions. By leveraging advanced analytics and comprehensive patient data, we present a scalable solution for improving clinical outcomes in this high-risk population, potentially setting a new standard in personalized care and preventative medicine.

Adipose Tissue Dynamics, Thermogenesis, and Interorgan Connections for Preventing Obesity and Metabolic Disorders.

Adipose tissues, such as white, brown, and beige tissues, play pivotal roles in maintaining energy balance and metabolic health. Whereas white adipocytes store energy, brown and beige adipocytes exhibit high energy expenditure owing to their distinct mitochondrial density and UCP1 expression. Dysfunction in these tissues contributes to metabolic disorders such as type 2 diabetes and cardiovascular diseases. Adipose tissue expansion through cell enlargement or increased cell numbers caused by excess energy storage in white adipocytes substantially influences metabolic health. In obesity, hypertrophic adipocytes trigger inflammation, fibrosis, and hypoxia, whereas smaller adipocytes exert favorable metabolic effects, contributing to insulin sensitivity. Brown and beige adipocytes consume energy for thermogenesis to maintain body temperature, contributing to metabolic homeostasis. The intricate interactions between brown adipose tissues and various organs, such as the liver and heart, highlight the systemic implications of adipose tissue functions. Understanding the complex underlying mechanisms may lead to the development of innovative therapies targeting metabolic disorders by modulating the functions of brown adipose tissue and its interactions with other physiological systems. In this review, we discuss insights into the mechanisms underlying the dysregulation of metabolism owing to abnormalities in adipose tissue remodeling. We focus on the endocrine functions of thermogenic brown and beige adipocytes and explore the interorgan interactions that influence whole-body metabolism.

Prediction model for low bone mass mineral density in type 2 diabetes: an observational cross-sectional study.

PURPOSE: Considering the prevalence of type 2 diabetes (T2D), osteoporosis should be considered a serious complication. However, an effective tool for the assessment of low bone mass mineral density (BMD) in T2D patients is not currently available. Therefore, the aim of our study was to establish a simple-to-use risk assessment tool by exploring risk factors for low BMD in T2D patients. METHODS: This study included 436 patients with a low BMD and 381 patients with a normal BMD. Multiple logistic regression analysis was performed to evaluate risk factors for low BMD in T2D patients. A nomogram was then developed from these results. A receiver operating characteristic (ROC) curve, calibration plot, and goodness-of-fit test were used to validate the nomogram. The clinical utility of the nomogram was also assessed. RESULTS: Multivariate logistic regression indicated that age, sex, education, body mass index (BMI), fasting C-peptide, high-density cholesterol (HDL), alkaline phosphatase (ALP), estimated glomerular filtration rate (eGFR), and type I collagen carboxy terminal peptide (S-CTX) were independent predictors for low BMD in T2D patients. The nomogram was developed from these variables using both the unadjusted area under the curve (AUC) and the bootstrap-corrected AUC (0.828). Calibration plots and the goodness-of-fit test demonstrated that the nomogram was well calibrated. CONCLUSIONS: The nomogram-illustrated model can be used by clinicians to easily predict the risk of low BMD in T2D patients. Our study also revealed that common factors are independent predictors of low BMD risk. Our results provide a new strategy for the prediction, investigation, and facilitation of low BMD in T2D patients.

Use of Tirzepatide in Adults with Type 2 Diabetes Mellitus: Scientific Evidence and Practical Aspects.

Tirzepatide is a novel antidiabetic medication a single-molecule, agonist to the glucose-dependent insulinotropic polypeptide and glucagon-like peptide-1 receptors. It is approved in the USA and EU for the treatment of type 2 diabetes mellitus (T2DM) and obesity. Due to the potential novelty represented by incorporating tirzepatide to clinical practice, we aim to review practical aspects of tirzepatide use in T2DM and the supporting scientific evidence. A group of ten endocrinologists involved as investigators in the phase 3 SURPASS clinical trial program followed a nominal group technique, a qualitative research methodology designed as a semi-structured group discussion to reach a consensus on the selection of a set of practical aspects. The scientific evidence for tirzepatide has been reviewed with respect to a number of patients' clinical profiles and care goals. Information of interest related to adverse events, special warnings and precautions, and other considerations for tirzepatide use has been included. Finally, information provided to the patients has been summarized. The practical aspects reported herein may be helpful in guiding physicians in the use of tirzepatide and contribute to optimizing the management of T2DM.

Real-World Clinical Experience of Oral Semaglutide in a Secondary Diabetes Clinic in the UK: A Retrospective Observational Study.

INTRODUCTION: Oral semaglutide improves cardiovascular risk factors in people with type 2 diabetes (T2D) in clinical trials, though real-world evidence is limited. We aimed to determine the real-world impact of oral semaglutide on routinely collected clinical data in our practice. METHODS: People with T2D initiated on oral semaglutide in secondary care diabetes clinics at two hospital sites in Wales (United Kingdom) were included. Data were collected on reasons for oral semaglutide initiation and changes in bodyweight, blood pressure, glycemic control, and lipid profiles over follow-up at 3-6 months, and at 6-12 months. Data were collected to determine the safety of oral semaglutide. RESULTS: Seventy-six patients were included, with a median age 59.3 [51.4-67.6] years, and 38 (50.0%) patients were female. The most common reasons for oral semaglutide were need for weight loss and improved glycemia (69.8%), and improved glycemia alone (25.0%). Oral semaglutide associated with significantly reduced bodyweight (- 3.3 kg), body mass index (BMI) (- 0.9 kg/m2), glycated hemoglobin (HbA1c) (- 11 mmol/mol), and total cholesterol (- 0.4 mmol/l) by 3-6 months follow-up. At 6-12 months, there was a significant reduction in systolic blood pressure (- 7.0 mmHg), in addition to sustained reductions in other metabolic parameters. By 12 months, 18 (23.6%) patients had discontinued the drug, largely resulting from gastrointestinal disturbance, but there were no serious events in this cohort. CONCLUSIONS: Oral semaglutide was effective in improving cardiovascular risk factors in this real-world population living with T2D, and no serious events were identified related to oral semaglutide in this patient group.

Real-World Treatment Patterns Among Patients with Type 2 Diabetes Mellitus Initiating Treatment with Oral Semaglutide.

INTRODUCTION: The treatment landscape for type 2 diabetes mellitus (T2DM) is complex and constantly evolving, and real-world evidence of prescribing patterns is limited. The objectives of this study were to characterize lines of therapy (LOTs), calculate the length of time spent on each LOT, and identify the reasons for the LOT end among patients who initiated oral semaglutide for T2DM. METHODS: This retrospective, claims-based study included commercial and Medicare Advantage adults with T2DM. Data from November 1, 2019, and June 30, 2020, were obtained from Optum Research Database. Patients with ≥ 1 claim for oral semaglutide and continuous health plan enrollment for ≥ 12 months prior to (baseline period) and ≥ 6 months following (follow-up period) the date of the first oral semaglutide claim were included. LOT 1 began on the date of the first oral semaglutide claim. The start date of any subsequent LOTs was the date of the first claim for an additional non-insulin anti-diabetic drug class or a reduction in drug class with use of commitment medications. The LOT ended at the first instance of medication class discontinuation, change in regimen or end of follow-up. RESULTS: Of the 1937 patients who initiated oral semaglutide, 950 (49.0%) remained on their initial regimen over the 6-month follow-up period, 844 (43.6%) had at least one subsequent LOT, and 89 (4.6%) had at least two subsequent LOTs. Among patients with more than one LOT, approximately 20%-25% used oral semaglutide as monotherapy or combination therapy during LOTs 2 and 3. Metformin was frequently used during treatment across all LOTs. CONCLUSION: This study provides insight for physicians and payers into the real-world prescribing practices within the first 6 months following oral semaglutide initiation and fills the gap in understanding the frequency of regimen changes in the constantly evolving and complex environment of T2DM care.

Type 2 diabetes mellitus is a disease which, over time, can cause higher than normal levels of sugar in the blood (hyperglycemia) which can be harmful if not treated. Treatment for type 2 diabetes mellitus can be complex, and how doctors prescribe medications is always changing. For some people with type 2 diabetes mellitus who are overweight or obese, it is recommended for patients to use certain medications that can help with weight management such as semaglutide and metformin. This study aims to fill gaps in current treatment knowledge about type 2 diabetes mellitus patients and their treatment of oral semaglutide. Researchers in this study explored how patients treated with oral semaglutide differentiated among line of therapies, how long patients stuck to them and why they stopped. The study found that those patients who started with oral semaglutide, almost half of those patients stuck to their initial treatment plan for the entire 6 months. When it came to the top ten treatment plans, about 20% of patients used oral semaglutide alone and about 25% of patients used oral semaglutide plus an additional treatment option. Metformin was frequently used during treatment across all line of therapies. There is little information on the real-life setting of treatment after the start of therapy for type 2 diabetes mellitus. The results from this study show what happens when patients start using oral semaglutide and helps healthcare providers understand how often treatment plans can change in type 2 diabetes mellitus care.

Weight loss, glycolipid profile changes in type 2 diabetes patients after esophagectomy: a propensity score matching analysis.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a common co-morbidity in patients who receive esophagectomy and has unfavorable effects on glucose and lipid metabolism in patients. This study examines how weight and glycolipid metabolism change in patients with T2DM following esophagectomy. METHODS: This retrospective, one-center, observational analysis with a propensity score matching analysis (PSM) included 114 patients who underwent esophageal surgery in the Department of Cardiothoracic Surgery, the 900th Hospital of Joint Logistic Support Force from 2017 to 2020, which were separated into T2DM group and Non-T2DM group. Weight, body mass index (BMI), fasting plasma glucose (FPG), triglycerides (TG), total cholesterol (TC), high-density lipoprotein (HDL), and low-density lipoprotein (LDL) were measured and analyzed before and after the operation. RESULTS: Two groups showed similar reductions in weight and BMI after surgery. In the T2DM group, weight decreased from 63.10(10.31) before surgery to 55.10(11.60) kg at 6 months (P < 0.001) with BMI decreasing from 22.67 (2.90) to 19.77 (3.48); While in the Non-T2DM group, weight decreased from 61.42 (8.46) to 53.19 (9.26) kg at 6 months after surgery with BMI decline from 22.49 (2.77) before operation to 19.45 (3.08) at 6 months after surgery. Fasting plasma glucose levels showed a significant decrease (P = 0.035) in the T2DM group at a six-month point of 7.00 (2.21) mmol/L compared to preoperative levels of 7.67 (2.32) mmol/L. HDL levels increased significantly in the Non-T2DM group at six months postoperatively at 1.52 (0.05) with P < 0.001 compared to preoperative levels of 1.22(0.04) mmol/L. TG, LDL, and TC levels decreased significantly in both groups from the preoperative to the 6-month point. CONCLUSIONS: Esophagectomy induces weight loss in T2DM and Non-T2DM groups, improves long-term glucose metabolism in the T2DM group, and enhances lipid metabolism in both groups. Further research is needed to understand their mechanisms.

Validation of the Individualized Metabolic Surgery score in predicting long-term remission of diabetes after duodenal switch-type procedures.

AIM: To validate the Individualized Metabolic Surgery (IMS) score and assess long-term remission of type 2 diabetes (T2D) after duodenal switch (DS)-type procedures in patients with obesity. In addition, to help guide metabolic procedure selection for those patients categorized as having severe T2D. MATERIALS AND METHODS: This is a retrospective single cohort study of all patients with T2D and severe obesity, who underwent DS-type procedures at a single institution from December 2010 to December 2018. Study endpoints included validating the IMS score in our cohort and evaluating the impact of DS-type procedures on long-term (≥ 5 years) remission of T2D, especially in patients with severe disease. A receiver operator characteristic curve was used to assess the accuracy of the IMS score using the area under the curve (AUC). RESULTS: The study cohort included 30 patients with complete baseline and long-term glycaemic data after their index DS-type surgery. Twelve patients (40%) were classified with severe T2D, and the distribution of IMS-based severity groups was similar between our cohort and the original IMS study (P = .42). IMS scores predicted long-term T2D remission with AUC = 0.77. Patients with IMS-based severe diabetes achieved significantly higher long-term remission after DS-type procedures compared with gastric bypass and/or sleeve gastrectomy from the original IMS study (42% vs. 12%; P < .05). CONCLUSIONS: The IMS score properly classifies the severity of T2D in our study cohort and adequately predicts its long-term remission after DS-type procedures. While T2D remission decreases with more severe IMS scores, long-term remission remains high after DS-type procedures among patients with severe disease.

Could Online Education Replace Face-to-Face Education in Diabetes? A Systematic Review.

OBJECTIVE: Diabetes Self-Management Education and Support (DSMES) is a critical component of diabetes care. This study aims to examine the effect of online-based educational interventions on diabetes management compared to face-to-face interventions. METHODS: A systematic review was conducted by searching three databases for studies in English or Spanish between December 2023 and March 2024. The inclusion criteria were studies that compared face-to-face DSMES with online interventions. RESULTS: The follow-up duration of the trials ranged from 1 to 12 months. Multidisciplinary teams delivered online DSMES through various means, including Short Message Service (SMS), telephone calls, video calls, websites, and applications. Online DSMES was found to be comparable to face-to-face interventions in terms of glycated hemoglobin (HbA1c) levels in people with type 1 diabetes (T1D). In contrast, online interventions that focus on weight management in people with type 2 diabetes (T2D) have shown a significant reduction in HbA1c compared to face-to-face interventions. Online DSMES was found to be superior in terms of quality of life and cost-effectiveness in both T1D and T2D. None of the analyzed studies explored the differences between individual and group methodologies. CONCLUSIONS: The current evidence indicates that online DSMES services provide at least comparable biomedical benefits to face-to-face interventions, suggesting that online interventions could be incorporated into clinical practice as a complement or reinforcement. However, further research is needed to explore the potential benefits and effectiveness of online group sessions in DSMES.

25(OH)D level and vascular lesion scores in kidney histopathology as risk-stratification tool for predicting renal progression in people with type 2 diabetes.

AIM: To evaluate the potential of the combined individual vascular histopathological lesion and serum 25-hydroxy vitamin D [25(OH)D] level as predictors of outcomes in patients with diabetes and chronic kidney disease. METHODS: A total of 190 patients with type 2 diabetes and kidney disease stages 1-4 were retrospectively included. Kaplan-Meier analysis and the log-rank test were performed to assess renal survival differences. And the time-dependent receiver operating characteristic analyses were used to characterize the predictive accuracy. Hazard ratios for vascular lesion scores and 25(OH)D levels with renal outcomes were estimated using Cox proportional hazards regression models with follow-up time. RESULTS: Over a median follow-up of 23.78 (12.61, 37.14) months, 71 patients (37.4 %) experienced the renal outcomes. Enrolled patients with more severe vascular lesions had worse kidney function, heavier proteinuria, lower serum 25(OH)D levels, and higher prevalence of composite kidney outcomes. Baseline serum 25(OH)D was a significant independent risk factor for vascular lesion scores. The effect of serum 25(OH)D level on kidney prognosis was more pronounced in males and those with more exacerbated vascular lesions (score 2). The severity of vascular lesions and serum 25(OH)D levels were associated with unfavorable kidney outcomes. Accordingly, further time-dependent receiver operating characteristic curves confirmed that combined 25(OH)D level and vascular lesion score had a stable and reliable performance in renal outcomes prediction at short and long-term follow-up times. CONCLUSIONS: 25(OH)D level and vascular lesion scores in kidney histopathology could serve as a useful risk-stratification tool for predicting renal progression in patients with type 2 diabetes.

Determinants of serious health outcome-free status in middle-aged and older people with dysglycaemia: Exploratory analysis of the ORIGIN trial.

AIM: To assess clinical and biochemical measurements that can identify people with dysglycaemia (i.e. diabetes or pre-diabetes) who remain free of serious outcomes during follow-up. MATERIALS AND METHODS: We conducted exploratory analyses using data from the Outcomes Reduction with an Initial Glargine Intervention (ORIGIN) study to identify independent determinants of outcome-free status in 12 537 middle-aged and older adults with prediabetes and early type 2 diabetes from 40 countries. Serious outcome-free status was defined as the absence of major cardiovascular outcomes, kidney or retinal outcomes, peripheral artery disease, dementia, cancer, any hospitalization, or death during follow-up. RESULTS: In total, 3328 (26.6%) participants remained free of serious outcomes during a median follow-up of 6.2 years (IQR 5.8, 6.7). Independent clinical determinants of outcome-free status included younger age, female sex, non-White ethnicity, shorter diabetes duration, absence of previous cardiovascular disease, current or former smokers, higher grip strength, Mini-Mental State Examination score, and ankle-brachial index, lower body mass index and kidney disease index, and non-use of renin-angiotensin system drugs and beta-blockers. In a subset of 8401 people with baseline measurements of 238 biomarkers, growth differentiation factor 15, kidney injury molecule-1, N-terminal pro-brain natriuretic peptide, uromodulin, C-reactive protein, factor VII and ferritin were independent determinants. The combination of clinical determinants and biomarkers best identified participants who remained outcome-free (C-statistics 0.71, 95% confidence interval 0.70-0.73; net reclassification improvement 0.55, 95% confidence interval 0.48-0.58). CONCLUSIONS: A set of routinely measured clinical characteristics and seven protein biomarkers identify middle-aged and older people with prediabetes or early type 2 diabetes as least likely to experience serious outcomes during follow-up.

A prospective observational study to evaluate a possible relationship between vitamin K antagonist therapy and risk of peripheral arterial disease in patients with type 2 diabetes.

AIM: The use of vitamin K antagonists (VKAs) may increase the risk of peripheral arterial disease (PAD) because vitamin K is a strong inhibitor of medial arterial calcification. Type 2 diabetes (T2D) exposes patients to an increased risk of PAD. We examined how the use of VKAs modulates the risk of incident PAD in people with T2D. MATERIALS AND METHODS: SURDIAGENE is a French cohort including 1468 patients with T2D with a prospective follow-up from 2002 to 2015. The primary outcome of the current analysis was the first occurrence of PAD, a composite of lower-limb amputation (LLA) or lower-limb revascularization. LLA and lower-limb revascularization were considered individually as secondary outcomes. RESULTS: During a 7-year median follow-up, PAD occurred in 147 (10%) of the 1468 participants. The use of VKAs was not significantly associated with the risk of PAD [multivariable adjusted hazard ratio (HR) 1.42, 95% confidence interval (CI), 0.88-2.31]. During the study period, LLA and lower-limb revascularization occurred in 82 (6%) and 105 (7%) participants, respectively. The use of VKAs was significantly associated with increased risk of LLA [multivariable adjusted HR 1.90 (95% CI, 1.04-3.47)], but not lower-limb revascularization [multivariable adjusted HR 1.08 (95% CI, 0.59-1.97)]. CONCLUSIONS: In this prospective study, we did not observe any excess risk of PAD requiring lower-limb revascularization in people with type 2 diabetes using VKAs. However, our data suggest a high risk of LLA in VKA users. Further studies are required to confirm this observation.

Clinical Observations on the Combined Use of Hyperbaric Oxygenation and Conventional Medications in the Management of Type 2 Diabetes Mellitus Concurrent With Sudden Deafness.

Objective: The aim of this study is to investigate the effectiveness of combining hyperbaric oxygen therapy (HBOT) with conventional pharmacological interventions in the management of type 2 diabetes mellitus concurrent with sudden deafness. Methods: A cohort of 96 patients diagnosed with sudden deafness was enrolled and subsequently randomized into 2 groups: a treatment group (n = 50) and a control group (n = 46). The control group received standard conventional treatment aimed at enhancing microcirculation and nutritional support for nerves, while the treatment group underwent conventional symptomatic treatment coupled with HBOT. The evaluation encompassed the monitoring of blood glucose and blood lipid levels, clinical efficacy, and absolute hearing threshold improvement in both groups. Results: Following the intervention, noteworthy reductions in blood glucose and blood lipid levels were observed in both groups compared to their respective pretreatment values. Furthermore, posttreatment values in the treatment group exhibited a statistically significant decrease in comparison to those in the control group (P < .05). On assessing clinical efficacy posttreatment, the treatment group demonstrated a significantly higher efficacy than the control group (P < .05). In addition, the absolute hearing thresholds in both groups exhibited a significant decrease posttreatment compared to baseline values. Notably, the treatment group displayed a statistically significant reduction in absolute hearing thresholds compared to the control group posttreatment (P < .05). Conclusion: The combined therapeutic approach utilizing hyperbaric oxygen exhibits effectiveness in mitigating auditory impairment among individuals manifesting sudden deafness concomitant with type 2 diabetes mellitus. Furthermore, this treatment approach is associated with a concurrent reduction in blood glucose and blood lipid levels.

Associations of vegetable and potato intakes with markers of type 2 diabetes risk in the AusDiab cohort.

CONTEXT: The associations of vegetable and potato intakes with type 2 diabetes (T2D) appear to be nuanced, depending on vegetable types and preparation method, respectively. OBJECTIVE: We investigated the associations of total vegetable, vegetable subgroup, and potato intakes with 1) markers of T2D at baseline and 2) incident T2D cumulative over a 12-year follow-up period in Australian adults. METHODS: Using data from the Australian Diabetes, Obesity and Lifestyle Study, intakes of vegetables and potatoes were assessed via a food frequency questionnaire at baseline. Associations between vegetable intake and 1) fasting plasma glucose (FPG), 2-hour post load plasma glucose (PLG), updated homeostasis model assessment of ß-cell function (HOMA2-%ß), HOMA2 of insulin sensitivity (HOMA2-%S), and fasting insulin levels at baseline and 2) cumulative incident T2D at the end of 12-year follow-up were examined using generalized linear and Cox proportional hazards models, respectively. RESULTS: In total, 8,009 participants were included having median age of 52 years, and vegetable intake of 132 g/day. Higher intake of total vegetable, green leafy, yellow/orange/red, and moderate intakes of cruciferous vegetables was associated with lower PLG. Additionally, higher green leafy vegetable intake was associated with lower HOMA2-%ß and serum insulin. Conversely, higher potato fries/chips intakes were associated with higher FPG, HOMA2-%ß, serum insulin, and lower HOMA2-%S. Participants with moderate cruciferous vegetables intake had a 25% lower risk of T2D at the end of 12 years follow-up. CONCLUSIONS: A higher intake of vegetables, particularly green leafy vegetables, may improve while consuming potato fries/chips, but not potatoes prepared in a healthy way, may worsen glucose tolerance and insulin sensitivity. Our findings suggest a nuanced relationship between vegetable subgroups and their impact on glucose tolerance.

Development of a novel zebrafish model of diabetic nephropathy.

Diabetic nephropathy (DN) is a substantial healthcare challenge as a complication of diabetes, owing to the high risk of morbidity and mortality involved. Although significant progress has been made in understanding the pathogenesis of DN, more efficient models are required to develop new therapeutics. Here, we created a DN model in zebrafish by crossing diabetic Tg(acta1:dnIGF1R-EGFP) and proteinuria-tracing Tg(l-fabp::VDBP-GFP) lines, named zMIR/VDBP. Overfed adult zMIR/VDBP fish developed severe hyperglycemia and proteinuria, which were not observed in wild-type zebrafish. Renal histopathology revealed human DN-like characteristics, such as glomerular basement membrane thickening, foot process effacement, and glomerular sclerosis. Glomerular dysfunction is restored upon calorie restriction. RNA sequencing (RNA-seq) analysis demonstrated that zebrafish DN kidneys exhibited transcriptional patterns similar to human DN pathogenesis. Notably, the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) signaling pathway was activated, a phenomenon observed in the early phase of human DN. In addition, metformin improved hyperglycemia and proteinuria in DN zebrafish by modulating AKT phosphorylation. Our results indicated that zMIR/VDBP fish are suitable for elucidating the mechanisms underlying human DN and could be a powerful tool for therapeutic discovery.

The link between serum neuregulin-1 and atherogenic index in type 2 diabetes mellitus.

BACKGROUND: Neuregulin-1(NRG-1) is a protein that belongs to the group of epidermal growth factors. It plays vital roles in anti-fibrotic effects on the myocardium. The current paper explores the role of NRG-1 in type 2 diabetes mellitus (T2DM) and its relation to atherogenic index as a factor for increasing cardiovascular disease(CVD) risk. MATERIAL AND METHODS: In this study, 79 diabetes mellitus patients are independent insulin. These patients consisted of 53 females and 26 males their age were ranged 40-67 years. They were divided into two groups depending on the atherogenic index of plasma (AIP). Group I including48 diabetic patient with high risk of CVD and group II including 31 diabetic patients without risk CVD. Forty healthy individuals were included as control. RESULT: When compared to the control group, the serum levels of NRG-1 were significantly lower (p = 0.01). Additionally, group I had a much lower NRG-1level than group II. The results of multiple stepwise regression showed that the only independent predictor for NRG-1 level prediction was AIP (ß = - 0.600, P = 0.040). When comparing the diabetic patients with high risk factors for CVD to the healthy subject group, the AUC was outstanding (AUC = 0.889, P = 0.001) and had a high diagnosis. CONCLUSIONS: We proved low NRG-1 levels in diabetic patients and the association of highest NRG-1 amounts to a better AIP. Moreover, the measurement of NRG-1 levels could be beneficial as laboratory markers to monitor for increasing CVD risk in type 2 diabetes mellitus.

Predictors associated with an increase in daily steps among people with prediabetes or type 2 diabetes participating in a two-year pedometer intervention.

BACKGROUND: This study aimed to explore predictors associated with intermediate (six months) and post-intervention (24 months) increases in daily steps among people with prediabetes or type 2 diabetes participating in a two-year pedometer intervention. METHODS: A secondary analysis was conducted based on data from people with prediabetes or type 2 diabetes from two intervention arms of the randomised controlled trial Sophia Step Study. Daily steps were measured with an ActiGraph GT1M accelerometer. Participants were divided into two groups based on their response to the intervention: Group 1) ≥ 500 increase in daily steps or Group 2) a decrease or < 500 increase in daily steps. Data from baseline and from six- and 24-month follow-ups were used for analysis. The response groups were used as outcomes in a multiple logistic regression together with baseline predictors including self-efficacy, social support, health-related variables, intervention group, demographics and steps at baseline. Predictors were included in the regression if they had a p-value < 0.2 from bivariate analyses. RESULTS: In total, 83 participants were included. The mean ± SD age was 65.2 ± 6.8 years and 33% were female. At six months, a lower number of steps at baseline was a significant predictor for increasing ≥ 500 steps per day (OR = 0.82, 95% CI 0.69-0.98). At 24 months, women had 79% lower odds of increasing ≥ 500 steps per day (OR = 0.21, 95% CI 0.05-0.88), compared to men. For every year of increase in age, the odds of increasing ≥ 500 steps per day decreased by 13% (OR = 0.87, 95% CI 0.78-0.97). Also, for every step increase in baseline self-efficacy, measured with the Self-Efficacy for Exercise Scale, the odds of increasing ≥ 500 steps per day increased by 14% (OR = 1.14, 95% CI 1.02-1.27). CONCLUSIONS: In the Sophia Step Study pedometer intervention, participants with a lower number of steps at baseline, male gender, lower age or higher baseline self-efficacy were more likely to respond to the intervention with a step increase above 500 steps per day. More knowledge is needed about factors that influence response to pedometer interventions. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02374788.

Characterizing poorly controlled type 2 diabetes using 1H-NMR metabolomics.

INTRODUCTION: The prevalence of type 2 diabetes has surged to epidemic proportions and despite treatment administration/adherence, some individuals experience poorly controlled diabetes. While existing literature explores metabolic changes in type 2 diabetes, understanding metabolic derangement in poorly controlled cases remains limited. OBJECTIVE: This investigation aimed to characterize the urine metabolome of poorly controlled type 2 diabetes in a South African cohort. METHOD: Using an untargeted proton nuclear magnetic resonance metabolomics approach, urine samples from 15 poorly controlled type 2 diabetes patients and 25 healthy controls were analyzed and statistically compared to identify differentiating metabolites. RESULTS: The poorly controlled type 2 diabetes patients were characterized by elevated concentrations of various metabolites associated with changes to the macro-fuel pathways (including carbohydrate metabolism, ketogenesis, proteolysis, and the tricarboxylic acid cycle), autophagy and/or apoptosis, an uncontrolled diet, and kidney and liver damage. CONCLUSION: These results indicate that inhibited cellular glucose uptake in poorly controlled type 2 diabetes significantly affects energy-producing pathways, leading to apoptosis and/or autophagy, ultimately contributing to kidney and mild liver damage. The study also suggests poor dietary compliance as a cause of the patient's uncontrolled glycemic state. Collectively these findings offer a first-time comprehensive overview of urine metabolic changes in poorly controlled type 2 diabetes and its association with secondary diseases, offering potential insights for more targeted treatment strategies to prevent disease progression, treatment efficacy, and diet/treatment compliance.

Burden and predictors of distress among persons with type 2 diabetes mellitus: Excerpts of an observational study from Eastern India.

Context: Diabetes distress (DD) is a common psychological condition distinct from depression. This is a unique, hidden emotional burden and worry that the patient experiences under ongoing treatment. Aim: To assess the prevalence and predictors of DD among adult diabetics attending a tertiary healthcare facility. Settings and Design: This hospital-based observational, analytical, cross-sectional study recruited 152 adult patients with type 2 diabetes. Materials and Methods: The sociodemographic and diabetes-related information was collected with the help of a predesigned, structured proforma. Clinical and anthropometric examinations were conducted. Distress was determined by the standardized Diabetic Distress Scale (DDS). Statistical Analysis Used: The mean (SE) value was calculated for quantitative variables. The mean item score in DDS of ≥2 is taken as the presence of distress. Fisher's exact Chi-square test was done to check for association. Two-tailed significance test with a P value of < 0.05 was considered statistically significant. Results: Majority of study participants were literate, married, and from the lower middle socioeconomic class. High blood pressure was the most common co-morbidity and tobacco use was the most prevalent addiction. The prevalence of diabetes distress was 77.0%. Emotional DD was found to be more common than regimen, interpersonal, and physician-related DD. The major determinants that emerged were young age, low socioeconomic class, physical inactivity, longer time duration to reach the hospital, associated known co-morbidities, and poor glycaemic control. Conclusion: A target-specific and routine counseling sessions merged with pronged strategic services are essential to improve the mental health of respondents.