The potential of glucose management indicator for the estimation of glucose disposal rate in people with type 1 diabetes.

BACKGROUND AND AIMS: Insulin resistance is a growing feature in type 1 diabetes (T1D). It can be quantified by calculating the estimated glucose disposal rate (eGDR) with the Epstein's formula, which includes laboratory-measured glycated hemoglobin (HbA1c). We aimed the current research to assess the agreement between the conventional eGDR formula and an alternative one (eGDR-GMI) incorporating the glucose management indicator (GMI) derived from continuous glucose monitoring (CGM). We also explored the relationship between eGDR-GMI, cardiovascular risk factors, and the prevalence of diabetes-related complications. METHODS AND RESULTS: We designed a cross-sectional study that included adults with T1D. eGDR-GMI and eGDR (mg/kg/min) were calculated using GMI or HbA1c, waist circumference, and hypertensive state. Clinical data were collected from electronic medical records. The analyses encompassed 158 participants with a mean age of 39 ± 13 years. The Bland-Altman analysis showed a good agreement between eGDR-GMI and eGDR. When we divided participants in eGDR-GMI tertiles we found a higher prevalence of diabetes-related complications and a less favorable metabolic profile in the lowest eGDR-GMI tertile. The relative risk of retinopathy, nephropathy, and neuropathy significantly increased by approximately 1 unit with each decrease in eGDR-GMI, regardless of age, sex, disease duration, lipids, and smoking habit. CONCLUSIONS: eGDR-GMI represents a valid and robust alternative to the eGDR to assess insulin resistance in T1D. Low eGDR-GMI is associated with diabetes complications and a less favorable metabolic profile. Incorporating the eGDR-GMI into clinical practice can enhance the characterization of T1D people and allow for a more personalized treatment approach.

Improving Access to Specialist Eye Care for Indigenous Australians via Telehealth: An Observational Cohort Study.

Background: Indigenous people are often neglected in eye health research and service delivery programs, despite having a greater burden of vision loss, most of which is avoidable. The objective of this work was to improve access to specialist eye care for Indigenous Australians living in rural and remote areas, by providing direct access to expert diagnostic services based in metropolitan areas through a tele-ophthalmology system. Methods: Over a four-year study period, 13 remote communities in Queensland and the Northern Territory were identified that had limited or no access to eye screening services. Relationships with health service providers in the communities were established to codesign a sustainable model of service delivery and referral pathways to ensure that patients identified with eye issues received appropriate treatment. Results: Over the course of the study, screening records from 378 patients were uploaded to a web-based telehealth system and diagnosed by ophthalmologists. From these examinations, 64 new cases of diabetic retinopathy (DR) were identified (including 2 cases of proliferative DR and 4 cases of severe nonproliferative DR), and diabetic macular edema was noted in 18 patients. The majority of participants screened had no eye problems, which enables the removal of these patients from the queues of overwhelmed specialist lists, improving service efficiency. The study also demonstrates capacity building of healthcare workers to perform eye screening and improved patient health awareness where the retinal cameras were used as an educational tool. Conclusions: A valuable screening service has been established in the target areas, where access to ophthalmic services has been improved for residents of the study screening locations. Routine eye examination (instead of opportunistic eye examination) is feasible for early detection of some eye diseases for remote and rural patients.

Mortality patterns in Dutch diabetes outpatients.

AIM: Diabetes mellitus is a major cause of death. Outpatients with diabetes have more complications than patients in general practice; mortality patterns have only been studied in the total diabetes population. This study aims to assess mortality, causes, and predictors in outpatients with diabetes. MATERIALS AND METHODS: A cohort study, included people with diabetes mellitus from the nationwide Dutch Paediatric and Adult Registry of Diabetes (DPARD) visiting diabetes outpatient clinics in 2016-2020. DPARD data were linked to Statistics Netherlands (CBS), comprising data on mortality, ethnicity and education. All-cause and cardiovascular mortality rates were estimated using Cox proportional hazard regression. RESULTS: During a median follow-up of 3.1 years among 12 992 people with diabetes, mortality rates per 10 000 person-years were 67.7 in adult type 1 diabetes and 324.2 in type 2 diabetes. The major cause of non-cardiovascular death was malignancy. During the pandemic years of influenza (2018) and COVID (2020), mortality rates peaked. Age, smoking and an estimated glomerular filtration rate of <60 ml/min were associated with all-cause mortality. In type 2 diabetes, additional factors were male sex, body mass index <20 kg/m2, diabetes duration <1 year and hypertension. CONCLUSIONS: Mortality among Dutch outpatients with diabetes is high. Smoking and renal failure were associated with mortality in both types. Further focus on early detection and treatment of mortality-associated factors may improve clinical outcomes.

Sheffield One-Stop Service: A potential model to improve the screening uptake of diabetic peripheral neuropathy and other microvascular complications of diabetes.

The world is experiencing an enormous rise in the prevalence of diabetes, which is associated with massive healthcare costs that threaten to overwhelm many healthcare systems. Most of the diabetes expenditure is attributed to the management of chronic diabetes complications, including diabetic peripheral neuropathy (DPN)/diabetic foot complications, chronic kidney disease, sight-threatening retinopathy and cardiovascular diseases. Of these complications, the most overlooked is DPN. Most consultations around the world do not even involve taking off shoes and socks to carry out a foot examination, and even when carried out, the peripheral neurological examination using the 10-g monofilament diagnoses DPN when it is already at an advanced stage. Thus, all too often diabetes complications are diagnosed late, resulting in devastating outcomes, particularly in low- to middle-income countries. There is, therefore, an urgent need to instigate new strategies to improve microvascular screening uptake using a holistic protocol for annual diabetes health checks outside the busy diabetes clinic. One such approach, the Sheffield One-Stop Microvascular Screening Service, which involves modern point of care devices to diagnose DPN, has been shown to be feasible and effective, resulting in high uptake and early management of diabetes complications. This article outlines the advantages of this One-Stop Microvascular Screening Service and a plan to trial an adapted version of this service to a resource-limited country, the Philippines. If successful, this model has the potential for implementation in other countries around the world.

Predictors of post-healing recurrence in patients with diabetic foot ulcers: A systematic review and meta-analysis.

BACKGROUND: Diabetic foot ulcer is one of the most prevalent, serious, and costly consequences of diabetes, often associated with peripheral neuropathy and peripheral arterial disease. These ulcers contribute to high disability and mortality rates in patients and pose a major challenge to clinical management. OBJECTIVE: To systematically review the risk prediction models for post-healing recurrence in diabetic foot ulcer (DFU) patients, so as to provide a reference for clinical staff to choose appropriate prediction models. METHODS: The authors searched five databases (Cochrane Library, PubMed, Web of Science, EMBASE, and Chinese Biomedical Database) from their inception to September 23, 2023, for relevant literature. After data extraction, the quality of the literature was evaluated using the Predictive Model Research Bias Risk and Suitability Assessment tool (PROBAST). Meta-analysis was performed using STATA 17.0 software. RESULTS: A total of 9 studies involving 5956 patients were included. The recurrence rate after DFU healing ranged from 6.2 % to 41.4 %. Nine studies established 15 risk prediction models, and the area under the curve (AUC) ranged from 0.660 to 0.940, of which 12 models had an AUC≥0.7, indicating good prediction performance. The combined AUC value of the 9 validation models was 0.83 (95 % confidence interval: 0.79-0.88). Hosmer-Lemeshow test was performed for 10 models, external validation for 5 models, and internal validation for 6 models. Meta-analysis showed that 14 predictors, such as age and living alone, could predict post-healing recurrence in DFU patients (p < 0.05). CONCLUSION: To enhance the quality of these risk prediction models, there is potential for future improvements in terms of follow-up duration, model calibration, and validation processes.

Cardiovascular risk reduction in type 2 diabetes: What the non-specialist needs to know about current guidelines.

In the US, approximately 11% of the population have diagnosed diabetes and nearly 40% have prediabetes. In addition, chronic kidney disease (CKD) affects 14% of the US population including up to 40% of those with diabetes. Cardiovascular disease (CVD) remains the leading cause of death worldwide where it affects approximately half of adults. The presence of CKD or diabetes doubles the risk of cardiovascular events. When both CKD and diabetes occur in the same patient the risks are further increased. The clinical problems of hypertension, hyperglycemia, and hyperlipidemia are all closely related with obesity, metabolic syndrome, Type 2 diabetes, CKD, atherosclerotic cardiovascular disease, heart failure and non-alcoholic fatty liver disease and metabolic dysfunction-associated steatohepatitis. The increasing frequency of obesity has driven increases in all of these medical comorbidities. These conditions frequently cluster together in the same patient exacerbating the risk of morbidity and mortality. They are also associated with cognitive dysfunction/dementia, pulmonary diseases, cancers, gastrointestinal diseases, immune system abnormalities, and inflammatory disorders. Only 6.8% of adults in US meet all targets for cardiovascular risk management with significant disparities based on race and ethnicity. Given the complexity of these multisystem problems in people with diabetes and obesity, it would seem reasonable to attempt to diagnose and treat many of the comorbidities earlier in the course of disease rather than wait for substantial end organ dysfunction to occur. The American Diabetes Association (ADA) has recently published a consensus statement recommending early screening for the diagnosis of heart failure, CKD and diabetes, recognizing both the frequency and gravity of this combination. Likewise, there are recommendations in the guidelines to facilitate screening for microalbuminuria, blood pressure, glycemic control and lipids earlier in patients at risk rather than wait and treat as a secondary prevention program. Thus, the general principle is to facilitate earlier recognition and diagnosis and provide treatment before downstream target organ complications occur. This review will focus on CVD and risk management based on newest recommendations and standards of care in people with diabetes by the ADA. The main considerations in the treatment of people with diabetes are glycemic control, blood pressure, lipids, and the use of medications with proven cardiorenal disease progression capability to prevent or delay.

Renal function as an effect modifier of intensive glucose control in delaying cognitive function decline among individuals with type 2 diabetes: A revisit to the ACCORD MIND trial.

AIM: Dysglycaemia accelerates cognitive decline. Intensive glucose control may help delay or prevent cognitive function decline (CFD). We aimed to determine how patient characteristics influence the effect of intensive glucose control [glycated haemoglobin (HbA1c) <6.0%] on delaying CFD in people with type 2 diabetes. RESEARCH DESIGN AND METHODS: In this post-hoc analysis of 2977 type 2 diabetes participants from the ACCORD MIND trial, we applied the causal forest and causal tree algorithms to identify the effect modifier of intensive glucose control in delaying CFD from 68 variables (demographics, disease history, medications, vitals and baseline biomarkers). The exposure was intensive versus standard glucose control (HbA1c <6.0% vs. 7.0%-7.9%). The main outcome was cognitive function changes from baseline to the 40th month follow-up, which were evaluated using the digit symbol substitution test, Rey auditory verbal learning test, mini-mental state examination and Stroop test. We used Cohen's d, a measure of standardized difference, to quantify the effect size of intensive glucose control on delaying CFD. RESULTS: Among all the baseline characteristics, renal function was the most significant effect modifier. Participants with urinary albumin levels <0.4 mg/dl [absolute function change (AFC): 0.51 in mini-mental state examination, 95% confidence interval (CI): 0.04, 0.98, Cohen's d: 0.25] had slower CFD with intensive glucose control. Patients with preserved renal function (estimated glomerular filtration rate between 60 and 90 ml/min/1.73 m2) were associated with small benefits (AFC: 1.28 in Stroop, 95% CI: 0.28, 2.27, Cohen's d: 0.12) when undergoing intensive glucose control. Conversely, participants with an estimated glomerular filtration rate <60 ml/min/1.73 m2 (AFC: -0.57 in the Rey auditory verbal learning test, 95% CI: -1.09, -0.05, Cohen's d: -0.30) exhibited faster CFD when undergoing intensive glucose control. Participants who were <60 years old showed a significant benefit from intensive glucose control in delaying CFD (AFC: 1.08 in the digit symbol substitution test, 95% CI: 0.06, 2.10, Cohen's d: 0.13). All p < .05. CONCLUSIONS: Our findings linked renal function with the benefits of intensive glucose control in delaying CFD, informing personalized HbA1c goals for those with diabetes and at risk of CFD.

Impact of Concurrent Exercise Training on Cardiac Autonomic Modulation, Metabolic Profile, Body Composition, Cardiorespiratory Fitness, and Quality of Life in Type 2 Diabetes with Cardiac Autonomic Neuropathy: A Randomized Controlled Trial.

Background: Type 2 diabetes mellitus (T2DM) often leads to cardiac autonomic neuropathy (CAN), a severe complication affecting cardiovascular health. Exercise training is a proven intervention for improving metabolic control and cardiovascular health in T2DM, but the effects of concurrent exercise training (CET), combining aerobic and resistance exercises, on CAN are not fully understood. Objective: This randomized controlled trial investigates the impact of a structured CET program on cardiac autonomic modulation, metabolic profile, body composition, cardiorespiratory fitness (CRF), and quality of life (QoL) in individuals with T2DM and CAN. Methods: A total of 96 participants, aged 35-70 years, with T2DM and CAN, were randomized into CET (n = 48) and control (n = 48) groups. The CET group engaged in combined aerobic and resistance training three times per week for 13 weeks, while the control group received standard care. Primary outcomes included heart rate variability (HRV) and heart rate recovery (HRR). Secondary outcomes were metabolic profile, body composition, CRF, and QoL, which were assessed using standardized protocols and validated questionnaires. The trial was registered with the Clinical Trials Registry-India (CTRI/2021/09/036711). Results: Significant improvements were noted in the CET group compared to controls. HRV metrics (SDNN, RMSSD, pNN50, TP, LF power, HF power, and LF/HF ratio) and HRR metrics (HRR30s, HRR1, HRR2, and HRR3) all showed significant enhancements (p < 0.01). The CET group also exhibited substantial reductions in fasting blood glucose, postprandial blood glucose, HbA1c, waist circumference, hip circumference, and percentage body fat (p < 0.01). Improvements were observed in lipid profile markers and CRF (VO2max) (p < 0.01). QoL scores improved significantly in the CET group as per the ADDQoL-19 (p < 0.01). Conclusions: CET significantly enhances cardiac autonomic modulation, metabolic profile, body composition, CRF, and QoL in individuals with T2DM and CAN. These findings support the integration of CET into standard T2DM management to improve clinical outcomes and QoL. Further research is needed to explore the long-term benefits and broader applicability of CET in diverse diabetic populations.

The Association of Smoking Status with Diabetic Microvascular Complications in Korean Patients with Type 2 Diabetes.

PURPOSE: Few studies have investigated the association between smoking and microvascular complications in the Asian population with type 2 diabetes mellitus (T2DM). We aimed to investigate the relationship between smoking status and microvascular complications in Korean patients with T2DM. MATERIALS AND METHODS: From the Korean National Diabetes Program cohort, we included 2316 Korean male with T2DM who had baseline clinical information available, including their smoking status, and underwent diabetic complication studies. RESULTS: Compared to non-smokers, current smokers had higher odds of any-microvascular complications [adjusted odds ratio (aOR) 1.45, 95% confidence interval (CI) 1.07-1.97, p=0.016]. The odds of neuropathy were significantly higher; however, the odds of retinopathy were significantly lower in current smokers than in nonsmokers (all p<0.05). Among those who underwent repeated complication tests after 3 years, the risk of newly developed retinopathy was significantly increased in ex-smokers [aOR 3.77 (95% CI 1.61-8.87), p=0.002]. Within ex-smokers, long smoking duration and smoking cessation within the recent 5 years were associated with an increased risk of newly developed retinopathy (all p<0.05). CONCLUSION: Male smokers had higher odds of having overall diabetic microvascular complications, including neuropathy. However, the odds of having retinopathy were significantly lower among current smokers. More attention and research are needed regarding the increased risk of retinopathy development in ex-smokers who have recently stopped smoking after a long history of smoking.

Single-cell transcriptomic analysis reveals the antiangiogenic role of Mgarp in diabetic retinopathy.

INTRODUCTION: Diabetic retinopathy (DR) is a common vascular complication of diabetes mellitus and a leading cause of vision loss worldwide. Endothelial cell (EC) heterogeneity has been observed in the pathogenesis of DR. Elucidating the underlying mechanisms governing EC heterogeneity may provide novel insights into EC-specific therapies for DR. RESEARCH DESIGN AND METHODS: We used the single-cell data from the Gene Expression Omnibus database to explore EC heterogeneity between diabetic retinas and non-diabetic retinas and identify the potential genes involved in DR. CCK-8 assays, EdU assays, transwell assays, and tube formation assays were conducted to determine the role of the identified gene in angiogenic effects. RESULTS: Our analysis identified three distinct EC subpopulations in retinas and revealed that Mitochondria-localized glutamic acid-rich protein (Mgarp) gene is potentially involved in the pathogenesis of DR. Silencing of Mgarp significantly suppressed the proliferation, migration, and tube formation capacities in retinal endothelial cells. CONCLUSIONS: This study not only offers new insights into transcriptomic heterogeneity and pathological alteration of retinal ECs but also holds the promise to pave the way for antiangiogenic therapy by targeting EC-specific gene.

Proteomics profiling and association with cardiorenal complications in type 2 diabetes subtypes in Asian population.

AIM: Among multi-ethnic Asians, type 2 diabetes (T2D) clustered in three subtypes; mild obesity-related diabetes (MOD), mild age-related diabetes with insulin insufficiency (MARD-II) and severe insulin-resistant diabetes with relative insulin insufficiency (SIRD-RII) had differential cardio-renal complication risk. We assessed the proteomic profiles to identify subtype specific biomarkers and its association with diabetes complications. METHODS: 1448 plasma proteins at baseline were measured and compared across the T2D subtypes. Multivariable cox regression was used to assess associations between significant proteomics features and cardio-renal complications. RESULTS: Among 645 T2D participants (SIRD-RII [19%], MOD [45%], MARD-II [36%]), 295 proteins expression differed significantly across the groups. These proteins were enriched in cell adhesion, neurogenesis and inflammatory response processes. In SIRD-RII group, ADH4, ACY1, THOP1, IGFBP2, NEFL, ENTPD2, CALB1, HAO1, CTSV, ITGAV, SCLY, EDA2R, ERBB2 proteins significantly associated with progressive CKD and LILRA5 protein with incident heart failure (HF). In MOD group, TAFA5, RSPO3, EDA2R proteins significantly associated with incident HF. In MARD-II group, FABP4 protein significantly associated with progressive CKD and PTPRN2 protein with major adverse cardiovascular events. Genetically determined NEFL and CALB1 were associated with kidney function decline. CONCLUSIONS: Each T2D subtype has unique proteomics signature and association with clinical outcomes and underlying mechanisms.

Fish Oil, Plasma n-3 PUFAs, and Risk of Macro- and Microvascular Complications among Individuals with Type 2 Diabetes.

OBJECTIVE: To evaluate associations of fish oil supplementation and plasma omega 3 polyunsaturated fatty acids (n-3 PUFAs) with risks of macrovascular and microvascular complications among people with type 2 diabetes, and to further explore the potential mediating role of metabolism-related biomarkers. RESEARCH DESIGN AND METHODS: This study included 20,338 participants with type 2 diabetes from UK Biobank. Diabetic complications were identified through hospital inpatient records. RESULTS: During 13.2 years of follow-up, 5,396 people developed macrovascular complications, and 4,868 people developed microvascular complications. After multivariable adjustment, hazard ratios (HRs) and 95% confidence intervals (CIs) for patients with fish oil were 0.90 (0.85, 0.97) for composite macrovascular complications, 0.91 (0.84, 0.98) for coronary heart disease (CHD), 0.72 (0.61, 0.83) for peripheral artery disease; and 0.89 (0.83, 0.95) for composite microvascular complications, 0.87 (0.79, 0.95) for diabetic kidney disease, and 0.88 (0.80, 0.97) for diabetic retinopathy. In addition, higher n-3 PUFA levels, especially docosahexaenoic acid (DHA), were associated with lower risks of macrovascular and microvascular complications. Comparing extreme quartiles of plasma DHA, the HRs (95% CIs) were 0.68 (0.57, 0.81) for composite macrovascular complications, 0.63 (0.51, 0.77) for CHD; and 0.59 (0.38, 0.91) for diabetic neuropathy. Moreover, biomarkers including lipid profile and inflammation collectively explained 54.4% and 63.1% of associations of plasma DHA with risks of composite macrovascular complications and CHD. CONCLUSIONS: Habitual use of fish oil supplementation and higher plasma n-3 PUFA levels, especially DHA, were associated with lower risks of macrovascular and microvascular complications among individuals with type 2 diabetes, and the favorable associations were partially mediated through improving biomarkers of lipid profile and inflammation.

Impact of Glycemic Control on Shoulder Proprioception in Type 2 Diabetes Mellitus: Mediating the Connection - Insights from a Cross-Sectional Analysis.

Introduction: Shoulder proprioception is vital and this cross-sectional study investigated the association between glycemic control and shoulder joint proprioception in Type 2 Diabetes Mellitus (T2DM). Methods: A total of 120 participants, including 60 with T2DM and 60 healthy individuals, were assessed for shoulder joint position sense (JPS) using a digital inclinometer. The T2DM group exhibited significantly greater mean shoulder joint position errors in flexion (4.32° vs 2.15°), abduction, medial rotation, and lateral rotation compared to the healthy group (p < 0.001). Results: The study found significantly greater shoulder joint position errors in the T2DM group compared to the healthy group, highlighting notable proprioceptive deficits in individuals with T2DM. Additionally, a significant positive correlation was found between HbA1c levels and shoulder joint position errors in the T2DM group, suggesting a link between long-term glycemic control and proprioceptive accuracy. Discussion: The significant positive correlation between HbA1c levels and shoulder joint position errors suggests that poor glycemic control is associated with impaired proprioception in T2DM patients. This underscores the need for comprehensive management strategies to mitigate proprioceptive deficits and improve the quality of life in individuals with T2DM.

Effects of insonification on repairing the renal injury of diabetic nephropathy rats.

INTRODUCTION: Prolonged hyperglycemia in diabetes mellitus can result in the development of diabetic nephropathy (DN) and increase the susceptibility to kidney failure. Low-intensity pulsed ultrasound (LIPUS) is a non-invasive modality that has demonstrated effective tissue repair capabilities. The objective of this study was to showcase the reparative potential of LIPUS on renal injury at both animal and cellular levels, while also determining the optimal pulse length (PL). RESEARCH DESIGN AND METHODS: We established a rat model of DN, and subsequently subjected the rats' kidneys to ultrasound irradiation (PL=0.2 ms, 10 ms, 20 ms). Subsequently, we assessed the structural and functional changes in the kidneys. Additionally, we induced podocyte apoptosis and evaluated its occurrence following ultrasound irradiation. RESULTS: Following irradiation, DN rats exhibited improved mesangial expansion and basement membrane thickening. Uric acid expression increased while urinary microalbumin, podocalyxin in urine, blood urea nitrogen, and serum creatinine levels decreased (p<0.05). These results suggest that the optimal PL was 0.2 ms. Using the optimal PL further demonstrated the reparative effect of LIPUS on DN, it was found that LIPUS could reduce podococyte apoptosis and alleviate kidney injury. Metabolomics revealed differences in metabolites including octanoic acid and seven others and western blot results showed a significant decrease in key enzymes related to lipolysis (p<0.05). Additionally, after irradiating podocytes with different PLs, we observed suppressed apoptosis (p<0.05), confirming the optimal PL as 0.2 ms. CONCLUSIONS: LIPUS has been demonstrated to effectively restore renal structure and function in DN rats, with an optimal PL of 0.2 ms. The mechanism underlying the alleviation of DN by LIPUS is attributed to its ability to improve lipid metabolism disorder. These findings suggest that LIPUS may provide a novel perspective for future research in this field.

Assessment of neuropathy subtypes in type 1 diabetes.

INTRODUCTION: Diabetic polyneuropathy (DPN), a common complication of diabetes, can manifest as small, large, or mixed fiber neuropathy (SFN, LFN, and MFN, respectively), depending on the type of fibers involved. Despite evidence indicating small fiber involvement prior to large fiber involvement in type 1 diabetes mellitus (T1DM)-associated DPN, no evidence has been produced to determine the more prevalent subtype. We aim to determine the more prevalent type of nerve fiber damage-SFN, LFN, and MFN-in T1DM-associated DPN, both with and without pain. RESEARCH DESIGN AND METHODS: In this cross-sectional study, participants (n=216) were divided into controls; T1DM; T1DM with non-painful DPN (NP-DPN); and T1DM with painful DPN (P-DPN). DPN was further subgrouped based on neuropathy severity. The more prevalent type of fiber damage was determined applying small and large fiber-specific tests and three diagnostic models: model 1 (≥1 abnormal test); model 2 (≥2 abnormal tests); and model 3 (≥3 abnormal tests). RESULTS: MFN showed the highest prevalence in T1DM-associated DPN. No differences in neuropathy subtype were found between NP-DPN and P-DPN. DPN, with prevalent SFN plateaus between models 2 and 3. All models showed increased prevalence of MFN according to DPN severity. Model 3 showed increased DPN with prevalent LFN in early neuropathy. DPN with prevalent SFN demonstrated a similar, but non-significant pattern. CONCLUSIONS: DPN primarily manifests as MFN in T1DM, with no differentiation between NP-DPN and P-DPN. Additionally, we propose model 2 as an initial criterion for diagnosing DPN with a more prevalent SFN subtype in T1DM. Lastly, the study suggests that in mild stages of DPN, one type of nerve fiber (either small or large) is more susceptible to damage.

Noninvasive Liver Fibrosis Indices as Indicators of Microvascular and Macrovascular Complications in Type 2 Diabetes.

Objective: Nonalcoholic fatty liver disease (NAFLD) is more prevalent in patients with obesity, diabetes, and metabolic syndrome, which are risk factors for nonalcoholic steatohepatitis and liver fibrosis. NAFLD is related to cardiovascular outcomes in diabetes. We aimed to investigate the relationship between diabetic complications and NAFLD fibrosis score (NFS) and Fibrosis-4 score (FIB-4). Methods: Three hundred patients with type 2 diabetes mellitus (T2DM) were retrospectively evaluated according to NAFLD diagnosis on ultrasound in outpatient clinic. Risk of advanced fibrosis was estimated using FIB-4 and NFS. Diabetic complications of the patients were noted. Results: Presence of diabetic retinopathy is related to FIB-4 (P = 0.001) and NFS (P < 0.001) scores. NFS score (P = 0.037), not FIB-4 (P = 0.517), is related to diabetic nephropathy. Among macrovascular complications, only coronary artery disease is related to NFS and FIB-4 scores (P = 0.037 and P = 0.004, respectively). Although we cannot establish any association between fasting blood glucose, glycosylated hemoglobin (HbA1c) values and noninvasive liver fibrosis scores (P > 0.05), diabetes duration, and age positively correlated with the FIB-4 score (P = 0.033, P = 0.001). In logistic regression analysis, NFS > 0.676 values are associated with increased rates of diabetic retinopathy, independent of age, sex, HbA1c, and duration diabetes (odds ratio: 1.155, P = 0.030). FIB-4 has no relation with microvascular complications according to logistic regression analysis (P > 0.05 for all). Neither FIB-4 nor NFS has an effect on the presence of macrovascular complications (P > 0.05 for all). Conclusion: Our findings suggest that increase in NFS score is associated with the presence of diabetic retinopathy, independent of confounding factors. Further studies are needed on the applicability of noninvasive fibrosis scores in monitoring the presence of diabetic microvascular and macrovascular complications.

Estimation of the direct health and indirect societal costs of diabetes in the UK using a cost of illness model.

AIMS: The direct cost of diabetes to the UK health system was estimated at around £10 billion in 2012. This analysis updates that estimate using more recent and accurate data sources. METHODS: A pragmatic review of relevant data sources for UK nations was conducted, including population-level data sets and published literature, to generate estimates of costs separately for Type 1, Type 2 and gestational diabetes. A comprehensive cost framework, developed in collaboration with experts, was used to create a population-based cost of illness model. The key driver of the analysis was prevalence of diabetes and its complications. Estimates were made of the excess costs of diagnosis, treatment and diabetes-related complications compared with the general UK population. Estimates of the indirect costs of diabetes focused on productivity losses due to absenteeism and premature mortality. RESULTS: The direct costs of diabetes in 2021/22 for the UK were estimated at £10.7 billion, of which just over 40% related to diagnosis and treatment, with the rest relating to the excess costs of complications. Indirect costs were estimated at £3.3 billion. CONCLUSIONS: Diabetes remains a considerable cost burden in the UK, and the majority of those costs are still spent on potentially preventable complications. Although rates of some complications are reducing, prevalence continues to increase and effective approaches to primary and secondary prevention continue to be needed. Improvements in data capture, data quality and reporting, and further research on the human and financial implications of increasing incidence of Type 2 diabetes in younger people are recommended.

Sudoscan's Effectiveness in Identifying Chronic Kidney Disease in Patients With Type 2 Diabetes.

Chronic kidney disease (CKD) represents a significant public health issue, particularly prevalent among patients with type 2 diabetes mellitus (T2DM). CKD occurs in approximately 20% to 40% of adults with diabetes mellitus. Sudoscan potentially detects CKD early, providing a non-invasive and convenient alternative to traditional screening methods that rely on serum creatinine and urine albumin levels. This research involves 271 patients from a single medical center over one year, with all participants providing informed consent. The prevalence of CKD in our group was 26.5% (n = 72). This study integrates a comprehensive examination, including anthropometric measurements, biochemical profiles, and Sudoscan's electrochemical skin conductance testing. CKD diagnosis was confirmed via estimated glomerular filtration rate (eGFR) and albumin-to-creatinine ratio (ACR). The aim of this study was to explore the utility of Sudoscan in detecting CKD among patients with T2DM. Statistical analysis reveals moderate correlations between Sudoscan scores and traditional CKD markers like eGFR and albuminuria. It is beneficial in settings where conventional testing is less accessible, suggesting potential for broader CKD screening programs. Key findings suggest that Sudoscan can identify early renal dysfunction with reasonable sensitivity and specificity. Integrating Sudoscan in regular CKD screening could enhance early detection, allowing for timely interventions to prevent progression to end-stage renal disease and reduce healthcare burdens associated with advanced CKD. The results contribute to the ongoing assessment of innovative technologies in managing chronic diseases related to diabetes.

Advanced Mass Spectrometry-Based Biomarker Identification for Metabolomics of Diabetes Mellitus and Its Complications.

Over the years, there has been notable progress in understanding the pathogenesis and treatment modalities of diabetes and its complications, including the application of metabolomics in the study of diabetes, capturing attention from researchers worldwide. Advanced mass spectrometry, including gas chromatography-tandem mass spectrometry (GC-MS/MS), liquid chromatography-tandem mass spectrometry (LC-MS/MS), and ultra-performance liquid chromatography coupled to electrospray ionization quadrupole time-of-flight mass spectrometry (UPLC-ESI-Q-TOF-MS), etc., has significantly broadened the spectrum of detectable metabolites, even at lower concentrations. Advanced mass spectrometry has emerged as a powerful tool in diabetes research, particularly in the context of metabolomics. By leveraging the precision and sensitivity of advanced mass spectrometry techniques, researchers have unlocked a wealth of information within the metabolome. This technology has enabled the identification and quantification of potential biomarkers associated with diabetes and its complications, providing new ideas and methods for clinical diagnostics and metabolic studies. Moreover, it offers a less invasive, or even non-invasive, means of tracking disease progression, evaluating treatment efficacy, and understanding the underlying metabolic alterations in diabetes. This paper summarizes advanced mass spectrometry for the application of metabolomics in diabetes mellitus, gestational diabetes mellitus, diabetic peripheral neuropathy, diabetic retinopathy, diabetic nephropathy, diabetic encephalopathy, diabetic cardiomyopathy, and diabetic foot ulcers and organizes some of the potential biomarkers of the different complications with the aim of providing ideas and methods for subsequent in-depth metabolic research and searching for new ways of treating the disease.

Insulin resistance may accelerate typical changes in heart function among type 1 diabetes patients, particularly in overweight patients: a preliminary study.

Introduction: Type 1 diabetes (T1D) is a metabolic disease characterized by insulin deficiency and subsequent hyperglycemia. Cardiovascular diseases are the prime cause of mortality and morbidity among patients with T1D. Accumulating metabolic disturbances and accelerated cardiac fibrosis fuel the development of heart dysfunction. As insulin resistance (IR) is a risk factor for the development and worsened course of heart failure, this study aimed to assess its impact on heart function in patients with T1D. Methods: Adult participants were recruited prospectively. The inclusion criteria included a diagnosis of T1D. The exclusion criteria were other types of diabetes, symptoms/treatment of heart failure, AST and/or ALT exceeding the upper reference limit by ≥2x, hepatitis, alcoholism, metformin treatment, and pregnancy. The participants underwent a medical interview, physical examination, biochemical test, and echocardiography. Results: The mean age in the study group was 38 ± 9.6 years, and the mean diabetes duration was 21.8 ± 11.3 years. The median BMI in the study cohort was 23.39 kg/m2. Patients with IR had significantly lower mitral E/A ratio and left ventricular and left atrial volume ratio (LVLAVR), higher LV mass index, and presented with altered mitral annular velocities. Conclusions: IR seems to accelerate the pattern of typical changes in heart function among patients with T1D, especially in the overweight subgroup.