Diabetic Complications Research Articles

Clustering-based risk stratification of prediabetes populations: Insights from the Taiwan and UK Biobanks.

This study aimed to identify low- and high-risk diabetes groups within prediabetes populations using data from the Taiwan Biobank (TWB) and UK Biobank (UKB) through a clustering-based Unsupervised Learning (UL) approach, to inform targeted type 2 diabetes (T2D) interventions. Data from TWB and UKB, comprising clinical and genetic information, were analyzed. Prediabetes was defined by glucose thresholds, and incident T2D was identified through follow-up data. K-means clustering was performed on prediabetes participants using significant features determined through logistic regression and LASSO. Cluster stability was assessed using mean Jaccard similarity, silhouette score, and the elbow method. We identified two stable clusters representing high- and low-risk diabetes groups in both biobanks. The high-risk clusters showed higher diabetes incidence, with 15.7% in TWB and 13.0% in UKB, compared to 7.3% and 9.1% in the low-risk clusters, respectively. Notably, males were predominant in the high-risk groups, constituting 76.6% in TWB and 52.7% in UKB. In TWB, the high-risk group also exhibited significantly higher BMI, fasting glucose, and triglycerides, while UKB showed marginal significance in BMI and other metabolic indicators. Current smoking was significantly associated with increased diabetes risk in the TWB high-risk group (P < 0.001). Kaplan-Meier curves indicated significant differences in diabetes complication incidences between clusters. UL effectively identified risk-specific groups within prediabetes populations, with high-risk groups strongly associated male gender, higher BMI, smoking, and metabolic markers. Tailored preventive strategies, particularly for young males in Taiwan, are crucial to reducing T2D risk.

Dihydrolipoamide S-acetyltransferase activation alleviates diabetic kidney disease via AMPK-autophagy axis and mitochondrial protection

Diabetic kidney disease (DKD), a severe complication of diabetes marked by deregulated glucose metabolism, remains enigmatic in its pathogenesis. Herein, we delved into the functional role of Dihydrolipoamide S-acetyltransferase (DLAT), a pivotal E2 component of the pyruvate dehydrogenase complex (PDC), in the context of DKD. Our findings revealed a downregulation of DLAT in the kidneys of diabetic patients, correlating inversely with kidney function. Parallel downregulation was observed in both high-fat diet/streptozotocin (HFD/STZ) and db/db mouse models, as well as in human proximal tubular epithelial cells (HK-2) cultured under hyperglycemic conditions. To further elucidate the role of endogenous DLAT in DKD, we employed genetic ablation of Dlat in mouse models. Dlat haploinsufficient mice exhibited exacerbated renal dysfunction, structural damage, fibrosis, and mitochondrial dysfunction under DKD conditions. Consistent with these findings, modulation of DLAT expression in HK-2 cells highlighted its influence on fibrosis, with overexpression attenuating Fibronectin and Collagen I levels, while downregulation exacerbated fibrosis. Mechanistically, we discovered that DLAT activates mitochondria autophagy through the Adenosine 5′-monophosphate (AMP)-activated protein kinase (AMPK) signaling pathway, thereby mitigating mitochondrial dysfunction associated with DKD progression. Inhibition of AMPK abrogated the protective effects of DLAT against mitochondrial dysfunction and DKD. Notably, we identified Hyperforin (HPF), a phytochemical, as a potential therapeutic agent. HPF activates DLAT and AMPK, subsequently ameliorating renal dysfunction, injuries, and fibrosis in both in vivo and in vitro models. In summary, our study underscores the pivotal role of DLAT and AMPK in kidney health and highlights the therapeutic potential of HPF in treating DKD.

A comparative analysis of vacuum assisted closure therapy and conventional dressings: outcomes in chronic diabetic foot ulcers among Indian patients

Background: India faces a growing diabetes epidemic, with approximately 77 million individuals affected. Chronic non-healing diabetic foot ulcers (DFUs) are a common complication of diabetes and a major healthcare challenge in Conventional wound care methods often result in prolonged healing times, increasing the risk of infection, hospitalization, and amputations. Vacuum-assisted closure (VAC) therapy, a modern treatment modality, offers a potentially more effective approach to managing these ulcers. Methods: This prospective, observational study was conducted at a tertiary care hospital in India from March 2022 to March 2024. One hundred patients with chronic non-healing DFUs were randomized into VAC therapy or conventional dressing groups. The primary outcomes included wound size reduction and healing time, while secondary outcomes involved patient satisfaction and cost-effectiveness. Results: VAC therapy significantly reduced wound size (65.2% vs. 40.5%) and shortened healing time (6.2 vs. 10.9 weeks) compared to conventional dressings. Additionally, VAC therapy led to higher patient satisfaction and proved more cost-effective due to fewer dressing changes and shorter hospital stays. Conclusions: VAC therapy outperforms conventional dressings in managing DFUs, offering faster healing, better patient satisfaction, and cost-effectiveness. Expanding its use in India could greatly improve diabetic foot care outcomes.

Relationship between serum level of miR-338-3p and miR-105-3p and bone metabolic markers in patients with diabetes nephropathy

Objectives Diabetic nephropathy (DN) is one of the most common and serious complications of diabetes. The purpose of this study was to explore the relationship between serum microRNA-338-3p (miR-338-3p) and miR-105-3p and bone metabolic markers in patients with DN at different stages. Methods A total of 153 patients diagnosed and treated in the Department of Nephrology from July 2020 to October 2021 were selected as the study objects. According to the staging criteria of diabetic nephropathy and 24-h urinary albumin quantitative level, the patients were divided into control group (35 cases), microalbuminuria group (37 cases), clinical stage albuminuria group (27 cases) and renal failure group (54 cases). Gene expressions were measured by real-time fluorescence quantitative PCR. The correlation was analyzed by Spearman. Serum miR-338-3p and miR-150-5p in the prediction of renal failure in DN was analyzed by ROC curve. Results The levels of urinary albumin and serum creatinine were markedly increased with the increase of DN stage (p < 0.05). Compared with the microalbuminuria group, the expression levels of serum miR-383-3p, serum miR-105-3p, 25(OH)-D, BGP and PINP were obviously decreased, but the expression of parathyroid hormone (PTH) and type I collagen (β-CTX) was largely increased in clinical proteinuria group (p < 0.05). Compared with the clinical proteinuria group, the expression levels of serum miR-383-3p, serum miR-105-3p, 25(OH)-D, BGP and PINP were largely decreased, but the expression of PTH and β-CTX was obviously increased in the renal failure group (p < 0.05). Spearman correlation results showed that serum expressions of miR-383-3p and miR-105-3p were negatively correlated with PTH and β-CTX, and positively correlated with 25(OH)-D, BGP and PINP (p < 0.05). ROC curve analysis showed that the AUC of serum miR-338-3p and miR-150-5p was 0.896 with the specificity and sensitivity of 96.66% and 73.47%, which had certain predictive value for the occurrence of renal failure in DN. Conclusions The expression levels of serum miR-383-3p and miR-105-3p were significantly correlated with bone metabolism markers. The combined test can provide new ideas and insights for the clinical treatment of osteoporosis in DN.

Low muscle strength rather than low muscle mass is associated with cardiovascular autonomic neuropathy in patients with type 2 diabetes

Several studies have investigated whether sarcopenia is associated with diabetic microvascular complications, but very few have examined associations between sarcopenia and cardiovascular autonomic neuropathy (CAN) in patients with type 2 diabetes mellitus (T2DM). Therefore, we investigated associations of muscle strength (handgrip strength [HGS]) and mass (appendicular skeletal muscle mass index [ASMI]) and CAN in patients with T2DM. We enrolled 342 patients in this retrospective, cross-sectional study. Cardiovascular reflex tests were used to assess CAN according to Ewing’s protocol. Relative HGS was determined after normalizing absolute HGS to body weight (HGS/body weight [kg]). We defined low HGS and low ASMI according to a consensus report of the Asian Group for Sarcopenia. Logistic regression analyses were carried out to assess the associations between relative HGS or ASMI quartiles and the presence of CAN in patients with T2DM. The prevalence rates of CAN, low HGS, and low ASMI in the study subjects were 34.8%, 17.3%, and 18.7%, respectively. Low HGS was significantly more prevalent in patients with CAN than those without CAN (23.5% vs. 13.9%, p = 0.025). The CAN scores were significantly and negatively correlated with relative HGS but not with ASMI. Relative HGS was negative correlated with age, glycated hemoglobin, fasting plasma glucose, hsCRP, body mass index, and HOMA-IR and positively correlated with ASMI. The prevalence of CAN gradually increased with decreasing quartile of relative HGS (28.4% in Q4, 31.8% in Q3, 34.2% in Q2, and 45.3% in Q1, p = 0.02 for trend). Multivariable-adjusted prevalence ratios (PRs) for CAN, determined by comparing the first, second, and third quartiles with the fourth quartile of relative HGS, were 4.4 with a 95% confidence interval (95% CI) of [1.1 to 17.3]), 2.3 (95% CI [0.8 to 6.9]), and 1.2 (95% CI [0.4 to 3.7]), respectively. The prevalence of CAN and the PRs (95% [CI]) for CAN based on ASMI were not statistically significant. Our findings suggest that low muscle strength rather than low muscle mass was significantly associated with the presence of CAN. Therefore, HGS testing could help identify patients who would benefit from screening for earlier diagnosis of CAN.

Beyond Blood Sugar: Low Awareness of Kidney Disease among Type 2 Diabetes Mellitus Patients in Dalmatia—Insights from the First Open Public Call

Background and Objectives: Kidney disease (KD) is a common complication of diabetes mellitus (DM) associated with adverse outcomes of renal failure, cardiovascular disease, and mortality. The aim of this study was to determine the prevalence and awareness of the KD among the DM type 2 (T2DM) patients. Materials and Methods: This cross-sectional study was conducted at the University Hospital of Split between November and December of 2023 during an open call for DM patients. For each participant, blood and urine samples, along with relevant medical information, were collected, and adherence to the Mediterranean diet (MeDi) was assessed using the Mediterranean Diet Service Score (MDSS). Furthermore, blood pressure was measured, along with body composition and anthropometric parameters. Results: Of 252 T2DM patients with a median age of 67 years (IQR: 60–73), 130 (51.6%) were women. The median duration of T2DM was 10 years (IQR: 6–20). Despite the fact that 80.95% of total participants reported receiving dietary guidelines from any source, only 53.2% reported adhering to the suggested instructions, while according to the MDSS, only 7.2% adhered to the MeDi. The median body mass index was 27.6 kg/m2 (24.2–31), with 70.1% of participants overweight or obese. Only 6% of participants believed they had KD, but after blood and urine sample analysis, 31% were found to have KD. Conclusions: This study highlights a significant gap in awareness of KD, low adherence to MeDi, and a high prevalence of obesity among T2DM patients. Due to the increasing number of T2DM patients, it is crucial to improve healthy lifestyle education and make modifications within this group, as well as perform regular screening for KD and medical check-ups.

Sparse-View Photoacoustic Reconstruction Method for Diabetic Retinopathy Using Feature Fusion Network.

Diabetic retinopathy is one of the most prevalent microvascular complications of diabetes mellitus, and photoacoustic imaging is an effective method for imaging diabetic retinal vessels. Photoacoustic imaging is an emerging noninvasive imaging method based on the photoacoustic effect, which offers advantages of contrast, resolution, and depth imaging. Appropriate photoacoustic reconstruction methods are essential for obtaining high-quality photoacoustic images. In this study, a multi-input self-attention multiscale feature fusion network (SAMF-Net) is proposed for photoacoustic reconstruction. The algorithm accepts two inputs, namely the original photoacoustic signal and the traditional reconstructed image. Furthermore, a global feature extraction module based on the self-attention mechanism is employed to focus on the global information. The results demonstrate that the proposed method exhibits superior reconstruction capability under different sparse detection views. The method has instructive value for photoacoustic image reconstruction and has the potential for further application in the diagnosis of diabetic retinopathy.

Unveiling the Role of Schwann Cell Plasticity in the Pathogenesis of Diabetic Peripheral Neuropathy

Diabetic peripheral neuropathy (DPN) is a prevalent complication of diabetes that affects a significant proportion of diabetic patients worldwide. Although the pathogenesis of DPN involves axonal atrophy and demyelination, the exact mechanisms remain elusive. Current research has predominantly focused on neuronal damage, overlooking the potential contributions of Schwann cells, which are the predominant glial cells in the peripheral nervous system. Schwann cells play a critical role in neurodevelopment, neurophysiology, and nerve regeneration. This review highlights the emerging understanding of the involvement of Schwann cells in DPN pathogenesis. This review explores the potential role of Schwann cell plasticity as an underlying cellular and molecular mechanism in the development of DPN. Understanding the interplay between Schwann cell plasticity and diabetes could reveal novel strategies for the treatment and management of DPN.

Hypomagnesaemia and Relationship Lipid Profile in Type 2 Diabetes Patients at Janzur Hospital in Libya.

Type 2 diabetes mellitus (T2DM) is associated with increased morbidity and mortality due to the development of complications, especially due to poor glycemic control. Magnesium (Mg) is a crucial element in human health, and its deficiency plays a critical role in the development of lipid abnormalities and the initiation of diabetic complications. The study aimed to evaluate the correlation of hypomagnesemia (Mg) with the alteration of lipid profile patterns and investigate the adverse effects of glycemic control and body mass index (BMI) on magnesium levels among patients with T2DM. A total of 163 subjects whose ages ranged between 35-60 years for both sexes (males and females) were included in this study: 90 type II diabetic patients (40 males and 50 females) and 73 healthy individuals (34 males and 39 females) in Tripoli region, Western Libya. Blood glucose, HbA1c, Magnesium, and lipid profile parameters were biochemically estimated in the study along with the measurement of BMI. All the results were statistically analyzed using SPSS version 25 for applying one-way ANOVA and Person's correlation coefficient tests. The study revealed a significant decrease in serum magnesium levels (1.59 ± 0.47 mg/dL) in T2DM patients compared to the control group (2.21 ± 0.70 mg/dL) (p &lt; 0.01). Significantly elevated levels of blood glucose (140.6 ± 30.95 mg/dL vs. 89.80 ± 12.62 mg/dL, p &lt; 0.01), HbA1c (7.27 ± 2.62% vs. 5.32 ± 0.65%, p &lt; 0.01), cholesterol, triglycerides and LDL cholesterol also observed in T2DM patients compared to healthy individuals. Conversely, HDL cholesterol levels were significantly lower in the T2DM group than in controls (24.44 ± 8.88 mg/dL vs. 47.06 ± 8.75 mg/dL, p &lt; 0.01). There is a relationship between hypomagnesemia, glycemic control, and changed lipid profile in T2DM patients. Further, our results revealed a strong relationship between increased BMI and unfavorable alterations in all biochemical parameters examined.

New insights on genetic background of major diabetic vascular complications

BackgroundBy 2045, it is expected that 693 million individuals worldwide will have diabetes and with greater risk of morbidity, mortality, loss of vision, renal failure, and a decreased quality of life due to the devastating effects of macro- and microvascular complications. As such, clinical variables and glycemic control alone cannot predict the onset of vascular problems. An increasing body of research points to the importance of genetic predisposition in the onset of both diabetes and diabetic vascular complications.ObjectivesPurpose of this article is to review these approaches and narrow down genetic findings for Diabetic Mellitus and its consequences, highlighting the gaps in the literature necessary to further genomic discovery.Material and methodsIn the past, studies looking for genetic risk factors for diabetes complications relied on methods such as candidate gene studies, which were rife with false positives, and underpowered genome-wide association studies, which were constrained by small sample sizes.ResultsThe number of genetic findings for diabetes and diabetic complications has over doubled due to the discovery of novel genomics data, including bioinformatics and the aggregation of global cohort studies. Using genetic analysis to determine whether diabetes individuals are at the most risk for developing diabetic vascular complications (DVC) might lead to the development of more accurate early diagnostic biomarkers and the customization of care plans.ConclusionsA newer method that uses extensive evaluation of single nucleotide polymorphisms (SNP) in big datasets is Genome-Wide Association Studies (GWAS).

From Life's Essential 8 to metabolic syndrome: insights from NHANES database and network pharmacology analysis of quercetin.

Metabolic syndrome (MetS), or syndrome X, is a collection of metabolic illnesses that affect the body's health, particularly insulin resistance and obesity. The prevalence of MetS is on the rise, particularly among younger individuals. Quercetin, a natural flavonoid found in many traditional Chinese medicines, can impact various pathways to disrupt the pathological advancement of MetS with few negative effects. The American Heart Association recently introduced a cardiovascular health assessment termed Life's Essential 8 (LE8), which might impact the treatment of MetS. Quercetin targets and their functions in MetS pathways were identified using a network pharmacology method and molecular docking techniques. The study examined quercetin's direct and indirect interactions with proteins linked to the pathogenic processes of MetS. Data were collected regarding the American Heart Association's LE8 cardiovascular health indicators, which include health behaviors (diet, physical activity, nicotine exposure, and sleep) and health factors (body mass index, non-high-density lipoprotein cholesterol, blood glucose, and blood pressure). The study assessed the connection between LE8 and the occurrence of MetS, taking into account dietary quercetin consumption as a variable of interest. The negative correlation between MetS and LE8 indicates that individuals with higher LE8 scores are less likely to develop MetS. Individuals in the fully adjusted highest group (LE8 ≥ 80) demonstrated a 79% lower likelihood of developing MetS than those in the lowest group (OR = 0.21; 95% CI, 0.17-0.26, p < 0.0001). Network pharmacology and molecular docking results show that quercetin may exert its therapeutic effects by modulating various biological response processes, including those related to xenobiotic stimuli, bacterial molecules, lipopolysaccharides, and oxidative stimuli. These processes involve key pathways associated with diabetic complications, such as the AGE-RAGE signaling pathway, pathways related to diabetic complications, and pathways involved in lipids and atherosclerosis. Therefore, quercetin may reduce cardiovascular risk, improve glucose-lipid metabolism, and alleviate insulin resistance and other biological processes by influencing multiple aspects of the lipid profile, blood glucose, and insulin resistance, ultimately impacting the links between LE8 score and MetS. This study discovered that an optimal LE8 score is a marker of adopting a lifestyle of wellness and is connected with a reduced likelihood of developing MetS. Quercetin acts on core targets such as IL6, BCL2, TP53, IL1B, MAPK1, and CCL2, and then plays a therapeutic role in regulating lipid metabolism, anti-inflammation, immunomodulation, autophagy, etc., through the pathways of diabetic complications, lipids, atherosclerosis, etc., and has the characteristics of multi-targets, multi-pathways, and multi-functions in regulating interventions for MetS.

Bioinformatics analysis of effective biomarkers and immune infiltration in type 2 diabetes with cognitive impairment and aging

With the increasing prevalence of diabetes mellitus worldwide, type 2 diabetes mellitus (T2D) combined with cognitive impairment and aging has become one of the common and important complications of diabetes mellitus, which seriously affects the quality of life of the patients, and imposes a heavy burden on the patients’ families and the society. Currently, there are no special measures for the treatment of cognitive impairment and aging in type 2 diabetes mellitus. Therefore, the search for potential biological markers of type 2 diabetes mellitus combined with cognitive impairment and aging is of great significance for future precisive treatment. We downloaded three gene expression datasets from the GEO database: GSE161355 (related to T2D with cognitive impairment and aging), GSE122063, and GSE5281 (related to Alzheimer’s disease). Differentially expressed genes (DEGs) were identified, followed by gene set enrichment analysis (GSEA). A protein-protein interaction (PPI) network was constructed using the STRING database, and the top 15 hub genes were identified using the CytoHubba plugin in Cytoscape. Core genes were ultimately determined using three machine learning methods: LASSO regression, Support Vector Machine Recursive Feature Elimination (SVM-RFE), and Linear Discriminant Analysis (LDA). The diagnostic performance of these genes was assessed using ROC curve analysis and validated in an independent dataset (GSE5281). Regulatory genes related to ferroptosis were screened from the FerrDb database, and their biological functions were further explored through GO and KEGG enrichment analyses. Finally, the CIBERSORT algorithm was used to analyze immune cell infiltration, and the correlation between core genes and immune cell infiltration levels was calculated, leading to the construction of an mRNA-miRNA regulatory network. In the GSE161355 and GSE122063 datasets, 217 common DEGs were identified. GSEA analysis revealed their enrichment in the PI3K-PLC-TRK signaling pathway, TP53 regulation of metabolic genes pathway, Notch signaling pathway, among others. PPI network analysis identified 15 candidate core genes, and further selection using LASSO, LDA, and SVM-RFE machine learning algorithms resulted in 6 core genes: BCL6, TP53, HSP90AA1, CRYAB, IL1B, and DNAJB1. ROC curve analysis indicated that these genes had good diagnostic performance in the GSE161355 dataset, with TP53 and IL1B achieving an AUC of 0.9, indicating the highest predictive accuracy. BCL6, HSP90AA1, CRYAB, and DNAJB1 also had AUCs greater than 0.8, demonstrating moderate predictive accuracy. Validation in the independent dataset GSE5281 showed that these core genes also had good diagnostic performance in Alzheimer’s disease samples (AUC > 0.6). Ferroptosis-related analysis revealed that IL1B and TP53 play significant roles in apoptosis and immune response. Immune cell infiltration analysis showed that IL1B is significantly positively correlated with infiltration levels of monocytes and NK cells, while TP53 is significantly negatively correlated with infiltration levels of follicular helper T cells. The construction of the miRNA-mRNA regulatory network suggested that miR-150a-5p might play a key role in the regulation of T2D-associated cognitive impairment and aging by TP53. This study, by integrating bioinformatics and machine learning methods, identified BCL6, TP53, HSP90AA1, CRYAB, IL1B, and DNAJB1 as potential diagnostic biomarkers for T2D with cognitive impairment and aging, with a particular emphasis on the significance of TP53 and IL1B in immune cell infiltration. These findings not only enhance our understanding of the molecular mechanisms linking type 2 diabetes to cognitive impairment and aging, providing new targets for early diagnosis and treatment, but also offer new directions and targets for basic research.

7604 Examining Disparities in Diabetes Control and Complications: A Comparative Study of Type 2 Diabetes Mellitus Patients in Rural and Urban Saudi Arabia

Abstract Disclosure: S.F. Alqifari: None. O. Alkomi: None. P. Amirthalingam: None. T. Alrasheed: None. M. Muqresh: None. H. Hamad: None. A. Khojah: None. N. Alshehri: None. B. Alhunayhani: None. B. AbuAlhasan: None. N. Alajlan: None. S. Alatawi: None. N. Alsabeelah: None. A. Wasel: None. A. Alqifari: None. Background: The escalating global prevalence of diabetes is also mirrored in Saudi Arabia. Approximately one in four individuals in the country is diagnosed with diabetes, as reported by the World Health Organization (WHO). The Ministry of Health has taken steps to address the needs of patients with diabetes by creating more than 20 specialized diabetes care centers in various regions throughout Saudi Arabia. However, disparities in access and utilization of primary healthcare facilities persist between rural and urban provinces within the country. Highlighting these disparities would bridge healthcare gaps between rural and urban areas to enhance diabetes management, ensure better access to specialized care, and improve the overall well-being of individuals living with Type 2 Diabetes Mellitus (T2DM) in Saudi Arabia. Objectives: This study aims to examine disparities in diabetes control and complications in patients with T2DM in rural and urban Saudi Arabia. Methods: This is an observational retrospective study conducted from November 2022 until May 2023, we collected data from 13 diabetes care centers across Saudi Arabia to assess diabetes control and complications of T2DM among patients who received their care in rural and urban Saudi Arabia. Results: Among 709 patients residing in rural and urban areas, rural area patients' recent HbA1c readings were generally within the range of 7-8%. Among these patients, around 2.6% had a history of heart disease, and 6.08% had experienced cerebrovascular events. Limb numbness was reported by 44.34% of subjects, 47.82% experienced vision complications, and renal impairment was observed in 10.43% of the participants. Additionally, among male patients, 26.41% suffered from erectile dysfunction. Remarkably, 21% of the rural patients reported having been hospitalized due to diabetes complications at least once in the past 12 months. Conclusion: The study findings emphasize the importance of considering regional disparities and socio-environmental factors when managing diabetes and its complications. Additional research is needed to understand the underlying causes and develop targeted interventions for improved diabetes care in rural and urban populations in Saudi Arabia. Presentation: 6/2/2024

9390 Does Znt8a Have An Association With The Duration Of Diabetes? Case Series And Literature Review

Abstract Disclosure: N.M. Rivera Vargas: None. C.S. Botero Suarez: None. S.K. Suryanarayanan: None. S. Saad-Omer: None. Context: Latent autoimmune Diabetes of adults (LADA) is a form of autoimmune diabetes with features of Type 2 Diabetes but positive autoantibodies resembling Type 1 Diabetes. Latent autoimmune diabetes in adults (LADA), has a mixed phenotype with positive islet-cell antibodies (ICA), glutamic acid decarboxylase autoantibodies (GADA), protein tyrosine phosphatase autoantibodies (IA2A), insulin autoantibodies (IAA), or zinc transporter-8 autoantibodies (ZnT8A). Since the discovery of ZnT8A, the relevance and clinical utility of this marker has sparked interest. Although ZnT8A is used as a complementary diagnostic aid in children, its utility in adults seems to be unclear. Objective: We report a case series of 26 subjects referred to the Orlando VA Endocrine clinic with measured ZnT8A. We hypothesize that higher ZnT8A will be found in adult autoimmune diabetes with newly diagnosed diabetes rather than those with a longer duration of diabetes. We also explore the association between ZnT8A and family history, duration of diabetes, diabetes complications, and C-peptide levels. Method: A case series of 26 adult patients with diabetes mellitus with a positive ZnT8A (≥15 U/mL). We reviewed medical records of these cases to include ZnT8A levels, years of diabetes diagnosis, C-peptide levels, and diabetes complications. Patients were classified into subgroups based on ZnT8A levels into &amp;lt; 350 U/mL or ≥ 350 U/mL. Results: The 26 patients reviewed had a mean (SD) age of 46 (13) years. The mean (SD) duration of diabetes was 16 (12) years, and HbA1C was 8.4 (1.1) %. Poisson regression analysis showed a statistically significant inverse relationship between ZnT8A and years of diabetes (regression coefficient: -0.028; 95% confidence interval: -0.03 to -0.25; p-value &amp;lt;0.001). Diabetic ketoacidosis was present in 35% of subjects, while diabetic neuropathy was noted in 58% of subjects with positive ZnT8A. Patients with a high ZnT8Ab above 350 U/mL displayed a weak trend towards a lower C-peptide mean (p-value 0.42), and lower prevalence of DKA (p-value 0.42) which was not statistically significant. Conclusion: In this case series of patients with adult-onset diabetes, there seems to be a statistically significant inverse relationship between ZnT8A levels and duration of diabetes suggesting a reduction of ZnT8A levels over time. Although limited by a small number of subjects, this may suggest the need for screening with autoantibodies in the setting of diabetes earlier in the disease process. Presentation: 6/2/2024

8336 Glycemic Control and Associated Factors During Transition in Youths with Childhood-onset Type 2 Diabetes Mellitus

Abstract Disclosure: J. Yoo: None. H. Woo: None. M. Gu: None. J. Kim: None. Y. Lee: None. C. Shin: None. Y. Lee: None. Background: Childhood-onset type 2 diabetes has increased risk of early diabetes-related complications due to accelerated loss of pancreatic beta cell function. However, no second-choice anti-diabetic drug(such as GLP1 receptor agonists and SGLT2 inhibitors), other than metformin and insulin, is approved to be administered in pediatric patients with type 2 diabetes in South Korea. This study aimed to describe microvascular complications (nephropathy and eye disease) of youths with childhood-onset type 2 diabetes, investigate trends of glycemic control of patients and associated factors across transition period, and analyze change in glycemic control after adding 2nd-choice drug. Method: Among the patients who were treated for type 2 diabetes at Seoul National University Hospital since 2001, 84 patients who were diagnosed under age 18 and reached at age 20 or more on July, 2023 were included. Data of HbA1c, diabetes duration, administered medication, and diabetic complications were collected. Changes in HbA1c from 19 to 22 years of age (transition period) were investigated, and sex, age at diagnosis, and glycemic control at age 19 were analyzed as associated factors. Result: The average age of diagnosis and last follow-up was 14 years and 24.9 years respectively, and the median duration of diabetes was 9.6 years. At the last follow-up, complications developed in 28 patients (33.7%), and the prevalence was 25.3% for nephropathy and 20.6% for eye disease. At the occurrence of complications, the median diabetes duration was 6.2 years for microalbuminuria and 11.3 years for ophthalmic complications. During the transition period, HbA1c showed a significant decline from 8.3% to 7.7% (p=0.007). During this phase HbA1c decreased more significantly in the female (vs. male), in the patients with diagnostic age &amp;lt;15 years (vs. &amp;gt;15 years old), and patients with HbA1c 7% or above at 19-year-old visit(vs. &amp;lt; 7%). During entire follow-up, 59 patients (70%) received diabetes drugs other than metformin and insulin. At diagnosis, the proportion of patients treated with insulin accounted for 55%. At last visit, only few patients were maintained with metformin alone, and most patients required insulin or 2nd-choice antidiabetic drug. Analysis of HbA1c changes in 59 patients with the addition of 2nd-choice drug showed a decrease to 8.5% after 1 year (p=0.006) and to 8.1% at the last visit(p=0.017). Conclusion: Diabetic complications were observed in one-thirds of youths with type 2 diabetes at last follow-up in this study. Glycemic control during transition period to adulthood showed improvement, and factors that influence HbA1c improvement included female, younger age at diagnosis, and better glycemic control at age 19. There is a need to lower the insurance age criteria of South Korea for 2nd-choice antidiabetic drugs, considering that glycemic control significantly improved after adding the 2nd-choice drugs. Presentation: 6/1/2024

7555 Gender-Related Differences in Outcomes of Patients With Diabetic Ketoacidosis: An Analysis of the National Readmission Database

Abstract Disclosure: E. Ahsan: None. C. Lesniak: None. M. Akula: None. K. Hu: None. K. Chalasani: None. R. Ong: None. S. Holland: None. M. Hossain: None. J. Cheng: None. J. Heaton: None. Introduction: Diabetic ketoacidosis (DKA), one of the most serious complications of diabetes, is a significant cause of morbidity and mortality. Hospitalizations for DKA have increased significantly over the past two decades. Despite this, there is a notable absence of data on gender-related variations in the clinical characteristics and outcomes of individuals hospitalized with DKA. Understanding these distinctions is crucial for optimizing disease prevention and care. Thus, the primary aim of this study was to explore whether gender influences the outcomes of DKA. Methodology: We analyzed the National Readmissions Database (NRD) from 2016 to 2020 by evaluating patients admitted with a primary diagnosis of DKA without coma. Patients were included if they were at least 18 years old and admitted between January and November. Patients meeting inclusion criteria were stratified by sex. The groups were assessed for 30-day readmissions, all causes of mortality, length of stay, and total cost. Descriptive statistics, Cox proportional hazards, and adjusted Wald tests were used to compare the groups. Results: Between 2016 and 2020, 642,431 patients met the inclusion criteria with a median age of 44, of which 46.5% were female and 53.5% were male. Early readmission occurred in 33,639.20 females and 31,101.92 males. Cox regression analysis showed a significant difference in readmission risk for female patients than males (HR 1.20, 95% CI 1.17-1.22, P = &amp;lt;0.001). The length of stay was higher in male patients than in female patients (adjusted Wald test, P =&amp;lt;0.001). Inpatient mortality was higher in females than in males (Cox regression analysis, P = 0.009). Total cost was higher in males compared to females (adjusted Wald test, P = &amp;lt;0.001). Conclusion: Regrettably, the majority of studies on diabetic ketoacidosis (DKA) have not given due attention to gender differences. Our study, however, reveals statistically significant variations in in-hospital mortality and 30-day readmission rates between men and women hospitalized with DKA, with women exhibiting higher rates than men. Additionally, the length of stay and total cost were found to be higher for men. To comprehend the underlying reasons for these distinctions, further investigations are warranted. Early introduction and intensification of insulin therapy may prove beneficial for this patient group in mitigating the risk of DKA and other complications associated with diabetes mellitus. Presentation: 6/2/2024

7568 Sickle Cell Variant Promotes Glycemic Dysregulation In A Mouse Model Of Human Sickle Cell Trait And Sickle Cell Disease

Abstract Disclosure: J.L. Zapater: None. B.T. Layden: None. Since cases of type 2 diabetes mellitus (T2DM) are rising due to environmental and societal factors, it is estimated that in the coming decades that T2DM will affect twenty percent of the United States population and that mortality from diabetic complications will continue to rise. It is therefore critical to accurately diagnose and treat T2DM early, however this proves difficult in certain populations. Sickle cell anemia is a common hemoglobinopathy in which changes in red blood cell turnover lead to inaccurate measurement of hemoglobin A1c and incongruencies between this and other glucose measures, making it difficult to establish a diagnosis of T2DM. The sickle cell variant has been linked to higher hemoglobin A1c, and with 1-in-10 African Americans having the sickle cell trait (SCT), an increasing prevalence of sickle cell disease (SCD), and a higher risk of diabetic complications in those with SCT or SCD, it is critical that we elucidate the precise mechanisms by which the sickle cell variant affects glycemic homeostasis. In this work, we utilized a mouse model of human sickle cell anemia to begin to determine the biochemical mechanisms governing glucose handling in the presence of the sickle cell variant by examining glycemic homeostasis under normal and obesogenic conditions. Townes sickle cell mice containing human hemoglobin with either two normal β-globin chains (littermate controls) or one normal and one sickle β-globin chain (SCT) were placed on either a normal chow diet or on a high fat diet (HFD) until 20 weeks of age to induce an obesogenic state. Although no overt glycemic phenotype was noted, 20-week-old HFD-fed SCT mice exhibited an increased glucose excursion following an oral glucose load compared to littermate controls. Though serum insulin levels were comparable, HFD-fed SCT mice also exhibited a reduced whole-body insulin sensitivity during insulin tolerance testing compared to controls, correlating with the noted increased glycemic excursion. With these findings, we have initiated work with Townes mice containing two normal α-chains and two sickle β-chains (SCD), which is found in human sickle cell anemia. Early results show that chow-fed SCD mice exhibit greater random and fasting glucose levels at 8 and 12 weeks of age, despite similar fasting insulin levels. These findings suggest that the presence of one sickle β-globin chain, as in SCT, promotes hyperglycemia in the obesogenic state through reduction of whole-body insulin sensitivity. Furthermore, the presence of two sickle β-globin chains, as in SCD, is sufficient to dysregulate glycemic control under normal conditions. In total, these findings demonstrate that the presence of the sickle cell variant promotes glucose dysregulation and hyperglycemia, meaning that it is essential to understand the glycemic regulation in patients with sickle cell trait and sickle cell anemia. Presentation: 6/1/2024

8455 Denosumab Is Associated With Decreased Mortality Compared To Zoledronic Acid In Diabetic Osteoporotic Patients: A Population-Based Cohort Study

Abstract Disclosure: V. Rouach: Consulting Fee; Self; Amgen Inc. H. Gortler: None. Y. Greenman: None. C. Gabriel: None. G. inbalL: None. Background: Anti-resorptive therapies are the mainstay of osteoporosis management, but evidence of their efficacy in the diabetic population is limited and comparison between treatments is lacking. A retrospective analysis, presented at the American Society for Bone and Mineral Research (ASBMR) 2023 Annual Meeting, suggests that denosumab leads to greater reduction in fracture risk than zoledronic acid among treatment-naive postmenopausal women with osteoporosis. However, a comparative study recently published suggests higher mortality with denosumab versus oral bisphosphonates. Aim: To assess the association between zoledronic acid or denosumab and the risk of major osteoporotic fracture and mortality in osteoporotic patients with diabetes type 2. Methods: The study population was identified by electronic records of a diabetes registry cross-linked with an osteoporosis registry of a large provider healthcare organization in Israel. Index date was at osteoporosis registry entry. Demographics, Comorbidity Index (CCI), diabetes complications, bone mineral density (BMD) T-scores, hemoglobin A1c levels, eGFR, purchase of statins, and anti-resorptive agents were collected. Propensity score matching was performed. Kaplan-Meier curves were generated to assess the time to outcomes. Multivariable Cox's proportional hazards survival model was performed. Results: A total of 27503 diabetic osteoporotic patients were identified, 13343 (48%) patients initiated treatment; 12214 (91.5%) started an oral bisphosphonate, 627 (4.7%) zoledronic acid and 502 (3.7%) denosumab. The median follow-up was 8.9 years. The denosumab treated patients were older (75.7 vs 71.9, p&amp;lt;0.01), had longer diabetes duration (8.4 vs 7.2, p&amp;lt;0.01), were more frequently treated with insulin (29.7 vs 23.9, p=0.02) and had a lower eGFR (59.4 vs 75.3, p&amp;lt;0.01). Male/Female ratio, BMI, CCI, smoking status, alcohol consumption, Hip BMD, HbA1c levels, microvascular complications, hypoglycemic events and statins prescriptions were similar. After propensity weighting, we observed a significant reduced risk of death among the denosumab treated patients (RR=0.72 [0.58-0.91]) without a significant difference in the risk of fracture (RR=0.9 [0.82-1.12]). Conclusions: In this cohort of diabetic osteoporotic patients, denosumab was associated with a significantly reduced mortality compared to zoledronic acid, without a significant difference in the risk of fractures. The effect of denosumab on mortality is yet to be explored. Presentation: 6/1/2024

9236 Denosumab Is Associated With Decreased Mortality Compared To Zoledronic Acid In Diabetic Osteoporotic Patients: A Population-Based Cohort Study

Abstract Disclosure: V. Rouach: Consulting Fee; Self; Amgen Inc. H. Gortler: None. Y. Greenman: None. C. Gabriel: None. G. inbalL: None. Background: Anti-resorptive therapies are the mainstay of osteoporosis management, but evidence of their efficacy in the diabetic population is limited and comparison between treatments is lacking. A retrospective analysis, presented at the American Society for Bone and Mineral Research (ASBMR) 2023 Annual Meeting, suggests that denosumab leads to greater reduction in fracture risk than zoledronic acid among treatment-naive postmenopausal women with osteoporosis. However, a comparative study recently published suggests higher mortality with denosumab versus oral bisphosphonates. Aim: To assess the association between zoledronic acid or denosumab and the risk of major osteoporotic fracture and mortality in osteoporotic patients with diabetes type 2. Methods: The study population was identified by electronic records of a diabetes registry cross-linked with an osteoporosis registry of a large provider healthcare organization in Israel. Index date was at osteoporosis registry entry. Demographics, Comorbidity Index (CCI), diabetes complications, bone mineral density (BMD) T-scores, hemoglobin A1c levels, eGFR, purchase of statins, and anti-resorptive agents were collected. Propensity score matching was performed. Kaplan-Meier curves were generated to assess the time to outcomes. Multivariable Cox's proportional hazards survival model was performed. Results: A total of 27503 diabetic osteoporotic patients were identified, 13343 (48%) patients initiated treatment; 12214 (91.5%) started an oral bisphosphonate, 627 (4.7%) zoledronic acid and 502 (3.7%) denosumab. The median follow-up was 8.9 years. The denosumab treated patients were older (75.7 vs 71.9, p&amp;lt;0.01), had longer diabetes duration (8.4 vs 7.2, p&amp;lt;0.01), were more frequently treated with insulin (29.7 vs 23.9, p=0.02) and had a lower eGFR (59.4 vs 75.3, p&amp;lt;0.01). Male/Female ratio, BMI, CCI, smoking status, alcohol consumption, Hip BMD, HbA1c levels, microvascular complications, hypoglycemic events and statins prescriptions were similar. After propensity weighting, we observed a significant reduced risk of death among the denosumab treated patients (RR=0.72 [0.58-0.91]) without a significant difference in the risk of fracture (RR=0.9 [0.82-1.12]). Conclusions: In this cohort of diabetic osteoporotic patients, denosumab was associated with a significantly reduced mortality compared to zoledronic acid, without a significant difference in the risk of fractures. The effect of denosumab on mortality is yet to be explored. Presentation: 6/1/2024

7050 Effect of Spironolactone On Reducing Sugar-Induced Cellular Damage In MC3T3-E1 Osteoblastic Cells

Abstract Disclosure: S. Yun: None. H. Sang: None. S. Park: None. K. Suh: None. H. Kim: None. S. Chin: None. Background: In diabetes, prolonged hyperglycemia causes oxidative stress, resulting in pancreatic beta cells' dysfunction and diabetic complications. Oxidative stress can inhibit osteoblast differentiation and induce dysfunction and apoptosis. Spironolactone is an aldosterone antagonist used to treat hypertension and heart failure. In this study, we observed whether spironolactone can reduce osteoblast cytotoxicity and differentiation caused by oxidative stress induced by 2-deoxy-d-ribose (dRib). Methods: MC3T3-E1 cells were treated with spironolactone (0-100 uM) in the presence of 15 mM dRib. The cytotoxicity (lactate dehydrogenase, LDH) and differentiation (collagen content, alkaline phosphatase [ALP] activity, and mineralization) of osteoblasts, inflammatory cytokines (tumor necrosis factor-α [TNF-α], interleukin [IL]-6), oxidative stress (reactive oxygen species [ROS], mitochondrial superoxide), endoplasmic reticulum (ER) stress (activating transcription factor 6 [ATF-6], inositol-requiring 1 [IRE1]), mitochondrial function (mitochondrial membrane potential [MMP], adenosine triphosphate [ATP]), glyoxalase I activity, and glutathione (GSH) were measured. Results: Pretreatment of MC3T3-E1 osteoblastic cells with spironolactone prevented the dRib-induced cytotoxicity of osteoblasts and promoted differentiation of osteoblasts suppressed by dRib. Spironolactone significantly reduced dRib-induced inflammatory cytokines, ROS, mitochondrial superoxide, and ER stress. dRib-induced mitochondrial dysfunction was significantly improved by treatment with spironolactone. dRib is detoxified by the glyoxalase system. Pretreatment with spironolactone also increased the level of reduced GSH and the activity of glyoxalase I in dRib. Conclusion: Spironolactone could reduce dRib-induced cytotoxicity and promote differentiation in MC3T3-E1 osteoblastic cells by reducing oxidative stress and inflammatory cytokines, increasing mitochondrial biogenesis, and detoxifying dRib. These results suggest that spironolactone can be useful in the prevention and treatment of diabetic bone disease. Presentation: 6/1/2024