Diabetic Microvascular Complications Research Articles

Genetic Association between Lipid-Regulating Drug Targets and Diabetic Retinopathy: A Drug Target Mendelian Randomization Study

Background. Diabetic retinopathy (DR) is a diabetic microvascular complication and a leading cause of vision loss. However, there is a lack of effective strategies to reduce the risk of DR currently. The present study is aimed at assessing the causal effect of lipid-regulating targets on DR risk using a two-sample Mendelian randomization (MR) study. Method. Genetic variants within or near drug target genes, including eight lipid-regulating targets for LDL-C (HMGCR, PCSK9, and NPC1L1), HDL-C (CETP, SCARB1, and PPARG), and TG (PPARA and LPL), were selected as exposures. The exposure data were obtained from the IEU OpenGWAS project. The outcome dataset related to DR was obtained from the FinnGen research project. Inverse-variance-weighted MR (IVW-MR) was used to calculate the effect estimates by each target. Sensitivity analyses were performed to verify the robustness of the results. Results. There was suggestive evidence that PCSK9-mediated LDL-C levels were positively associated with DR, with OR (95% CI) of 1.34 (1.02-1.77). No significant association was found between the expression of HMGCR- and NPC1L1-mediated LDL-C levels; CETP-, SCARB1-, and PPARG-mediated HDL-C levels; PPARA- and LPL-mediated TG levels; and DR risk. Conclusions. This is the first study to reveal a genetically causal relationship between lipid-regulating drug targets and DR risk. PCSK9-mediated LDL-C levels maybe positively associated with DR risk at the genetic level. This study provides suggestive evidence that PCSK9 inhibition may reduce the risk of DR.

The role and therapeutic potential of macrophages in the pathogenesis of diabetic cardiomyopathy

This review provides a comprehensive analysis of the critical role played by macrophages and their underlying mechanisms in the progression of diabetic cardiomyopathy (DCM). It begins by discussing the origins and diverse subtypes of macrophages, elucidating their spatial distribution and modes of intercellular communication, thereby emphasizing their significance in the pathogenesis of DCM. The review then delves into the intricate relationship between macrophages and the onset of DCM, particularly focusing on the epigenetic regulatory mechanisms employed by macrophages in the context of DCM condition. Additionally, the review discusses various therapeutic strategies aimed at targeting macrophages to manage DCM. It specifically highlights the potential of natural food components in alleviating diabetic microvascular complications and examines the modulatory effects of existing hypoglycemic drugs on macrophage activity. These findings, summarized in this review, not only provide fresh insights into the role of macrophages in diabetic microvascular complications but also offer valuable guidance for future therapeutic research and interventions in this field.

Prevalence and determinants of microvascular and macrovascular complications of diabetes in acromegaly patients: A prospective case-control cross-sectional study

Prevalence and determinants of microvascular and macrovascular complications of diabetes in acromegaly patients: A prospective case-control cross-sectional study

Investigating the causal association of generalized and abdominal obesity with microvascular complications in patients with type 2 diabetes: A community-based prospective study.

The paradoxical protective association between overweight/obesity and diabetic microvascular complications (DMC), a phenomenon well-known as the obesity paradox, has been considered a non-causal association based on methodological influences. We aimed to investigate the association of generalized and abdominal obesity, as measured by body mass index (BMI) and waist circumference (WC), respectively, with DMC in patients with type 2 diabetes (T2D), using a causal inference approach. We enrolled 1436 patients with clinically diagnosed T2D but not DMC at baseline in a community-based prospective cohort in China between 2017 and 2019 and followed them annually until 2022 with new-onset DMC recorded. Marginal structural Cox models with inverse probability weighting were constructed to determine the causal association. Subgroup analyses were performed to identify potential effect modifiers. We observed 360 incident DMC cases, including 109 cases of diabetic nephropathy (DN) and 277 cases of diabetic retinopathy (DR) during four follow-up visits. Multivariable-adjusted hazard ratios (95% confidence intervals) for overall DMC, DN and DR were 1.037 (1.005-1.071), 1.117 (1.062-1.175) and 1.018 (0.980-1.059) for 1 kg/m2 increase in BMI, and 1.005 (0.994-1.017), 1.034 (1.018-1.051) and 1.000 (0.987-1.014) for 1 cm increase in WC, respectively. Similar patterns were observed across the BMI and WC categories, while the positive association appeared to be more pronounced in women. Generalized but not abdominal obesity was associated with an increased risk for the overall DMC, whereas both obesities were causally related to DN, albeit not DR, in T2D. Routine weight management should not be neglected in diabetes care, particularly in women.

The role of long non-coding RNAs in the development of diabetic kidney disease and the involved clinical application.

Diabetic kidney disease (DKD), one of the common microvascular complications of diabetes, is increasing in prevalence worldwide and can lead to End-stage renal disease. However, there are still gaps in our understanding of the pathophysiology of DKD, and both current clinical diagnostic methods and treatment strategies have drawbacks. According to recent research, long non-coding RNAs (lncRNAs) are intimately linked to the developmental process of DKD and could be viable targets for clinical diagnostic decisions and therapeutic interventions. Here, we review recent insights gained into lncRNAs in pathological changes of DKD such as mesangial expansion, podocyte injury, renal tubular injury, and interstitial fibrosis. We also discuss the clinical applications of DKD-associated lncRNAs as diagnostic biomarkers and therapeutic targets, as well as their limitations and challenges, to provide new methods for the prevention, diagnosis, and treatment of DKD.

Fucoidan Improves Early Stage Diabetic Nephropathy via the Gut Microbiota-Mitochondria Axis in High-Fat Diet-Induced Diabetic Mice.

Diabetic nephropathy (DN) is a common microvascular complication of diabetes. Fucoidan, a polysaccharide containing fucose and sulfate group, ameliorates DN. However, the underlying mechanism has not been fully understood. This study aimed to explore the effects and mechanism of fucoidan on DN in high-fat diet-induced diabetic mice. A total of 90 C57BL/6J mice were randomly assigned to six groups (n = 15) as follows: normal control (NC), diabetes mellitus (DM), metformin (MTF), low-dose fucoidan (LFC), medium-dose fucoidan (MFC), and high-dose fucoidan (HFC). A technique based on fluorescein isothiocyanate (FITC-sinistin) elimination kinetics measured percutaneously was applied to determine the glomerular filtration rate (GFR). After 24 weeks, the mice were sacrificed and an early stage DN model was confirmed by GFR hyperfiltration, elevated urinary creatinine, normal urinary albumin, tubulointerstitial fibrosis, and glomerular hypertrophy. Fucoidan significantly improved the GFR hyperfiltration and renal fibrosis. An enriched SCFAs-producing bacteria and increased acetic concentration in cecum contents were found in fucoidan groups, as well as increased renal ATP levels and improved mitochondrial dysfunction. The renal inflammation and fibrosis were ameliorated through inhibiting the MAPKs pathway. In conclusion, fucoidan improved early stage DN targeting the microbiota-mitochondria axis by ameliorating mitochondrial oxidative stress and inhibiting the MAPKs pathway.

Neutrophil to lymphocyte ratio (NLR) as a surrogate marker of diabetic nephropathy

Background and objectives: Diabetic nephropathy and retinopathy are microvascular complications of diabetes. Nephropathy is clinically manifested as an increase in urine albumin excretion. Total white blood cell count is a crude but sensitive indicator of inflammation and studied in many cardiac and non-cardiac diseases as an inflammatory marker such as acute myocardial infarction, stroke, and heart failure. In this study, the association of neutrophil to lymphocyte ratio (NLR) with diabetic nephropathy and retinopathy. Methods: This was a prospective observational study performed on patients with diabetic nephropathy +/- retinopathy. A total of v104 subjects diagnosed with 3type 2 diabetes mellitus registered in this study. NLR was calculated by analyzing differential leukocyte count in complete blood picture. Spot Albuminuria was tested by immune turbidimetry method. Urine creatinine was tested by jaffe’s kinetic method by which spot urine microalbumin to creatinine ratio is calculated. ANOVA, Independent t-test, chi-square test, Karl Pearson correlation were applied to find significance. P<0.05 was considered as statistically significant. Results: Totally 104 diabetic subjects were registered, 52 subjects had DN and 52 had normal urine albumin. Mean±SD NLR for a normal group is 2.5±1.1 and in DN group is 3.4±1.4 which was highly significant (P =0.001). Conclusion: Our study showed that there was a significant relation between NLR and DN; and positive correlation between NLR and urine microalbumin to creatinine ratio. Therefore, NLR may be considered as a novel surrogate marker of DN.

The Relationship Between ABO and Rh Blood Groups and Microvascular Complications of Diabetes in Patients with Type 2 Diabetes Mellitus

Aim: This study aimed to investigate the possible relationships between ABO and Rh blood groups and microvascular complications of diabetes in type 2 diabetes mellitus (DM) patients. Material and Methods: This study included Type 2 DM patients who were hospitalized and followed in our clinic between February 2019 and April 2022. The patients’ data files were retrospectively reviewed in order to record demographic characteristics, antidiabetic medications, comorbid diseases, fasting plasma glucose, HbA1c values, ABO/Rh blood groups, and microvascular complication status (nephropathy, retinopathy, and neuropathy). Results: A total of 348 patients were included in the study. In the sample group, male patients constituted 40.9% (142) and female patients 59.1% (206) of the sample, and the mean age was 59.3±12.8 years. Diabetic nephropathy, retinopathy, and neuropathy rates were 31.3%, 41.0%, and 52.0%, respectively. The blood group was A in 151 (43.4%), B in 51 (14.6%), 0 in 127 (36.5%), and AB in 19 (5.5%) patients. Patients with different blood types did not show any significant differences in the microvascular complications of diabetes. The frequency of nephropathy and retinopathy were lower in Rh-negative patients than in Rh-positive patients (p=0.044 and p=0.041, respectively). Conclusion: ABO blood groups are not correlated with the microvascular complications of diabetes in patients with type 2 DM. However, Rh positivity may pose certain risks for nephropathy and retinopathy.

Neuroprotective Potential of Hygrophila auriculata Targeting Oxidative Stress-Mediated Deficits in Streptozotocin-Induced Sciatic Nerve Injury

Abstract Objective Diabetic neuropathy, a microvascular complication of diabetes, affects 50% of individuals. Addressing this challenge is challenging due to its poorly understood origin and existing therapeutic approaches. This study used a methanolic extract from Hygrophila auriculata (MEHA) to treat oxidative stress-induced sciatic nerve injury in diabetic rats. Materials and Methods A study was conducted to assess the nociceptive reflex after a single streptozotocin (STZ) (45 mg/kg intraperitoneal.) injection. The rats were divided into six groups (n = 6 rats per group). Group I nondiabetic (ND) rats received oral gavage of 1% carboxymethyl cellulose (CMC). The diabetic rats in groups II to VI were given 1% CMC, 100, 200, and 400 mg/kg of MEHA, and 180 mg/kg of metformin (MET). The freshly prepared 1% (w/v) CMC suspension of both MEHA and MET was administered over a 4-week period, commencing from the 28th day through the 56th day post-STZ injection. The impact of STZ-induced sciatic nerve injury was analyzed through the estimation of serum glucose and glycohemoglobin levels, paw withdrawal and tail-flick latencies, oxidative stress markers, and neural histoarchitecture. Results Diabetic (STZ) control group II showed significantly altered serum glucose and glycohemoglobin levels, a reduced paw withdrawal threshold, and reduced paw withdrawal and tail-flick latencies in contrast to ND group I. Furthermore, increased oxidative stress in the sciatic nerve correlates with a reduced nociceptive threshold and disrupted neural histoarchitecture in diabetic rats. These behavioral, biochemical, and molecular changes were markedly and dose-dependently reduced by MEHA and MET treatments. Conclusion The antioxidant efficacy of MEHA modulated oxidative stress in STZ-sensitized diabetic rats and corrected neuropathic pain by attenuating hyperglycemia.

Relationship Between Triglyceride-Glucose Index and Microvascular Complications in Hospitalized Patients with Type 2 Diabetes Mellitus

Aim: The increasing prevalence of diabetes mellitus (DM) brings about a rise in nephropathy, retinopathy, and neuropathy, which are microvascular complications of diabetes. The triglyceride-glucose (TyG) index is a convenient indicator of insulin resistance. It is related to microvascular and macrovascular complications among nonhospitalized patients with diabetes. However, it is unclear if the TyG index poses risks for vascular complications of type 2 DM in hospitalized patients. This study aims to investigate possible relations between this index and the risk of microvascular complications in hospitalized patients with type 2 DM. Material and Methods: The present study included 420 type 2 DM patients who were hospitalized in our clinic between February 2019 and May 2022. The TyG index was measured as fasting triglycerides mg/dL × fasting glucose mg/dL/2. The presence of microalbuminuria (MAU), diabetic neuropathy, chronic kidney disease (CKD), and retinopathy (DR) were evaluated. The data were analzed using IBM SPSS 22.0 statistical software. The level of statistical significance was taken as p

Сytokines as promising diagnostic and prognostic biomarkers of microvascular complications of diabetes

Classical knowledge about the pathogenesis of diabetes and its complications in recent years has been supplemented by ideas about the role of chronic inflammation. It has been established that inflammatory reactions play a role in the beta cell dysfunction, the formation of insulin resistance and remodeling of the vascular wall. Cytokines, soluble low molecular weight proteins and peptides that perform informational and regulatory functions, play central role in the development of inflammation. A wide range of biological activity and involvement in many aspects of pathogenesis make it possible to consider cytokines as promising molecules for diagnosing and predicting the complications. In this review, we summarize data from studies that assessed the role of cytokines as diagnostic and prognostic markers for the development of microvascular diabetic complications. Current data indicate that angiogenic and pro-inflammatory cytokines (VEGF, TNF-α, IL-6, IL-8, IL-15, IL-17, MCP-1, IP-10, INF-γ, PEDF, etc.) are promising biomarkers for proliferative diabetic retinopathy, especially when their local production is assessed (in vitreous, aqueous humor and tears). The role of these molecules as biomarkers of non-proliferative diabetic retinopathy and diabetic macular edema needs further research. Serum proinflammatory and fibrogenic cytokines (primarily MCP-1, IL-6, TNF-α, YKL-40, TGF-β and bFGF) and cytokine receptors (sTNFR1, sTNFR2) are considered as promising diagnostic and prognostic markers of diabetic kidney disease. Urinary excretion of IL-6 and MCP-1 turned out to be a predictor of the progression of diabetic nephropathy. Multi-bead assay and mass spectrometry make it possible to study cytokine panels in small samples of biological material. Combined biomarkers, including several cytokines, may increase the reliability of the prognosis of diabetic complications.

Differences in platelet indices between type-2 diabetes mellitus patients with and without microvascular complications at Teaching Hospital, Karapitiya

Type-2 Diabetes Mellitus (T2DM) is associated with a greater amount of morbidity and mortality due to microvascular and macrovascular complications. Involvement of platelets in vascular complications of diabetes is well known and changes in platelet indices have been identified as predictors of these vascular complications. This study was carried out to determine the changes in platelet indices in patients with T2DM. This was a comparative cross sectional study conducted at Teaching Hospital, Karapitiya. Study subjects included T2DM patients with microvascular complications as study group and T2DM patients without any vascular compli-cations as comparison group. For each group age and sex matched 52 subjects were recruited. Subjects with microvascular complications had mean platelet volume (MPV) of 10.62±0.49fL, platelet distribution width (PDW) of 12.23±1.12fL, plateletcrit (PCT) of 0.28±0.05% and platelet large cell ratio (PLCR) of 29.44±4. Subjects without any vascular complications had MPV of 9.38±0.40fL, PDW of 9.9±1.14fL, PCT of 0.26±0.05% and PLCR of 19.67±3.1. Values of MPV, PDW and PLCR were significantly higher in patients with diabetic microvascular complications (p<.001). There was no significant difference in PCT between the two groups. In comparison of platelet indices according to glycemic control, a significantly higher MPV, PDW and PLCR values were observed in patients with HbA1c of >7% (p<.001). A significant association was present among the MPV, PDW and PLCR values when fasting plasma glucose (FPG) was > 130mg/dL (p<.001). There was a direct relation-ship with abnormal platelet indices and microvas-cular complications of T2DM. Further studies are recommended to ascertain causative relationship of changes in platelet indices and diabetic microvascular complications.

Aquaporins enriched in endothelial vacuole membrane regulate the diameters of microvasculature in hyperglycemia.

In patients with diabetic microvascular complications, decreased perfusion or vascular occlusion, caused by reduced vascular diameter, is a common characteristic that will lead to insufficient blood supply. Yet, the regulatory mechanism and effective treatment approach remain elusive. Our initial findings revealed a notable decrease in the expression of human AQP1 in both diabetic human retina samples (49 healthy vs. 54 diabetic samples) and high-glucose-treated human retinal microvascular endothelial cells. Subsequently, our investigations unveiled a reduction in vascular diameter and compromised perfusion within zebrafish embryos subjected to high glucose treatment. Further analysis indicated a significant downregulation of two aquaporins, aqp1a.1 and aqp8a.1, which are highly enriched in ECs and are notably responsive to hyperglycemic conditions. Intriguingly, the loss of function of aqp1a.1 and/or aqp8a.1 resulted in a reduction of intersegmental vessel diameters, effectively mirroring the phenotype observed in the hyperglycemic zebrafish model.The overexpression of aqp1a.1/aqp8a.1 in zebrafish ECs led to notable enlargement of microvascular diameters. Moreover, the reduced vessel diameters resulting from high-glucose treatment were effectively rescued by the overexpression of these aquaporins. Additionally, both aqp1a.1 and apq8a.1 were localized in the intracellular vacuoles in cultured ECs as well as the ECs of sprouting ISVs, and the loss of Aqps caused the reduction of those vacuoles, which was required for lumenization. Notably, while the loss of AQP1 did not impact EC differentiation from human stem cells, it significantly inhibited vascular formation in differentiated ECs. EC-enriched aquaporins regulate the diameter of blood vessels through an intracellular vacuole-mediated process under hyperglycemic conditions. These findings collectively suggest that aquaporins expressed in ECs hold significant promise as potential targets for gene therapy aimed at addressing vascular perfusion defects associated with diabetes.

Unraveling the interplay of ferroptosis and immune dysregulation in diabetic kidney disease: a comprehensive molecular analysis

BackgroundDiabetic kidney disease (DKD) is a primary microvascular complication of diabetes with limited therapeutic effects. Delving into the pathogenic mechanisms of DKD and identifying new therapeutic targets is crucial. Emerging studies reveal the implication of ferroptosis and immune dysregulation in the pathogenesis of DKD, however, the precise relationship between them remains not fully elucidated. Investigating their interplay is pivotal to unraveling the pathogenesis of diabetic kidney disease, offering insights crucial for targeted interventions and improved patient outcomes.MethodsIntegrated analysis, Consensus clustering, Machine learning including Generalized Linear Models (GLM), RandomForest (RF), Support Vector Machine (SVM) and Extreme Gradient Boosting (xGB), Artificial neural network (ANN) methods of DKD glomerular mRNA sequencing were performed to screen DKD-related ferroptosis genes.CIBERSORT, ESTIMATE and ssGSEA algorithm were used to assess the infiltration of immune cells between DKD and control groups and in two distinct ferroptosis phenotypes. The ferroptosis hub genes were verified in patients with DKD and in the db/db spontaneous type 2 diabetes mouse model via immunohistochemical and Western blotting analyses in mouse podocyte MPC5 and mesangial SV40-MES-13 cells under high-glucose (HG) conditions.ResultsWe obtained 16 differentially expressed ferroptosis related genes and patients with DKD were clustered into two subgroups by consensus clustering. Five ferroptosis genes (DUSP1,ZFP36,PDK4,CD44 and RGS4) were identified to construct a diagnostic model with a good diagnosis performance in external validation. Analysis of immune infiltration revealed immune heterogeneity between DKD patients and controls.Moreover, a notable differentiation in immune landscape, comprised of Immune cells, ESTIMATE Score, Immune Score and Stromal Score was observed between two FRG clusters. GSVA analysis indicated that autophagy, apoptosis and complement activation can participate in the regulation of ferroptosis phenotypes. Experiment results showed that ZFP36 was significantly overexpressed in both tissue and cells while CD44 was on the contrary.Meanwhile,spearman analysis showed both ZFP36 and CD44 has a strong correlation with different immune cells,especially macrophage.ConclusionThe regulation of the immune landscape in DKD is significantly influenced by the focal point on ferroptosis. Newly identified ferroptosis markers, CD44 and ZFP36, are poised to play essential roles through their interactions with macrophages, adding substantial value to this regulatory landscape.

Long-term exposure to ambient air pollution and risk of microvascular complications among patients with type 2 diabetes: a prospective study.

Patients with type 2 diabetes (T2D) may disproportionately suffer the adverse cardiovascular effects of air pollution, but relevant evidence on microvascular outcome is lacking. We aimed to examine the association between air pollution exposure and the risk of microvascular complications among patients with T2D. This prospective study included 17 995 participants with T2D who were free of macro- and micro-vascular complications at baseline from the UK Biobank. Annual average concentrations of particulate matter (PM) with diameters <2.5 μm (PM2.5), <10 μm (PM10), nitrogen dioxide (NO2) and nitrogen oxides (NOx) were assessed using land use regression models. Cox proportional hazards regression was used to estimate the associations of air pollution exposure with incident diabetic microvascular complications. The joint effects of the air pollutant mixture were examined using quantile-based g-computation in a survival setting. In single-pollutant models, the adjusted hazard ratios (95% confidence intervals) for composite diabetic microvascular complications per interquartile range increase in PM2.5, PM10, NO2 and NOx were 1.09 (1.04-1.14), 1.06 (1.01-1.11), 1.07 (1.02-1.12) and 1.04 (1.00-1.08), respectively. Similar significant results were found for diabetic nephropathy and diabetic neuropathy, but not for diabetic retinopathy. The associations of certain air pollutants with composite microvascular complications and diabetic nephropathy were present even at concentrations below the World Health Organization limit values. Multi-pollutant analyses demonstrated that PM2.5 contributed most to the elevated risk associated with the air pollutant mixture. In addition, we found no interactions between air pollution and metabolic risk factor control on the risk of diabetic microvascular complications. Long-term individual and joint exposure to PM2.5, PM10, NO2 and NOx, even at low levels, was associated with an increased risk of diabetic microvascular complications, with PM2.5 potentially being the main contributor.

Association of the systemic immuno-inflammation index, neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio with diabetic microvascular complications.

The systemic immuno-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) are widely used and have been shown to be predictive indicators of various diseases. Diabetic nephropathy (DN), retinopathy (DR), and peripheral neuropathy (DPN) are the most prominent and common microvascular complications, which have seriously negative impacts on patients, families, and society. Exploring the associations with these three indicators and diabetic microvascular complications are the main purpose. There were 1058 individuals with type 2 diabetes mellitus (T2DM) in this retrospective cross-sectional study. SII, NLR, and PLR were calculated. The diseases were diagnosed by endocrinologists. Logistic regression and subgroup analysis were applied to evaluate the association between SII, NLP, and PLR and diabetic microvascular complications. SII, NLR, and PLR were significantly associated with the risk of DN [odds ratios (ORs): 1.52, 1.71, and 1.60, respectively] and DR [ORs: 1.57, 1.79, and 1.55, respectively] by multivariate logistic regression. When NLR ≥2.66, the OR was significantly higher for the risk of DPN (OR: 1.985, 95% confidence interval: 1.29-3.05). Subgroup analysis showed no significant positive associations across different demographics and comorbidities, including sex, age, hypertension, HbA1c (glycated hemoglobin), and dyslipidemia. This study found a positive relationship between NLR and DN, DR, and DPN. In contrast, SII and PLR were found to be only associated with DN and DR. Therefore, for the diagnosis of diabetic microvascular complications, SII, NLR and PLR are highly valuable.

Association between proinflammatory cytokines and arterial stiffness in type 1 diabetic adolescents.

Type 1 diabetes mellitus is considered a state of chronic low-grade inflammation and activation of the innate immune system, which is regulated by several proinflammatory cytokines and other acute-phase reactants. Arterial stiffness, a dynamic property of the vessels evaluated by the determination of pulse wave velocity (PWV), is increased in diabetic patients and is associated with microvascular and macrovascular complications of diabetes and higher cardiovascular risk. In the present study, we aimed to compare the proinflammatory state and arterial stiffness in diabetic and non-diabetic adolescents, and to characterize the association between these two parameters. Twenty-three type 1 diabetic patients, aged 12-16 years, followed at a tertiary center, and 23 adolescents nonoverweighted healthy controls, from a Portuguese birth-cohort, were included in the present analysis. Anthropometry, blood pressure, glycemic control data, and lipid parameters were collected. Arterial stiffness was evaluated by carotid-femoral pulse wave velocity. Proinflammatory cytokines' concentrations (TNF-α, IL-1β, IL-6, IL-10, IFN-γ, and GM-CSF) were quantified by multiplex immunoassays using a Luminex 200 analyzer. There were no statistically significant differences between the proinflammatory cytokines' concentrations in the two groups. PWV [6.63 (6.23-7.07) vs. 6.07 (5.15-6.65) m/s, p=0.015] was significantly higher in the diabetic group. PWV was negatively correlated with GM-CSF (ρ=-0.437, p=0.037) in the diabetic group. A linear association was found between diabetes duration and PWV (with PWV increasing by 0.094 m/s (95 % confidence interval, 0.019 to 0.169) per month of disease duration). In the diabetic group, HbA1c was negatively correlated with IL-10 (ρ=-0.473, p=0.026). Negative correlations were also found between IL-10 and total, HDL, and LDL cholesterol only in the diabetic group. Diabetic adolescent patients present higher PWV, when compared to their healthy counterparts, even though we could not find differences in the levels of several proinflammatory cytokines between the two groups. The negative correlation found between IL-10 and HbA1c might translate a protective counterbalance effect of this anti-inflammatory cytokine, which might also explain the negative correlations found with blood lipids. Further studies are needed to better clarify the association between arterial stiffness and the proinflammatory milieu of diabetes.

Exosome miR-30a-5p Regulates Glomerular Endothelial Cells' EndMT and Angiogenesis by Modulating Notch1/VEGF Signaling Pathway.

Diabetic nephropathy (DN) is one of the microvascular complications of diabetes. Endothelial-mesenchymal transition (EndMT) and endothelial damage lead to abnormal angiogenesis in DN. This study aimed to investigate the role of exosome miR-30a-5p in high glucose (HG)-induced glomerular endothelial cells (GECs) dysfunction and explore the underlying mechanisms. GECs were cultured in normal glucose (5.5 mM) and HG (30 mM) conditions. The recipient GECs were transfected with exosome or miR-30a-5p mimic/inhibitor and then detected by using CCK-8 and flow cytometry assay. Luciferase analysis was used to verify miR-30a-5p acted on notch homolog protein 1 (Notch1). RT-qPCR and Western blot were used to detect the expression of VE-cadherin, α-SMA, vascular endothelial growth factor (VEGF) and Notch1. In vivo, exosome miR-30a-5p was administered to DN mice, and periodic acid-Schiff (PAS) staining, UTP levels, and HbA1c levels were measured. The expression of miR-30a-5p was downregulated in HG-treated GECs. Exosome miR-30a-5p significantly promoted cell proliferation, and migration and reduced apoptosis of GECs under HG conditions. MiR-30a-5p directly targeted the 3-UTR region of Notch1. Exosome miR-30a-5p reduced the expression levels of Notch1 and VEGF, both at mRNA and protein levels. Furthermore, exosome miR-30a-5p inhibited HG-induced EndMT, as evidenced by increased VE-cadherin and reduced α-SMA. In vivo studies demonstrated that exosome miR-30a-5p reduced serum HbA1c levels and 24-hour urine protein quantification. This study provides evidence that exosome miR-30a-5p suppresses EndMT and abnormal angiogenesis of GECs by modulating the Notch1/VEGF signaling pathway. These findings suggest that exosome miR-30a-5p could be a potential therapeutic strategy for the treatment of DN.

Development and External Validation of Machine Learning Models for Diabetic Microvascular Complications: Cross-Sectional Study With Metabolites.

Diabetic kidney disease (DKD) and diabetic retinopathy (DR) are major diabetic microvascular complications, contributing significantly to morbidity, disability, and mortality worldwide. The kidney and the eye, having similar microvascular structures and physiological and pathogenic features, may experience similar metabolic changes in diabetes. This study aimed to use machine learning (ML) methods integrated with metabolic data to identify biomarkers associated with DKD and DR in a multiethnic Asian population with diabetes, as well as to improve the performance of DKD and DR detection models beyond traditional risk factors. We used ML algorithms (logistic regression [LR] with Least Absolute Shrinkage and Selection Operator and gradient-boosting decision tree) to analyze 2772 adults with diabetes from the Singapore Epidemiology of Eye Diseases study, a population-based cross-sectional study conducted in Singapore (2004-2011). From 220 circulating metabolites and 19 risk factors, we selected the most important variables associated with DKD (defined as an estimated glomerular filtration rate <60 mL/min/1.73 m2) and DR (defined as an Early Treatment Diabetic Retinopathy Study severity level ≥20). DKD and DR detection models were developed based on the variable selection results and externally validated on a sample of 5843 participants with diabetes from the UK biobank (2007-2010). Machine-learned model performance (area under the receiver operating characteristic curve [AUC] with 95% CI, sensitivity, and specificity) was compared to that of traditional LR adjusted for age, sex, diabetes duration, hemoglobin A1c, systolic blood pressure, and BMI. Singapore Epidemiology of Eye Diseases participants had a median age of 61.7 (IQR 53.5-69.4) years, with 49.1% (1361/2772) being women, 20.2% (555/2753) having DKD, and 25.4% (685/2693) having DR. UK biobank participants had a median age of 61.0 (IQR 55.0-65.0) years, with 35.8% (2090/5843) being women, 6.7% (374/5570) having DKD, and 6.1% (355/5843) having DR. The ML algorithms identified diabetes duration, insulin usage, age, and tyrosine as the most important factors of both DKD and DR. DKD was additionally associated with cardiovascular disease history, antihypertensive medication use, and 3 metabolites (lactate, citrate, and cholesterol esters to total lipids ratio in intermediate-density lipoprotein), while DR was additionally associated with hemoglobin A1c, blood glucose, pulse pressure, and alanine. Machine-learned models for DKD and DR detection outperformed traditional LR models in both internal (AUC 0.838 vs 0.743 for DKD and 0.790 vs 0.764 for DR) and external validation (AUC 0.791 vs 0.691 for DKD and 0.778 vs 0.760 for DR). This study highlighted diabetes duration, insulin usage, age, and circulating tyrosine as important factors in detecting DKD and DR. The integration of ML with biomedical big data enables biomarker discovery and improves disease detection beyond traditional risk factors.

Gene Expression Analysis in T2DM and Its Associated Microvascular Diabetic Complications: Focus on Risk Factor and RAAS Pathway.

Prolonged hyperglycemic conditions in type 2 diabetes mellitus (T2DM) cause pathological and functional damage to many organs and tissues, including the kidneys, retina, skin, and neuronal tissues, resulting in the development of microvascular diabetic complications. The altered renin angiotensin aldosterone system (RAAS) pathway has been reported to play an important role in the development of insulin resistance in T2DM and associated complications. The current study was carried out to evaluate the association of risk factors and altered expression of RAAS genes in T2DM patients without complications and T2DM patients with complications (retinopathy, nephropathy, and neuropathy). Four hundred and twenty subjects including 140 healthy controls, 140 T2DM patients with diabetic complications, and 140 T2DM patients without diabetic complications were included in the study. Risk factors associated with the development of T2DM and diabetic complications were evaluated. Further, expression analysis of RAAS genes (AGT, ACE, ACE2, and AGT1R) was carried out using qRTPCR in healthy controls, T2DM patients with complications, and T2DM patients without complications. Various risk factors like urban background, higher BMI, alcoholism, smoking, and family history of diabetes among others were found to be associated with the development of T2DM as well as diabetic complications. The expression level of AGT, ACE, and AGT1R was found to be upregulated whereas ACE2 was found to be downregulated in T2DM patients with complications and T2DM patients without complications as compared to controls. Altered expression of the studied genes of RAAS pathway is associated with the development of microvascular diabetic complications.