Clinical Profile, Risk Factors, and Complications in Young-Onset Type 2 Diabetes Mellitus.

Background Young-onset type 2 diabetes mellitus (T2DM), defined as a diagnosis before the age of 45, is an increasingly common and aggressive form of diabetes. This population is at a heightened risk of developing complications earlier in life due to longer disease duration and often suboptimal glycemic control. Complications such as diabetic neuropathy, retinopathy, and nephropathy are significant concerns, leading to reduced quality of life and increased morbidity. Objective To investigate the clinical profile and risk factors associated with complications of young-onset T2DM and to analyze the correlation between the age of onset and other parameters and the development of these complications. Methods We conducted a cross-sectional study on young-onset T2DM patients (<45 years) to investigate the prevalence and associated factors of diabetic complications. Variables analyzed included age, gender, BMI, waist-hip ratio, duration of diabetes, age at diagnosis, proteinuria, and glycosuria, along with biochemical markers such as HbA1C (glycated hemoglobin), serum cholesterol, triglycerides, and C-peptide levels. Results The average age of participants in our study was 34.76 ± 6.91 years. The mean BMI was 26.68 ± 3.35, with a mean cholesterol level of 169.84 ± 55.64 and a mean triglyceride level of 205.79 ± 67.49. The average HbA1c level was 9.82 ± 2.44. Diabetic neuropathy was found to increase significantly with advancing age (p < 0.001), longer duration of diabetes (p < 0.001), higher mean levels of HbA1C (p < 0.001), serum cholesterol (p = 0.006), and serum triglycerides (p = 0.010), as well as with lower levels of serum C-peptide (p = 0.025). The severity of kidney damage showed a significant association with older age (p = 0.049), longer diabetes duration (p < 0.01), elevated mean levels of HbA1C (p = 0.0002), and serum cholesterol (p = 0.0310). Diabetic retinopathy increased significantly with advancing age (p < 0.001), longer diabetes duration (p < 0.001), higher mean levels of HbA1C (p < 0.001), and serum triglycerides (p = 0.013). Conclusion Young-onset T2DM is associated with significant risks for neuropathy, retinopathy, and nephropathy, particularly with increasing age and longer disease duration. Higher HbA1C, serum cholesterol, and triglyceride levels are prevalent among those with complications. These findings underscore the need for early intervention and targeted management strategies to mitigate complications in this high-risk population.

Downregulation of Iron-Sulfur Cluster Biogenesis May Contribute to Hyperglycemia-Mediated Diabetic Peripheral Neuropathy in Murine Models.

BACKGROUND: Diabetic peripheral neuropathy (DPN) is considered one of the most common chronic complications of diabetes. Impairment of mitochondrial function is regarded as one of the causes. Iron-sulfur clusters are essential cofactors for numerous iron-sulfur (Fe-S)-containing proteins/enzymes, including mitochondrial electron transport chain complex I, II, and III and aconitase. METHODS: To determine the impact of hyperglycemia on peripheral nerves, we used Schwann-like RSC96 cells and classical db/db mice to detect the expression of Fe-S-related proteins, mitochondrially enzymatic activities, and iron metabolism. Subsequently, we treated high-glucose-induced RSC96 cells and db/db mice with pioglitazone (PGZ), respectively, to evaluate the effects on Fe-S cluster biogenesis, mitochondrial function, and animal behavior. RESULTS: We found that the core components of Fe-S biogenesis machinery, such as frataxin (Fxn) and scaffold protein IscU, significantly decreased in high-glucose-induced RSC96 cells and db/db mice, accompanied by compromised mitochondrial Fe-S-containing enzymatic activities, such as complex I and II and aconitase. Consequently, oxidative stress and inflammation increased. PGZ not only has antidiabetic effects but also increases the expression of Fxn and IscU to enhance mitochondrial function in RSC96 cells and db/db mice. Meanwhile, PGZ significantly alleviated sciatic nerve injury and improved peripheral neuronal behavior, accompanied by suppressed oxidative stress and inflammation in the sciatic nerve of the db/db mice. CONCLUSIONS: Iron-sulfur cluster deficiency may contribute to hyperglycemia-mediated DPN.

Injectable, reversibly thermoresponsive captopril-laden hydrogel for the local treatment of sensory loss in diabetic neuropathy.

A major and irreversible complication of diabetes is diabetic peripheral neuropathy (DPN), which can lead to significant disability and decreased quality of life. Prior work demonstrates the peptide hormone Angiotensin II (Ang II) is released locally in neuropathy and drives inflammation and impaired endoneurial blood flow. Therefore, we proposed that by utilizing a local thermoresponsive hydrogel injection, we could deliver inhibitors of angiotensin-converting enzyme (ACE) to suppress Ang II production and reduce nerve dysfunction in DPN through local drug release. The ACE inhibitor captopril was encapsulated into a micelle, which was then embedded into a reversibly thermoresponsive pluronics-based hydrogel matrix. Drug-free and captopril-loaded hydrogels demonstrated excellent product stability and sterility. Rheology testing confirmed sol properties with low viscosity at ambient temperature and increased viscosity and gelation at 37 °C. Captopril-loaded hydrogels significantly inhibited Ang II production in comparison to drug-free hydrogels. DPN mice treated with captopril-loaded hydrogels displayed normalized mechanical sensitivity and reduced inflammation, without side-effects associated with systemic exposure. Our data demonstrate the feasibility of repurposing ACE inhibitors as locally delivered anti-inflammatories for the treatment of sensory deficits in DPN. To the best of our knowledge, this is the first example of a locally delivered ACE inhibitor for the treatment of DPN.

Interpretable machine learning models for detecting peripheral neuropathy and lower extremity arterial disease in diabetics: an analysis of critical shared and unique risk factors.

BACKGROUND: Diabetic peripheral neuropathy (DPN) and lower extremity arterial disease (LEAD) are significant contributors to diabetic foot ulcers (DFUs), which severely affect patients' quality of life. This study aimed to develop machine learning (ML) predictive models for DPN and LEAD and to identify both shared and distinct risk factors. METHODS: This retrospective study included 479 diabetic inpatients, of whom 215 were diagnosed with DPN and 69 with LEAD. Clinical data and laboratory results were collected for each patient. Feature selection was performed using three methods: mutual information (MI), random forest recursive feature elimination (RF-RFE), and the Boruta algorithm to identify the most important features. Predictive models were developed using logistic regression (LR), random forest (RF), and eXtreme Gradient Boosting (XGBoost), with particle swarm optimization (PSO) used to optimize their hyperparameters. The SHapley Additive exPlanation (SHAP) method was applied to determine the importance of risk factors in the top-performing models. RESULTS: For diagnosing DPN, the XGBoost model was most effective, achieving a recall of 83.7%, specificity of 86.8%, accuracy of 85.4%, and an F1 score of 83.7%. On the other hand, the RF model excelled in diagnosing LEAD, with a recall of 85.7%, specificity of 92.9%, accuracy of 91.9%, and an F1 score of 82.8%. SHAP analysis revealed top five critical risk factors shared by DPN and LEAD, including increased urinary albumin-to-creatinine ratio (UACR), glycosylated hemoglobin (HbA1c), serum creatinine (Scr), older age, and carotid stenosis. Additionally, distinct risk factors were pinpointed: decreased serum albumin and lower lymphocyte count were linked to DPN, while elevated neutrophil-to-lymphocyte ratio (NLR) and higher D-dimer levels were associated with LEAD. CONCLUSIONS: This study demonstrated the effectiveness of ML models in predicting DPN and LEAD in diabetic patients and identified significant risk factors. Focusing on shared risk factors may greatly reduce the prevalence of both conditions, thereby mitigating the risk of developing DFUs.

Frequency of Restless Legs Syndrome in Pakistani Patients With Type 2 Diabetes Mellitus.

Objective To determine the frequency of restless legs syndrome (RLS) among Pakistani patients with type 2 diabetes mellitus. Methods This observational cross-sectional study was carried out in the Department of Medicine at Bahawal Victoria Hospital, Quaid-e-Azam Medical College, Bahawalpur, Pakistan, from January 2024 to May 2024. The National Institute of Health (NIH) diagnostic criteria were used to diagnose RLS. Type 2 diabetes mellitus was defined as patients with an HbA1c greater than 7.0%, two random blood glucose readings of ≥200 mg/dL, a previous history of diabetes diagnosis, or those taking anti-hyperglycemic medicines. Patients with a history of leg surgery or amputation, iron deficiency anemia, alcoholism, end-stage kidney disease, chronic liver disease, those on hemodialysis, and pregnant women were excluded from the study. After ethical approval and informed consent were obtained, 255 patients with type 2 diabetes mellitus were included in the study using a non-probability consecutive sampling technique. Demographic information including age, gender, and duration of diabetes was noted, and patients were assessed for diabetes control, peripheral neuropathy, retinopathy, and RLS Patient records were assessed for HbA1c levels and urine examination to diagnose nephropathy. All data were entered into SPSS version 23. A Chi-Square test was applied post-stratification using a p-value of less than 0.05 as significant. Results The mean age was 53.5 ± 12.8 years with 140 (54.9%) females. The mean duration of the disease and mean HbA1c were 6.8 ± 5.4 years and 9.8 ± 2.5%, respectively, with 191 (74.9%) patients having poor control of diabetes. Peripheral neuropathy was seen in 131 (51.4%) patients, retinopathy in 58 (22.7%), and nephropathy in 23 (9.0%). RLS was present in 34 (13.3%) patients with type 2 diabetes mellitus, showing a significant association with diabetes control (p-value = 0.001), peripheral neuropathy (p-value = 0.016), retinopathy (p-value = 0.006), and nephropathy (p-value = 0.011), but not with age (p-value = 0.122), gender (p-value = 0.217), or duration of diabetes (p-value = 0.922). Conclusion RLS was not an uncommon finding in patients with type 2 diabetes mellitus, being more common among those with poor diabetes control and the presence of other complications such as neuropathy, nephropathy, and retinopathy.

PPARγ and AKt gene modulation following pregabalin and duloxetine combination for painful diabetic polyneuropathy.

Aim: Diabetic peripheral neuropathy (DPN) induces chronic neuropathic pain in diabetic patients. Current treatments like pregabalin and duloxetine offer limited efficacy. This study evaluates combining pregabalin and duloxetine versus pregabalin alone for DPN pain relief, and explores gene modulation (PPARγ and Akt) to understand neuropathic pain's molecular basis.Materials & methods: Diabetic patients with DPN were randomized into groups receiving combination therapy or pregabalin alone for 4 weeks. Pain intensity, gene expression and quality of life were assessed.Results: Combination therapy significantly reduced pain, improved quality of life and upregulated PPARγ and Akt genes compared with monotherapy.Conclusion: Pregabalin and duloxetine combination therapy in DPN led to PPARγ mRNA upregulation and negative correlation of Akt gene expression with pain scores. This combination therapy effectively reduced pain and improved quality of life.Clinical Trial Registration: CTRI/2021/02/031068.

Combining medicines to reduce nerve pain in diabetic patientsWhat is this article about? People with diabetes often have nerve pain called diabetic peripheral neuropathy (DPN). Some medicines like pregabalin and duloxetine help, but are not enough. This study tested if using both medicines together works better than using just pregabalin. The study also looked at how these medicines affect certain genes.What were the results? Patients with DPN took either both medicines or just pregabalin for 4 weeks. The combined treatment reduced pain, improved life quality and affected certain genes.What do the results of the study mean? Using pregabalin and duloxetine together can reduce DPN pain more effectively. This offers hope for better treatment options.

Combined effects of strength and balance training versus aerobic training on balance, neuropathy symptoms and quality of life in patients with diabetic peripheral neuropathy.

BACKGROUND: Diabetic peripheral neuropathy (DPN) occurs in >50% of diabetic patients and is a high risk-factor of balance problems and risk of falls. Impaired balance can lead to reduced function, which has a detrimental effect on patients' quality of life. Structured strength and balance training can result in sustained improvements in muscle strength, coordination, balance, functional status and quality of life. OBJECTIVE: To determine the combined effects of strength and balance training versus aerobic training on balance, severity of symptoms of DPN, and quality of life in patients with DPN. METHODS: This double blinded, two arm parallel design Randomized Clinical Trial. The study was conducted from March to December 2020 in the AIMS diabetic center Peshawar, Pakistan. Participants were selected through convenience sampling technique and randomly allocated into strength plus balance and aerobic training groups. Type 2 diabetic patients of both sexes, aged 40 to 80 years, with a Toronto neuropathy score ≥6 recruited, while patients with ulceration/infection of feet, medical/Surgical conditions, and non-ambulatory patients were excluded from this study. Intervention was applied 3 days a week for 8 weeks. The Toronto clinical neuropathy system was used to assess neuropathy severity, SF-36 to assess quality of life and the Berg balance scale was used for assessment of balance. Assessment was done at the baseline and after 8 weeks of intervention using SPSS. Version 22 was used for analysis. RESULTS: The mean age of the participants was 60.80 ± 9.73. Between group analysis, which showed were statistically insignificant for neuropathy severity, balance and all domains of quality of life (p-value >0.05) except SF-36 General Health Perception Score, with Mean ± SD of 62.50 ± 7.54 in group A versus Mean ± SD of in group B 60.00 ± 15.98 (p-value = 0.05). Within group analysis showed statistically significant results for neuropathy severity, balance and all domains of quality of life (p-value<0.05). CONCLUSION: This study concluded that there is a statistically significant effect of structured balance and strength training and aerobic training on severity of DPN, balance and quality of life. But there was no statistically significant difference in improvement between the two intervention groups.

Decreased glucagon in diabetic peripheral neuropathy patients with long duration type 2 diabetes.

OBJECTIVE: The aim of this study was to investigate the association of fasting C-peptide and glucagon with diabetic peripheral neuropathy (DPN) in patients with type 2 diabetes (T2DM). METHODS: A comprehensive evaluation was conducted on 797 patients with T2DM to assess the various risk factors affecting DPN. The subjects were categorized into short duration and long duration group according to the duration of diabetes with a threshold of 10 years. Logistic regression analysis was employed to examine the association between DPN and islet function, as well as other parameters. Receiver operating characteristic curve analysis was performed to evaluate the predictive capability of glucagon. RESULTS: The fasting C-peptide levels were significantly lower in the DPN patients with short duration of diabetes, but lost significance in the long duration group. Conversely, a decreased level of glucagon was only observed in DPN patients with long duration of diabetes. For the group with long duration of diabetes, glucagon was the sole risk factor associated with DPN. The receiver operating characteristic curve analysis revealed that glucagon in the long duration group exhibited a moderate area under the curve of 0.706. CONCLUSIONS: The serum glucagon levels in T2DM patients with DPN exhibited bidirectional changes based on the duration of diabetes. Decreased glucagon was associated with DPN in T2DM patients with long duration of diabetes.

Multi-feature, Chinese-Western medicine-integrated prediction model for diabetic peripheral neuropathy based on machine learning and SHAP.

BACKGROUND: Clinical studies have shown that diabetic peripheral neuropathy (DPN) has been on the rise, with most patients presenting with severe and progressive symptoms. Currently, most of the available prediction models for DPN are derived from general clinical information and laboratory indicators. Several Traditional Chinese medicine (TCM) indicators have been utilised to construct prediction models. In this study, we established a novel machine learning-based multi-featured Chinese-Western medicine-integrated prediction model for DPN using clinical features of TCM. MATERIALS AND METHODS: The clinical data of 1581 patients with Type 2 diabetes mellitus (T2DM) treated at the Department of Endocrinology of the First Affiliated Hospital of Anhui University of Chinese Medicine were collected. The data (including general information, laboratory parameters and TCM features) of 1142 patients with T2DM were selected after data cleaning. After baseline description analysis of the variables, the data were divided into training and validation sets. Four prediction models were established and their performance was evaluated using validation sets. Meanwhile, the accuracy, precision, recall, F1 score and area under the curve (AUC) of ROC were calculated using ten-fold cross-validation to further assess the performance of the models. An explanatory analysis of the results of the DPN prediction model was carried out using the SHAP framework based on machine learning-based prediction models. RESULTS: Of the 1142 patients with T2DM, 681 had a comorbidity of DPN, while 461 did not. There was a significant difference between the two groups in terms of age, cause of disease, systolic pressure, HbA1c, ALT, RBC, Cr, BUN, red blood cells in the urine, glucose in the urine, and protein in the urine (p < 0.05). T2DM patients with a comorbidity of DPN exhibited diverse TCM symptoms, including limb numbness, limb pain, hypodynamia, thirst with desire for drinks, dry mouth and throat, blurred vision, gloomy complexion, and unsmooth pulse, with statistically significant differences (p < 0.05). Our results showed that the proposed multi-featured Chinese-Western medicine-integrated prediction model was superior to conventional models without characteristic TCM indicators. The model showed the best performance (accuracy = 0.8109, precision = 0.8029, recall = 0.9060, F1 score = 0.8511, and AUC = 0.9002). SHAP analysis revealed that the dominant risk factors that caused DPN were TCM symptoms (limb numbness, thirst with desire for drinks, blurred vision), age, cause of disease, and glycosylated haemoglobin. These risk factors were exerted positive effects on the DPN prediction models. CONCLUSIONS: A multi-feature, Chinese-Western medicine-integrated prediction model for DPN was established and validated. The model improves early-stage identification of high-risk groups for DPN in the diagnosis and treatment of T2DM, while also providing informative support for the intelligent management of chronic conditions such as diabetes.

Expert consensus guidelines for community pharmacists in the management of diabetic peripheral neuropathy with a combination of neurotropic B vitamins.

This consensus guidance is for community pharmacists in diabetic peripheral neuropathy (DPN) management with a combination of neurotropic B vitamins. A multidisciplinary team including endocrinology, neurology, and pharmacy from Thailand discussed and aligned the practical scheme of DPN management in the community pharmacy setting, using the literature review and having face-to-face meeting. Five major statements have been endorsed as consensus recommendations for DPN care with strong acknowledgment. The aims of DPN management included reducing symptoms and the risk of complications, minimising adverse reactions from treatment regimens, and improving patients' knowledge and adherence to the treatment strategies. An initial screening process using a 7 items interview of Douleur Neuropathique 4 (DN4) questionnaire should be implemented to identify patients at risk of developing DPN. Subsequently, pharmacologic, and non-pharmacologic treatment should be employed based on patient-centered care. An interesting approach is combination of neurotropic B vitamins, which may be used as monotherapy or combination therapy to control DPN symptoms. The combined therapy potentially exhibits a synergistic effect and improves patient adherence. The consensus would be further considered in context of harmonisation of routine practice and country requirements.

VGLUT2 and APP family: unraveling the neurobiochemical mechanisms of neurostimulation therapy to STZ-induced diabetes and neuropathy.

Diabetic Peripheral Neuropathy (DPN) poses an escalating threat to public health, profoundly impacting well-being and quality of life. Despite its rising prevalence, the pathogenesis of DPN remains enigmatic, and existing clinical interventions fall short of achieving meaningful reversals of the condition. Notably, neurostimulation techniques have shown promising efficacy in alleviating DPN symptoms, underscoring the imperative to elucidate the neurobiochemical mechanisms underlying DPN. This study employs an integrated multi-omics approach to explore DPN and its response to neurostimulation therapy. Our investigation unveiled a distinctive pattern of vesicular glutamate transporter 2 (VGLUT2) expression in DPN, rigorously confirmed through qPCR and Western blot analyses in DPN C57 mouse model induced by intraperitoneal Streptozotocin (STZ) injection. Additionally, combining microarray and qPCR methodologies, we revealed and substantiated variations in the expression of the Amyloid Precursor Protein (APP) family in STZ-induced DPN mice. Analyzing the transcriptomic dataset generated from neurostimulation therapy for DPN, we intricately explored the differential expression patterns of VGLUT2 and APPs. Through correlation analysis, protein-protein interaction predictions, and functional enrichment analyses, we predicted the key biological processes involving VGLUT2 and the APP family in the pathogenesis of DPN and during neurostimulation therapy. This comprehensive study not only advances our understanding of the pathogenesis of DPN but also provides a theoretical foundation for innovative strategies in neurostimulation therapy for DPN. The integration of multi-omics data facilitates a holistic view of the molecular intricacies of DPN, paving the way for more targeted and effective therapeutic interventions.

Development of Meta-Chemical Surface by Dip-Pen Nanolithography for Precise Electrochemical Lead Sensing.

Dip-pen nanolithography (DPN) is a powerful and unique technique for precisely depositing tiny nano-spherical cap shapes (nanoclusters) onto a desired surface. In this study, a meta-chemical surface (MCS; a pattern with advanced features) is developed by DPN and applied to electrochemical lead sensing, yielding a calibration curve in the ppb range. An ink mixture of PMMA and NTPH (which binds to Pb (II), as supported by DFT calculations) is patterned over a Pt surface. The average height of the nanoclusters is ≈13 nm with a high surface area-to-volume ratio, which depends on the ink composition and the MCS surface. This ratio affected the sensitivity of the MCS as a detecting tool. The results indicate that the sensor's features can be controlled by the ability to control the size of the nanoclusters, attributed to the unique properties of the DPN production method. These results are significant for the water-source purification industry.

Evaluation of structural and thermodynamic insight of ERß with DPN and derivatives through MMGBSA/MMPBSA methods.

Estrogen receptors (ERs) are nuclear factors that exist as two subtypes: ERα and ERß. Among the different selective ERß agonist ligands, the widely used ERß-selective agonist DPN (diarylpropionitrile) is highlighted. Recent experimental and thermodynamic information between R-DPN and S-DPN enantiomers with ERß is important for evaluating further the ability of MD simulations combined with end-point methods to reproduce experimental binding affinity and generate structural insight not provided through crystallographic data. In this research, starting from crystallographic data and experimental binding affinities, we explored the structural and thermodynamic basis of the molecular recognition of ERß with DPN and derivatives through triplicate MD simulations combined with end-point methods. Conformational analysis showed some regions with the highest mobility linked to ligand association that, at the time, impacted the total protein fluctuation. Binding free energy (ΔG) analysis revealed that the Molecular Mechanics Generalized-Born Surface Area (MMGBSA) approach was able to reproduce the experimental tendency with a strong correlation (R = 0.778), whereas per-residue decomposition analysis revealed that all the systems interacted strongly with eight residues (L298, E305, L339, M340, L343, F356, H475, and L476). The comparison between theoretical studies using the MMGBSA approach with experimental results provides new insights for drug designing of new DPN derivatives.

Construction of Knowledge Graph Based on Literature Data by Taking Treatment of Diabetic Peripheral Neuropathy with Traditional Chinese Medicine as An Example / 中国实验方剂学杂志

ObjectiveTo systematically sort out the knowledge framework and conceptual logic relationship of "disease-syndrome-treatment-prescription-medicine" in the existing literature on traditional Chinese medicine（TCM） treatment of diabetic peripheral neuropathy（DPN）， to construct of the knowledge map of TCM treatment of DPN， and to promote the explicitation of the implicit knowledge in the literature on the treatment of DPN with TCM. MethodTaking the literature of China National Knowledge Infrastructure about TCM treatment of DPN as the main data source， TCM-related concepts and entities were constructed by manual citation， and the corresponding relationships between the entities were established. Structured data were formed by processing with Python 3.7， and the knowledge graph was constructed based on Neo4j 3.5.34 graph database. ResultThe resulting knowledge graph with TCM diagnosis and treatment logic， defined 12 node labels such as prescriptions， Chinese medicines and syndrome types at the schema layer， as well as 4 types of relationships， such as inclusion， correspondence， selection and composition. It could support the query and discovery of nodes（syndrome elements， syndrome types and treatment methods）， as well as the relationship between each node. ConclusionBased on the literature data， this study constructed a knowledge map for TCM treatment of DPN， which brought together various methods of TCM treatment of DPN， including internal and external treatment. The whole chain knowledge structure of syndrome differentiation and classification for DPN treatment is formed from syndrome element analysis， syndrome type composition to treatment method selection， which can provide new ideas and methods for literature data to serve clinical and scientific research work， as well as reference for visualization of TCM literature knowledge， intellectualization of TCM knowledge services and the standardization of TCM diagnosis and treatment.

Study on the Analgesic Effect and Mechanism of Buyang Huanwu Decoction on Diabetic Peripheral Neuropathy Rats / 广州中医药大学学报

Objective To investigate the analgesic effect and mechanism of Buyang Huanwu Decoction on diabetic peripheral neuropathy(DPN)rats.Methods Sixty rats were divided into normal group,model group,low-,medium-and high-dose groups of Chinese medicine,and high-dose + H-89[protein kinase A(PKA)inhibitor]group,with 10 rats in each group.Except for the normal group,rats in all other groups were fed with high-fat and high-sugar chow combined with intraperitoneal injection of streptozotocin(STZ)method to construct DPN model.At the end of drug administration,the foot thermal pain threshold of rats was detected,the motor nerve conduction velocity(MNCV)and sensory nerve conduction velocity(SNCV)of rats was measured,the intraepidermal nerve fiber(IENF)in the epidermis was observed by immunohistochemistry,and serum fasting insulin(FINS),total cholesterol(TC),triglyceride(TG),low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C),insulin resistance index(HOMA-IR),and the interleukin(IL)-1β,IL-6,tumor necrosis factor α(TNF-α),vascular endothelial growth factor(VEGF),angiopoietin 1(Ang-1),CD34 levels,cyclic adenosine monophosphate(cAMP)concentration in the sciatic nerve tissues were detected by enzyme-linked immunosorbent assay(ELISA),and Western Blot assay to detect the PKA and the carbohydrate responsive element binding(CREB)in the sciatic nerve tissues.Results Compared with the normal group,foot thermal pain threshold,TC,TG,LDL-C,HOMA-IR,IL-1β,IL-6 and TNF-α levels were significantly increased in the model group(P＜0.05),HDL-C,FINS,VEGF,Ang-1,CD34,IENF,MNCV and SNCV values,cAMP concentration levels,PKA and CREB phosphorylation levels were significantly reduced(P＜0.05).Compared with the model group,the above indexes were significantly improved in the low-,medium-and high-dose groups of Chinese medicine(P＜0.05)in a dose-dependent manner.Compared with the Chinese medicine high-dose + H-89 group,all the indexes were reversed in the Chinese medicine high-dose group.Conclusion Buyang Huanwu Decoction can improve insulin resistance and lipid metabolism,reduce limb pain,improve local microcirculation disorder,and protect nerve function in DPN rats,which reflects the therapeutic characteristics of"activating blood circulation and relieving pain".The pain-relieving effect of Buyang Huanwu Decoction may be related to the improvement of local microcirculation,inhibition of inflammatory factor release and regulation of cAMP/PKA/CREB signaling pathway protein expression.

Treatment of Traditional Chinese Medicine for Diabetic Peripheral Neuropathy Based on Mitochondrial Quality Control： A Review / 中国实验方剂学杂志

Diabetic peripheral neuropathy（DPN） is a neurodegenerative disease of diabetes mellitus involving peripheral nervous system damage， which is characterized by axonal degenerative necrosis， Schwann cell apoptosis and demyelination of nerve myelin sheath as the main pathological features， this disease is highly prevalent and is a major cause of disability in diabetic patients. Currently， the pathogenesis of DPN may be related to oxidative stress， inflammatory response， metabolic abnormality， and microcirculation disorder. The treatment of DPN in modern medicine mainly starts from controlling blood glucose， nourishing nerves and improving microcirculation， which can only alleviate the clinical symptoms of patients， and it is difficult to fundamentally improve the pathological damage of peripheral nerves. Mitochondrial quality control refers to the physiological mechanisms that can maintain the morphology and functional homeostasis of mitochondria， including mitochondrial biogenesis， mitochondrial dynamics， mitochondrial oxidative stress and mitochondrial autophagy， and abnormal changes of which may cause damage to peripheral nerves. After reviewing the literature， it was found that traditional Chinese medicine（TCM） can improve the low level of mitochondrial biogenesis in DPN， maintain the balance of mitochondrial dynamics， inhibit mitochondrial oxidative stress and mitochondrial autophagy， and delay apoptosis of Schwann cells and neural axon damage， which has obvious effects on the treatment of DPN. With the deepening of research， mitochondrial quality control may become one of the potential targets for the research of new anti-DPN drugs， therefore， this paper summarized the research progress of TCM in treating DPN based on four aspects of mitochondrial quality control， with the aim of providing a theoretical research basis for the discovery of new drugs.

Relationship of PIEZO1 and PIEZO2 vascular expression with diabetic neuropathy.

Introduction: Diabetic distal symmetric polyneuropathy (DDSP) is the most prevalent form of diabetic peripheral neuropathy, and 25% of patients develop pain in their toes. DDSP is associated with increased cutaneous microvessel density (MVD), reduced skin blood flow, endothelial dysfunction, and impaired fluid filtration with vasodilation. The Piezo family of mechanosensitive channels is known to be involved in the control of vascular caliber by converting mechanical force into intracellular signals. Furthermore, Piezo2 is particularly involved in peripheral pain mechanisms of DDSP patients. To date, very little is known about the number, structure, and PIEZO expression in cutaneous blood vessels (BVs) of individuals with DDSP and their relation with pain and time span of diabetes. Methods and results: We studied microvessels using endothelial markers (CD34 and CD31) and smooth cell marker (α-SMA) by indirect immunohistochemical assay in sections of the glabrous skin of the toes from patients and controls. MVD was assessed through CD34 and CD31 immunoreaction. MVD determined by CD34 is higher in short-term DDSP patients (less than 15 years of evolution), regardless of pain. However, long-term DDSP patients only had increased BV density in the painful group for CD31. BVs of patients with DDSP showed structural disorganization and loss of shape. The BVs affected by painful DDSP underwent the most dramatic structural changes, showing rupture, leakage, and abundance of material that occluded the BV lumen. Moreover, BVs of DDSP patients displayed a Piezo1 slight immunoreaction, whereas painful DDSP patients showed an increase in Piezo2 immunoreaction. Discussion: These results suggest that alterations in the number, structure, and immunohistochemical profile of specific BVs can explain the vascular impairment associated with painful DDSP, as well as the temporal span of diabetes. Finally, this study points out a possible correlation between increased vascular Piezo2 immunostaining and pain and decreased vascular Piezo1 immunostaining and the development of vasodilation deficiency.

Development and Validation of a Cyber-Physical System Leveraging EFDPN for Enhanced WSN-IoT Network Security.

In the current digital era, Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) are evolving, transforming human experiences by creating an interconnected environment. However, ensuring the security of WSN-IoT networks remains a significant hurdle, as existing security models are plagued with issues like prolonged training durations and complex classification processes. In this study, a robust cyber-physical system based on the Emphatic Farmland Fertility Integrated Deep Perceptron Network (EFDPN) is proposed to enhance the security of WSN-IoT. This initiative introduces the Farmland Fertility Feature Selection (F3S) technique to alleviate the computational complexity of identifying and classifying attacks. Additionally, this research leverages the Deep Perceptron Network (DPN) classification algorithm for accurate intrusion classification, achieving impressive performance metrics. In the classification phase, the Tunicate Swarm Optimization (TSO) model is employed to improve the sigmoid transformation function, thereby enhancing prediction accuracy. This study demonstrates the development of an EFDPN-based system designed to safeguard WSN-IoT networks. It showcases how the DPN classification technique, in conjunction with the TSO model, significantly improves classification performance. In this research, we employed well-known cyber-attack datasets to validate its effectiveness, revealing its superiority over traditional intrusion detection methods, particularly in achieving higher F1-score values. The incorporation of the F3S algorithm plays a pivotal role in this framework by eliminating irrelevant features, leading to enhanced prediction accuracy for the classifier, marking a substantial stride in fortifying WSN-IoT network security. This research presents a promising approach to enhancing the security and resilience of interconnected cyber-physical systems in the evolving landscape of WSN-IoT networks.

Microalbuminuria as the Tip of Iceberg in Type 2 Diabetes Mellitus: Prevalence, Risk Factors, and Associated Diabetic Complications.

Background Microalbuminuria (MA) is an important clinical marker for the early detection of kidney damage in patients with type 2 diabetes (T2DM). Urine albumin-to-creatinine ratio (ACR), also known as urine microalbumin, is a sign of diabetic nephropathy (DN), which is a prevalent complication of diabetes and can result in end-stage renal disease (ESRD) if not managed. The prevalence of MA in T2DM has been steadily increasing worldwide, making it a significant public health concern. The goal of this study was to estimate the prevalence of MA and its relationship to hypertension and other diabetic complications among people with T2DM. Methodology This descriptive cross-sectional study was conducted from February 5, 2022, to February 10, 2023, to analyse data from T2DM patients who visited the outpatient diabetic clinic of Sheikh Zayed Medical College and Hospital, Rahim Yar Khan, Pakistan. This study included a total of 640 patients, aged 35-60 years, who had been diagnosed with T2DM for at least five years and fulfilled the inclusion criteria. Data on demographic and clinical characteristics, blood pressure (BP) measurements, and laboratory investigations were collected. MA was assessed based on the ACR in a spot urine sample of more than 30 mg/l. Blood pressure greater than 140/90 or already taking anti-hypertensives was taken to constitute hypertension. Factors associated with MA like hypertension, gender, mode of diabetes treatment, duration of diabetes, glycosylated haemoglobin (HbA1c), dyslipidemia, and other diabetic complications such as retinopathy and neuropathy were also recorded. Results The prevalence of MA in this study of T2DM patients study was 39.1%. The mean age of the participants with MA was 53.9 with a standard deviation (SD) of 6.1 years, and the mean duration of diabetes was 10.1 years (SD 6.2 years); 101 (33.4%) males (n=302) and 103 (30.5%) females (n=338) had MA.  There was a statistically significant correlation between MA > 30mg/d and hypertension (p = <0.001), diabetes duration since diagnosis (p=0.04), HbA1C level (p = <0.001), dyslipidemia (p=0.001), therapy type (p = <0.001), triglyceridemia (p = 0.03), history of diabetes retinopathy (p= <0.002), and peripheral neuropathy (p= <0.001). However, there was no statistically significant correlation between MA and age (p = 0.56), female gender (p = 0.08), low- and high-density lipids, or statin use (p = 0.06). Conclusion The prevalence of microalbuminuria among T2DM patients is significantly high (39.1%) and is positively correlated with various factors such as male gender, hypertension, suboptimal control of diabetes mellitus, high HbA1c levels, longer disease duration, dyslipidemia with high triglycerides, treatment modalities of T2DM, and other diabetic complications like neuropathy and retinopathy. As diabetes is very prevalent in our country, the number of patients with diabetic kidney disease will rise significantly in the near future, leading to ESRD and other diabetic complications, and immediate intervention is needed to prevent this. Further research is warranted to explore potential interventions and evaluate their impact on patient outcomes.

Interferon-gamma treatment of human umbilical cord mesenchymal stem cells can significantly reduce damage associated with diabetic peripheral neuropathy in mice.

BACKGROUND: Diabetic peripheral neuropathy causes significant pain to patients. Umbilical cord mesenchymal stem cells have been shown to be useful in the treatment of diabetes and its complications. The aim of this study was to investigate whether human umbilical cord mesenchymal stem cells treated with interferon-gamma can ameliorate nerve injury associated with diabetes better than human umbilical cord mesenchymal stem cells without interferon-gamma treatment. METHODS: Human umbilical cord mesenchymal stem cells were assessed for adipogenic differentiation, osteogenic differentiation, and proliferation ability. Vonfry and a hot disc pain tester were used to evaluate tactile sensation and thermal pain sensation in mice. Hematoxylin-eosin and TUNEL staining were performed to visualize sciatic nerve fiber lesions and Schwann cell apoptosis in diabetic mice. Western blotting was used to detect expression of the apoptosis-related proteins Bax, B-cell lymphoma-2, and caspase-3 in mouse sciatic nerve fibers and Schwann cells. Real-Time Quantitative PCR was used to detect mRNA levels of the C-X-C motif chemokine ligand 1, C-X-C motif chemokine ligand 2, C-X-C motif chemokine ligand 9, and C-X-C motif chemokine ligand 10 in mouse sciatic nerve fibers and Schwann cells. Enzyme-linked immunosorbent assay was used to detect levels of the inflammatory cytokines, interleukin-1ß, interleukin-6, and tumor necrosis factor-α in serum and Schwann cells. RESULTS: The adipogenic differentiation capacity, osteogenic differentiation capacity, and proliferation ability of human umbilical cord mesenchymal stem cells were enhanced after interferon-gamma treatment. Real-Time Quantitative PCR revealed that interferon-gamma promoted expression of the adipogenic markers, PPAR-γ and CEBP-α, as well as of the osteogenic markers secreted phosphoprotein 1, bone gamma-carboxyglutamate protein, collagen type I alpha1 chain, and Runt-related transcription factor 2. The results of hematoxylin-eosin and TUNEL staining showed that pathological nerve fiber damage and Schwann cell apoptosis were reduced after the injection of interferon-gamma-treated human umbilical cord mesenchymal stem cells. Expression of the apoptosis-related proteins, caspase-3 and Bax, was significantly reduced, while expression of the anti-apoptotic protein B-cell lymphoma-2 was significantly increased. mRNA levels of the cell chemokines, C-X-C motif chemokine ligand 1, C-X-C motif chemokine ligand 2, C-X-C motif chemokine ligand 9, and C-X-C motif chemokine ligand 10, were significantly reduced, and levels of the inflammatory cytokines, interleukin-1ß, interleukin-6, and tumor necrosis factor-α, were decreased. Tactile and thermal pain sensations were improved in diabetic mice. CONCLUSION: Interferon-gamma treatment of umbilical cord mesenchymal stem cells enhanced osteogenic differentiation, adipogenic differentiation, and proliferative potential. It can enhance the ability of human umbilical cord mesenchymal stem cells to alleviate damage to diabetic nerve fibers and Schwann cells, in addition to improving the neurological function of diabetic mice.