How inflammation dictates diabetic peripheral neuropathy: An enlightening review

Ameliorating Effect of Red Fruit (Pandanus conoides Lamk) Oil in Streptozotosin-Induced Diabetic Peripheral Neuropathy Rat Model: role of oxidative and neuroinflammatory pathways

Objectives

Diabetic peripheral neuropathy (DPN) is the most common cause of neuropathy worldwide, with oxidative and inflammatory being the pathways involved in the disease pathology. Red fruit (Pandanus conoides Lamk) oil (RFO) is known to have potent antioxidants and anti-inflammatory activities. To investigate the effects of RFO in a rat model of streptozotocin-induced DPN.

Methods

Male Wistar rats were induced with 55 mg/kg streptozotocin (STZ) intraperitoneally. Rats with fasting blood glucose ≥ 200 mg/dL were assigned into groups treated with vehicle, pregabalin 30 mg/kg, and 0.3, 0.6, or 1.2 mL/kg RFO, respectively. The treatments were given for 3 weeks, six weeks after STZ induction. Neuropathic pain was evaluated by cold allodynia and thermal hyperalgesia tests. Histopathological changes of the pancreas and sciatic nerve were evaluated by the Gaussian adaptive threshold method. Feed and drinking intake, blood glucose levels, body weight, and sciatic nerve proinflammatory cytokines were also measured.

Results

There were increases in blood glucose levels, feed and drink intake, levels of MDA, TNF-α, IL-6, NFκB, and iNOS; decrease in catalase level; and damage to the sciatic nerve in the vehicle-treated DPN rat model compared with normal rats (p < 0.05). Meanwhile, significant decrease in weight, number of pancreatic β cells, latency times for thermal hyperalgesia as well as cold allodynia were observed in this group of rats. RFO administration at 0.6 and 1.2 mL/kg significantly improved all of the measured indices, except for iNOS, where only decreasing trend was observed. Pregabalin did not affect blood glucose levels, body weight or pancreatic β cells but improved thermal hyperalgesia as well as cold allodynia, the sciatic nerve cell counts, TNF-α IL-6, NFκB, and iNOS levels.

Conclusion

RFO improves DPN by neuroprotective effect through the involvement of the oxidative and neuroinflammatory pathways.

Cytokine Signaling in Diabetic Neuropathy: A Key Player in Peripheral Nerve Damage

Diabetic peripheral neuropathy (DPN) is a debilitating complication of diabetes mellitus, characterized by progressive nerve damage driven by chronic hyperglycemia and systemic inflammation. The pathophysiology of DPN is significantly influenced by pro-inflammatory cytokines, such as IL-1β, IL-6, and TNF-α. These cytokines promote oxidative stress, vascular dysfunction, and neuronal degeneration by activating important signaling pathways including NF-κB and MAPK. While IL-6 promotes a pro-inflammatory microenvironment, increasing neuronal damage and neuropathic pain, TNF-α and IL-1β worsen Schwann cell failure by compromising axonal support and causing demyelination. Immune cell infiltration and TLR activation increase the inflammatory cascade in DPN, resulting in a persistent neuroinflammatory state that sustains peripheral nerve injury. The main characteristics of DPN are axonal degeneration, decreased neurotrophic support, and Schwann cell dysfunction, which weaken nerve transmission and increase susceptibility to damage. Advanced glycation end-products, TNF-α, and CXCL10 are examples of biomarkers that may be used for early diagnosis and disease progression monitoring. Additionally, crucial molecular targets have been found using proteomic and transcriptome techniques, enabling precision medicine for the treatment of DPN. This review emphasizes the importance of cytokine signaling in the pathogenesis of DPN and how cytokine-targeted treatments might reduce inflammation, restore nerve function, and improve clinical outcomes for diabetic patients.

PEX11B palmitoylation couples peroxisomal dysfunction with Schwann cells fail in diabetic neuropathy

BACKGROUND

Diabetic neuropathy (DN) is a prevalent and painful complication of diabetes; however, the mechanisms underlying its pathogenesis remain unclear, and effective clinical treatments are lacking. This study aims to explore the role of peroxisomes in Schwann cells in DN.

METHODS

The abundance of peroxisomes in the sciatic nerves of mice or Schwann cells was analyzed using laser confocal super-resolution imaging and western blotting. The RFP-GFP-SKL (Ser-Lys-Leu) probe was utilized to assess pexophagy (peroxisomes autophagy) levels. To evaluate the palmitoylation of PEX11B, the acyl-resin assisted capture (acyl-RAC) assay and the Acyl-Biotin Exchange (ABE) assay were employed. Additionally, MR (Mendelian randomization) analysis was conducted to investigate the potential causal relationship between DN and MS (Multiple sclerosis).

RESULTS

There was a decrease in peroxisomal abundance in the sciatic nerves of diabetic mice, and palmitic acid (PA) induced a reduction in peroxisomal abundance by inhibiting peroxisomal biogenesis in Schwann cells. Mechanistically, PA induced the palmitoylation of PEX11B at C25 site, disrupting its self-interaction and impeding peroxisome elongation. Fenofibrate, a PPARα agonist, effectively rescued peroxisomal dysfunction caused by PA and restored the peroxisomal abundance in diabetic mice. Lastly, MR analysis indicates a notable causal influence of DN on MS, with its onset and progression intricately linked to peroxisomal dysfunction.

CONCLUSIONS

Targeting the peroxisomal biogenesis pathway may be an effective strategy for preventing and treating DN, underscoring the importance of addressing MS risk at the onset of DN.

Type 2 Diabetes Mellitus: A Comprehensive Review of Pathophysiology, Comorbidities, and Emerging Therapies

Humans are perhaps evolutionarily engineered to get deeply addicted to sugar, as it not only provides energy but also helps in storing fats, which helps in survival during starvation. Additionally, sugars (glucose and fructose) stimulate the feel-good factor, as they trigger the secretion of serotonin and dopamine in the brain, associated with the reward sensation, uplifting the mood in general. However, when consumed in excess, it contributes to energy imbalance, weight gain, and obesity, leading to the onset of a complex metabolic disorder, generally referred to as diabetes. Type 2 diabetes mellitus (T2DM) is one of the most prevalent forms of diabetes, nearly affecting all age groups. T2DM is clinically diagnosed with a cardinal sign of chronic hyperglycemia (excessive sugar in the blood). Chronic hyperglycemia, coupled with dysfunctions of pancreatic β-cells, insulin resistance, and immune inflammation, further exacerbate the pathology of T2DM. Uncontrolled T2DM, a major public health concern, also contributes significantly toward the onset and progression of several micro- and macrovascular diseases, such as diabetic retinopathy, nephropathy, neuropathy, atherosclerosis, and cardiovascular diseases, including cancer. The current review discusses the epidemiology, causative factors, pathophysiology, and associated comorbidities, including the existing and emerging therapies related to T2DM. It also provides a future roadmap for alternative drug discovery for the management of T2DM.

Correlation between lipoprotein-associated phospholipase A2 and diabetic peripheral neuropathy in patients with type 2 diabetes mellitus: A cross-sectional study

BACKGROUND

Lipoprotein-associated phospholipase A2 (Lp-PLA2) is an enzyme implicated in inflammation and oxidative stress, and has been associated with cardiovascular conditions and adverse outcomes, particularly in diabetes and its complications. However, no prior studies have examined the relationship between Lp-PLA2 and diabetic peripheral neuropathy (DPN) in patients with type 2 diabetes mellitus (T2DM). This research aims to explore the potential association between Lp-PLA2 and DPN.

METHODS

This retrospective study included 880 hospitalized patients with T2DM treated between March 2024 and August 2024 at Nanjing First Hospital. To assess the relationship between Lp-PLA2 and DPN, multiple logistic regression models were applied. The study also utilized restricted cubic spline (RCS) modeling, segmented regression, stratified analysis, and receiver operating characteristic (ROC) curve assessments.

RESULTS

Patients diagnosed with DPN exhibited elevated Lp-PLA2 levels compared to those without DPN. Even after adjusting for multiple variables, Lp-PLA2 was independently associated with a higher likelihood of DPN (odds ratio [OR] 1.011, 95 % confidence interval [CI] 1.008-1.014, P < 0.001). The RCS analysis revealed a nonlinear association, with an inflection point at 215.8 ng/mL. In ROC curve analysis, the area under the curve (AUC) for Lp-PLA2 was 0.664, while the combined indicator AUC was 0.739.

CONCLUSIONS

Serum Lp-PLA2 levels show a significant correlation with the presence of DPN in patients with T2DM. These findings suggest that Lp-PLA2 could serve as a valuable biomarker for identifying patients at risk for DPN, emphasizing the need for close monitoring of T2DM individuals with elevated Lp-PLA2 to mitigate the risk of developing DPN and associated adverse health outcomes.

The overlap of diabetic and inflammatory neuropathies: Epidemiology, possible mechanisms, and treatment implications

Diabetic polyneuropathy is the common neuropathy of diabetes. However, several inflammatory neuropathies may occur during diabetes. Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) represents the most treatable example. There has been uncertainty about a higher risk of CIDP in subjects with diabetes. Contradicting earlier reports, subsequent epidemiological studies failed to confirm an association. However, more recent studies from different populations have shown a two-fold relative risk of concurrent diabetes with CIDP. Recognition of CIDP is important in diabetes as treatment response rates have been reported as comparable with or without diabetes. However, with diabetes, the clinical presentation of CIDP and the resulting disability may be more severe due to additional axonal loss from pre-existing diabetic polyneuropathy and delayed diagnosis. An association of nodo-paranodopathy has similarly been described with a three-fold relative risk of concurrent diabetes in seropositive subjects, particularly those harbouring anti-contactin 1 antibodies. Although rare, recognition of nodo-paranodopathy, with characteristic clinical features, in the context of diabetes is likewise important in view of treatment implications. Other inflammatory neuropathies in diabetes are the painful or painless, cervical, or lumbar, radiculoplexus neuropathies. These need distinguishing from variant, multifocal forms of CIDP, as are not treatable, although remit spontaneously over months or years. There are reports of possible association of Guillain-Barré syndrome (GBS), and particularly of greater GBS severity, with diabetes. Finally, vasculitic neuropathy may also occur in diabetes and requires early suspicion, urgent investigations and immunosuppressant treatment. As the worldwide prevalence of diabetes rises, prompt recognition of its concurrent inflammatory neuropathies, is essential.

The role of GRB2 in diabetes, diabetes complications and related disorders

Growth factor receptor-bound protein 2 (GRB2) is a key adaptor protein involved in multiple signalling pathways, and its dysregulation is associated with various diseases. Type 2 diabetes is a systemic condition characterized by insulin resistance and impaired β-cell function. The complications of diabetes significantly reduce life expectancy and quality of life, imposing a substantial burden on society. However, the role of GRB2 in diabetes and associated complications is largely unknown. Emerging evidence suggests that GRB2 plays a crucial role in insulin resistance, inflammation, immune activation and the regulation of cellular processes such as cell proliferation, growth, metabolism, angiogenesis, apoptosis and differentiation. Dysregulation of GRB2-mediated pathways contributes to the progression of diabetic neuropathy, cognitive dysfunction, nephropathy, retinopathy and related disorders. This review provides a comprehensive overview of the current understanding of the role of GRB2 in diabetes, diabetes complications and related disorders, alongside recent advances in the development of GRB2-targeted therapies. Elucidating the complex role of GRB2 in these disorders provides valuable insights into potential therapeutic strategies targeting GRB2-mediated pathways.

Insights into the Allosteric Regulation of Human Hsp90 Revealed by NMR Spectroscopy

Human heat shock protein 90 (Hsp90) is one of the most important chaperones that play a role in the late stages of protein folding. Errors in the process of the chaperone cycle can lead to diseases such as cancer and neurodegenerative diseases. Therefore, the activity of Hsp90 must be carefully regulated. One of the possibilities is allosteric regulation by its natural allosteric modulators-nucleotides, co-chaperones and client proteins-and synthetic small-molecule allosteric modulators, such as those targeting the middle domain or the C-terminal domain (CTD) of Hsp90. Since no experimentally determined structure of a small-molecule allosteric modulator bound to the CTD of human Hsp90 has yet been obtained, the challenge for a structure-based design of allosteric modulators remains. Solution nuclear magnetic resonance (NMR) spectroscopy could be utilized to overcome these problems. The main aim of this review article is to discuss how solution NMR techniques, especially protein-based, and the advanced isotope labeling of proteins have been used to investigate the allosteric regulation of the cytosolic isoforms of human Hsp90 with allosteric modulators. This article provides the basis for planning future NMR experiments, with the aim of gaining insights into allosteric sites and the mechanisms of allosteric regulation.

IL-20RA is Associated with the Risk of Diabetic Microangiopathy: A Bidirectional Mendelian Randomization Analysis and Clinical Validation

Objective

Studies have demonstrated a link between chronic inflammatory responses and diabetic microangiopathy, which include diabetic nephropathy, diabetic retinopathy, and diabetic neuropathy. However, it remains unclear whether there is a causal association between circulating inflammatory cytokines and the development of diabetic microvascular complications. This study aimed to investigate whether altered genetically predicted concentrations of circulating inflammatory cytokines were associated with the development of diabetic microvascular complications using two-sample Mendelian randomization (MR) analysis and clinical validation.

Methods

Pooled data on diabetic nephropathy, diabetic retinopathy, diabetic neuropathy, and 91 circulating inflammatory cytokines were obtained from publicly available databases. The analysis was conducted mainly using the inverse variance weighting (IVW) method and the results were assessed based on the odds ratio (OR) and 95% confidence interval (CI). In addition, the stability and reliability of the results were verified using the leave-one-out method, heterogeneity tests, and horizontal pleiotropy. Finally, ELISA and RT-qPCR were utilized to assess the expression of relevant inflammatory cytokines associated with diabetic microvascular complications.

Results

Mendelian randomization analysis identified a total of 9 circulating inflammatory cytokines that exhibit causal associations with the diabetic microangiopathy, with IL-20RA being a common risk factor for all three conditions. Clinical studies have found elevated plasma IL-20RA concentrations in patients with diabetic peripheral neuropathy, and RT-qPCR testing of peripheral blood mononuclear cells revealed significantly higher IL-20RA mRNA expression in patients with diabetic peripheral neuropathy as compared to normal individuals.

Conclusion

This study highlights the potential role of specific inflammatory cytokines in the development of diabetic microangiopathy (diabetic nephropathy, diabetic retinopathy and diabetic neuropathy). Additionally, IL-20RA emerges as a potential common risk factor for three diabetic microvascular complications. These findings may provide novel insights into early prevention and new therapeutic strategies for diabetic microvascular complications.

Targeting inflammation and gut microbiota with antibacterial therapy: Implications for central nervous system health

The complex symbiotic relationship between inflammation, the gut microbiota, and the central nervous system (CNS) has become a pivotal focus of contemporary biomedical research. Inflammation, as a physiological defense mechanism, plays a dual role as both a protective and pathological factor, and is intricately associated with gut microbiota homeostasis, often termed the "second brain." The gutbrain axis (GBA) exemplifies this multifaceted interaction, where gut health exerts significantly regulatory effects on CNS functions. Antibacterial therapies represent both promising and challenging strategies for modulating inflammation and gut microbiota composition to confer CNS benefits. However, while such therapies may exert positive modulatory effects on the gut microbiota, they also carry the potential to disrupt microbial equilibrium, potentially exacerbating neurological dysfunction. Recent advances have provided critical insights into the therapeutic implications of antibacterial interventions; nevertheless, the application of these therapies in the context of CNS health warrants a judicious and evidence-based approach. As research progresses, deeper investigation into the microbial-neural interface is essential to fully realize the potential of therapies targeting inflammation and the gut microbiota for CNS health. Future efforts should focus on refining antibacterial interventions to modulate the gut microbiota while minimizing disruption to microbial balance, thereby reducing risks and enhancing efficacy in CNS-related conditions. In conclusion, despite challenges, a more comprehensive understanding of the GBA, along with precise modulation through targeted antibacterial therapies, offers significant promise for advancing CNS disorder treatment. Continued research in this area will lead to innovative interventions and improved patient outcomes.

Impaired exploration induced by type 1 diabetes is related to locomotor activity rather than a reduction in motivation

Type 1 diabetes mellitus (T1D) is associated with cognitive impairments in humans. A well-established animal model of T1D is induced through the administration of streptozotocin (STZ), a glucose analog that induces pancreatic β-cell death, resulting in hyperglycemia and cognitive impairment linked to neuroinflammation and oxidative stress. Tumor necrosis factor (TNF)-α, a key inflammatory mediator, is elevated in the central nervous system (CNS) of diabetic animals. In this study, we utilized TNFR1 knockout mice to investigate the role of TNFR1 signaling in short-term T1D-related cognitive impairment. Our findings showed that diabetic animals did not develop cognitive damage within the first 2 weeks of T1D but exhibited reduced exploration in all behavioral tests. Our findings suggest that this reduction in exploration was attributable to motor impairment, as there was no reduction in motivated novelty-seeking behavior. Additionally, deletion of TNFR1 signaling attenuated gait speed impairment in diabetic mice, but did not affect other motor-related or exploratory behaviors.

Molecular mechanisms of enteric neuropathies in high-fat diet feeding and diabetes

BACKGROUND

Obesity and diabetes are associated with altered gastrointestinal function and with the development of abdominal pain, nausea, diarrhea, and constipation among other symptoms. The enteric nervous system (ENS) regulates gastrointestinal motility. Enteric neuropathies defined as damage or loss of enteric neurons can lead to motility disorders.

PURPOSE

Here, we review the molecular mechanisms that drive enteric neurodegeneration in diabetes and obesity, including signaling pathways leading to neuronal cell death, oxidative stress, and microbiota alteration. We also highlight potential approaches to treat enteric neuropathies including antioxidant therapy to prevent oxidative stress-induced damage and the use of stem cells.

Association of white blood cell count to mean platelet volume ratio with type 2 diabetic peripheral neuropathy in a Chinese population: a cross-sectional study

BACKGROUND

The white blood cell count to mean platelet volume ratio (WMR) is considered a promising inflammatory marker, and its recognition is increasing. Inflammation is closely related to metabolic diseases such as diabetes and its complications. However, there are currently no reports on the correlation between WMR and type 2 diabetic peripheral neuropathy (DPN). This study aims to explore the correlation between WMR and DPN in type 2 diabetes patients. By understanding this association, we hope to provide a theoretical basis for preventing DPN through the improvement of inflammatory responses.

METHODS

This was a cross-sectional study involving 2515 patients with T2DM. Logistic regression analysis was conducted to assess the associations between WMR and DPN. Finally, the receiver operating characteristic curve (ROC curve) was employed to evaluate the predictive efficacy of WMR for DPN.

RESULTS

Patients in higher WMR quartiles exhibited increased presence of DPN. Additionally, WMR remained significantly associated with a higher odds ratio (OR) of DPN (OR 4.777, 95% confidence interval [CI] 1.296-17.610, P < 0.05) after multivariate adjustment. Moreover, receiver operating characteristic curve analysis indicated that the optimal cutoff value for WMR in predicting DPN presence was 0.5395 (sensitivity: 65.40%; specificity: 41.80%; and area under the curve [AUC]: 0.540).

CONCLUSIONS

In patients with T2DM, WMR was significantly increased in DPN and independently associated with an increased risk of DPN presence in Chinese patients. This suggests that WMR may serve as a useful and reliable biomarker of DPN, highlighting the importance of paying more attention to T2DM patients with high WMR to further prevent and reduce the development of DPN and related unfavorable health outcomes.

Recent Advances in Biomolecular Patho-Mechanistic Pathways behind the Development and Progression of Diabetic Neuropathy

Diabetic neuropathy (DN) is a neurodegenerative disorder that is primarily characterized by distal sensory loss, reduced mobility, and foot ulcers that may potentially lead to amputation. The multifaceted etiology of DN is linked to a range of inflammatory, vascular, metabolic, and other neurodegenerative factors. Chronic inflammation, endothelial dysfunction, and oxidative stress are the three basic biological changes that contribute to the development of DN. Although our understanding of the intricacies of DN has advanced significantly over the past decade, the distinctive mechanisms underlying the condition are still poorly understood, which may be the reason behind the lack of an effective treatment and cure for DN. The present study delivers a comprehensive understanding and highlights the potential role of the several pathways and molecular mechanisms underlying the etiopathogenesis of DN. Moreover, Schwann cells and satellite glial cells, as integral factors in the pathogenesis of DN, have been enlightened. This work will motivate allied research disciplines to gain a better understanding and analysis of the current state of the biomolecular mechanisms behind the pathogenesis of DN, which will be essential to effectively address every facet of DN, from prevention to treatment.

Evaluating the efficacy of mesenchymal stem cells for diabetic neuropathy: A systematic review and meta-analysis of preclinical studies

Diabetic neuropathy affects nearly half of all diabetics and poses a significant threat to public health. Recent preclinical studies suggest that mesenchymal stem cells (MSCs) may represent a promising solution for the treatment of diabetic neuropathy. However, an objective assessment of the preclinical effectiveness of MSCs is still pending. We conducted a comprehensive search of PubMed, Web of Science, Embase, and Cochrane library to identify preclinical studies that investigate the effects of MSCs on diabetic neuropathy up until 15 September 2023. Outcome indicators consisted of motor and sensory nerve conduction velocities, intra-epidermal nerve fiber density, sciatic nerve blood flow, capillary-to-muscle fiber ratio, neurotrophic factors, angiogenic factors and inflammatory cytokines. The literature review and meta-analysis were conducted independently by two researchers. 23 studies that met the inclusion criteria were included in this system review for qualitative and quantitative analysis. Pooled analyses indicated that MSCs exhibited an evident benefit in diabetic neuropathy in terms of motor (SMD = 2.16, 95% CI: 1.71-2.61) and sensory nerve conduction velocities (SMD = 2.93, 95% CI: 1.78-4.07), intra-epidermal nerve fiber density (SMD = 3.17, 95% CI: 2.28-4.07), sciatic nerve blood flow (SMD = 2.02, 95% CI: 1.37-2.66), and capillary-to-muscle fiber ratio (SMD = 2.28, 95% CI: 1.55 to 3.01, p < 0.00001). Furthermore, after MSC therapy, the expressions of neurotrophic and angiogenic factors increased significantly in most studies, while the levels of inflammatory cytokines were significantly reduced. The relevance of this review relies on the fact that summarizes an extensive body of work entailing substantial preclinical evidence that supports the efficacy of MSCs in mitigating diabetic neuropathy. While MSCs emerge as a promising potential treatment for diabetic neuropathy, further research is essential to elucidate the underlying mechanisms and the best administration strategy for MSCs.

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

Background

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.

Methods

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.

Results

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.

Conclusion

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.

Exploring the role of mitochondrial-associated and peripheral neuropathy genes in the pathogenesis of diabetic peripheral neuropathy

BACKGROUND

Diabetic peripheral neuropathy (DPN) is a prevalent and serious complication of diabetes mellitus, impacting the nerves in the limbs and leading to symptoms like pain, numbness, and diminished function. While the exact molecular and immune mechanisms underlying DPN remain incompletely understood, recent findings indicate that mitochondrial dysfunction may play a role in the advancement of this diabetic condition.

METHODS

Two RNA transcriptome datasets (codes: GSE185011 and GSE95849), comprising samples from diabetic peripheral neuropathy (DPN) patients and healthy controls (HC), were retrieved from the Gene Expression Omnibus (GEO) database hosted by the National Center for Biotechnology Information (NCBI). Subsequently, differential expression analysis and gene set enrichment analysis were performed. Protein-protein interaction (PPI) networks were constructed to pinpoint key hub genes associated with DPN, with a specific emphasis on genes related to mitochondria and peripheral neuropathy disease (PND) that displayed differential expression. Additionally, the study estimated the levels of immune cell infiltration in both the HC and DPN samples. To validate the findings, quantitative polymerase chain reaction (qPCR) was employed to confirm the differential expression of selected genes in the DPN samples.

RESULTS

This research identifies four hub genes associated mitochondria or PN. Furthermore, the analysis revealed increased immune cell infiltration in DPN tissues, particularly notable for macrophages and T cells. Additionally, our investigation identified potential drug candidates capable of regulating the expression of the four hub genes. These findings were corroborated by qPCR results, reinforcing the credibility of our bioinformatics analysis.

CONCLUSIONS

This study provides a comprehensive overview of the molecular and immunological characteristics of DPN, based on both bioinformatics and experimental methods.

Exploring the molecular mechanism of Xuebifang in the treatment of diabetic peripheral neuropathy based on bioinformatics and network pharmacology

Background

Xuebifang (XBF), a potent Chinese herbal formula, has been employed in managing diabetic peripheral neuropathy (DPN). Nevertheless, the precise mechanism of its action remains enigmatic.

Purpose

The primary objective of this investigation is to employ a bioinformatics-driven approach combined with network pharmacology to comprehensively explore the therapeutic mechanism of XBF in the context of DPN.

Study design and Methods

The active chemicals and their respective targets of XBF were sourced from the TCMSP and BATMAN databases. Differentially expressed genes (DEGs) related to DPN were obtained from the GEO database. The targets associated with DPN were compiled from the OMIM, GeneCards, and DrugBank databases. The analysis of GO, KEGG pathway enrichment, as well as immuno-infiltration analysis, was conducted using the R language. The investigation focused on the distribution of therapeutic targets of XBF within human organs or cells. Subsequently, molecular docking was employed to evaluate the interactions between potential targets and active compounds of XBF concerning the treatment of DPN.

Results

The study successfully identified a total of 122 active compounds and 272 targets associated with XBF. 5 core targets of XBF for DPN were discovered by building PPI network. According to GO and KEGG pathway enrichment analysis, the mechanisms of XBF for DPN could be related to inflammation, immune regulation, and pivotal signalling pathways such as the TNF, TLR, CLR, and NOD-like receptor signalling pathways. These findings were further supported by immune infiltration analysis and localization of immune organs and cells. Moreover, the molecular docking simulations demonstrated a strong binding affinity between the active chemicals and the carefully selected targets.

Conclusion

In summary, this study proposes a novel treatment model for XBF in DPN, and it also offers a new perspective for exploring the principles of traditional Chinese medicine (TCM) in the clinical management of DPN.