Diabetic peripheral neuropathy: advances in diagnosis and strategies for screening and early intervention

Diabetic peripheral neuropathy and neuromodulation techniques: a systematic review of progress and prospects

Neuromodulation for diabetic peripheral neuropathy represents a significant area of interest in the management of chronic pain associated with this condition. Diabetic peripheral neuropathy, a common complication of diabetes, is characterized by nerve damage due to high blood sugar levels that lead to symptoms, such as pain, tingling, and numbness, primarily in the hands and feet. The aim of this systematic review was to evaluate the efficacy of neuromodulatory techniques as potential therapeutic interventions for patients with diabetic peripheral neuropathy, while also examining recent developments in this domain. The investigation encompassed an array of neuromodulation methods, including frequency rhythmic electrical modulated systems, dorsal root ganglion stimulation, and spinal cord stimulation. This systematic review suggests that neuromodulatory techniques may be useful in the treatment of diabetic peripheral neuropathy. Understanding the advantages of these treatments will enable physicians and other healthcare providers to offer additional options for patients with symptoms refractory to standard pharmacologic treatments. Through these efforts, we may improve quality of life and increase functional capacity in patients suffering from complications related to diabetic neuropathy.

Melittin promotes the proliferation of Schwann cells in hyperglycemic environment by up‑regulating the Crabp2/Wnt/β‑catenin signaling pathway

The present study aimed to explore the effect of melittin (MLT) on the growth of Schwann cells (SCs) in high glucose conditions and to understand the mechanisms involved. The goal was to provide a theoretical basis for using MLT in the treatment of diabetic peripheral neuropathy (DPN). The CCK‑8 assay was used to measure cell activity at different concentrations of glucose and MLT. Flow cytometry was employed to analyze the effect of MLT on cell cycle phases and apoptosis in SCs under high glucose conditions. To identify differentially expressed proteins, 4D label‑free quantitative proteomics with liquid chromatography‑mass spectrometry was used, followed by biological analysis to explore potential mechanisms. PCR, western blotting and immunofluorescence were conducted to confirm these mechanisms. Melittin (0.2 µg/ml) increased the proliferation of SCs in a high glucose environment. Flow cytometry showed that after MLT treatment, the proportion of cells in the G2/M+S phase increased and the combined ratio of early and late apoptosis decreased under high glucose conditions. Proteomics identified 1,784 proteins with significant changes in expression; 725 were upregulated, and 1,059 were downregulated. Kyoto Encyclopedia of Genes and Genomes analysis indicated that the differentially expressed proteins were mainly involved in metabolic pathways and neurodegenerative disease pathways. PCR, western blotting and immunofluorescence confirmed the increase in Crabp2, Wnt3a, C‑Jun, CDK4, CyclinD1 and proliferating cell nuclear antigen. In high glucose conditions, MLT protects SCs from glucose toxicity by upregulating the Crabp2/Wnt/β‑catenin signaling pathway, potentially providing a new treatment for DPN.

Comparative efficacy and safety of Chinese patent medicines as an adjunctive therapy for diabetic peripheral neuropathy: systematic review and network meta-analysis of randomized controlled trials

CONTEXT

Diabetic peripheral neuropathy (DPN) is the most common complication of diabetes mellitus. Chinese patent medicines (CPMs) are widely used in clinical practice to treat DPN.

OBJECTIVE

This study aims to summarize the latest evidence on the harms and benefits of CPMs as adjunctive therapy for DPN.

MATERIALS AND METHODS

We conducted searches for randomized controlled trials (RCTs) evaluating CPMs in conjunction with mecobalamin (Mec) or alpha-lipoic acid (αLA) across eight databases up to July 2024. The surface under the cumulative ranking area (SUCRA) was utilized to assess the clinical efficacy rate (CER), the peroneal motor nerve conduction velocity (pMNCV), the peroneal sensory nerve conduction velocity (pSNCV), the median motor nerve conduction velocity (mMNCV), and the median sensory nerve conduction velocity (mSNCV).

RESULTS

The search yielded 128 eligible studies with 31 CPMs with Mec and 39 eligible studies with 17 CPMs with αLA. SUCRA rankings indicated that, when combined with Mec, Mailuoning liquid (lMLN) was the most effective regimen for CER, Honghua injection (iHH) for pMNCV, Maixuekang capsule (cMXK) for pSNCV, Dengzhanxixin injection (iDZXX) for mMNCV, and Tongxinluo capsule (cTXL) for mSNCV. Combined with αLA, Danhong injection (iDH) showed the highest efficacy for CER, pSNCV, and mSNCV, while Xueshuantong injection (iXShT) was the most effective for pMNCV and mMNCV.

CONCLUSION

This network meta-analysis confirms the efficacy and safety of 37 CPMs combined with Mec or αLA for treating DPN. However, given the potential risk of bias and the very low certainty of the evidence, these recommendations should be adopted with caution.

Exploring the potential anti-diabetic peripheral neuropathy mechanisms of Huangqi Guizhi Wuwu Decoction by network pharmacology and molecular docking

Diabetic peripheral neuropathy (DPN) is the most prevalent microvascular complication of diabetes and Huangqi Guizhi Wuwu Decoction (HGWD) is frequently employed in classical Chinese medicine for treating DPN. This study aims to investigate the potential therapeutic targets and mechanisms of HGWD for treating DPN using network pharmacology and molecular docking methodologies. The intersection targets of DPN and HGWD were retrieved from the databases, with the resulting intersection targets being imported into the STRING database to construct the protein-protein interaction (PPI) network. Cytoscape 3.9.1 was used to screen the core targets and plot the herb-active ingredient-target (H-A-T) network. To identify the pivotal signaling pathways, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on intersection targets. Molecular docking was subsequently conducted with AutoDock Vina to validate the binding energy between the core active ingredients and the core targets. 91 potential targets of HGWD were identified for the treatment of DPN. Topological analysis revealed core targets, including AKT1, TNF, PPARG, NFKB1, TP53, STAT3, PTGS2, HIF1A, ESR1, and GSK3B, alongside core active ingredients such as protoporphyrin, jaranol, kaempferol, quercetin, and isorhamnetin. GO and KEGG analyses indicated that PI3K/AKT, HIF-1, and AGE/RAGE signaling pathways could be crucial in treating DPN using HGWD. Furthermore, molecular docking results demonstrated robust binding activities between the active ingredients in HGWD and the identified core targets. The above results indicated that HGWD may exerting an anti-DPN effect by modulating the PI3K/AKT, HIF-1, and AGE/RAGE signaling pathways.

Blood metabolomic profile in patients with type 2 diabetes mellitus with diabetic peripheral neuropathic pain

AIMS

This study aimed to identify metabolic markers for diabetic peripheral neuropathic pain (DPNP) in patients with type 2 diabetes mellitus (T2DM).

MATERIALS AND METHODS

Blood metabolite levels in the amino acid, biogenic amine, sphingomyelin, phosphatidylcholine (PC), carnitines, and hexose classes were analyzed in nondiabetic control (n = 27), T2DM without DPNP (n = 58), and T2DM with DPNP (n = 29) using liquid chromatography tandem mass spectrometry. Variable importance projection (VIP) evaluation by partial least squares discriminant analysis was performed on clinical parameters and metabolites.

RESULTS

Sixteen variables with VIP > 1.0 (P < 0.05) were identified across all patient groups, and 5 variables were identified to discriminate between the two T2DM groups. DPNP patients showed elevated fasting blood glucose, glutamate, PC aa C36:1, lysoPC a C18:1, and lysoPC a C18:2, while low-density lipoprotein cholesterol, phenylalanine, and tryptophan were reduced. Glutamate, lysoPC a C18:1, and lysoPC a C18:2 discriminated T2DM with DPNP from those without DPNP with an AUC of 0.671. The AUC was improved to 0.765 when ratios of metabolite pairs were considered.

INTERPRETATION

Blood metabolites include glutamate, and phospholipid-related metabolites implicated in neuropathic pain may have the potential as biomarkers for DPNP. Further investigation is required to understand the mechanism of action of these altered metabolites in DPNP.

Visceral Adiposity as an Independent Risk Factor for Diabetic Peripheral Neuropathy in Type 2 Diabetes Mellitus: A Retrospective Study

Background: Diabetic peripheral neuropathy (DPN) impacts approximately 50% of individuals with Type 2 diabetes mellitus (T2DM), leading to severe complications such as foot ulcers and amputations. Notably, visceral adiposity is increasingly recognized as a pivotal factor in augmenting the risk of DPN. We aim to evaluate the correlation between obesity-related body composition, particularly visceral fat, and DPN to facilitate early identification of high-risk patients with T2DM. Methods: This cross-sectional analysis encompassed 113 T2DM patients from the Department of Endocrinology and Metabolism at the Second Affiliated Hospital of Fujian Medical University, conducted between September 2020 and January 2021. Patients were categorized into two cohorts: those with DPN (DPN group) and those without (NDPN group). We utilized bioelectrical impedance analysis (BIA) to determine body measurements, such as weight and visceral fat area, in addition to collecting clinical and biochemical data. Logistic regression was employed to analyze the data. Results: The study uncovered a statistically significant difference in the visceral fat area between the DPN and NDPN groups (p = 0.048). Through multivariate logistic regression analysis, the visceral fat area was identified as an independent risk factor for DPN among T2DM patients (OR 1.027; 95% CI 1.004-1.051, p = 0.022). Other significant risk factors included the duration of diabetes and the presence of diabetic retinopathy. Conclusion: The visceral fat area serves as an independent risk factor for DPN in individuals with T2DM. Implementing measures to assess and manage visceral obesity could be vital in the prevention and management of DPN. This underscores the value of technologies such as BIA in clinical and community settings for early intervention.

The Potential of Neuregulin 4 as a Novel Biomarker and Therapeutic Agent for Vascular Complications in Type 2 Diabetes Mellitus

Neuregulin 4 (Nrg4), a novel adipokine produced primarily by brown adipose tissue (BAT), has been functionally characterized to exert beneficial effects on modulating energy homeostasis and glucolipid metabolism, and is closely associated with the development and progression of obesity and obesity-associated metabolic diseases, such as type 2 diabetes mellitus (T2DM) and cardiovascular diseases. Recently, there has been a growing focus on the relationship between circulating Nrg4 levels and T2DM-related vascular complications. In this review, we discussed the known and potential roles of Nrg4 in various physiological and pathological processes, and its association with vascular complications in T2DM, in the aim of finding a potential biomarker recommended for the clinical diagnosis, prognosis and follow-up of T2DM patients at high risk of developing vascular complications as well as providing new therapeutic approaches.

Screening for Diabetic Peripheral Neuropathy: Subjective Versus Objective Measures

This study compared subjective screening modalities recommended in diabetic foot screening guidelines for the detection of diabetic peripheral neuropathy (DPN) with an objective measure, the NC-Stat DPNCheck®. We assessed 63 participants (mean age 54.5 years ± 10.5) utilising subjective screening tools (Semmes-Weinstein 10-g monofilament, 128-Hz traditional tuning fork, neurothesiometer, O'Brien 128-Hz electronic tuning fork) and compared results with the objective automated sural nerve conduction test NC-Stat DPNCheck®. A significant difference was found in the number of limbs classified with DPN between all screening tools (P < .05). Therefore, this suggests that some screening modalities are more sensitive in diagnosing DPN than others, highlighting the importance of using multiple screening tools to a comprehensive understanding of the patient's neurological status. The findings also emphasize the need to incorporate objective measures in diabetic foot screening and encourage future research to establish a gold standard tool for DPN diagnosis.

Hydrogen sulfide alleviates neural degeneration probably by reducing oxidative stress and aldose reductase expression

We investigated the potential role of hydrogen sulfide (H2S) as a novel therapy for diabetic peripheral neuropathy in diabetic rats. A single dose of streptozotocin (60 mg/kg) was applied to the rats for the diabetic rat models. Sodium bisulfide (50 μmol/kg/d) was injected intraperitoneally daily for 2 weeks as H2S treatment. Electromyogram, haematoxylin eosin staining, transmission electron microscopy, western blotting and enzyme-linked immunosorbent assay were then performed. H2S treatment did not affect body weights, blood glucose levels or liver function of diabetic rats, while the creatine levels of the H2S-treated diabetic rats decreased compared with the diabetic control rats. H2S treatment for 2 weeks did not affect the sciatic nerve conduction velocity of the diabetic rats. However, H2S treatment relieved neurons loss and cell atrophy of dorsal root ganglion, and axon degeneration of sciatic nerve in diabetic rats. Serum super oxide dismutase (SOD) levels and SOD2 levels in the sciatic nerve of diabetic rats were lower than the non-diabetic rats but were restored after H2S treatment. Serum and sciatic nerve homogenate malondialdehyde and aldose reductase expression were higher in diabetic rats but decreased significantly after H2S treatment. Our study revealed that H2S alleviates neural degeneration in diabetic rats probably by reducing oxidative stress and downregulating aldose reductase expression.

Unraveling the therapeutic potential of Astilbe rivularis Buch.-Ham. ex D. Don in attenuation of diabetic neuropathy in laboratory rats

ETHNOPHARMACOLOGICAL RELEVANCE

Astilbe rivularis Buch.-Ham. ex D. Don is a rare medicinal plant, traditionally employed for treating several disorders. The juice, decoction or powder of the roots, rhizomes, leaves and even the entire plant, are used for managing peptic ulcer, diarrhoea, jaundice, sprains and muscular swellings, bone fracture and dislocation of joints, postpartum bleeding and other menstrual disorders. These conventional medicinal uses make Astilbe rivularis a promising candidate for further research.

AIM OF THE STUDY

This study was designed to explore the neuroprotective potential of hydroethanolic extract of Astilbe rivularis (ARHE) in diabetic neuropathy (DN) in rats.

MATERIALS AND METHODS

GC-MS analysis was used to identify the phytoconstituents present in the plant extract. DN was induced by administration of STZ (55 mg/kg, i.p.), 15 min after NAD (230 mg/kg, i.p.) injection. The rats with fasting blood glucose (FBG) level >250 mg/dl were included in the study. DN was assessed by estimating the level of FBG, lipid profile, and invitro and invivo oxidative stress parameters. Additionally, behavioural parameters like, mechanical hyperalgesia, hot and cold allodynia were estimated to assess diabetic neuropathy. Furthermore, the level of antioxidant enzymes like SOD, GSH, and TBARS in sciatic nerve and inflammatory markers like, TGF-β and IL-6 were measured.

RESULTS

Altogether, 30 phytoconstituents were identified including heptafluorobutyric acid, hexadecanoic acid, and beta-sitosterol depicting antioxidant, antidiabetic, and anticancer properties, respectively. Administration of different doses (100, 200, and 400 mg/kg) of ARHE to diabetic rats attenuated elevated blood glucose level and restored lipid profile, body weight, food and water intake, and antioxidant level. Moreover, elevated level of inflammatory markers like, TGF-β and IL-6 was also found to be attenuated in sciatic nerve. Furthermore, ARHE attenuated the pain response assessed by mechanical hyperalgesia and hot and cold allodynia in diabetic neuropathy rats. ARHE also showed inhibitory activity on ALR enzyme and erythrocyte sorbitol accumulation, and ameliorated oxidative stress. Histopathological study indicated improvement in the architecture of sciatic nerve tissue in diabetic neuropathy rats with the treatment of ARHE.

CONCLUSIONS

Conclusively, hydroethanolic extract of Astilbe rivularis exhibited neuroprotective potential and ameliorated diabetic neuropathy in rats.

Acupuncture for the treatment of painful diabetic peripheral neuropathy: A systematic review and meta-analysis

BACKGROUND AND PURPOSE

A growing number of studies have investigated the efficacy of acupuncture in the treatment of painful diabetic peripheral neuropathy (PDPN), but the findings of these studies have generated conflicting results. This study therefore aimed to assess the efficacy of acupuncture for treating PDPN so as to offer more conclusive results.

METHODS

Seven databases were systematically searched for studies published up until December 1, 2023. All randomized controlled trials (RCTs) of acupuncture for PDPN with visual analog scale (VAS) for pain score were included. Study selection, data extraction, and evaluation were conducted independently by researchers. The Risk of Bias 2 (RoB2) tool was employed to assess the risk of bias. From this sample, the mean difference (MD), 95 % confidence intervals (CI), publication bias, and heterogeneity were then computed.

RESULTS

The manual acupuncture group exhibited a significant decrease in the VAS for pain score compared with the routine care group (p < 0.0001; MD = -1.45 [95 % CI, -1.97 to -0.93], I2 = 84 %). The real acupuncture group demonstrated a greater reduction in VAS scores than the sham acupuncture group (p = 0.004; MD = -0.97 [95 % CI, -1.63 to -0.31], I2 = 65 %). Additionally, the acupuncture group showed improvements in sensory nerve conduction velocity (SNCV, p < 0.0001; MD = 2.29 [95 % CI, 1.79 to 2.78], I2 = 14 %) as well as motor nerve conduction velocity (MNCV, p < 0.0001; MD = 2.87 [95 % CI, 2.46 to 3.27], I2 = 0). Different durations of acupuncture treatment, including 6-10 weeks and 3-4 weeks, demonstrated a significant reduction in VAS scores compared with the routine care group.

CONCLUSION

This meta-analysis provides preliminary evidence for the claim that acupuncture has the potential to alleviate PDPN symptoms and improve SNCV and MNCV. However, high-quality RCTs are needed to offer further evidence and thus better substantiate such a contention.

VEGF-loaded ROS-responsive nanodots improve the structure and function of sciatic nerve lesions in type II diabetic peripheral neuropathy

Diabetic peripheral neuropathy (DPN) is a prevalent complication of diabetes mellitus (DM), significantly contributing to the risk of amputation and mortality. Reactive oxygen species (ROS) can induce both neurological and structural harm through direct impact and pyroptosis, underscoring the critical role of ROS regulation in mitigating DPN. In this research endeavor, we propose harnessing the inherent antioxidant properties of sulfhydryl groups by grafting them onto gold nanodots through an amidation reaction, resulting in the creation of ROS-responsive AuNDs. Additionally, we aim to synthesize AuNDs-VEGF, wherein VEGF is attached to AuNDs via electrostatic interactions, as a therapeutic strategy for addressing DPN in rat models. The results of in vivo experiments showed that AuNDs and AuNDs-VEGF nanoparticles could increase the nerve conduction velocity, shorten the latency of nerve conduction in the sciatic nerve, promote the regeneration of nerve trophectodermal vessels, improve the structure and function of the sciatic nerve, reduce the apoptosis of neural cells, and alleviate the atrophy of the gastrocnemius muscle. Thus, VEGF-loaded ROS-responsive nanodots present a promising avenue for ameliorating diabetic peripheral neuropathy. This innovative approach not only extends the application possibilities of nanodots but also introduces a novel avenue for the treatment of diabetic neuropathy.

Effect of the glucagon-like peptide-1 receptor agonists on diabetic peripheral neuropathy: A meta-analysis

Previous researches found that glucagon-like peptide 1 receptor agonists (GLP-1RA) offer benefits beyond their anti-diabetic properties, including weight loss and cardiovascular disease prevention. However, the effects of GLP-1RA on diabetic peripheral neuropathy (DPN) remain unclear. This meta-analysis aims to assess the potential benefits of GLP-1RA treatment in DPN patients by evaluating peripheral neural function. Following the Cochrane Collaboration and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a meta-analysis of the clinical trials investigating the impact of GLP-1RA treatment on peripheral neural function in patients with DPN. Outcomes were measured using electrophysiological tests, including nerve conduction velocity (NCV) and action potential amplitude. Our meta-analysis included six studies with 271 participants. Following GLP-1RA treatment, NCV significantly improved compared to the control group (MD 1.74; 95% CI 1.16 to 2.33; p < 0.001) and before treatment (MD 2.16; 95% CI 1.04 to 3.27; p < 0.001). Despite the improvement in NCV, blood glucose levels did not change significantly (MD -0.20 95% CI -0.87 to 0.46, p = 0.55) indicating that GLP-1RA enhances NCV through mechanisms other than glucose lowering. Nonetheless, as a result of the limited population studied, further research is needed to strengthen the reliability of these findings.

Short term efficacy of subtalar arthroscopy combined with medial calcaneal-talar joint distraction in minimally invasive treatment of diabetic patients with calcaneal fractures: a retrospective study

BACKGROUND

The surgical treatment and management of postoperative soft tissue complications in diabetic patients with displaced calcaneal fractures are still controversial. We aimed to evaluate the short-term efficacy of percutaneous minimally invasive screw fixation in treatment of diabetic patients with Sanders II and III calcaneal fractures under subtalar arthroscopy assisted by preoperative musculoskeletal ultrasonic locating lateral calcaneal branch (LCB) of the sural nerve and calcaneal-talar joint distraction device.

METHODS

The clinical data of 52 diabetic patients diagnosed with Sanders II or III calcaneal fractures from March 2016 to August 2020 were followed up and analyzed. There were 23 patients of type II and 29 patients of type III, 34 males and 18 females, with a mean age of 61.7 ± 14.5 years (range: 45-72 years). Preoperative musculoskeletal ultrasonography was routinely examined to locate LCB of the sural nerve. During surgery, we performed arthroscopic percutaneous prying reduction screw fixation assisted by medial calcaneal-talar joint distraction. Incision healing, local skin paraesthesia and other conditions were observed regularly at 3 days, 6, 12 months, and the last follow-up after surgery. Also, we measured the length, width, height, Böhler angle, and Gissane angle of the calcaneus on lateral and axial x-rays. Visual analogue pain scale (VAS), American Orthopedic Foot and Ankle Society (AOFAS) score and Maryland score were used to evaluate the efficacy.

RESULTS

52 patients were followed up for 23.7 ± 3.2 months (range: 20-28 months) without incision-related complications. Calcaneal radiographic parameters (length, width, height, Böhler/Gissane angle) were improved after surgery, and the differences were all statistically significant (P<0.05). There was no difference between calcaneal radiographic parameters at 6,12 months and the last follow-up compared with 3 days after surgery without significant loss in overall morphology (P>0.05). Postoperative VAS, AOFAS scores, and Maryland scores were significantly improved compared with those before surgery (P<0.05).

CONCLUSIONS

Preoperative ultrasonic locating LCB of the sural nerve and arthroscopic percutaneous minimally invasive screw fixation of Sanders II and III calcaneal fractures with the assistance of calcaneal-talar joint distraction have good short-term efficacy and clinical feasibility in diabetic patients.

Development of a transformer-based deep learning algorithm for diabetic peripheral neuropathy classification using corneal confocal microscopy images

Background

Diabetic peripheral neuropathy (DPN) is common and can go unnoticed until it is firmly developed. This study aims to establish a transformer-based deep learning algorithm (DLA) to classify corneal confocal microscopy (CCM) images, identifying DPN in diabetic patients.

Methods

Our classification model differs from traditional convolutional neural networks (CNNs) using a Swin transformer network with a hierarchical architecture backbone. Participants included those with (DPN+, n = 57) or without (DPN-, n = 37) DPN as determined by the updated Toronto consensus criteria. The CCM image dataset (consisting of 570 DPN+ and 370 DPN- images, with five images selected from each participant's left and right eyes) was randomly divided into training, validation, and test subsets at a 7:1:2 ratio, considering individual participants. The effectiveness of the algorithm was assessed using diagnostic accuracy measures, such as sensitivity, specificity, and accuracy, in conjunction with Grad-CAM visualization techniques to interpret the model's decisions.

Results

In the DPN + group (n = 12), the transformer model successfully predicted all participants, while in the DPN- group (n = 7), one participant was misclassified as DPN+, with an area under the curve (AUC) of 0.9405 (95% CI 0.8166, 1.0000). Among the DPN + images (n = 120), 117 were correctly classified, and among the DPN- images (n = 70), 49 were correctly classified, with an AUC of 0.8996 (95% CI 0.8502, 0.9491). For single-image predictions, the transformer model achieved a superior AUC relative to the ResNet50 model (0.8761, 95% CI 0.8155, 0.9366), the Inception_v3 model (0.8802, 95% CI 0.8231, 0.9374), and the DenseNet121 model (0.8965, 95% CI 0.8438, 0.9491).

Conclusion

Transformer-based networks outperform CNN-based networks in rapid binary DPN classification. Transformer-based DLAs have clinical DPN screening potential.

Morphological Variability of the Sural Nerve and Its Clinical Significance

The sural nerve provides sensory innervation to the skin on the distal posterolateral third of the lower extremity. The morphological variants are characterized by high variability. However, it most commonly arises from a union of the medial sural cutaneous nerve and the peroneal communicating branch of the common fibular nerve. This article overviews the anatomical and clinical significance of the sural nerve. Despite the remarkable development of genetic diagnostics, sural nerve biopsy is still a very important tool to diagnose peripheral neuropathies such as diabetic, vascular and inflammatory neuropathies. Furthermore, the sural nerve is also commonly transplanted due to its characteristics. Such a procedure is applicable in cases of segmental nerve loss, but it is also used to restore potency in patients after radical prostatectomy. The knowledge of anatomical variants of the sural nerve is also crucial as it allows to minimize its damage during surgical procedures. Furthermore, during an ankle surgery, a nerve block can be used to complement anesthesia. The major aim of this work is to review contributions of the sural nerve to physiological and pathophysiological processes.

Increased brain iron deposition in the basial ganglia is associated with cognitive and motor dysfunction in type 2 diabetes mellitus

OBJECTIVE

Compared with those in type 2 diabetes mellitus (T2DM) patients without diabetic peripheral neuropathy (DPN), alterations in brain iron levels in the basal ganglia (an iron-rich region) and motor and cognitive dysfunction in T2DM patients with DPN have not been fully elucidated. We aimed to explore changes in brain iron levels in the basal ganglia in T2DM patients with DPN using quantitative susceptibility mapping (QSM).

METHODS

Thirty-four patients with DPN, fifty-five patients with diabetes without DPN (non-DPN, NDPN), and fifty-one healthy controls (HCs) were recruited and underwent cognitive and motor assessments, blood biochemical tests, and brain QSM imaging. One-way ANOVA was applied to evaluate the variations in cognitive, motor and blood biochemical indicators across the three groups. Then, we performed multiple linear regression analysis to identify the possible factors associated with the significant differences in susceptibility values of the basal ganglia subregions between the two T2DM groups.

RESULTS

Susceptibility values in the putamen and the caudate nucleus were greater in the T2DM patients than in the HCs (DPN patients vs. HCs, p < 0.05; NDPN patients vs. HCs, p < 0.05, FDR correction), and there were no significant differences between the DPN patients and NDPN patients. Multiple linear regression analysis revealed that age and history of diabetes played crucialroles in brain iron deposition in the putamen and the caudate nucleus. Notably, DPN in T2DM patients had no effect on brain iron deposition in the putamen or the caudate nucleus. The susceptibility values of the putamen was positively correlated with the Timed Up and Go test score and negatively correlated with gait speed, the Montreal Cognitive Assessment score, and the Symbol Digit Modalities Test score in T2DM patients.

CONCLUSIONS

Iron-based susceptibility in the putamen, measured by QSM, can reflect motor function in T2DM patients and might indicate micropathological changes in brain tissue in T2DM patients.

Research Progress of Coenzyme Q in Diabetes Mellitus and Its Common Complications

Coenzyme Q has garnered significant attention due to its potential role in enhancing cellular energy production and its antioxidant properties. We delve into the therapeutic potential of coenzyme Q in managing diabetes mellitus and its complications, highlighting its capacity to improve mitochondrial function, reduce inflammation and oxidative stress, and correct lipid profiles. Coenzyme Q has shown promise in ameliorating insulin resistance and alleviating complications such as diabetic peripheral neuropathy, kidney disease, retinopathy, and cardiomyopathy. However, its clinical application is limited by poor bio-availability. This review also provides a comprehensive overview of current therapeutic strategies for diabetes complications involving coenzyme Q, including stimulating endogenous synthesis and utilizing carrier transport systems, offering insights into mechanisms for enhancing coenzyme Q bio-availability. These findings suggest that, with improved delivery methods, coenzyme Q could become a valuable adjunct therapy in the management of diabetes mellitus.

HDAC1 Promotes Mitochondrial Pathway Apoptosis and Inhibits the Endoplasmic Reticulum Stress Response in High Glucose-Treated Schwann Cells via Decreased U4 Spliceosomal RNA

Dysfunction of Schwann cells, including cell apoptosis, autophagy inhibition, dedifferentiation, and pyroptosis, is a pivotal pathogenic factor in induced diabetic peripheral neuropathy (DPN). Histone deacetylases (HDACs) are an important family of proteins that epigenetically regulate gene transcription by affecting chromatin dynamics. Here, we explored the effect of HDAC1 on high glucose-cultured Schwann cells. HDAC1 expression was increased in diabetic mice and high glucose-cultured RSC96 cells, accompanied by cell apoptosis. High glucose also increased the mitochondrial pathway apoptosis-related Bax/Bcl-2 and cleaved caspase-9/caspase-9 ratios and decreased endoplasmic reticulum response-related GRP78, CHOP, and ATF4 expression in RSC96 cells (P < 0.05). Furthermore, overexpression of HDAC1 increased the ratios of Bax/Bcl-2, cleaved caspase-9/caspase-9, and cleaved caspase-3 and reduced the levels of GRP78, CHOP, and ATF4 in RSC96 cells (P < 0.05). In contrast, knockdown of HDAC1 inhibited high glucose-promoted mitochondrial pathway apoptosis and suppressed the endoplasmic reticulum response. Moreover, RNA sequencing revealed that U4 spliceosomal RNA was significantly reduced in HDAC1-overexpressing RSC96 cells. Silencing of U4 spliceosomal RNA led to an increase in Bax/Bcl-2 and cleaved caspase-9 and a decrease in CHOP and ATF4. Conversely, overexpression of U4 spliceosomal RNA blocked HDAC1-promoted mitochondrial pathway apoptosis and inhibited the endoplasmic reticulum response. In addition, alternative splicing analysis of HDAC1-overexpressing RSC96 cells showed that significantly differential intron retention (IR) of Rpl21, Cdc34, and Mtmr11 might be dominant downstream targets that mediate U4 deficiency-induced Schwann cell dysfunction. Taken together, these findings indicate that HDAC1 promotes mitochondrial pathway-mediated apoptosis and inhibits the endoplasmic reticulum stress response in high glucose-cultured Schwann cells by decreasing the U4 spliceosomal RNA/IR of Rpl21, Cdc34, and Mtmr11.

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

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

Comprehensive assessment of ocular parameters for identifying diagnostic indicators of diabetic peripheral neuropathy

PURPOSE

To explore variations in systemic and ocular parameters among patients with diabetes, both with and without diabetic peripheral neuropathy (DPN) and to identify sensitive indicators for DPN diagnosis.

METHODS

Ninty-five patients with type 2 diabetes mellitus (T2DM) were involved in this cross-sectional study, including 49 without DPN and 46 with DPN. Ocular parameters were obtained using optical coherence tomography angiography (OCTA) and corneal confocal microscopy (CCM).

RESULT

Patients with DPN presented with significantly higher HbA1c (p < 0.05) and glycated albumin (GA, p < 0.01) levels, increased prevalence of diabetic retinopathy (DR, p < 0.05), and lower serum albumin (ALB, p < 0.01) and red blood cell (RBC, p < 0.05) levels. Ocular assessments revealed reduced corneal nerve fiber length (CNFL, p < 0.001) and enlarged foveal avascular zone (FAZ) area (p < 0.05) in DPN group. Logistic regression analysis indicated a significant association of presence of DR, RBC, GA, ALB, CNFL and DPN (p < 0.05, respectively). In the binary logistic regression for DPN risk, all three models including the presence of DR and CNFL exhibited the area under the curve (AUC) exceeding 0.8.

CONCLUSION

The study establishes a strong correlation between ocular parameters and DPN, highlighting CCM's role in early diagnosis. Combining systemic and ocular indicators improves DPN risk assessment and early management.

Game-Based Assessment of Peripheral Neuropathy Combining Sensor-Equipped Insoles, Video Games, and AI: Proof-of-Concept Study

BACKGROUND

Detecting peripheral neuropathy (PNP) is crucial in preventing complications such as foot ulceration. Clinical examinations for PNP are infrequently provided to patients at high risk due to restrictions on facilities, care providers, or time. A gamified health assessment approach combining wearable sensors holds the potential to address these challenges and provide individuals with instantaneous feedback on their health status.

OBJECTIVE

We aimed to develop and evaluate an application that assesses PNP through video games controlled by pressure sensor-equipped insoles.

METHODS

In the proof-of-concept exploratory cohort study, a complete game-based framework that allowed the study participant to play 4 video games solely by modulating plantar pressure values was established in an outpatient clinic setting. Foot plantar pressures were measured by the sensor-equipped insole and transferred via Bluetooth to an Android tablet for game control in real time. Game results and sensor data were delivered to the study server for visualization and analysis. Each session lasted about 15 minutes. In total, 299 patients with diabetes mellitus and 30 with metabolic syndrome were tested using the game application. Patients' game performance was initially assessed by hypothesis-driven key capabilities that consisted of reaction time, sensation, skillfulness, balance, endurance, and muscle strength. Subsequently, specific game features were extracted from gaming data sets and compared with nerve conduction study findings, neuropathy symptoms, or disability scores. Multiple machine learning algorithms were applied to 70% (n=122) of acquired data to train predictive models for PNP, while the remaining data were held out for final model evaluation.

RESULTS

Overall, clinically evident PNP was present in 247 of 329 (75.1%) participants, with 88 (26.7%) individuals showing asymmetric nerve deficits. In a subcohort (n=37) undergoing nerve conduction study as the gold standard, sensory and motor nerve conduction velocities and nerve amplitudes in lower extremities significantly correlated with 79 game features (|R|>0.4, highest R value +0.65; P<.001; adjusted R2=0.36). Within another subcohort (n=173) with normal cognition and matched covariates (age, sex, BMI, etc), hypothesis-driven key capabilities and specific game features were significantly correlated with the presence of PNP. Predictive models using selected game features achieved 76.1% (left) and 81.7% (right foot) accuracy for PNP detection. Multiclass models yielded an area under the receiver operating characteristic curve of 0.76 (left foot) and 0.72 (right foot) for assessing nerve damage patterns (small, large, or mixed nerve fiber damage).

CONCLUSIONS

The game-based application presents a promising avenue for PNP screening and classification. Evaluation in expanded cohorts may iteratively optimize artificial intelligence model efficacy. The integration of engaging motivational elements and automated data interpretation will support acceptance as a telemedical application.

Relationship of lncRNA FTX and miR-186-5p levels with diabetic peripheral neuropathy in type 2 diabetes and its bioinformatics analysis

BACKGROUND

Diabetic peripheral neuropathy (DPN) frequently occurs as a secondary condition in individuals with type 2 diabetes mellitus (T2DM).

OBJECTIVE

To explore the relationship of lncRNA FTX and miR-186-5p levels with DPN in T2DM.

METHODS

The study enrolled 50 patients with T2DM and 45 patients with DPN. Expression levels of FTX and miR-186-5p were measured by RT-qPCR. The levels of MDA, GSH, and SOD in the serum were measured to assess the patients' oxidative stress levels. In addition, the target genes of miR-186-5p were analyzed by bioinformatics.

RESULTS

Serum FTX levels were increased and miR-186-5p levels were decreased in patients with T2DM and DPN. Both of them had high diagnostic value for T2DM and DPN. In addition, FTX and miR-186-5p were risk factors for the onset of DPN in people with T2DM and were significantly correlated with oxidative stress indicators in patients.

CONCLUSION

FTX and miR-186-5p are closely related to the disease progression of DPN in people with T2DM and may become therapeutic targets for DPN in people with T2DM.

Establishment and external validation of an early warning model of diabetic peripheral neuropathy based on random forest and logistic regression

OBJECTIVE

The primary objective of this study was to investigate the risk factors for diabetic peripheral neuropathy (DPN) and to establish an early diagnostic prediction model for its onset, based on clinical data and biochemical indices.

METHODS

Retrospective data were collected from 1,446 diabetic patients at the First Affiliated Hospital of Anhui University of Chinese Medicine and were split into training and internal validation sets in a 7:3 ratio. Additionally, 360 diabetic patients from the Second Affiliated Hospital were used as an external validation cohort. Feature selection was conducted within the training set, where univariate logistic regression identified variables with a p-value < 0.05, followed by backward elimination to construct the logistic regression model. Concurrently, the random forest algorithm was applied to the training set to identify the top 10 most important features, with hyperparameter optimization performed via grid search combined with cross-validation. Model performance was evaluated using ROC curves, decision curve analysis, and calibration curves. Model fit was assessed using the Hosmer-Lemeshow test, followed by Brier Score evaluation for the random forest model. Ten-fold cross-validation was employed for further validation, and SHAP analysis was conducted to enhance model interpretability.

RESULTS

A nomogram model was developed using logistic regression with key features: limb numbness, limb pain, diabetic retinopathy, diabetic kidney disease, urinary protein, diastolic blood pressure, white blood cell count, HbA1c, and high-density lipoprotein cholesterol. The model achieved AUCs of 0.91, 0.88, and 0.88 for the training, validation, and test sets, respectively, with a mean AUC of 0.902 across 10-fold cross-validation. Hosmer-Lemeshow test results showed p-values of 0.595, 0.418, and 0.126 for the training, validation, and test sets, respectively. The random forest model demonstrated AUCs of 0.95, 0.88, and 0.88 for the training, validation, and test sets, respectively, with a mean AUC of 0.886 across 10-fold cross-validation. The Brier score indicates a good calibration level, with values of 0.104, 0.143, and 0.142 for the training, validation, and test sets, respectively.

CONCLUSION

The developed nomogram exhibits promise as an effective tool for the diagnosis of diabetic peripheral neuropathy in clinical settings.

Causality between sarcopenia and diabetic neuropathy

Background

Past studies have demonstrated that diabetic neuropathy is related to sarcopenia, but the further causal relation is still unclear. We sought to investigate the causal relationship by combining data from cross-sectional and Mendelian randomization (MR) studies.

Methods

The genome-wide association studies data were collected from the UK Biobank and the European Working Group on Sarcopenia to conduct a bi-directional two-sample MR study to explore the causality between diabetic neuropathy and relevant clinical traits of sarcopenia, including appendicular lean mass (ALM), walking speed and low hand grip strength. The inverse-variance weighted and various sensitivity analyses were used to obtain MR estimates. We also enrolled a total of 196 Type 2 diabetes patients from April 2021 to April 2024 and divided them into the Distal peripheral neuropathy (DPN) group (n=51) and non-DPN group (n=145) via vibration perception threshold (VPT) and neuropathy deficit score. Logistic regression and ROC curve analysis were used to investigate the relationship between DPN and relevant sarcopenia clinical features.

Results

According to a forward MR analysis, decreased walking speed (OR: 0.04, 95% confidence interval (CI): 0.01-0.16; P<0.001) and increased ALM (1.25 [1.05-1.50], P=0.012) had a causal effect on developing diabetic neuropathy. According to reverse MR results, developing diabetic neuropathy had a causal effect on decreased walking speed (0.99 [0.99-1.00], P=0.007) and low grip strength (1.05 [1.02-1.08], P<0.001). The cross-sectional study showed that 5-time stand time (P=0.002) and 6-meter walking speed (P=0.009) had an inverse association with DPN. Additionally, we discovered that ASMI (P=0.030) and 5-time stand time (P=0.013) were separate risk factors for DPN.ConclusionThe MR study suggested that diabetic neuropathy may have a causality with relevant clinical traits of sarcopenia, and our cross-sectional study further proved that sarcopenia indexes are predictors of diabetic neuropathy.

Screening tools for diabetic foot ulcers: a narrative review

The prevalence of diabetic foot ulcers (DFUs) is 4 to 10% among people with diabetes mellitus. DFUs are associated with increased morbidity and mortality as well as reduced quality of life and have a significant impact on overall healthcare expenditure. The main predisposing factors for DFU are diabetic neuropathy, peripheral arterial disease, and trauma. The fact that a range of tests can be used to identify patients at risk for DFU often causes confusion among practitioners regarding which screening tests should be implemented in clinical practice. Herein we sought to determine whether tests of somatic nerve function, such as pinprick sensation, thermal (cold/hot) test, ankle reflexes, vibration perception, 10-g monofilament, Ipswich touch test, neuropathy disability score, and nerve conduction studies, predict the development of DFUs. In addition, we examined whether sudomotor function screening tests, such as Neuropad, sympathetic skin response, and other tests, such as elevated plantar pressure or temperature measurements, can be used for DFU screening. If not treated properly, DFUs can have serious consequences, including amputation, early detection and treatment are vital for patient outcomes.

Application of Bletilla striata polysaccharide hydrogel for wound healing among in diabetes

Diabetes has become an increasingly serious global health crisis. Long-term hyperglycemia can lead to vascular and neurological disorders, thus deterring wound healing. Therefore, exploring treatment modalities for wounds in individuals with diabetes is clinically significant. Bletilla striata polysaccharide and bioactive natural polymers carbomer 940 and carboxymethyl chitosan (CMC) are cross-linked to form the Bletilla striata polysaccharide hydrogel (named CCHG/BSP). Upon characterization, we found that the hydrogel has a porous structure and good mechanical and moisture retention properties. A hemolysis test revealed that the hydrogel had high safety. Furthermore, the hydrogel effectively promoted proliferation and migration in mouse L929 fibroblasts. In back wounds inflicted in a streptozotocin-induced mouse model of diabetes, the CCHG/BSP hydrogel significantly promoted wound healing. Hematoxylin-eosin, Masson's trichrome, and immunohistochemical staining of tissues around the wound suggest that the mechanism underlying wound healing in diabetes may involve the promotion of angiogenesis, regulation of inflammation, and promotion of collagen regeneration. This provides a foundation for studies on and the development of new BSP pharmacotherapeutic products and the clinical application of its hydrogel dressing, and provide novel avenues for treating wounds in individuals with diabetes.

Exploration of the Mechanisms of Bu-Yang-Huan-Wu Decoction in the Treatment of Diabetic Peripheral Neuropathy by Integrating of Serum Pharmacochemistry and Network Pharmacology

Diabetic peripheral neuropathy (DPN) is a significant and frequent complication of diabetes. Bu-Yang-Huan-Wu Decoction (BHD) is a classic traditional Chinese herbal prescription that is commonly used in modern clinical practice for the effective treatment of DPN, but the underlying mechanism is not yet clearly defined. The chemical constituents of BHD were characterized by UPLC-Q-Orbitrap HR MS/MS, and a total of 101 chemical components were identified, including 30 components absorbed into blood. An interaction network of "compound-target-disease" interactions was constructed based on the compounds detected absorbed in blood and their corresponding targets of diabetic neuropathy acquired from disease gene databases, and the possible biological targets and potential signalling pathways of BHD were predicted via network pharmacology analysis. Subsequently, methylglyoxal-induced (MGO-induced) Schwann cells (SCs) were used to identify the active ingredients in blood components of BHD and verify the molecular mechanisms of BHD. Through network topological analysis, 30 shared targets strongly implicated in the anti-DPN effects of BHD were identifed. Combined network pharmacology and in vitro cellular analysis, we found that the active ingredient of BHD may treat DPN by modulating the AGEs/RAGE pathway. This study provides valuable evidence for future mechanistic studies and potential therapeutic applications for patients with DPN.

Whether coagulation dysfunction influences the onset and progression of diabetic peripheral neuropathy: A multicenter study in middle-aged and aged patients with type 2 diabetes

BACKGROUND

Nearly half of patients with diabetes experience diabetic peripheral neuropathy (DPN), resulting in a mere 53% survival rate within 3 years. Aberrations in coagulation function have been implicated in the pathogenesis of microvascular complications, prompting the need for a thorough investigation into its role as a contributing factor in the development and progression of DPN.

METHODS

Data were gathered from 1211 type 2 diabetes patients admitted to five centers from September 2018 to October 2022 in China. DPN was evaluated by symptoms and electromyography. Motor and sensory nerve conduction velocity (NCV) was appraised and the NCV sum score was calculated for the median, ulnar, and peroneal motor or sensory nerves.

RESULTS

Patients with DPN exhibited alterations in coagulation function. (i) Specifically, they exhibited prolonged thrombin time (p = 0.012), elevated fibrinogen (p < 0.001), and shortened activated partial thromboplastin time (APTT; p = 0.026) when compared to the control group. (ii) After accounting for potential confounders in linear regression, fibrinogen, and D-dimer were negatively related to the motor NCV, motor amplitude values, and mean velocity and amplitude. Also, fibrinogen was associated with higher Michigan neuropathy screening instrument (MNSI) scores (β 0.140; p = 0.001). This result of fibrinogen can be validated in the validation cohort with 317 diabetic patients. (iii) Fibrinogen was independently associated with the risk of DPN (OR 1.172; p = 0.035). In the total age group, DPN occurred at a slower rate until the predicted fibrinogen level reached around 3.75 g/L, after which the risk sharply escalated.

CONCLUSIONS

Coagulation function is warranted to be concerned in patients with type 2 diabetes to predict and prevent the occurrence of DPN in clinical practice.

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.

Advances in the treatment of diabetic peripheral neuropathy by modulating gut microbiota with traditional Chinese medicine

Diabetic peripheral neuropathy (DPN) is one of the strongest risk factors for diabetic foot ulcers (neuropathic ulcerations) and the existing ulcers may further deteriorate due to the damage to sensory neurons. Moreover, the resulting numbness in the limbs causes difficulty in discovering these ulcerations in a short time. DPN is associated with gut microbiota dysbiosis. Traditional Chinese medicine (TCM) compounds such as Shenqi Dihuang Decoction, Huangkui Capsules and Qidi Tangshen Granules can reduce the clinical symptoms of diabetic nephropathy by modulating gut microbiota. The current review discusses whether TCM compounds can reduce the risk of DPN by improving gut mic-robiota.

C ucumis melo compounds: A new avenue for ALR-2 inhibition in diabetes mellitus

Diabetes mellitus (DM) is a prominent contributor to morbidity and mortality in developed nations, primarily attributable to vascular complications such as atherothrombosis occurring in the coronary arteries. Aldose reductase (ALR2), the main enzyme in the polyol pathway, catalyzes the conversion of glucose to sorbitol, leading to a significant buildup of reactive oxygen species in different tissues. It is therefore a prime candidate for therapeutic targeting, and extensive study is currently underway to discover novel natural compounds that can inhibit it. Cucumis melo (C. melo) has a long history as a lipid-lowering ethanopharmaceutical plant. In this study, compounds derived from C. melo were computationally evaluated as possible lead candidates. Various computational filtering methods were employed to assess the drug-like properties and ADMET (absorption, distribution, metabolism, excretion, and toxicity) profiles of the compounds. The compounds were subsequently addressed to analysis of their interactions, molecular docking, and molecular dynamics simulation studies. When compared to the conventional therapeutic compounds, three compounds exhibited enhanced binding affinity and intra-molecular residue interactions, resulting in increased stability and specificity. Consequently, four potent inhibitors, namely PubChem CIDs 119205, 65373, 6184, and 332427, have been identified. These inhibitors exhibit promising potential as pharmacological targets for the advancement of novel ALR-2 inhibitors.

Diabetic peripheral neuropathy based on Schwann cell injury: mechanisms of cell death regulation and therapeutic perspectives

Diabetic peripheral neuropathy (DPN) is a complication of diabetes mellitus that lacks specific treatment, its high prevalence and disabling neuropathic pain greatly affects patients' physical and mental health. Schwann cells (SCs) are the major glial cells of the peripheral nervous system, which play an important role in various inflammatory and metabolic neuropathies by providing nutritional support, wrapping axons and promoting repair and regeneration. Increasingly, high glucose (HG) has been found to promote the progression of DPN pathogenesis by targeting SCs death regulation, thus revealing the specific molecular process of programmed cell death (PCD) in which SCs are disrupted is an important link to gain insight into the pathogenesis of DPN. This paper is the first to review the recent progress of HG studies on apoptosis, autophagy, pyroptosis, ferroptosis and necroptosis pathways in SCs, and points out the crosstalk between various PCDs and the related therapeutic perspectives, with the aim of providing new perspectives for a deeper understanding of the mechanisms of DPN and the exploration of effective therapeutic targets.

Systematic review of translational insights: Neuromodulation in animal models for Diabetic Peripheral Neuropathy

Diabetic Peripheral Neuropathy (DPN) is a prevalent and debilitating complication of diabetes, affecting a significant proportion of the diabetic population. Neuromodulation, an emerging therapeutic approach, has shown promise in the management of DPN symptoms. This systematic review aims to synthesize and analyze the current advancements in neuromodulation techniques for the treatment of DPN utilizing studies with preclinical animal models. A comprehensive search was conducted across multiple databases, including PubMed, Scopus, and Web of Science. Inclusion criteria were focused on studies utilizing preclinical animal models for DPN that investigated the efficacy of various neuromodulation techniques, such as spinal cord stimulation, transcranial magnetic stimulation, and peripheral nerve stimulation. The findings suggest that neuromodulation significantly alleviated pain symptoms associated with DPN. Moreover, some studies reported improvements in nerve conduction velocity and reduction in nerve damage. The mechanisms underlying these effects appeared to involve modulation of pain pathways and enhancement of neurotrophic factors. However, the review also highlights the variability in methodology and stimulation parameters across studies, highlighting the need for standardization in future research. Additionally, while the results are promising, the translation of these findings from animal models to human clinical practice requires careful consideration. This review concludes that neuromodulation presents a potentially effective therapeutic strategy for DPN, but further research is necessary to optimize protocols and understand the underlying molecular mechanisms. It also emphasizes the importance of bridging the gap between preclinical findings and clinical applications to improve the management of DPN in diabetic patients.

Triglyceride Glucose Index for the Detection of Diabetic Kidney Disease and Diabetic Peripheral Neuropathy in Hospitalized Patients with Type 2 Diabetes

INTRODUCTION

The triglyceride-glucose index (TyG) has been identified as a dependable and simple indicator marker of insulin resistance (IR). Research has demonstrated a correlation between macrovascular complications and TyG. However, limited research exists regarding the relationship between TyG and diabetic microvascular complications. Consequently, the objective of this study is to investigate the association between TyG and diabetic kidney disease (DKD) and diabetic peripheral neuropathy (DPN).

METHODS

This is a cross-sectional, observational study. A total of 2048 patients from Tongren Hospital, Shanghai Jiao Tong University School of Medicine were enrolled. The primary outcomes are DKD and DPN. Quantile regression analysis was employed to investigate the implicit factors of TyG quartiles. Subsequently, based on implicit factors, logistic regression models were constructed to further examine the relationship between TyG and DKD and DPN.

RESULTS

In the baseline, TyG exhibited higher values across patients with DKD, DPN, and co-existence of DKD and DPN (DKD + DPN) in type 2 diabetes (T2D). Univariate logistic regressions demonstrated a significant association between an elevated TyG and an increased risk of DKD (OR = 1.842, [95% CI] 1.317-2.578, P for trend < 0.01), DPN (OR = 1.516, [95% CI] 1.114-2.288, P for trend < 0.05), DKD + DPN (OR = 2.088, [95% CI] 1.429-3.052, P for trend < 0.05). Multivariable logistic regression models suggested a statistically significant increase in the risk of DKD (OR = 1.581, [95% CI] 1.031-2.424, p < 0.05), DKD + DPN (OR = 1.779, [95% CI] 1.091-2.903, p < 0.05) after adjusting the implicit factors of TyG quartiles. However, no significant relationship was observed between TyG and DPN in the multivariable regression analysis.

CONCLUSIONS

Elevated TyG was significantly associated with an increased risk of DKD in T2D, but no significant relationship was shown with DPN. This finding provided further evidence for the clinical significance of integrating TyG into the initial assessment of diabetic microvascular complications.

Management of Diabetic Foot Ulcers with Two Forefoot Offloading Techniques: Case Series

ABSTRACT

Offloading is a key principle to healing diabetic foot ulcers. Nonremovable knee-high offloading devices are considered the criterion standard for offloading plantar forefoot ulcers. However, patients exhibit a limited tolerance for these devices, which contributes to a lack of use. In this case series describing two patients, the authors share two alternative offloading modalities for the treatment of diabetic plantar forefoot ulcers. One patient was managed using a football offloading dressing, and the other was managed with a modified felted football dressing. The football and modified felted football offloading dressings provide a cost-effective, less time-consuming application and often are a better-tolerated alternative to nonremovable knee-high offloading devices. Clinical findings support further investigation into dressing options tolerated by patients with improved adherence and optimal healing outcomes.

Glycemic variability is associated with sural nerve conduction velocity in outpatients with type 2 diabetes: Usefulness of a new point-of-care device for nerve conduction studies

AIMS/INTRODUCTION

Although several studies have shown the association between continuous glucose monitoring (CGM)-derived glycemic variability (GV) and diabetic peripheral neuropathy, no studies have focused on outpatients or used NC-stat®/DPNCheck™, a new point-of-care device for nerve conduction study (NCS). We investigated the association between CGM-derived GV and NCS using DPNCheck™ in outpatients with type 2 diabetes, and further analyzed the difference in results between patients with and without well-controlled HbA1c levels.

MATERIALS AND METHODS

All outpatients with type 2 diabetes using the CGM device (FreeStyle Libre Pro®) between 2017 and 2022 were investigated. Sural nerve conduction was evaluated by sensory nerve action potential (SNAP) amplitude and sensory conduction velocity (SCV) using DPNCheck™. Associations of CGM-derived GV metrics with SNAP amplitude and SCV were investigated.

RESULTS

In total, 304 outpatients with type 2 diabetes were included. In a linear regression model, most CGM-derived GV metrics except for the mean amplitude of glucose excursion and low blood glucose index were significantly associated with SCV, but not with SNAP amplitude. The significant associations of most CGM-derived GV metrics with SCV remained after adjustment for possible confounding factors, but not after adjustment for glycated hemoglobin (HbA1c). Most CGM-derived GV metrics were significantly associated with SCV after adjustment for HbA1c in patients with a HbA1c ≤ 6.9%, but not in those with a HbA1c ≥ 7.0%.

CONCLUSIONS

In outpatients with type 2 diabetes, multiple CGM-derived GV metrics were significantly associated with SCV obtained by DPNCheck™. GV may have independent impacts on peripheral nerve function, particularly in patients with well-controlled HbA1c levels.

Early detection of altered cold perception in elderly with type 2 diabetes using a novel Quantitative Sensory Testing method

AIM

To compare the effectiveness of two methods for measuring cold detection thresholds in screening for temperature-perception deficits in elderly individuals with type 2 diabetes (T2 diabetes).

METHODS

Cold threshold measurements were performed on seven body regions of participants with diabetes without neuropathy (n = 30; mean age, 70.9 ± 6.5 years) and healthy participants (n = 73; mean age, 68 ± 5 years). Two protocols applying the Levels Method were used: the first used skin temperature as the starting point; the second used 40 °C.

RESULTS

Cold detection thresholds were significantly higher in subjects with diabetes, particularly on the foot. For CDT TSk, values were -2.22 ± 1.91 °C in non-diabetic and -3.27 ± 3.33 °C in diabetic groups (p = 0.023); for CDT 40, values were -9.82 ± 3.5 °C and -12.18 ± 4.5 °C (p = 0.003). However, after adjusting for age, the group effect on cold threshold with skin temperature as baseline disappeared. Sensory screens showed that the Area Under Curve of the method using a 40 °C baseline was 0.69 (p = 0.002).

CONCLUSION

Measuring the cold detection threshold on the foot with a 40 °C baseline is more effective than using skin temperature as a baseline for screening sensory alterations in elderly subjects with type 2 diabetes before neuropathy onset.

SIGNIFICANCE

These findings highlight the importance of selecting the appropriate cold detection threshold method for elderly individuals with type 2 diabetes. The optimal method can facilitate early identification of sensory changes, minimizing complications and improving overall well-being.

Single-cell transcriptome analysis reveals distinct cell populations in dorsal root ganglia and their potential roles in diabetic peripheral neuropathy

Diabetic peripheral neuropathy (DPN) is a common complication associated with diabetes, and can affect quality of life considerably. Dorsal root ganglion (DRG) plays an important role in the development of DPN. However, the relationship between DRG and the pathogenesis of DPN still lacks a thorough exploration. Besides, a more in-depth understanding of the cell type composition of DRG, and the roles of different cell types in mediating DPN are needed. Here we conducted single-cell RNA-seq (scRNA-seq) for DRG tissues isolated from healthy control and DPN rats. Our results demonstrated DRG includes eight cell-type populations (e.g., neurons, satellite glial cells (SGCs), Schwann cells (SCs), endothelial cells, fibroblasts). In the heterogeneity analyses of cells, six neuron sub-types, three SGC sub-types and three SC sub-types were identified, additionally, biological functions related to cell sub-types were further revealed. Cell communication analysis showed dynamic interactions between neurons, SGCs and SCs. We also found that the aberrantly expressed transcripts in sub-types of neurons, SGCs and SCs with DPN were associated with diabetic neuropathic pain, cell apoptosis, oxidative stress, etc. In conclusion, this study provides a systematic perspective of the cellular composition and interactions of DRG tissues, and suggests that neurons, SGCs and SCs play vital roles in the progression of DPN. Our data may provide a valuable resource for future studies regarding the pathophysiological effect of particular cell type in DPN.

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.

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

BACKGROUND

Diabetic foot ulcer is one of the most prevalent, serious, and costly consequences of diabetes, often associated with peripheral neuropathy and peripheral arterial disease. These ulcers contribute to high disability and mortality rates in patients and pose a major challenge to clinical management.

OBJECTIVE

To systematically review the risk prediction models for post-healing recurrence in diabetic foot ulcer (DFU) patients, so as to provide a reference for clinical staff to choose appropriate prediction models.

METHODS

The authors searched five databases (Cochrane Library, PubMed, Web of Science, EMBASE, and Chinese Biomedical Database) from their inception to September 23, 2023, for relevant literature. After data extraction, the quality of the literature was evaluated using the Predictive Model Research Bias Risk and Suitability Assessment tool (PROBAST). Meta-analysis was performed using STATA 17.0 software.

RESULTS

A total of 9 studies involving 5956 patients were included. The recurrence rate after DFU healing ranged from 6.2 % to 41.4 %. Nine studies established 15 risk prediction models, and the area under the curve (AUC) ranged from 0.660 to 0.940, of which 12 models had an AUC≥0.7, indicating good prediction performance. The combined AUC value of the 9 validation models was 0.83 (95 % confidence interval: 0.79-0.88). Hosmer-Lemeshow test was performed for 10 models, external validation for 5 models, and internal validation for 6 models. Meta-analysis showed that 14 predictors, such as age and living alone, could predict post-healing recurrence in DFU patients (p < 0.05).

CONCLUSION

To enhance the quality of these risk prediction models, there is potential for future improvements in terms of follow-up duration, model calibration, and validation processes.

Association between serum uric acid levels and diabetic peripheral neuropathy in type 2 diabetes: a systematic review and meta-analysis

Background

The evidence supporting a connection between elevated serum uric acid (SUA) levels and diabetic peripheral neuropathy (DPN) is controversial. The present study performed a comprehensive evaluation of this correlation by conducting a systematic review and meta-analysis of relevant research.

Method

PubMed, Web of Science (WOS), Embase, and the Cochrane Library were searched for published literature from the establishment of each database to January 8, 2024. In total, 5 cohort studies and 15 cross-sectional studies were included, and 2 researchers independently screened and extracted relevant data. R 4.3.0 was used to evaluate the included literature. The present meta-analysis evaluated the relationship between SUA levels and the risk of DPN in type 2 diabetes (T2DM) by calculating the ratio of means (RoM) and 95% confidence intervals (CIs) using the method reported by JO Friedrich, and it also analyzed continuous outcome measures using standardized mean differences (SMDs) and 95% CIs to compare SUA levels between DPN and non-DPN groups. Funnel plot and Egger's test were used to assess publication bias. Sensitivity analysis was conducted by sequentially removing each study one-by-one.

Results

The meta-analysis included 20 studies, with 12,952 T2DM patients with DPN and 16,246 T2DM patients without DPN. There was a significant correlation between SUA levels and the risk of developing DPN [odds ratio (OR) = 1.23; 95% CI: 1.07-1.41; p = 0.001]. Additionally, individuals with DPN had higher levels of SUA compared to those without DPN (SMD = 0.4; 95% CI: -0.11-0.91; p < 0.01).

Conclusion

T2DM patients with DPN have significantly elevated SUA levels, which correlate with a heightened risk of peripheral neuropathy. Hyperuricemia (HUA) may be a risk indicator for assessing the risk of developing DPN in T2DM patients.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO, identifier CRD42024500373.

Association of blood trihalomethane concentrations with diabetes mellitus in older adults in the US: a cross-sectional study of NHANES 2013-2018

Background

Previous studies have demonstrated that there is a correlation between trihalomethanes and disease progression, such as allergic diseases. As we know, only few studies focused on the relationship between trihalomethanes and metabolic diseases, such as diabetes mellitus.

Objective

The aim of this study was to further explore the associations between blood trihalomethane concentrations and diabetes mellitus in older adults in the US.

Methods

Data were collected from the National Health and Nutrition Examination Study (NHANES) database in the survey cycle during 2013 to 2018, including 2,511 older adults in the US whose blood trihalomethane concentrations were measured, involving chloroform (TCM) and brominated trihalomethanes (Br-THMs). Br-THMs include bromodichloromethane (BDCM), dibromochloromethane (DBCM), and bromoform (TBM). Meanwhile, the concentration of total trihalomethanes (TTHMs) was also measured later. A multivariate logistic regression and restricted cubic spline were used to examine the relationship between blood THMs and diabetes mellitus. Meanwhile, we performed a subgroup analysis, which aims to explore the stability of this relationship in different subgroups. In order to further consider the impact of various disinfection by-products on diabetes, we also used weighted quantile sum (WQS). To explore the correlation in trihalomethanes, we plot a correlation heatmap.

Results

Adjusting for potential confounders, we found that there was a significant negative association between chloroform and diabetes mellitus [Model 1 (adjusted for covariates including age, sex, and race, OR = 0.71; 95% CI: 0.50-1.02; p = 0.068; p for trend = 0.094); Model 2 (adjusted for all covariates, OR = 0.68; 95% CI: 0.48-0.96; p = 0.029; p for trend = 0.061)]. In the bromodichloromethane, we reached a conclusion that is similar to TCM [Model 1 (adjusted for covariates including age, sex, and race, OR = 0.54; 95% CI: 0.35-0.82; p = 0.005; p for trend = 0.002); Model 2 (adjusted for all covariates, OR = 0.54; 95% CI: 0.35-0.82; p = 0.003; p for trend = 0.002)]. Meanwhile, the restricted cubic spline curve also further confirms this result (p overall = 0.0027; p overall< 0.001). Based on the analysis in the subgroups, we found that the value p for interaction in the majority of subgroups is higher than 0.1. Trihalomethanes and diabetes were inversely associated, and in the WQS, chloroform and bromodichloromethane were found to be the major contributors to this relationship. In the correlation analysis, we found that most trihalomethanes have a weak correlation, except for TBM and TCM with a strong correlation.

Conclusion

Our results in this study showed that blood chloroform, bromodichloromethane concentrations, and diabetes mellitus in older adults in the US are negatively correlated, suggesting that chloroform and bromodichloromethane can be protective factors for diabetes.

Motor and sensory impairment in survivors of childhood central nervous system (CNS) tumors in the St. Jude Lifetime Cohort (SJLIFE)

BACKGROUND

Survivors of childhood central nervous system (CNS) tumors can develop motor and sensory impairment from their cancer and treatment history. We estimated the prevalence of motor and sensory impairment in survivors compared with controls through clinical assessment and identified associated treatment exposures and functional, quality of life (QOL), and social outcomes.

METHODS

Survivors of childhood CNS tumors from the St. Jude Lifetime Cohort (n = 378, median [range] age 24.0 [18.0-53.0] years, 43.4% female) ≥5 years from diagnosis and controls (n = 445, median [range] age 34.0 [18.0-70.0] years, 55.7% female) completed in-person evaluation for motor and sensory impairment using the modified Total Neuropathy Score. Impairment was graded by modified Common Terminology Criteria for Adverse Events. Multivariable models estimated associations between grade ≥2 motor/sensory impairment, individual/treatment characteristics, and secondary outcomes (function by Physical Performance Test, fitness by physiologic cost index, QOL by Medical Outcomes Survey Short Form-36 physical/mental summary scores, social attainment).

RESULTS

Grade ≥2 motor or sensory impairment was more prevalent in survivors (24.1%, 95% Confidence Interval [CI] 19.8%-29.4%) than controls (2.9%, CI 1.4-4.5%). Among survivors, in multivariable models, motor impairment was associated with vinca exposure <15 mg/m2 versus none (OR 4.38, CI 1.06-18.08) and etoposide exposure >2036 mg/m2 versus none (OR 12.61, CI 2.19-72.72). Sensory impairment was associated with older age at diagnosis (OR 1.09, CI 1.01-1.16) and craniospinal irradiation versus none (OR 4.39, CI 1.68-11.50). There were lower odds of motor/sensory impairment in survivors treated in the year 2000 or later versus before 1990 (Motor: OR 0.29, CI 0.10-0.84, Sensory: OR 0.35, CI 0.13-0.96). Motor impairment was associated with impaired physical QOL (OR 2.64, CI 1.22-5.72).

CONCLUSIONS

In survivors of childhood CNS tumors, motor and sensory impairment is prevalent by clinical assessment, especially after exposure to etoposide, vinca, or craniospinal radiation. Treating motor impairment may improve survivors' QOL.

Longitudinal artificial intelligence-based deep learning models for diagnosis and prediction of the future occurrence of polyneuropathy in diabetes and prediabetes

OBJECTIVE

The objective of this study was to develop artificial intelligence-based deep learning models and assess their potential utility and accuracy in diagnosing and predicting the future occurrence of diabetic distal sensorimotor polyneuropathy (DSPN) among individuals with type 2 diabetes mellitus (T2DM) and prediabetes.

METHODS

In 394 patients (T2DM=300, Prediabetes=94), we developed a DSPN diagnostic and predictive model using Random Forest (RF)-based variable selection techniques, specifically incorporating the combined capabilities of the Clinical Toronto Neuropathy Score (TCNS) and nerve conduction study (NCS) to identify relevant variables. These important variables were then integrated into a deep learning framework comprising Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. To evaluate temporal predictive efficacy, patients were assessed at enrollment and one-year follow-up.

RESULTS

RF-based variable selection identified key factors for diagnosing DSPN. Numbness scores, sensory test results (vibration), reflexes (knee, ankle), sural nerve attributes (sensory nerve action potential [SNAP] amplitude, nerve conduction velocity [NCV], latency), and peroneal/tibial motor NCV were candidate variables at baseline and over one year. Tibial compound motor action potential amplitudes were used for initial diagnosis, and ulnar SNAP amplitude for subsequent diagnoses. CNNs and LSTMs achieved impressive AUC values of 0.98 for DSPN diagnosis prediction, and 0.93 and 0.89 respectively for predicting the future occurrence of DSPN. RF techniques combined with two deep learning algorithms exhibited outstanding performance in diagnosing and predicting the future occurrence of DSPN. These algorithms have the potential to serve as surrogate measures, aiding clinicians in accurate diagnosis and future prediction of DSPN.

Prevalence of peripheral neuropathy, amputation, and quality of life in patients with diabetes mellitus

Peripheral neuropathy and amputation are common complications of diabetes mellitus (DM) that significantly impact the quality of life of the affected individuals. This study aims to investigate the prevalence of peripheral neuropathy, the level of amputation, and the quality of life in patients with DM. This cross-sectional study was conducted after approval of the synopsis involving 225 diagnosed patients with DM on pre-defined eligibility criteria, selected from public sector OPDs, specialized diabetes centres, and centres manufacturing orthotics and prosthetics. Data were collected through interviews, observations, and the administration of the Michigan Neuropathy Screening Instrument and the Asian Diabetes Quality of Life Questionnaire. The level of amputation was recorded for each participant. Data was entered into SPSS, and results were synthesized. Pearson correlation is applied to find an association between gender and the quality of life of the participants, while P ≤ 0.05 will be considered significant. The prevalence of peripheral neuropathy in a sample of 225, based on a self-administered questionnaire, was (44.4%), and in terms of foot examination was (51.1%). As people progressed in age, the prevalence increased to 20.0% in patients above 60 years and 8.9% in ≤ 35 years of age. The majority of participants (56.0%) have had DM for less than five years. Females were 57.8% of the study population, while 97.8% of participants had type II DM. Below-knee amputation of the right limb was observed in 22(9.8%) of the participants. The QoL was poor in the majority of the participants (96.9%) patients with DM (P = 0.638 and T = -0.471). This cross-sectional study highlights a high prevalence of peripheral neuropathy and amputation and poor QoL in patients with diabetic mellitus.

Acupuncture for the treatment of diabetic peripheral neuropathy in the elderly: a systematic review and meta-analysis

Background

Diabetic peripheral neuropathy (DPN) is one of the most common complications of diabetes mellitus, often causing pain or numbness in the patient's limbs and even leading to amputation and death. Elderly patients with DPN usually have higher morbidity and more severe results. Acupuncture has been widely used as an effective treatment for DPN in China. However, the efficacy of acupuncture in the treatment of DPN remains unclear. In this review, we aimed to explore the impact of acupuncture in alleviating symptoms of DPN.

Method and analysis

Six databases were searched from inception to October 2023. We searched Medline, EMBASE, Cochrane Central Register of Controlled Trials (CENTRAL), and three Chinese databases, namely China National Knowledge Infrastructure (CNKI), SinoMed, and Wanfang. All randomized controlled trials related to the effect of acupuncture on DPN will be included. There was no restriction in language or publication year. The primary outcome is the response rate. The secondary outcomes are the Toronto clinical scoring system (TCSS), nerve conduction velocities (NCVs), and blood glucose before and after the treatment. Two researchers will be responsible for the selection of study, data extraction, and assessment of study quality independently. RevMan V5.1.0 software will be used to assess the risk of bias and generate data.

Results

We searched 4518 studies, among which 9 RCTs were considered eligible. Overall, acupuncture treatment had a higher response rate than controls (relative risk (RR), -2.87 [95% confidence interval (CI), -5.27 to -0.48], p = 0.02) and significantly alleviated the symptoms of DPN patients, reduced their blood glucose levels, and improved their NCVs compared to the control group. This study will provide a high-quality synthesis of current available evidence for the clinical treatment of DPN with this therapy.

Conclusion

The results suggested that acupuncture might be effective in improving symptoms of DPN in elderly patients. Owing to the overall low quality of the literature included, we need more large-sample, high-quality, and low-bias studies to prove it.

Quercetin Alleviates Insulin Resistance and Repairs Intestinal Barrier in db/db Mice by Modulating Gut Microbiota

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease which seriously affects public health. Gut microbiota remains a dynamic balance state in healthy individuals, and its disorder may affect health status and even results in metabolic diseases. Quercetin, a natural flavonoid, has been shown to have biological activities that can be used in the prevention and treatment of metabolic diseases. This study aimed to explore the mechanism of quercetin in alleviating T2DM based on gut microbiota. db/db mice were adopted as the model for T2DM in this study. After 10 weeks of administration, quercetin could significantly decrease the levels of body weight, fasting blood glucose (FBG), serum insulin (INS), the homeostasis model assessment of insulin resistance (HOMA-IR), monocyte chemoattractant protein-1 (MCP-1), D-lactic acid (D-LA), and lipopolysaccharide (LPS) in db/db mice. 16S rRNA gene sequencing and untargeted metabolomics analysis were performed to compare the differences of gut microbiota and metabolites among the groups. The results demonstrated that quercetin decreased the abundance of Proteobacteria, Bacteroides, Escherichia-Shigella and Escherichia_coli. Moreover, metabolomics analysis showed that the levels of L-Dopa and S-Adenosyl-L-methionine (SAM) were significantly increased, but 3-Methoxytyramine (3-MET), L-Aspartic acid, L-Glutamic acid, and Androstenedione were significantly decreased under quercetin intervention. Taken together, quercetin could exert its hypoglycemic effect, alleviate insulin resistance, repair the intestinal barrier, remodel the intestinal microbiota, and alter the metabolites of db/db mice.

Serum Spexin Level Is Negatively Associated With Peripheral Neuropathy and Sensory Pain in Type 2 Diabetes

Background: Spexin is a novel peptide hormone and has shown antinociceptive effects in experimental mice. This study is aimed at evaluating the association of serum spexin level with diabetic peripheral neuropathy (DPN) and related pain in a Chinese population. Methods: We enrolled 167 type 2 diabetes mellitus (T2DM) including 56 patients without DPN (non-DPN), 67 painless DPN, and 44 painful DPN. Serum spexin was measured using ELISA. Logistic regression models were performed to analyze the independent effects of spexin on prevalence of DPN and painful DPN. In streptozotocin (STZ)-induced diabetic mice, mechanical pain threshold was measured using electronic von Frey aesthesiometer. Human peripheral blood mononuclear cells (PBMCs) were isolated and further stimulated with lipopolysaccharide without or with spexin. The gene expression was assayed by qPCR. Results: Compared with non-DPN, serum spexin level decreased in painless DPN and further decreased in painful DPN. The odds of DPN was associated with low spexin level in T2DM, which was similar by age, sex, BMI, and diabetes duration, but attenuated in smokers. The odds of having pain was associated with decreased spexin level in DPN, which was similar by age, sex, smoking status, and diabetes duration, but attenuated in normal weight. Furthermore, we observed that mechanical pain threshold increased in spexin-treated diabetic mice. We also found that lipopolysaccharide treatment increased the mRNA level of TNF-α, IL-6, and MCP-1 in human PBMCs, while spexin treatment prevented this increase. Conclusions: These results suggested that spexin might serve as a protective factor for diabetes against neuropathology and pain-related pathogenesis.

Complications of Percutaneous Tendo-Achilles Lengthening for Treatment and Prevention of Diabetic Foot Ulcers: A Systematic Review

Percutaneous Achilles tendon lengthening is an effective surgical procedure to treat and prevent forefoot and midfoot ulcerations in patients with diabetes. Patients with diabetes are prone to plantar ulcerations due to a combination of factors, such as peripheral neuropathy, decreased tendon elasticity, peripheral vascular disease, and hyperglycemia. Complications such as re-ulceration and transfer lesion to the heel, associated with a calcaneal gait secondary to over-lengthening, are possible with percutaneous Achilles tendon lengthening. Although percutaneous Achilles tendon lengthening is well accepted, the overall incidence of complication has not been well described. A systematic review of the reported data was performed to determine the incidence of complication for percutaneous tendo-Achilles lengthening when used for the treatment and prevention of diabetic plantar ulcerations. Nine studies involving 490 percutaneous lengthening procedures met the inclusion criteria. The overall complication rate was 27.8% (8% with transfer heel ulcerations). Given the high rate of complications associated with a percutaneous Achilles tendon lengthening, careful patient selection and consideration of these risks should be considered prior to proceeding with this procedure. Additional prospective comparative analyses with standardization of surgical technique, degrees of lengthening achieved, and post-operative weightbearing and immobilization modalities are needed to decrease incidence of complication and achieve higher healing rates.