CD4+ T-cell activation of bone marrow causes bone fragility and insulin resistance in type 2 diabetes

Potential regulation of artesunate on bone metabolism through suppressing inflammatory infiltration in type 2 diabetes mellitus

OBJECTIVE

Osteoimmunology is an emerging field that explores the interplay between bone and the immune system. The immune system plays a critical role in the pathogenesis of diabetes and significantly affects bone homeostasis. Artesunate, a first-line treatment for malaria, is known for its low toxicity and multifunctional properties. Increasing evidence suggests that artesunate possesses anti-inflammatory, immunoregulatory, and osteogenic effects. This review aims to explore the relationship between immune regulation and bone metabolism in type 2 diabetes (T2DM) and to investigate the potential therapeutic application of artesunate.

METHODS

This review systematically examines literature from PubMed/Medline, Elsevier, Web of Science, Embase, the International Diabetes Federation, and other relevant databases.

RESULTS

This review synthesizes evidence from multiple sources to delineate the relationship between T lymphocytes and T2DM, the regulation of T lymphocyte subsets in bone metabolism, and the effects of artesunate on both T lymphocytes and bone metabolism. Recent studies suggest a bidirectional regulatory relationship between T2DM and T lymphocytes (CD4+ T and CD8+ T) during the onset and progression of the disease, with inflammatory and anti-inflammatory cytokines serving as key mediators. T lymphocyte subsets and their cytokines play a pivotal role in regulating osteogenesis and osteoclastogenesis in pathological conditions. Furthermore, artesunate has shown promise in modulating inflammatory infiltration and bone metabolism.

CONCLUSION

The accumulated evidence indicates that artesunate exerts regulatory effects on bone metabolism in T2DM by influencing T lymphocyte differentiation.

Association between the Triglyceride-glucose index and fragility fractures among US adults: insights from NHANES

BACKGROUND

The triglyceride-glucose (TyG) index, a recognized marker for insulin resistance, holds potential implications for skeletal health. However, its relationship with fragility fractures remains uncertain. We aimed to elucidate the association between the TyG index and fragility fractures in the general US population.

METHODS

Cross-sectional data of 25,082 participants were obtained from the National Health and Nutrition Examination Survey. The association between the TyG index and fragility fractures was investigated using univariate and weighted multivariate logistic regression as well as restricted cubic spline (RCS) regression models. The least absolute shrinkage and selection operator regression with ten-fold cross-validation was employed to identify key variables, leading to the development of a nomogram model. Calibration and receiver operating characteristic curves were utilized to evaluate the model's validity.

RESULTS

The overall prevalence of fragility fractures among participants was 1.10%. After adjusting for confounders, the TyG index exhibited a robust association with the risk of fragility fractures (odds ratio, 1.94; 95% confidence interval, 1.31-2.88; P < 0.001). RCS regression demonstrated a positive linear relationship between the TyG index and fragility fractures. The predictive nomogram, incorporating the TyG index and other clinical factors, demonstrated favorable predictive performance (consistency index = 0.901).

CONCLUSIONS

Elevated TyG index levels were significantly correlated with the risk of fragility fractures in the general US population. These findings suggest that the TyG index may serve as a predictive marker for fragility fractures, underscoring the importance of early intervention and improved fracture risk assessment tools in clinical practice.

Unravelling the pandemic: impaired bone metabolism and risk of SARS-CoV-2 infection

INTRODUCTION

While the impact of COVID-19 on bone metabolism has been extensively studied, the inverse relationship remains less understood. This study investigates whether impaired bone metabolism is associated with an increased risk of COVID-19 infection.

METHODS

We conducted a nested case-control study within a population-based cohort, incorporating Kaplan-Meier analysis (KMA) to assess time to infection (TTI) differences. Propensity score matching (1:2) was performed and validated through standardized mean differences (<0.10), variance ratio (=1), and McFadden's pseudo-R2 (=0), ensuring balanced covariates. Bone status was evaluated using a composite index (AOMI), which included five components: P1NP and CTX (bone turnover markers), total hip bone mineral density (BMD-TH), trabecular bone score (TBS), and integral volumetric BMD (IvBMD). Inflammation and insulin resistance (IR) were assessed by albumin-to-globulin ratio (AGR <1.50) and the TG/HDL ratio (>2.50 in women and >2.80 in men), respectively.

RESULTS

We analysed 294 COVID-19 cases and 528 controls. AOMI+ individuals had a higher prevalence of COVID-19 (41.5% vs. 33.2%; p = 0.031), an adverse lipid pattern ("A" profile: high ApoB, LDL and TC) and pronounced bone changes (higher P1NP and CTX, lower BMD-TH, TBS, and IvBMD). AOMI - individuals were more likely to have metabolic syndrome, displayed a different lipid profile ("B" profile: elevated TG, AIP, and TG/HDL ratio), fewer bone alterations, and lower COVID-19 prevalence. TG/HDL ratio was 1.66 ± 1 in "A" profile, while it was 2.85 ± 1.4 in "B" profile individuals (p = 0.0001). Age acted as an effect modifier, and lowest tercile significantly increased COVID-19 risk associated with AOMI+ [Mantel-Haenszel OR = 1.42 (95%CI: 1.08-1.9); p = 0.022]. KMA identified AOMI+ men and individuals of both sexes in lowest age tercile, as groups with shorter TTI: These younger individuals had high CTX (women), low TBS (men), and high ApoB (both). In multivariable analyses, plasma CTX levels negatively correlated with TTI (adjusted β= -0.325; p = 0.0001). AOMI+ status was associated with increased COVID-19 risk after controlling for confounders, including IR (adjusted OR = 1.51; 95%CI: 1.04-2.10; p = 0.027), although this association weakened when adjusting for AGR (95%CI: 0.99-2.28; p = 0.055). ANCOVA-estimated adjusted TBS means were lower in COVID-19 cases compared to controls (1.259 vs. 1.294; p = 0.013).

CONCLUSIONS

Impaired bone metabolism was found to be associated with increased COVID-19 risk, in a relationship potentially mediated by underlying inflammation. Elevated osteoclastic activity and a defined lipid profile with high ApoB, TC, LDL levels, played a crucial role in the results. Bone quality parameters more accurately captured COVID-19-related bone changes than BMD.

Emerging role of adaptive immunity in diabetes-induced cognitive impairment: from the periphery to the brain

Diabetic cognitive impairment (DCI) is a central nervous system complication induced by peripheral metabolic dysfunction of diabetes mellitus. Cumulative studies have shown that neuro-immune crosstalk is involved in the pathological progression of DCI. However, current studies mostly focus on the interaction between innate immunity cells and neurons, while ignoring the role of adaptive immunity cells in DCI. Notably, recent studies have revealed adaptive immune cells are involved in cognitive development and the progression of neurodegenerative diseases. Equally important, accumulated past studies have also shown that diabetic patients experience imbalanced peripheral adaptive immune homeostasis and disrupted transmission of adaptive immune cells to the central system. Therefore, this review first updated the cognitive mechanism of adaptive immune regulation, and then summarized the contribution of adaptive immunity to DCI from the aspects of peripheral adaptive immune homeostasis, transmission pathways, and brain tissue infiltration. Furthermore, we also summarized the potential of anti-diabetic drugs to regulate adaptive immunity, and looked forward to the potential value of regulatory adaptive immunity in the prevention and treatment of DCI, to provide a new strategy for the prevention and treatment of DCI.

Cellular crosstalk in the bone marrow niche

The bone marrow niche is a special microenvironment that comprises elements, including hematopoietic stem cells, osteoblasts, and endothelial cells, and helps maintain their characteristic functions. Here, we elaborate on the crosstalk between various cellular components, hematopoietic stem cells, and other cells in the bone marrow niche. We further explain the mechanism of preserving equilibrium in the bone marrow niche, which is crucial for the directional regulation of bone reconstruction and repair. Additionally, we elucidate the intercommunication among osteocytes, the regulation of osteoblast maturation and activation by lymphocytes, the deficiency of megakaryocytes that can markedly impair osteoblast formation, and the mechanism of interaction between macrophages and mesenchymal stem cells in the bone marrow niche. Finally, we discussed the new immunotherapies for bone tumors in the BM niche. In this review, we aimed to provide a candid overview of the crosstalk among bone marrow niche cells and to highlight new concepts underlying the unknown mechanisms of hematopoiesis and bone reconstruction. Thus, this review may provide a more comprehensive understanding of the role of these niche cells in improving hematopoietic function and help identify their therapeutic potential for different diseases in the future.

Identification of endocrine-disrupting chemicals targeting key OP-associated genes via bioinformatics and machine learning

Osteoporosis (OP), a metabolic disorder predominantly impacting postmenopausal women, has seen considerable progress in diagnosis and treatment over the past few decades. However, the intricate interplay between genetic factors and endocrine disruptors (EDCs) in the pathogenesis of OP remains inadequately elucidated. The objective of this research is to examine the environmental pollutants and their regulatory mechanisms that could potentially influence the pathogenesis of OP, in order to establish a theoretical foundation for the targeted prevention and medical management of individuals with OP. Utilizing CTD and GEO datasets, network toxicology and bioinformatics analyses were conducted to identify target genes from a pool of 98 co-associated genes. Subsequently, a novel prediction model was developed employing a multiple machine learning algorithm. The efficacy of the model was validated based on the area under the receiver operating characteristic curve. Finally, real-time quantitative polymerase chain reaction (qRT-PCR) was used to confirm the expression levels of key genes in clinical samples. We have identified significant genes (FOXO3 and LUM) associated with OP and conducted Gene Ontology, Kyoto Encyclopedia of Genes and Genomes enrichment analysis, immune infiltration analysis, and molecular docking analysis. Through the analysis of these key genes, we have identified 13 EDCs that have the potential to impact OP. Several endocrine disruptors, such as Dexamethasone, Perfluorononanoic acid, genistein, cadmium, and bisphenol A, have been identified as notable environmental pollutants that impact the OP. Molecular docking analysis revealed significant binding affinity of major EDCs to the post-translational protein structures of key genes. This study demonstrates that EDCs, including dexamethasone, perfluorononanoic acid, genistein, cadmium, and bisphenol A, can be identified as important environmental pollutants affecting OP, and that FOXO3 and LUM have the potential to be diagnostic markers for OP. These results elucidate a novel association between EDCs regulated by key genes and the onset of OP.

Lipocalin-2 as a fundamental protein in type 2 diabetes and periodontitis in mice

BACKGROUND

Lipocalin-2 (LCN-2) is an osteokine that suppresses appetite, stimulates insulin secretion, regulates bone remodeling, and is induced by proinflammatory cytokines. The aim of this work was to investigate the participation of LCN-2 in periodontitis associated with type 2 diabetes (T2D) by evaluating alveolar bone loss, glycemic control, inflammation, and femur fragility.

METHODS

A murine model of periodontitis with T2D and elevated LCN-2 concentration was used. Functional LCN-2 inhibition was achieved using an anti-LCN-2 polyclonal antibody, and isotype immunoglobulin G was used as a control. The alveolar bone and femur were evaluated by micro-CT. Glucose metabolism was determined. Tumor necrosis factor (TNF-α) and receptor activator of nuclear factor kappa-B ligand (RANKL) levels in alveolar bone lysates were quantified using ELISA, and serum cytokines were quantified using flow cytometry. A three-point bending test was performed in the femur, and RANKL levels were measured in femur lysates using ELISA.

RESULTS

Functional inhibition of LCN-2 in T2D-periodontitis mice decreased alveolar bone loss in buccal and palatal surfaces and preserved the microarchitecture of the remaining bone, decreased TNF-α and RANKL in alveolar bone, reduced hyperglycemia, glucose intolerance, and insulin resistance, and increased insulin production through improving the functionality of pancreatic β cells. Furthermore, this inhibition increased serum free-glycerol levels, decreased serum interleukin (IL)-6, increased serum IL-4, and reduced femur fragility and RANKL expression in the femur.

CONCLUSIONS

LCN-2 participates in periodontitis associated with T2D. Inhibiting its function in mice with T2D and periodontitis improves pancreatic β-cell function, and glucose metabolism and decreases inflammatory cytokines and bone-RANKL levels, which results in the preservation of femoral and alveolar bone microarchitecture.

PLAIN LANGUAGE SUMMARY

In this study, we explored the role of a bone protein known as lipocalin-2 (LCN-2) in the connection between periodontitis and type 2 diabetes (T2D). Periodontitis is a destructive gum and alveolar bone disease. LCN-2 levels are increased in both T2D and periodontitis. Using a mouse model of T2D with periodontitis, we examined how blocking LCN-2 function affected various aspects of these two diseases. We found that this inhibition led to significant improvements. First, it reduced alveolar bone loss and preserved bone structure by decreasing local inflammation and bone resorption. Second, it improved glucose and lipid metabolism, leading to better blood-sugar control and decreased insulin resistance. Blocking the functions of LCN-2 also decreased systemic inflammation throughout the body and strengthened bone integrity. Overall, our results suggest that LCN-2 plays a crucial role in the periodontitis associated with T2D. By inhibiting LCN-2 function, we were able to improve pancreatic function, improve glucose metabolism, reduce inflammation, and enhance bone health. Targeting LCN-2 could be a promising strategy for the harmful effects of T2D and periodontitis.

Exploring the Interplay between Vitamin D, Insulin Resistance, Obesity and Skeletal Health

Vitamin D (ViD), plays an important role in calcium absorption and bone mineralization, is associated with bone mineral density. Severe deficiency in ViD has long been linked to conditions such as rickets in children and osteomalacia in adults, revealing its substantial role in skeletal health. Additionally, investigations show an existing interconnection between ViD and insulin resistance (Ins-R), especially in patients with type 2 diabetes mellitus (T2DM). Obesity, in conjunction with Ins-R, may augment the risk of osteoporosis and deterioration of skeletal health. This review aims to examine recent studies on the interplay between ViD, Ins-R, obesity, and their impact on skeletal health, to offer insights into potential therapeutic strategies. Cochrane Library, Google Scholar, and Pubmed were searched to investigate relevant studies until December 2023. Current research demonstrates ViD's impact on pancreatic β-cell function, systemic inflammation, and insulin action regulation. Our findings highlight an intricate association between ViD, Ins-R, obesity, and skeletal health, providing a perspective for the prevention and/or treatment of skeletal disorders in patients with obesity, Ins-R, and T2DM.

Artesunate-loaded thermosensitive chitosan hydrogel promotes osteogenesis of maxillary tooth extraction through regulating T lymphocytes in type 2 diabetic rats

BACKGROUND

Type 2 diabetes mellitus (T2DM) causes severe bone loss after tooth extraction as a hyperglycemic environment causes aberrant bone homeostasis. Artesunate (ART) is known to possess anti-inflammation and osteogenic properties. However, its osteogenesis property in alveolar bone remains unclear. This study aimed to explore the osteogenic and immunoregulatory effects of artesunate-loaded thermosensitive chitosan hydrogel (ART-loaded TCH) on maxilla tooth extraction in T2DM rats.

METHODS

T2DM rats were induced by a high-fat diet and streptozotocin. Different concentrations of ART-loaded TCH were applied in tooth extraction sockets. Bone loss and the expression of osteogenic regulatory factors (OPG, ALP, RANK) were evaluated. The immunoregulatory effects of ART-loaded TCH were observed through detecting the infiltration of T lymphocytes and their cytokines. The underlying mechanisms were explored.

RESULTS

Results showed that the 150 mg/ml ART-loaded TCH group significantly ameliorated maxilla bone height and bone mineral density when compared with the T2DM group (p < 0.05). It also improved the expression of OPG, ALP, and RANK. Although the alteration of CD4+ T, CD8+ T, and CD4+:CD8+ T ratio has no significant difference among groups, the release of Th1 and Th2 in the 150 mg/ml ART-loaded TCH group has been significantly regulated than in the T2DM group (p < 0.05). Besides, ART-loaded TCH treatment inhibited the expression of p38 MAPK and ERK1 in T2DM maxilla.

CONCLUSIONS

Therefore, the results indicated that 150 mg/ml ART-loaded TCH could be an effective method to prevent bone loss in T2DM tooth extraction rats by modulating the immunoregulation of Th1 and Th2 and the MAPK signaling pathway.

Identification of potential pathogenic genes related to osteoporosis and osteoarthritis

BACKGROUND

Osteoarthritis (OA) and osteoporosis (OS) are the most common orthopedic diseases.

OBJECTIVE

To identify important genes as biomarkers for the pathogenesis of OA and OS.

METHODS

Microarray data for OA and OS were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) between the OA and healthy control groups and between the OS and healthy control groups were identified using the Limma software package. Overlapping hub DEGs were selected using MCC, MNC, DEGREE, and EPC. Weighted gene co-expression network analysis (WGCNA) was used to mine OA- and OS-related modules. Shared hub DEGs were identified, human microRNA disease database was used to screen microRNAs associated with OA and OS, and an miRNA-target gene network was constructed. Finally, the expression of shared hub DEGs was evaluated.

RESULTS

A total of 104 overlapping DEGs were identified in both the OA and OS groups, which were mainly related to inflammatory biological processes, such as the Akt and TNF signaling pathways Forty-six hub DEGs were identified using MCC, MNC, DEGREE, and EPC modules using different algorithms. Seven modules with 392 genes that highly correlated with disease were identified in the WGCNA. Furthermore, 10 shared hub DEGs were identified between the OA and OS groups, including OGN, FAP, COL6A3, THBS4, IGFBP2, LRRC15, DDR2, RND3, EFNB2, and CD48. A network consisting of 8 shared hub DEGs and 55 miRNAs was constructed. Furthermore, CD48 was significantly upregulated in the OA and OS groups, whereas EFNB2, DR2, COL6A3, and RND3 were significantly downregulated in OA and OS. Other hub DEGs were significantly upregulated in OA and downregulated in OS.

CONCLUSIONS

The ten genes may be promising biomarkers for modulating the development of both OA and OS.

mTOR Signaling Pathway in Bone Diseases Associated with Hyperglycemia

The interplay between bone and glucose metabolism has highlighted hyperglycemia as a potential risk factor for bone diseases. With the increasing prevalence of diabetes mellitus worldwide and its subsequent socioeconomic burden, there is a pressing need to develop a better understanding of the molecular mechanisms involved in hyperglycemia-mediated bone metabolism. The mammalian target of rapamycin (mTOR) is a serine/threonine protein kinase that senses extracellular and intracellular signals to regulate numerous biological processes, including cell growth, proliferation, and differentiation. As mounting evidence suggests the involvement of mTOR in diabetic bone disease, we provide a comprehensive review of its effects on bone diseases associated with hyperglycemia. This review summarizes key findings from basic and clinical studies regarding mTOR's roles in regulating bone formation, bone resorption, inflammatory responses, and bone vascularity in hyperglycemia. It also provides valuable insights into future research directions aimed at developing mTOR-targeted therapies for combating diabetic bone diseases.

Macrovascular and microvascular type 2 diabetes complications are interrelated in a mouse model

AIM

Evaluate the development of multiple complications, their interactions, and common mechanisms in the same individual with T2D.

MATERIAL AND METHODS

4-week-old male C57BL/6J mice were divided into: control (n = 6) and T2D (n = 6). T2D was induced through a high-carbohydrate-diet and low doses of streptozotocin. T2D was validated by metabolic parameters. Diabetic neuropathy was evaluated by mechanical and thermal sensitivity tests. We performed a histopathological analysis of the heart, kidney, liver, and parotid salivary glands and changes in bone microarchitecture by μCT. We calculated the relative risk (RR), odd ratios (OR) and Pearson correlation coefficients between the different complications and metabolic features.

RESULTS

T2D mice have cardiomyopathy, neuropathy, nephropathy, liver steatosis and fibrosis, structural damage in parotid salivary glands, and bone porosity. RR analysis shows that all complications are interrelated by hyperglycaemia, insulin resistance, obesity, and systemic inflammation.

CONCLUSIONS

T2D mice develop multiple complications simultaneously, which are related to each other, and this is associated with metabolic alterations. Our findings open up new approaches for the study and new therapeutic approaches of the pathophysiology of T2D and its complications.

Identification and Validation of Immune-Related Genes Diagnostic for Progression of Atherosclerosis and Diabetes

Background

Atherosclerosis and type 2 diabetes mellitus contribute to a large part of cardiovascular events, but the underlying mechanism remains unclear. In this study, we focused on identifying the linking genes of the diagnostic biomarkers and effective therapeutic targets associated with these two diseases.

Methods

The transcriptomic datasets of atherosclerosis and type 2 diabetes mellitus were obtained from the GEO database. Differentially expressed genes analysis was performed by R studio software, and differential analysis including functional enrichment, therapeutic small molecular agents prediction, and protein-protein interaction analysis were applied to the common shared differentially expressed genes. Hub genes were identified and further validated using an independent dataset and clinical samples. Furthermore, we measured the expression correlations, immune cell infiltration, and diagnostic capability of the three key genes.

Results

We screened out 28 up-regulated and six down-regulated common shared differentially expressed genes. Functional enrichment analysis showed that cytokines and immune activation were involved in the development of these two diseases. Six small molecules with the highest absolute enrichment value were identified. Three critical genes (CD4, PLEK, and THY1) were further validated both in validation sets and clinical samples. The gene correlation analysis showed that CD4 was strongly positively correlated with PLEK, and ROC curves confirmed the good discriminatory capacity of CD4 and PLEK in two diseases.

We have established the co-expression network between atherosclerosis lesions progressions and type 2 diabetes mellitus, and identified CD4 and PLEK as key genes in the two diseases, which may facilitate both development of diagnosis and therapeutic strategies.

Aerobic training improves bone fragility by reducing the inflammatory microenvironment in bone tissue in type 2 diabetes

Aerobic training (AT) is indicated in type 2 diabetes mellitus (T2DM) to control hyperglycaemia and inflammation. AT improves bone microarchitecture and resistance to fracture. The intensity of AT and the mechanisms that lead to the improvement in bone quality are still unknown. Using a mouse model of T2DM, we evaluated the effects of two intensities of forced AT. We divided mice into: sedentary (SED), T2DM-SED, low runners (LOW), T2DM-LOW, high runners (HIGH) and T2DM-HIGH. The AT for low was 8 m/minute (m/min); 5° slope or high 18 m/min; 15° slope for 2 months. We measured metabolic parameters, the serum cytokines concentration, lipocalin-2 (LCN-2) and adiponectin; and the tibial concentrations of LCN-2, tumour necrosis factor alpha (TNF-α) and protein carbonylation (CO). We evaluated femur morphometry and biomechanical properties. We performed multiple correlation analysis. The T2DM-LOW versus T2DM-SED group, shown an increase of interleukin (IL)-10 (417 ± 90 vs 102 ± 25 pg/mL) and improved trabecular bone (BV/TV: 31.8 ± 2.3 vs 19.25 ± 1.4%; Tb.Sp.: 1.62 ± 0.02 vs 2.0 ± 0.07 mm), by a decrease bone CO (3.4 ± 0.1 vs 6.0 ± 0.5 nmol/mg), bone TNF-α (84 ± 4 vs 239 ± 13 pg/mL) and LCN-2 (2887 ± 23 vs 3418 ± 105 pg/mL). The T2DM-HIGH versus T2DM-SED group showed a greater hypoglycaemic effect (228 ± 10 vs 408 ± 5 mg/dL), with improved cortical bone density (0.26 ± 0.012 vs 0.21 ± 0.007 mm) and fracture resistance (102 ± 8 vs 78 ± 5 MPa), by a reduction of bone TNF-α (77 ± 34 vs 239 ± 13 pg/mL); LCN-2 (2768 ± 20 vs 3418 ± 105 pg/mL) and CO (4.8 ± 0.5 vs 6.0 ± 0.5 nmol/mg). In conclusion, AT improves bone morphometry and biomechanical properties by reducing the bone inflammatory microenvironment.

Moderate intensity aerobic training reduces the signs of peripheral sensitization in a mouse model of type 2 diabetes mellitus

Type 2 diabetes mellitus (T2DM) is a global health problem for many reasons including the comorbidities, such as diabetic neuropathy (DPN), which is the most common. It has been suggested that aerobic training can improve metabolic health in individuals with T2DM. Still, the effect of aerobic training on DPN signs and its relationship with serum levels of tumor necrosis tumor alpha (TNF-α), an essential molecule in T2DM development, is unknown. We evaluated the effect of two intensities of aerobic training in adult male C57BL/6 mice divided into six groups: sedentary control (CTRL), control with low-intensity training (CTRL-LI), control with moderate-intensity training (CTRL-MI), T2DM sedentary (T2DM), T2DM with low-intensity training (T2DM-LI), and T2DM with moderate-intensity training (T2DM-MI). We induced the T2DM model by combining a hypercaloric diet and low doses of streptozotocin. We measured serum TNF-α levels and correlated them with peripheral sensitization and the cardinal signs of T2DM in mice. Moderate intensity aerobic training decreased the symptoms of DPN and improved metabolic health in T2DM. Interestingly, decreased TNF-α serum levels correlated with reduced peripheral thermal sensitivity and mechanical sensitivity by aerobic training. Moderate intensity aerobic training counteracts the development and symptoms of DPN and improve metabolic health in T2DM. Decreased TNF-α correlates with reduced peripheral thermal sensitivity and mechanical sensitivity by aerobic training.