Diabetic Peripheral Neuropathy （DPN） is one of the most common and harmful complications of type 2 diabetes. DPN's pathogenesis include high blood sugar-induced oxidative stress， inflammation， and mitochondrial dysfunction. These factors are combined to damage nerve fibers， leading to sensory issues， pain， and numbness. Through a coordinated effect， these factors trigger nerve fiber damage and lead to sensory abnormalities， pain and numbness in limbs， and other symptoms， seriously restricting patients' activities of daily living and mobility. Recent research highlights that cellular senescence plays a critical role in DPN. Cellular senescence is manifested by the loss of cell proliferation ability， and further aggravates nerve damage via oxidative stress， mitochondrial dysfunction， autophagy impairment， inflammatory reaction， and other mechanisms， accelerating DPN occurrence and progression. In terms of medical treatment， current methods focus on blood sugar control， pain relief medicine， and microcirculation improvement， while no therapy has been developed based on cellular senescence. In contrast， traditional Chinese medicine （TCM） shows a unique advantage in DPN prevention and treatment via cellular senescence modulation. TCM emphasizes a holistic approach， as well as syndrome differentiation and treatment， effective in anti-aging and nerve damage repair. Recent studies show that TCM active ingredients， including puerarin， ginsenosides， and berberine， can reduce inflammation， oxidative stress， and apoptosis via signaling pathway regulation， thereby slowing cellular senescence to alleviate nerve damage. Furthermore， TCM compounds such as Buyang Huanwutang， Taohong Siwutang， and Huangqi Guizhi Wuwutang exert synergistic effects on cellular senescence-related pathways to improve nerve health and reduce DPN clinical symptoms. Therefore， this paper reviews the literature related to the interaction between cellular senescence and DPN from the perspective of cellular senescence， summarizing the mechanism of DPN and TCM intervention strategies.

Implementation Science is an interdisciplinary field dedicated to systematically studying how to effectively translate evidence-based research findings into practical application and implementation. In the health-related context, it focuses on enhancing the efficiency and quality of healthcare services, thereby facilitating the transition from scientific evidence to real-world practice. This article elaborates on Theories, Models, and Frameworks (TMF) within health-related Implementation Science, clarifying their basic concepts and classifications, and discussing their roles in guiding implementation processes. Furthermore, it reviews and prospects current research from three aspects: the constituent elements of TMF, their practical applications, and future directions. Five representative frameworks are emphasized, including the Consolidated Framework for Implementation Research (CFIR), the Practical Robust Implementation and Sustainability Model (PRISM), the Exploration, Preparation, Implementation, Sustainment (EPIS)framework, the Behavior Change Wheel (BCW), and the Normalization Process Theory (NPT). Additionally, resources such as the Dissemination & Implementation Models Webtool and the T-CaST tool are introduced to assist researchers in selecting appropriate TMFs based on project-specific needs.

Acute lung injury (ALI) has been a kind of acute and severe disease that is mainly characterized by systemic uncontrolled inflammatory response to the production of huge amounts of reactive oxygen species (ROS) in the lung tissue. Given the critical role of ROS in ALI, a Fe₃O₄ loaded bovine serum albumin (BSA) nanocluster (BF) was developed to act as a nanomedicine for the treatment of ALI. Combining with NIR irradiation, it exhibited excellent ROS scavenging capacity. Significantly, it also displayed the excellent antioxidant and anti-inflammatory functions for lipopolysaccharides (LPS) induced macrophages (RAW264.7), and Sprague Dawley rats via lowering intracellular ROS levels, reducing inflammatory factors expression levels, inducing macrophage M2 polarization, inhibiting NF-κB signaling pathway, increasing CD4⁺/CD8⁺ T cell ratios, as well as upregulating HSP70 and CD31 expression levels to reprogram redox homeostasis, reduce systemic inflammation, activate immunoregulation, and accelerate lung tissue repair, finally achieving the synergistic enhancement of ALI immunotherapy. It finally provides an effective therapeutic strategy of BF + NIR for the management of inflammation related diseases.

Objective:To explore the role and molecular mechanisms of S100A6 protein in neonatal meningitis caused by Streptococcus agalactiae. Methods:Human brain microvascular endothelial cells (HBMECs) were used as an in vitro experimental model, and siRNA was employed to construct S100A6 gene knockdown HBMECs strain. The S100A6 gene overexpression cell line was established by lentiviral transfection method. Western blot was used to detect the expression level of S100A6 protein in HBMECs after Streptococcus agalactiae infection, and the change in intracellular inflammatory cytokine protein levels after S100A6 gene knockdown or overexpression. A neonatal bacterial meningitis model was established by injecting Streptococcus agalactiae suspension into the cisterna magna of neonatal Sprague-Dawley (SD) rats. HE staining was used to observe pathological changes in brain tissue; immunohistochemistry was used to detect the expression and distribution of S100A6 protein in brain tissue; Western blot and ELISA were used to measure S100A6 protein levels in cerebrospinal fluid (CSF). Results:Compared with the control group, the intracellular S100A6 protein level in HBMECs increased significantly following Streptococcus cgalactiae infection. After S100A6 gene knockdown, the invasion rate of Streptococcus agalactiae into the HBMECs was significantly reduced ( P<0.01), while intracellular TNF-α and IL-6 protein levels were elevated markedly ( P<0.01). In contrast, overexpression of S100A6 gene increased the invasion rate ( P<0.01) and notably decreased TNF-α and IL-6 protein levels ( P<0.001). In the neonatal SD rat bacterial meningitis model, HE staining revealed substantial neutrophil infiltration in brain tissue after Streptococcus agalactiae infection. Immunohistochemistry showed extensive deposition of S100A6 protein around the meninges, and significant expression of S100A6 protein was also detected in CSF. Conclusions:S100A6 protein is crucial in mediating neonatal meningitis caused by Streptococcus agalactiae infection. S100A6 gene knockdown promotes the production of intracellular inflammatory cytokines and reduces Streptococcus agalactiae invasion into cells, thereby alleviating bacteria-induced cellular damage. Additionally, the increased expression of S100A6 protein in brain tissue and CSF after Streptococcus agalactiae infection suggests its potential as a diagnostic biomarker for bacterial meningitis.

Objective:This study aims to investigate the differences in emotional status and cognitive function among patients with vestibular migraine (VM), Meniere′s disease (MD), and their comorbidity (VMMD), and to analyze key factors influencing cognitive function.Methods:This cross-sectional study included 96 outpatients (32 males, 64 females, aged 21-73 years) from the Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, between December 2022 and December 2023. The study population consisted of 31 VM patients (VM group), 36 MD patients (MD group), and 29 VMMD patients (VMMD group), along with 32 healthy controls (16 males, 16 females, aged 19-74 years). Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA), while emotional status and somatization symptoms were evaluated through the Generalized Anxiety Disorder scale, Patient Health Questionnaire Depression scale, Symptom Checklist-90, and the Self-rating Somatization Symptom scale. Multiple linear regression analysis was conducted to explore the influence of different variables on cognitive function.Results:The total MoCA score in the VMMD group (26.0 [24.5, 28.0]) was significantly lower than that in the control group (28.0 [27.0, 29.0]) and the MD group (28.0 [26.0, 30.0]) ( P=0.006). VMMD patients exhibited significant impairments in specific cognitive domains, including visuospatial/executive function, delayed recall, and orientation ( P<0.05). Patients with VM, MD, and VMMD showed higher rates of anxiety, depression, and somatization symptoms compared to the control group ( P<0.05), with the VMMD group experiencing the most severe emotional distress. Multiple linear regression analysis identified education level and vestibular disease type as key factors affecting cognitive function, with a university-level education predicting higher MoCA scores ( P<0.001), while VMMD was associated with cognitive decline ( P<0.01). Conclusions:Patients with VM and MD, particularly those with comorbid VMMD, exhibit significant emotional distress. Cognitive impairments are present in VM and VMMD patients, affecting different cognitive domains. These factors should be comprehensively considered in clinical assessments to develop more effective treatment strategies.

Objective To develop a machine learning(ML)-based prediction model for assessing the therapeutic effects of resveratrol(RES)on the pathological damage of acute pancreatitis(AP),and to optimize RES administration strategies for AP through validation using an animal model.Methods AAn ML-based prediction model was constructed using published data.Interpretability analysis was applied to identify high-efficacy zones within the parameter space of administration dose and frequency,which was followed by rigorous screening to select the optimal dosing strategy that balanced therapeutic efficacy and experimental feasibility.A total of 32 C57BL/6 mice were randomly assigned to 4 groups(n=8 per group),including a control group(Ctrl),an AP model group induced by caerulein(CER)and referred to as CER-AP,a treatment group receiving RES via intraperitoneal injection(RES i.p.),and a treatment group receiving RES via intragastric gavage(RES i.g.).The Ctrl group received intraperitoneal injection of normal saline.The CER-AP and the treatment groups were induced with 10 intraperitoneal injections of CER at 50 μg/kg.RES was administered to the RES i.p.and RES i.g.groups according to the optimal dose and timing predicted by the ML model.Blood and tissue samples were collected 12 hours after the experiment started.Results The gradient boosting decision tree model,optimized via Hyperopt,yielded the best performance,predicting that the optimal dose and administration frequency were 19.992 mg/kg and 3.828 times,respectively.Accordingly,a regimen of 20 mg/kg RES,administered four times,was used in the animal experiments.Compared with the Ctrl group,the CER-AP group exhibited higher pancreatic pathology scores and elevated levels of serum amylase,lipase,pancreatic myeloperoxidase,and trypsin,with all differences reaching statistical significance(all P<0.05).The administration of 20 mg/kg RES via both intraperitoneal injection and intragastric gavage mitigated pancreatic inflammatory cell infiltration and necrosis,improved the overall pathology score,and reduced serum amylase,lipase,and pancreatic myeloperoxidase levels to varying degrees(all P<0.05).Conclusion A regimen of 20 mg/kg RES administered four times effectively alleviates the severity of CER-induced AP.The therapeutic benefits appear to arise from a multi-target regulatory network that simultaneously suppresses inflammatory cascades,mitigates oxidative stress,and reduces apoptosis,thereby reducing pancreatic tissue damage and systemic inflammatory responses.

Objective:To investigate the level of urinary serine protease(Corin) in early diabetic kidney disease(DKD) and its correlation with clinical stage.Methods:One hundred and seventy-three patients with type 2 diabetes mellitus(DM) from two tertiary A hospitals in Henan, diagnosed between April 2023 and December 2023 were selected as the research group, and 120 healthy subjects were selected as the control group. Basic clinical information and laboratory data were collected, and urinary Corin level was detected. DM patients were classified into G1-G5 stages based on estimated glomerular filtration rate(eGFR), and those in the early DKD stages(G1-G3) were further divided into A1-A3 subgroups based on urinary albumin/creatinine ratio(ACR). Spearman correlation analysis was performed to assess relationships between urinary Corin and other indicators, linear regression analysis identified factors influencing urinary Corin in early DKD patients, logistic regression analysis evaluated the risk factors for early DKD, and receiver operating characteristic(ROC) curve analysis determined the diagnostic value of urinary Corin in early DKD. Results:Urinary Corin levels were significantly higher in early DKD patients compared to healthy controls, with levels increasing as ACR rose( P<0.05). Urinary Corin was positively associated with serum creatinine( r=0.570), urea( r=0.458), cystatin C( r=0.693), ACR( r=0.616), urinary transferrin( r=0.448), urinary α1 microglobulin( r=0.507), urinary n-acetyl-β-D-glucosaminase( r=0.388) and A subgroup( r=0.692) while was negatively correlated with eGFR( r=-0.647), albumin( r=-0.312)(all P<0.05). eGFR was the only independent factor affecting urinary Corin. After adjusting for confounding factors in logistic regression analysis, urinary Corin was still an independent influencing factor for early DKD. ROC curve analysis indicated that urinary Corin had a diagnostic AUC of 0.842(95% CI 0.791-0.892, P<0.001), with a cut-off value of 2 226.04 pg/mL, sensitivity of 0.712, and specificity of 0.858 for early DKD diagnosis. Conclusions:Urinary Corin was elevated in early DKD patients and correlated with clinical stage. Urinary Corin is an independent factor of early DKD, and a reliable predictor of early DKD diagnosis.

Objective:To investigate the assoication of amino acid metabolism levels with severity of diabetic peripheral neuropathy(DPN) in patients with type 2 diabetes mellitus.Methods:A retrospective analysis was conducted on 118 patients with type 2 diabetes mellitus who were admitted to Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from January to April 2021. Patients were divided into groups according to the Toronto Clinical Scoring System(TCSS), and amino acid profiling was performed. General demographics and biochemical indicators of each group were collected to analyze the relationship between DPN severity and amino acid metabolism.Results:As TCSS scores increased, patients were older and had a longer duration of diabetes. Statistically significant differences in leucine, isoleucine, tryptophan, and phenylalanine levels were observed among the four groups. After adjusting for confounding variables using covariance analysis, when the TCSS score was≥13, the serum phenylalanine level was significantly elevated, and the difference was statistically significant( P<0.05). Multivariate linear regression analysis indicated that TCSS score was an influencing factor for phenylalanine levels( P=0.010). Multivariate logistic regression analysis demonstrated that higher serum phenylalanine levels correlated with higher TCSS scores( OR=1.047, 95% CI 1.011-1.083, P=0.010). Receiver operating characteristic(ROC) curve analysis revealed that serum phenylalanine and the difference between phenylalanine and tryptophan had diagnostic value for severe DPN patients, with areas under the ROC curve of 0.673(95% CI 0.553-0.793, P=0.006) and 0.746(95% CI 0.641-0.852, P<0.001) respectively. Conclusions:The levels of phenylalanine and tryptophan in the serum of patients with type 2 diabetes mellitus are correlated with the severity of DPN. These findings suggest that serum phenylalanine, tryptophan, or their metabolic products may be involved in the pathogenesis and progression of DPN.

Objective:To explore the role and molecular mechanisms of S100A6 protein in neonatal meningitis caused by Streptococcus agalactiae. Methods:Human brain microvascular endothelial cells (HBMECs) were used as an in vitro experimental model, and siRNA was employed to construct S100A6 gene knockdown HBMECs strain. The S100A6 gene overexpression cell line was established by lentiviral transfection method. Western blot was used to detect the expression level of S100A6 protein in HBMECs after Streptococcus agalactiae infection, and the change in intracellular inflammatory cytokine protein levels after S100A6 gene knockdown or overexpression. A neonatal bacterial meningitis model was established by injecting Streptococcus agalactiae suspension into the cisterna magna of neonatal Sprague-Dawley (SD) rats. HE staining was used to observe pathological changes in brain tissue; immunohistochemistry was used to detect the expression and distribution of S100A6 protein in brain tissue; Western blot and ELISA were used to measure S100A6 protein levels in cerebrospinal fluid (CSF). Results:Compared with the control group, the intracellular S100A6 protein level in HBMECs increased significantly following Streptococcus cgalactiae infection. After S100A6 gene knockdown, the invasion rate of Streptococcus agalactiae into the HBMECs was significantly reduced ( P<0.01), while intracellular TNF-α and IL-6 protein levels were elevated markedly ( P<0.01). In contrast, overexpression of S100A6 gene increased the invasion rate ( P<0.01) and notably decreased TNF-α and IL-6 protein levels ( P<0.001). In the neonatal SD rat bacterial meningitis model, HE staining revealed substantial neutrophil infiltration in brain tissue after Streptococcus agalactiae infection. Immunohistochemistry showed extensive deposition of S100A6 protein around the meninges, and significant expression of S100A6 protein was also detected in CSF. Conclusions:S100A6 protein is crucial in mediating neonatal meningitis caused by Streptococcus agalactiae infection. S100A6 gene knockdown promotes the production of intracellular inflammatory cytokines and reduces Streptococcus agalactiae invasion into cells, thereby alleviating bacteria-induced cellular damage. Additionally, the increased expression of S100A6 protein in brain tissue and CSF after Streptococcus agalactiae infection suggests its potential as a diagnostic biomarker for bacterial meningitis.

Objective:To investigate the level of urinary serine protease(Corin) in early diabetic kidney disease(DKD) and its correlation with clinical stage.Methods:One hundred and seventy-three patients with type 2 diabetes mellitus(DM) from two tertiary A hospitals in Henan, diagnosed between April 2023 and December 2023 were selected as the research group, and 120 healthy subjects were selected as the control group. Basic clinical information and laboratory data were collected, and urinary Corin level was detected. DM patients were classified into G1-G5 stages based on estimated glomerular filtration rate(eGFR), and those in the early DKD stages(G1-G3) were further divided into A1-A3 subgroups based on urinary albumin/creatinine ratio(ACR). Spearman correlation analysis was performed to assess relationships between urinary Corin and other indicators, linear regression analysis identified factors influencing urinary Corin in early DKD patients, logistic regression analysis evaluated the risk factors for early DKD, and receiver operating characteristic(ROC) curve analysis determined the diagnostic value of urinary Corin in early DKD. Results:Urinary Corin levels were significantly higher in early DKD patients compared to healthy controls, with levels increasing as ACR rose( P<0.05). Urinary Corin was positively associated with serum creatinine( r=0.570), urea( r=0.458), cystatin C( r=0.693), ACR( r=0.616), urinary transferrin( r=0.448), urinary α1 microglobulin( r=0.507), urinary n-acetyl-β-D-glucosaminase( r=0.388) and A subgroup( r=0.692) while was negatively correlated with eGFR( r=-0.647), albumin( r=-0.312)(all P<0.05). eGFR was the only independent factor affecting urinary Corin. After adjusting for confounding factors in logistic regression analysis, urinary Corin was still an independent influencing factor for early DKD. ROC curve analysis indicated that urinary Corin had a diagnostic AUC of 0.842(95% CI 0.791-0.892, P<0.001), with a cut-off value of 2 226.04 pg/mL, sensitivity of 0.712, and specificity of 0.858 for early DKD diagnosis. Conclusions:Urinary Corin was elevated in early DKD patients and correlated with clinical stage. Urinary Corin is an independent factor of early DKD, and a reliable predictor of early DKD diagnosis.