Diabetic Nephropathy (DN) is the leading cause of end-stage renal disease (ESRD) globally, representing a major global health burden with limited disease-modifying therapies. Podocyte injury serves as the core pathological hallmark of DN, and conventional treatments targeting metabolic disorders or hemodynamic abnormalities fail to reverse the progressive decline of renal function. Accumulating evidence over the past decade has established that high glucose-induced podocyte pyroptosis—a pro-inflammatory form of programmed cell death—is a key driving force in DN progression. Its core molecular mechanism hinges on the activation of the TXNIP-NLRP3 inflammasome axis. Under sustained hyperglycemic conditions, excessive reactive oxygen species (ROS) are generated via pathways including the polyol pathway, advanced glycation end products (AGEs) accumulation, and mitochondrial dysfunction. Concurrently, methylglyoxal (a glucose metabolite) mediates post-translational modification of thioredoxin-interacting protein (TXNIP). These events collectively trigger the dissociation of TXNIP from thioredoxin (TRX), a redox-regulating protein. The free TXNIP then translocates to the mitochondria, where it binds to The NACHT, LRR, and PYD domain-containing protein 3 (NLRP3) and promotes inflammasome assembly. This assembly activates cysteine-aspartic acid protease 1 (caspase-1), which cleaves Gasdermin D (GSDMD) to generate its N-terminal fragment (GSDMD-NT). GSDMD-NT oligomerizes to form membrane pores, leading to podocyte swelling, rupture, and the release of pro-inflammatory cytokines interleukin-1β (IL-1β) and interleukin-18 (IL-18). These cytokines amplify local inflammatory responses, induce mesangial cell proliferation, and accelerate extracellular matrix deposition, ultimately exacerbating glomerulosclerosis. MCC950, a highly selective NLRP3 inhibitor, exerts its therapeutic effects through a multi-layered mechanism: it binds to the NACHT domain (NAIP, CIITA, HET-E and TP1 domain) of NLRP3 with nanomolar affinity, forming hydrogen bonds with key residues (Lys-42 and Asp-166) within the ATP-hydrolysis pocket to block ATP hydrolysis, thereby locking NLRP3 in an inactive conformational state. Additionally, MCC950 interferes with the protein-protein interaction between TXNIP and NLRP3 and regulates mitochondrial homeostasis to reduce ROS production. Preclinical studies have demonstrated that MCC950 dose-dependently reduces proteinuria, restores the expression of podocyte-specific markers (nephrin and Wilms tumor 1 protein, WT1), and alleviates podocyte foot process fusion and glomerulosclerosis in both streptozotocin (STZ)-induced type 1 diabetic models (characterized by absolute insulin deficiency) and db/db type 2 diabetic models (driven by insulin resistance). However, discrepancies in therapeutic outcomes exist across different models—some studies report exacerbated renal inflammation and fibrosis in STZ-induced models—which may stem from differences in disease pathogenesis, intervention timing (early vs. mid-stage disease), and dosing duration. Despite its promising preclinical efficacy, MCC950 faces significant translational challenges, including low oral bioavailability, insufficient podocyte targeting, potential hepatotoxicity, and drug-drug interactions with statins (commonly prescribed to diabetic patients for cardiovascular risk management). Furthermore, off-target effects such as the inhibition of carbonic anhydrase 2 have been identified, raising concerns about its safety profile. Nevertheless, its unique mechanism of action—directly blocking podocyte pyroptosis by targeting the TXNIP-NLRP3 axis—endows it with substantial translational value. In the future, strategies to overcome these barriers are expected to advance its clinical application: targeted delivery via nanocarriers (e.g., PLGA-PEG nanoparticles or nephrin antibody-conjugated systems) to enhance renal accumulation and podocyte specificity; precise patient stratification based on biomarkers such as serum IL-18 and renal TXNIP/NLRP3 expression to identify “inflammatory-phenotype” DN patients most likely to benefit; and combination therapy with sodium-glucose cotransporter 2 (SGLT2) inhibitors—whose metabolic benefits synergize with MCC950’s anti-inflammatory effects. These approaches hold great potential to break through clinical translation bottlenecks, offering a novel, precise anti-inflammatory treatment option for DN and addressing an unmet clinical need for therapies targeting the inflammatory underpinnings of the disease.

Diabetic Nephropathy (DN) is the leading cause of end-stage renal disease (ESRD) globally, representing a major global health burden with limited disease-modifying therapies. Podocyte injury serves as the core pathological hallmark of DN, and conventional treatments targeting metabolic disorders or hemodynamic abnormalities fail to reverse the progressive decline of renal function. Accumulating evidence over the past decade has established that high glucose-induced podocyte pyroptosis—a pro-inflammatory form of programmed cell death—is a key driving force in DN progression. Its core molecular mechanism hinges on the activation of the TXNIP-NLRP3 inflammasome axis. Under sustained hyperglycemic conditions, excessive reactive oxygen species (ROS) are generated via pathways including the polyol pathway, advanced glycation end products (AGEs) accumulation, and mitochondrial dysfunction. Concurrently, methylglyoxal (a glucose metabolite) mediates post-translational modification of thioredoxin-interacting protein (TXNIP). These events collectively trigger the dissociation of TXNIP from thioredoxin (TRX), a redox-regulating protein. The free TXNIP then translocates to the mitochondria, where it binds to The NACHT, LRR, and PYD domain-containing protein 3 (NLRP3) and promotes inflammasome assembly. This assembly activates cysteine-aspartic acid protease 1 (caspase-1), which cleaves Gasdermin D (GSDMD) to generate its N-terminal fragment (GSDMD-NT). GSDMD-NT oligomerizes to form membrane pores, leading to podocyte swelling, rupture, and the release of pro-inflammatory cytokines interleukin-1β (IL-1β) and interleukin-18 (IL-18). These cytokines amplify local inflammatory responses, induce mesangial cell proliferation, and accelerate extracellular matrix deposition, ultimately exacerbating glomerulosclerosis. MCC950, a highly selective NLRP3 inhibitor, exerts its therapeutic effects through a multi-layered mechanism: it binds to the NACHT domain (NAIP, CIITA, HET-E and TP1 domain) of NLRP3 with nanomolar affinity, forming hydrogen bonds with key residues (Lys-42 and Asp-166) within the ATP-hydrolysis pocket to block ATP hydrolysis, thereby locking NLRP3 in an inactive conformational state. Additionally, MCC950 interferes with the protein-protein interaction between TXNIP and NLRP3 and regulates mitochondrial homeostasis to reduce ROS production. Preclinical studies have demonstrated that MCC950 dose-dependently reduces proteinuria, restores the expression of podocyte-specific markers (nephrin and Wilms tumor 1 protein, WT1), and alleviates podocyte foot process fusion and glomerulosclerosis in both streptozotocin (STZ)-induced type 1 diabetic models (characterized by absolute insulin deficiency) and db/db type 2 diabetic models (driven by insulin resistance). However, discrepancies in therapeutic outcomes exist across different models—some studies report exacerbated renal inflammation and fibrosis in STZ-induced models—which may stem from differences in disease pathogenesis, intervention timing (early vs. mid-stage disease), and dosing duration. Despite its promising preclinical efficacy, MCC950 faces significant translational challenges, including low oral bioavailability, insufficient podocyte targeting, potential hepatotoxicity, and drug-drug interactions with statins (commonly prescribed to diabetic patients for cardiovascular risk management). Furthermore, off-target effects such as the inhibition of carbonic anhydrase 2 have been identified, raising concerns about its safety profile. Nevertheless, its unique mechanism of action—directly blocking podocyte pyroptosis by targeting the TXNIP-NLRP3 axis—endows it with substantial translational value. In the future, strategies to overcome these barriers are expected to advance its clinical application: targeted delivery via nanocarriers (e.g., PLGA-PEG nanoparticles or nephrin antibody-conjugated systems) to enhance renal accumulation and podocyte specificity; precise patient stratification based on biomarkers such as serum IL-18 and renal TXNIP/NLRP3 expression to identify “inflammatory-phenotype” DN patients most likely to benefit; and combination therapy with sodium-glucose cotransporter 2 (SGLT2) inhibitors—whose metabolic benefits synergize with MCC950’s anti-inflammatory effects. These approaches hold great potential to break through clinical translation bottlenecks, offering a novel, precise anti-inflammatory treatment option for DN and addressing an unmet clinical need for therapies targeting the inflammatory underpinnings of the disease.

Purpose To explore the value of machine learning models based on synthetic MRI,dynamic contrast-enhanced MRI(DCE-MRI)and diffusion weighted imaging(DWI)parameters in identifying molecular subtypes of breast cancer.Materials and Methods A retrospective analysis was conducted on the data of 292 patients who underwent synthetic MRI,DCE-MRI and DWI examinations from September 2020 to September 2024 in Ningxia Medical University General Hospital before surgery and were pathologically confirmed to have breast cancer postoperatively.Patients were randomly divided into training and test sets using a ratio of 7:3.Multiple parameters were obtained from the synthetic MRI,DCE-MRI and DWI images.Variance analysis were used to screen the characteristic parameters among molecular subtype groups.Five machine learning models were established based on the selected characteristic parameters,and receiver operating characteristic curves were plotted to calculate the area under the curve among the molecular subtype groups.Results The support vector machine model exhibited the highest overall performance,with an area under the curve of 0.972,accuracy of 82.5％,specificity of 94.76％and sensitivity of 82.14％in the test set.This model's area under the curve values for differentiating luminal A,luminal B,human epidermal growth factor receptor-2 overexpression,and triple-negative groups in the training set were 0.979,0.925,0.971 and 0.982,respectively;in the test set,the area under the curve values were 0.973,0.873,0.956 and 0.955,respectively.Conclusion Machine learning models based on multimodal MRI parameters can assist clinicians in preoperatively determining the molecular subtypes of breast cancer and the support vector machine model shows relatively high comprehensive performance.

Objective This study aims to investigate the effects of FGL2 on the immune response of EBV-infected T cells,including their activation,proliferation,exhaustion,and cytokine profile changes.Methods Primary T cells were infected with EBV at different multiplicities of infection(MOI).Expression of FGL2 in T cells,as well as T-cell activation,proliferation,exhaustion,and cytokine levels,were detected using RT-qPCR,Western blot,ELISA,CCK8,and flow cytometry(FCM),respectively.Further experiments involving FGL2 knockdown and overexpression were conducted to elucidate its specific regulatory role in EBV-infected T cells.Results FGL2 expression was significantly upregulated in EBV-infected T cells(P＜0.05).EBV infection also induced enhanced T cell activation(P＜0.001),proliferation(P＜0.001),and exhaustion(P＜0.01).Compared to the T cells+EBV group,the T cells+EBV+FGL2 overexpression group exhibited higher exhaustion levels(P＜0.01),reduced activation(P＜0.05)and proliferation(P＜0.05),decreased pro-inflammatory cytokine levels(P＜0.05),and increased anti-inflammatory cytokine levels(P＜0.05).Conversely,the T cells+EBV+FGL2 knockdown group demonstrated the opposite trends,with elevated activation(P＜0.01),proliferation(P＜0.05),pro-inflammatory cytokine levels(P＜0.05),and reduced exhaustion(P＜0.01)and anti-inflammatory cytokine levels(P＜0.05).Conclusion FGL2 suppresses T cell activation and proliferation,exacerbates T cell exhaustion,inhibits pro-inflammatory cytokine release,and promotes anti-inflammatory cytokine secretion during EBV infection,thereby modulating the immune response of T cells.

Objective This study aims to investigate the effects of FGL2 on the immune response of EBV-infected T cells,including their activation,proliferation,exhaustion,and cytokine profile changes.Methods Primary T cells were infected with EBV at different multiplicities of infection(MOI).Expression of FGL2 in T cells,as well as T-cell activation,proliferation,exhaustion,and cytokine levels,were detected using RT-qPCR,Western blot,ELISA,CCK8,and flow cytometry(FCM),respectively.Further experiments involving FGL2 knockdown and overexpression were conducted to elucidate its specific regulatory role in EBV-infected T cells.Results FGL2 expression was significantly upregulated in EBV-infected T cells(P＜0.05).EBV infection also induced enhanced T cell activation(P＜0.001),proliferation(P＜0.001),and exhaustion(P＜0.01).Compared to the T cells+EBV group,the T cells+EBV+FGL2 overexpression group exhibited higher exhaustion levels(P＜0.01),reduced activation(P＜0.05)and proliferation(P＜0.05),decreased pro-inflammatory cytokine levels(P＜0.05),and increased anti-inflammatory cytokine levels(P＜0.05).Conversely,the T cells+EBV+FGL2 knockdown group demonstrated the opposite trends,with elevated activation(P＜0.01),proliferation(P＜0.05),pro-inflammatory cytokine levels(P＜0.05),and reduced exhaustion(P＜0.01)and anti-inflammatory cytokine levels(P＜0.05).Conclusion FGL2 suppresses T cell activation and proliferation,exacerbates T cell exhaustion,inhibits pro-inflammatory cytokine release,and promotes anti-inflammatory cytokine secretion during EBV infection,thereby modulating the immune response of T cells.

Objective:To explore the value of serum P-selectin,Interleukin-18(IL-18),and Homocysteine(Hcy)levels in predicting the adverse outcomes of interventional therapy in elderly patients with deep vein thrombosis(DVT)in the lower extremities.Methods:A total of 165 elderly patients with DVT from January 2020 to August 2023 were se-lected.All patients underwent transcatheter intervention thrombolysis therapy.Patients were divided into good outcome group and poor outcome group according to the clinical treatment outcome.Serum P-selectin,IL-18,and Hcy levels were compared between the two groups.The correlation between serum P-selectin,IL-18,and Hcy levels and disease indicators,as well as the outcomes of interventional therapy was analyzed.The predictive value of serum P-selectin,IL-18,and Hcy levels for the outcomes of interventional therapy was evaluated.Results:The total effective rate of catheter-based interventional thrombolysis in 165 patients was 81.82%(135/165).The patients with good outcomes were included in the good outcome group,and the patients with poor outcomes were included in the poor outcome group.The difference in circumference between the affected side and the healthy side of the thigh and the difference in circumference between the affected side and the healthy side of the calf in the poor outcome group were greater than those in the good outcome group(P<0.05).The levels of serum P-selectin,IL-18,and Hcy in the poor outcome group were higher than those in the good outcome group(P<0.05).The levels of serum P-selectin,IL-18,and Hcy were posi-tively correlated with the difference in circumference between the affected and healthy thighs and the difference in cir-cumference between the affected and healthy calves,and negatively correlated with the outcome of interventional therapy(P<0.05).Before and after correcting other factors,serum P-selectin,IL-18,and Hcy were all independent risk factors for the outcome of interventional therapy in elderly patients with DVT(P<0.05).The area under the curve(AUC)of serum P-selectin,IL-18,and Hcy for predicting the outcome of interventional therapy for elderly DVT was 0.789(95%CI:0.718-0.848),0.812(95%CI:0.744-0.868),and 0.792(95%CI:0.722-0.851),respectively.The cutoff values were 44.21 ng/mL,185.73 ng/L,and 23.60 μmol/L,with sensitivities of 70.00%,70.00%,and 80.00%,and specificities of 82.22%,82.96%,and 68.15%,respectively.The AUC of the combined prediction of the outcomes of interventional therapy for elderly DVT was 0.935(95%CI:0.886-0.967),with a cutoff value of 44.08 ng/mL,185.16 ng/L,and 23.37 μmol/L for the three variables,with a sensitivity of 86.67%and a specificity of 88.15%.This was significantly better than the individual prediction values of the three variables(Z=5.817,4.753,5.206,all P<0.001).Conclusion:Serum P-selectin,IL-18,and Hcy are significantly correlated with disease indicators and interventional treatment outcomes in el-derly patients with DVT,and can effectively predict the outcome of interventional treatment,with a high combined pre-dictive value.

OBJECTIVE To investigate the deglycosylation metabolism of dioscin in vivo and the changes of its anti-tumor activi-ty of its deglycosylated metabolites.METHODS An LC-MS/MS analysis method for simultaneous determination of dioscin and its deglycosylation metabolites was established to study the cumulative excretion amount of dioscin and its deglycosylated metabolites in rat feces after oral administration.To mimic its deglycosylation metabolism,HPLC method was applied to investigate the time-dependent changes in the prototype components and metabolites of dioscin after incubation in artificial gastric juice.Solid-phase extraction tech-nology was employed to isolate the product of dioscin following hydrolysis by artificial gastric juice.The cytotoxic effects of this product on human colon cancer cells HCT-116 were assessed using the CCK-8 assay across different hydrolysis time periods.Concurrently,the enzymatic activities of caspase-3 and caspase-9,along with the expression levels of cytochrome C,were measured to elucidate the impact of dioscin post-hydrolysis on the cytotoxicity against HCT-116 cells.RESULTS Dioscin and its series of deglycosylated me-tabolites were detected in rat feces,revealing no significant differences in the cumulative excretion amounts of Polyphyllin Ⅴ and Pro-genin Ⅱ.Dioscin was shown to generate a range of deglycosylated metabolites in artificial gastric juice.Furthermore,dioscin and its deglycosylated metabolites inhibited the proliferation of HCT-116 cells,induced morphological changes,and increased the enzymatic activities of caspase-3 and caspase-9,as well as cytochrome C expression.However,it was observed that the antitumor activity of the deglycosylated metabolites diminished with prolonged hydrolysis time.CONCLUSION The deglycosylation metabolism of dioscin sig-nificantly attenuates its inhibitory effect on the proliferation of HCT-116 cells.Suppressing the acid-mediated or gut microbiota-medi-ated deglycosylation metabolism may be a promising strategy to preserve its antitumor activity.

Objective To analyze the global literature related to functional cure of hepatitis B from 2019 to 2023 by using bibliometric analysis methods,so as to help researchers understand the research hotspots and trends in this field.Methods The literature related to the topic of functional cure of hepatitis B included in the Science Citation Index Expanded(SCI-Expanded)of the Web of Science Core Collection from 2019 to 2023 was searched.By using VOSviewer and CiteSpace visual analysis tools,analyses were conducted from the perspectives of publication trends,international research cooperation networks,and keyword emergence,and were elaborated with the specific contents of the related literature to elucidate research hotspots and trends.Results A total of 600 eligible papers in this field were included.Keyword co-occurrence and thematic clustering suggested that the main research directions of functional cure were:serum biomarkers for prediction and monitoring of functional cure,functional cure and immunity,nucleoside analog discontinuation,interferon therapy,and long-term prognosis of functional cure.The research contents of the ESI highly cited original research papers were similar to the clustering of the above,but showed more attention on the novel agents for functional cure.The content of the keyword emergence map showed that hotspots of interest changed from virologic mechanisms and serum markers,to nucleoside analog discontinuation and interferon therapy,and finally to immunologic mechanisms and new drug.Conclusion The research hotspots and trends of functional cure of hepatitis B were focused on virological mechanism,serum markers,immunological mechanism,nucleoside analog discontinuation,interferon therapy,and long-term prognosis after cure.

Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

BACKGROUND:Existing studies have compared patients with degenerative lumbar spondylolisthesis with healthy populations,but comparative studies focusing on differences in this aspect of the parameter between these different lumbar spondylolisthesis are lacking.OBJECTIVE:To explore the differences in paraspinal muscle degeneration between isthmic spondylolisthesis and degenerative lumbar spondylolisthesis,and their correlation with low back pain symptoms.METHODS:A total of 107 patients with lumbar spondylolisthesis treated in Affiliated Hospital of Xuzhou Medical University between February 2019 and August 2023 were analyzed retrospectively.They were divided into the isthmic spondylolisthesis group(39 patients)and the degenerative lumbar spondylolisthesis group(68 patients)according to the type of spondylolisthesis.Paravertebral muscle tissue parameters were compared and analyzed as well as functional scores(visual analog scale for low back pain)in both groups.According to the visual analog scale score,the two groups of patients were divided into two subgroups:those with a visual analog scale score＜45 mm and those with a visual analog scale score＞45 mm,and the relationship between the difference in visual analog scale score and the parameters of paraspinal muscle tissue degeneration was analyzed.RESULTS AND CONCLUSION:(1)The percentage of fat infiltration in the multifidus muscle was higher in the degenerative lumbar spondylolisthesis group than in the isthmic spondylolisthesis group(P=0.003).(2)The percentage of fat infiltration in the multifidus muscle was significantly lower in patients with a visual analog scale score of＜45 mm than in patients with a visual analog scale score of＞45 mm in both groups(P=0.021,P＜0.001).(3)Patients in the isthmic spondylolisthesis group also showed a significantly lower percentage of fat infiltration in patients with visual analog scale score＜45 mm compared with those with visual analog scale score＞45 mm(P=0.002).(4)These results showed that there was a significant difference in paraspinal muscle tissue degeneration between isthmic spondylolisthesis patients and degenerative lumbar spondylolisthesis patients,and that degenerative lumbar spondylolisthesis patients demonstrated more severe paraspinal muscle degeneration compared to isthmic spondylolisthesis patients.In addition,the percentage of fatty infiltration of the multifidus muscle was relatively greater in those with higher pain scores in both groups of lumbar spondylolisthesis patients.