AIM:To investigate the predictive value of central corneal thickness(CCT)and coefficient of variation(CV)of endothelial cell area for secondary glaucoma in patients with uveitis.METHODS: A retrospective study was conducted on uveitis patients admitted to our hospital from July 2023 to April 2025. Based on the occurrence of secondary glaucoma, patients were divided into an occurrence group and a non-occurrence group, and the clinical data of the two groups were compared. Univariate and multivariate Logistic regression analyses were performed to screen for factors affecting poor prognosis. The predictive value of CCT and CV for secondary glaucoma in patients with uveitis was analyzed using receiver operating characteristic(ROC)curves.RESULTS: A total of 100 uveitis patients(100 eyes)were included and categorized into an occurrence group(16 cases, 16 eyes)and a non-occurrence group(84 cases, 84 eyes), there were 9 males and 7 females in the occurrence group, with a mean age of 45.25±10.32 years, and there were 40 males and 44 females in the non-occurence group, with a mean age of 43.89±12.47 years. The CCT in the occurrence group was significantly lower than that in the non-occurrence group, while the CV was significantly higher than that in the non-occurrence group(both P<0.001). Multivariate Logistic regression analysis showed that CCT was a protective factor, and CV was a risk factor for secondary glaucoma in patients with uveitis(both P<0.01). The areas under the ROC curve(AUC)for CCT and CV in predicting secondary glaucoma were 0.794 and 0.792, respectively. The combined predictive model yielded an AUC of 0.888, with a sensitivity of 98.15% and a specificity of 67.74%, demonstrating good predictive efficacy.CONCLUSION: CCT and CV have certain clinical value in predicting secondary glaucoma in uveitis patients. The combined diagnostic approach demonstrates higher efficacy and serves as an auxiliary indicator for assessing the risk of secondary glaucoma in patients with uveitis, allowing for targeted clinical prevention and treatment measures.

Objective To investigate the causal relationship between metabolic syndrome and breast cancer by using a bidirectional two-sample Mendelian randomization (MR) approach. Methods Genome-wide association study (GWAS) summary statistics for metabolic syndrome and breast cancer were acquired from the Integrative Epidemiology Unit GWAS database and the GWAS Catalog, with populations encompassing the United States and East Asia. A bidirectional causal design was employed: a forward analysis with metabolic syndrome as the exposure and breast cancer as the outcome, followed by a reverse analysis wherein their roles were interchanged. The inverse-variance weighting (IVW) method was primarily used for effect estimation, supplemented by MR-Egger regression, the weighted median method, the simple mode method, and the weighted mode method. Instrument variable strength was screened using the F-statistic (F>10). Robustness of the results was assessed through heterogeneity tests, horizontal pleiotropy tests, forest plots, and leave-one-out sensitivity analyses. Results The IVW analysis indicated no significant causal relationship between metabolic syndrome and breast cancer (OR=1.00, 95%CI: 0.97-1.03), P>0.05). Sensitivity analyses yielded consistent results, suggesting the good robustness of the study findings. Conclusion This study found no evidence to support a causal relationship, either positive or negative, between metabolic syndrome and breast cancer.

Background Silicosis, caused by inhalation of silica (SiO₂) dust, remains the most prevalent occupational pneumoconiosis in China. While galectin-3 (Gal-3) is known to play pro-inflammatory and pro-fibrotic roles in various diseases, its specific mechanism in the pathogenesis of silicosis has not been fully clarified. Objective To investigate the role and underlying mechanisms of Gal-3 in silicosis using clinical samples of silicosis and a silicosis mouse model. Methods Lung nodule biopsy samples were collected from patients with stage III pneumoconiosis. Concurrently a silicosis mouse model was constructed via non-exposed tracheal intubation with instillation of a SiO₂ suspension. The expression levels of Gal-3 mRNA and protein in the lung tissues of the silicosis model mice were then detected using real-time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry (IHC) staining. Single-cell transcriptomic sequencing (scRNA-seq) was performed on both human and murine lung samples to analyze the expression of the Gal-3-encoding gene Lgals3 across different cell types. In vitro, RAW264.7 macrophages were treated with varying concentrations of SiO₂ suspension for 24 h and 48 h; the expression levels of Gal-3 mRNA and protein were measured by RT-qPCR and Western blot. The Gal-3 inhibitor TD139 was used to intervene in the SiO₂-induced in vitro macrophage model, and Western blot was used to detect the intracellular expression of interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), and transforming growth factor-β1 (TGF-β1). Finally, mouse embryonic lung fibroblasts NIH/3T3 and Mlg2908 were treated with varying concentrations of recombinant mouse Gal-3 protein (rmGal-3) for 48 h, and Western blot was used to detect the expression of fibrosis markers [(Collagen I, Collagen III, Fibronectin, and α smooth muscle actin (α-SMA)] and proteins associated with the TGF-β1/Smads signaling pathway. Results RT-qPCR and IHC staining showed that both the gene and protein expression levels of Gal-3 were significantly elevated at all consecutive time points in the silicosis mouse model (P < 0.05). scRNA-seq revealed that Lgals3 was aberrantly highly expressed in lung tissues from pneumoconiosis patients and silicosis mouse models, with the highest expression observed in macrophages. After treatment of macrophages with different concentrations of SiO₂ for 24 h and 48 h, the mRNA and protein expression levels of Gal-3 were significantly upregulated compared with the control group (P < 0.05). Following TD139 intervention, the protein expression levels of IL-1β, TNF-α, and TGF-β1 in dust-exposed macrophages were markedly downregulated (P < 0.0001). After 48 h of stimulation with rmGal-3, the protein expression levels of Collagen I, Fibronectin, and α-SMA in mouse embryonic lung fibroblasts (NIH/3T3 and Mlg2908) were significantly increased in all treatment groups compared with the control group (P < 0.01). Moreover, Gal-3 treatment markedly upregulated TGF-β1 protein expression in Mlg2908 cells and enhanced the phosphorylation levels of Smad2 and Smad3 (P < 0.0001). Conclusion Gal-3 is abnormally expressed in silicotic lung tissues, which primarily originates from macrophages, and inhibition of Gal-3 suppresses SiO₂-induced inflammatory and pro-fibrotic responses. In addition, Gal-3 promotes fibroblast differentiation and extracellular matrix production by activating the TGF-β1/Smads signaling pathway.

Background Silicosis, caused by inhalation of silica (SiO₂) dust, remains the most prevalent occupational pneumoconiosis in China. While galectin-3 (Gal-3) is known to play pro-inflammatory and pro-fibrotic roles in various diseases, its specific mechanism in the pathogenesis of silicosis has not been fully clarified. Objective To investigate the role and underlying mechanisms of Gal-3 in silicosis using clinical samples of silicosis and a silicosis mouse model. Methods Lung nodule biopsy samples were collected from patients with stage III pneumoconiosis. Concurrently a silicosis mouse model was constructed via non-exposed tracheal intubation with instillation of a SiO₂ suspension. The expression levels of Gal-3 mRNA and protein in the lung tissues of the silicosis model mice were then detected using real-time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry (IHC) staining. Single-cell transcriptomic sequencing (scRNA-seq) was performed on both human and murine lung samples to analyze the expression of the Gal-3-encoding gene Lgals3 across different cell types. In vitro, RAW264.7 macrophages were treated with varying concentrations of SiO₂ suspension for 24 h and 48 h; the expression levels of Gal-3 mRNA and protein were measured by RT-qPCR and Western blot. The Gal-3 inhibitor TD139 was used to intervene in the SiO₂-induced in vitro macrophage model, and Western blot was used to detect the intracellular expression of interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), and transforming growth factor-β1 (TGF-β1). Finally, mouse embryonic lung fibroblasts NIH/3T3 and Mlg2908 were treated with varying concentrations of recombinant mouse Gal-3 protein (rmGal-3) for 48 h, and Western blot was used to detect the expression of fibrosis markers [(Collagen I, Collagen III, Fibronectin, and α smooth muscle actin (α-SMA)] and proteins associated with the TGF-β1/Smads signaling pathway. Results RT-qPCR and IHC staining showed that both the gene and protein expression levels of Gal-3 were significantly elevated at all consecutive time points in the silicosis mouse model (P < 0.05). scRNA-seq revealed that Lgals3 was aberrantly highly expressed in lung tissues from pneumoconiosis patients and silicosis mouse models, with the highest expression observed in macrophages. After treatment of macrophages with different concentrations of SiO₂ for 24 h and 48 h, the mRNA and protein expression levels of Gal-3 were significantly upregulated compared with the control group (P < 0.05). Following TD139 intervention, the protein expression levels of IL-1β, TNF-α, and TGF-β1 in dust-exposed macrophages were markedly downregulated (P < 0.0001). After 48 h of stimulation with rmGal-3, the protein expression levels of Collagen I, Fibronectin, and α-SMA in mouse embryonic lung fibroblasts (NIH/3T3 and Mlg2908) were significantly increased in all treatment groups compared with the control group (P < 0.01). Moreover, Gal-3 treatment markedly upregulated TGF-β1 protein expression in Mlg2908 cells and enhanced the phosphorylation levels of Smad2 and Smad3 (P < 0.0001). Conclusion Gal-3 is abnormally expressed in silicotic lung tissues, which primarily originates from macrophages, and inhibition of Gal-3 suppresses SiO₂-induced inflammatory and pro-fibrotic responses. In addition, Gal-3 promotes fibroblast differentiation and extracellular matrix production by activating the TGF-β1/Smads signaling pathway.

Objective: To define the mechanism by which swine TRIM25 restricts vesicular stomatitis virus replication. Methods: Porcine 3D4/21 cells with TRIM25 overexpression or knockdown were infected with vesicular stomatitis virus. Viral replication was quantified by immunoblotting, quantitative reverse transcription polymerase chain reaction, and 50% tissue culture infectious dose assays. Type I interferon signaling was assessed by transcript quantification, interferon-beta and interferon-stimulated response element reporter assays, and co-immunoprecipitation.Viral RNA binding was tested by RNA immunoprecipitation. Results: TRIM25 overexpression reduced viral RNA and infectious titers, whereas TRIM25 knockdown increased replication (p < 0.01). TRIM25 increased interferon-beta and interferon-stimulated gene expression and enhanced interferon-beta and interferonstimulated response element promoter activity (p < 0.01). Mechanistically, TRIM25 promoted Lys63-linked ubiquitination of RIG-I and increased phosphorylation of TANK-binding kinase 1 and interferon regulatory factor 3. TRIM25 also bound vesicular stomatitis virus genomic RNA, and binding required the C-terminal region. Conclusions and Relevance: Porcine TRIM25 restricts vesicular stomatitis virus replication by amplifying type I interferon signaling and directly binding viral RNA.

ObjectiveTo optimize Tusizi prescription for ovarian reserve function based on the uniform design method combined with in vitro experiments and explore the underlying mechanisms of this prescription. MethodsThe uniform design method was adopted to design a 5-factor 11-level experiment on the water extract of Tusizi prescription. The cell-counting kit-8 （CCK-8） assay was employed to measure the viability of human ovarian granulosa cells （KGN cells） treated with Tusizi prescription extracts 1-11， and multivariate regression analysis was performed to determine the optimal herb ratio in this prescription. The potential targets of active ingredients in the prescription were retrieved from traditional Chinese medicine systems pharmacology database and analysis platform （TCMSP） and encyclopedia of traditional Chinese medicine （ETCM）. The common targets shared by Tusizi prescription and diminished ovarian reserve （DOR） were selected and imported into search tool for the retrieval of interacting genes/proteins （STRING） to construct a protein-protein interaction （PPI） network and into gene function annotation database （DAVID） for gene ontology （GO） analysis. The CCK-8 assay was used to measure the viability of ovarian germline stem cells treated with hyperoside. The CCK-8 assay， 5-ethynyl-2'-deoxyuridine （EdU） staining， terminal-deoxynucleoitidyl transferase mediated nick-end labeling （TUNEL）， and enzyme-linked immunosorbent assay （ELISA） were employed to examine the proliferation， apoptosis， and estradiol （E₂） secretion of KGN cells treated with the water extract 11 of Tusizi prescription （Cuscutae Semen-Lycii Fructus-Dioscoreae Rhizoma-Poria-Nelumbinis Semen 4∶4∶2∶1∶1） and the optimal prescription screened by uniform design. On this basis， the optimal prescription composition for maximizing the effect on ovarian reserve function was determined and preliminary insights into the underlying mechanisms of this prescription were gained. ResultsA total of 147 common targets were obtained from 278 targets of Tusizi prescription and 1 721 targets of DOR. GO analysis revealed 194 biological processes， primarily involving cellular responses to exogenous compound stimuli， negative regulation of apoptotic process， and positive regulation of cell proliferation. It identified 84 cellular components， including cell membrane， mitochondria， and neuronal cell body， as well as 144 molecular functions such as enzyme binding， estrogen response element binding， and nuclear estrogen receptor binding. The multivariate regression analysis revealed that when Tusizi prescription was composed of Cuscutae Semen， Lycii Fructus， Dioscoreae Rhizoma， Poria， and Nelumbinis Semen in a ratio of 27∶30∶17∶12∶14， the water extract of Tusizi prescription had the best effect of enhancing the viability of KGN cells. CCK-8 results showed that compared with the normal group， the hyperoside group demonstrated increased viability of ovarian germline stem cells （P<0.01）. The CCK-8， EdU， and ELISA results showed that compared with the normal group， the optimal prescription screened by uniform design and the water extract 11 of Tusizi prescription increased the proliferation and reduced the apoptosis of KGN cells （P<0.05， P<0.01）. ELISA results showed that compared with the normal group， the water extract 11 of Tusizi prescription promoted the E₂ secretion of KGN cells （P<0.05）， while the optimal prescription screened by uniform design had no significant effect on the E₂ secretion. ConclusionBoth the water extract 11 of Tusizi prescription （Cuscutae Semen-Lycii Fructus-Dioscoreae Rhizoma-Poria-Nelumbinis Semen 4∶4∶2∶1∶1） and the optimal prescription screened by uniform design （Cuscutae Semen-Lycii Fructus-Dioscoreae Rhizoma-Poria-Nelumbinis Semen 27∶30∶17∶12∶14） can improve the ovarian reserve function， and the former has better effect. Tusizi prescription can modulate biological processes （such as cell proliferation and apoptosis） and molecular functions （such as enzyme binding and estrogen response element binding） through active components like hyperoside to promote the proliferation and E₂ secretion and inhibit the apoptosis of KGN cells， thereby protecting the ovarian reserve function.

ObjectiveTo optimize Tusizi prescription for ovarian reserve function based on the uniform design method combined with in vitro experiments and explore the underlying mechanisms of this prescription. MethodsThe uniform design method was adopted to design a 5-factor 11-level experiment on the water extract of Tusizi prescription. The cell-counting kit-8 （CCK-8） assay was employed to measure the viability of human ovarian granulosa cells （KGN cells） treated with Tusizi prescription extracts 1-11， and multivariate regression analysis was performed to determine the optimal herb ratio in this prescription. The potential targets of active ingredients in the prescription were retrieved from traditional Chinese medicine systems pharmacology database and analysis platform （TCMSP） and encyclopedia of traditional Chinese medicine （ETCM）. The common targets shared by Tusizi prescription and diminished ovarian reserve （DOR） were selected and imported into search tool for the retrieval of interacting genes/proteins （STRING） to construct a protein-protein interaction （PPI） network and into gene function annotation database （DAVID） for gene ontology （GO） analysis. The CCK-8 assay was used to measure the viability of ovarian germline stem cells treated with hyperoside. The CCK-8 assay， 5-ethynyl-2'-deoxyuridine （EdU） staining， terminal-deoxynucleoitidyl transferase mediated nick-end labeling （TUNEL）， and enzyme-linked immunosorbent assay （ELISA） were employed to examine the proliferation， apoptosis， and estradiol （E₂） secretion of KGN cells treated with the water extract 11 of Tusizi prescription （Cuscutae Semen-Lycii Fructus-Dioscoreae Rhizoma-Poria-Nelumbinis Semen 4∶4∶2∶1∶1） and the optimal prescription screened by uniform design. On this basis， the optimal prescription composition for maximizing the effect on ovarian reserve function was determined and preliminary insights into the underlying mechanisms of this prescription were gained. ResultsA total of 147 common targets were obtained from 278 targets of Tusizi prescription and 1 721 targets of DOR. GO analysis revealed 194 biological processes， primarily involving cellular responses to exogenous compound stimuli， negative regulation of apoptotic process， and positive regulation of cell proliferation. It identified 84 cellular components， including cell membrane， mitochondria， and neuronal cell body， as well as 144 molecular functions such as enzyme binding， estrogen response element binding， and nuclear estrogen receptor binding. The multivariate regression analysis revealed that when Tusizi prescription was composed of Cuscutae Semen， Lycii Fructus， Dioscoreae Rhizoma， Poria， and Nelumbinis Semen in a ratio of 27∶30∶17∶12∶14， the water extract of Tusizi prescription had the best effect of enhancing the viability of KGN cells. CCK-8 results showed that compared with the normal group， the hyperoside group demonstrated increased viability of ovarian germline stem cells （P<0.01）. The CCK-8， EdU， and ELISA results showed that compared with the normal group， the optimal prescription screened by uniform design and the water extract 11 of Tusizi prescription increased the proliferation and reduced the apoptosis of KGN cells （P<0.05， P<0.01）. ELISA results showed that compared with the normal group， the water extract 11 of Tusizi prescription promoted the E₂ secretion of KGN cells （P<0.05）， while the optimal prescription screened by uniform design had no significant effect on the E₂ secretion. ConclusionBoth the water extract 11 of Tusizi prescription （Cuscutae Semen-Lycii Fructus-Dioscoreae Rhizoma-Poria-Nelumbinis Semen 4∶4∶2∶1∶1） and the optimal prescription screened by uniform design （Cuscutae Semen-Lycii Fructus-Dioscoreae Rhizoma-Poria-Nelumbinis Semen 27∶30∶17∶12∶14） can improve the ovarian reserve function， and the former has better effect. Tusizi prescription can modulate biological processes （such as cell proliferation and apoptosis） and molecular functions （such as enzyme binding and estrogen response element binding） through active components like hyperoside to promote the proliferation and E₂ secretion and inhibit the apoptosis of KGN cells， thereby protecting the ovarian reserve function.

Ulcerative colitis （UC） is a refractory disease of the digestive system characterized by diverse etiologies， complex pathogenesis， a prolonged course， and frequent relapses. In recent years， the incidence of UC has been increasing annually， severely impairing patients' quality of life， posing a risk of malignant transformation that may threaten patients' lives， and resulting in a substantial medical burden. Traditional Chinese medicine （TCM） compound formulas， with their advantages of multi-component and multi-target actions， have become a new therapeutic option for UC. The NOD-like receptor pyrin domain-containing 3 （NLRP3） inflammasome is a core component of innate immunity， and its aberrant activation is closely associated with the onset and progression of UC， involving multiple processes such as inflammation and oxidative stress， and exhibiting crosstalk with pathways including nuclear factor-κB （NF-κB）， nuclear factor erythroid 2-related factor 2 （Nrf2）， and thioredoxin-interacting protein （TXNIP）. At present， NLRP3 has become one of the most intensely studied hotspots in UC-related research. Although increasing studies have focused on the regulation of the NLRP3 inflammasome by TCM compound formulas for UC treatment， challenges remain due to the complex pathogenesis of UC and the compositional diversity of TCM， hindering the realization of precision therapy. In this context， by reviewing literature from the past decade， this paper summarizes the activation process of NLRP3 and its relationship with UC， and elucidates the roles and mechanisms by which TCM compound formulas regulate the NLRP3 inflammasome and related signaling pathways， with a view to providing a reference for further research into the pathogenesis of UC， TCM treatment strategies， and their mechanisms of action.

ObjectiveTo investigate the influence of empagliflozin combined with donafenib or lenvatinib on the pharmacokinetic parameters of each drug， and to provide a reference for combined medication in clinical practice. MethodsA total of 48 healthy male Sprague-Dawley rats were divided into 8 groups： empagliflozin group 1 and 2， donafenib group， lenvatinib group， donafenib pretreatment+empagliflozin group， lenvatinib pretreatment + empagliflozin group， empagliflozin pretreatment+donafenib group， and empagliflozin pretreatment+lenvatinib group， with 6 rats in each group. The doses of empagliflozin， donafenib， and lenvatinib were 2.5 mg/kg， 40 mg/kg， and 1.2 mg/kg， respectively. The rats in the empagliflozin group， donafenib group， and lenvatinib group were given a blank solvent by gavage for 7 consecutive days， followed by a single dose of empagliflozin， donafenib， or lenvatinib on day 7 after the administration of the blank solvent； the rats in the pretreatment groups were given the pretreatment drug by gavage for 7 consecutive days， followed by a single dose of drug combination on day 7 after administration of the pretreatment drug. Blood samples were collected at different time points， and plasma was separated to measure the concentration of each drug. A validated ultra-performance liquid chromatography-tandem mass spectrometry method was used to measure the plasma concentrations of donafenib， lenvatinib， and empagliflozin， and a non-compartmental model was used to calculate the main pharmacokinetic parameters of each drug （area under the plasma concentration-time curve ［AUC］， time to peak ［T_max］， peak concentration ［C_max］， and half-life time ［t_1/2］）. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups. ResultsCompared with the empagliflozin group， the donafenib pretreatment+empagliflozin group had significant increases in the AUC_0-t and AUC_0-∞ of empagliflozin （P=0.011 and 0.008）， while the lenvatinib pretreatment+empagliflozin group had no significant change in the AUC of empagliflozin， with a slightly shorter T_max （P=0.019）. Compared with the donafenib group， the empagliflozin pretreatment+donafenib group had significant increases in the AUC_0-t and AUC_0-∞ of donafenib （P=0.027 and 0.025）， as well as a significant increase in C_max （P=0.015） and significant reductions in CLz/F and Vz/F （P=0.005 and 0.004）； compared with the lenvatinib group， the empagliflozin pretreatment+lenvatinib group had a reduction in the t_1/2 of lenvatinib by approximately 5 hours （P=0.002）， with a trend of reduction in AUC_0-t （P0.05）. ConclusionEmpagliflozin combined with donafenib may alter the pharmacokinetic parameters of both drugs， leading to a significant increase in the exposure levels of both drugs， and efficacy and adverse reactions should be monitored during co-administration. There are no significant changes in the exposure levels of empagliflozin and lenvatinib during co-administration.

Gliomas, especially high-grade gliomas such as glioblastoma multiforme (GBM), are primary malignant tumors of the central nervous system, characterized by high proliferative capacity, invasiveness, and therapeutic resistance. The development of GBM relies heavily on continuous metabolic reprogramming to adapt to the unique intracranial microenvironment, with nicotinamide adenine dinucleotide (NAD⁺) metabolic remodeling playing a pivotal role. Dysregulation of NAD⁺ and its associated metabolic pathways sustains increased intracellular NAD⁺ levels, which drive the malignant proliferation and invasive potential of GBM, correlating with worsened patient prognosis. This review systematically summarizes the current research landscape of NAD⁺ metabolic remodeling in GBM, elucidates the mechanisms by which NAD⁺ contributes to GBM pathogenesis and progression, and explores the clinical potential of NAD⁺-targeted diagnostic and therapeutic strategies to provide novel insights and directions for the clinical management of GBM.