Glioma, the most prevalent primary tumor of the central nervous system (CNS), is also the most lethal primary malignant tumor. Currently, there are limited chemotherapeutics available for glioma treatment, necessitating further research to identify and develop new chemotherapeutic agents. A significant approach to discovering anti-glioma drugs involves isolating antitumor active ingredients from natural products (NPs) and optimizing their structures. Additionally, targeted drug delivery systems (TDDSs) are employed to enhance drug solubility and stability and overcome the blood-brain barrier (BBB). TDDSs can penetrate deep into the brain, increase drug concentration and retention time in the CNS, and improve the targeting efficiency of NPs, thereby reducing adverse effects and enhancing anti-glioma efficacy. This paper reviews the research progress of anti-glioma activities of NPs, including alkaloids, polyphenols, flavonoids, terpenoids, saponins, quinones, and their synthetic derivatives over the past decade. The review also summarizes anti-glioma mechanisms, such as suppression of related protein expression, regulation of reactive oxygen species (ROS) levels, control of apoptosis signaling pathways, reduction of matrix metalloproteinases (MMPs) expression, blocking of vascular endothelial growth factor (VEGF), and reversal of immunosuppression. Furthermore, the functions and advantages of NP-based TDDSs in anti-glioma therapy are examined. The key information presented in this review will be valuable for the research and development of NP-based anti-glioma drugs and related TDDSs.
Humans ; Glioma/metabolism* ; Biological Products/therapeutic use* ; Animals ; Brain Neoplasms/genetics* ; Drug Delivery Systems ; Antineoplastic Agents/therapeutic use* ; Blood-Brain Barrier/metabolism* ; Apoptosis/drug effects*

Objective:To investigate the clinical significance of serum galectin-9 (Gal-9) in patients with dermatomyositis (DM) or clinically amyopathic dermatomyositis (CADM) .Methods:This cross-sectional study included 105 newly diagnosed patients with DM or CADM who were admitted to the Department of Dermatology in Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, from January 2015 to October 2024, among whom 53 had cancer-associated DM/CADM (CRDM). Additionally, an age-matched control group was included, consisting of 30 newly diagnosed cancer patients without autoimmune diseases, 27 systemic lupus erythematosus (SLE) patients, and 31 healthy controls. Serum levels of Gal-9 and transcriptional intermediary factor 1-gamma (TIF1-γ) were measured using enzyme-linked immunosorbent assay. The relationship between Gal-9 levels and laboratory indicators of DM disease activity was analyzed. Comparisons between different groups were performed using the t-test, Mann-Whitney U test, and chi-square test. Spearman correlation analysis was used to assess the association between Gal-9 levels and laboratory indicators. The diagnostic efficacy of Gal-9 and TIF1-γ for CRDM was evaluated using receiver operating characteristic (ROC) curve analysis. Results:Among the 105 DM/CADM patients, 35 were male (33.3%) and 70 were female (66.7%), with a mean age of 53.2 ± 15.1 years. In the 53 CRDM patients, the incidence rates of V-neck sign, dyschromia, and dysphagia were higher than those in non-CRDM patients (all P > 0.05). Serum Gal-9 levels in DM/CADM patients (21.2 [12.2, 32.3] ng/ml) were significantly higher than those in healthy controls (6.8 [5.4, 7.9] ng/ml, P < 0.001), SLE patients (12.3 [8.1, 15.5] ng/ml, P = 0.011), and cancer patients without autoimmune diseases (7.5 [4.9, 8.5] ng/ml, P < 0.001). Gal-9 levels were positively correlated with serum TIF1-γ antibody levels ( rs = 0.21, P = 0.029), serum ferritin ( rs = 0.29, P = 0.003), lactate dehydrogenase ( rs = 0.44, P < 0.001), creatine kinase ( rs = 0.28, P = 0.004), aspartate aminotransferase ( rs = 0.42, P < 0.001), C-reactive protein ( rs = 0.34, P < 0.001), and erythrocyte sedimentation rate ( rs = 0.46, P < 0.001). Among CRDM patients, those who had not received cancer treatment had higher Gal-9 levels (30.1 [23.3, 38.3] ng/ml) than those in stable condition after cancer treatment (13.5 [10.5, 27.9] ng/ml, P = 0.007). The area under the ROC curve (AUC) for serum TIF1-γ in diagnosing CRDM was 0.718, with an optimal cutoff value of 23.02 U/ml. The AUC for serum Gal-9 was 0.719, with an optimal cutoff value of 55.02 ng/ml. When combining both markers, the AUC increased to 0.783, with a sensitivity of 0.85 and specificity of 0.74. Conclusions:Gal-9 was highly expressed in serum of DM/CADM patients, particularly in CRDM patients. Dynamic monitoring of Gal-9 in CRDM patients may be helpful to monitor the therapeutic effect of malignancies.

Objective:To investigate the clinical significance of serum galectin-9 (Gal-9) in patients with dermatomyositis (DM) or clinically amyopathic dermatomyositis (CADM) .Methods:This cross-sectional study included 105 newly diagnosed patients with DM or CADM who were admitted to the Department of Dermatology in Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, from January 2015 to October 2024, among whom 53 had cancer-associated DM/CADM (CRDM). Additionally, an age-matched control group was included, consisting of 30 newly diagnosed cancer patients without autoimmune diseases, 27 systemic lupus erythematosus (SLE) patients, and 31 healthy controls. Serum levels of Gal-9 and transcriptional intermediary factor 1-gamma (TIF1-γ) were measured using enzyme-linked immunosorbent assay. The relationship between Gal-9 levels and laboratory indicators of DM disease activity was analyzed. Comparisons between different groups were performed using the t-test, Mann-Whitney U test, and chi-square test. Spearman correlation analysis was used to assess the association between Gal-9 levels and laboratory indicators. The diagnostic efficacy of Gal-9 and TIF1-γ for CRDM was evaluated using receiver operating characteristic (ROC) curve analysis. Results:Among the 105 DM/CADM patients, 35 were male (33.3%) and 70 were female (66.7%), with a mean age of 53.2 ± 15.1 years. In the 53 CRDM patients, the incidence rates of V-neck sign, dyschromia, and dysphagia were higher than those in non-CRDM patients (all P > 0.05). Serum Gal-9 levels in DM/CADM patients (21.2 [12.2, 32.3] ng/ml) were significantly higher than those in healthy controls (6.8 [5.4, 7.9] ng/ml, P < 0.001), SLE patients (12.3 [8.1, 15.5] ng/ml, P = 0.011), and cancer patients without autoimmune diseases (7.5 [4.9, 8.5] ng/ml, P < 0.001). Gal-9 levels were positively correlated with serum TIF1-γ antibody levels ( rs = 0.21, P = 0.029), serum ferritin ( rs = 0.29, P = 0.003), lactate dehydrogenase ( rs = 0.44, P < 0.001), creatine kinase ( rs = 0.28, P = 0.004), aspartate aminotransferase ( rs = 0.42, P < 0.001), C-reactive protein ( rs = 0.34, P < 0.001), and erythrocyte sedimentation rate ( rs = 0.46, P < 0.001). Among CRDM patients, those who had not received cancer treatment had higher Gal-9 levels (30.1 [23.3, 38.3] ng/ml) than those in stable condition after cancer treatment (13.5 [10.5, 27.9] ng/ml, P = 0.007). The area under the ROC curve (AUC) for serum TIF1-γ in diagnosing CRDM was 0.718, with an optimal cutoff value of 23.02 U/ml. The AUC for serum Gal-9 was 0.719, with an optimal cutoff value of 55.02 ng/ml. When combining both markers, the AUC increased to 0.783, with a sensitivity of 0.85 and specificity of 0.74. Conclusions:Gal-9 was highly expressed in serum of DM/CADM patients, particularly in CRDM patients. Dynamic monitoring of Gal-9 in CRDM patients may be helpful to monitor the therapeutic effect of malignancies.

Objective:To construct a clinical-radiomics model based on MRI, and to explore its predictive value for biochemical recurrence (BCR) after radical prostatectomy in prostate cancer patients.Methods:A total of 212 patients with prostate cancer who underwent radical prostatectomy in the First Affiliated Hospital of Soochow University from January 2015 to December 2018 and had complete follow-up data were retrospectively analyzed. The random toolkit of Python language was used to randomly sample the patients at a ratio of 7∶3 without replacement, and they were divided into a training set (149 cases) and a test set (63 cases). The endpoint of follow-up was BCR or at least 3 years. BCR occurred in 50 patients in the training group and 21 patients in the test group. The imaging features of the main lesion area in the preoperative T 2WI, diffusion-weighted imaging and apparent diffusion coefficient map of patients in the training set were extracted, and the unsupervised K means clustering algorithm was used to screen the features. The selected features were fitted by a multivariate Cox regression model, and the radiomics model was constructed. Univariate Cox regression analyses were used to screen the main clinical risk factors associated with BCR, and the clinical-radiomics model was constructed combined with RadScore. In the test set, the time-dependent receiver operating characteristic (ROC) curve was constructed, and the area under the curve (AUC) was calculated to evaluate the predictive efficacy of the radiomics model, clinical-radiomics model and prostate cancer risk assessment after radical resection (CAPRA-S) score for the occurrence of BCR. Harrell consistency index (C-index) was used to evaluate the model to predict BCR consistency. The calibration curve was used to evaluate the degree of variation of the model. The decision curve was used to evaluate the clinical application value of the prediction model. Results:A total of 26 radiomics features were screened to establish the radiomics model. The univariate Cox showed that the preoperative clinical features included preoperative prostate-specific antigen level (HR=1.006, 95%CI 1.002-1.009, P=0.001), Gleason score of biopsy (HR=1.422, 95%CI 1.153-1.753, P=0.001), clinical T stage (HR=1.501, 95%CI 1.238-1.822, P<0.001). The multivariate Cox showed that the RadScore was an independent predictor of BCR after radical prostatectomy (HR=51.214, 95%CI 18.226-143.908, P<0.001). The selected preoperative clinical features were combined with RadScore to construct a clinical-radiomics model. In the test set, the AUCs of the time (3 years)-dependent ROC curves of the radiomics model, the clinical-radiomics model, and the CAPRA-S score were 0.824 (95%CI 0.701-0.948), 0.841 (95%CI 0.714-0.968), and 0.662 (95%CI 0.518-0.806), respectively. The C-index of the radiomics model, clinical-radiomics model and CAPRA-S score were 0.784 (95%CI 0.660-0.891), 0.802 (95%CI 0.637-0.912) and 0.650 (95%CI 0.601-0.821), respectively. The calibration curve showed that the predicted probability and actual probability of BCR by radiomics model, clinical-radiomics model and CAPRA-S score were in good agreement (χ 2=7.64, 10.61, 6.37, P=0.465, 0.225, 0.498). The decision curve showed that the clinical net benefit of the clinical-radiomics model and the radiomics model was significantly higher than the CAPRA-S score. When the threshold probability was 0.20-0.30, 0.40-0.50, and >0.55, the clinical net benefit of the clinical radiomics model was higher than that of the radiomics model. Conclusions:The clinical-radiomics model can effectively predict the occurrence of BCR in patients with prostate cancer after radical prostate ctomy, and the prediction efficacy is better than the radiomics model and CAPRA-S score.

Bacillus subtilis is recognized as a generally-regarded-as-safe strain, and has been widely used in the biosynthesis of high value-added products, including N-acetylneuraminic acid (NeuAc) which is widely used as a nutraceutical and a pharmaceutical intermediate. Biosensors responding to target products are widely used in dynamic regulation and high-throughput screening in metabolic engineering to improve the efficiency of biosynthesis. However, B. subtilis lacks biosensors that can efficiently respond to NeuAc. This study first tested and optimized the transport capacity of NeuAc transporters, and obtained a series of strains with different transport capacities for testing NeuAc-responsive biosensors. Subsequently, the binding site sequence of Bbr_NanR responding to NeuAc was inserted into different sites of the constitutive promoter of B. subtilis, and active hybrid promoters were obtained. Next, by introducing and optimizing the expression of Bbr_NanR in B. subtilis with NeuAc transport capacity, we obtained an NeuAc-responsive biosensor with wide dynamic range and higher activation fold. Among them, P535-N2 can sensitively respond to changes in intracellular NeuAc concentration, with the largest dynamic range (180-20 245) AU/OD. P566-N2 shows a 122-fold of activation, which is 2 times of the reported NeuAc-responsive biosensor in B. subtilis. The NeuAc-responsive biosensor developed in this study can be used to screen enzyme mutants and B. subtilis strains with high NeuAc production efficiency, providing an efficient and sensitive analysis and regulation tool for biosynthesis of NeuAc in B. subtilis.
N-Acetylneuraminic Acid/metabolism* ; Bacillus subtilis/metabolism* ; Promoter Regions, Genetic/genetics* ; Binding Sites ; Biosensing Techniques

After the specific binding of programmed death-1 (PD-1) to programmed death ligand 1 (PD-L1) , the PD-1/PD-L1 complex can exert a co-suppressive/co-stimulatory immunoregulatory effect, which can inhibit the activation and proliferation of T cells and their cytokine secretion, and play a key role in tumor immunity, autoimmunity and immune tolerance. This review summarizes structures and regulatory mechanisms of the PD-1/PD-L1 signaling pathway, aimming to facilitate the understanding of immune pathogenesis of idiopathic inflammatory myopathies complicated by malignant tumors, and to seek potential therapeutic targets and diagnostic strategies.

SAM pointed domain containing E26 transformation-specific transcription factor (SPDEF) plays dual roles in the initiation and development of human malignancies. However, the biological role of SPDEF in head and neck squamous cell carcinoma (HNSCC) remains unclear. In this study, the expression level of SPDEF and its correlation with the clinical parameters of patients with HNSCC were determined using TCGA-HNSC, GSE65858, and our own clinical cohorts. CCK8, colony formation, cell cycle analysis, and a xenograft tumor growth model were used to determine the molecular functions of SPDEF in HNSCC. ChIP-qPCR, dual luciferase reporter assay, and rescue experiments were conducted to explore the potential molecular mechanism of SPDEF in HNSCC. Compared with normal epithelial tissues, SPDEF was significantly downregulated in HNSCC tissues. Patients with HNSCC with low SPDEF mRNA levels exhibited poor clinical outcomes. Restoring SPDEF inhibited HNSCC cell viability and colony formation and induced G0/G1 cell cycle arrest, while silencing SPDEF promoted cell proliferation in vitro. The xenograft tumor growth model showed that tumors with SPDEF overexpression had slower growth rates, smaller volumes, and lower weights. SPDEF could directly bind to the promoter region of NR4A1 and promoted its transcription, inducing the suppression of AKT, MAPK, and NF-κB signaling pathways. Moreover, silencing NR4A1 blocked the suppressive effect of SPDEF in HNSCC cells. Here, we demonstrate that SPDEF acts as a tumor suppressor by transcriptionally activating NR4A1 in HNSCC. Our findings provide novel insights into the molecular mechanism of SPDEF in tumorigenesis and a novel potential therapeutic target for HNSCC.
Carcinogenesis ; Cell Proliferation ; Head and Neck Neoplasms ; Humans ; Nuclear Receptor Subfamily 4, Group A, Member 1 ; Proto-Oncogene Proteins c-ets ; Squamous Cell Carcinoma of Head and Neck ; Transcription Factors

Objective:To investigate the measurement of small airways by high-resolution CT and image post-processing software. Screen and analyze the reconstructed airway parameters in order to find the best imaging biomarker parameters of small airway changes and calculate the reference value range; meanwhile, explore its influencing factors.Methods:From a water plant and a medical school, 169 cases of the general population aged 20 to 60 were selected as research objects, and questionnaire surveys and CT tests were performed, and CT data were reconstructed with image post-processing software. The reference value range of the general population was evaluated, and a linear mixed effect model was used to adjust the age, gender, height, BMI, and smoking status, and analyze the influencing factors of airway parameters.Results:The ratio of sixth-grade tracheal wall area to total tracheal area in the Left B1+2 to carina was (53.01±13.35) %, Left B9 to carina was (50.44±12.98) %, Right B1 to carina was (52.73±12.22) %, and Right B9 to carina was (52.93±11.85) %. The ratio of nineth-grade tracheal wall area to total tracheal area in the Left B1+2 to carina was (44.08±14.66) %, Left B9 to carina was (42.44±15.89) %, Right B1 to carina was (46.51±14.03) %, and Right B9 to carina is (43.54±15.87) %. BMI affect the area of the tracheal wall, all p value<0.05.Conclusion:High-resolution CT small airway morphology can make a preliminary assessment of the susceptible population of small airway-related diseases based on a range of reference values, and prevent and control it in combination with influencing factors.

Objective:To investigate the measurement of small airways by high-resolution CT and image post-processing software. Screen and analyze the reconstructed airway parameters in order to find the best imaging biomarker parameters of small airway changes and calculate the reference value range; meanwhile, explore its influencing factors.Methods:From a water plant and a medical school, 169 cases of the general population aged 20 to 60 were selected as research objects, and questionnaire surveys and CT tests were performed, and CT data were reconstructed with image post-processing software. The reference value range of the general population was evaluated, and a linear mixed effect model was used to adjust the age, gender, height, BMI, and smoking status, and analyze the influencing factors of airway parameters.Results:The ratio of sixth-grade tracheal wall area to total tracheal area in the Left B1+2 to carina was (53.01±13.35) %, Left B9 to carina was (50.44±12.98) %, Right B1 to carina was (52.73±12.22) %, and Right B9 to carina was (52.93±11.85) %. The ratio of nineth-grade tracheal wall area to total tracheal area in the Left B1+2 to carina was (44.08±14.66) %, Left B9 to carina was (42.44±15.89) %, Right B1 to carina was (46.51±14.03) %, and Right B9 to carina is (43.54±15.87) %. BMI affect the area of the tracheal wall, all p value<0.05.Conclusion:High-resolution CT small airway morphology can make a preliminary assessment of the susceptible population of small airway-related diseases based on a range of reference values, and prevent and control it in combination with influencing factors.

OBJECTIVE:To evaluate the efficacy and safety of Yupingfeng powder combined with second- generation antihistamines versus second-generation antihistamines for chronic urticaria(CU)systematically,and to provide evidence-based reference for clinical treatment for CU. METHODS:Retrieved from PubMed,Embase,The Cochrane Library,CJFD,VIP and CBM,RCT about therapeutic efficacy(total response rate,cure rate,recurrence rate)and safety(the incidence of ADR)of Yupingfeng combined with second-generation antihistamines(trial group)versus second-generation antihistamines(control group) in the treatment of CU were collected. The data extraction was performed for included clinical studies,and Meta-analysis was performed by using Rev Man 5.3 statistical software after quality evaluation with Cochrane Handbook 5.1.0 evaluation criteria. RESULTS:A total of 34 RCTs were enrolled,involved 3 405 patients in total. Results of Meta-analysis showed that the total response rate [OR=4.02,95%CI(3.03,5.34),P<0.001],cure rate [OR=2.25,95%CI(1.95,2.60),P<0.001] and recurrence rate [OR=0.33,95%CI(0.26,0.42),P<0.001] of trial group were significantly better than those of control group,with statistical significance. There was no statistical significance in the incidence of ADR between 2 groups [OR=0.98,95%CI(0.71,1.37),P=0.92]. CONCLUSIONS:For CU therapy,Yupingfeng powder combined with second-generation antihistamines is better than second-generation antihistamines alone in improving total response rate and cure rate,reducing recurrence rate,both have similar safety.