OBJECTIVES: To explore the mechanism of Shuangshu Decoction (SSD) for inhibiting growth of gastric cancer xenografts in nude mice. METHODS: Network pharmacology analysis was conducted to identify the common targets of SSD and gastric cancer cell ferroptosis, and bioinformatics analysis and molecular docking were used to validate the core targets. In the cell experiment, AGS cells were treated with SSD-medicated serum, Fer-1 (a ferroptosis inhibitor), or both, and the changes in cell viability, ferroptosis markers (ROS, Fe²⁺ and GSH), expressions of P53, SLC7A11 and GPX4, and mitochondrial morphology were examined. In a nude mouse model bearing gastric cancer xenografts, the effects of gavage with SSD, intraperitoneal injection of Fer-1, or their combination on tumor volume/weight, histopathology, and expressions of P53, SLC7A11 and GPX4 levels were evaluated. RESULTS: The active components in SSD (quercetin and wogonin) showed strong binding affinities to P53. In AGS cells, SSD treatment dose-dependently inhibited cell proliferation, increased ROS and Fe²⁺ levels, upregulated P53 expression, and downregulated the expressions of SLC7A11 and GPX4, but these effects were effectively attenuated by Fer-1 treatment. SSD also induced mitochondrial shrinkage and increased the membrane density, which were alleviated by Fer-1. In the tumor-bearing mouse models, gavage with SSD significantly reduced tumor size and weight, caused tumor cell necrosis, upregulated P53 and downregulated SLC7A11 and GPX4 expression in the tumor tissue, and these effects were obviously mitigated by Fer-1 treatment. CONCLUSIONS SSD inhibits gastric cancer growth in nude mice by inducing cell ferroptosis via the P53/SLC7A11/GPX4 axis.
Ferroptosis/drug effects* ; Animals ; Stomach Neoplasms/metabolism* ; Tumor Suppressor Protein p53/metabolism* ; Mice, Nude ; Phospholipid Hydroperoxide Glutathione Peroxidase ; Drugs, Chinese Herbal/pharmacology* ; Humans ; Amino Acid Transport System y+/metabolism* ; Mice ; Cell Line, Tumor ; Cell Proliferation/drug effects* ; Xenograft Model Antitumor Assays

Objective To optimize the extraction process of chlorogenic acid and three other organic acids from Picris hieracioides L.with deep eutectic solvents using response surface methodology.Methods By comparing the extraction rate of organic acids in seven deep eutectic solvents,the best solvent combinations were identified,and the optimal extraction process of organic acids from Picris hieracioides L.was obtained by optimizing the liquid/feed ratio,extraction temperature,extraction time and other parameters using the response surface method on the basis of a one-way experiment.Results The deep eutectic solvent with 30%water content(choline chloride∶urea=1∶2)was effective in extracting organic acids from Picris hieracioides L.The optimal extraction process optimized by response surface method was:extraction temperature 30℃,extraction time 30 min,liquid-solid ratio 20∶1(mL·g-1),the extraction rate of organic acids under this condition was 1.092 9%.Conclusion The deep eutectic solvent optimized through response surface methodology is an efficient,green and eco-friendly extraction method.This study provides a theoretical foundation for the subsequent development and utilization of Picris hieracioides L..

Objective:A nomogram model for predicting double positivity of microvascular invasion (MVI) and vascular endothelial-to-mesenchymal transition (VETC) in patients with hepatocellular carcinoma (HCC) was constructed and its predictive performance was evaluated.Methods:A retrospective analysis was conducted on 326 HCC patients who were treated at the Third People's Hospital of Nantong and the First Affiliated Hospital of Soochow University from January 2013 to June 2023, including 240 males and 86 females, with an average age of (58.7±9.0) years. The 326 patients were randomly divided into a training set ( n=228) and a test set ( n=98) at a ratio of 7: 3 using the random number table method. The training set was divided into a double-positive group ( n=54) and a control group ( n=174) based on whether the HCC patients were double positive for MVI and VETC. Univariate and multivariate logistic regression analyses were performed to identify the influencing factors of double positivity of microvascular invasion in HCC patients, and a nomogram for predicting double positivity of microvascular invasion patterns was constructed based on the multivariate. The predictive performance and clinical net benefit of the nomogram were evaluated using the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis. Results:There were statistically significant differences in alpha-fetoprotein, gamma-glutamyl transferase, and phosphatidylinositol proteoglycan between the two groups (all P<0.05). Multivariate logistic regression analysis showed that LI-RADS category ( OR=8.58, 95% CI: 1.87-39.38), intratumoral hemorrhage ( OR=2.16, 95% CI: 1.14-4.07), and intratumoral arteries ( OR=2.59, 95% CI: 1.19-5.64) were all influencing factors of double positivity of microvascular invasion patterns in HCC patients (all P<0.05). Based on the multivariate results, a nomogram was constructed. In the training set, the area under the ROC curve for predicting double positivity of microvascular invasion patterns in HCC patients was 0.769 (95% CI: 0.720-0.814). In the test set, the area under the ROC curve for predicting double positivity of microvascular invasion patterns in HCC patients was 0.756 (95% CI: 0.622-0.850). The calibration curve showed a good fit between the predicted model and the ideal curve. Decision curve analysis showed that the clinical applicability was good when the threshold was 0.01-0.80 in the training set and 0.01-0.65 in the test set. Conclusion:The nomogram model based on LI-RADS category, intratumoral hemorrhage, and intratumoral arteries can effectively predict double positivity of microvascular invasion patterns in HCC patients and has good clinical applicability.

With the increasing severity of bacterial antibiotic resistance， finding new ways to overcome this global challenge has become an urgent task. Chinese medicine， with abundant resources， offers potential for discovering diverse bioactive ingredients to enhance antibiotic efficacy and alleviate the crisis of bacterial antibiotic resistance. This review summarizes bacterial resistance mechanisms， prevention strategies， and the roles and mechanisms of Chinese medicine and its active ingredients in enhancing the efficacy of existing antibiotics. Two major resistance mechanisms—bacterial obstruction of antibiotic uptake and weakening of intracellular antibiotic activity—are introduced， with corresponding prevention and control strategies outlined. Based on the regulatory effects of active ingredients from Chinese medicine on bacteria， their mechanisms for enhancing antibiotic efficacy are categorized into two types， including improving the bacterial uptake of antibiotics and reducing the bacterial resistance to antibiotics. The former mainly enhances extracellular antibiotic uptake by regulating membrane permeability， biofilm formation， and metabolic pathways. The latter weakens intracellular antibiotic resistance by inhibiting efflux pumps and bacterial resistance targets. Furthermore， compound formulas of Chinese medicine， characterized by multi-component， multi-target， and multi-pathway interventions， exert similar antimicrobial effects and mechanisms with active ingredients， offering rich resources for developing antibiotic-enhancing applications. Finally， the review highlights the challenges such as insufficient structural research on active ingredients and potential druggability issues in their application for antibiotic enhancement. This will provide insights for advancing the research on Chinese active ingredients in antibiotic therapy and offers novel strategies to combat bacterial antibiotic resistance.

With the increasing severity of bacterial antibiotic resistance， finding new ways to overcome this global challenge has become an urgent task. Chinese medicine， with abundant resources， offers potential for discovering diverse bioactive ingredients to enhance antibiotic efficacy and alleviate the crisis of bacterial antibiotic resistance. This review summarizes bacterial resistance mechanisms， prevention strategies， and the roles and mechanisms of Chinese medicine and its active ingredients in enhancing the efficacy of existing antibiotics. Two major resistance mechanisms—bacterial obstruction of antibiotic uptake and weakening of intracellular antibiotic activity—are introduced， with corresponding prevention and control strategies outlined. Based on the regulatory effects of active ingredients from Chinese medicine on bacteria， their mechanisms for enhancing antibiotic efficacy are categorized into two types， including improving the bacterial uptake of antibiotics and reducing the bacterial resistance to antibiotics. The former mainly enhances extracellular antibiotic uptake by regulating membrane permeability， biofilm formation， and metabolic pathways. The latter weakens intracellular antibiotic resistance by inhibiting efflux pumps and bacterial resistance targets. Furthermore， compound formulas of Chinese medicine， characterized by multi-component， multi-target， and multi-pathway interventions， exert similar antimicrobial effects and mechanisms with active ingredients， offering rich resources for developing antibiotic-enhancing applications. Finally， the review highlights the challenges such as insufficient structural research on active ingredients and potential druggability issues in their application for antibiotic enhancement. This will provide insights for advancing the research on Chinese active ingredients in antibiotic therapy and offers novel strategies to combat bacterial antibiotic resistance.

Objective To explore the mechanism of Shuangshu Decoction(SSD)for inhibiting growth of gastric cancer xenografts in nude mice.Methods Network pharmacology analysis was conducted to identify the common targets of SSD and gastric cancer cell ferroptosis,and bioinformatics analysis and molecular docking were used to validate the core targets.In the cell experiment,AGS cells were treated with SSD-medicated serum,Fer-1(a ferroptosis inhibitor),or both,and the changes in cell viability,ferroptosis markers(ROS,Fe2+and GSH),expressions of P53,SLC7A11 and GPX4,and mitochondrial morphology were examined.In a nude mouse model bearing gastric cancer xenografts,the effects of gavage with SSD,intraperitoneal injection of Fer-1,or their combination on tumor volume/weight,histopathology,and expressions of P53,SLC7A11 and GPX4 levels were evaluated.Results The active components in SSD(quercetin and wogonin)showed strong binding affinities to P53.In AGS cells,SSD treatment dose-dependently inhibited cell proliferation,increased ROS and Fe2+levels,upregulated P53 expression,and downregulated the expressions of SLC7A11 and GPX4,but these effects were effectively attenuated by Fer-1 treatment.SSD also induced mitochondrial shrinkage and increased the membrane density,which were alleviated by Fer-1.In the tumor-bearing mouse models,gavage with SSD significantly reduced tumor size and weight,caused tumor cell necrosis,upregulated P53 and downregulated SLC7A11 and GPX4 expression in the tumor tissue,and these effects were obviously mitigated by Fer-1 treatment.Conclusion SSD inhibits gastric cancer growth in nude mice by inducing cell ferroptosis via the P53/SLC7A11/GPX4 axis.

The incidence of digestive system diseases is high. So digestive system pathology is widely concerned. In the past 10 years, Chinese pathologists insist on hard work and have made significant progress. This article reviews the research and practice progress in digestive system tumors and non-tumors in the past 10 years, including the establishment of diagnostic criteria for gastrointestinal tract, hepatobiliary and pancreatic diseases, the establishment and classification of new diseases with special morphology, the classification and standard update of gastrointestinal and pancreatic neuroendocrine tumors, the progress of molecular pathology, and non-tumor lesions of the digestive system. The future development trend of digestive system pathology is also prospected.

Objective To optimize the extraction process of chlorogenic acid and three other organic acids from Picris hieracioides L.with deep eutectic solvents using response surface methodology.Methods By comparing the extraction rate of organic acids in seven deep eutectic solvents,the best solvent combinations were identified,and the optimal extraction process of organic acids from Picris hieracioides L.was obtained by optimizing the liquid/feed ratio,extraction temperature,extraction time and other parameters using the response surface method on the basis of a one-way experiment.Results The deep eutectic solvent with 30%water content(choline chloride∶urea=1∶2)was effective in extracting organic acids from Picris hieracioides L.The optimal extraction process optimized by response surface method was:extraction temperature 30℃,extraction time 30 min,liquid-solid ratio 20∶1(mL·g-1),the extraction rate of organic acids under this condition was 1.092 9%.Conclusion The deep eutectic solvent optimized through response surface methodology is an efficient,green and eco-friendly extraction method.This study provides a theoretical foundation for the subsequent development and utilization of Picris hieracioides L..

The incidence of digestive system diseases is high. So digestive system pathology is widely concerned. In the past 10 years, Chinese pathologists insist on hard work and have made significant progress. This article reviews the research and practice progress in digestive system tumors and non-tumors in the past 10 years, including the establishment of diagnostic criteria for gastrointestinal tract, hepatobiliary and pancreatic diseases, the establishment and classification of new diseases with special morphology, the classification and standard update of gastrointestinal and pancreatic neuroendocrine tumors, the progress of molecular pathology, and non-tumor lesions of the digestive system. The future development trend of digestive system pathology is also prospected.

Objective:A nomogram model for predicting double positivity of microvascular invasion (MVI) and vascular endothelial-to-mesenchymal transition (VETC) in patients with hepatocellular carcinoma (HCC) was constructed and its predictive performance was evaluated.Methods:A retrospective analysis was conducted on 326 HCC patients who were treated at the Third People's Hospital of Nantong and the First Affiliated Hospital of Soochow University from January 2013 to June 2023, including 240 males and 86 females, with an average age of (58.7±9.0) years. The 326 patients were randomly divided into a training set ( n=228) and a test set ( n=98) at a ratio of 7: 3 using the random number table method. The training set was divided into a double-positive group ( n=54) and a control group ( n=174) based on whether the HCC patients were double positive for MVI and VETC. Univariate and multivariate logistic regression analyses were performed to identify the influencing factors of double positivity of microvascular invasion in HCC patients, and a nomogram for predicting double positivity of microvascular invasion patterns was constructed based on the multivariate. The predictive performance and clinical net benefit of the nomogram were evaluated using the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis. Results:There were statistically significant differences in alpha-fetoprotein, gamma-glutamyl transferase, and phosphatidylinositol proteoglycan between the two groups (all P<0.05). Multivariate logistic regression analysis showed that LI-RADS category ( OR=8.58, 95% CI: 1.87-39.38), intratumoral hemorrhage ( OR=2.16, 95% CI: 1.14-4.07), and intratumoral arteries ( OR=2.59, 95% CI: 1.19-5.64) were all influencing factors of double positivity of microvascular invasion patterns in HCC patients (all P<0.05). Based on the multivariate results, a nomogram was constructed. In the training set, the area under the ROC curve for predicting double positivity of microvascular invasion patterns in HCC patients was 0.769 (95% CI: 0.720-0.814). In the test set, the area under the ROC curve for predicting double positivity of microvascular invasion patterns in HCC patients was 0.756 (95% CI: 0.622-0.850). The calibration curve showed a good fit between the predicted model and the ideal curve. Decision curve analysis showed that the clinical applicability was good when the threshold was 0.01-0.80 in the training set and 0.01-0.65 in the test set. Conclusion:The nomogram model based on LI-RADS category, intratumoral hemorrhage, and intratumoral arteries can effectively predict double positivity of microvascular invasion patterns in HCC patients and has good clinical applicability.