Objective To characterize the properties of Hepa1-6-derived microparticles (Hepa1-6-MPs), investigate their stimulatory effects on dendritic cells (DCs) and their cellular uptake pathways, and explore the specific cytotoxic effects of CD8⁺ T cells induced by Hepa1-6-MP-loaded DCs on hepatoma cell lines, with the aim of developing a novel immunotherapeutic model for hepatocellular carcinoma (HCC). Methods The isolated Hepa1-6-MPs were identified using Western blotting, transmission electron microscopy (TEM) and dynamic light scattering (DLS). Flow cytometry was used to assess the uptake pathways of Hepa1-6-MPs by DCs. Subsequently, enzyme-linked immunosorbent assay (ELISA) was used to measure the effects of Hepa1-6-MP-loaded DCs on the release levels of tumor necrosis factor α(TNF-α) and interferon γ(IFN-γ) into the supernatant of CD8⁺ T cells. Lactate dehydrogenase (LDH) tests were conducted to evaluate the cytotoxic effects of CD8⁺ T cells stimulated by Hepa1-6-MP-loaded DCs on hepatoma cells. Results The morphology, size and protein markers of Hepa1-6-MPs met the established criteria. Hepa1-6-MPs enhanced the expression of DC maturation markers CD80 and CD86, and were internalized by DCs via clathrin-mediated endocytosis and phagocytosis pathways. Subsequently, Hepa1-6-MP-loaded DCs stimulated CD8⁺ T cells to release high levels of TNF-α and IFN-γ, which induced their specific cytotoxicity against HCC cells. Conclusion These findings suggest that Hepa1-6-MP-loaded DCs may be a promising HCC immunotherapeutic tool.
Carcinoma, Hepatocellular/therapy* ; Liver Neoplasms/therapy* ; Dendritic Cells/immunology* ; Humans ; Cancer Vaccines/immunology* ; CD8-Positive T-Lymphocytes/immunology* ; Cell Line, Tumor ; Tumor Necrosis Factor-alpha/immunology* ; Interferon-gamma/immunology* ; Cell-Derived Microparticles/immunology* ; Animals

Objective To compare the performance and efficacy of prognostic models constructed by different machine learning algorithms in predicting the survival period of lung transplantation (LTx) recipients. Methods Data from 483 recipients who underwent LTx were retrospectively collected. All recipients were divided into a training set and a validation set at a ratio of 7:3. The 24 collected variables were screened based on variable importance (VIMP). Prognostic models were constructed using random survival forest (RSF) and extreme gradient boosting tree (XGBoost). The performance of the models was evaluated using the integrated area under the curve (iAUC) and time-dependent area under the curve (tAUC). Results There were no significant statistical differences in the variables between the training set and the validation set. The top 15 variables ranked by VIMP were used for modeling and the length of stay in the intensive care unit (ICU) was determined as the most important factor. Compared with the XGBoost model, the RSF model demonstrated better performance in predicting the survival period of recipients (iAUC 0.773 vs. 0.723). The RSF model also showed better performance in predicting the 6-month survival period (tAUC _{6 months} 0.884 vs. 0.809, P = 0.009) and 1-year survival period (tAUC _{1 year} 0.896 vs. 0.825, P = 0.013) of recipients. Based on the prediction cut-off values of the two algorithms, LTx recipients were divided into high-risk and low-risk groups. The survival analysis results of both models showed that the survival rate of recipients in the high-risk group was significantly lower than that in the low-risk group (P<0.001). Conclusions Compared with XGBoost, the machine learning prognostic model developed based on the RSF algorithm may preferably predict the survival period of LTx recipients.

Lung transplantation is currently the only recognized effective treatment for end-stage lung disease and has improved the quality of life for patients. However, lung transplantation still faces many challenges, including rejection, infection, post-transplant acute kidney injury, post-transplant diabetes mellitus, ischemia-reperfusion injury and donor shortage, etc. Chinese lung transplantation scholars made a series of important progress in the field of clinical research in 2024, focusing on the study and solution of the above problems, and providing new ideas for lung transplantation surgery. This article systematically reviews the clinical research and technological innovation in the field of lung transplantation in 2024, summarizes the achievements of clinical research in the field of lung transplantation in China in 2024, and aims to providing new directions and strategies for future research.

Lung transplantation is the optimal treatment for end-stage lung diseases and can significantly improve prognosis of the patients. However, postoperative complications such as infection, rejection, ischemia-reperfusion injury, and other challenges (like shortage of donor lungs) , limit the practical application of lung transplantation in clinical practice. Chinese research teams have been making continuous efforts and have achieved breakthroughs in basic research on lung transplantation by integrating emerging technologies and cutting-edge achievements from interdisciplinary fields, which has strongly propelled the development of this field. This article will comprehensively review the academic progress made by Chinese research teams in the field of lung transplantation in 2024, with a focus on the achievements of Chinese teams in basic research on lung transplantation. It aims to provide innovative ideas and strategies for key issues in the basic field of lung transplantation and to help China's lung transplantation cause reach a higher level.

Objective:To discuss the associations of mismatch repair(MMR)in gastric cancer with preoperative inflammatory indicators and clinicopathological features in the gastric cancer patients,and to construct a gastric cancer MMR predictive model based on preoperative inflammatory indicators and clinicopathological features of the gastric cancer patients,and to provide new ideas for evaluation of MMR status in gastric cancer.Methods:The data of 254 gastric cancer patients who underwent surgical treatment from September 2020 to October 2023 were included.According to the expression of MMR protein,the patients were divided into MMR normal(proficiout MMR,pMMR)group and MMR deficient(dMMR)group.The preoperative inflammatory indicators and clinicopathological features data of the gastric cancer patients in two groups were collected.The associations between inflammatory indicators,clinicopathological features,and MMR in dMMR group and pMMR group were analyzed using Chi-square test.The independent predictive factors for dMMR were selected to construct the nomogram.Receiver operating characteristic(ROC)curve and calibration curve were used to evaluate the predictive efficacy,and decision curve was used to evaluate the practicality of the predication model.Results:A total of 254 gastric cancer patients were included in the study,with 221 patients(87％)in pMMR group and 33 patients(13％)in dMMR group.There were statistically significant differences(P＜0.05)in age,tumor location,tumor differentiation degree,maximum tumor diameter,platelet-to-lymphocyte ratio(PLR),alkaline phosphatase(AKP),alkaline phosphatase-to-albumin ratio(AAR),fibrinogen(FB)-to-lymphocyte(FLR),FB-to-albumin(AL)(FAR),D-dimer(D-D),and FB of the gastric cancer patients between dMMR group and pMMR group.Univariate and multivariate Logistic regression analysis revealed maximum tumor diameter[odd ratio(OR)=2.958,95％confidence interval(CI):1.196-7.314,P=0.019],tumor location(OR=4.013,95％CI:1.596-10.089,P=0.003),tumor differentiation(OR=3.006,95％CI:1.250-7.230,P=0.014),FAR(OR=2.793,95％CI:1.179-6.616,P=0.020),and carbohydrate antigen 199(CA199)(OR=0.279,95％CI:0.084-0.929,P-0.038)were the independent predictors of dMMR.The area under the ROC curve(AUC)value of the gastric cancer MMR prediction model constructed based on inflammatory indicators and clinical pathological characteristics was 0.800 with the sensitivity of 0.851 and the specificity of 0.606.The calibration curve of the nomogram was found to fit the ideal curve well,and in Hosmer-Lemeshow test P=0.412,the clinical decision curve showed a better net benefit.Conclusion:The preoperative inflammatory indicators and clinicopathological features are associated with MMR in gastric cancer;maximum tumor diameter,tumor location,tumor differentiation,CA199,and FAR are the independent predictors of dMMR.The prediction model based on the above predictors could predict the MMR status of the dMMR gastric cancer patients.

Objective To establish an HPLC method to determine the concentration of inositol nicotinate（IN） in rat skin, and study the pharmacokinetic characteristics of IN after transdermal administration of heparin sodium inositol nicotinate cream in rats. Methods HPLC method was used to establish a simple and rapid analytical method for the determination of IN concentration in the skin of rats at different time points after administration. The established method was used to study the pharmacokinetics of IN after transdermal administration of heparin sodium inositol nicotinate cream in rats, and the pharmacokinetic parameters were fitted with DAS software. Results The linearity of the analytical method was good in the concentration range of 0.25-20 μg/ml, the quantitative limit was 0.25 μg/ml, and the average recovery rate was 96.18%. The pharmacokinetic parameters of IN after transdermal administration of heparin sodium inositol nicotinate cream in rats were as follows: t_1/2 was （4.555±2.054） h, T_max was （6±0）h, C_max was （16.929±2.153）mg/L, AUC_0−t was （150.665±16.568） mg·h /L ,AUC_0−∞ was （161.074±23.917） mg·h /L, MRT_（0−t） was （9.044±0.618）h, MRT_{（0−∞）} was （10.444±1.91） h, CLz/F was （0.19±0.03） L/（h·kg）, and Vz/F was （1.19±0.437） L/（h·kg）. Conclusion IN could quickly penetrate the skin and accumulate in the skin for a long time, which was beneficial to the pharmacological action of drugs on the lesion site for a long time. The method is simple, rapid, specific and reproducible, which could be successfully applied to the pharmacokinetic study of IN after transdermal administration in rats.

Evidence-based treatment strategies for patients with cardiovascular disease and diabetes have been updated in recent years. However, substantial gaps remain between guideline recommendations and clinical practice, which justify the urgent need to improve the quality of care for patients with these conditions. The Chinese Society of Cardiology and the Chinese Society of Diabetes, in collaboration with the American Heart Association and the American Diabetes Association, designed the China Diabetes Cardiovascular project. The China Diabetes Cardiovascular project is a nationwide registry study aimed at improving the quality of care for patients with acute coronary syndrome and diabetes in China. Launched in 2021, this project has enrolled 36 hospitals across mainland China. Patients with a primary discharge diagnosis of comorbid acute coronary syndrome and diabetes will be eligible to participate. Pre-defined performance measures will be adopted to evaluate the quality of care for these patients. Multiple quality improvement strategies will be adopted, including providing monthly quality reports based on these measures, conducting a series of training courses, and distributing educational materials. A comprehensive dataset, encompassing patients' characteristics, medical history, treatment before and during the current hospitalization, and discharge medications for secondary prevention, will be collected through a web-based data collection platform. This project has the potential to improve the quality of care and reduce the care disparities in the management of patients with these diseases. Moreover, with its comprehensive data collection, this project will provide a strong foundation for exploring key clinical questions.

Evidence-based treatment strategies for patients with cardiovascular disease and diabetes have been updated in recent years. However, substantial gaps remain between guideline recommendations and clinical practice, which justify the urgent need to improve the quality of care for patients with these conditions. The Chinese Society of Cardiology and the Chinese Society of Diabetes, in collaboration with the American Heart Association and the American Diabetes Association, designed the China Diabetes Cardiovascular project. The China Diabetes Cardiovascular project is a nationwide registry study aimed at improving the quality of care for patients with acute coronary syndrome and diabetes in China. Launched in 2021, this project has enrolled 36 hospitals across mainland China. Patients with a primary discharge diagnosis of comorbid acute coronary syndrome and diabetes will be eligible to participate. Pre-defined performance measures will be adopted to evaluate the quality of care for these patients. Multiple quality improvement strategies will be adopted, including providing monthly quality reports based on these measures, conducting a series of training courses, and distributing educational materials. A comprehensive dataset, encompassing patients' characteristics, medical history, treatment before and during the current hospitalization, and discharge medications for secondary prevention, will be collected through a web-based data collection platform. This project has the potential to improve the quality of care and reduce the care disparities in the management of patients with these diseases. Moreover, with its comprehensive data collection, this project will provide a strong foundation for exploring key clinical questions.

Tetrandrine(TET),a natural bisbenzyl isoquinoline alkaloid extracted from Stephania tetrandra S.Moore,has diverse pharmacological effects.However,its effects on melanoma remain unclear.Cellular prolif-eration assays,multi-omics analyses,and xenograft models were used to determine the effect of TET on melanoma.The direct target of TET was identified using biotin-TET pull-down liquid chromatograph-mass spectrometry(LC-MS),cellular thermal shift assays,and isothermal titration calorimetry(ITC)analysis.Our findings revealed that TET treatment induced robust cellular autophagy depending on activating transcription factor 6(ATF6)-mediated endoplasmic reticulum(ER)stress.Simultaneously,it hindered autophagic flux by inducing cytoskeletal protein depolymerization in melanoma cells.TET treatment resulted in excessive accumulation of reactive oxygen species(ROS)and simultaneously triggered mitophagy.Sirtuin 5(SIRT5)was ultimately found to be a direct target of TET.Mechanistically,TET led to the degradation of SIRT5 via the ubiquitin(Ub)-26S proteasome system.SIRT5 knockdown induced ROS accumulation,whereas SIRT5 overexpression attenuated the TET-induced ROS accumula-tion and autophagy.Importantly,TET exhibited anti-cancer effects in xenograft models depending on SIRT5 expression.This study highlights the potential of TET as an antimelanoma agent that targets SIRT5.These findings provide a promising avenue for the use of TET in melanoma treatment and underscore its potential as a therapeutic candidate.

Autophagy is a cellular self-degradation process essential for maintaining metabolic functions in cells and organisms.Dysfunc-tional autophagy has been linked to various diseases,including cancer.The m6A modification,a major RNA modification in eukaryotes,plays a crucial role in regulating autophagy in tumor cells by regulating the expression of autophagy-associated genes(ATGs)or interfering with autophagy-related signaling pathways.Aberrant m6A modification can lead to dysregulated autophagy and impact tumor progression.However,the specific role of m6A in regulating tumor autophagy remains to be explored.Therefore,in this review,we discuss the role of m6A modification in tumor cell autophagy and examine its relationship with tumor progression and drug resistance,aiming to provide a the-oretical foundation for developing new therapeutic strategies.