ObjectiveTo construct a multifunctional liposomal delivery system by replacing cholesterol（Chol） in conventional liposomes with saikosaponin D（SSD） and modifying with poloxamer 407（P407） for co-delivery of curcumin（Cur）. The system was evaluated for in vivo tumor targeting and inhibitory effects on mouse subcutaneous solid tumors. MethodsSingle-factor and orthogonal tests combined with information entropy weighting were used to optimize the formulation process of the liposome with encapsulation efficiency and absolute Zeta potential as indexes， and validation studies and liposomal characterization were performed. A subcutaneous solid tumor model was established by injecting H22 hepatocellular carcinoma cells subcutaneously into the dorsal surface of the right forelimb of mice. DiR-loaded traditional Chol liposomes（P407-DiR-Chol-LPs， PDCL） and novel SSD-based liposomes（P407-DiR-SSD-LPs， PDSL） were prepared by the optimized formulation process， and tail vein injection was performed to investigate the impact of SSD on liposome tumor targeting with small animal in vivo imaging. Mice were randomly divided into eight groups， including blank group， model group， free doxorubicin（DOX） group（2 mg·kg^-1）， free Cur group（8 mg·kg^-1）， free SSD group（10 mg·kg^-1）， P407-Cur-Chol-LPs（PCCL） group， P407-SSD-LPs（PSL） group， and P407-Cur-SSD-Lps（PCSL） group. Treatments were administered intraperitoneally every other day for seven doses. Antitumor efficacy and biocompatibility were evaluated by monitoring body weight change， organ indices， tumor volume and mass， relative tumor proliferation rate（T/C）， and tumor growth inhibition rate（TGI）. Histopathological analysis of liver， kidney， and tumor tissues was performed using hematoxylin-eosin（HE） staining. Serum levels of aspartate aminotransferase（AST）， alanine aminotransferase （ALT）， blood urea nitrogen（BUN）， and creatinine（Crea）in mice were quantified by fully automated biochemical analyzer. ResultsOrthogonal test yielded optimal ratios of Cur， SSD， and P407 to soybean phosphatidylcholine（SPC） as 1∶25， 1∶20， and 1∶4. The optimized PCSL exhibited spherical morphology with a particle size of 179.15 nm， a Zeta potential of -47.25 mV， and an encapsulation efficiency of 96.40%. Its in vitro release profile conformed to first-order kinetics， demonstrating excellent storage stability and hemocompatibility. In vivo imaging revealed that the fluorescence signal in tumor tissues and the fluorescence intensity ratio between tumors and organs were significantly higher in the PDSL group than in the PDCL group（P<0.05， P<0.01）. Among the treatment groups， PCSL group showed superior efficacy over free Cur group， free SSD group， PCCL group， and PSL group， with TGI>40% and T/C<60%， indicating pronounced anti-hepatocellular carcinoma effects（P<0.05， P<0.01）. Histopathology and serum biochemistry indicated minimal hepatorenal toxicity and improved hepatic and renal function in PCSL-treated mice. ConclusionReplacing Chol with SSD in preparing multifunctional drug delivery systems not only stabilizes liposomes but also yields superior anti-hepatocellular carcinoma efficacy， achieving the effect of drug-excipient integration. Co-delivery of Cur via this system can be used for treating subcutaneous solid tumors in hepatocellular carcinoma， providing new insights and technical approaches for anti-hepatocellular carcinoma research and the meridian-guiding and messenger-directing theory in traditional Chinese medicine.

ObjectiveTo explore the effect and mechanism of Taishan Panshi powder （TSPSP） on inhibiting oxidative stress injury in human chorionic trophoblast cells （HTR-8/SVneo）， and to uelucidate the underlying mechanism of TSPSP in the treatment of spontaneous abortion （SA）. MethodsGene differential analysis of SA was performed using the Gene Expression Omnibus （GEO） database and correlated with oxidative stress. Network pharmacology was employed to screen the active components of TSPSP， and a "Chinese medicine-component-target-disease" network was constructed to predict the mechanism of action of TSPSP. For in vitro validation experiments， HTR-8/SVneo cells were divided into blank group， model group， TSPSP-containing serum 2.5%， 5%， 10% groups， and nuclear factor E₂-related factor 2 （Nrf2） inhibitor group （ML385， 30 μmol·L^-1）. Except for the blank group， other groups were stimulated with 150 μmol·L^-1 H₂O₂ for 3 h to establish a cell oxidative stress injury model. After successful modeling， the blank group and model group were given 10% blank serum， each TSPSP-containing serum group was treated with the corresponding concentration of drug-containing serum， and the Nrf2 inhibitor group was additionally given 30 μmol·L^-1 ML385 on the basis of 10% TSPSP-containing serum. All groups of cells were continuously cultured under the above conditions for 24 h， and then samples were collected for subsequent detection. Cell viability in each group was detected by CCK-8 assay. Cell migration rate was detected by scratch test. The contents of malondialdehyde （MDA）， Fe²⁺， and Glutathione （GSH） were detected by enzyme-linked immunosorbent assay （ELISA）. Intracellular reactive oxygen species （ROS） level was detected by a fluorescent probe （DCF-DA）. The protein and mRNA expression levels of Kelch-like ECH-associated protein 1 （KEAP1）， Nrf2， and forkhead box protein O3 （FoxO3） in cells were detected by immunofluorescence （IF） and real-time quantitative polymerase chain reaction （Real-time PCR）. The protein expression levels of KEAP1， Nrf2， FoxO3， Glutathione peroxidase 4 （GPX4）， and superoxide dismutase （SOD） in cells were detected by Western blot. ResultsThe GSE76862 and GSE22490 datasets were obtained from the GEO database. Differential gene analyses showed that the KEAP1， Nrf2， and FoxO3 genes were all associated with the disease. After matching with the oxidative stress pathway， nine significantly differential pathways were identified （P<0.05）， among which three contained the target genes Nrf2 and FoxO3. A total of 246 active ingredient targets of TSPSP and 2 804 SA-related targets were obtained through network pharmacology， and 154 potential action targets were obtained after taking the intersection. Topological analysis showed that targets such as KEAP1 and Nrf2 exhibited high degree values. GO and KEGG enrichment analyses indicated that the intersection targets were mainly involved in oxidative stress response， FOXO and MAPK signaling pathways， etc. In in vitro experiments， compared with the blank group， the cell viability in the model group was significantly decreased （P<0.01）. Compared with the model group， the cell viability in each TSPSP-containing serum group was significantly increased （P<0.01）. Compared with the 10% TSPSP-containing serum group， the cell viability in the ML385 group decreased to approximately 70% （P<0.01）. Compared with the blank group， the model group showed significantly increased contents of MDA， Fe²⁺， and ROS， decreased GSH expression （P<0.01）， significantly reduced cell migration rate （P<0.01）， and increased protein and mRNA expression levels of KEAP1 and FoxO3 （P<0.01）， while decreased protein and mRNA expression levels of Nrf2， GPX4， and SOD （P<0.01）. Compared with the model group， each TSPSP-containing serum group showed significantly decreased contents of MDA， Fe²⁺， and ROS， increased GSH expression （P<0.01）， significantly increased migration rate （P<0.01）， significantly decreased protein and mRNA expression levels of KEAP1 and FoxO3 （P<0.05， P<0.01）， and significantly increased protein and mRNA expression levels of Nrf2， GPX4， and SOD （P<0.05， P<0.01）. Compared with the 10% TSPSP-containing serum group， the ML385 group showed reversed trends in all indicators （P<0.05， P<0.01）. ConclusionTSPSP can inhibit H₂O₂-induced oxidative stress injury of trophoblast cells， and its mechanism of action may be related to the drug activating the KEAP1/Nrf2/FoxO3 signaling pathway.

ObjectiveTo explore the effect and mechanism of Taishan Panshi powder （TSPSP） on inhibiting oxidative stress injury in human chorionic trophoblast cells （HTR-8/SVneo）， and to uelucidate the underlying mechanism of TSPSP in the treatment of spontaneous abortion （SA）. MethodsGene differential analysis of SA was performed using the Gene Expression Omnibus （GEO） database and correlated with oxidative stress. Network pharmacology was employed to screen the active components of TSPSP， and a "Chinese medicine-component-target-disease" network was constructed to predict the mechanism of action of TSPSP. For in vitro validation experiments， HTR-8/SVneo cells were divided into blank group， model group， TSPSP-containing serum 2.5%， 5%， 10% groups， and nuclear factor E₂-related factor 2 （Nrf2） inhibitor group （ML385， 30 μmol·L^-1）. Except for the blank group， other groups were stimulated with 150 μmol·L^-1 H₂O₂ for 3 h to establish a cell oxidative stress injury model. After successful modeling， the blank group and model group were given 10% blank serum， each TSPSP-containing serum group was treated with the corresponding concentration of drug-containing serum， and the Nrf2 inhibitor group was additionally given 30 μmol·L^-1 ML385 on the basis of 10% TSPSP-containing serum. All groups of cells were continuously cultured under the above conditions for 24 h， and then samples were collected for subsequent detection. Cell viability in each group was detected by CCK-8 assay. Cell migration rate was detected by scratch test. The contents of malondialdehyde （MDA）， Fe²⁺， and Glutathione （GSH） were detected by enzyme-linked immunosorbent assay （ELISA）. Intracellular reactive oxygen species （ROS） level was detected by a fluorescent probe （DCF-DA）. The protein and mRNA expression levels of Kelch-like ECH-associated protein 1 （KEAP1）， Nrf2， and forkhead box protein O3 （FoxO3） in cells were detected by immunofluorescence （IF） and real-time quantitative polymerase chain reaction （Real-time PCR）. The protein expression levels of KEAP1， Nrf2， FoxO3， Glutathione peroxidase 4 （GPX4）， and superoxide dismutase （SOD） in cells were detected by Western blot. ResultsThe GSE76862 and GSE22490 datasets were obtained from the GEO database. Differential gene analyses showed that the KEAP1， Nrf2， and FoxO3 genes were all associated with the disease. After matching with the oxidative stress pathway， nine significantly differential pathways were identified （P<0.05）， among which three contained the target genes Nrf2 and FoxO3. A total of 246 active ingredient targets of TSPSP and 2 804 SA-related targets were obtained through network pharmacology， and 154 potential action targets were obtained after taking the intersection. Topological analysis showed that targets such as KEAP1 and Nrf2 exhibited high degree values. GO and KEGG enrichment analyses indicated that the intersection targets were mainly involved in oxidative stress response， FOXO and MAPK signaling pathways， etc. In in vitro experiments， compared with the blank group， the cell viability in the model group was significantly decreased （P<0.01）. Compared with the model group， the cell viability in each TSPSP-containing serum group was significantly increased （P<0.01）. Compared with the 10% TSPSP-containing serum group， the cell viability in the ML385 group decreased to approximately 70% （P<0.01）. Compared with the blank group， the model group showed significantly increased contents of MDA， Fe²⁺， and ROS， decreased GSH expression （P<0.01）， significantly reduced cell migration rate （P<0.01）， and increased protein and mRNA expression levels of KEAP1 and FoxO3 （P<0.01）， while decreased protein and mRNA expression levels of Nrf2， GPX4， and SOD （P<0.01）. Compared with the model group， each TSPSP-containing serum group showed significantly decreased contents of MDA， Fe²⁺， and ROS， increased GSH expression （P<0.01）， significantly increased migration rate （P<0.01）， significantly decreased protein and mRNA expression levels of KEAP1 and FoxO3 （P<0.05， P<0.01）， and significantly increased protein and mRNA expression levels of Nrf2， GPX4， and SOD （P<0.05， P<0.01）. Compared with the 10% TSPSP-containing serum group， the ML385 group showed reversed trends in all indicators （P<0.05， P<0.01）. ConclusionTSPSP can inhibit H₂O₂-induced oxidative stress injury of trophoblast cells， and its mechanism of action may be related to the drug activating the KEAP1/Nrf2/FoxO3 signaling pathway.

ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract（PAE） against human-derived lung adenocarcinoma organoids（LUAD-PDOs） and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid（Nor-PDOs） models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8（CCK-8） assay. Experimental groups included the model group（LUAD-PDOs）， normal group， model administration group（LUAD-PDOs+PAE）， and normal administration group（Nor-PDOs+PAE）. Hematoxylin-eosin（HE） staining was used to observe the pathological structures of PDOs， immunohistochemistry（IHC） was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7（CK-7） and Napsin A， TUNEL staining was applied to detect cell apoptosis. RNA sequencing（RNA-Seq） was conducted to identify differentially expressed genes（DEGs）， followed by Gene Ontology（GO）， Kyoto Encyclopedia of Genes and Genomes（KEGG）， and Gene Set Enrichment Analysis（GSEA）， alongside protein-protein interaction（PPI） network analysis to screen core mechanisms. Finally， key targets were validated by integrating external database analysis with immunofluorescence（IF）. ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L^-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures， whereas LUAD-PDOs displayed dense， solid structures. CCK-8 and TUNEL assays revealed that， compared with the model group， PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells， while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention（347 up-regulated and 372 down-regulated）（P<0.05）. GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism， including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway（P<0.05）. PPI network analysis indicated that breast cancer type 1 susceptibility protein（BRCA1） and checkpoint kinase 1（CHEK1） were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention（P<0.05）. Furthermore， survival analysis based on The Cancer Genome Atlas（TCGA） database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD（P<0.05）. ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis， its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway， with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.

ObjectiveCleft palate (CP) is a common congenital deformity often associated with velopharyngeal insufficiency (VPI), which disrupts the physiological coupling between respiration and speech. Conventional clinical assessments, such as nasometry and spirometry, provide limited static data and fail to visualize the dynamic spatiotemporal distribution of lung ventilation during phonation. This study introduces spatiotemporal electrical impedance tomography (ST-EIT) to evaluate speech-respiratory functional features in CP patients compared to normal controls (NC). The aim is to characterize multi-domain respiratory patterns and to validate an interpretable machine learning framework for providing objective, quantitative evidence for clinical assessment. MethodsSeventy-five participants were enrolled in this study, comprising 37 patients with surgically repaired CP and 38 healthy volunteers matched for age, gender, and body mass index (BMI). All subjects performed standardized sustained phonation tasks while undergoing synchronous monitoring with a 16-electrode EIT system and a pneumotachograph. A comprehensive feature engineering pipeline was developed to extract physiological parameters across 3 complementary domains. (1) Temporal domain: including inspiratory/expiratory phase duration (tPhase), time constants (Tau), and inspiratory-to-expiratory time ratios (TI/TE); (2) airflow domain: comprising mean flow, peak flow, and instantaneous flow at 25%, 50%, and 75% of tidal volume; and (3) spatial domain: quantifying global and regional tidal impedance variation (TIV), global inhomogeneity (GI), and center of ventilation (CoV). Extreme Gradient Boosting (XGBoost) classifiers were trained using 5 distinct data sources (Spirometry, Nasometry, Inspiratory-EIT, Expiratory-EIT, and fused ST-EIT). Model performance was rigorously evaluated via stratified 5-fold cross-validation, and Shapley additive explanations (SHAP) were employed to quantify global and local feature contributions. ResultsThe CP group exhibited a distinct respiratory phenotype compared to controls. In the temporal domain, CP patients showed significantly shorter inspiratory (1.60 s vs.1.85 s, P<0.001) and expiratory phase durations (2.45 s vs. 3.95 s, P<0.001), indicating a rapid, shallow breathing rhythm. In the airflow domain, while inspiratory flows were comparable, the CP group demonstrated significantly elevated mean and peak flows during the expiratory phase (P<0.001), reflecting compensatory respiratory effort. Spatially, CP patients presented significant ventilation redistribution, characterized by higher regional TIV in the right-anterior (ROI1) and left-posterior (ROI4) quadrants, but lower TIV in the left-anterior (ROI2) quadrant. In terms of diagnostic accuracy, the multi-modal ST-EIT model achieved the highest performance (AUC: 0.915±0.012, Accuracy: 0.843±0.019, F1-score: 0.872±0.017), substantially outperforming models based on spirometry (AUC: 0.721) or nasometry (AUC: 0.625) alone. Interpretability analysis revealed that spatial domain features were the most critical, contributing 53.4% to the model’s decision-making, followed by temporal (25.0%) and airflow (21.6%) features. ConclusionST-EIT successfully captures the temporal, airflow, and spatial deviations in CP speech respiration that are undetectable by conventional methods—specifically, rapid phase transitions, hyperdynamic expiratory airflow, and regional ventilation heterogeneity. This study validates ST-EIT as a robust, non-invasive, and radiation-free tool for characterizing speech-respiratory dysfunction, offering high clinical value for bedside screening, rehabilitation planning, and longitudinal monitoring of patients with cleft palate.

ObjectiveCleft palate (CP) is a common congenital deformity often associated with velopharyngeal insufficiency (VPI), which disrupts the physiological coupling between respiration and speech. Conventional clinical assessments, such as nasometry and spirometry, provide limited static data and fail to visualize the dynamic spatiotemporal distribution of lung ventilation during phonation. This study introduces spatiotemporal electrical impedance tomography (ST-EIT) to evaluate speech-respiratory functional features in CP patients compared to normal controls (NC). The aim is to characterize multi-domain respiratory patterns and to validate an interpretable machine learning framework for providing objective, quantitative evidence for clinical assessment. MethodsSeventy-five participants were enrolled in this study, comprising 37 patients with surgically repaired CP and 38 healthy volunteers matched for age, gender, and body mass index (BMI). All subjects performed standardized sustained phonation tasks while undergoing synchronous monitoring with a 16-electrode EIT system and a pneumotachograph. A comprehensive feature engineering pipeline was developed to extract physiological parameters across 3 complementary domains. (1) Temporal domain: including inspiratory/expiratory phase duration (tPhase), time constants (Tau), and inspiratory-to-expiratory time ratios (TI/TE); (2) airflow domain: comprising mean flow, peak flow, and instantaneous flow at 25%, 50%, and 75% of tidal volume; and (3) spatial domain: quantifying global and regional tidal impedance variation (TIV), global inhomogeneity (GI), and center of ventilation (CoV). Extreme Gradient Boosting (XGBoost) classifiers were trained using 5 distinct data sources (Spirometry, Nasometry, Inspiratory-EIT, Expiratory-EIT, and fused ST-EIT). Model performance was rigorously evaluated via stratified 5-fold cross-validation, and Shapley additive explanations (SHAP) were employed to quantify global and local feature contributions. ResultsThe CP group exhibited a distinct respiratory phenotype compared to controls. In the temporal domain, CP patients showed significantly shorter inspiratory (1.60 s vs.1.85 s, P<0.001) and expiratory phase durations (2.45 s vs. 3.95 s, P<0.001), indicating a rapid, shallow breathing rhythm. In the airflow domain, while inspiratory flows were comparable, the CP group demonstrated significantly elevated mean and peak flows during the expiratory phase (P<0.001), reflecting compensatory respiratory effort. Spatially, CP patients presented significant ventilation redistribution, characterized by higher regional TIV in the right-anterior (ROI1) and left-posterior (ROI4) quadrants, but lower TIV in the left-anterior (ROI2) quadrant. In terms of diagnostic accuracy, the multi-modal ST-EIT model achieved the highest performance (AUC: 0.915±0.012, Accuracy: 0.843±0.019, F1-score: 0.872±0.017), substantially outperforming models based on spirometry (AUC: 0.721) or nasometry (AUC: 0.625) alone. Interpretability analysis revealed that spatial domain features were the most critical, contributing 53.4% to the model’s decision-making, followed by temporal (25.0%) and airflow (21.6%) features. ConclusionST-EIT successfully captures the temporal, airflow, and spatial deviations in CP speech respiration that are undetectable by conventional methods—specifically, rapid phase transitions, hyperdynamic expiratory airflow, and regional ventilation heterogeneity. This study validates ST-EIT as a robust, non-invasive, and radiation-free tool for characterizing speech-respiratory dysfunction, offering high clinical value for bedside screening, rehabilitation planning, and longitudinal monitoring of patients with cleft palate.

Background/Aims: Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy. Methods: We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues. Results: We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts. Conclusion Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.

Objective To analyze the infection status and epidemic trends of soil-borne nematode infections in Yubei, Chongqing City, in 2010,2021, and 2022. Methods The local populations from four survey sites of four towns in 2010 and five sites of five towns in 2021 and 2022 were surveyed regarding their basic information using a unified form. Fecal samples of the participants were collected and tested for soil-borne nematode infections using the modified Kato-Katz thick smear method. Results In 2010, 2 049 participants were surveyed, followed by 1 000 participants in 2021 and 2022. The overall prevalence of parasitic infections declined significantly from 3.86% to 0.20%. In 2010, soil-transmitted nematode included hookworms(3.81%) and roundworms(0.29%). In 2021, the infection rates of roundworms and hookworms were 1.70% and 0.10% respectively. Notably, only Ascaris was identified in 2022(0.20%). The≥60 age group consistently exhibited the highest infection rates across all surveys, followed by the 40-59 age group. The infection rates of males in the three surveys were 3.31%,1.92%, and 0.20% respectively, and those of females were 4.37%, 1.46%, and 0.20% respectively. There was no statistically significant difference in the infection rates between males and females. Educational attainment was inversely associated with infection; in 2010, the highest prevalence was observed among those with primary education or below, whereas in 2021, illiterate or semi-literate individuals showed the highest susceptibility. The occupational distribution of infections in 2010 indicated that retirees (8.33%), farmers(4.86%), and homemakers or unemployed individuals(3.45%)were the most affected. However, in 2021 and 2022, farmers emerged as the predominant occupational group with soil-transmitted nematode infections. Conclusions The infection rate of soil-borne nematodes showed a decreasing trend in Yubei, and the infection species changed from hookworms in 2010 to Ascaris in 2022. Farmers, the elderly, and people with low education levels should continue to be the focus of preventive and control efforts.

In recent years, significant progress has been made in the field of liver transplantation in terms of donor expansion, technological innovation and perioperative management. Machine perfusion technology, through dynamic repair and assessment of donor liver quality, can effectively reduce postoperative complications and increase the utilization rate of marginal donor livers. The optimization of split liver transplantation technology combined with normothermic perfusion further alleviates the shortage of donors, but its promotion is still limited by technical barriers. Xenotransplantation has achieved preclinical breakthroughs in the field of genetically modified pig livers, but ethical and immune barrier issues need to be urgently resolved. In the field of liver cancer liver transplantation, the focus is on neoadjuvant treatment with immune checkpoint inhibitors and the development of recurrence prediction models, which promotes precise treatment. For perioperative management, the optimization of individualized immunosuppressive regimens, artificial liver support, and strategies for the prevention and control of vascular complications has significantly improved patients’ survival rates. Personalized treatment for children, elderly recipients, and recipients with multiple comorbidities provides new ideas for liver transplantation in special populations. In the future, liver transplantation research may focus on the integration of multidisciplinary approaches, individualized treatment and emerging technologies to advance the global liver transplantation cause to new heights.

Objective:To establish a linear calibration method using two reference substances for seven characteristic peaks of Cassiae Semen under complicated chromatographic condition,and to optimize the method.Methods:Using 15 different types of screened chromatographic columns and 2 components as reference compounds pair,the linear calibration method with 2 reference substances was established to predict the retention time of the other 5 components,and the method was verified by unknown chromatographic columns and unknown samples.Combined with column confirmation number and average coincidence rate of target peaks,the location results were compared comprehen-sively,and the method was optimized according to the defect under the influence of complicated chromatographic condition.Results:The average conformity rate of the target peak of the method before optimization was 73.3％,and the average conformity rate of the target peak of the optimized method was 98.7％.The optimized method has a high-er average peak coincidence rate and a wider range of applicability for the chromatographic column.Conclusion:The optimized linear calibration method using two reference substances can assist the localization analysis of chromato-graphic peaks in the characteristic chromatogram under complicated chromatographic condition.