The general models for intermediates quality analysis in the production process of Yaobitong capsule were established by near infrared spectroscopy (NIRS) combined with chemometrics, realizing the rapid determination of notoginsenoside R1, ginsenoside Rg1, ginsenoside Re, ginsenoside Rb1, ginsenoside Rd and moisture. The spray-dried fine powder and total mixed granule were selected as research objects. The contents of five saponins were determined by high performance liquid chromatography and the moisture content was determined by drying method. The measured contents were used as reference values. Meanwhile, NIR spectra were collected. After removing abnormal samples by Monte Carlo cross validation (MCCV), Monte Carlo uninformative variables elimination (MC-UVE) and competitive adaptive reweighted sampling (CARS) were used to select feature variables respectively. Based on the feature variables, quantitative models were established by partial least squares regression (PLSR), extreme learning machine (ELM) and ant lion optimization least squares support vector machine (ALO-LSSVM). The results showed that CARS-ALO-LSSVM model had the optimum effect. The correlation coefficients of the six index components were greater than 0.93, and the relative standard errors were controlled within 6%. ALO-LSSVM was more suitable for a large number of samples with rich information, and the prediction effect and stability of the model were significantly improved. The general models with good predicting effect can be used for the rapid quality determination of Yaobitong capsule intermediates.

Objective To explore the efficacy and safety of conversion therapy for advanced hepatocellular carcinoma(HCC)with macrovascular invasion.Methods A total of 149 patients with advanced HCC with macrovascular invasion who were treated at our hospital from Jul.2019 to Jun.2021 were enrolled.All patients received systemic therapy combined with local therapy,and were assigned to conversion therapy group(n=42)and non-conversion therapy group(n=107)according to whether they ultimately underwent surgical treatment.The long-term prognosis and adverse reactions of these patients after conversion therapy were analyzed.Results The median event-free survival of 149 patients was 15.5 months,and the median overall survival had not been reached.The median event-free survival in the conversion therapy and non-conversion therapy groups were 19.8 months and 10.7 months,respectively,with the median overall survival being not reached and 28.2 months,respectively.Multifactor Cox regression analysis showed that conversion therapy was a protective factor for overall survival(hazard ratio[HR]=0.125,95％confidence interval[CI]0.016-0.966),but not for event-free survival.The 1-year and 2-year overall survival rates of the conversion therapy and non-conversion therapy groups were 100.0％,96.4％and 72.1％,53.4％,respectively,and the difference in survival curves between the 2 groups was statistically significant(P=0.003).The 1-year and 2-year event-free survival rates were 77.5％,33.8％and 47.3％,31.5％,respectively.There was no significant difference in survival curves between the 2 groups(P=0.070).The differences of the overall incidences of targeted and immunotherapy-related adverse reactions in the conversion therapy group and non-conversion therapy group(66.7％[28/42]vs 72.0％[77/107],P=0.524)and the incidences of grade Ⅲ to Ⅳ adverse reactions(23.8％[10/42]vs 27.1％[29/107],P=0.681),were not statistically significant.Conclusion For patients with advanced HCC with macrovascular invasion,conversion therapy can significantly improve the prognosis without serious adverse reactions.

Objective To prepare glucose transporter 1(Glut1)-targeted doxorubicin(DOX)-loaded liposomes(doxorubicin/polyphyllin H-liposomes,DOX/ppH-LPs)using polyphyllin H(ppH)instead of cholesterol as the liposomal membrane material,and to investigate their in vitro synergistic anti-tumor activity against non-small cell lung cancer(NSCLC).Methods DOX/ppH-LPs were prepared using thin-film hydration,and the formulation was optimized by single-factor investigation.The optimized DOX/ppH-LPs were characterized for morphology,particle size,polydispersity index(PDI),and zeta potential with transmission electron microscopy(TEM)and dynamic light scattering(DLS).Drug loading DL%was determined by high-performance liquid chromatography(HPLC).The storage stability was evaluated by observing in PBS at 4℃for 7 d,and the serum stability was observed in DMEM containing 10%fetal bovine serum(FBS)at 37℃for 48 h.In vitro drug release was studied in PBS at pH 7.4 and pH 5.0 values,respectively.Human NSCLC A549 cells were subjected as the model,MTT assay was performed to detect the proliferation inhibition by DOX/ppH-LPs at different concentrations(0.5,5.0,15.0 μg/mL)and the control group(ppH+DOX/LPs,a physical mixture of free ppH and DOX-loaded liposomes).Fluorescence microscopy was used to observe cellular uptake of DOX/ppH-LPs and DOX/LPs(containing 5 μg/mL DOX)at 15 min and 2 h.Live/dead cell staining was applied to assess apoptosis/necrosis induced by formulations(15 μg/mL DOX)after 48 h incubation.Transwell assay was conducted to evaluate inhibitory effect on cell migration and invasion,and the targeting property and in vitro synergistic anti-NSCLC activity of DOX/ppH-LPs were then comprehensively evaluated.Results The optimal formulation of DOX/ppH-LPs was determined as hydration temperature at 50℃,6 mg DOX,2 mg ppH,and 24 mg lecithin.The prepared DOX/ppH-LPs were in spherical shape,uniform distribution,and at an average particle size of 145.13±22.14 nm,a PDI of 0.15±0.05,a zeta potential of-23.92±1.73 mV,and a DL of 10.13±0.71%for DOX and(1.22±0.21)%for ppH.DOX/ppH-LPs maintained stable particle size,PDI,and exhibited significantly unchanged zeta potential after storage in PBS at 4℃for 7 d or incubation in DMEM containing 10%FBS at 37℃for 48 h,demonstrating excellent physical and serum stability.Both liposomes showed slow release at pH 7.4 value,while drug release was significantly accelerated at pH 5.0 value(P<0.05),indicating pH-sensitive release characteristics.MTT assay revealed that DOX/ppH-LPs exerted significantly stronger cytotoxicity against A549 cells than the ppH+DOX/LPs control group(P<0.05).Compared with ppH+DOX/LPs,DOX/ppH-LPs showed remarkably enhanced cellular uptake in A549 cells(P<0.05),with more DOX localized in the nucleus.Live/dead cell staining showed that at the same DOX concentration(15 μg/mL),the proportion of apoptotic/necrotic cells induced by DOX/ppH-LPs was significantly higher than that of the DOX/LPs control group.Transwell assay demonstrated that there were significantly less cells migrating and invading through the membrane in the DOX/ppH-LPs group than the ppH+DOX/LPs group.Conclusion Glut1-targeted doxorubicin-loaded liposomes(DOX/ppH-LPs)constructed by substituting cholesterol with ppH can target NSCLC cells,significantly enhance the in vitro synergistic anti-NSCLC activity of DOX and ppH.

Integrated metabolomic and lipidomic profiling,utilizing liquid chromatography coupled with high-resolution mass spectrometry(LC-HRMS),has emerged as a pivotal strategy for biomarker discovery.However,the inherent polarity disparity between metabolites and lipids complicates simultaneous analysis.To address this,a dual-stationary phase polarity-extended liquid chromatography(PELC)system was developed,which surpassed conventional one-dimensional LC(1D-LC)by enabling comprehensive coverage of both polar and non-polar compounds within a single injection.This system enhanced chromatographic resolution,peak capacity,and throughput while minimizing analytical variability.Extracellular vesicles(EVs),lipid bilayer-enclosed nanoparticles ubiquitously present in biofluids,had gained prominence as reservoirs of cancer biomarkers due to their cargo stability and pathophysiological relevance.Herein,the application of PELC-HRMS for concurrent metabolome-lipidome profiling in EVs was pioneered.A total of 193 metabolites were identified using this technique coupled with MS-DIAL software and Human Metabolome Database.Subsequently,this technique was employed to explore potential biomarkers for prostate cancer(PCa).Multivariate analysis identified 17 differentially abundant metabolites in PCa,implicating dysregulated pathways including purine metabolism,starch and sucrose metabolism,galactose metabolism,cysteine and methionine metabolism,and biosynthesis of unsaturated fatty acids.Notably,creatine(AUC=0.92)and DG 42:5(AUC=0.80)demonstrated robust diagnostic efficacy,attributable to their broad polarity ranges and EV-specific enrichment.This study established PELC as a high-fidelity platform for multi-omics integration in complex biospecimens,advancing mechanistic insights into metabolic rewiring and disease pathophysiology.

Under the background of forensic medicine becoming a first-level discipline,the opportuni-ties and challenges of discipline development coexist.Starting from the actual situation and characteris-tics of local medical colleges and universities,this paper discusses the problems and solutions for the development of forensic medicine discipline from the perspective of building a regional high-level medical university.Combined with the experiences of carrying out forensic medicine education in our college,this paper supplies our thoughts and practices on improving the discipline system,enhancing the ability to serve society,perfecting the talent cultivation model and promoting forensic culture,to provide reference and inspiration for the development of forensic medicine in other universities,jointly promote the advancement of forensic medicine in China to a new stage,and contribute the wisdom and strength of forensic medical experts to the construction of a law-based China,a safe China and a healthy China.

Objective To investigate the effects of a 100 mT static magnetic field(SMF)on emotional behavior and brain damage-related molecules in mice.Methods Fifty-eight C57BL/6N mice were randomly divided into control group(n=25)and observation group(n=33).Mice in observation group were exposed to a 100 mT SMF for 0.5 h/d over 14 consecutive days,while mice in control group underwent pseudo-exposure.On the 7 and 14 days of exposure,anxiety-like behavior was assessed using open field and elevated plus maze tests.Cerebral blood flow was monitored using laser speckle imaging,and the levels of tumor necrosis factor-α(TNF-α),interleukin(IL)-1β,IL-4,central nervous system specific protein β(S100β),neuron-specific enolase(NSE),and brain-derived neurotrophic factor(BDNF)were measured by radioimmunoassay.BDNF expression in the brain was detected by immunofluorescence.Results On the 7 and 14 days of SMF exposure,the open field and elevated plus maze tests showed no statistically significant differences between observation and control groups in the frequencies,durations,and distance entering the central area of the open field and the open arm of the elevated plus maze(P>0.05).Laser speckle imaging revealed no significant difference in cerebral cortical perfusion compared with pre-exposure period(P>0.05).The results of radioimmunoassay showed that compared with control group,on the 7 d of SMF exposure,the serum IL-1β,NSE and S100β levels were significantly increased(P<0.05),the serum BDNF level was significantly decreased(P<0.05),and the IL-1β and TNF-α contents in brain tissues were significantly increased in observation group(P<0.01).On the 14 d of SMF exposure,serum IL-1β,TNF-α,NSE,and S100β levels were significantly increased(P<0.05,P<0.0001),and the brain IL-1β and TNF-α levels were significantly increased(P<0.01)in observation group.No statistically significant differences were found in anti-inflammatory cytokine IL-4 level of serum and brain tissue or BDNF content of brain tissue between the two groups(P>0.05).Conclusion Continuous exposure to a 100 mT SMF for 14 d at 0.5 h/d induces neuroinflammation and brain damage in mice,without inducing anxiety-like behavior.

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

The effect of Huanglian Jiedu Decoction on the intestinal flora of type 2 diabetes mellitus(T2DM) was investigated using 16S rRNA sequencing technology. Sixty rats were randomly divided into a normal group(10 rats) and a modeling group(50 rats). After one week of adaptive feeding, a high-fat diet + streptozotocin was given for modeling, and fasting blood glucose >16.7 mmol·L~(-1) was considered a sign of successful modeling. The modeling group was randomly divided into the model group, high-, medium-, and low-dose groups of Huanglian Jiedu Decoction, and metformin group. After seven days of intragastric treatment, the feces, colon, and pancreatic tissue of each group of rats were collected, and the pathological changes of the colon and pancreatic tissue of each group were observed by hematoxylin-eosin staining. The changes in the intestinal flora structure of each group were observed by the 16S rRNA sequencing method. The results showed that compared with the model group, the high-, medium-, and low-dose of Huanglian Jiedu Decoction reduced fasting blood glucose levels to different degrees and showed no significant changes in body weight. The number of islet cells increased, and intestinal mucosal damage attenuated. Alpha diversity analysis revealed that Huanglian Jiedu Decoction reduced the abundance and diversity of intestinal flora in rats with T2DM; at the phylum level, low-and mediam-dose of Huanglian Jiedu Decoction reduced the abundance of Bacteroidota, Proteobacteria, and Desulfobacterota and increased the abundance of Firmicute and Bacteroidota/Firmicutes, while the high-dose of Huanglian Jiedu Decoction increased the relative abundance of Proteobacteria and Bacteroidota/Firmicutes ratio, and decreaseal the relative; abundance of Firmicute; at the genus level, Huanglian Jiedu Decoction increased the relative abundance of Allobaculum, Blautia, and Lactobacillus; LEfse analysis revealed that the biomarker of low-and medium-dose groups of Huanglian Jiedu Decoction was Lactobacillus, and the structure of the intestinal flora of the low-dose group of Huanglian Jiedu Decoction was highly similar to that of the metformin group. PICRUSt2 function prediction revealed that Huanglian Jiedu Decoction mainly affected carbohydrate and amino acid metabolic pathways. It suggested that Huanglian Jiedu Decoction could reduce fasting blood glucose and increase the number of islet cells in rats with T2DM, and its mechanism of action may be related to increasing the abundance of short-chain fatty acid-producing strains and Lactobacillus and affecting carbohydrate and amino acid metabolic pathways.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Diabetes Mellitus, Type 2/metabolism* ; Gastrointestinal Microbiome/drug effects* ; Rats ; Male ; Rats, Sprague-Dawley ; Humans ; Bacteria/drug effects* ; Blood Glucose/metabolism*

In recent years, the reform of the registration, evaluation, and approval system for traditional Chinese medicine(TCM) has been promoted at the national level, with establishment of an evaluation evidence system for TCM registration that combines TCM theory, human use experience, and clinical trials(known as the "three-combined" evaluation evidence system). This system, which aligns with the characteristics of TCM clinical practice and the laws of TCM research and development, recognizes the unique value of human use experience in medicine and returns to the essence of medicine as an applied science, thus receiving widespread recognition from both academia and industry. However, it meanwhile poses new and higher challenges. This article delves into the value and challenges faced by the "three-combined" evaluation evidence system from three perspectives: registration management, medical institutions, and the TCM industry. Furthermore, it discusses how the China Association of Chinese Medicine, leveraging its academic platform advantages and leading roles, has made exploratory and practical efforts to facilitate the research and development of new TCM drugs and the implementation of the "three-combined" evaluation evidence system.
Drugs, Chinese Herbal/standards* ; Humans ; Medicine, Chinese Traditional/standards* ; China ; Drug Development