Clinical death refers to the permanent cessation of life functions. This article reviews the definition of clinical death and the various scenarios in which it occurs, classifies the process of clinical death, and discusses the criteria for determining uncontrollable cardiac death, controllable cardiac death and the criteria and workflow for determining brain death. It elaborates on the relationship between brain death and death, and proposes the areas to note when standardizing the medical documentation of death cases. Based on this, it introduces the content of the management system and workflow construction for death determination in medical institutions, including management structure, personnel qualifications, document norms, quality control system and training mechanism. Paying attention to the construction of the management system and workflow for death determination in medical institutions is of great significance for ensuring medical quality and safety, promoting the healthy development of organ donation, and maintaining the seriousness of legal and ethical practices.

Objective To explore the predictive performance of machine learning models integrating clinico-pathological features and inflammatory markers for lymphovascular invasion (LVI) before gastric cancer surgery. Methods A retrospective cohort of 193 gastric cancer patients from The First Hospital of Lanzhou University (training set) and 185 patients from Zhongshan Hospital, Fudan University (validation set) was included. Preoperative clinical pathological characteristics, tumor markers, and inflammatory markers were collected to identify independent risk factors for LVI. Six machine learning models were established in the training set. Model performance was evaluated using area under the receiver operating characteristic (ROC) curve (AUC), calibration curve, decision curve analysis (DCA), and Brier scores. Shapley additive explanations (SHAP) was applied for model interpretability. Results The multivariate logistic regression showed increased tumor invasion depth (T-stage), lymph node metastases (N-stage), and the systemic immune-inflammation index (SII) were independent risk factors for gastric cancer LVI (P＜0.05). Using these three indicators, 6 machine learning models were developed, all of which demonstrated favorable predictive performance, with 0.79 and 0.76 of minimum AUC values in the training set and the validation set, respectively. Among them, the light gradient boosting machine (LightGBM) model exhibited the best overall performance, achieving AUCs of 0.83 and 0.82 in the training set and the validation set, along with Brier scores of 0.163 and 0.187, respectively. Calibration and DCA curves further confirmed that the model possesses strong predictive accuracy and application value. SHAP analysis showed the feature importance in LightGBM model, identifying the N-stage as the top contributor, followed by the T-stage and the SII. Conclusion The machine learning models incorporating clinical pathological features and inflammatory indicators can effectively predict LVI status in gastric cancer, with the LightGBM model demonstrating optimal performance.

Objectives:This study aims to evaluate the causal relationship between plasma proteins and myocardial infarction(MI)using two-sample bidirectional Mendelian randomization(MR)analysis,identify key biomarkers,and validate their expression.Methods:The study utilized publicly available genome-wide association study(GWAS)data of 4 907 plasma proteins as the exposure factor,with single nucleotide polymorphisms(SNPs)as instrumental variables,and four MI datasets as outcomes.Two-sample MR analysis was performed using the inverse variance weighted(IVW)method,complemented by simple model,weighted model,weighted median estimator(WME),and MR-Egger regression methods to assess the causal relationship between exposure factors and outcomes.Venn diagrams and word clouds were used to screen proteins associated with MI as candidate biomarkers.Reverse MR analysis was conducted to evaluate reverse causality.Sensitivity analysis was performed to assess the robustness of the results.Immunohistochemistry(IHC)was used to validate the expression of proteasome activator subunit 1(PSME1)and vacuolar protein sorting 29(VPS29)in the aorta of mice,and enzyme-linked immunosorbent assay(ELISA)was used to verify the expression of PSME1 and VPS29 in plasma from patients with acute myocardial infarction(AMI).Results:The two-sample MR analysis indicated that PSME1 was significantly negatively associated with myocardial infarction in all four datasets,with OR(95%CI)of 0.684(0.557-0.839),0.990(0.987-0.993),0.579(0.448-0.748),and 0.993(0.990-0.996),respectively,with all P<0.001.Similarly,VPS29 also showed a significant negative association with MI in all four datasets,with OR(95%CI)of 0.902(0.862-0.945),0.998(0.997-0.999),0.866(0.808-0.929),and 0.998(0.997-0.999),respectively,with all P<0.001.Reverse MR analysis did not detect reverse causality,and sensitivity analysis confirmed the robustness of the results.IHC results showed significantly reduced expression of PSME1 and VPS29 in the aortas of AMI mice with an atherosclerotic background compared to control mice(both P<0.05).ELISA results indicated significantly lower plasma levels of PSME1 and VPS29 in AMI patients compared to healthy controls(both P<0.05).Conclusions:Higher levels of PSME1 and VPS29 are negatively associated with the risk of MI,suggesting that PSME1 and VPS29 may serve as protective biomarkers for cardiovascular diseases.

Objective The identification of TCM constitution plays an important role in"treating and preventing diseases"of TCM.At present,the identification of damp-heat constitution and balanced constitution is mostly determined by questionnaire,and subjective factors have a great influence.Aiming at the identification of damp-heat constitution and balanced constitution in TCM,this paper utilizes voice signal to automatically realize the constitution identification task,in order to provide assistance for the clinical identification of TCM constitution.Methods Based on deep learning Transformer and transfer learning,a pure attentional mechanism model was designed for the identification of constitution in TCM sound diagnosis.We collected 700 voices from 34 subjects,pre-processed the voice data to obtain the corresponding Mayer spectrum diagram,and used the Transformer model pre-trained based on the public data set to improve the performance of the model for audio classification.Results The accuracy of the experimental results was 83.33%,the AUC was 92.16%,the sensitivity was 80.25%,and the specificity was 87.03%.Compared with the Convolutional Neural Network(CNN),the performance of the deep learning model was better.Conclusion In this paper,the damp-heat constitution and balanced constitution identification model Transformer has achieved better identification effect,indicating that it can improve the efficiency of TCM acoustic diagnosis of constitution identification,and promote the objective and intelligent development of constitution identification.

OBJECTIVE To study the chemical constituents in the root bark of Schisandra sphenanthera and their cytotoxic activ-ities.METHODS The compounds were isolated and purified by silica,Sephadex LH-20 and semi preparative-HPLC and the chem-ical structures were identified by 1 H-NMR,13 C-NMR and MS data analysis.The cytotoxic activities of the compounds were deter-mined by MTT method.RESULTS Twenty lignans were isolated and deduced as:Matairesinol(1),2-Hydroxy-2-(3′,4′-di-hydroxyphenyl)methyl-3-(3″,4″-dimethoxyphenyl)methyl-gamma-butyrolactone(2),(+)-Nortrachelogenin(3),2-Hydroxy-2-(4′-O-β-D-glucopyranosyl-3′-hydroxyphenyl)methyl-3-(3″,4″-dimethoxyphenyl)methyl-γ-butyrolactone(4),Nortracheloside(5),Burselignan(6),(+)-Cycloolivil(7),5-Methoxy-(+)-isolariciresinol(8),(-)-Isolariciresinol 3α-O-β-D-glucopyranoside(9),(+)-9-O-β-D-Glucopyranosyl lyoniresinol(10),(-)-Secoisolariciresinol(11),Licarin A(12),Cedrusin(13),Mataires-inol 4′-O-β-D-glucopyranoside(14),Pregomisin(15),Meso-dihydroguaiaretic acid(16),7S,8R-Erythro-4,9,9′-trihydroxy-3,3′-dimethoxy-8-O-4′-neolignan-7-O-β-D-glucopyranoside(17),Gomisin M2(18),Gomisin M3(19),Pinoresinol(20).Com-pounds 1-3,12,15,16,18 and 19 showed cytotoxic activity against A549,HCT116 and SW620 cell lines with IC50 values ranging from 1.4 to 22.9 μmol·L-1.CONCLUSION Compounds 1-4,6-12,14,17-19 are isolated from the plant for the first time,com-pounds 1-3,12,15,16,18 and 19 exhibit cytotoxic activities.

AIM:To study the effect of nicotinamide mononucleotide(NMN)on renal fibrosis in mice with Al-port syndrome(AS)through TGFβ/Smad3 pathway.METHODS:SPF grade female X-linked AS(COL4A5 KI)mice were divided into model group(AS group)and model drug administration group(AS+NMN group).while female C57BL/6 mice served as the wild-type(WT)group,with 7 to 8 mice in each group.The mice in the administration group were given oral administration at 8 weeks of age for 8 weeks to 16 weeks of age.The remaining mice were given saline intragastric ad-ministration.The ratio of urinary microalbumin to urinary creatinine(UACR)was measured by biochemical method.After sampling,the renal fibrosis was analyzed by Masson staining.The expression levels of desmin and α-smooth muscle actin(α-SMA)were detected by immunohistochemistry.The expressions of fibrosis-related proteins desmin,α-SMA,trans-forming growth factor β(TGFβ),Smad3,p-Smad3,and fibronectin were detected by Western blot.RESULTS:Com-pared with the model group,UACR(13 weeks,P＜0.01;15 weeks,P＜0.01)and fibrosis-related protein expression(P＜0.05)in AS mice were significantly decreased after NMN treatment.CONCLUSION:Treatment with NMN attenuates renal fibrosis in AS mice through TGFβ/Smad3 signaling pathway.

Objective To investigate the anti-hepatocellular carcinoma mechanism of Chloranthus fortunei(A.Gray)Solms-Laub.via network pharmacology,molecular docking techniques and in vitro experiments.Methods Chemical composition of Chloranthus fortunei(A.Gray)Solms-Laub.was searched by literature.Swiss Target Prediction was used to find corresponding targets.STRING was used to construct protein-protein interactions network(PPI).DAVID was used to enrich GO analysis and KEGG pathway.AutoDock Vina 1.1.2 and Pymol visualisation was used for docking and validation.Results Chloranthus fortunei(A.Gray)Solms-Laub.had 61 active components,685 targets,and 279 intersections with disease targets.The PPI showed that the main active components were Luteolin,Chloranthalactone C,Shizukanolide H,Esculetin,7-Hydroxycoumarin.The key targets were GAPDH,VEGFA,STAT3,JUN,HSP90AA1,AKT1,CTNNB1,CASP3,and ALB.Biological process(BP)involved protein phosphorylation,signal transduction,regulation of RNA polymerase II promoter transcription,cell proliferation,apoptosis.Cellular component(CC)involved cytoplasm,nucleus,cell membrane,cellular exosome.Molecular function(MF)involves protein binding,ATPase,threonine kinase,protein kinase activity.KEGG involved cancer pathway,metabolic pathway,PI3K-Akt signalling pathway,cancer proteoglycans,lipids and atherosclerosis,cytomegalovirus infection,microRNAs in cancer,human T-cell leukaemia virus type 1,Ras signalling pathway,MAPK signalling pathway.Molecular docking showed that silverweed lactone H had a strong affinity for each of the other target proteins,indicating that this component plays a key role.The results of RT-qPCR assay and WB assay showed that there were significant differences in gene and protein expression levels before and after drug administration.Conclusion The Chinese medicine in Chloranthus fortunei(A.Gray)Solms-Laub.can treat hepatocellular carcinoma through the MAPK pathway,and the main active ingredients have good docking effects with the core target proteins of the disease.

At present,malignant tumor diseases occur frequently and increase year by year.Traditional chemoradiotherapy methods are expensive,have serious toxic and side effects,and are easy to reduce patient tolerance.Natural medicines have advantages of multiple targets,high selectivity and low toxicity and side effects in process of anti-tumor,and are one of important sources of anti-tumor drugs.As a polypeptide substance,lactoferrin has a strong anti-tumor effect and plays a huge role in field of nano-drug delivery.Receptors of lactoferrin are widely expressed on surface of various cancer cells.In addition to its strong anti-tumor effect,it is also widely used to modify nanocarriers.In this paper,anti-tumor mechanism of lactoferrin is reviewed,and the latest research progress of using lactoferrin as an anti-cancer drug delivery carrier is also introduced.

Objective:To apply mass spectrometry as well as bioinformatics techniques to analyze HBV peptides derived from Pol and X proteins presented by human immortalized B lymphocytes(BLCLs),and to screen for effective T-cell epitopes,which lays the foundation for the development of therapeutic vaccines.Methods:The group has constructed a genome-wide expression plasmid containing 1.2-fold HBVC2 isoforms and transfected it into BLCLs by electro-transfection,isolated and identified HBV peptides by LC-MS/MS,bioinformatically predicted peptide sequences in terms of sensitization,antigenicity,toxicity,HLA molecular affinity,and the ability of peptide HLA-class Ⅰ complex to bind to specific T cells,and retrieved reported sequences.Results:HBV peptides from lysates of five immortalized B cells(BLCLs-1 to BLCLs-5)carrying HBVC2 subtype-expressing recombinants were analyzed,and 141 peptides with sequence lengths of no less than 8 amino acid residues(≥8 aa)were successfully isolated and identified,of which 133 were derived from Pol,and 8 from X proteins.The 141 HBV peptides were analyzed for sensitization,antigenicity and toxicity,and 50 antigenic,non-toxic and sensitizing HBV peptides(47 from Pol and 3 from X protein)were screened for affinity analysis with HLA-class Ⅰ and Ⅱ molecules and for prediction of the binding ability of the peptide HLA-class Ⅰ complexes to specific T cells.Among these peptides,37 had affinity to the corresponding genotypes of HLA-class Ⅰ and Ⅱ molecules.Finally,we obtained 37 peptides with antigenic,nontoxic,and sensitizing properties with IC50<500 nmol/L to HLA-class Ⅰ and Ⅱ molecules,which have affinitied to the corresponding genotypes but have not been reported,and can be continued to be explored as potential epitopes.Finally,15 HBV peptide hotspot core regions were formed by intra-and inter-strain common,contained,overlapping or neighboring sequence analysis of 141 peptides,with 7 core region sequences with antigenic,nontoxic,and sensitizing properties restricted to the corresponding geno-types.Peptides with affinity IC50<500 nmol/L had an affinity core sequence overlap of no less than 8 amino acids,and can be priori-tized for candidate T cell epitopes for subsequent studies.Conclusion:Peptides derived from Pol and X proteins have been successfully isolated and identified,and potential T cell epitopes have been screened.

AIM:To investigate the efficacy of Shenxiankang(SXK)in mitigating renal fibrosis in unilateral ureteral obstruction(UUO)mice,and elucidate its regulatory mechanism targeting the differentiation antagonizing non-protein coding RNA(DANCR)/TGF-β1/Smad3 signaling axis.METHODS:Mice were randomly assigned to:normal group(NC),model group(UUO),low,medium and high doses(1 500,3 000 and 4 500 mg·kg-1·d-1)of SXK group,and benazepril(10 mg·kg-1·d-1)group.Chronic kidney disease was modeled via unilateral ureteral ligation.Renal DAN-CR overexpression was induced using tail vein injection coupled with ultrasound microbubble technology.In vitro,human renal tubular epithelial cells(HK-2)were stimulated with TGF-β1;DANCR was either knocked down or overexpressed,followed by SXK intervention in both in vivo and in vitro models.Renal tissues were harvested for pathological assessment.DANCR expression and localization were analyzed using fluorescence in situ hybridization.Fibrosis deposition was evaluat-ed by immunohistochemistry(IHC).Western blot quantified the expression of fibrosis markers(α-SMA,FN)and key components of the TGF-β1/Smad3 signaling axis(p-Smad3,Smad3,TGF-β1).RESULTS:UUO mice exhibited signifi-cant renal tubular dilation.SXK intervention ameliorated renal lesions and reduced fibrosis.In UUO mice with DANCR overexpression,levels of renal fibrosis markers(α-SMA,FN)and TGF-β1/Smad3 signaling axis proteins(p-Smad3,Smad3,TGF-β1)were increased;these effects were reversed by SXK.In vitro,DANCR knockdown decreased the expres-sion of fibrotic proteins/mRNA and TGF-β1/Smad3 signaling axis components.SXK treatment effectively counteracted the fibrotic injury and TGF-β1/Smad3 signaling axis activation induced by DANCR overexpression.CONCLUSION:SXK ef-fectively mitigates renal fibrosis in UUO mice,potentially through regulation of the DANCR/TGF-β1/Smad3 signaling axis.