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.

This study aims to explore the mechanism of Qingkailing(QKL) Oral Preparation's heat-clearing, detoxifying, mind-tranquilizing effects based on "component-target-efficacy" network. To be specific, the potential targets of the 23 major components in QKL Oral Preparation were predicted by the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) and SwissTargetPrediction. The target genes were obtained based on UniProt. OmicsBean and STRING 10 were used for Gene Ontology(GO) term enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment of the targets. Cytoscape 3.8.2 was employed for visualization and construction of "component-target-pathway-pharmacological effect-efficacy" network, followed by molecular docking between the 23 main active components and 15 key targets. Finally, the lipopolysaccharide(LPS)-induced RAW264.7 cells were adopted to verify the anti-inflammatory effect of six monomer components in QKL Oral Preparation. It was found that the 23 compounds affected 33 key signaling pathways through 236 related targets, such as arachidonic acid metabolism, tumor necrosis factor α(TNF-α) signaling pathway, inflammatory mediator regulation of TRP channels, cAMP signaling pathway, cGMP-PKG signaling pathway, Th17 cell differentiation, interleukin-17(IL-17) signaling pathway, neuroactive ligand-receptor intera-ction, calcium signaling pathway, and GABAergic synapse. They were involved in the anti-inflammation, immune regulation, antipyretic effect, and anti-convulsion of the prescription. The "component-target-pathway-pharmacological effect-efficacy" network of QKL Oral Preparation was constructed. Molecular docking showed that the main active components had high binding affinity to the key targets. In vitro cell experiment indicated that the six components in the prescription(hyodeoxycholic acid, baicalin, chlorogenic acid, isochlorogenic acid C, epigoitrin, geniposide) can reduce the expression of nitric oxide(NO), TNF-α, and interleukin-6(IL-6) in cell supernatant(P<0.05). Thus, the above six components may be the key pharmacodynamic substances of QKL Oral Preparation. The major components in QKL Oral Prescription, including hyodeoxycholic acid, baicalin, chlorogenic acid, isochlorogenic acid C, epigoitrin, geniposide, cholic acid, isochlorogenic acid A, and γ-aminobutyric acid, may interfere with multiple biological processes related to inflammation, immune regulation, fever, and convulsion by acting on the key protein targets such as IL-6, TNF, prostaglandin-endoperoxide synthase 2(PTGS2), arachidonate 5-lipoxygenase(ALOX5), vascular cell adhesion molecule 1(VCAM1), nitric oxide synthase 2(NOS2), prostaglandin E2 receptor EP2 subtype(PTGER2), gamma-aminobutyric acid receptor subunit alpha(GABRA), gamma-aminobutyric acid type B receptor subunit 1(GABBR1), and 4-aminobutyrate aminotransferase(ABAT). This study reveals the effective components and mechanism of QKL Oral Prescription.
Chlorogenic Acid ; Drugs, Chinese Herbal/pharmacology* ; gamma-Aminobutyric Acid ; Interleukin-6 ; Medicine, Chinese Traditional ; Molecular Docking Simulation ; Tumor Necrosis Factor-alpha/genetics* ; Animals ; Mice ; RAW 264.7 Cells

AIM To study the chemical constituents from Chloranthus japonicus Sieb..METHODS The ethyl acetate fraction of 95％ ethanol extract from C.japonicus was isolated and purified by silica,Sephadex LH-20,ODS and PHPLC column,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULTS Ten compounds were isolated and identified as p-hydroxyphenethyl (1),diisooctanephthalate (2),diisobutylphthalat (3),umbelliferone (4),ursolic acid (5),7α-hydroxysitosterol (6),chloranthalactone E (7),chloranthalactone B (8),apigenin (9),3-Sitosterol (10).CONCLUSION Compounds 1-3,6 are isolated from genus Chloranthus for the first time,compounds 4,5,9 are first isolated from this plant.

Objective To explore the changes of expression level of four miRNAs ( miRNA -122, miRNA -192, miRNA -193, miRNA -125 b1 ) in isoniazid-induced liver injury rats.Methods The rats were randomly divided into six experimental groups and control group.The experimental groups were given isoniazid orally at 55 mg? kg-1? d-1 for 3 , 7 , 10 , 14 , 21 and 28 days and control group was given saline.The pathological changes of liver were observed by light microscope with HE staining.The activity of serum alanine aminotransferase ( ALT ) and aspartate aminotransferase ( AST ) were measured. The expression of miRNAs were determined by real -time fluorescent quantitative PCR. Results With medication time extension, the expression of miRNA-122, miRNA-192 and miRNA-125b1 declined (P<0.01) and significantly lower in 3 days ( P <0.01 ) .While miRNA -193 increased and had a sharp increase at 10 days ( P <0.01 ) . The pathology of liver tissues indicated that liver injury happened at 7 days. The serum activity of ALT, AST showed a trend of increase and had a sharp increase at 10 days ( P <0.01 ) . The abnormal expression of miRNA-122 , miRNA -192 and miRNA -125 b1 were earlier than ALT, AST and pathological changes and had linear correlation with ALT and AST ( P<0.05).In addition, there were linear correlation between four miRNAs ( P <0.05 ) . Conclusion The abnormal expression of miRNA -122 , miRNA-192 and miRNA-125b1 were earlier than ALT and AST, which might be severed as a novel candidate bio-markers for isoniazid-induced liver injury.

Objective To understand the status and influential factors of those neglect of left-behind children in rural area,and to provide bases for the development of intervention measures.Methods 2917 students were selected as the study subjects from Changfeng county of Anhui province with cluster sampling method and were evaluated by a Parents-Child Conflict Tactics Scales and questionnaire on influential factors.Results 1694 left-behind children,accounted for 58.1％ of the total students,were surveyed in this investigation.The prevalence rates of neglect,among total children,left-behind children,non-left-behind children were 67.4％,70.2％,63.5％,respectively.The prevalence of neglect among left-behind children was higher than that among non-left-behind children (x2=14.322,P＜0.000).There were no significant associations with the neglect rate of left-behind children regarding gender or age differences.Result from multivariate logistic regression analysis indicated that the neglect among the left-behind children were associated with family dysfunction(OR values of moderate and serious family dysfunctions compared to good family function were 1.628 and 2.341,respectively)and the rate of keeping in touch with parents(OR values of sometimes and seldom keeping in touch compared to regular in touch were 1.299 and 1.844,respectively).The starting age of being left-behind(OR values of starting age that being left-behind from 6 to 10 and ≤5 years relative to starting age of left-behind ≥11 years were 0.703 and 0.630,respectively)appeared to be the protection factor to the neglect of those left-behind children.Conclusion Our findings indicated that the status of neglect among the left-behind children was serious.Prevention programs on the issue should target on a number of factors,including the characteristics of the chldren them-selves,as well as on the family of the children.

Child ; Female ; Humans ; Lumbar Vertebrae ; Neuroectodermal Tumors, Primitive ; pathology ; therapy ; Spinal Neoplasms ; pathology ; therapy