ObjectiveTraditional Chinese medicine (TCM) constitutes a valuable cultural heritage and an important source of antitumor compounds. Poria (Poria cocos (Schw.) Wolf), the dried sclerotium of a polyporaceae fungus, was first documented in Shennong’s Classic of Materia Medica and has been used therapeutically and dietarily in China for millennia. Traditionally recognized for its diuretic, spleen-tonifying, and sedative properties, modern pharmacological studies confirm that Poria exhibits antioxidant, anti-inflammatory, antibacterial, and antitumor activities. Pachymic acid (PA; a triterpenoid with the chemical structure 3β-acetyloxy-16α-hydroxy-lanosta-8,24(31)-dien-21-oic acid), isolated from Poria, is a principal bioactive constituent. Emerging evidence indicates PA exerts antitumor effects through multiple mechanisms, though these remain incompletely characterized. Neuroblastoma (NB), a highly malignant pediatric extracranial solid tumor accounting for 15% of childhood cancer deaths, urgently requires safer therapeutics due to the limitations of current treatments. Although PA shows multi-mechanistic antitumor potential, its efficacy against NB remains uncharacterized. This study systematically investigated the potential molecular targets and mechanisms underlying the anti-NB effects of PA by integrating network pharmacology-based target prediction with experimental validation of multi-target interactions through molecular docking, dynamic simulations, and in vitro assays, aimed to establish a novel perspective on PA’s antitumor activity and explore its potential clinical implications for NB treatment by integrating computational predictions with biological assays. MethodsThis study employed network pharmacology to identify potential targets of PA in NB, followed by validation using molecular docking, molecular dynamics (MD) simulations, MM/PBSA free energy analysis, RT-qPCR and Western blot experiments. Network pharmacology analysis included target screening via TCMSP, GeneCards, DisGeNET, SwissTargetPrediction, SuperPred, and PharmMapper. Subsequently, potential targets were predicted by intersecting the results from these databases via Venn analysis. Following target prediction, topological analysis was performed to identify key targets using Cytoscape software. Molecular docking was conducted using AutoDock Vina, with the binding pocket defined based on crystal structures. MD simulations were performed for 100 ns using GROMACS, and RMSD, RMSF, SASA, and hydrogen bonding dynamics were analyzed. MM/PBSA calculations were carried out to estimate the binding free energy of each protein-ligand complex. In vitro validation included RT-qPCR and Western blot, with GAPDH used as an internal control. ResultsThe CCK-8 assay demonstrated a concentration-dependent inhibitory effect of PA on NB cell viability. GO analysis suggested that the anti-NB activity of PA might involve cellular response to chemical stress, vesicle lumen, and protein tyrosine kinase activity. KEGG pathway enrichment analysis suggested that the anti-NB activity of PA might involve the PI3K/AKT, MAPK, and Ras signaling pathways. Molecular docking and MD simulations revealed stable binding interactions between PA and the core target proteins AKT1, EGFR, SRC, and HSP90AA1. RT-qPCR and Western blot analyses further confirmed that PA treatment significantly decreased the mRNA and protein expression of AKT1, EGFR, and SRC while increasing the HSP90AA1 mRNA and protein levels. ConclusionIt was suggested that PA may exert its anti-NB effects by inhibiting AKT1, EGFR, and SRC expression, potentially modulating the PI3K/AKT signaling pathway. These findings provide crucial evidence supporting PA’s development as a therapeutic candidate for NB.

Objectives: . Endotype-based interventions have shown promise in the treatment of patients with obstructive sleep apnea, and upper airway surgery is a key therapeutic option. However, responses to surgery vary among patients with obstructive sleep apnea. This study aims to examine changes in endotypic traits following upper airway surgery and to explore their association with surgical outcomes. Methods: . We prospectively recruited 25 patients with obstructive sleep apnea who visited a single sleep center for upper airway surgery. These patients underwent polysomnographic studies both before and after surgical intervention. During non-rapid eye movement and rapid eye movement sleep, we estimated endotypic traits—including collapsibility (Vpassive), arousal threshold, loop gain, and upper airway compensation—with the phenotyping using polysomnography method. Based on improvements in the apnea-hypopnea index, patients were classified as either responders or non-responders. We compared the preoperative endotypic traits between these groups using Mann-Whitney tests. Additionally, we compared changes in endotypic traits pre- and post-surgery between responders and non-responders using generalized linear mixed models. Results: . We identified 12 responders and 13 non-responders. Compared to non-responders, responders exhibited improved collapsibility during rapid eye movement sleep (22.3 vs. −8.2%eupnea in Vpassive, P=0.01), and their arousal threshold decreased during non-rapid eye movement sleep (−22.4%eupnea, P=0.02). No endotypic trait predicted surgical response; however, the apnea-hypopnea index during rapid eye movement sleep was higher among responders than non-responders (51.8/hr vs. 34.4/hr, P=0.05). Conclusion . Upper airway surgery significantly reduced collapsibility during rapid eye movement sleep in responders. The target pathology for upper airway surgery is a compromised upper airway during rapid eye movement sleep.

ObjectiveTo combine metabolomics， proteomics， and transcriptomics to analyze the biological characteristics of damp-heat toxin accumulation syndrome and damp-heat accumulation syndrome in acute gout. MethodsBlood samples were collected from 15 patients with damp-heat toxin accumulation syndrome and 15 patients with damp-heat accumulation syndrome in acute gout in clinical practice. Metabolomics technology was applied to detect serum metabolites， and an orthogonal partial sample least squares discriminant analysis model was constructed to screen for metabolites with significant intergroup changes， and enrichment pathway analysis and receiver operating characteristic （ROC） curve analysis were performed. Astral data independence acquisition （DIA） was used to detect serum proteins， perform principal component analysis and screen differential proteins， demonstrate differential ploidy by radargram， apply subcellular localisation to analyse protein sources， and finally apply weighted gene co-expression network analysis （WGCNA） to find key proteins. Transcriptome sequencing technology was also applied to detect whole blood mRNA， screen differential genes and perform WGCNA， and construct machine learning models to screen key genes. ResultsMetabolome differential analysis revealed 62 differential metabolites in positive ion mode and 26 in negative ion mode. These differential metabolites were mainly enriched in the mTOR signaling pathway and FoxO signaling pathway， with trans-3,5-dimethoxy-4-hydroxycinnamaldehyde， guanabenz， 4-aminophenyl-1-thio-beta-d-galactopyranoside showing the highest diagnostic efficacy. The proteome differential analysis found that 55 proteins up-regulated and 20 proteins down-regulated in the samples of damp-heat toxin accumulation syndrome. Notably， myelin basic protein （MBP）， transferrin （TF）， DKFZp686N02209， and apolipoprotein B （APOB） showed the most significant differences in expression. Differential proteins were mainly enriched in pathways related to fat digestion and absorption， lipid and atherosclerosis， and cholesterol metabolism. WGCNA showed the highest correlation between damp-heat toxin accumulation syndrome and the brown module， with proteins in this module primarily enriched in the hypoxia-inducible factor 1 （HIF-1） signaling pathway and lipid and atherosclerosis. Transcriptomic differential analysis identified 252 differentially expressed genes， with WGCNA indicating the highest correlation between damp-heat toxin accumulation syndrome and the midnight blue module. The random forest （RF） model was identified as the optimal machine learning model， predicting apolipoprotein B receptor （APOBR）， far upstream element-binding protein 2 （KHSRP）， POU domain class 2 transcription factor 2 （POU2F2）， EH domain-containing protein 1 （EHD1）， and family with sequence similarity 110A （FAM110A） as key genes. Integrated multi-omics analysis suggested that damp-heat toxin accumulation syndrome in the acute phase of gout is closely associated with lipid metabolism， particularly APOB. ConclusionCompared to damp-heat accumulation syndrome in the acute phase of gout， damp-heat toxin accumulation syndrome is more closely associated with lipid metabolism， particularly APOB， and lipid metabolism disorders contribute to the development of damp-heat toxin accumulation syndrome in patients with acute gout.

Objectives: . Endotype-based interventions have shown promise in the treatment of patients with obstructive sleep apnea, and upper airway surgery is a key therapeutic option. However, responses to surgery vary among patients with obstructive sleep apnea. This study aims to examine changes in endotypic traits following upper airway surgery and to explore their association with surgical outcomes. Methods: . We prospectively recruited 25 patients with obstructive sleep apnea who visited a single sleep center for upper airway surgery. These patients underwent polysomnographic studies both before and after surgical intervention. During non-rapid eye movement and rapid eye movement sleep, we estimated endotypic traits—including collapsibility (Vpassive), arousal threshold, loop gain, and upper airway compensation—with the phenotyping using polysomnography method. Based on improvements in the apnea-hypopnea index, patients were classified as either responders or non-responders. We compared the preoperative endotypic traits between these groups using Mann-Whitney tests. Additionally, we compared changes in endotypic traits pre- and post-surgery between responders and non-responders using generalized linear mixed models. Results: . We identified 12 responders and 13 non-responders. Compared to non-responders, responders exhibited improved collapsibility during rapid eye movement sleep (22.3 vs. −8.2%eupnea in Vpassive, P=0.01), and their arousal threshold decreased during non-rapid eye movement sleep (−22.4%eupnea, P=0.02). No endotypic trait predicted surgical response; however, the apnea-hypopnea index during rapid eye movement sleep was higher among responders than non-responders (51.8/hr vs. 34.4/hr, P=0.05). Conclusion . Upper airway surgery significantly reduced collapsibility during rapid eye movement sleep in responders. The target pathology for upper airway surgery is a compromised upper airway during rapid eye movement sleep.

Objectives: . Endotype-based interventions have shown promise in the treatment of patients with obstructive sleep apnea, and upper airway surgery is a key therapeutic option. However, responses to surgery vary among patients with obstructive sleep apnea. This study aims to examine changes in endotypic traits following upper airway surgery and to explore their association with surgical outcomes. Methods: . We prospectively recruited 25 patients with obstructive sleep apnea who visited a single sleep center for upper airway surgery. These patients underwent polysomnographic studies both before and after surgical intervention. During non-rapid eye movement and rapid eye movement sleep, we estimated endotypic traits—including collapsibility (Vpassive), arousal threshold, loop gain, and upper airway compensation—with the phenotyping using polysomnography method. Based on improvements in the apnea-hypopnea index, patients were classified as either responders or non-responders. We compared the preoperative endotypic traits between these groups using Mann-Whitney tests. Additionally, we compared changes in endotypic traits pre- and post-surgery between responders and non-responders using generalized linear mixed models. Results: . We identified 12 responders and 13 non-responders. Compared to non-responders, responders exhibited improved collapsibility during rapid eye movement sleep (22.3 vs. −8.2%eupnea in Vpassive, P=0.01), and their arousal threshold decreased during non-rapid eye movement sleep (−22.4%eupnea, P=0.02). No endotypic trait predicted surgical response; however, the apnea-hypopnea index during rapid eye movement sleep was higher among responders than non-responders (51.8/hr vs. 34.4/hr, P=0.05). Conclusion . Upper airway surgery significantly reduced collapsibility during rapid eye movement sleep in responders. The target pathology for upper airway surgery is a compromised upper airway during rapid eye movement sleep.

ObjectiveTo investigate the ability of chimeric antigen receptor T-cell with programmed cell death-1 （PD-1） knockdown （si-PD-1 CAR-T） targeting folate receptor alpha （FRα） to eliminate hepatoma cells. MethodsThe bioinformatics database TCGA was used to analyze the expression level of FRα antigen in liver cancer tissue and normal liver tissue and the association between FRα expression and the survival of liver cancer patients. The mRNA encoding the CAR structure targeting FRα antigen and the small interfering RNA （siRNA） targeting the PD-1 gene were transduced into T cells using an electroporator to prepare FRα-CAR-T and si-PD-1-CAR-T cells. Flow cytometry was used to analyze the expression efficiency of FRα-CAR and the knockdown efficiency of PD-1. Hepatoma cell lines JHH-1 and Hep-G2 were cultured in vitro， and flow cytometry was used to analyze the expression of FRα on the surface of tumor cells. With FRα-CAR-T， si-PD-1 CAR-T， and mock vector-transduced T cells （Mock T） used as effector cells and with JHH-1 and Hep-G2 cells as target cells， CCK-8 assay was used to measure the killing efficiency of effector cells against target cells at different effector-to-target ratios （1∶1， 2.5∶1，5∶1，10∶1，20∶1）. ELISA was used to measure the secretion of interferon gamma （IFN-γ） and interleukin-2 （IL-2） in the supernatants from co-cultures of effector and target cells （10∶1）. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， while a one-way analysis of variance was used for comparison between multiple groups， and the SNK test was used for further comparison between two groups. The Kaplan-Meier method was used for comparison of survival differences. ResultsThe analysis of the TCGA database showed that there was a significant increase in the expression level of FOLR1 in liver cancer tissue， and liver cancer patients with high expression of FOLR1 had a significantly shorter overall survival than those with low expression （P=0.013）. After transduction of mRNA into T cells， the expression rate of FRα-CAR reached 89.8% in CAR-T and 84.7% in si-PD-1 CAR-T cells， and co-transfection with mRNA and siRNA could downregulate PD-1 in T cells and maintain a low expression state for at least 7 days. The expression rate of FRα antigen was 100% in JHH-1 cells， while it showed negative expression in Hep-G2 cells. CCK-8 assay showed that the killing efficiency of si-PD-1-CAR-T against JHH-1 cells was significantly higher than that against FRα-CAR-T cells （P<0.05）. ELISA showed that compared with Mock T cells， FRα-CAR-T cells co-cultured with JHH-1 cells showed significant increases in the secretion of IL-2 （1 032.50±135.90 pg/mL vs 50.26±7.87 pg/mL，P<0.001） and IFN-γ （1 430.56±184.20 pg/mL vs 89.05±11.26 pg/mL，P<0.001）， and in addition， the release levels of IFN-γ and IL-2 after co-culture of si-PD-1-CAR-T and JHH-1 cells were significantly higher than the release level of FRα-CAR-T （P<0.05）. ConclusionFRα is a potential target for liver cancer treatment， and PD-1 knockdown in T cells can significantly enhance the in vitro killing activity of FRα-CAR-T cells.

Objective To compare the role and importance of fibular fixation in tibiofibular fractures by Meta-analysis.Methods The literature related to the comparison of the efficacy of fixation of the fibula with or without fixation on the treatment of tibiofibular fractures was searched through the databases of China Knowledge Network,Wipu,Wanfang,The Cochrane Li-brary,Web of science and Pubmed,and statistical analysis was performed using RevMan 5.3 software.The rates of malrotation,rotational deformity,internal/external deformity,anterior/posterior deformity,non-union,infection,secondary surgery and op-erative time were compared between the fibula fixation and non-fixation groups.Results A total of 11 publications were includ-ed,six randomised controlled trials and five case-control trials,eight of which were of high quality.A total of 813 cases were in-cluded,of which 383 were treated with fibula fixation and 430 with unfixed fibulae.Meta-analysis results showed that fixation of the fibulae in the treatment of tibiofibular fractures reduced the rates of postoperative rotational deformity[RR=0.22,95％CI(0.10,0.45),P＜0.000 1]and internal/external deformity[RR=0.34,95％CI(0.14,0.84),P=0.02]and promoted fracture heal-ing[RR=0.76,95％CI(0.58,0.99),P=0.04].In contrast,the rates of poor reduction[RR=0.48,95％CI(0.10,2.33),P=0.36],anterior/posterior deformity[RR=1.50,95％CI(0.76,2.96),P=0.24],infection[RR=1.43,95％CI(0.76,2.72),P=0.27],sec-ondary surgery[RR=1.32,95％CI(0.82,2.11),P=0.25],and operative time[MD=10.21,95％CI(-17.79,38.21),P=0.47]were not statistically significant(P＞0.05)for comparison.Conclusion Simultaneous fixation of the tibia and fibula is clinically more effective in the treatment of tibiofibular fractures.

Nanozyme is novel nanoparticle with enzyme-like activity, which can be classified into peroxidase-like nanozyme, catalase-like nanozyme, superoxide dismutase-like nanozyme, oxidase-like nanozyme and hydrolase-like nanozyme according to the type of reaction they catalyze. Since researchers first discovered Fe₃O₄ nanoparticles with peroxidase-like activity in 2007, a variety of nanoparticles have been successively found to have catalytic activity and applied in bioassays, inflammation control, antioxidant damage and tumor therapy, playing a key role in disease diagnosis and treatment. We summarize the use of nanozymes with different classes of enzymatic activity in the diagnosis and treatment of diseases and describe the main factors influencing nanozyme activity. A Mn-based peroxidase-like nanozyme that induces the reduction of glutathione in tumors to produce glutathione disulfide and Mn²⁺, which induces the production of reative oxygen species (ROS) in tumor cells by breaking down H₂O₂ in physiological media through Fenton-like action, thereby inhibiting tumor cell growth. To address the limitation of tumor tissue hypoxia during photodynamic tumor therapy, the effect of photodynamic therapy is significantly enhanced by using hydrogen peroxide nanozymes to catalyze the production of oxygen from H₂O₂. In pathological states, where excess superoxide radicals are produced in the body, superoxide dismutase-like nanozymes are able to selectively regulate intracellular ROS levels, thereby protecting normal cells and slowing down the degradation of cellular function. Based on this principle, an engineered nanosponge has been designed to rapidly scavenge free radicals and deliver oxygen in time to save nerve cells before thrombolysis. Starvation therapy, in which glucose oxidase catalyzes the hydrolysis of glucose to gluconic acid and hydrogen peroxide in cancer cells with the involvement of oxygen, attenuates glycolysis and the production of intermediate metabolites such as nucleotides, lipids and amino acids, was used to synthesize an oxidase-like nanozyme that achieved effective inhibition of tumor growth. Furthermore, by fine-tuning the Lewis acidity of the metal cluster to improve the intrinsic activity of the hydrolase nanozyme and providing a shortened ligand length to increase the density of its active site, a hydrolase-like nanozyme was successfully synthesized that is capable of cleaving phosphate bonds, amide bonds, glycosidic bonds and even biofilms with high efficiency in hydrolyzing the substrate. All these effects depend on the size, morphology, composition, surface modification and environmental media of the nanozyme, which are important aspects to consider in order to improve the catalytic efficiency of the nanozyme and have important implications for the development of nanozyme. Although some progress has been made in the research of nanozymes in disease treatment and diagnosis, there are still some problems, for example, the catalytic rate of nanozymes is still difficult to reach the level of natural enzymes in vivo, and the toxic effects of some heavy metal nanozymes material itself. Therefore, the construction of nanozyme systems with multiple functions, good biocompatibility and high targeting efficiency, and their large-scale application in diagnosis and treatment is still an urgent problem to be solved. (1) To improve the selectivity and specificity of nanozymes. By using antibody coupling, the nanoparticles are able to specifically bind to antigens that are overexpressed in certain cancer cells. It also significantly improves cellular internalization through antigen-mediated endocytosis and enhances the enrichment of nanozymes in target tissues, thereby improving targeting during tumor therapy. Some exogenous stimuli such as laser and ultrasound are used as triggers to control the activation of nanozymes and achieve specific activation of nanozyme. (2) To explore more practical and safer nanozymes and their catalytic mechanisms: biocompatible, clinically proven material molecules can be used for the synthesis of nanoparticles. (3) To solve the problem of its standardization and promote the large-scale clinical application of nanozymes in biomonitoring. Thus, it can go out of the laboratory and face the market to serve human health in more fields, which is one of the future trends of nanozyme development.

BackgroundThe existing tools in China for assessing psychiatric nurses' knowledge， attitude and practice towards the use of protective restraint do not sufficiently consider the specialty in psychiatric practice， and the scale items are somewhat cumbersome to use， which together restrict their further promotion and application. Accordingly， there is an urgent need for developing a more scientific assessment tool. ObjectiveTo construct a scale for assessing psychiatric nurses' knowledge， attitude and practice towards the use of protective restraint and to verify its reliability and validity， so as to provide a generic tool for the assessment. MethodsBased on the theoretical framework of the knowledge-attitude-practice model， the preliminary scale was formed through systematic literature review， qualitative interview and Delphi method. From July to December 2021， a stratified sampling was utilized to select 729 psychiatric nurses from tertiary， secondary and primary （including unclassified medical institutions and grassroots hospitals） psychiatric hospitals in Guangdong Province. The formal scale was developed through item analysis， exploratory factor analysis and confirmatory factor analysis. The validity of the scale was evaluated by content validity and structure validity， and the reliability was verified by procedures including Cronbach's α coefficient， test-retest reliability， and split-half reliability. ResultsA total of 12 items of three dimensions （knowledge， attitude， practice） were included in the scale for assessing psychiatric nurses' knowledge， attitude and practice towards the use of protective restraint. The scale-level content validity index （S-CVI） was 0.941， and the item-level content validity index （I-CVI） ranged from 0.812 to 1.000. Exploratory factor analysis extracted three common factors， and the cumulative variance contribution rate was 62.948%. The confirmatory factor yielded adequate fit. Cronbach's α coefficient was found to be 0.887 for the scale， 0.819 for knowledge dimension， 0.842 for attitude dimension， and 0.831 for practice dimension. The split-half reliability and test-retest reliability for the scale were 0.712 and 0.922， respectively. ConclusionThe scale shows satisfactory reliability and validity， which can be used to assess psychiatric nurses' knowledge， attitude and practice towards the use of protective restraint. ［Funded by Guangdong Clinical Teaching Base Teaching Reform Research Project （number， 2021JD119）］

In recent years,the international drug control situation has become increasingly serious.According to the statistical data of the year 2021 from UNODC,in the past decade,the trafficking volume of traditional drug(such as methamphetamine,cannabis and cocaine)has continued to rise,new psychoactive substances(NPS)have emerged one after another,the drugs as well as their precursors and metabolites have become a new group of pollutants.They widely exist in environmental media such as water,air,sludge and soil,due to the manufacture and abuse of drugs,which endangers human and animal safety.Drug detection data from environmental samples can reflect the local drug use situation objectively,real-time,accurately and effectively,which is helpful to grasp the spatial distribution and time changes,monitor the development trends of drug abuse,assess the trend of drug abuse reasonably,and assist in combating related illegal and criminal activities through comprehensive data analysis.At present,sewage monitoring has become an important means of drug monitoring in countries around the world.Sewage testing can assess drug consumption in a place reasonably,and sewage network traceability technology can reduce the scope of regional investigation of drug manufacturing dens effectively,so as to combat accurately.Drug detection in the atmosphere,sludge and soil has been carried out in some foreign countries,but it has not been used as a long-term monitoring means.Long-term monitoring of drugs from the environment in a variety of ways not only helps to effectively update the drug situation in the region,but also to better understand local trends in drug use and identify new drugs of abuse.It will provide data support for more accurate monitoring and combating drug crimes in the future.This paper reviews the methods for detecting drugs and other related compounds in different environmental matrices including sewage,atmosphere and sludge in China and other countries,including the study on the sources and forms of related compounds in different environments,the preparation of different matrix samples and the quantitative analysis of drugs from environment,as well as the existing problems and shortcomings of various detection methods.Finally,the drug detection technology and comprehensive monitoring system in the environment are prospected.