Objective To explore the mechanism of antiplatelet drugs in the treatment of acute lung injury based on the strategy of network pharmacology.Methods The targets of antiplatelet drugs were predicted by SwissTargetPrediction platform,and the related targets of acute lung injury were obtained by GeneCards and OMIM databases.The protein interaction network was constructed through the STRING platform.The CytoHubba and MCODE plug-ins in Cytoscape software were used to screen out the core targets and highly connected target clusters for the treatment of acute lung injury.The DAVID database was used to analyze the gene ontology(GO)bioprocess and Kyoto encyclopedia of genes and genomes(KEGG)signaling pathway enrichment of the core targets.Finally,AutoDockTools software was used for molecular docking verification.Results A total of 20 core targets for antiplatelet drugs in the treatment of acute lung injury were screened,among which the top three core targets were proto-oncogene tyrosine-protein kinase(SRC),phosphoinositide-3-kinase regulatory subunit 1(PIK3R1)and signal transducer and activator of transcription 3(STAT3).Antiplatelet drugs may play a role in the treatment of acute lung injury by regulating epidermal growth factor receptor(ErbB)signaling pathway,positive programmed death receptor-1(PD-1)/programmed death receptor ligand-1(PD-L1)signaling pathway and Janus activated kinase/signal transducer and activator of transcription(JAK-STAT)signaling pathway.Molecular docking results further showed that antiplatelet drugs could bind well to core targets.Conclusion This study elucidated the possible mechanism of antiplatelet drugs in the treatment of acute lung injury from a systematic and holistic perspective,and provided new ideas for further study of the pharmacological mechanism of antiplatelet drugs in the treatment of acute lung injury.

Objective: To explore the feasibility of remotely obtaining complex information on traditional Chinese medicine (TCM) pulse conditions through voice signals. Methods: We used multi-label pulse conditions as the entry point and modeled and analyzed TCM pulse diagnosis by combining voice analysis and machine learning. Audio features were extracted from voice recordings in the TCM pulse condition dataset. The obtained features were combined with information from tongue and facial diagnoses. A multi-label pulse condition voice classification DNN model was built using 10-fold cross-validation, and the modeling methods were validated using publicly available datasets. Results: The analysis showed that the proposed method achieved an accuracy of 92.59% on the public dataset. The accuracies of the three single-label pulse manifestation models in the test set were 94.27%, 96.35%, and 95.39%. The absolute accuracy of the multi-label model was 92.74%. Conclusion Voice data analysis may serve as a remote adjunct to the TCM diagnostic method for pulse condition assessment.

The breakage pattern of unit particles during the production of oral solid dosage forms (OSD) is closely related to the quality of intermediate or final products. To accurately characterize the particles and study the evolution law of particle breakage, the Bonding model of the discrete element method (DEM) was used to investigate the breakage patterns of model parameters, particle shape and process conditions (loading mode and loading rate) on the dynamic breakage, force-time curve, breakage rate, maximum breakage size ratio and fracture strength of particles. The results showed that the particle breakage force was positively correlated with normal strength and bonded disk scale, negatively correlated with normal stiffness per unit area and tangential stiffness per unit area, and weakly correlated with tangential strength. The particle breakage rate was negatively correlated with the aspect ratio of the particles, and the maximum breakage size ratio was positively correlated with the aspect ratio of the particles; among the three loading modes, the breakage rate of compression breakage model was the largest, the breakage rate of shear breakage model was the second largest, and the breakage rate of wear breakage model was the smallest; the maximum breakage size ratio was positively correlated with the loading rate, the loading mode and the loading rate had no mutual influence on particle breakage rate, but had mutual influence on the maximum breakage size ratio. The research results will provide a theoretical basis for the shift of OSD from batch manufacturing to advanced manufacturing.

Idiosyncratic drug-induced liver injury (IDILI) has long posed a challenging and pivotal concern in pharmaceutical research. The complex composition of traditional Chinese medicine (TCM) has introduced a bottleneck in current research, hindering the elucidation of the component basis associated with IDILI in TCM. Using Epimedii Folium (EF) and Psoraleae Fructus (PF) as illustrative examples, this study endeavors to establish an in vitro evaluation model, providing a high-throughput and preliminary assessment method for screening components related to TCM-induced IDILI. A TNF-α-mediated HepG2 susceptible model was first established in this study, with the focus on the index components present in EF and PF. The release of lactate dehydrogenase (LDH) in the cell supernatant served as the detection index. A concentration-toxicity response curve was constructed, and the hepatotoxic components of EF and PF were identified utilizing the synergistic toxicity index. The LDH results unveiled the hepatotoxic effects of bavachin, backuchiol, isobavachin, neobavaisoflavone, psoralidin, isobavachalcone, icarisid I, and icarisid II on both normal and susceptible cells, categorizing these 8 components as both direct hepatotoxicity components and idiosyncratic hepatotoxicity components. Bavachin and neobavaisoflavone exhibited no hepatotoxicity on normal cells but demonstrated significant effects on susceptible cells, designating them as potential idiosyncratic susceptible hepatotoxicity components. The study further delineated that 10 EF components and 3 PF components were direct immune-promoting hepatotoxicity components. Additionally, 14 idiosyncratic immune-promoting hepatotoxicity components were identified, encompassing 10 EF components and 4 PF components, with neobavaisoflavone, bavachinin, and isobavachin being potential idiosyncratic susceptible immune-promoting hepatotoxicity components. Synergistic toxicity index results indicated that 13 idiosyncratic immune-promoting hepatotoxicity components (except anhydroicaritin) combined with bavachin demonstrated synergistic hepatotoxicity on susceptible cells. Notably, 3 idiosyncratic susceptible immune-promoting hepatotoxicity components combined with bavachin exhibited synergistic hepatotoxicity, with neobavaisoflavone displaying the highest synergistic toxicity index and bavachinin the lowest. In summary, this methodology successfully screens hepatotoxic and immune-promoting hepatotoxic components in EF and PF, distinguishing the types of components inducing hepatotoxicity, evaluating the hepatotoxicity degree of each component, and elucidating the synergistic relationships among them. Importantly, these findings align with the characteristics of IDILI. The method provides an effective model tool for the fundamental research of TCM-related IDILI components.

Objective To analyze the feasibility and efficacy of a deep convolutional neural network(DCNN)model based on chest CT images to evaluate bone mineral density(BMD).Methods A total of 1 048 health check subjects'2 096 central level images of lumbar 1 and 2 vertebral bodies were used for experiments and analysis in this retrospective study.According to the results of quanti-tative computed tomography(QCT)BMD measurement,the subjects were divided into three categories:normal,osteopenia,osteopo-rosis(OP).Herein,a DCNN segmentation model was constructed based on chest CT images[training set(n=1 096),tuning set(n=200),and test set(n=800)],the segmentation performance was evaluated using the Dice similarity coefficient(DSC)to com-pare the consistency with the manually sketched region of vertebral body.Then,the DCNN classification models 1(fusion feature construction of lumbar 1 and 2 vertebral bodies)and model 2(image feature construction of lumbar 1 alone)was developed based on the training set(n=530).Model performance was compared in a test set(n=418)by the receiver operating characteristic(ROC)curve analysis.Results When the number of images in the training set(n=300)was adopted,the DSC value was 0.950 in the test set.The results showed that the sensitivity,specificity and area under the curve(AUC)of model 1 and model 2 in diagno-sing osteopenia and OP were 0.716,0.960,0.952;0.941,0.948,0.980;0.638,0.954,0.940;0.843,0.959,0.978,respectively.The AUC value of normal model 1 was higher than that of model 2(0.990 vs 0.983,P=0.033),while there was no significant difference in AUC values between osteopenia and OP(P=0.210,0.546).Conclusion A DCNN may have the potential to evaluate bone mass based on chest CT images,which is expected to become an effective tool for OP screening.

Objective:To investigate the relationship between preoperative plasma fibrin degradation products (FDP) level and clinicopathological features of patients with completely resected non-small cell lung cancer (NSCLC).Methods:A retrospective case series study was performed. The clinical data of 521 patients who were pathologically diagnosed with NSCLC in Beijing Friendship Hospital Affiliated to Capital Medical University from January 2016 to December 2017 were retrospectively analyzed. Among 521 cases, 406 cases were postoperatively pathologically confirmed as non-lymph node and non-distant metastasis (non-metastasis group) and 115 cases were postoperatively pathologically confirmed as lymph node or distant metastasis (metastasis group). The preoperative FDP level and clinicopathological characteristics as well as the clinicopathological characteristics of NSCLC patients with different FDP levels were compared between the two groups. The correlation between preoperative FDP level and TNM staging was analyzed by using Spearman correlation analysis.Results:Among 521 NSCLC patients, 266 cases were female, 255 cases were male; the age [ M( Q1, Q3)] was 59 years (54 years, 65 years); 441 cases were adenocarcinoma and 70 cases were squamous cell carcinoma. The preoperative median FDP level was 2.78 mg/L (2.35 mg/L, 3.13 mg/L) and 2.99 mg/L (2.56 mg/L, 4.16 mg/L), respectively of NSCLC patients in non-metastasis group and metastasis group, and the difference was statistically significant ( Z = 6.13, P < 0.001). The preoperative FDP level was 2.56 mg/L (2.35 mg/L, 3.20 mg/L) and 2.99 mg/L (2.56 mg/L, 3.20 mg/L), respectively in the early-stage NSCLC (stage Ⅰ-Ⅱ) and advanced NSCLC (stage Ⅲ-Ⅳ) patients, and the difference was statistically significant ( Z = 8.42, P < 0.001). Spearman correlation analysis showed that preoperative FDP level was positively correlated with tumor diameter ( r = 0.287, P < 0.001). There was a positive correlation between preoperative FDP level and the number of metastatic lymph nodes in 115 patients with lymph node metastasis ( r = 0.679, P < 0.001). According to the preoperative median FDP (2.78 mg/L), all patients were divided into FDP ≤2.78 mg/L group and FDP >2.78 mg/L, and there were statistically significant differences in age, metastasis, tumor staging, tumor diameter, the metastatic number of lymph node and histological types of NSCLC patients in both groups (all P < 0.05). Conclusions:The increase of preoperative plasma FDP level may be related to the tumor metastasis and clinical stage of NSCLC patients

Objective To screen differentially expressed long non-coding RNAs (lncRNAs) in the liver of mice infected with Schistosoma japonicum during the chronic pathogenic stage and identify their functions, so as to provide insights into unravelling the role of lncRNAs in S. japonicum infection-induced liver disorders. Methods Twenty 6-week-old C57BL/6 mice were randomly divided into two groups, of 10 animals each group. Each mouse in the experimental group was infected with (15 ± 2) S. japonicum cercariae via the abdomen for modeling chronic S. japonicum infection in mice, and distilled water served as controls. All mice were sacrificed 70 days post-infection, and mouse liver specimens were sampled for RNA extraction and library construction. All libraries were sequenced on the Illumina NovaSeq 6000 sequencing platform. Data cleaning was performed using the fastp software, and reference genome alignment and gene expression (FPKM) calculation were performed using the HISAT2 software. Potential lncRNA sequences were predicted using the software CNIC, CPC, Pfam, and PLEK, and potential lncRNAs were screened. Differentially expressed lncRNAs were screened with the DESeq2 software and subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses to identify biological processes and metabolic pathways involved in target genes of differentially expressed lncRNAs. Results A total of 333 potential lncRNAs were screened, and 67 were identified as differentially expressed lncRNAs, including 49 up-regulated and 18 down-regulated lncRNAs. A total of 53 target genes were predicted for differentially expressed lncRNAs. GO enrichment analysis showed that these target genes were mainly enriched in biological process and molecular function, among which Sema7a, Arrb1, and Ccl21b genes may be hub target genes for positive regulation of extracellular regulated protein kinase 1 (ERK1) and ERK2 cascades and may participate in the regulation of collagen expression. KEGG enrichment analysis showed that the target genes of differentially expressed lncRNAs were mainly enriched in cytokine-cytokine receptor interaction, viral protein interactions with cytokines and cytokine receptors, chemokine signaling pathway, and nuclear factor kappa-B (NF-κB) signaling pathway. Conclusions This study identifies differentially expressed lncRNAs and functional enrichment of their target genes in the liver of mice during the chronic pathogenic stage of S. japonicum infection. Up-regulated lncRNAs may affect biological processes of ERK1/2 cascades and chemokine signaling pathways via target genes Sema7a, Arrb1, and Ccl21b, thereby affecting collagen expression and inflammatory signal pathways, ultimately affecting the development of liver disorders.

The goal of achieving elimination of schistosomiasis across all endemic counties in China by 2030 was proposed in the Outline of the Healthy China 2030 Plan. On June 16, 2023, the Action Plan to Accelerate the Elimination of Schistosomiasis in China (2023—2030) was jointly issued by National Disease Control and Prevention Administration and other 10 ministries, which deployed the targets and key tasks of the national schistosomiasis elimination programme in China. This article describes the progress of the national schistosomiasis control programme, analyzes the opportunities to eliminate schistosomiasis, and proposes targeted recommendations to tackle the challenges of schistosomiasis elimination, so as to accelerate the process towards schistosomiasis elimination and facilitate the building of a healthy China.

Objective To explore the preference of medical staff in public hospitals for various incentive factors,and to provide theoretical basis for the hospital to formulate a reasonable incentive system and stimulate the enthusiasm of medical staff.Methods Based on the discrete choice experiment,it was conducted from March 2023 to June 2023,through the method of multistage stratified random sampling,the medical staff of a general hospital,a Traditional Chinese Medical Hospital and a maternal and child health hospital in one city in the east,west,south,north and middle of Hainan Province were investigated by questionnaire,and analyzed their incentive preference and willingness to pay by using the mixed logit model.Results All the six attributes have significant influence on medical staff's incentive preference,among which,medical staff prefer to choose the incentive effect brought by the annual salary of 350 000 yuan,good working atmosphere and working intensity of 8 hours,while hospital development has little influence on incentive preference.Among the non-economic factors,when the working atmosphere changes from depression to good,they are willing to get an annual salary of 168 305.4 yuan less,while when the hospital development changes from nothing to good,they are only willing to get an annual salary of 12 433.14 yuan less.Conclusion According to the different incentive needs of medical staff,it is more helpful to formulate accurate incentive schemes and adopt economic and non-economic incentive means to stabilize the hospital talent team and improve work enthusiasm.

Objective To explore the preference of medical staff in public hospitals for various incentive factors,and to provide theoretical basis for the hospital to formulate a reasonable incentive system and stimulate the enthusiasm of medical staff.Methods Based on the discrete choice experiment,it was conducted from March 2023 to June 2023,through the method of multistage stratified random sampling,the medical staff of a general hospital,a Traditional Chinese Medical Hospital and a maternal and child health hospital in one city in the east,west,south,north and middle of Hainan Province were investigated by questionnaire,and analyzed their incentive preference and willingness to pay by using the mixed logit model.Results All the six attributes have significant influence on medical staff's incentive preference,among which,medical staff prefer to choose the incentive effect brought by the annual salary of 350 000 yuan,good working atmosphere and working intensity of 8 hours,while hospital development has little influence on incentive preference.Among the non-economic factors,when the working atmosphere changes from depression to good,they are willing to get an annual salary of 168 305.4 yuan less,while when the hospital development changes from nothing to good,they are only willing to get an annual salary of 12 433.14 yuan less.Conclusion According to the different incentive needs of medical staff,it is more helpful to formulate accurate incentive schemes and adopt economic and non-economic incentive means to stabilize the hospital talent team and improve work enthusiasm.