Background: Influenza A virus (IAV) is a negative-sense RNA virus of the Orthomyxoviridae family and is the etiological agent of a highly contagious acute respiratory disease that can lead to acute lung injury. Objective: To elucidate the molecular mechanisms of IAV infection, an integrative research approach combining gene expression profiling, multinetwork analysis, and in vivo experimental validations was employed. Methods: First, a series of network-based analyses were performed, including protein-protein interaction network construction, weighted gene co-expression network analysis, and subsequent gene set enrichment analysis, to identify the major underlying mechanisms of IAV infection. Following gene expression analysis, core targets, both direct and indirect regulators, were screened. An IAV (H1N1) strain A/PR/8/34-induced acute lung injury mouse model was constructed for in vivo validations. Batch one included two groups to evaluate findings from the multi-network analysis: Mock (n = 10; 5 males and 5 females) and IAV (n = 10; 5 males and 5 females). Batch two included three groups to assess the role of toll-like receptor 3 (TLR3) in IAV infection: Mock (n = 6; 3 males and 3 females), IAV (n = 6; 3 males and 3 females), and TLR3 inhibitor (n = 6; 3 males and 3 females). Body weight was measured on days 0, 3, and 5 after infection. On day 5, lung tissues were collected to assess viral load and histopathological changes. Key targets were examined using enzyme-linked immunosorbent assay, Western blotting, and immunofluorescence staining, both in sera and lung tissues. Results: IAV infection was significantly associated with dysregulation of the immune-inflammation system, such as the LTR, nucle-otide-binding oligomerization domain-(NOD) like receptor, retinoic acid-inducible gene I-like receptor, and nuclear factor kappa-B signaling pathways. Gene set enrichment analysis further indicated that the TLR and necroptosis signaling pathways played crucial roles in the progression of IAV infection (TLR signaling pathway normalized enrichment score = 2.3941, P = 1.00 × 10 ⁻¹⁰; necroptosis normalized enrichment score = 1.9421, P = 6.21 × 10 ⁻⁷). Among the core targets, TLR3 and mixed lineage kinase domain-like protein (MLKL) may regulate gene expression at the transcriptional level (all P < 0.05). In vivo validation using an IAV (PR8) infected acute lung injury mouse model demonstrated increased viral load and lung index, alveolar structural damage, and inflammatory cell infiltration. Immunofluorescence staining exhibited large gaps in Lamin B1 staining and breaches in Emerin signals following IAV-PR8 infection. Expression levels of TLR3, p-receptor-interacting serine/threonine-protein kinase 3 (RIPK3)/RIPK3, and p-mixed lineage kinase domain-like protein (MLKL)/MLKL proteins in lung tissues, as well as proinflammatory factors and mediators in sera, were significantly elevated after IAV infection. Moreover, enhanced neutrophil infiltration (myeloperoxidase) and citrullinated histone H3 (a neutrophil extracellular trap-specific marker), both established indicators of neutrophil extracellular trap formation, were observed. Notably, treatment with a TLR3 inhibitor significantly ameliorated IAV-induced acute lung injury by regulating necroptosis-related targets. Conclusion: Our study provides network-based in vivo evidence that TLR3-receptor-interacting serine/threonine-protein kinase 3-MLKL-mediated necroptosis may underlie IAV-induced acute lung injury and could serve as a potential therapeutic target in severe influenza cases.

ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.

Objective To explore the compatibility law of amenorrhea and commonly used local herbs in southwest China using hypergraph;To provide drug choice for the clinical treatment of modern TCM amenorrhea and promote the development and utilization of local Chinese materia medica resources.Methods In this study,the data of prescriptions for the treatment of amenorrhea in Southwest China were used as the data source.By constructing formulas related to amenorrhea-hypergraph(AFR-HG),the topological structure of AFR-HG was analyzed,and the core subnet was extracted according to the node weighted hypercentrality.Based on the sub-network AFR-HG-p1 extracted from the top 20 kinds of Chinese materia medica in AFR-HG,the Kumar algorithm was used to divide the efficacy community network.Results A total of 123 amenorrhea prescriptions were included in this study.Angelicae Sinensis Radix,Carthami Flos,Cyperi Rhizoma,Chuanxiong Rhizoma and other drugs with the efficacy of promoting blood circulation and removing blood stasis,soothing liver and regulating qi,and warming and tonifying were the main drugs with high frequency.Three layers of core subnets were extracted layer by layer through weighted hyper-centrality sorting.The first layer contained Angelicae Sinensis Radix,Chuanxiong Rhizoma,Hyperici Sampsonii Herba,etc.;the second layer of drugs were mainly Lycopi Herba,Rubiae Radix et Rhizoma,Bombycis Feculae,etc.;the third layer of drugs were mainly Ginseng Radix et Rhizoma Rubra,Moutan Cortex,Sargentodoxae Caulis and other drugs;based on the top 20 node overdose drugs,community drugs were obtained through community detection:the first community subnet was Armeniacae Semen Amarum,Draconis Sanguis,Corydalis Rhizoma,etc.,the second community subnet was Rubiae Radix et Rhizoma,Rosae Chinensis Flos,Hyperici Sampsonii Herba,etc.,and the third community subnet was Akebiae Caulis,Homalomenae Rhizoma,Bombycis Feculae,etc.Conclusion In prescriptions of amenorrhea in Southwest China,the treatment principles are basically consistent with modern clinical practice.In addition to commonly used drugs,local herbal medicines and similar medicines are also common.It is of great value to explore the rules of prescriptions for the development and utilization of Chinese materia medica resources.

Objective To investigate the mechanism of autophagy induced by House dust mites(HDM)on airway epithelial tight junction through β-catenin-Snail signaling pathway.Methods Human bronchial epithelial cells(16HBE)were stimulated with HDM at different time points(0,3,6,12,24,48 h)and different concen-trations(0,40,100,200 μg/mL)to screen the appropriate stimulation concentration and stimulation time.16HBE cells were treated with oxidative stress inhibitor N-acetylcysteine(NAC),autophagy inhibitor 3-methylad-enine(3-MA),HDM,and their combinations.Cells were transfected with mCherry-EGFP-LC3B,Beclin-1-siRNA,and ATG14-siRNA lentivirus and then stimulated with NAC and HDM.Immunofluorescence was used to detect the expression levels of autophagy-related protein LC3B,tight junction-related proteins Occludin,and ZO-1 in airway epithelial cells.The level of reactive oxygen species(ROS)was detected by using DCFH-DA in each group.The protein expression levels of Occludin,ZO-1,LC3B,Beclin-1,ATG5,ATG14,P62,Snail,β-catenin and p-β-catenin were detected by Western blot method.Results Immunofluorescence results showed that compared with the control group,200 μg/mL HDM stimulation induced cellular autophagy,increased the expression level of LC3B protein,and promoted the level of ROS,all with statistical significances(all P<0.05).Compared with the HDM group,the HDM+3-MA,HDM+ATG14-si,and HDM+Beclin-1-si groupsall showed significantincreases in the expression levels of tight junction-related proteins Occludin and ZO-1(P<0.05).The HDM+NAC group demonstrated significant decreases both in the level of ROS andin the expression level of LC3B protein.Western blot results revealed that compared with HDM,3-MA and autophagy protein low-expression beads(Beclin-1-si,ATG14-si)attenuated HDM-induced cellular autophagy(P<0.05),inhibited HDM-induced upregulation of Snail and p-β-catenin expression,and improved HDM-induced decreases in Occludin and ZO-1(P<0.05).Moreover,compared with the HDM group,the NAC+HDM group exhibited significant decreases both in the conversion of LC3BⅠ to LC3BⅡ(P<0.001)in the protein levels of Snail,p-β-catenin,Beclin-1 and ATG14(P<0.01),but significant increases in the protein levels of Occludin and ZO-1(P<0.05).Conclusion HDM affects the tight connections between airway epithelial cells by inducing autophagy,which may be attributed to the β-catenin-Snail signaling pathway.

Objective To investigate the mechanism of autophagy induced by House dust mites(HDM)on airway epithelial tight junction through β-catenin-Snail signaling pathway.Methods Human bronchial epithelial cells(16HBE)were stimulated with HDM at different time points(0,3,6,12,24,48 h)and different concen-trations(0,40,100,200 μg/mL)to screen the appropriate stimulation concentration and stimulation time.16HBE cells were treated with oxidative stress inhibitor N-acetylcysteine(NAC),autophagy inhibitor 3-methylad-enine(3-MA),HDM,and their combinations.Cells were transfected with mCherry-EGFP-LC3B,Beclin-1-siRNA,and ATG14-siRNA lentivirus and then stimulated with NAC and HDM.Immunofluorescence was used to detect the expression levels of autophagy-related protein LC3B,tight junction-related proteins Occludin,and ZO-1 in airway epithelial cells.The level of reactive oxygen species(ROS)was detected by using DCFH-DA in each group.The protein expression levels of Occludin,ZO-1,LC3B,Beclin-1,ATG5,ATG14,P62,Snail,β-catenin and p-β-catenin were detected by Western blot method.Results Immunofluorescence results showed that compared with the control group,200 μg/mL HDM stimulation induced cellular autophagy,increased the expression level of LC3B protein,and promoted the level of ROS,all with statistical significances(all P<0.05).Compared with the HDM group,the HDM+3-MA,HDM+ATG14-si,and HDM+Beclin-1-si groupsall showed significantincreases in the expression levels of tight junction-related proteins Occludin and ZO-1(P<0.05).The HDM+NAC group demonstrated significant decreases both in the level of ROS andin the expression level of LC3B protein.Western blot results revealed that compared with HDM,3-MA and autophagy protein low-expression beads(Beclin-1-si,ATG14-si)attenuated HDM-induced cellular autophagy(P<0.05),inhibited HDM-induced upregulation of Snail and p-β-catenin expression,and improved HDM-induced decreases in Occludin and ZO-1(P<0.05).Moreover,compared with the HDM group,the NAC+HDM group exhibited significant decreases both in the conversion of LC3BⅠ to LC3BⅡ(P<0.001)in the protein levels of Snail,p-β-catenin,Beclin-1 and ATG14(P<0.01),but significant increases in the protein levels of Occludin and ZO-1(P<0.05).Conclusion HDM affects the tight connections between airway epithelial cells by inducing autophagy,which may be attributed to the β-catenin-Snail signaling pathway.

Objective To explore the compatibility law of amenorrhea and commonly used local herbs in southwest China using hypergraph;To provide drug choice for the clinical treatment of modern TCM amenorrhea and promote the development and utilization of local Chinese materia medica resources.Methods In this study,the data of prescriptions for the treatment of amenorrhea in Southwest China were used as the data source.By constructing formulas related to amenorrhea-hypergraph(AFR-HG),the topological structure of AFR-HG was analyzed,and the core subnet was extracted according to the node weighted hypercentrality.Based on the sub-network AFR-HG-p1 extracted from the top 20 kinds of Chinese materia medica in AFR-HG,the Kumar algorithm was used to divide the efficacy community network.Results A total of 123 amenorrhea prescriptions were included in this study.Angelicae Sinensis Radix,Carthami Flos,Cyperi Rhizoma,Chuanxiong Rhizoma and other drugs with the efficacy of promoting blood circulation and removing blood stasis,soothing liver and regulating qi,and warming and tonifying were the main drugs with high frequency.Three layers of core subnets were extracted layer by layer through weighted hyper-centrality sorting.The first layer contained Angelicae Sinensis Radix,Chuanxiong Rhizoma,Hyperici Sampsonii Herba,etc.;the second layer of drugs were mainly Lycopi Herba,Rubiae Radix et Rhizoma,Bombycis Feculae,etc.;the third layer of drugs were mainly Ginseng Radix et Rhizoma Rubra,Moutan Cortex,Sargentodoxae Caulis and other drugs;based on the top 20 node overdose drugs,community drugs were obtained through community detection:the first community subnet was Armeniacae Semen Amarum,Draconis Sanguis,Corydalis Rhizoma,etc.,the second community subnet was Rubiae Radix et Rhizoma,Rosae Chinensis Flos,Hyperici Sampsonii Herba,etc.,and the third community subnet was Akebiae Caulis,Homalomenae Rhizoma,Bombycis Feculae,etc.Conclusion In prescriptions of amenorrhea in Southwest China,the treatment principles are basically consistent with modern clinical practice.In addition to commonly used drugs,local herbal medicines and similar medicines are also common.It is of great value to explore the rules of prescriptions for the development and utilization of Chinese materia medica resources.

Objective To construct the knowledge map of Shen Nong Ben Cao Jing;To analyze basic knowledge of materia medica,explore implicit knowledge,and conduct visualization display;To provide methodological references for the study of ancient books.Methods The types of knowledge entities and relationships between entities involved in the Shen Nong Ben Cao Jing were organized and expressed.A training corpus dataset was produced using the BIO sequence labeling method;a self-developed CNLP text labeling system was used for text labeling;the BERT model was used to recognize named entities;the relationships between entities were set based on rules and semantic associations;the data were imported into the Neo4j-community 4.4.9 graph database using Cypher language for storage and visualization display after knowledge fusion;finally a knowledge graph was constructed.Results The knowledge map of Shen Nong Ben Cao Jing included 5 273 nodes and 11 064 relationships.The pattern layer contained 14 entity classes and 16 relationship types.Through Cypher language query,knowledge was visualized from the aspects of TCM classification,medicinal property theory,compatibility of seven emotions and application of TCM.Conclusion The knowledge graph constructed in this study intuitively reflects the knowledge recorded in Shen Nong Ben Cao Jing and the recessive relationship,which is suitable for knowledge mining and intuitive multi-dimensional display of ancient TCM books.

Objective:To discuss the effect of Aspergillus fumigatus(Af)on DNA damage and interleukin(IL)-33 expression in the human bronchial epithelial cells,and to clarify its related mechanism.Methods:Different concentrations(1,5,and 10 mg·L-1)of Af were used to stimulate the bronchial epithelial BEAS-2B cells to select the appropriate stimulation concentration.When the BEAS-2B cells were treated with N-acetylcysteine(NAC)and Af,the cells were divided into control group,Af group,NAC group,and Af+NAC group.When the BEAS-2B cells were treated with DNA double-strand break repair inhibitor NU7441 and Af,the cells were divided into control group,Af group,NU7441 group,and Af+NU7441 group.The comet assay was used to detect the percentages of comet tail DNA of cells in various groups;immunofluorescence method was used to detect the expression levels of DNA damage-related protein phosphorylated H2AX(yH2AX)in the cells in various groups;2,7-dichlorofluorescein diacetate(DCFH-DA)fluorescence probe was used to detect the levels of reactive oxygen species(ROS)in the cells in various groups;real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the expression levels of interleukih-33(IL-33),thymic stromal lymphopoietin(TSLP),and interleukih-25(IL-25)mRNA in the cells in various groups;Western blotting method was used to detect the expression levels of phosphorylated nuclear factor κB(p-NF-κB),phosphorylated ataxia telangiectasia mutated(p-ATM),and γH2AX proteins in the cells in various groups.Results:Compared with control group,the percentage of comet tail DNA and the expression level of γH2AX in the cells in 1 mg·L-1 Af group showed no significant difference(P＞0.05),while the percentage of comet tail DNA and the expression level of γH2AX in the cells in 5 mg·L-1 Af group were significantly increased(P＜0.01);compared with 5 mg·L-1 Af group,the percentage of comet tail DNA and the expression level of γH2AX in the cells in 10 mg·L-1 Af group were significantly increased(P＜0.01).Compared with control group,the ROS levels in the bronchial epithelial cells in 1 mg·L-1 Af group was significantly increased(P＜0.05);compared with 1 mg·L-1 Af group,the ROS level in the cells in 5 mg·L-1 Af group was significantly increased(P＜0.01);compared with 5 mg·L-1 Af group,the ROS level in the cells in 10 mg·L-1 Af group was significantly increased(P＜0.05).After treatment of NAC,compared with Af group,the percentage of comet tail DNA(P＜0.01),the expression level of γH2AX(P＜0.05),and the ROS level(P＜0.01)in the cells in Af+NAC group were significantly decreased;after treatment of NU7441,compared with Af group,the percentage of comet tail DNA and the expression level of yH2AX in the cells in Af+NU7441 group were significantly increased(P＜0.01).The RT-qPCR results showed that after treatment of NAC,compared with control group,the expression level of IL-33 mRNA in the cells in Af group was significantly increased(P＜0.05);compared with Af group,the expression level of IL-33 mRNA in the cells in Af+NAC group was significantly decreased(P＜0.05);after treatment of NU7441,compared with Af group,the expression level of IL-33 mRNA in the cells in Af+NU7441 group was significantly increased(P＜0.05).The Western blotting results showed that after treatment of NAC,compared with control group,the expression levels of p-NF-κB,p-ATM,and γH2AX proteins in the cells in Af group were significantly increased(P＜0.05);after treatment of NU7441,compared with Af group,the expression levels of p-NF-κB,p-ATM,and γH2AX proteins in the cells in Af+NAC group were significantly decreased(P＜0.05);After treat ment of NU7441,compared with Af group,the expression levels of p-NF-κB,p-ATM,and γH2AX proteins in the cells in Af+NU7441 group were significantly increased(P＜0.05).Conclusion:Af promotes the IL-33 expression in the human bronchial epithelial cells by causing DNA damage,and its mechanism may be related to the activation of ATM/NF-κB signaling pathway.

The construction of the comprehensive evaluation index system of the famous classical formula preparations after the marketing has both theoretical and practical significance. In this study， literature related to the post-marketing comprehensive evaluation of traditional Chinese medicine（TCM） compound preparations was retrieved from China National Knowledge Infrastructure（CNKI）， China Science and Technology Journal Database（VIP）， Wanfang Data Knowledge Service Platform（WanFang） and SinoMed from January 1， 2000 to April 30， 2022. CiteSpace 6.1.R2， a scientometrics software， was used to visualize the keywords involved， and to analyze the dynamic evolution trend and research hotspots in this field. Then， the existing comprehensive post-marketing evaluation index system of TCM compound preparations was screened and extracted， and the research status was systematically analyzed by mathematical statistics. It was found that there were problems such as the generalized boundaries between assessment dimensions and assessment elements， the lack of data sources for individual evaluation indexes， unset weight of some index system and insufficient application degree. In addition， according to the characteristics of famous classical formulas， the authors discuss the importance of evidence evaluation based on combination of disease and syndrome， pharmacovigilance of famous classical formulas preparations， and whole-process quality control of famous classical formulas， and put forward the construction strategy of comprehensive post-marketing evaluation of the famous classical formula preparations， which is oriented by clinical value， centered on evidence evaluation， and guaranteed by the whole-process quality control.