The Expert Consensus on Clinical Application of Qinbaohong Zhike Oral Liquid in Treatment of Acute Bronchitis and Acute Attack of Chronic Bronchitis （GS/CACM 337-2023） was released by the China Association of Chinese Medicine on December 13^th， 2023. This expert consensus was developed by experts in methodology， pharmacy， and Chinese medicine in strict accordance with the development requirements of the China Association of Chinese Medicine （CACM） and based on the latest medical evidence and the clinical medication experience of well-known experts in the fields of respiratory medicine （pulmonary diseases） and pediatrics. This expert consensus defines the application of Qinbaohong Zhike oral liquid in the treatment of cough and excessive sputum caused by phlegm-heat obstructing lung， acute bronchitis， and acute attack of chronic bronchitis from the aspects of applicable populations， efficacy evaluation， usage， dosage， drug combination， and safety. It is expected to guide the rational drug use in medical and health institutions， give full play to the unique value of Qinbaohong Zhike oral liquid， and vigorously promote the inheritance and innovation of Chinese patent medicines.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.

Objective To explore the molecular mechanism of resveratrol(RES)in the treatment of oral squamous cell carcinoma(OSCC)through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.Methods The Swiss Target Prediction(http://www.swisstargetprediction.ch),SEA(http://sea.bkslab.org)database,and Pharm map-per database(http://lilab-ecust.cn)were used to retrieve RES-related targets,and the DISGENET(www.disgenet.org),OMIM(https://omim.org)and GeneCards(https://www.genecards.org)databases were used to screen OSCC disease tar-gets.The intersection of drugs and disease targets was determined,and Cytoscape 3.7.2 software was used to construct a"drug-diseasetarget pathway"network.The Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)data-base was used to construct a target protein interaction network,and the DAVID database was used for enrichment analy-sis of key proteins.Finally,molecular docking validation of key proteins was performed using AutoDock and PyMOL.The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC;western blot was used to determine the effect of resveratrol at different concentrations(50,100)μmol/L on the expression of Src tyrosine kinase(SRC),epidermal growth factor receptor(EGFR),estrogen re-ceptor gene 1(ESR1),and phosphatidylinositol 3 kinase/protein kinase B(PI3K/AKT)signaling pathway proteins in OSCC HSC-3 cells.Results A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified.A total of 116 potential common targets were obtained by intersecting drugs with disease targets.These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation,peptide tyrosine phosphorylation,trans-membrane receptor protein tyrosine kinase signaling pathway,and positive regulation of RNA polymerase Ⅱ promot-er transcription,and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects.The docking results of resveratrol with OSCC molecules indicated that key targets,such as EGFR,ESR1,and SRC,have good binding activi-ty.The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC,EGFR,ESR1,p-PI3K,and p-AKT in HSC-3 cells in a dose-dependent manner.Conclusion RES can inhibit the expres-sion of its targets EGFR,ESR1,SRC,p-PI3K,and p-AKT in OSCC cells.

Objective: To explore the molecular mechanism of resveratrol (RES) in the treatment of oral squamous cell carcinoma (OSCC) through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC. Methods: The Swiss Target Prediction(http://www.swisstargetprediction.ch), SEA (http://sea.bkslab.org)database, and Pharm mapper database(http://lilab-ecust.cn) were used to retrieve RES-related targets, and the DISGENET (www.disgenet.org), OMIM (https://omim.org) and GeneCards (https://www.genecards.org) databases were used to screen OSCC disease targets. The intersection of drugs and disease targets was determined, and Cytoscape 3.7.2 software was used to construct a "drug-diseasetarget pathway" network. The Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database was used to construct a target protein interaction network, and the DAVID database was used for enrichment analysis of key proteins. Finally, molecular docking validation of key proteins was performed using AutoDock and PyMOL. The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC; western blot was used to determine the effect of resveratrol at different concentrations (50, 100) μmol/L on the expression of Src tyrosine kinase (SRC), epidermal growth factor receptor (EGFR), estrogen receptor gene 1 (ESR1), and phosphatidylinositol 3 kinase/protein kinase B (PI3K/AKT) signaling pathway proteins in OSCC HSC-3 cells. Results: A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified. A total of 116 potential common targets were obtained by intersecting drugs with disease targets. These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation, peptide tyrosine phosphorylation, transmembrane receptor protein tyrosine kinase signaling pathway, and positive regulation of RNA polymerase Ⅱ promoter transcription, and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects. The docking results of resveratrol with OSCC molecules indicated that key targets, such as EGFR, ESR1, and SRC, have good binding activity. The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC, EGFR, ESR1, p-PI3K, and p-AKT in HSC-3 cells in a dose-dependent manner. Conclusion RES can inhibit the expression of its targets EGFR, ESR1, SRC, p-PI3K, and p-AKT in OSCC cells.

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.