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 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 describe the incidence and mortality of brain tumors in China in 2020 and to predict the disease burden up to 2040.Methods The brain tumor incidence and mortality in 2020 were recorded based on the data from International Agency for Cancer Research(IARC),Cancer Today database.The incidence and mortality were standardized by age using Segi's world standard population.The burden of brain tumors in 2040 was predicted with assuming that national rates remained constant in 2020.Results It was estimated there were approximately 79 600 new brain tumors cases and 65 200 deaths in China in 2020.The age-standardized incidence and mortality rates of brain tumors in China were 4.1/100 000 and 3.2/100 000,respectively,which were lower than the United States of America,most of European countries and Australia.The incidence and mortality were higher than Africa,central America,and the Caribbean.From 2020 to 2040,the brain tumors cases and deaths are predicted to have an increase as 32.1%and 41.5%respectively.Conclusions The disease burden of brain tumors was still heavy in China.Further studies are urgently needed to clarify the epidemic trend of tissue typing and risk factors of brain tumors,which may support the development of effective prevention strategies.

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 establish a nomogram model which is used for predicting lower extremity deep venous thrombosis(DVT)after interventional treatment of lower extremity arteriosclerosis obliterans(LEASO),and to make an external validation of the model.Methods A total of 434 LEASO patients receiving intraluminal therapy between January 2020 and December 2022,who were retrieved from the database of patients with limb ischemia(JCLIMB)established by the Japanese Society of Vascular Surgery,were collected and used as modeling group,and other 60 LEASO patients,who received interventional treatment at the Hefei Binhu Hospital of China between January 2020 and May 2023,were collected and used as validation group.Through the electronic medical record system,the clinical data of the patients were obtained,which included gender,age,coexisting diabetes mellitus,coexisting hypertension,coexisting coronary heart disease,body mass index(BMI),Fontaine stage,D-dimer,prothrombin time(PT),activated partial thromboplastin(APTT),platelet lymphocyte ratio(PLR),and neutrophil-to-lymphocyte ratio(NLR).The nomogram model was established by using R software,and the prediction model was evaluated by the calibration curve,the decision curve analysis(DCA)and the receiver operating characteristic(ROC)curve.Results The differences in BMI,Fontaine stage,D-dimer,PLR and NLR between DVT patients and non-DVT patients were statistically significant(P＜0.05).Multivariate logistic regression analysis showed that BMI,Fontaine stage,D-dimer,PLR and NLR were the independent influencing factors for DVT in LEASO patients(P＜0.05).The nomogram model was established based on the results of the logistic regression analysis.The calibration curve analysis showed that the predicted values of the model was basically consistent with the actual values,indicating that this nomogram model carried a good accuracy.Taking the net income as the ordinate and the threshold as the abscissa,the none line represented that DVT would not occur in all LEASO patients.The nomogram model represented the actual curve of DVT,and the threshold range was 0.09-1.00,indicating that using this model for decision-making had good clinical benefits,suggesting the clinical utility of this model.ROC analysis revealed that using this nomogram model,which was established in this study,to predict the area under the DVT curve(AUC)of LEASO patients,the AUC in the modeling group and in the validation group was 0.912 and 0.834 respectively,the sensitivity was 96.50 and 99.20 respectively,and the specificity was 76.60 and 66.70 respectively.Conclusion The prediction model of DVT in LEASO patients that is established on the BMI,Fontaine stage,D-dimer,PLR and NLR has a good predictive value for the occurrence of DVT,therefore,this model is worth popularizing in clinical practice.

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.