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 characteristics and regulations of adverse drug reactions （ADR） caused by apatinib， and to provide a reference for the safe use of apatinib in clinic. METHODS Case and group reports on ADR and safety evaluation of apatinib were retrieved from Chinese and English databases such as CNKI， Wanfang medical network， VIP and PubMed since its listing in 2014， literature data were extracted and statistically analyzed after screening. RESULTS Totally 101 cases were included， involving 221 ADR. In the above cases， the male-to-female ratio was 1.24∶1， with the highest proportion of patients aged 51 to 70 years， most of the patients were given a dose of 500 mg or more， and the patients given low dose of apatinib combined with other antitumor drugs were also likely to have ADR. One to two types of adverse reaction were the most common， while the types could reach up to six. Most ADR occurred within 30 days after medication， and the systems/organs involved were mainly the cardiovascular system damage，skin and its accessories damage， gastrointestinal system damage and urinary system damage； the main clinical manifestations were hypertension/aggravation，hand-foot syndrome，abdominal pain diarrhea and albuminuria， etc. Hypertension/aggravation， hand-foot syndrome and myelosuppression were the most common serious ADR. Most ADR could be improved/cured by suspension of administration， dose downregulation and symptomatic treatment. All 4 patients who died had underlying diseases， and their ECOG scores all ≥2 points. Special ADR （such as reversible posterior encephalopathy syndrome， psychiatric disorders， and cognitive impairment） were mostly caused by apatinib itself， or may be caused by apatinib in combination with the primary or underlying disease. CONCLUSIONS Advanced age， large dose， combination medication， underlying diseases and poor physical condition might be the high risks for ADR caused by apatinib. It is recommended to monitor the blood pressure，urine protein and skin of hands and feet of all patients with medication on a daily basis，pay attention to the occurrence of special ADR， and timely detect abnormal states and give effective intervention，so as to avoid the aggravation of ADR and other secondary ADR.

Objective To investigate the pathogenic distribution characteristics and drug resistance of opportunistic Candida in patients with pulmonary tuberculosis on the Qinghai-Tibet Plateau.Methods 3 012 hospitalized cases of pulmonary tuberculosis at Qinghai Province Fourth People's Hospital from March 1,2020 to December 31,2020 were analyzed,sputum samples were collected,Candida identification was carried by VITEK-32-YBC automatic bacterial analysis system,and the detected Candida was tested for drug sensitivity.Results Among the 3 012 cases of pulmonary tuberculosis in this investigation,283 cases of pulmonary tuberculosis patients with Candida infection,accounting for 9.40%.Among them,Candida albicans was the main type of Candida,accounting for 79.86%of the total.Conclusion The prevalence rate of pulmonary tuberculosis complicated with Candida infection was high in Qinghai-Tibet Plateau.Therefore,the selection of antimicrobial drugs should be based on a comprehensive analysis of the patient's condition,in order to select the best and most effective drugs for treatment.

The new generation of artificial intelligence technology,represented by deep learning,has emerged as a crucial driving force in the advancement of new drug research and development.This article creatively proposes a workflow named"Molecular Factory"for the design and optimization of drug molecules based on artificial intelligence technology.This workflow integrates intelligent molecular generation models,high-performance molecular docking algorithms,and accurate protein-ligand binding affinity prediction methods.It has been integrated as a core module into DrugFlow,a one-stop drug design software platform,providing a comprehensive set of mature solutions for the discovery and optimization of lead compounds.Utilizing the"Molecular Factory"module,we conducted the research of second-generation inhibitors against Menin that can combat drug resistance.Through the integration of computational and experimental approaches,we rapidly identified multiple promising compounds.Among them,compound RG-10 exhibited the IC50 values of 9.681 nmol/L,233.2 nmol/L,and 40.09 nmol/L against the wild-type Menin,M327I mutant,and T349M mutant,respectively.Compared to the positive reference molecule SNDX-5613,which has entered Phase Ⅱ clinical trials,RG-10 demonstrated significantly enhanced inhibitory activity against the M327I and T349M mutants.These findings fully demonstrate the unique advantages of the"Molecular Factory"technology in practical drug design and development scenarios.It can rapidly and efficiently generate high-quality active molecules targeting specific protein structures,holding significant value and profound implications for advancing new drug discovery.

Objective:To explore the challenges in the implementation of drug centralized volume-based procurement policies in hospitals and propose corresponding optimization suggestions.Methods:From August to December 2023, a purposive sampling was conducted to select 11 pharmaceutical experts from tertiary hospitals in China for Delphi method. The survey content included " policy recommendations for promoting the acceleration and expansion of national drug centralized procurement and retaining surplus medical insurance funds for centralized procurement" .Results:Survey participants gave feedback on a set of existing problems found in the implementation of drug centralized procurement policies and proposed corresponding optimization methods. Kendall′s W coefficient of the specialist consultation was 0.332( P<0.05), demonstrating good consistency and concentration of the expert opinions. Among the problems, the score of drug supply guarantee was the highest(mean value of importance was 4.45). At the same time, the recommendation of strengthening monitoring and early warning, coordination and dispatch, and effectively ensuring the supply of centralized drug procurement had the highest score and concentration(mean value of importance was 4.91, coefficient of variation was 0.06). Conclusions:Through Delphi method, this study revealed issues and optimization methods in the implementation of drug centralized procurement policies in hospitals. The findings could provide valuable insights for improvements in the pharmaceutical sector and future policy adjustments.

By searching the literature on the application of entrustable professional activities in college education in China and globally, this article comprehensively analyzes the concept of entrustable professional activities, the development of evaluation items, the effectiveness of clinical application, the problems to be improved, and research prospects, so as to provide a useful reference for the reform and evaluation of competency-oriented medical education in China and the application of entrustable professional activities that can be repeated and promoted in clinical teaching.

Objective:To analyze the clinical phynotypes of fetuses with 22q11.2 microduplications.Method:Eleven fetuses were diagnosed with 22q11.2 microduplications among 2 969 cases who underwent prenatal chromosomal microarray analysis from January 2016 to February 2020. The phenotypes, indications for invasive prenatal diagnosis, genetic results, pregnancy outcomes and postnatal clinical presentation were analyzed.Results:There were 6 cases diagnosed with classic 3.0 Mb microduplication (DiGeorge and velocardiofacial syndromes, DGS/VCFS) in the 22q11.2, 1 case with 1.5 Mb proximal microduplication and 4 cases with distal small segment microduplication (E-H). Out of 11 fetuses with 22q11.2 microduplications,7 cases were inherited, 2 cases was de novo and data were not available for 2 cases. Vicular septal defect and anencephalu were diagnosed by ultrasonography in 2 cases,fetal growth restriction was diagnosed in 2 cases,no any abnormalities were found in remaining 7 cases. Seven cases(3 cases of classic 3.0 Mb microduplication, 1 case of proximal microduplication and 3 cases of distal small segment microduplication) were delivered at full-term;and pregnancy was terminated in 4 cases. Seven infants were followed up after birth, 4 infants were normal, 3 showed abnormal phenotypes.Conclusion:The clinical phenotypes after birth of fetuses with 22q11.2 microduplication are diverse. Prenatal genetic counseling is necessary,so that pregnant women and their families can fully understand the possible clinical phenotypes and make informed choices.

Objective : To explore the potential targets, pathways and related mechanisms of artesunate(ART) in the treatment of hepatocellular carcinoma(HCC) based on network pharmacology and Bioinformatics. Methods: The potential targets of ART were screened through pharmmapper database, PPI network was constructed and visual analysis was performed.The data of 424 HCC samples were downloaded from TCGA database, the data information of potential target genes were screened, and the differentially expressed target genes were analyzed.The key target genes were screened by univariate-multivariate COX regression analysis.Molecular docking software was used to conduct molecular docking between ART and key target genes.Differential expression and survival analysis of key target genes were performed using network database GEPIA2. KEGG pathway enrichment analysis was performed by R language. The effects of ART on the proliferation and migration of HCC cells were verified by MTS assay and scratch test. The expression of FABP5 in HCC cells was verified by qPCR and Western blot. Western blot was used to verify the protein changes of PI3K/AKT pathway. Results : A total of 282 potential target genes were screened by network pharmacology. Finally,three key target genes were screened out. The survival analysis of FABP5 in HCC was statistically significant(P<0. 01). Molecular docking showed that ART and FABP5 had the highest binding energy. Pathway enrichment analysis showed that FABP5 was mainly enriched in PI3K/AKT signaling pathway. Cell experiments verified that ART could inhibit the expression level of FABP5,that ART could regulate the PI3K/AKT pathway,and that ART could inhibit the proliferation and migration of HCC cells. Conclusion FABP5 may regulate the PI3K/AKT pathway by inhibiting FABP5 and thus affect HCC cell proliferation and migration,and FABP5may serve as a new target gene for ART therapy of HCC.

Objective: A prognostic risk model for lung adenocarcinoma patients was established based on the cancer genome atlas(TCGA) database to explore the prognostic performance of autophagy related gene risk model for lung adenocarcinoma patients and its correlation with immune microenvironment． Methods: Clinical information and transcriptome data of lung adenocarcinoma patients were downloaded and extracted from TCGA database，and 232 autophagy-related genes were screened from the human autophagy database．cox regression analysis was used to screen out four autophagy genes independently associated with prognosis．The prognostic prediction model of lung adenocarcinoma was constructed by risk score ，and the performance of prediction model was evaluated by ROC curve．The relationship between risk scores and tumor immune microenvironment was explored using ESTIMATE ( estimation of stromal and immune cells in malignant tumour tissues using expression data) and CIBERSORT algo- rithms. Results: Thirty differentially expressed autophagy-related genes were identified in lung adenocarcinoma， of which four autophagy genes (BIRC5，ERO1A，ITGB4，NLRC4 ) could predict the prognosis of the patients. Grouped by risk score，the Kaplan-Meier analysis demonstrated that the survival rate of high-risk group was signifi- cantly lower than that of low-risk group(P＜0. 000 1) ．The ROC curve proved the accuracy of the model in predic- ting the prognosis of lung adenocarcinoma ( AUC = 0. 757 ) ．The ESTIMATE and CIBERSORT analyses revealed that the risk scoring model was associated with multiple immune cells and immune infiltrates in the tumor microenvi- ronment． Conclusion Compared with clinical data，the autophagy gene prognostic risk model can better predict the prognosis of patients with lung adenocarcinoma．In the high-risk group，CD4 + memory quiescent cells can im- prove prognosis in lung adenocarcinoma patients.

Objective: To construct nomogram to predict the risk of bone metastasis in patients with non-small cell lung cancer(NSCLC). Methods: The clinical data of NSCLC patients diagnosed in the hospital were retrospectively analyzed, including the occurrence of bone metastasis, age, gender, pathological type, smoking status, PS score, TN stage, metastasis of other sites before bone metastasis, carcinoembryonic antigen(CEA) level, alpha fetoprotein(AFP) level, serum calcium(Ca2+), serum phosphorus(P), alkaline phosphatase(ALP) level, which were determined by univariate and multivariate logistic regression analysis. Receiver operating characteristic curve(ROC) and decision curve analysis were used, DCA was used to verify the accuracy and clinical benefit of the model, and nomogram was used to visualize the model. Results: Area under the ROC curve(AUC) showed that in the modeling group(n=138) and the validation group(n=92), the AUC value predicted by combined indicators(age, gender, pathological type, CEA, ALP)(modeling group=0.792, validation group=0.629) was higher than that predicted by single indicator. Conclusion The prediction model constructed in this study has good effect and can provide reference for clinical screening of high-risk patients with bone metastasis of NSCLC.