OBJECTIVE To analyze the influencing factors for achieving target plasma drug concentration （trough） （abbreviated as “PDC”） of vancomycin in patients from high-altitude regions and establish a predictive model for PDC using single- center data， providing references for rational clinical drug use. METHODS Inpatients with vancomycin （1 g， q12 h） administered intravenously in our hospital from January 2021 to June 2024 were retrospectively included. Demographic data， liver and kidney function and hematological indexes were collected. Spearman correlation analysis was used to evaluate the correlation between vancomycin PDC and each detection index. Univariate analysis was used to evaluate the differences of each index in patients with different PDC， and the effects of different gender， body mass index， age and underlying diseases （hypertension/diabetes） on vancomycin PDC. Based on the results of correlation analysis and univariate analysis， multiple linear stepwise regression analysis was used to obtain the independent predictors of vancomycin PDC and construct the prediction model. RESULTS A total of 141 patients were included， with an overall attainment rate of 46.81% for the target PDC of vancomycin. Correlation analysis showed that the vancomycin PDC was positively correlated with age， blood urea nitrogen， uric acid （UA）， serum creatinine （CRE） and β2- microglobulin （β2-MG）， and negatively correlated with height， weight， creatinine clearance rate （CCR）， glomerular filtration rate （GFR）， alanine transaminase （ALT）， hemoglobin （HGB）， white blood cell count and neutrophils （P＜0.05）. There were significant differences in age， CRE and other 14 indexes among different PDC groups （P＜0.05 or P＜0.01）. Age and underlying diseases had significant effects on vancomycin PDC （P＜0.05 or P＜0.01）. CCR， direct bilirubin （DBil）， β2-MG， UA， HGB and height （standardized coefficients were －0.371， 0.367， 0.169， 0.232， －0.140， －0.132； P＜0.05） were independent predictors of vancomycin PDC. The F value of the regression equation was 34.858 （P＜0.05）， the R2 was 0.610， and the adjusted R2 was 0.592. CONCLUSIONS The vancomycin PDC of patients in high-altitude regions is affected by multiple factors such as renal function， liver function and hematological indexes. CCR， HGB and height could be used to predict vancomycin PDC negatively， while DBil， β2-MG and UA could be used to predict vancomycin PDC positively. The variables of the established prediction model could explain 59.2% of the variation of vancomycin PDC.

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.

Meropenem （MEM） is one of the important drugs for the treatment of severe infections， but the standard dose is often difficult to achieve an effective therapeutic concentration target. This article reviews the related studies on the population pharmacokinetics of MEM in patients with severe infection. It is found that the apparent volume of distribution （Vd） and clearance rate are the most important factors affecting the dose adjustment， and the factors affecting Vd include serum albumin， age， overall weight， shock status， and chest/abdomen/cerebrospinal fluid drainage. The main factors affecting the clearance rate were renal function， renal replacement therapy treatment mode and combination therapy. For adult patients with severe infections in China， MEM is recommended to be administered in an individualized manner based on glomerular filtration rate， with a dosage range of 500 to 1 500 mg given every 4 to 6 hours， and prolonged infusion is preferred. When the minimum inhibitory concentration （MIC） of the pathogenic bacteria reaches 64 mg/L， therapeutic drug monitoring is required. For therapeutic efficacy， it is essential to ensure that the trough concentration remains above the MIC； to prevent drug resistance， it should be maintained above 4×MIC. Regarding safety， it is recommended that the upper limit of the trough concentration be 32 mg/L， and blood sampling for monitoring can be conducted as early as after 1 to 2 doses of administration.

Objective This study aims to investigate the expression, phenotypic changes, and mechanisms of action of guanylate-binding protein 2 (GBP2) in the process of silica-induced pulmonary fibrosis. Methods The expression and localization of GBP2 in silicotic lung tissue were detected by immunohistochemical staining and immunofluorescence. An in vitro cell model was constructed, and methods such as Western blot and real-time quantitative reverse transcription polymerasechain reaction were utilized to investigate the function of GBP2 in different cell lines following silica stimulation. The mechanism of action of GBP2 in various cell lines was elucidated using Western blot analysis. Results GBP2 was highly expressed in the lung tissue of patients with silicosis. Immunohistochemical staining and immunofluorescence have revealed that GBP2 was localized in macrophages and epithelial cells. In vitro cell experiments demonstrated that silicon dioxide stimulated THP-1 cells to activate the c-Jun pathway through GBP2, promoting the secretion of inflammatory factors and facilitating the occurrence of M2 macrophage polarization. In epithelial cells, GBP2 promoted the occurrence of epithelial to mesenchymal transition (EMT) by upregulating Krueppel-like factor 8 (KLF8). Conclusion GBP2 not only activates c-Jun in macrophages to promote the production of inflammatory factors and the occurrence of M2 macrophage polarization, but also activates the transcription factor KLF8 in epithelial cells to induce EMT, collectively promoting the progression of silicosis.
Humans ; Silicosis/genetics* ; Macrophages/cytology* ; Epithelial Cells/pathology* ; GTP-Binding Proteins/physiology* ; Epithelial-Mesenchymal Transition ; Disease Progression ; Cell Line ; Male

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.

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 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.

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: 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.