1.Predicting the Risk of Arterial Stiffness in Coal Miners Based on Different Machine Learning Models.
Qian Wei CHEN ; Xue Zan HUANG ; Yu DING ; Feng Ren ZHU ; Jia WANG ; Yuan Jie ZOU ; Yuan Zhen DU ; Ya Jun ZHANG ; Zi Wen HUI ; Feng Lin ZHU ; Min MU
Biomedical and Environmental Sciences 2024;37(1):108-111
2.Biosensor analysis technology and its research progress in drug development of Alzheimer's disease
Shu-qi SHEN ; Jia-hao FANG ; Hui WANG ; Liang CHAO ; Piao-xue YOU ; Zhan-ying HONG
Acta Pharmaceutica Sinica 2024;59(3):554-564
Biosensor analysis technology is a kind of technology with high specificity that can convert biological reactions into optical and electrical signals. In the development of drugs for Alzheimer's disease (AD), according to different disease hypotheses and targets, this technology plays an important role in confirming targets and screening active compounds. This paper briefly describes the pathogenesis of AD and the current situation of therapeutic drugs, introduces three biosensor analysis techniques commonly used in the discovery of AD drugs, such as surface plasmon resonance (SPR), biolayer interferometry (BLI) and fluorescence analysis technology, explains its basic principle and application progress, and summarizes their advantages and limitations respectively.
3.Based on the interaction between supramolecules of traditional Chinese medicine and enterobacteria to explore the material basis of combination of Rhei Radix et Rhizoma - Coptidis Rhizoma
Xiao-yu LIN ; Ji-hui LU ; Yao-zhi ZHANG ; Wen-min PI ; Zhi-jia WANG ; Lin-ying WU ; Xue-mei HUANG ; Peng-long WANG
Acta Pharmaceutica Sinica 2024;59(2):464-475
Based on the interaction between supramolecule of traditional Chinese medicine and enterobacteria, the material basis of
4.Assessment of respiratory protection competency of staff in healthcare facilities
Hui-Xue JIA ; Xi YAO ; Mei-Hua HU ; Bing-Li ZHANG ; Xin-Ying SUN ; Zi-Han LI ; Ming-Zhuo DENG ; Lian-He LU ; Jie LI ; Li-Hong SONG ; Jian-Yu LU ; Xue-Mei SONG ; Hang GAO ; Liu-Yi LI
Chinese Journal of Infection Control 2024;23(1):25-31
Objective To understand the respiratory protection competency of staff in hospitals.Methods Staff from six hospitals of different levels and characteristics in Beijing were selected,including doctors,nurses,medical technicians,and servicers,to conduct knowledge assessment on respiratory protection competency.According to exposure risks of respiratory infectious diseases,based on actual cases and daily work scenarios,content of respira-tory protection competency assessment was designed from three aspects:identification of respiratory infectious di-seases,transmission routes and corresponding protection requirements,as well as correct selection and use of masks.The assessment included 6,6,and 8 knowledge points respectively,with 20 knowledge points in total,all of which were choice questions.For multiple-choice questions,full marks,partial marks,and no mark were given respective-ly if all options were correct,partial options were correct and without incorrect options,and partial options were correct but with incorrect options.Difficulty and discrimination analyses on question of each knowledge point was conducted based on classical test theory.Results The respiratory protection competency knowledge assessment for 326 staff members at different risk levels in 6 hospitals showed that concerning the 20 knowledge points,more than 60%participants got full marks for 6 points,while the proportion of full marks for other questions was relatively low.Less than 10%participants got full marks for the following 5 knowledge points:types of airborne diseases,types of droplet-borne diseases,conventional measures for the prevention and control of healthcare-associated infec-tion with respiratory infectious diseases,indications for wearing respirators,and indications for wearing medical protective masks.Among the 20 knowledge questions,5,1,and 14 questions were relatively easy,medium,and difficult,respectively;6,1,4,and 9 questions were with discrimination levels of ≥0.4,0.30-0.39,0.20-0.29,and ≤0.19,respectively.Conclusion There is still much room for hospital staff to improve their respiratory protection competency,especially in the recognition of diseases with different transmission routes and the indications for wearing different types of masks.
5.Implementation of surveillance,prevention and control of healthcare-asso-ciated infection in maternal and child healthcare institutions:A nation-wide investigation report
Shuo LI ; Xi YAO ; Hui-Xue JIA ; Wei-Guang LI ; Xun HUANG ; Shu-Mei SUN ; Xi CHENG ; Qing-Lan MENG ; Xiang ZHANG ; Jing-Ping ZHANG ; Ya-Wei XING ; Qing-Qing JIANG ; Lian-Xuan WU ; Bing-Li ZHANG ; Xiao-Jing LIU ; Liu-Yi LI
Chinese Journal of Infection Control 2024;23(3):323-329
Objective To investigate the implementation of surveillance,prevention and control measures for healthcare-associated infection(HAI)in maternal and child healthcare(MCH)institutions,and provide policy evi-dence for optimizing HAI prevention and control in MCH institutions.Methods Stratified sampling was conducted among the MCH institutions at provincial,municipal and county levels in 8 provinces/autonomous regions.A uni-fied questionnaire was designed and the online survey was conducted through"Questionnaire Star".Results The data from 123 MCH institutions were included in the analysis.90.24%of the MCH institutions carried out compre-hensive surveillance on HAI.The ratios of MCH institutions which implemented targeted surveillance on HAI in neonatal intensive care unit(NICU),surgical site infection,multidrug-resistant organisms(MDROs)and HAI in intensive care units(non-NICU excluded)were 89.66%,85.96%,80.77%,and 74.19%,respectively.51.22%MCH institutions adopted information surveillance system on HAI cases.94.31%MCH institutions carried out surveillance on hand hygiene compliance.Over 90%MCH institutions carried out surveillance on environment hy-giene in high-risk departments.71.54%MCH institutions conducted centralized cleaning,disinfection,sterilization and supply for reusable medical instruments in the central sterile supply department(CSSD).Over 90%MCH insti-tutions established three-level pre-examination triage systems.86.18%set up transitional wards.MCH institutions generally adopted a management model with established effective communication,full appointment visits,and sepa-rate visits for special medical groups,such as registered pregnant women,high-risk newborns,healthcare groups,and long-term rehabilitation patients.However,the ratio of institutions conducting on-line follow-up visits was less than 50%.Conclusion MCH institutions have generally carried out comprehensive and targeted surveillance on HAI.Information surveillance need to be facilitated.Hand hygiene and environmental hygiene surveillance has been popularized to a certain extent at all levels of MCH institutions.The cleaning,disinfection,sterilization,and supply processes of reusable medical devices in a few MCH institutions are not standardized.Special medical populations get effective management.On-line healthcare is to be further promoted.
6.Chemical diversity of azaphilones from the marine-derived fungus Talaromyces sp. HK1-18
Jia-cheng XUE ; Zhong-hui LI ; Bao-cong HAO ; Yao-yao ZHENG ; Xia-hao ZHU ; Zhi-xin CHEN ; Min CHEN
Acta Pharmaceutica Sinica 2024;59(5):1478-1483
GNPS-based mass spectrum-molecular networks is an effective strategy for rapidly identifying known natural products and discovering novel structures. The chemical diversity of azaphilones from the fermentation extracts of
7.Correlation between Combined Urinary Metal Exposure and Grip Strength under Three Statistical Models: A Cross-sectional Study in Rural Guangxi
Jian Yu LIANG ; Hui Jia RONG ; Xiu Xue WANG ; Sheng Jian CAI ; Dong Li QIN ; Mei Qiu LIU ; Xu TANG ; Ting Xiao MO ; Fei Yan WEI ; Xia Yin LIN ; Xiang Shen HUANG ; Yu Ting LUO ; Yu Ruo GOU ; Jing Jie CAO ; Wu Chu HUANG ; Fu Yu LU ; Jian QIN ; Yong Zhi ZHANG
Biomedical and Environmental Sciences 2024;37(1):3-18
Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95% confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.
8.The antitumor activity and mechanisms of piperlongumine derivative C12 on human non-small cell lung cancer H1299 cells
Hai-tao LONG ; Xue LEI ; Jia-yi CHEN ; Jiao MENG ; Li-hui SHAO ; Zhu-rui LI ; Dan-ping CHEN ; Zhen-chao WANG ; Yue ZHOU ; Cheng-peng LI
Acta Pharmaceutica Sinica 2024;59(10):2773-2781
The compound (
9.Identification and expression analysis of AP2/ERF gene family in Artemisia argyi
Xue-xue YUE ; Chuang XIAO ; Qian-wen ZHANG ; Sai-nan PENG ; Chang-jie CHEN ; Jia ZHOU ; Jin-xin LI ; Yu-kun LI ; Yu-huan MIAO ; Da-hui LIU
Acta Pharmaceutica Sinica 2024;59(9):2634-2647
italic>Artemisia argyi is a traditional Chinese medicine in China, which is used as medicine with its leaves. The leaves of
10.Exploration on the Medication Rules and Mechanism of Chinese Herbal Compound in the Treatment of Depression Based on Data Mining and Network Pharmacology
Qian-Yin XUE ; Yi ZHANG ; Guo-Hui LI ; Ming-Jia ZHANG ; Hai-Qing AO
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(10):2804-2814
Objective To explore the core drugs and antidepressant molecular mechanisms of Chinese herbal compound in the clinical treatment of depression.Methods Relevant literature was searched through CNKI,Wanfang and VIP to screen and sort out the Chinese Herbal compounds used in clinical practice.By analyzing the frequency of medication and the association rules of Chinese medicines,Bupleuri Radix,Paeoniae Radix Alba,Curcumae Radix were determined as the core Chinese medicinals for the treatment of depression.The active components and target proteins of these drugs were screened by TCMSP database,and depression-related targets were obtained from TTD,OMIM,DrugBank and GeneCards.Protein-protein interaction(PPI)network and'core drug-active ingredient-intersection target'network were constructed by STRING and Cytoscape.Gene Ontology(GO)enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were performed by Metascape.Molecular docking analysis used RCSB database,AutoDockTools and PyMOL to verify the binding activity of key active components with core targets.Results The drugs for the treatment of depression in clinical Chinese herbal compound prescriptions were mainly cold,sweet,bitter and pungent,and the liver meridian was the first.Bupleuri Radix,Paeoniae Radix Alba,Curcumae Radix had the highest frequency of medication,and the combination of"Paeoniae Radix Alba-Bupleuri Radix"and"Curcumae Radix-Paeoniae Radix Alba-Bupleuri Radix"had the highest support.In the PPI network,SLC6A4,AKT1 and CHRNA4 were the key targets.GO enrichment analysis results showed that core drugs play a role in synaptic membranes and other parts through biological processes such as chemical synaptic transmission,as well as molecular functions such as G protein-coupled receptor activity.KEGG pathway enrichment analysis results showed that core drugs may treat depression through neuroactive ligand-receptor interaction,calcium signaling pathway and other pathways.Molecular docking confirmed that there was a strong binding activity between the key active ingredients and the core target.Conclusion Bupleuri Radix,Paeoniae Radix Alba,Curcumae Radix are the core drugs for clinical treatment of depression,which can treat depression through multi-component,multi-target and multi-pathway.

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