Objective To enhance the efficiency and accuracy of post-marketing safety monitoring and evaluation of drugs in China by studying large language models-based patient medical record pharmacovigilance profiling techniques,providing scientific methods and technical support to ensure the safe use of drugs for patients.Methods This study constructs a pharmacovigilance profile that includes individual patient differences,medication details,and adverse reaction manifestations.It enhances a large language model with a knowledge graph in the field of pharmacovigilance and designs targeted prompts to guide the model to output pharmacovigilance profiles.Results Large language models demonstrate significant advantages in active monitoring,effectively processing and analyzing medical text data,and improving the monitoring and prediction capabilities of drug adverse reactions.Through the design of prompts,the model can more accurately depict patient pharmacovigilance profiles,providing decision support for medical professionals.Conclusions The study of large language model-based patient medical record pharmacovigilance profiling technology provides scientific evidence and technical support for the early detection and prevention of drug adverse reactions,helping to reduce medical costs,improve medical outcome prognoses,and opens new paths to ensure patient drug safety.

Objective To establish an evaluation indicator system for pharmacovigilance(PV)work in medical institutions of Fujian province,and provide a reference for the PV work in healthcare facilities.Methods Based on literature analysis and interpretation of policies and regulations,combined with the practical pharmacovigilance work in Fujian province,a preliminary indicator system was constructed.Following this,three rounds of expert consultation were conducted,including two rounds of the Delphi method to determine the content of the index system,and one round of the Analytic Hierarchy Process(AHP)to determine the weights of each index.Results A total of 9 primary indicators,23 secondary indicators,and 59 tertiary indicators were selected for the evaluation of pharmacovigilance work in health facilities of Fujian province,including pharmacovigilance organizational structure,human resources,equipment resources,development and documentation of the quality management system's procedural documents,Performance indicators for monitoring and reporting,risk identification,assessment,control and research capabilities.The consensus coefficients for three rounds of consultation with experts were 100％,100％,and 100％.The average authority coefficient of the experts was 0.878,and the expert coordination coefficients for the two rounds of Delphi method were 0.081 and 0.343,respectively(P＜0.001).In the AHP,the weight vector for primary indicators ranged from 0.023 to 0.263,with a maximum eigenvalue of 9.195.The weight vector values of the secondary indicators were from 0.096 to 1.000,and the maximum eigenvalues were 3.018-4.061;The weight vectors of the tertiary indicators were 0.143 to 1.000,and the maximum eigenvalues were from 3.000 to 5.078.The consistency ratio(CR)of each judgment matrix was between 0 and 0.051.Conclusions The constructed indicator of capability assessment model,integrating regulatory functions and the practical situation of medical institutions,can be used by regulatory authorities to assess pharmacovigilance work in medical institutions.It provides a solid reference for improving the pharmacovigilance capabilities of medical institutions in Fujian province.

Objective To establish an evaluation indicator system for pharmacovigilance(PV)work in medical institutions of Fujian province,and provide a reference for the PV work in healthcare facilities.Methods Based on literature analysis and interpretation of policies and regulations,combined with the practical pharmacovigilance work in Fujian province,a preliminary indicator system was constructed.Following this,three rounds of expert consultation were conducted,including two rounds of the Delphi method to determine the content of the index system,and one round of the Analytic Hierarchy Process(AHP)to determine the weights of each index.Results A total of 9 primary indicators,23 secondary indicators,and 59 tertiary indicators were selected for the evaluation of pharmacovigilance work in health facilities of Fujian province,including pharmacovigilance organizational structure,human resources,equipment resources,development and documentation of the quality management system's procedural documents,Performance indicators for monitoring and reporting,risk identification,assessment,control and research capabilities.The consensus coefficients for three rounds of consultation with experts were 100％,100％,and 100％.The average authority coefficient of the experts was 0.878,and the expert coordination coefficients for the two rounds of Delphi method were 0.081 and 0.343,respectively(P＜0.001).In the AHP,the weight vector for primary indicators ranged from 0.023 to 0.263,with a maximum eigenvalue of 9.195.The weight vector values of the secondary indicators were from 0.096 to 1.000,and the maximum eigenvalues were 3.018-4.061;The weight vectors of the tertiary indicators were 0.143 to 1.000,and the maximum eigenvalues were from 3.000 to 5.078.The consistency ratio(CR)of each judgment matrix was between 0 and 0.051.Conclusions The constructed indicator of capability assessment model,integrating regulatory functions and the practical situation of medical institutions,can be used by regulatory authorities to assess pharmacovigilance work in medical institutions.It provides a solid reference for improving the pharmacovigilance capabilities of medical institutions in Fujian province.

Objective To enhance the efficiency and accuracy of post-marketing safety monitoring and evaluation of drugs in China by studying large language models-based patient medical record pharmacovigilance profiling techniques,providing scientific methods and technical support to ensure the safe use of drugs for patients.Methods This study constructs a pharmacovigilance profile that includes individual patient differences,medication details,and adverse reaction manifestations.It enhances a large language model with a knowledge graph in the field of pharmacovigilance and designs targeted prompts to guide the model to output pharmacovigilance profiles.Results Large language models demonstrate significant advantages in active monitoring,effectively processing and analyzing medical text data,and improving the monitoring and prediction capabilities of drug adverse reactions.Through the design of prompts,the model can more accurately depict patient pharmacovigilance profiles,providing decision support for medical professionals.Conclusions The study of large language model-based patient medical record pharmacovigilance profiling technology provides scientific evidence and technical support for the early detection and prevention of drug adverse reactions,helping to reduce medical costs,improve medical outcome prognoses,and opens new paths to ensure patient drug safety.

Objective: To choose various occupational health risk assessment of the mature methods at home and abroad respectively occupational health risk assessment was carried out on the 4s stores, to explore different risk assessment methods on the 4 s shop the applicability of the occupational health risk assessment. Methods: Chemical was applied on the harmful factors of occupational health risk assessment technology guideline in the composite index method, quantitative cancer risk assessment method using the guidelines for the harmful factors of occupational health risk assessment of chemical technology of composite index method, quantitative cancer risk assessment method, international commission on mining and metals (ICMM) occupational health risk assessment quantitative method and the occupational-disease-inductive operation classification to evaluate chemical factors in 4S store, Combined with on-site occupational health investigation to compare with the result of risk assessment and analysis of international mining and metals (ICMM) committee occupational health risk assessment quantitative method and the occupational-disease-inductive operation classification of 4S store to evaluate chemical factors, combined with on-site occupational health investigation comparison and analysis the result of the risk assessment. Results: Except for 6 times, the results of ICMM matrix method and comprehensive index method were consistent, which were all higher than job classification. The other results were job classification of >of ICMM matrix method >comprehensive index method or job classification of >of ICMM matrix method. Conclusion When the concentration of occupational-disease-inductive factors is lower than 1/2 limit, the risk assessment results tend to be ICMM quantitative >composite index method >operation classification. When the occupational-disease-inductive factors were involved with triphenyl, the quantitative non-carcinogenic risk assessment method was more likely to reach the conclusion that the occupational health risk was unacceptable.

Objective To establish ovarian cancer cell line SKVO3 that can stably express human ADP ribosylation factor-4 (ARF4). Methods A eukaryotic expression vector pCDH-CMV-MCS-EF1-Puro/ARF4 was constructed and transfected into SKOV3 cells after verifying by DNA sequencing. The expression of ARF4 mRNA was verified by real-time quantitative PCR (qRT-PCR). Then, the recombinant plasmid with lentiviral packaging plasmids were co-transfected into SKOV3 cells for packaging. The recombinant lentiviral particles LV-ARF4 were collected and transfected into SKOV3 cells, and the stable transfected SKOV3 cell line was screening by culture with puromycin. The expression of ARF4 gene was detected by qRT-PCR and Western Blot. Results A eukaryotic expression vector pCDH-CMV-MCS-EF1-Puro/ARF4 was successfully constructed. The vector could significantly up-regulate the expression of ARF4 mRNA in SKOV3 cells and be successfully packaged into recombinant lentiviral particles in HEK-293T cells. Compared with the control group, the relative expression level of ARF4 mRNA and protein in SKOV3 cells was significantly increased after the infection with LV-ARF4 (all P<0.001). Conclusion The recombinant plasmid pCDH-CMV-MCS-EF1-Puro/ARF4 and lentiviral vector LV-ARF4 were successfully constructed. The establishment of stably infected SKOV3 cell line with LV-ARF4 provides an experimental foundation for further studies on the biological function of ARF4 in ovarian cancer.

AIM:TostudythechangeofradiosensitivityofU251cellsaftertreatedwithsodiumdichloroacetate ( DCA) and further to explore the possible mechanism .METHODS: The U251 cells were divided into 4 groups: control group, DCA group, X-ray irradiation without DCA pretreatment ( IR) group and X-ray irradiation with DCA pretreatment ( DIR) group.MTT assay was applied to determine the cell viability .The intracellular reactive oxygen species ( ROS) were detected by DHE fluorescence .The expression level of Bcl-2 was assessed by Western blot .The percentage of apoptosis of cells was determined by flow cytometry .RESULTS:No difference between control group and DCA group in cell viability (P>0.05) was observed.However, the cell viability of both IR group and DIR group was markedly reduced compared with control group ( P<0.05).Furthermore, the viability of DIR group was significantly decreased compared with IR group ( P<0.05 ) .The percentage of ROS positive cells was obviously increased in DIR group compared with IR group (P<0.05).The expression level of Bcl-2 was sharply decreased in DIR group (P<0.05) and the percentage of apoptosis of cells was significantly elevated ( P<0.05) in DIR group compared with IR group .CONCLUSION:The better antitu-mor effect was obtained by improving the radiosensitivity through pretreating the cells with DCA , and the possible mecha-nism was down-regulation of the Bcl-2 expression by developing the intracellular ROS .

OBJECTIVEThe aim of this study is to investigate the effects of irradiation on the proliferation and differentiation of MC3T3-E1 osteoblastic cells.

METHODSMC3T3-E1 cells were irradiated 24 h after initial seeding. Gamma-radiation was administered at 0, 4, and 8 Gy as single doses by using a 60Co source. Cell proliferation was assessed at days 1, 3, 5, and 7 post-irradiation by using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenylte-trazolium bromide assay. The collagen secretion of the cells was measured through sirius red staining at day 12 post-irradiation. The expressions of osteogenesis-related genes were assessed through real time fluorescence quantitative polymerase chain reaction at day 16 post-irradiation. The matrix mineralization caused by cells was evaluated through alizarin red staining at day 28 post-irradiation.

RESULTSThe cells exposed to 4 Gy or 8 Gy demonstrated significantly lower proliferation rates compared with the non-irradiated group. Doses of 4 Gy or more significantly inhibited the expressions of osteogenesis-related genes (Osterix and osteocalcin). Collagen secretion and cell mineralization were significantly reduced by the 8 Gy dose.

CONCLUSION60Co gamma-rays dose-dependently suppress the proliferation, collagen secretion, and mineralization of MC3T3-E1 cells. Furthermore, radiation seems to dose-dependently inhibit the expressions of osteogenesis-related genes of the cells.

Objective The aim of this study is to investigate the effects of irradiation on the proliferation and differentiation of MC3T3-E1 osteoblastic cells. Methods MC3T3-E1 cells were irradiated 24 h after initial seeding. Gamma-radiation was administered at 0, 4, and 8 Gy as single doses by using a 60Co source. Cell proliferation was assessed at days 1, 3, 5, and 7 post-irradiation by using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenylte-trazolium bromide assay. The collagen secretion of the cells was measured through sirius red staining at day 12 post-irradiation. The expressions of osteogenesis-related genes were assessed through real time fluorescence quantitative polymerase chain reaction at day 16 post-irradiation. The matrix mineralization caused by cells was evaluated through alizarin red staining at day 28 post-irradiation. Results The cells exposed to 4 Gy or 8 Gy demonstrated significantly lower proliferation rates compared with the non-irradiated group. Doses of 4 Gy or more significantly inhibited the expressions of osteogenesis-related genes (Osterix and osteocalcin). Collagen secretion and cell mineralization were significantly reduced by the 8 Gy dose. Conclusion 60Co γ-rays dose-dependently suppress the proliferation, collagen secretion, and mineralization of MC3T3-E1 cells. Furthermore, radiation seems to dose-dependently inhibit the expressions of osteogenesis-related genes of the cells.