Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of 2243 frontline workers from cable and shipbuilding enterprises were selected as study subjects to investigate the incidence of non-fatal occupational injuries and collect information at four levels: individual, equipment, management, and environment in past 12 months. Data balancing was performed using resampling, and LASSO regression was used to select factors of non-fatal occupational injuries. The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. The area under the receiver operating characteristic (ROC)curve (AUC) was used to test the performance of the model, with an AUC value > 0.7 indicating good model performance. Results Among the 2243 frontline workers, males accounted for 77.7% (1742 out of 2243), with the main age range being 40-49 years old, representing 29.5% (661 out of 2243), 82.7% of the workers (1854 out of 2243) were married, and 55.6% (1248 out of 2243) had a junior middle school education level. The average monthly income for 51.0% (1144 out of 2243) of the workers was between 5000 and 6999 Chinese Yuan. The incidence of non-fatal occupational injuries among the manufacturing workers was 8.4% (189/2243) in the past 12 months. Among the 22 factors associated with the occurrence of non-fatal occupational injuries (P<0.05), 10 were individual-level factors, including gender, smoking, alcohol consumption, colleague relationships, average exercise duration, job burnout, work fatigue, musculoskeletal disorders, cardiovascular diseases, and neurological and sensory organ diseases; 3 were equipment-level factors, including equipment operability, hazardous workpieces, and safety hazards; 5 were environmental-level factors, including low temperatures, special operations, noise, workspace size, and dirty and disorderly environment; and 4 were management-level factors, including daily working hours, weekly working days, overtime, and pre-job technical training. The AUC value of the LASSO regression model was 0.704 and the final model retained a total of 10 variables. Among them, there were 7 risk factors for non-fatal occupational injuries (coefficient > 0), including safety hazards, musculoskeletal disorders, dangerous workpieces, job burnout, dirty and disorderly environment, smoking, and male gender; and 3 protective factors (coefficient < 0), including pre-job technical training, good colleague relationship, and long working days per week. Conclusion Manufacturing enterprises need to focus on the incidence of non-fatal occupational injuries and conduct targeted interventions for non-fatal occupational injuries by controlling potential safety hazards, providing pre-job technical training, reducing dangerous workpieces, rectifying working environment, and reasonably arranging working hours.

Background Diseases severely affect the efficiency of workers. Comorbidity refers to the coexistence of two or more chronic diseases or health problems in the same individual. Previous studies have primarily focused on occupational injuries caused by environmental exposures, while the analysis of the epidemiological characteristics of self-reported diseases and occupational injuries among manufacturing workers has been insufficient. Objective To analyze the distribution of self-reported diseases and occupational injuries among manufacturing workers, the strength of correlation between different diseases, and common disease combinations, and to preliminarily explore the relationship between self-reported diseases and occupational injuries. Methods A cross-sectional survey was conducted to investigate the occupational injuries of 2382 workers in 2 manufacturing enterprises over the past year, and 2355 questionnaires were valid after cleaning. The questionnaire included three parts: basic information, occupational injury occurrence, and disease prevalence. The self-reported diseases diagnosed by physicians included musculoskeletal diseases, cardiovascular diseases, respiratory diseases, mental health problems, neurological and sensory organ diseases, digestive organ diseases, reproductive and urinary organ diseases, skin diseases, tumors, endocrine and metabolic system diseases, blood diseases and birth defects, a total of 11 types. Log-binomial model was used to calculate the prevalence ratio (PR) value of the association between different diseases, and UpSet diagram was used to present the disease combination pattern. Results In total, 40.2% (946/2355) of the study participants reported at least one disease, while 8.6% (203/2355), 5.2% (122/2355), and 5.9% (140/2355) reported having two, three, and four or more diseases, respectively. A higher prevalence was observed for musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases, which accounted for 18.0% (423/2355), 13.8% (324/2355), 9.3% (218/2355), and 9.1% (214/2355), respectively. Workers with musculoskeletal disorders, cardiovascular diseases, or neurological and sensory organ diseases reported significantly higher incidence of occupational injuries compared with workers without the corresponding diseases (P<0.001, P=0.041, and P=0.006, respectively). Musculoskeletal diseases were strongly associated with comorbidities of neurological and sensory organ diseases (PR values were 1.86 and 1.98, respectively), and the other patters were musculoskeletal diseases and digestive organ diseases (PR and OR values were 1.57 and 2.35, respectively), and musculoskeletal diseases and cardiovascular diseases (PR and OR values were 1.46 and 2.22, respectively). The largest binomial comorbidity group involved musculoskeletal diseases and neurological and sensory organ diseases, accounting for 5.4% (25/465) of the comorbid workers. Conclusion Among the self-reported diseases of manufacturing workers, musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases are more common. Musculoskeletal diseases and neurological and sensory organ diseases are the most common in all comorbidities. Musculoskeletal diseases, cardiovascular diseases, and neurological and sensory organ diseases are associated with occupational injuries. In the prevention and control of occupational injuries, joint prevention strategies targeting multiple diseases should be strengthened.

Background At present, the treatment of silicosis is still limited, and no method is available to cure the disease. miRNAs are involved in the process of fibrosis at the transcriptional level by directly degrading target gene mRNA or inhibiting its translation. However, how miR-130a-3p regulates silicosis fibrosis has not been fully elucidated yet. Objective To investigate whether miR-130a-3p promotes epithelial-mesenchymal transition (EMT) by inhibiting peroxisome proliferators-activated receptors gamma (PPAR-γ), thereby pro-moting the process of silicotic fibrosis. To identify effective new targets for the treatment of silicotic fibrosis. Methods (1) Animal experiments: C57BL/6J mice were intratracheally injected with a one-time dose of 10 mg silica suspension (dissolved in 100 μL saline) as positive lung exposure. A silicosis model group was established 28 d after the exposure. A control group was injected with the same amount of normal saline into the trachea. Hematoxylin-eosin staining and Sirius red staining were used to observe the pathological changes and collagen deposition in lung tissues respectively. Realtime fluorescence-based quantitative polymerase chain reaction (RT-qPCR) was used to assay the expression of miR-130a-3p and PPAR-γ mRNA in lung tissues. Western blotting was used to detect the protein expression of PPAR-γ, transforming growth factor (TGF)-β1, E-cadherin, α-smooth muscle actin (α-SMA), and Collagen Ⅰ in lung tissues. (2) Cells experiments: Mouse lung epithelial cells (MLE-12) were induced with 5 µg·L⁻¹ TGF-β1 for different time (0, 12, 24, 48 h). RT-qPCR was used to detect the expression of miR-130a-3p and PPAR-γ mRNA in cells. The binding relationship between miR-130a-3p and PPAR-γ mRNA was verified by dual luciferase reporter gene assay. MLE-12 cells were stimulated by 5 µg·L⁻¹ TGF-β1 after transfection of miR-130a-3p inhibitor, and Western blotting was used to measure the protein expression of PPAR-γ, E-cadherin, and α-SMA in the TGF-β1-induced cells. Results In the silicosis model group, the alveolar septum was widened and the pulmonary nodules were formed. The Sirius red staining collagen deposition in pulmonary nodules indicated that a silicosis fibrosis model was successfully established. The expressions of TGF-β1, α-SMA, and Collagen Ⅰ proteins were increased, and the expressions of E-cadherin and PPAR-γ proteins were decreased in lung tissues of the silicosis group, compared with the control group (P<0.05 or P<0.01). The expression of miR-130a-3p was increased and the expression of PPAR-γ mRNA was decreased in lung tissues of the silicosis model (P<0.01). The expression of miR-130a-3p was significantly increased, while the expression of PPAR-γ mRNA was decreased in the TGF-β1 induced MLE-12 cells (P<0.05 or P<0.01). The dual luciferase reporter assay showed a direct relationship between miR-130a-3p and PPAR-γ mRNA in MLE-12 cells. The transfection of miR-130a-3p inhibitor in the TGF-β1 induced MLE-12 cells inhibited the decrease of PPAR-γ and E-cadherin proteins, and the increase of α-SMA protein in the MLE-12 cells induced by TGF-β1 (P<0.05 or P<0.01). Conclusion miR-130a-3p promotes the development of silicosis fibrosis by targeting PPAR-γ to increase pulmonary EMT.

Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

ObjectiveTo study the mechanism of compound Xishu granules （CXG） in inhibiting the proliferation of hepatocellular carcinoma cells by regulating ferroptosis. MethodsThe transplanted tumor model of human Huh7 was established with nude mice and the successfully modeled mice were randomized into model， Fufang Banmao （0.21 g·kg^-1）， low-dose （1.87 g·kg^-1） CXG， medium-dose （3.74 g·kg^-1） CXG， and high-dose （7.49 g·kg^-1） CXG groups. Mice were administrated with drinking water or CXG for 28 days， and the body weight and tumor volume were measured every 4 days. Hematoxylin-eosin staining was employed to observe the histopathological changes of tumors. The cell-counting kit-8 （CCK-8） was used to examine the survival rate of Huh7 cells treated with different concentrations （0， 31.25， 62.5， 125， 250， 500， 1 000 mg·L^-1） of CXG for 24 h and 48 h. CA-AM， DCFH-DA， and C11-BODIPY^581/591 fluorescent probes were used to determine the intracellular levels of ferrous ion （Fe²⁺）， reactive oxygen species （ROS）， and lipid peroxide （LPO）， respectively. The colorimetric method was employed to measure the levels of glutathione （GSH） and superoxide dismutase （SOD）. Western blot was employed to determine the protein levels of glutathione peroxidase 4 （GPX4）， transferrin receptor 1 （TFR1）， and ferritin heavy chain 1 （FTH1）， respectively. ResultsIn the animal experiment， compared with the model group， the drug treatment groups showed reductions in the tumor volume from day 12 （P<0.01）. After treatment， the Fufang Banmao and low-， medium-， and high-dose CXG groups had lower tumor volume， relative tumor volume， and tumor weight than the model group （P<0.05）， with tumor inhibition rates of 48.99%， 79.93%， 91.38%， and 97.36%， respectively. Moreover， the CXG groups had lower tumor volume and relative tumor volume （P<0.05 in all the three dose groups） and lower tumor weight （P<0.05 in medium-dose and high-dose groups） than the Fufang Banmao group. Compared with the model group， the drug treatment groups showed reduced number of tumor cells， necrotic foci with karyopyknosis， nuclear fragmentation， and nucleolysis， and the high-dose CXG group showed an increase in the proportion of interstitial fibroblasts. In the cell experiment， compared with the blank group， CXG reduced the survival rate of Huh7 cells in a dose-dependent manner after incubation for 24 h and 48 h （P<0.05）. Compared with the blank group， the RSL3 group and the low-， medium-， and high-dose CXG groups showed a decrease in the relative fluorescence intensity of CA-AM and increases in the fluorescence intensity of DCFH-DA and fluorescence ratio of C11-BODIPY^581/591， which indicated elevations in the levels of Fe²⁺ （P<0.01）， ROS （P<0.05）， and LPO （P<0.01）， respectively. Compared with the blank group， the RSL3 and low-， medium-， and high-dose CXG groups showed lowered levels of GSH and SOD （P<0.05）. In addition， the RSL3 group and the medium- and high-dose CXG groups showed down-regulated expression of GPX4 and FTH1 （P<0.05）， and the low- and high-dose CXG groups presented up-regulated expression of TFR1 （P<0.05）. ConclusionCXG suppresses the proliferation of hepatocellular carcinoma cells by inducing ferroptosis via downregulating the GSH-GPX4 signaling axis and increasing intracellular Fe²⁺and LPO levels.

ObjectiveTo investigate the protective effect of Rehmanniae Radix iridoid glycosides （RIG） on the kidney tissue of streptozotocin （STZ）-induced diabetic mice and explore the underlying mechanism. MethodsTwelve of 72 male C57BL/6J mice were randomly selected as the normal group， and the remaining 60 mice were fed with a high-fat diet for six weeks combined with injection of 60 mg·kg^-1 STZ for 4 days to model type 2 diabetes mellitus. The successfully modeled mice were randomized into model， metformin （250 mg·kg^-1）， catalpol （100 mg·kg^-1）， low-dose RIG （RIG-L， 200 mg·kg^-1） and high-dose RIG （RIG-H， 400 mg·kg^-1） groups （n=11）. Mice in each group were administrated with corresponding drugs， while those in the normal group and model group were administrated with the same dose of distilled water by gavage once a day. After 8 weeks of intervention， an oral glucose tolerance test （OGTT） was performed， and the area under the curve （AUC） was calculated. After mice were sacrificed， both kidneys were collected. The body weight， kidney weight， and fasting blood glucose （FBG） were measured. Biochemical assays were performed to measure the serum levels of triglycerides （TG）， total cholesterol （TC）， serum creatinine （SCr）， and blood urea nitrogen （BUN）. Enzyme-linked immunosorbent assay （ELISA） was employed to determine the serum level of fasting insulin （FINS）， and the insulin sensitivity index （ISI） and homeostatic model assessment for insulin resistance （HOMA-IR） were calculated. The pathological changes in kidneys of mice were observed by hematoxylin-eosin staining and Masson staining. The immunohistochemical method （IHC） was employed to assess the expression of interleukin-1 （IL-1）， interleukin-6 （IL-6）， tumor necrosis factor-α（TNF-α）， transforming growth factor-β₁ （TGF-β₁）， and collagen-3 （ColⅢ） in the kidney tissue. The protein levels of TGF-β₁， cell signal transduction molecule 3 （Smad3）， matrix metalloproteinase-9 （MMP-9）， and ColⅢ in kidneys of mice were determined by Western blot. ResultsCompared with the normal group， the model group showcased decreased body weight and ISI （P<0.01）， increased kidney weight， FBG， AUC， FINS， HOMA-IR， TC， TG， SCr， and BUN （P<0.01）， glomerular hypertrophy， capsular space narrowing， and collagen deposition in the kidney， up-regulated protein levels of IL-1， IL-6， TNF-α， TGF-β₁， ColⅢ， and Smad3 （P<0.01）， and down-regulated protein level of MMP-9 （P<0.01） in the kidney tissue. Compared with the model group， the treatment groups had no significant difference in the body weight and decreased kidney weight （P<0.05， P<0.01）. The FBG level declined in the RIG-H group after treatment for 4-8 weeks and in the metformin， catalpol， and RIG-L groups after treatment for 6-8 weeks （P<0.01）. The AUC in the RIG-L， RIG-H， and metformin groups decreased （P<0.05， P<0.01）. The levels of TC， SCr， and BUN in the serum of mice in each treatment group became lowered （P<0.05， P<0.01）. The level of TG declined in the RIG-L， RIG-H， and metformin groups （P<0.05， P<0.01）. The serum level of FINS declined in the catalpol， RIG-L， and metformin groups （P<0.01）. Compared with the model group， the treatment groups showed decreased HOMA-IR （P<0.01）， increased ISI （P<0.01）， alleviated pathological changes in the kidney tissue， and down-regulated expression of IL-1 and TGF-β₁. In addition， the protein levels of IL-6， TNF-α， and ColⅢ in the RIG-H and metformin groups and IL-6 and TNF-α in the RIG-L group were down-regulated （P<0.05， P<0.01）， and the protein levels of IL-6， TNF-α， and ColⅢ in the catalpol group and ColⅢ in the RIG-L group showed a decreasing trend without statistical difference. The protein levels of TGF-β₁， Smad3， and ColⅢ in the RIG-H and metformin groups were down-regulated （P<0.01）. Compared with that in the model group， the protein level of MMP-9 was up-regulated in each treatment group （P<0.01）. ConclusionRIG can improve the renal structure and function of diabetic mice by regulating the TGF-β₁/Smads signaling pathway.

ObjectiveTo clarify the anti-inflammatory and lung-protective effects of Yantiao prescription on lipopolysaccharide （LPS）-induced acute lung injury （ALI）， and to explore the impact of Yantiao prescription on the metabolic pathways of arachidonic acid （AA） in vivo. MethodsThirty male C57BL/6J mice were randomly divided into the following groups based on body weight： normal group， model group， dexamethasone group （2 mg·kg^-1）， low-dose Yantiao prescription group （18 g·kg^-1）， and high-dose Yantiao prescription group （36 g·kg^-1）， with 6 mice in each group. The ALI mouse model was established by intraperitoneal injection of LPS. The treatment groups received oral gavage once a day for 7 consecutive days， and serum and lung tissue were collected at the end of the experiment. The content of pro-inflammatory cytokines tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6） in serum was detected by enzyme-linked immunosorbent assay （ELISA）. Hematoxylin-eosin （HE） staining was used to assess lung tissue pathology. The wet/dry weight ratio （W/D） and myeloperoxidase （MPO） activity in lung tissue were measured. The content of AA metabolites in serum and lung tissue was measured by liquid chromatography triple quadrupole-mass spectrometry （LC-MS/MS）. ResultsCompared with the conditions in the normal group， the content of serum pro-inflammatory cytokines TNF-α， IL-1β， and IL-6 in the model group was significantly increased （P<0.01）. The alveolar structure in mice was severely damaged， with markedly thickened alveolar walls and extensive inflammatory cell infiltration. The W/D ratio and MPO activity in lung tissue were significantly increased （P<0.01）. The content of AA metabolites， including prostaglandin D₂ （PGD₂）， prostaglandin E₂ （PGE₂）， 11（S）-hydroxy-eicosatetraenoic acid ［11（S）-HETE］， and 5-hydroxy-eicosatetraenoic acid （5-HETE） in serum and lung tissue was significantly increased （P<0.05）， while the content of 11，12-epoxyeicosatrienoic acid （11，12-EET） and 14，15-epoxyeicosatrienoic acid （14，15-EET） in serum was significantly decreased （P<0.01）. Compared with the results in the model group， the content of serum pro-inflammatory cytokines TNF-α， IL-1β， and IL-6 in the dexamethasone group， low-dose Yantiao prescription group， and high-dose Yantiao prescription group was significantly reduced （P<0.05）. Mild thickening of alveolar walls， scattered inflammatory cell infiltration， and relatively intact tissue structure with improved alveolar architecture were observed. The W/D ratio and MPO activity in lung tissue were significantly reduced （P<0.01）. The content of AA metabolites PGD₂， PGE₂， 11（S）-HETE， and 5-HETE in serum from the dexamethasone group was significantly decreased （P<0.05）， while the content of 14，15-EET in serum significantly increased （P<0.01）， and the content of 5-HETE in lung tissue significantly decreased （P<0.01）. In the low-dose and high-dose Yantiao prescription groups， the content of AA metabolites PGD₂， PGE₂， 11（S）-HETE， and 5-HETE in serum and lung tissue was significantly decreased （P<0.05）， while the content of 11，12-EET in both serum and lung tissue was significantly increased （P<0.05）. ConclusionYantiao prescription has significant protective effects against LPS-induced ALI， which are related to its regulation of AA metabolic pathways in vivo.

Alzheimer's disease （AD）， a degenerative disease of the central nervous system， is characterized by progressive degradation of learning， memory， and cognitive functions. Currently， few drugs are available for treating AD， and their effects are limited. Berberine （BBR） is a natural isoquinoline （quaternary ammonium-like） with a wide range of pharmacological effects. Studies have proven that BBR has good potential in the treatment of AD. Specifically， BBR can inhibit the generation， aggregation， and neurotoxicity of amyloid-β and the hyperphosphorylation of Tau protein， promote the clearance of phosphorylated Tau protein， reduce the cholinesterase activity， neuroinflammation， and oxidative stress， regulate neuronal apoptosis， improve the mitochondrial function and glucose and lipid metabolism， suppress the monoamine oxidase activity， and modulate gut microbiota. In addition， researchers have ameliorated the low bioavailability of BBR. Probing into the potential targets is hoped to provide a reference for further research on the prevention and treatment of AD by BBR.

ObjectiveTo investigate the effect and mechanism of Qingre Sanzhuo decoction in treating gouty arthritis （GA） combined with hyperuricaemia （HUA）. MethodsSixty male SD rats were randomized into normal， model， colchicine （0.5 mg·kg^-1）， and low-， medium-， and high-dose （17， 34， 68 g·kg^-1， respectively） Qingre Sanzhuo decoction groups （n=10）. The rats in other groups except the normal group were treated with the modified method for the modeling of GA combined with HUA. The drug intervention groups were administrated with corresponding drugs by gavage in the afternoon every day and the normal group and the model group were administrated with an equal volume of sterile normal saline by gavage. The level of uric acid （SUA） in the serum was measured 2 h after the last administration. The degree of ankle joint swelling was calculated 0.5， 12， 24， 48 h after modeling， and joint inflammation was scored. The pathological changes of ankle joints were observed by hematoxylin-eosin staining， and the serum levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， C reactive protein （CRP）， and interleukin-18 （IL-18） were measured by enzyme-linked immunosorbent assay. Real-time PCR was performed to determine the mRNA levels of NOD-like receptor protein 3 （NLRP3）， apoptosis-associated speck-like protein containing CARD （ASC）， cysteinyl aspartate-specific protease-1 （Caspase-1）， gasdermin D （GSDMD）， and nuclear factor-kappa B （NF-κB） in the synovial tissue of ankle joints. Western blot was employed to determine the protein levels of NLRP3， ASC， and Caspase-1 in ankle joints. The immunohistochemical method was used to detect the expression of GSDMD and NF-κB in the synovial tissue of ankle joints. ResultsCompared with the normal group， the model group showed increased SUA in the serum （P<0.05）， ankle joint swelling and joint inflammation （P<0.05）， increased number of blood vessels in the synovium， inflammatory cell foci in the synovial bursa， elevated serum levels of TNF-α， IL-1β， CRP， and IL-18 （P<0.05）， and up-regulated mRNA and protein levels of NLRP3， ASC， Caspase-1， GSDMD， and NF-κB in the synovial tissue of ankle joints （P<0.05）. Compared with the model group， the medium- and high-dose Qingre Sanzhuo decoction groups showed reduced SUA in the serum （P<0.05）， alleviated ankle joint swelling and joint inflammation （P<0.05）， lowered serum levels of TNF-α， IL-1β， CRP， and IL-18 （P<0.05）， and down-regulated mRNA and protein levels of NLRP3， ASC， Caspase-1， GSDMD， and NF-κB in the synovial tissue of ankle joints （P<0.05）. However， in terms of ameliorating the pathological changes of ankle joints， only the high-dose Qingre Sanzhuo decoction group showed normal morphology of the synovial membrane of ankle joints and no obvious lesion in the articular cartilage. ConclusionQingre Sanzhuo decoction may play a role in preventing and controlling GA combined with HUA by down-regulating the activity of NLRP3/ASC/Caspase-1 pathway and inhibiting the expression of inflammatory cytokines， such as TNF-α， IL-1β， CRP， and IL-18.

OBJECTIVE To know about the perception and current status of drug risk management among pharmacists in Chinese medical institutions， providing insights and recommendations for enhancing the drug risk management system in medical institutions. METHODS A questionnaire survey was conducted across 28 provinces， cities， and autonomous regions； stratified radom sampling was employed to study the population of medical workers and pharmaceutical professionals in medical institutions nationwide. The survey included information on the survey population， the current status of drug risk management implementation in medical institutions， the cognition， definition and process of drug risk management related concepts， and the content and mode of drug risk management work in medical institutions. Finally， suggestions were collected from various medical institutions on the system construction of drug risk management. Descriptive statistical analysis was adopted to summarize the obtained data. RESULTS A total of 446 questionnaires were collected in this survey， including 420 valid questionnaires and 26 invalid questionnaires. The questionnaire collection rate was 100%，and the effective rate was 94.17%. 51.19% of the respondents No.2020YFC2009001）。 based their understanding of drug risk management on Management Measures for Adverse Drug Reaction Reports and Monitoring， while 87.38% recognized the need for drug risk management throughout the drug use process. 63.33% of the participants stated that their medical institutions had dedicated positions related to drug risk management， with the highest proportion （72.17%） was in third-grade class A medical institutions. 66.43% reported implementing risk management across all drug use stages. Suggestions for the development of drug risk management systems in medical institutions by the research participants focused on enhancing guiding documents， clarifying concepts， establishing information-sharing mechanisms. CONCLUSIONS The overall awareness of drug risk management in China’s medical institutions is high， with practices in place across various stages in multiple forms. However， there remains a need to strengthen institutional documents， management regulations， system development， and information-sharing mechanisms to improve collaborative governance， improve drug management levels， and ensure patient safety.