ObjectiveTo explore the mechanism by which Sini San （SNS） inhibits ferroptosis， alleviates inflammation and myocardial injury， and improves myocardial infarction （MI）. MethodsThe active ingredients of SNS were obtained by searching the Traditional Chinese Medicine System Pharmacology Platform （TCMSP） database， its target sites were predicted using the SwissTargetPrediction Database， and the core components were screened out using the CytoNCA plug-in. The targets of MI and ferroptosis were obtained by using GeneCards， Online Mendelian Inheritance in Man （OMIM） database， DrugBank， Therapeutic Target Database （TTD）， FerrDb database and literature review， respectively. The intersection of these targets of SNS-MI-ferroptosis was plotted as a Venn diagram. The protein-protein interaction （PPI） network was constructed using the STRING database， and the visualization graph was prepared using Cytoscape. The core targets were screened out using the CytoNCA plug-in， and the biological functions were clustered by the MCODE plug-in. Gene Ontology （GO） functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis were performed using the David database. Molecular docking was performed using AutoDock and visualized with PyMOL2.5.2. The Kunming mice were randomly divided into the control group， the model group， the SNS group， and the trimetazidine （TMZ） group. The mice were subcutaneously injected with isoprenaline （ISO， 5 mg·kg^-1·d^-1） to establish an MI model. The drug was continuously intervened for 7 days. The ST-segment changes were recorded by electrocardiogram （ECG）， and the tissue morphology changes were observed by hematoxylin-eosin （HE） staining. Cardiomyocyte ferroptosis was investigated by transmission electron microscopy. Serum creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， reduced glutathione （GSH）， and malondialdehyde （MDA） levels were detected by biochemical assay. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of interleukin （IL）-6 and 4-hydroxynonenal （4-HNE）. Immunohistochemical staining was employed to detect IL-6 and phosphorylated signal transducer and transcription activator 3 （p-STAT3） in cardiac tissues. Western blot was used to detect STAT3 and p-STAT3 in cardiac tissues. Real-time PCR was used to detect the levels of IL-6， IL-18， solute carrier family 7 member 11 （SLC7A11）， arachidonic acid 15-lipoxygenase （ALOX15）， and glutathione peroxidase 4 （GPx4） in cardiac tissues. ResultsA total of 121 active ingredients of SNS were obtained， and 58 potential targets of SNS in the treatment of MI by regulating ferroptosis were screened. The three protein modules with a score5 were mainly related to the inflammatory response. The GO function was mainly related to inflammation， and KEGG enrichment analysis showed that SNS mainly regulated ferroptosis- and inflammation- related signaling pathways. Molecular docking indicated that the core component had a higher binding force to the target site. Animal experiments confirmed that SNS reduced the level of p-STAT3 （P0.01）， down-regulated the expression of ALOX15 mRNA （P0.01）， up-regulated the level of serum GSH， and the expressions of SLC7A11 and GPx4 mRNA， reduced MDA and 4-HNE levels （P0.05， P0.01）. Additionally， SNS improved the mitochondrial injury induced by cardiomyocyte ferroptosis， reduced the area of MI， alleviated inflammation and myocardial injury， lowered the levels of serum CK， CK-MB， LDH， IL-6， and the mRNA expression levels of IL-16 and IL-18 （P0.05）， and improved ST segment elevation. ConclusionSNS can reduce ISO-induced STAT3 phosphorylation levels， inhibit ferroptosis in cardiomyocytes， alleviate inflammation and myocardial injury， thereby improving MI.

ObjectiveTo explore the mechanism by which Sini San （SNS） inhibits ferroptosis， alleviates inflammation and myocardial injury， and improves myocardial infarction （MI）. MethodsThe active ingredients of SNS were obtained by searching the Traditional Chinese Medicine System Pharmacology Platform （TCMSP） database， its target sites were predicted using the SwissTargetPrediction Database， and the core components were screened out using the CytoNCA plug-in. The targets of MI and ferroptosis were obtained by using GeneCards， Online Mendelian Inheritance in Man （OMIM） database， DrugBank， Therapeutic Target Database （TTD）， FerrDb database and literature review， respectively. The intersection of these targets of SNS-MI-ferroptosis was plotted as a Venn diagram. The protein-protein interaction （PPI） network was constructed using the STRING database， and the visualization graph was prepared using Cytoscape. The core targets were screened out using the CytoNCA plug-in， and the biological functions were clustered by the MCODE plug-in. Gene Ontology （GO） functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis were performed using the David database. Molecular docking was performed using AutoDock and visualized with PyMOL2.5.2. The Kunming mice were randomly divided into the control group， the model group， the SNS group， and the trimetazidine （TMZ） group. The mice were subcutaneously injected with isoprenaline （ISO， 5 mg·kg^-1·d^-1） to establish an MI model. The drug was continuously intervened for 7 days. The ST-segment changes were recorded by electrocardiogram （ECG）， and the tissue morphology changes were observed by hematoxylin-eosin （HE） staining. Cardiomyocyte ferroptosis was investigated by transmission electron microscopy. Serum creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， reduced glutathione （GSH）， and malondialdehyde （MDA） levels were detected by biochemical assay. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of interleukin （IL）-6 and 4-hydroxynonenal （4-HNE）. Immunohistochemical staining was employed to detect IL-6 and phosphorylated signal transducer and transcription activator 3 （p-STAT3） in cardiac tissues. Western blot was used to detect STAT3 and p-STAT3 in cardiac tissues. Real-time PCR was used to detect the levels of IL-6， IL-18， solute carrier family 7 member 11 （SLC7A11）， arachidonic acid 15-lipoxygenase （ALOX15）， and glutathione peroxidase 4 （GPx4） in cardiac tissues. ResultsA total of 121 active ingredients of SNS were obtained， and 58 potential targets of SNS in the treatment of MI by regulating ferroptosis were screened. The three protein modules with a score5 were mainly related to the inflammatory response. The GO function was mainly related to inflammation， and KEGG enrichment analysis showed that SNS mainly regulated ferroptosis- and inflammation- related signaling pathways. Molecular docking indicated that the core component had a higher binding force to the target site. Animal experiments confirmed that SNS reduced the level of p-STAT3 （P0.01）， down-regulated the expression of ALOX15 mRNA （P0.01）， up-regulated the level of serum GSH， and the expressions of SLC7A11 and GPx4 mRNA， reduced MDA and 4-HNE levels （P0.05， P0.01）. Additionally， SNS improved the mitochondrial injury induced by cardiomyocyte ferroptosis， reduced the area of MI， alleviated inflammation and myocardial injury， lowered the levels of serum CK， CK-MB， LDH， IL-6， and the mRNA expression levels of IL-16 and IL-18 （P0.05）， and improved ST segment elevation. ConclusionSNS can reduce ISO-induced STAT3 phosphorylation levels， inhibit ferroptosis in cardiomyocytes， alleviate inflammation and myocardial injury， thereby improving MI.

ObjectiveTo systematically investigate the discrepancies between employment preferences and actual job placements among postgraduate students in rehabilitation medicine, explore the influencing factors, and elucidate the underlying mechanisms of their employment decisions. MethodsA cross-sectional questionnaire survey was conducted among 100 full-time postgraduate students who had graduated from Capital Medical University School of Rehabilitation in the past six years. A self-designed questionnaire was used to collect information on personal background, self-assessed competencies, employment preferences, and actual job placements. Logistic regression models were employed to analyze the factors influencing employment preferences and actual job placements, respectively. ResultsEmployment preferences among rehabilitation medicine postgraduates were highly concentrated on large tertiary hospitals (79.0%), yet the actual placement rate (61.0%) showed a significant gap. Preference for tertiary hospitals showed no significant association with individual factors such as gender, degree type or self-assessed competencies (P > 0.05). Univariate analysis revealed that those who entered tertiary hospitals scored significantly higher in self-assessed clinical skills, research ability, communication and coordination, and resource integration (|t| > 3.661, P < 0.001), and demonstrated clearer career planning (P = 0.012). Multivariate logistic regression analysis did not identify any independent predictors of actual employment within the context of this study sample (P > 0.05). ConclusionEmployment among rehabilitation medicine postgraduates is characterized by highly homogeneous preferences coexisting with complexity of factors influencing actual employment. It is recommended to optimize the training system, deepen personalized career education, and establish diversified employment guidance mechanisms to promote rational talent flow and facilitate the balanced development of the rehabilitation medical service system.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Background The positive rate of work-related musculoskeletal disorders (WMSDs) among coal mine workers remains high, which seriously affects the quality of life of the workers. Objective To estimate the prevalence of WMSDs among coal miners in Shanxi Province and analyze their influencing factors. Methods From May to December 2023, 2315 coal miners from a coal mine enterprise inShanxi Province were selected by convenience sampling, and the self-administered Basic Situation Survey Scale, Musculoskeletal Disorders Questionnaire, Effort-Reward Imbalance Questionnaire, and Pittsburgh Sleep Quality Scale were used to evaluate general demographic characteristics, work organization characteristics, living habits, sleep quality, occupational stress, and occurrence of WMSDs symptoms and the corresponding absences (sickness absence) in past 1 year. The positive rate and absenteeism rate of WMSDs were caculated, and Pearson's chi-square test was used for identify influencing factors of WMSDs, and finally a binary logistic regression method was used to further studying the factors. Results A total of 2577 questionnaires were distributed in this survey, and 2315 valid questionnaires were recovered, with an effective recovery rate of 89.9%. The positive rate of WMSDs symptoms was 48.7% (1127/2315), the absenteeism rate due to WMSDs was 22.6% (523/2315), and the waist (17.5%), neck (11.7%), and knee (9.0%) were the most common areas presenting WMSDs symptoms. The results of logistic regression showed that compared with ≤10 years of service, the risk of WMSDs was higher for those with > 20 years of service (OR=2.167, 95%CI: 1.419, 3.311). Compared with the daily working time of ≤8 h, the risk of WMSDs was higher for those >8 h daily working time (OR=1.463, 95%CI: 1.211, 1.767). A higher risk of WMSDs was reported in workers with moderate labor intensity (OR=1.247, 95%CI: 1.009, 1.542) or heavy labor intensity (OR=1.570, 95%CI: 1.215, 2.027) than those with light labor intensity. The higher the education level (OR _{high school and technical secondary school}=1.866, 95%CI: 1.435, 2.425; OR _{junior college/bachelor degree or above}=1.953, 95%CI: 1.445, 2.639), the higher the risk of WMSDs. The risk of WMSDs was higher in workers reporting smoking (OR=1.225, 95%CI: 1.021, 1.470) or alcohol consumption (OR=1.345, 95%CI: 1.122, 1.612). The risk of WMSDs in coal miners with high occupational stress (OR=1.229, 95%CI:1.030, 1.466) or those with sleep disorders (OR=3.616, 95%CI:2.824, 4.629) was higher than that in workers with low occupational stress or no sleep disorders respectively. Conclusion The positive rate of WMSDs among coal mine personnel in Shanxi Province is high, and education level, length of service, daily working hours, smoking, alcohol consumption, labor intensity, sleep disorders, and occupational stress are influencing factors for WMSDs.

Objective To analyze the influencing factors of plastic bronchitis in children with Mycoplasma pneumoniae infection and put forward targeted prevention suggestions. Methods The clinical data of children with Mycoplasma pneumoniae infection who were admitted to Chengdu Third People's Hospital from September 2022 to February 2024 were retrospectively analyzed . According to whether plastic bronchitis occurred, they were divided into plastic group (n=118) and non-plastic group (n=184), and the differences between the two groups were compared and analyzed. Univariate and multivariate logistics regression analysis equations were used to analyze the independent influencing factors of plastic bronchitis in children with mycoplasma pneumoniae infection. Results Among the 302 children with Mycoplasma pneumoniae infection , 118 cases were diagnosed with plastic bronchitis. Analysis showed that the children’s age, duration of fever, hospital stay, pleural effusion rate, number of bronchoscopic lavage, allergy history, endoscopic mucosal erosion rate, WBC, NE%, LY%, CRP, LDH, PCT and D-D were the single factors influencing the occurrence of plastic bronchitis in children with mycoplasma pneumoniae infection. Binary logistics regression analysis revealed that age (OR=2.137, P=0.033, 95% CI: 1.132-16.603), allergy history （OR=3.028, P=0.014, 95% CI: 1.261-864), NE% (OR=2.395, P=0.031, 95% CI: 1.087-5.274), CRP (OR=3.864, P=0.004, 95% CI: 1.563-3.864), PCT (OR=4.125, P=0.001, 95% CI: 1.793-3.864), and D-D (OR=3.920, P=0.002, 95% CI: 1.632-3.864) were independent risk factors for plastic bronchitis in children with mycoplasma pneumoniae infection (P<0.05). Conclusion Age, allergy history, NE%, CRP, PCT and D-D are independent risk factors for plastic bronchitis in children with mycoplasma pneumoniae infection . It is necessary to take clinical intervention measures to reduce the occurrence risk.

Tuberculosis is still the second leading cause of death from a single source of infection in the world.There is a two-way relationship between tuberculosis and the nutritional status of the body,which affects and causes each other.Vitamin D is an essential micronutrient,most research results show that vitamin D deficiency is common in tuberculosis patients,which is related to lack of sunlight,decreased dietary intake of vitamin D and anti-tuberculosis drug treatment.Low level vitamin D can increase tuberculosis susceptibility to some extent,but the research results are not completely consistent.This paper reviews the nutritional status of vitamin D in tuberculosis patients in recent years,the causes of vitamin D deficiency in tuberculosis patients and the relationship between vitamin D deficiency and susceptibility of tuberculosis,so as to provide references for further study on the role of vitamin D in tuberculosis prevention and treatment.

Objective To systematically assess the spatiotemporal distribution,risk factors,and future trends of chronic obstructive pulmonary disease(COPD)among individuals under 50 years of age globally from 1990 to 2021 based on Global Burden of Disease(GBD)data in order to provide support for the formulation of prevention and control strategies of the disease.Methods The GBD data from 1990 to 2021 were analyzed for the incidence,mortality,disability-adjusted life years(DALYs),and estimated annual percentage change(EAPC)of COPD in<50-year-old individuals across 204 countries and regions.The data were stratified by age,sex,region,country,and sociodemographic index(SDI).The COPD trends until 2035 were predicted.Results In 2021,the global incidence of early-onset COPD was estimated at 2.5 million cases(95%uncertainty interval:2.09～2.96 million),representing a 50.55%increase compared to 1990.Significant regional heterogeneity was observed,with low SDI regions experiencing a 134.08%increase,whereas high SDI regions exhibited a rise-then-fall trend.Risk factor analysis identified environmental and occupational exposures(air pollution,ambient ozone pollution,household air pollution from solid fuels,etc.)and smoking as the primary etiological factors.Notably,household solid fuel exposure accounted for 50.90%of COPD-related deaths in low SDI regions,compared to only 0.03%in high SDI regions.Projections indicated that by 2035,the global burden of early-onset COPD will increase to 2.59 million cases.Conclusion The global disease burden of COPD among people under 50 years increased significantly from 1990 to 2021,with pronounced disparities across regions and socioeconomic levels.COPD deaths in low-SDI regions are strongly associated with solid fuel exposure and particulate matter pollution,and these regions are expected to remain the main drivers of global COPD incidence growth through 2035.

Objective:To investigate the mechanism of microRNA-597-3p ( miR-579-3p) in improving hypoxic-ischemic encephalopathy (HIE) by regulating the interleukin-1 receptor-associated kinase 1 (IRAK1)/tumor necrosis factor receptor-associated factor 6 (TRAF6)/transforming growth factor-β-activated kinase 1 (TAK1)/nuclear factor-κB (NF-κB) signaling pathway. Methods:Peripheral blood of healthy neonates ( n=5) and HIE newborns ( n=5) from June 2023 to June 2024 in the No.215 Hospital of Shaanxi Nuclear Industry were collected. The differential expression of miRNA in peripheral blood of neonates with HIE was analyzed by next-generation sequencing. The oxygen-glucose deprivation (OGD) method was used to establish the HIE cell model, which was designated as the OGD group, while cells without OGD treatment served as the control group. Rat adrenal pheochromocytoma PC12 cells were transfected with miR-579-3p mimic (mimic), mimic negative control (mimic-NC), miR-579-3p inhibitor (inhibitor), inhibitor negative control (inhibitor-NC), respectively, and divided into the mimic group, mimic-NC group, inhibitor group, inhibitor-NC group. On the basis of mimic group and inhibitor group, IRAK1 overexpression plasmid ( oeIRAK1) and IRAK1 small interfering RNA plasmid ( siIRAK1) were transfected respectively, which were divided into oeIRAK1 group and siIRAK1 group. The relative expression level of mRNA was detected by real-time reverse transcription-PCR. The absorbance ( A) value was detected by cell counting kit-8 assay. The apoptosis rate was detected by Annexin Ⅴ-fluorescein isothiocyanate/propidium iodide double staining. The relative expression of protein was detected by Western blotting. The levels of pro-inflammatory factors and anti-oxidative stress factors were detected by enzyme-linked immunosorbent assay. Bioinformatics analysis was used to predict the binding site between miR-579-3p and IRAK1, and the dual-luciferase reporter assay was performed to validate their targeting relationship. A total of 12 7-day-old SD rats were selected and randomly divided into the HIE group and the sham group by the random number table method. In the HIE group, the right common carotid artery of rats was permanently occluded, followed by hypoxia exposure, whereas rats in the sham group only underwent common carotid artery exposure without ligation or hypoxia treatment. Immunohistochemical staining was used to detect the expression of protein in brain tissue of HIE rats. The least significant difference t-test was used for comparison between the two groups, and one-way analysis of variance was used for comparison between multiple groups. Results:Compared with the healthy neonates, a total of 278 differentially expressed miRNAs were detected in the peripheral blood of neonates with HIE, among which miR-579-3p showed the most significant downregulation. The relative expression level of miR-579-3p in the mimic group (15.78±1.93) was significantly higher than that in the mimic-NC group (1.00±0.14) ( P<0.01), and in the inhibitor group (0.29±0.14) was significantly lower than that in inhibitor-NC group (1.00±0.14) ( P<0.01). The A value in the mimic group (0.89±0.09) was significantly higher than that in the mimic-NC group (0.52±0.08) ( P<0.01), and in the inhibitor group (0.30±0.05 ) was significantly lower than that in the inhibitor-NC group (0.56±0.07) ( P<0.05). The apoptosis rate of mimic group [(7.47±1.53)%] was significantly lower than that in the mimic-NC group [(30.97±3.47)%] ( P<0.05), and in the inhibitor group [(49.05±4.21)%] was significantly lower than that in the inhibitor-NC group [(35.51±3.64)%] ( P<0.01). The relative expression level of cysteine aspartic acid specific protease-3 ( Caspase-3) and B-cell lymphoma-2 (Bcl-2) associated X protein ( Bax) (1.21±0.10, 1.40±0.13), the relative expression of cleaved Caspase-3 and Bax (1.00±0.13, 1.13±0.09), the levels of interleukin (IL)-6 and tumor necrosis factor (TNF)-α [(45.15±5.14, 38.34±5.69) pg/mg] in the mimic group were significantly lower than those in the mimic-NC group [2.10±0.14, 2.37±0.16, 2.29±0.09, 2.27±0.12, (95.67±9.05, 63.99±5.24) pg/mg] (all P<0.01). The relative expression level of Bcl-2 and Claspin (1.03±0.09, 1.00±0.04), the relative expression of Bcl-2 and Claspin (1.21±0.06, 0.94±0.09), the levels of superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) [(67.65±6.86, 58.07±5.20) U/mg] in the mimic group were significantly higher than those in the mimic-NC group [(0.51±0.05, 0.52±0.02, 0.58±0.05, 0.46±0.07, 42.08±5.86, 29.80±4.85) U/mg] ( P<0.05, 0.01). The relative expression level of Caspase-3 and Bax (2.72±0.16, 2.97±0.10), the relative expression of cleaved Caspase-3 and Bax (3.25±0.17, 2.76±0.16), the levels of IL-6 and TNF-α [(122.80±11.59, 92.58±7.56) pg/mg] in the inhibitor group were significantly higher than those in the inhibitor-NC group [(1.86±0.14, 2.12±0.10, 2.35±0.15, 1.82±0.15, (88.13±8.59, 68.61±6.17) pg/mg] ( P<0.05, 0.01). The relative expression levels of Bcl-2 and Claspin mRNA (0.17±0.04, 0.20±0.06), the relative expression of Bcl-2 and Claspin proteins (0.11±0.03, 0.13±0.05), the levels of SOD and GSH-Px [(16.62±3.19, 12.01±1.92) U/mg] in the inhibitor group were significantly lower than those in the inhibitor-NC group [0.54±0.05, 0.54±0.05, 0.53±0.10, 0.45±0.07, (38.09±5.47, 30.90±3.87) U/mg] ( P<0.05, 0.01). IRAK1 was identified as a putative target of miR-579-3p. The relative luciferase activity of wild-type IRAK1 in the mimic group (0.45±0.05) was significantly lower than that in the mimic-NC group (1.00±0.08) ( P<0.01). The relative expression levels of IRAK1, TRAF6, TAK1 and NF-κB mRNA in the mimic group (0.96±0.09, 0.96±0.11, 1.34±0.16, 1.74±0.20), the relative expression of IRAK1, TRAF6, TAK1, and phosphorylated NF-κB (p-NF-κB) proteins (0.96±0.20, 1.27±0.19, 1.34±0.18, 1.16±0.19) were all lower than those in the mimic-NC group (1.96±0.17, 1.88±0.24, 2.39±0.23, 2.44±0.20, 2.33±0.22, 2.17±0.24, 2.25±0.28, 2.06±0.28) (all P<0.01). The relative expression levels of IRAK1, TRAF6, TAK1 and NF-κB mRNA in the inhibitor group (2.54±0.15, 2.61±0.13, 2.97±0.15, 2.99±0.20), the relative expression of IRAK1, TRAF6, TAK1 and p-NF-κB proteins (3.73±0.34, 3.17±0.25, 3.68±0.22, 3.29±0.20) were all higher than those in the inhibitor-NC group (1.87±0.18, 1.84±0.19, 2.15±0.24, 2.24±0.26, 2.35±0.23, 1.94±0.25, 2.05±0.27, 2.17±0.29) (all P<0.01). The A value in the oeIRAK1 group (0.66±0.07) was significantly lower than that in the mimic group (0.94±0.10) ( P<0.05), and in the siIRAK1 group (0.51±0.08) was significantly higher than that in the inhibitor group (0.23±0.05) ( P<0.05). The apoptosis rate in the oeIRAK1 group [(23.32±2.40)%] was significantly higher than that in the mimic group [(9.02±1.23)%] ( P<0.05), and in the siIRAK1 group [(28.27±2.57)%] was significantly lower than that in the inhibitor group [(48.96±4.60)%] ( P<0.01). The levels of IL-6 and TNF-α in the oeIRAK1 group [(85.10±6.98, 59.49±5.78) pg/mg] were significantly higher than those in the mimic group [(47.51±8.87, 23.65±3.75) pg/mg], and the levels of SOD and GSH-Px [(49.58±5.63, 41.31±6.21) U/mg] were significantly lower than those in the mimic group [(81.22±6.94, 62.26±5.44) U/mg] ( P<0.05, 0.01). The levels of IL-6 and TNF-α in the siIRAK1 group [(108.25±9.47, 74.87±8.71) pg/mg] were significantly lower than those in the inhibitor group [(142.65±13.88, 104.49±9.18) pg/mg], and the levels of SOD and GSH-Px [(35.87±3.69, 34.89±4.96) U/mg] were significantly higher than those in the inhibitor group [(15.55±3.70, 15.62±3.30) U/mg] ( P<0.05, 0.01). The relative expression level of miR-579-3p in the HIE group (0.47±0.11) was significantly lower than that in the sham group (1.00±0.09) ( P<0.01). The levels of IL-6 and TNF-α in the HIE group [(62.18±6.42, 68.42±4.91) pg/mg] were significantly higher than those in the sham group [(20.77±4.68, 31.16±4.95) pg/mg], and the levels of SOD and GSH-Px [(22.63±3.33, 19.07±2.86) U/mg] were significantly lower than those in the sham group [(47.89±4.58, 56.55±4.45) U/mg] (all P<0.01). The relative levels of TLR4, IRAK1, TRAF6, TAK1, NF-κB, and Caspase-3 mRNA, TLR4, IRAK1, TRAF6, TAK1, p-NF-κB, and cleaved Caspase-3 proteins in the HIE group (1.87±0.24, 2.03±0.21, 2.23±0.20, 1.85±0.18, 1.91±0.20, 2.36±0.20, 2.36±0.28, 2.16±0.28, 1.95±0.27, 2.05±0.26, 2.34±0.24, and 2.72±0.23) were all higher than those in the sham group (1.00±0.15, 1.00±0.11, 1.00±0.09, 1.00±0.05, 1.00±0.12, 1.00±0.15, 1.00±0.15, 1.00±0.21, 1.00±0.10, 1.00±0.14, 1.00±0.19, 1.00±0.16) (all P<0.01), which were consistent with the immunohistochemical staining results. Conclusions:miR-579-3p might alleviate HIE-induced neuronal damage by regulating the IRAK1/TRAF6/TAK1/NF-κB signaling pathway.

Osteoarthritis （OA） and stroke are common clinical diseases that reduce patients' quality of life and place a burden on families and society. Ruyi Zhenbaowan， a classic prescription in Tibetan medicine， have the functions of clearing heat， awakening the brain and opening orifices， relaxing tendons and promoting meridian circulation， and eliminating yellow water. Clinically， they are used to treat osteoarthritis， post-stroke sequelae， neuropathic pain， and other related conditions. Modern pharmacological studies have demonstrated their anti-inflammatory， analgesic， and nerve-repairing effects. However， current research remains insufficient regarding the appropriate indications， timing， and efficacy of this medicine in treating relevant diseases. To enhance clinicians' understanding of this medicine and promote its standardized and rational clinical use， a panel of national experts， including clinical specialists， Tibetan medicine practitioners， pharmacologists， and methodologists， formulated this consensus based on clinical experience and evidence-based practice. The Cochrane systematic review framework， the Grading of Recommendations Assessment， Development and Evaluation （GRADE） system， and the nominal group method were employed to generate seven graded recommendations and 19 consensus-based suggestions. These recommendations clearly define the key points in the clinical application of Ruyi Zhenbaowan， including therapeutic indications， dosage and administration， treatment duration， and medication safety. The consensus specifically addresses the clinical efficacy， appropriate timing of administration， dosage strategies， treatment cycles， and combination medication strategies for treating osteoarthritis and stroke and provides an overview of safety considerations. The aim is to provide standardized guidance for hospitals and healthcare institutions nationwide to ensure the rational application of Ruyi Zhenbaowan in the treatment of osteoarthritis and stroke， reduce medication-related risks， and further leverage its clinical advantages. This consensus has been approved and issued by the China Association of Chinese Medicine， with the standard number GS/CACM 369-2024.