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.

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.

OBJECTIVE To construct and validate a prognostic prediction model for first-line immune checkpoint inhibitors （ICIs） therapy for advanced non-small cell lung cancer （NSCLC）.METHODS The clinicopathological data and peripheral blood parameters from 211 patients with advanced NSCLC who received first-line ICIs therapy at our hospital from January 2020 to December 2023 were retrospective collected. The patients were randomly divided into a training set （151 cases） and a validation set（60 cases） at a ratio of 7∶3. Using progression-free survival （PFS） as the outcome measure， LASSO regression was used to preliminarily screen predictive variables in the training set，and the preliminarily screened predictive variables were entered into a multivariable Cox regression model to construct Model 1. Meanwhile，restricted cubic splinec analysis was performed on the continuous variables preliminarily screened by LASSO regression. The variables with nonlinear relationships （ P ＜0.1） were analyzed by multivariable Cox regression in RCS form to construct Model 2. The concordance index，receiver operating characteristic curves，calibration curves，and decision curve analysis were used to compare the predictive performance of the two models； the optimal model was selected to construct a nomogram.Sensitivity analysis was performed by reconstructing the multivariable Cox regression model after excluding cases with unknown programmed death-ligand 1（PD-L1）status. Kaplan-Meier method was used to plot survival curves to analyze the survival differences among patients with different risk strata.RESULTS The variables used to construct Model 1 were sex， smoking history， PD-L1 expression status， bone metastasis， and carcinoembryonic antigen （CEA）；the variables used to construct Model 2 were sex， smoking history， PD-L1 expression status， bone metastasis， CEA， neutrophil（Neu）， and albumin（ALB）. The concordance indices of Model 2 were 0.710 in the training set and 0.672 in the validation set，both superior to those of Model 1 （0.649，0.634）. The areas under the curve （AUC） of Model 2 for 12， 18， and 24 months PFS were 0.737，0.782 and 0.788 in the training set，and 0.709，0.630 and 0.663 in the validation set，respectively，all outperforming Model 1 （0.653， 0.704， 0.697 in the training set；0.688， 0.605， 0.651 in the validation set）.The calibration curves of both models showed good consistency between the predicted probability and actual probability，and the clinical net benefit of Model 2 was higher than that of Model 1. Sensitivity analysis indicated that the prediction model was robust. The median PFS of patients in the low-risk group was significantly longer than that in the high-risk group（ P ＜0.05）.CONCLUSIONS Sex， smoking history， PD-L1 expression status， bone metastasis， Neu， ALB， and CEA were independent influencing factors for PFS in advanced NSCLC patients receiving first-line ICIs. The prediction model constructed based on the above factors has good predictive performance and can be used to predict the prognosis of advanced NSCLC patients.

The compilation explanation for the Expert Consensus on Clinical Application of Ruyi Zhenbao pills systematically expounds the formulation methods and evidence-based basis of this consensus. In response to the weak clinical application evidence and ambiguous indications of Ruyi Zhenbao pills， the Institute of Basic Research in Clinical Medicine of China Academy of Chinese Medical Sciences， Wangjing Hospital of China Academy of Chinese Medical Sciences， and Dongzhimen Hospital of Beijing University of Chinese Medicine invited 39 experts from 31 medical institutions across China to complete the compilation through multi-disciplinary collaboration. The compilation strictly adheres to the World Health Organization （WHO） guidelines for guideline development and the GRADE evidence grading system. The work process covered the construction of clinical questions （a total of 30 clinical questions were determined based on expert voting results）， evidence retrieval （covering Chinese and English databases and gray literature）， safety assessment （integrating drug monitoring data and clinical research）， and the formation of recommendation opinions and consensus suggestions （18 recommendation opinions were reached through the GRADE grid method， and 22 consensus suggestions were reached through majority voting rules）. The results show that the consensus clearly states that this medicine is suitable for knee osteoarthritis， gouty arthritis， rheumatoid arthritis， neuropathic pain， and sequelae of stroke. In terms of safety， the adverse reactions are mainly gastrointestinal reactions such as nausea， vomiting， and abdominal pain. Pregnant women and those allergic to the ingredients of this medicine are contraindicated. The compilation process underwent three rounds of expert reviews and adopted methods such as nominal group technique and Delphi method to ensure the rigor of the consensus compilation process. It provides a paradigm for the formulation of expert consensus on clinical application of Tibetan medicine through the academic promotion and dynamic revision.

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.

Objective: To analyze the epidemilogical and seasonal characteristics of foodborne Salmonella-associated diarrhea among children aged 0-6 years in Guizhou Province from 2016 to 2023, so as to provide a basis for the prevention and control of foodborne diseases. Methods: Data were extracted from the Foodborne Disease Survellance System for cases reported between January 1, 2016, and December 31, 2023. The incidence, seasonal characteristics, and peak periods were analyzed by the method of concentration and circular distribution. Results: A total of 6 434 cases of diarrhea in children aged 0-6 years were collected, and 455 cases of Salmonella were detected, with a positive detection rate of 7.07%. Salmonella typhimurium was the main serotype causing diarrhea (59.34%). The peak of the disease was from May 3 to September 30, with certain seasonal characteristics. The highest detection rate was found in children aged 1-3 years (8.66%). Among food types, the positive detection rates of Salmonella were relatively high in other foods (17.39%), fruits and their products (10.22%), infant and toddler foods (10.09%), and aquatic animals and their products (9.80%). The processing and packaging methods of food were mainly home-made (9.38%) and bulk food (7.54%). Conclusions The detection rate of Salmonella in children aged 0-6 years is high in Guizhou Province, with strong seasonal characteristics. The detection rates of other foods, fruits and their products, infant and toddler foods, and aquatic animals and their products are high. Enhanced pathogen surveillance for susceptible populations and high-risk foods, coupled with public health education during summer/autumn, is recommended.

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.

Objective:To investigate the current status of clinical leadership among Interventional Operating Room nurses in Shandong Province and to analyze its influencing factors.Methods:In December 2024, 220 Interventional Operating Room nurses from 46 ClassⅢ Grade A general hospitals in Shandong Province were selected for a cross-sectional survey using convenience sampling. General Information Questionnaire, Clinical Leadership Survey, Chinese version of Wong and Law Emotional Intelligence Scale (WLEIS-C) , and Jefferson Scale of Empathy-Health Professionals (JSE-HP) were used as survey instruments. Multiple linear regression was used to analyze the factors influencing clinical leadership among Interventional Operating Room nurses. Pearson correlation analysis was used to explore the relationship between emotional intelligence, empathy, and clinical leadership.Results:A total of 220 questionnaires were distributed and 204 valid questionnaires were recovered, with a valid recovery rate of 92.73% (204/220) . The clinical leadership scores of the 204 Interventional Operating Room nurses were (66.35±8.74) , and the dimensions scored, in descending order, as encouraging the heart, enabling others to act, modeling the way, inspiring a shared vision, and challenging the process. The mean scores of WLEIS-C and JSE-HP items were (5.88±0.90) and (4.61±0.63) , respectively. Multiple linear regression analysis showed that the nature of employment and whether or not they participated in leadership training were influencing factors for clinical leadership among Interventional Operating Room nurses (partial regression coefficients of -2.831 and -2.999, respectively; P<0.05) . Emotional intelligence and empathy ability among Interventional Operating Room nurses were positively correlated with clinical leadership ( P<0.05) . Conclusions:Clinical leadership of nurses in the Interventional Operating Room of ClassⅢ Grade A general hospitals in Shandong Province is at a moderate to high level. Nurses who participate in leadership training, have staffing, have greater empathy, and have higher emotional intelligence have greater clinical leadership. It is recommended that nursing administrators add leadership-related courses to the training of nurses in the Interventional Operating Room, and take steps to improve nurses' emotional intelligence and empathy ability, thereby promoting clinical leadership among Interventional Operating Room nurses.

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.