BACKGROUND:Macrophages play a key role in the occurrence and progression of lung diseases,and autophagy plays an important role in maintaining environmental homeostasis and functional stability in macrophages.It has been suggested that macrophage autophagic activity has two sides in lung inflammatory diseases.OBJECTIVE:To summarize the relationship between macrophage autophagy and lung diseases,thereby providing reference for exploring the prevention and treatment strategies of lung inflammatory diseases by targeting macrophage autophagy.METHODS:Literature retrieval was performed in CNKI and PubMed for relevant literature published from database inception to September 2024.The search terms were"macrophage autophagy,efferocytosis,macrophage polarization,acute lung injury,pneumonia,chronic obstructive pulmonary disease,pulmonary fibrosis,asthma"in Chinese and English,respectively.The search results were included or excluded based on the selection criteria,and 100 papers that met the criteria were finally included in the review.RESULTS AND CONCLUSION:(1)The obstruction of autophagy flow will induce the polarization imbalance of macrophages and impair their efferocytosis,resulting in the increase of M1 macrophages and aggravating inflammation.(2)The judgment of autophagic activity should be based on whether the autophagy flow is smooth or not,and it is essential to evaluate the degradation ability of autophagy.Some studies failed to comprehensively detect the degradation ability of autophagy lysosomes to assess whether the autophagy flow is unobtrusive.As a result,the so-called two-sided view of pulmonary macrophage autophagy in pulmonary inflammatory diseases in such studies is actually related to the one-sided judgment of autophagy activity.(3)The pathological manifestations vary across different pulmonary diseases and even at different stages of the same disease.Activation of macrophage autophagy plays a positive role in regulating pulmonary inflammatory homeostasis in conditions such as acute lung injury,infectious pneumonia,mild chronic obstructive pulmonary disease,early-stage pulmonary fibrosis,and secondary asthma.However,in the severe fibrotic stage of chronic obstructive pulmonary disease and the progressive stage of pulmonary fibrosis,the activation of pulmonary macrophage autophagy aggravates pulmonary fibrosis,reflecting the dual nature of macrophage autophagy.In allergic asthma,autophagy is activated in lung-resident macrophages but suppressed in infiltrating monocyte-derived macrophages from circulation.The former is closely related to airway stenosis,and the latter aggravates pneumonia disorders.Therefore,identifying the types and progression stages of lung diseases,along with accurately assessing autophagic activity,is crucial for future investigations into the relationship between macrophage autophagy and disease pathogenesis,thereby facilitating the development of therapeutic strategies in the future.

BACKGROUND:Macrophages play a key role in the occurrence and progression of lung diseases,and autophagy plays an important role in maintaining environmental homeostasis and functional stability in macrophages.It has been suggested that macrophage autophagic activity has two sides in lung inflammatory diseases.OBJECTIVE:To summarize the relationship between macrophage autophagy and lung diseases,thereby providing reference for exploring the prevention and treatment strategies of lung inflammatory diseases by targeting macrophage autophagy.METHODS:Literature retrieval was performed in CNKI and PubMed for relevant literature published from database inception to September 2024.The search terms were"macrophage autophagy,efferocytosis,macrophage polarization,acute lung injury,pneumonia,chronic obstructive pulmonary disease,pulmonary fibrosis,asthma"in Chinese and English,respectively.The search results were included or excluded based on the selection criteria,and 100 papers that met the criteria were finally included in the review.RESULTS AND CONCLUSION:(1)The obstruction of autophagy flow will induce the polarization imbalance of macrophages and impair their efferocytosis,resulting in the increase of M1 macrophages and aggravating inflammation.(2)The judgment of autophagic activity should be based on whether the autophagy flow is smooth or not,and it is essential to evaluate the degradation ability of autophagy.Some studies failed to comprehensively detect the degradation ability of autophagy lysosomes to assess whether the autophagy flow is unobtrusive.As a result,the so-called two-sided view of pulmonary macrophage autophagy in pulmonary inflammatory diseases in such studies is actually related to the one-sided judgment of autophagy activity.(3)The pathological manifestations vary across different pulmonary diseases and even at different stages of the same disease.Activation of macrophage autophagy plays a positive role in regulating pulmonary inflammatory homeostasis in conditions such as acute lung injury,infectious pneumonia,mild chronic obstructive pulmonary disease,early-stage pulmonary fibrosis,and secondary asthma.However,in the severe fibrotic stage of chronic obstructive pulmonary disease and the progressive stage of pulmonary fibrosis,the activation of pulmonary macrophage autophagy aggravates pulmonary fibrosis,reflecting the dual nature of macrophage autophagy.In allergic asthma,autophagy is activated in lung-resident macrophages but suppressed in infiltrating monocyte-derived macrophages from circulation.The former is closely related to airway stenosis,and the latter aggravates pneumonia disorders.Therefore,identifying the types and progression stages of lung diseases,along with accurately assessing autophagic activity,is crucial for future investigations into the relationship between macrophage autophagy and disease pathogenesis,thereby facilitating the development of therapeutic strategies in the future.

Objective:To investigate the differences in protein profile expression in serum samples from children with corona virus disease 2019（COVID-19）related encephalopathy and to explore the underlying mechanisms.Methods:From December 1,2022 to January 31,2023,28 children with COVID-19 who were admitted to the Department of Pediatric Intensive Medicine at Shandong Provincial Hospital Affiliated to Shandong First Medical University were collected,including 21 patients with encephalopathy(COVID-19 with encephalopathy group) and seven patients without encephalopathy(COVID-19 without encephalopathy group).Three children from each group were selected for serum proteomic analysis using tandem mass spectrometry labeling proteomics technology.Proteins were considered significantly different if the fold change was >1.2 or <0.8，with P<0.05.Bioinformatics analysis，including Gene Ontology and Kyoto Encyclopedia of Genes and Genomes Pathway Enrichment were performed on differentially expressed proteins.Protein-protein interaction networks were analyzed using the STRING database.Selected proteins were further validated by enzyme-linked immunosorbert assay. Results:A total of 41 differentially expressed proteins were identified between the two groups.Among these，14 proteins were upregulated and 27 proteins were downregulated in COVID-19 patients with encephalopathy compared to those without encephalopathy.Bioinformatics analysis revealed that these proteins were primarily enriched in critical signaling pathways，including complement and coagulation regulation，neutrophil degranulation and activation，and platelet degranulation.Enzyme-linked immunosorbert assay validation confirmed significant differences in key coagulation-regulating proteins(von willebrand factor upregulated，serpin family F member 2 downregulated in COVID-19 patients with encephalopatly）between the two groups.Conclusion:Coagulation dysfunction may play a role in the development of COVID-19 associated encephalopathy in children，providing valuable insights for future research.

Sarcopenia is a systemic disease characterized by accelerated loss of skeletal muscle mass and function,leading to an increased incidence of adverse outcomes such as falls and fractures.Sarcopenia is classified into primary and secondary types,with primary sarcopenia being closely related to aging and posing a serious threat to a healthy life among the elderly.Sarcopenia has an insidious onset and is often overlooked in terms of its clinical treatment.Its pathogenesis is complex,involving functional changes and pathological alterations in multiple systems,and presenting major research challenges.Cell models can effectively be used to simulate the pathological changes of diseases under controllable conditions,thus facilitating the investigation of the etiology and factors influencing sarcopenia,and providing an important approach for in-depth studies of its mechanism;however,there is currently no standardized cell model in the field of sarcopenia research.Commonly used cell models currently include models involving protein metabolism interventions,oxidative stress,and inflammatory response interventions.This review considers the commonly used skeletal muscle cell types and modeling method of sarcopenia,to provide a solid foundation and important method ological reference for further simulation of the pathological process of sarcopenia in subsequent experimental studies.

Objective To establish a gas chromatography-mass spectrometry (GC-MS) method for the simultaneous determination of four carbonate compounds (CCs), including ethyl methyl carbonate (EMC), diethyl carbonate (DEC), vinylene carbonate (VC), and ethylene carbonate (EC) in workplace air. Methods Vapor-phase EMC, DEC, VC, and EC in workplace air were collected using activated carbon tubes. After desorption with dichloromethane, the samples were analyzed by GC-MS. Qualitative identification was performed based on retention times and characteristic ions, while quantitative analysis was conducted using peak areas of selected characteristic ions. Results The quantitative determination ranges for the four CCs were from 0.57×10⁻³ to 200.00 mg/L, with correlation coefficients ≥0.999 45. The detection limit ranged from 0.17 to 1.60 μg/L, and the lower limit of quantification ranged from 0.57 to 5.33 μg/L. The minimum detection concentration and minimum quantitation concentration were 0.11-1.07 and 0.38-3.55 μg/m³, respectively. Mean spiked recoveries ranged from 85.70% to 111.65%. The intra- and inter-batch relative standard deviations were 0.11%-2.04% and 1.27%-5.18%, respectively. Mean desorption efficiencies of the method ranged from 74.70% to 118.20%. EMC, DEC, and EC samples were stable for up to five days at 4 °C, while VC samples were stable for up to three days at 4 °C. Conclusion The GC-MS method is suitable for the simultaneous determination of the four CCs including EMC, DEC, VC, and EC in workplace air.

Objective To construct a hybrid decision-making model that integrates knowledge-driven and data-driven approaches,and to apply it to the etiological diagnosis of ventricular tachycardia(VT).Methods Clinical practice guidelines,expert consensus documents,and medical literature in the field of ar-rhythmia diseases from 2018 to 2023 were retrieved as knowledge sources.Retrospective electronic medical re-cord data of VT patients from Fuwai Hospital,Chinese Academy of Medical Sciences & Peking Union Medical College,from 2013 to 2023 were collected as the dataset.A knowledge-driven model was constructed using a knowledge-rule-based approach to establish clinical pathways.A three-class machine learning model for VT eti-ology diagnosis was developed based on real-world data,and the best-performing model was selected as the rep-resentative of the data-driven approach.The machine learning model was embedded into the decision nodes of the clinical pathway in the form of custom operators,forming the hybrid model.The precision,recall,and F1 score of the three models were evaluated.Results Three clinical practice guidelines were included as knowl-edge sources for the knowledge-driven model.A total of 1305 patient records were collected as the dataset,and five machine learning models were constructed,with the XGBoost model performing the best.The hybrid model adopted a knowledge-driven decision-making framework,embedding the XGBoost model into the decision nodes of a two-level classification.The precision,recall,and F1 scores of the three models were as follows:the knowledge-driven model achieved 80.4％,79.1％,and 79.7％;the data-driven model achieved 88.4％,88.5％,and 88.4％;and the hybrid model achieved 90.4％,90.2％,and 90.3％.Conclusions The hybrid model integrating knowledge-driven and data-driven approaches demonstrated higher accuracy,and all its deci-sion outcomes were based on evidence-based practices,aligning more closely with the actual diagnostic reason-ing of clinicians.Further rigorous validation is needed to assess the feasibility of widely applying the hybrid model in the medical field.

Objective:To investigate the effect of bed board of carbon fiber for treatment combined with fixed bottom board on verification results of Portal Dosimetry(PD)dose of intensity-modulated radiation therapy(IMRT)plan of fixed field for cervical cancer.Methods:A total of 15 patients with cervical cancer who admitted to Nanjing First Hospital from January 2019 to January 2020 were retrospectively selected,and the IMRT plans of fixed field for all patients were designed.The radiation field with 180° gantry angle was selected for each case to make the corresponding PD dose verification plan,and each verification plan included two subfields:AA180_0 and AA180_1.Three types of materials were placed between the accelerator head and the electronic portal imaging device(EPID),which included material without carbon fiber,bed board with carbon fiber for treatment,and the combination of the bed board with carbon fiber for treatment and the fixed bottom board with carbon fiber,when the Clinac iX accelerator was used to conduct verification plan for each case.The γ passing rates of the subfields(AA180_0 and AA180_1)and the total field(AA180)among three kinds of conditions,which included material without carbon fiber,bed board with carbon fiber for treatment,and the combination of the bed board with carbon fiber for treatment and the fixed bottom board with carbon fiber,were compared and analyzed.Results:For the subfield AA180_0,the γ passing rates under three different material conditions were respectively(96.09±1.38)%,(90.48±2.24)%and(81.85±2.46)%.For the subfield AA180_1,the γ passing rates under the above conditions were respectively(96.05±1.06)%,(91.86±2.22)%and(86.26±2.74)%.For the total field AA180,the γ passing rates were respectively(90.78±1.40)%,(84.82±2.56)%and(78.49±3.18)%.The γ passing rates of the subfield AA180_0,subfield AA180_1,and the total field AA180 showed statistically significant differences among the three different material conditions(F=177.80,80.00,91.42,P<0.01).Compared with materials without carbon fiber,the γ passing rate of the total field AA180 of the combination of the bed board with carbon fiber for treatment and the fixed bottom board with carbon fiber significantly decreased by 12.29%.Conclusion:In the PD dose verification of IMRT for cervical cancer,the bed board with carbon fiber for treatment combined with the fixed bottom board will produce adverse effect for the verification results.The effect of the single use of bed board for treatment is relatively small.The combined use of the bed board with carbon fiber for treatment and the fixed bottom board will lead to a significant deterioration in the verification result of PD dose.

Objective To observe the value of dynamic attention aggregation network(DAANet)for automatic segmentation of anomalous origin of the left coronary artery from the pulmonary artery(ALCAPA)in CT angiography(CTA).Methods CTA data in 30 patients with ALCAPA syndrome were retrospectively enrolled.ALCAPA were segmented in CTA with DAANet based on residual edge feature(REF),pyramid dynamic attention(PDA)and dynamic global feature aggregation(DGFA)modules.Taken physician manual segmentation results as references,the results were compared with those of other networks.Results Compared with other networks,DAANet had better value for automatic segmentation of ALCAPA in CTA,which could show the details of irregular margins of left coronary artery with good continuity and high clarity,and the performance parameters were overall better.Conclusion DAANet had better performance for automatic segmentation of ALCAPA in CTA.

Objective To explore the optimisation path of medical resource allocation efficiency improvement in Traditional Chinese Medicine (TCM) hospitals under the synergistic effect of multiple factors,so as to provide powerful support for the balanced development of medical resources in TCM hospitals.Methods The comprehensive efficiency of resource allocation in TCM hospitals in 31 provinces (cities and districts) of China obtained by Data Envelopment Analysis was taken as the outcome variable,and with the help of Fuzzy-set Qualitative Comparative Analysis,it examined the configurations of efficient medical resource allocation,considering the following conditional variables:per capital Regional GDP,the proportion of fiscal allocation revenue to total income,the ratio of TCM practicing (assistant) physicians to all practicing (assistant) physicians,the average length of hospital stay for discharged patients,the number of total diagnosis and treatments per thousand population,and the number of hospital beds per thousand population.Results By analyzing the conditional patterns of efficient allocation of medical resources in TCM hospitals,three equivalent driving paths can be summarized,which are comprehensive service capacity,TCM advantage and hospitalization driving paths.Conclusion The overall level of medical resource allocation efficiency of TCM hospitals in China needs to be improved.In the future,efforts should be made to improve the comprehensive service capacity and operational efficiency of hospitals,give full play to the advantages of TCM,build a high-quality TCM talent team,reasonably shorten the average hospital stay,and improve the utilization efficiency of hospital beds.

Objective To investigate the dynamic changes in pulmonary function after allogeneic hematopoietic stem cell transplantation(HSCT)in children and compare pulmonary function differences between children with benign and malignant hematological diseases.Methods A total of 233 children who underwent allogeneic HSCT in the First Affiliated Hospital of Shandong First Medical University,Shandong Provincial Qianfoshan Hospital from June 2015 to December 2023 were selected as subjects,according to the original disease,children were divided into benign group(n=142)and malignant group(n=91).Pulmonary function examination data were collected pre-transplant and at 3,6,9,12,18 and 24 months post-transplant,dynamic trajectories of pulmonary function parameters were analyzed.Results Forced expiratory volume in one second(FEV1)recovered after reaching its lowest in benign group in 6th month post-transplantation,while in malignant group in 9th month(P＜0.001).FEV1/forced vital capacity(FVC)reached its lowest value in 18th month and then recovered(P＜0.001).FEV1,FEV1/FVC,total lung capacity(TLC)and carbon monoxide diffusing capacity(DLCO)were significantly lower in malignant group than those in benign group at most time points(P＜0.05).Reduced DLCO was most common abnormality.Kaplan-Meier analysis showed that those with negative slopes of FEV1,FEV1/FVC,and FVC changes in first 3 months post-transplantation were more likely develop to restrictive ventilatory disorder,and those with negative FEV1/FVC slopes had a significantly higher risk of obstructive ventilatory disorder(P＜0.05).Conlusion Pulmonary dysfunction is prevalent in children after allogeneic HSCT.Pulmonary function parameters of children in malignant group were significantly lower than those in benign group and children recovery was slower.Patients with negative slopes of pulmonary function changes in the first 3 months after post-transplantation are more likely develop to pulmonary dysfunction.