Chronic obstructive pulmonary disease（COPD）， characterized primarily by persistent airflow limitation and chronic airway inflammation， is a major chronic respiratory disease with persistently high morbidity and mortality. In recent years， macrophage pyroptosis， as an inflammatory form of programmed cell death， has been recognized as playing a key role in amplifying inflammatory responses and promoting tissue damage. According to traditional Chinese medicine（TCM） theory， spleen failing to disperse essence constitutes an important pathological basis for various chronic diseases， clinically manifesting as impaired transportation and transformation， internal generation of phlegm-dampness， and accumulation of turbid toxins. Based on a review of classical TCM pathogenesis and modern molecular biological research， this study proposes that there may be a correlation between spleen failing to disperse essence and macrophage pyroptosis in the pathogenesis of COPD. Specifically， metabolic and immune disturbances such as glucotoxicity， lipotoxicity， and enterotoxicity may trigger macrophage pyroptosis through the advanced glycation end products（AGEs）/AGEs receptor（RAGE）/reactive oxygen species（ROS）， fatty acids/Toll-like receptor 4（TLR4）， and lipopolysaccharide（LPS）/nuclear transcription factor-κB（NF-κB）/NOD-like receptor protein 3（NLRP3） signaling pathways. Excessive pyroptosis， in turn， exacerbates metabolic dysregulation and inflammatory responses， forming a vicious cycle. Furthermore， TCM interventions such as strengthening the spleen and tonifying Qi， as well as resolving dampness and detoxifying， have demonstrated potential in modulating pyroptosis-related signaling pathways， including NF-κB， the NLRP3 inflammasome， and autophagy. In summary， this article explores the role of spleen failing to disperse essence-macrophage pyroptosis mechanism in COPD and highlights possible therapeutic strategies of TCM， providing new insights for integrated Chinese and western medical research and clinical practice.

Objective: To explore the association between nap duration with anxiety and depressive symptoms among junior high school students, in order to provide evidence for mental health interventions for adolescents. Methods: From May to June 2022, a combination of convenience sampling and cluster sampling was used to select 2 491 students from 2 junior high schools in Haizhu District, Guangzhou City for questionnaire survey and physical examination. The questionnaire collected nap duration, night time sleep duration, bedtime, physical activity, and sedentary behavior. Anxiety and depressive symptoms were assessed using Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7), respectively. Log-binomial regression model was used to analyze the association of nap duration with anxiety and depressive symptoms, as well as comorbidity among junior high school students, and a restricted cubic spline (RCS) Log-binomial regression model was employed to analyze the non linear relationship after adjusting for covariates. Results: The detection rates of anxiety symptoms, depressive symptoms and comorbidity among junior high school students were 13.29%,14.65%,9.19%. After adjusting for covariates such as age, gender and nighttime sleep duration, compared with a school day nap duration of <30 min/d, a nap duration of 30-<60 min/d was associated with a reduced risk of anxiety symptoms ( APR =0.68, 95% CI =0.49-0.98) and comorbidity ( APR =0.56, 95% CI =0.39-0.87)(both P < 0.05 ). Compared with no napping on weekends, a nap duration of 30-<60 min/d was associated with a reduced risk of anxiety symptoms ( APR =0.62, 95% CI =0.41-0.88), depressive symptoms ( APR =0.52, 95% CI =0.34-0.75) and comorbidity ( APR = 0.52 , 95% CI =0.30-0.83)(all P <0.05). RCS curves showed a nonlinear relationship between weekend nap duration and the prevalence of anxiety, depressive symptoms and comorbidity among junior high school students(all P non linear <0.05); weekend nap duration of <120 min was associated with a lower risk of anxiety and depressive symptoms, and weekend nap duration of >180 min was associated with an increased risk. Conclusions Appropriate nap duration can help reduce the risk of anxiety, depressive symptoms, and the comorbidity among junior high school students. Adolescents should be guided to reasonably arrange nap duration for promoting physical and mental health.

OBJECTIVE To establish a hospital preparation cost item library， providing a reference for the refined accounting management of preparation costs in medical institutions. METHODS Based on literature analysis and practical work experience， a preliminary list of cost items was drafted. The Delphi method was employed to screen and optimize the items by analyzing the questionnaire recovery rate， expert authority coefficient， item importance score， coefficient of variation， and Kendall’s W of concordance. RESULTS The questionnaire recovery rates for the two rounds of expert consultation were 95.7% and 100%， respectively； the expert authority coefficients were 0.937 and 0.939， respectively； Kendall’s W of concordance were statistically significant （ P ＜0.001）. The finally established hospital preparation cost item library included 6 first-level items （such as raw material and packaging material costs， human resource costs， and production operation costs） and 29 second-level items （including main drug raw material costs， production personnel compensation， and finished product full-item testing costs）， comprehensively covering dimensions such as raw materials and packaging materials， fixed asset depreciation and equipment maintenance， human resources， production operations， energy and environment， and R & D and other costs. CONCLUSIONS This study successfully establishes a scientific and reliable cost item library for medical institution preparations， which can guide institutions to itemize actual expenditures， provide structured evidence for autonomous pricing， and support data needs for the formulation of insurance access and payment policies for innovative preparations.

Objective To quantitatively assess the exposure-response association between exposure to heatwave and sudden death, estimate the attributable excess deaths, and identify potential vulnerable subgroups. Methods A time-stratified case-crossover study was conducted among residents who died from sudden death in Jiangsu Province, China between 2015 and 2021. Heatwave events in Jiangsu Province, defined using varying relative temperature thresholds and durations, were identified using temperature data from the China Meteorological Administration Land Data Assimilation System (CLDAS V2.0). Individual heatwave exposure was assessed based on each subject's residential address. The exposure-response association between heatwave and sudden death was evaluated using conditional logistic regression model combined with a Distributed Lag Nonlinear Model(DLNM). Heatwave-attributable excess deaths were estimated. Stratified analyses by sex and age were performed to assess potential effect modifications. Results Under all definitions, exposure to heatwave was significantly associated with an increased risk of sudden death, and the risk increased with the intensity of heatwave. Using the P95_3d definition (temperature exceeding the 95th percentile for ≥3 consecutive days), heatwave was significantlyassociated with a 56% increased risk of sudden death (95% CI: 31%, 86%). The population-attributable fraction of sudden death due to heatwave exposure was 1.45% (95% CI: 0.97%, 1.90%). Stratified analyses indicated no statistically significant differences in the association between heatwave exposure and sudden death across age or sex subgroups. Conclusion Heatwave exposure was associated with an increased risk of sudden death. Reducing heatwave exposure during summer may help lower the occurrence of sudden death.

ObjectiveTo explore the potential mechanisms of action of the modified Duhuo Jisheng Mixture （JDJM） in treating synovial lesions in knee osteoarthritis （KOA）. MethodsA total of 43 male New Zealand white rabbits were randomly allocated into a blank group （n=8） and a model group （n=35）. The KOA model was induced by immobilizing the right hind limb with a high-molecular resin plaster bandage， with a modeling period of 6 weeks， resulting in successful modeling in 32 rabbits. These rabbits were then randomly allocated to the model group， celecoxib group， JDJM group and JDJM+740Y-P group， each consisting of 8 rabbits. The celecoxib group received celecoxib via gavage at a single dose of 0.009 3 g·kg^-1， while the JDJM was administered a single dose of 6.8 mL·kg^-1 （4.515 2 g·kg^-1） of the herbal preparation via gavage. The phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR） pathway activator + JDJM group received 4.515 2 g·kg^-1 of the herbal preparation via gavage along with an auricular vein injection of 0.15 μmol·kg^-1 740Y-P. For a period of 6 weeks， the remaining groups received an equal volume of physiological saline via gavage daily. After the medication period， the knee joint pain threshold and circumference were measured， and hematoxylin-eosin （HE） staining was performed to assess the pathological changes in the synovial tissues. Enzyme-linked immunosorbent assay （ELISA） measured the levels of interleukin-1β （IL-1β）， interleukin-6 （IL-18） and tumor necrosis factor-α （TNF-α） in the joint fluid. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to assess the mRNA expression of PI3K， Akt， mTOR， NOD-like receptor protein 3 （NLRP3）， cysteine-requiring aspartate protease-1 （Caspase-1） and gasdermin D （GSDMD） in the synovial tissues. Immunohistochemical （IHC） assay was performed to assess the protein expression of NLRP3， Caspase-1 and GSDMD. Western blot was carried out to analyze the protein expression of p-PI3K/PI3K， p-Akt/Akt， p-mTOR/mTOR， NLRP3， Caspase-1 and GSDMD. ResultsCompared to the blank group， the model group showed a significant increase in knee joint circumference and decrease in pain threshold， the synovial tissue pathology score was higher （P<0.05）， and the levels of IL-1β， IL-18， and TNF-α in the joint fluid significantly increased （P<0.01）. PI3K， Akt， mTOR phosphorylation as well as mRNA and protein expression increased （P<0.01）， while the mRNA and protein expression levels of NLRP3， Caspase-1 and GSDMD also significantly increased （P<0.01）. Compared to the model group， the celecoxib and JDJM groups exhibited a significant reduction in knee joint circumference and increase in pain threshold， the synovial tissue pathology score was lower （P<0.05）， and the levels of IL-1β， IL-18， and TNF-α in the joint fluid decreased （P<0.01）. The mRNA and protein expression of p-PI3K， p-Akt， p-mTOR， NLRP3， Caspase-1 and GSDMD were reduced （P<0.01）. Compared to the JDJM group， the JDJM+740Y-P group showed a decrease in the improvement of synovial lesions， an increase in knee joint circumference， and a decrease in pain threshold. The synovial tissue pathology score was lower （P<0.05）， and the levels of IL-1β， IL-18， and TNF-α in the joint fluid were higher （P<0.01）. The mRNA and protein expression of p-PI3K/PI3K， p-Akt/Akt， p-mTOR/mTOR， NLRP3， Caspase-1 and GSDMD increased （P<0.01）. ConclusionJDJM is effective in treating KOA. Its mechanism may involve modulating the PI3K/Akt/mTOR pathway in synovial tissues， inhibiting pyroptosis， reducing inflammatory factor release， and protecting bony structures.

ObjectiveThe development trend and knowledge structure of the research on human use experience （HUE） of traditional Chinese medicine （TCM） were systematically reviewed， and the core challenges and future directions were identified. This study aims to provide reference for the construction of a scientific and feasible research and development framework and evidence transformation system. MethodsLiterature related to "human use experience" published from January 1， 2019 to July 31， 2025 was retrieved from the China National Knowledge Infrastructure （CNKI）， Wanfang， China Science and Technology Journal Database （VIP）， and PubMed databases. Bibliometric visualization was conducted using Excel， VOSviewer， and CiteSpace， followed by in-depth reading and thematic summarization of core literature. ResultsA total of 181 papers were included for bibliometric analysis， with 45 articles used for in-depth thematic mining. The analysis showed that the number of publications on HUE research has increased in a stepwise manner over the past five years. Yang Zhongqi （24 times） was the core of the author network， the journal with the highest number of publications was China Journal of Chinese Materia Medica， the institutions publishing the most articles were mainly research institutions， regulatory agencies， hospitals， and universities， high-frequency keywords included "new TCM drugs"， "real-world studies"， and "clinical comprehensive evaluation"， keyword clustering analysis formed three major clusters： Policy orientation， application fields， and methodological approaches. Thematic analysis reveals that HUE-based evaluation should be integrated throughout the research and development process， encompassing three dimensions： TCM theory， clinical value， and pharmaceutical fundamentals， with toxic herbs and compatibility contraindications being key foci. Data collection primarily relies on empirical data， while real-world data constitute the primary source for clinical research， with efficacy and safety as the shared core. Data management emphasizes quality control and statistical analysis； however， the management of bias and confounding remains a critical bottleneck in evidence transformation. In practice， HUE-based approaches have successfully supported the registration and evaluation of multiple categories of new TCM drugs. ConclusionThe research on HUE of TCM has formed a policy-driven pattern characterized by， rapid development and close link with regulatory practice. A technical framework covering the whole chain of research and development has been constructed with clinical value as the core， which provides methodological basis and strategy reference for the scientific transformation of HUE of TCM from "experience" to "evidence".

ObjectiveGastrodia elata has evolved ecological types with shortened rhizome internodes and diversified flower and fruit coloration in response to different altitudes. Studying the genetic mechanisms of different ecotype germplasm is significant for guiding variety breeding in different cultivation areas. MethodsThe bHLH gene family was identified based on the whole-genome datasets of G. elata f. elata and G. elata f. glauca. Subsequently， the gene family members were subject to analysis， including gene structure， chromosomal localization， cis-acting elements， gene synteny， and phylogeny. Combined with transcriptome data and quantitative Real-time PCR， the expression patterns of bHLH genes in the stems of the different G. elata ecotype germplasm were analyzed. Finally， correlation analysis was conducted between gene expression patterns and color to obtain the key bHLH genes regulating the color formation of stem. ResultsA total of 63 bHLH genes were identified in both G elata f. elata and G. elata f. glauca， unevenly distributed across 17 chromosomes and clustered into 16 subfamilies， with significant expansion in some family members. Obvious inversions of bHLH genes on the same chromosome and interchromosomal translocations were detected in the two ecotype germplasm. Among these genes， 12 bHLH genes （such as bHLH62-3 and bHLH74） were associated with the bright yellow color of G elata f. elata stem， while 9 bHLH genes （such as PIL13， UNE12， and bHLH130） were correlated with the red color of G. elata f. glauca stem. Compared to G. elata f. glauca， the bHLH48 expression level was significantly higher in flowers and scale leaves of G elata f. elata， and the bHLH62-3 expression level was significantly higher in all organs of G elata f. elata. ConclusionsFunctional pathway divergence of the bHLH family members has occurred across different chromosomes in G elata f. elata and G. elata f. glauca. Through synergism or antagonism with other genes， 21 bHLH genes participate in the coloration metabolic pathway regulation of stems， flowers， and fruits. Specifically， bHLH62-3 is involved in regulating stem color differentiation in the anthocyanin biosynthesis pathway of G. elata， thus relevant to the color formation of stem. Additionally， GebHLH48 positively regulates flowering-related pathways to promote the early-flowering phenotype of G. elata f. elata. These findings have laid the foundation for analyzing the genetic regulatory mechanisms underlying the color formation of the G. elata stem.

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.

ObjectiveGastrodia elata has evolved ecological types with shortened rhizome internodes and diversified flower and fruit coloration in response to different altitudes. Studying the genetic mechanisms of different ecotype germplasm is significant for guiding variety breeding in different cultivation areas. MethodsThe bHLH gene family was identified based on the whole-genome datasets of G. elata f. elata and G. elata f. glauca. Subsequently， the gene family members were subject to analysis， including gene structure， chromosomal localization， cis-acting elements， gene synteny， and phylogeny. Combined with transcriptome data and quantitative Real-time PCR， the expression patterns of bHLH genes in the stems of the different G. elata ecotype germplasm were analyzed. Finally， correlation analysis was conducted between gene expression patterns and color to obtain the key bHLH genes regulating the color formation of stem. ResultsA total of 63 bHLH genes were identified in both G elata f. elata and G. elata f. glauca， unevenly distributed across 17 chromosomes and clustered into 16 subfamilies， with significant expansion in some family members. Obvious inversions of bHLH genes on the same chromosome and interchromosomal translocations were detected in the two ecotype germplasm. Among these genes， 12 bHLH genes （such as bHLH62-3 and bHLH74） were associated with the bright yellow color of G elata f. elata stem， while 9 bHLH genes （such as PIL13， UNE12， and bHLH130） were correlated with the red color of G. elata f. glauca stem. Compared to G. elata f. glauca， the bHLH48 expression level was significantly higher in flowers and scale leaves of G elata f. elata， and the bHLH62-3 expression level was significantly higher in all organs of G elata f. elata. ConclusionsFunctional pathway divergence of the bHLH family members has occurred across different chromosomes in G elata f. elata and G. elata f. glauca. Through synergism or antagonism with other genes， 21 bHLH genes participate in the coloration metabolic pathway regulation of stems， flowers， and fruits. Specifically， bHLH62-3 is involved in regulating stem color differentiation in the anthocyanin biosynthesis pathway of G. elata， thus relevant to the color formation of stem. Additionally， GebHLH48 positively regulates flowering-related pathways to promote the early-flowering phenotype of G. elata f. elata. These findings have laid the foundation for analyzing the genetic regulatory mechanisms underlying the color formation of the G. elata stem.

Objective To develop a predictive model for postoperative pulmonary complications (PPC) following video-assisted thoracic surgery (VATS) in lung cancer patients by integrating cardiopulmonary exercise testing (CPET) parameters and machine learning techniques. Methods A retrospective analysis was conducted on patients with early-stage non-small cell lung cancer who underwent CPET and VATS at Guangdong Provincial People’s Hospital between October 2021 and July 2023. Patients were divided into a PPC group and a non-PPC group. The least absolute shrinkage and selection operator (LASSO) regression was used to select important features associated with PPC. Six machine learning algorithms were utilized to construct prediction models, including logistic regression, support vector machine, k-nearest neighbors, random forest, gradient boosting machine, and extreme gradient boosting. The optimal model was interpreted using SHapley Additive exPlanations (SHAP). Results A total of 325 patients were included, with an average age of 60.36 years, and 55.1% were male. Significant differences were observed between the PPC and non-PPC groups in age, diabetes, coronary heart disease, surgical approach, forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), FVC% predicted, peak oxygen uptake (peak VO2), anaerobic threshold (AT), and ventilatory equivalent for carbon dioxide slope (VE/VCO2 slope) (P<0.05). In the predictive model constructed by selecting 7 key features using LASSO regression, the random forest model demonstrated the best overall performance across various metrics, with an area under the receiver operating curve of 0.930, an F1 score of 0.836, and a Brier score of 0.133 in the training set. It also exhibited good predictive ability and calibration in the test set. SHAP analysis ranked feature importance as follows: peak VO2, VE/VCO2 slope, age, FEV1, smoking history, diabetes, and surgical approach. Conclusion Integrating CPET parameters, the random forest model can effectively identify high-risk patients for PPC and has the potential for clinical application.