Chronic obstructive pulmonary disease （COPD）， as one of the three major causes of death， is a complex systemic disease with high prevalence， high mortality， high disability， frequent acute exacerbations， and a variety of pulmonary complications. The pathogenesis is complex. Western medicine has no effective specificity scheme for a complete cure. However， multiple-component and multiple-target characteristics of traditional Chinese medicine （TCM） demonstrate significant advantages in COPD treatment through multi-link， multi-pathway， and multi-mechanism intervention. Therefore， exploring the essence of COPD pathogenesis and discovering effective TCM treatment drugs through the application of TCM principles and prescriptions is a key focus of modern research. Animal models are of paramount importance in medical research. It is the first consideration to select appropriate animals， adopt reasonable modeling methods to replicate stable animal models that closely resemble the clinical manifestations and pathophysiological characteristics of COPD， and use appropriate evaluation methods to determine the success of COPD animal models in experimental research. The core of experimental research lies in observing the intervention effect of TCM on COPD animal models， exploring the specific pathways and regulatory mechanisms of TCM on COPD disease， and finding TCM monomers， single herbs， and TCM formulas with definite curative effects. At present， animal model research on COPD mainly involves model establishment， model evaluation， efficacy observation， mechanism exploration， and other aspects. In recent years， there has been no systematic organization， update， and reflection on the relevant research on TCM intervention in COPD animal models. This study reviewed the selection of animals for the COPD model， methods for establishing COPD animal models， model evaluation methods， and the intervention effects of TCM on COPD animal models. It aims to grasp the current research status and identify existing problems for further improvement， in order to provide evidence and support for scientific research and clinical treatment of COPD.

Chronic obstructive pulmonary disease （COPD）， as one of the three major causes of death， is a complex systemic disease with high prevalence， high mortality， high disability， frequent acute exacerbations， and a variety of pulmonary complications. The pathogenesis is complex. Western medicine has no effective specificity scheme for a complete cure. However， multiple-component and multiple-target characteristics of traditional Chinese medicine （TCM） demonstrate significant advantages in COPD treatment through multi-link， multi-pathway， and multi-mechanism intervention. Therefore， exploring the essence of COPD pathogenesis and discovering effective TCM treatment drugs through the application of TCM principles and prescriptions is a key focus of modern research. Animal models are of paramount importance in medical research. It is the first consideration to select appropriate animals， adopt reasonable modeling methods to replicate stable animal models that closely resemble the clinical manifestations and pathophysiological characteristics of COPD， and use appropriate evaluation methods to determine the success of COPD animal models in experimental research. The core of experimental research lies in observing the intervention effect of TCM on COPD animal models， exploring the specific pathways and regulatory mechanisms of TCM on COPD disease， and finding TCM monomers， single herbs， and TCM formulas with definite curative effects. At present， animal model research on COPD mainly involves model establishment， model evaluation， efficacy observation， mechanism exploration， and other aspects. In recent years， there has been no systematic organization， update， and reflection on the relevant research on TCM intervention in COPD animal models. This study reviewed the selection of animals for the COPD model， methods for establishing COPD animal models， model evaluation methods， and the intervention effects of TCM on COPD animal models. It aims to grasp the current research status and identify existing problems for further improvement， in order to provide evidence and support for scientific research and clinical treatment of COPD.

Lung cancer is the malignant tumor with the highest morbidity and mortality worldwide. The number of cases and deaths in China also remains at a high level， posing a severe threat to human health. In recent years， although early diagnostic and therapeutic strategies for lung cancer have been continuously optimized， with clinical interventions mainly consisting of surgery， radiotherapy， chemotherapy， targeted therapy， and immunotherapy， the patient prognosis remains unsatisfactory. The core reason is that the mechanisms underlying lung cancer development and progression have not yet been fully elucidated. Therefore， delving into the molecular mechanisms and key regulatory nodes is of great significance for improving diagnostic and therapeutic outcomes. In recent years， traditional Chinese medicine （TCM） and its active components have demonstrated unique advantages and potential in the prevention and treatment of lung cancer through epigenetic regulation. Studies have confirmed that single herbs， compound formulas， and active components of TCM can exert anti-tumor effects by modulating epigenetic pathways such as DNA methylation， histone modification， and non-coding RNAs. These effects include inhibiting tumor cell proliferation， inducing apoptosis， reducing invasive and metastatic capacity， regulating the cell cycle， and modulating the tumor microenvironment， thereby blocking the initiation and progression of lung cancer. Furthermore， TCM shows significant advantages in enhancing the anti-tumor efficacy of chemotherapeutic agents and alleviating treatment-related adverse effects. However， the current research on TCM-based epigenetic regulation of lung cancer remains at a preliminary exploratory stage. Common limitations include the complexity of targets， a predominant focus on crude herbal extracts or single epigenetic modifications， and a lack of systematic elucidation of the synergistic effects among multiple epigenetic modifications and the regulatory networks involving multicellular interactions. This article reviews the epigenetic mechanisms involved in the development and progression of lung cancer and summarizes the basic and clinical research progress in TCM interventions， aiming to offer insights for further elucidating lung cancer pathogenesis and exploring TCM-based therapeutic strategies.

Objective To investigate the mechanism of modified Guizhi Fuling Pills in treating diabetic kidney disease(DKD)through autophagy regulation based on network pharmacology and experimental validation.Methods Active components and action targets of modified Guizhi Fuling Pills were screened via the TCMSP database.DKD-related autophagy targets were obtained from GeneCards,TTD,DrugBank and PharmGKB.A protein-protein interaction network was constructed using STRING,followed by GO functional and KEGG pathway enrichment analyses via DAVID.Molecular docking of key components and core targets was performed using AutoDock Tools 1.5.7.DKD model rats were prepared.The rats were randomly divided into normal group,model group,valsartan group(50 mg/kg),and modified Guizhi Fuling Pills low-,medium-and high-dosage group(9.9,19.8 and 39.6 g/kg).After 8-week interventions,body mass and water intake were recorded;fasting blood glucose,24 h urinary total protein(24 hUTP),urinary albumin-to-creatinine ratio(UACR)were monitored.Renal histopathology was evaluated via HE and Masson staining.Western blot was used to detect protein expressions of AMPK/FOXO1 pathway(p-AMPK,AMPK,FOXO1)and autophagy markers(Beclin-1,p62),while quantitative real-time PCR was used to assess AMPK and FOXO1 mRNA expressions.Results A total of 146 active components of Guizhi Fuling Pills and 33 main targets for treating DKD were screened,with the core targets including FOXO1,BCL2,TP53 and PTEN.KEGG pathway enrichment analysis suggested that AMPK/FOXO1 signaling pathway,AGE-RAGE and insulin signaling pathways may play a core regulatory role.Guizhi Fuling Pills could significantly reduce the body mass of DKD rats,reduce water intake,decrease renal index,decrease fasting blood glucose,24 hUTP and UACR(P<0.05,P<0.01),improve renal tissue pathology,increase AMPK,FOXO1,Beclin-1 protein expressions and AMPK,FOXO1 mRNA expressions(P<0.05),and reduce p62 protein expression(P<0.05).Conclusion Modified Guizhi Fuling Pills may exert therapeutic effects on DKD by regulating the AMPK-FOXO1-autophagy axis.

Objective To investigate programmed death including necroptosis,apoptosis,autophagy,ferroptosis,and pyroptosis in bone marrow megakaryocytes of mice during sepsis and its impact on platelet production capacity and coagulation function in mice.Methods C57BL/6J mice were randomly divided into a sham operation group(sham group)and a sepsis model group(CLP group).Peripheral blood platelets and coagulation function were measured by abdominal aortic blood sampling at 24 h postoperatively in both sham and CLP groups.After the mice were sacrificed,long bones of both lower limbs were taken,and bone marrow megakaryocytes were extracted using megakaryocyte separation solution and immunomagnetic bead separation.Laser confocal microscopy was used to observe the activation of programmed death-related marker molecules in mouse bone marrow megakaryocytes.Flow cytometry was used to detect programmed death rate,platelet production phenotype,and platelet surface markers(CD41,CD42b,CD61)of megakaryocytes.Western blotting was used to detect the expression of programmed death-related proteins in megakaryocytes.Results Compared with the sham group,the CLP group showed significant decreases in the number of platelets during acute sepsis(24 h)(P<0.000 1),significant increases in platelet distri-bution width(PDW)and mean platelet volume(MPV)(P<0.01),significant prolonging of thrombin time(TT),prothrombin time(PT),and activated partial thromboplastin time(APTT)(P<0.000 1,P<0.001,P<0.01),and significant reduction in fibrinogen(Fib)(P<0.000 1).Compared with the Con/sham group,the LPS/CLP group exhibited significant increases in the platelet production phenotype of megakaryocyte,the number of PLP in the supernatant,and the expression levels of platelet surface markers(CD41,CD42b,CD61).The rates of megakaryocyte necroptosis/apoptosis,pyroptosis,and ferroptosis were significantly elevated at 24 h post-CLP surgery.Laser confo-cal microscopy showed significant activation of LC3,P-MLKL,Caspase-1,and Fe2+in megakaryocytes of mice after CLP surgery.Western blotting results revealed that the CLP group exhibited a significant increase in the activa-tion rate of necroptosis-related protein P-MLKL(P<0.001),a significant increase in the cleavage of pyroptosis-related proteins GSDMD and GSDMD-N(P<0.01,P<0.001,respectively),a significant increase in the expres-sion of ferroptosis-related protein ACSL4(P<0.01),and a significant decrease in the expression of GPX4(P<0.01)compared to the sham group.Additionally,the CLP group demonstrated significant increases in the expression of apoptosis-related protein Bax,the cleavage of autophagy-related protein LC3B-Ⅱ,and the expression of P62(P<0.05,P<0.001,P<0.001,respectively).Inhibition of apoptosis with programmed cell death inhibitors decreased platelet production function of megakaryocyte,while inhibition of necroptosis and pyroptosis had limited effects on platelet production function of megakaryocyte.Inhibition of ferroptosis and autophagy enhanced platelet production function of megakaryocyte.Conclusion Significant programmed death of megakaryocytes was observed during the acute phase of sepsis(24 h).Among those megakaryocytes,apoptosis is an important mechanism for the differentia-tion of platelet production phenotype and increased platelet production capacity of megakaryocyte.Overactive autophagy and ferroptosis in megakaryocytes lead to megakaryocyte dysfunction,which is an important mechanism for coagulation abnormalities in sepsis.

Five previously undescribed diterpenoids, named succipenoids D‒H (1‒5), along with four undescribed lignans, named succignans A‒D (6‒9), were isolated from the dichloromethane extract of Chinese medicinal succinum. Compounds 1‒5 were characterized as nor-abietane diterpenoids, while compounds 6‒9 were identified as lignans polymerized from two groups of phenylpropanoid units. The structures of these novel compounds, including their absolute configurations, were determined through spectroscopic and computational methods. Biological assessments of renal fibrosis demonstrated that compounds 6 and 7 effectively reduce the expression of proteins associated with renal fibrosis, including α-smooth muscle actin (α-SMA), collagen I, and fibronectin in transforming growth factor-β1 (TGF-β1) induced normal rat kidney proximal tubular epithelial cells (NRK-52e).
Animals ; Rats ; Lignans/isolation & purification* ; Diterpenes/isolation & purification* ; Fibrosis/drug therapy* ; Drugs, Chinese Herbal/pharmacology* ; Molecular Structure ; Cell Line ; Kidney Diseases/pathology* ; Transforming Growth Factor beta1/genetics* ; Kidney/metabolism* ; Actins/genetics* ; Fibronectins/genetics* ; Collagen Type I/genetics* ; Epithelial Cells/metabolism*

Objective To observe the effect of Kaixin Powder on neuroinflammation in APP/PS1 mice by regulating WDFY1/TLR4/NF-κB signaling pathway;To explore its mechanism of intervening in Alzheimer disease(AD).Methods APP/PS1 transgenic mice were randomly divided into model group,donepezil hydrochloride group(0.66 mg/kg),and Kaixin Powder low-,medium-and high-dosage groups(1.625,3.25,6.5 g/kg),C57BL/6J mice were set as blank control group,with 8 mice in each group,and corresponding drug intervention was given to medicaction group for 24 weeks.Morris water maze,Y maze and novel object recognition experiments were conducted to assess the cognitive function and learning and memory abilities of mice,immunohistochemical staining was used to detect the deposition of β-amyloid protein(Aβ)in hippocampus,the morphology and Nissl bodies of hippocampal CA1 neurons were observed using HE staining and Nissl staining,ELISA was used to detect the serum contents of interleukin(IL)-6,IL-17,IL-1β and tumor necrosis factor-α(TNF-α),Western blot was used to detect the protein expression of calcium-binding adapter molecule 1(Iba1),glial fibrillary acidic protein(GFAP),WDFY1,Toll like receptor 4(TLR4),Toll like receptor associated molecule(TRAM),TIR domain adapter protein(TRIF),NF-κB p65 and p-NF-κB p65 in hippocampal tissue,RT-qPCR was used to detect the mRNA expression of WDFY1,TLR4,TRAM,TRIF and NF-κB p65 in hippocampal tissue.Results Compared with the blank control group,the model group had significantly prolonged escape latency,reduced platform crossings,decreased autonomous reaction alternation rate and relative recognition index(P<0.05,P<0.01),with increased deposition of Aβ in hippocampal tissue(P<0.01),damaged morphological structure of neurons,reduced number of neurons and Nissl bodies,the serum contents of IL-6,IL-17,IL-1β and TNF-α significantly increased,the expression of Iba1,GFAP,WDFY1,TLR4,TRAM,TRIF,p-NF-κB p65 protein and WDFY1,TLR4,TRAM,TRIF mRNA in hippocampal tissue significantly increased(P<0.01).Compared with the model group,Kaixin Powder groups and donepezil hydrochloride group had significantly shortened escape latency and increased platform crossings,autonomous reaction alternation rate and relative recognition index(P<0.05,P<0.01),hippocampal Aβ deposition reduced in Kaixin Powder medium-,high-dosage groups and donepezil hydrochloride group,the morphological structure of neurons recovered,the number of neurons and Nissl bodies increased,the serum contents of IL-6,IL-17,IL-1β and TNF-α significantly decreased(P<0.05,P<0.01),and the protein expression of Iba1,GFAP,WDFY1,TLR4,TRAM,TRIF,p-NF-κB p65 and the mRNA expressions of WDFY1,TLR4,TRAM and TRIF in hippocampal tissue significantly decreased(P<0.05,P<0.01).Conclusion Kaixin Powder can improve cognitive function and learning and memory abilities in AD model mice,alleviate hippocampal neuron damage and Aβ deposition,inhibit the activation of microglia and astrocytes,and thereby reduce serum inflammatory cytokine release.Its mechanism may be related to regulating the WDFY1/TLR4/NF-κB signaling pathway to inhibit neuroinflammation.

Objective:To analyze the risk factors for atrial high-rate episodes (AHRE) following cardiac resynchronization therapy (CRT) and construct a predictive model for the occurrence of AHRE.Methods:This was a case-control study. Patients who received CRT treatment for heart failure in the Second Affiliated Hospital of Second Affiliated Hospital of Army Military Medical University from January 2017 to December 2020 were selected and divided into AHRE group and non-AHRE group according to whether AHRE occurred during the follow-up period. Baseline clinical data were collected. Patients were followed up regularly after CRT or cardiac resynchronization therapy defibrillator (CRT-D) implantation until August 31, 2022. Logistic regression model was used to analyze the factors influencing the occurrence of AHRE in patients with heart failure treated with CRT, and a nomogram prediction model was established. The receiver operating characteristic (ROC) curve was used to evaluate the nomogram model, and the Hosmer-Lemeshow test was used to evaluate the consistency of the prediction model.Results:A total of 198 patients, aged (62±8) years, 138 (69.7%) males, were enrolled, of whom 52 (26.3%) patients developed AHRE (AHRE group) and 146 (73.7%) had no AHRE (non-AHRE group) during the follow-up period. Multivariate logistic regression analysis revealed that age, coronary heart disease, C-reactive protein, left atrial volume, and left ventricular ejection fraction (LVEF) were independent influencing factors of heart failure patients developing AHRE after CRT surgery (all P<0.05). A nomogram prediction model was constructed by combining 5 indicators: age, coronary heart disease, C-reactive protein, left atrial volume, and LVEF. In this model, a score of 4 was assigned for age ≥65 years, 4 for coronary heart disease, 4 for C-reactive protein ≥10 ng/ml, 20 for left atrial volume ≥35 ml, and 5 for LVEF ≤30%. The total score was obtained by accumulating the scores of each indicator, and the probability of heart failure patients developing AHRE after CRT surgery was predicted based on the total score. The area under the curve of the nomogram prediction model constructed in this study for predicting AHRE in heart failure patients after CRT surgery was 0.830 (95% CI: 0.795-0.866). The incidence of AHRE predicted by the model was basically consistent with the actual incidence of AHRE. The Hosmer-Lemeshow test indicated a good calibration of the model ( χ2=6.32, P=0.612). Conclusions:Age, coronary heart disease, C-reactive protein, left atrial volume, and LVEF are all independent risk factors for AHRE after CRT treatment. The nomogram prediction model based on the above factors can effectively predict the risk of AHRE in patients with heart failure after CRT, and the ROC curve and consistency test both show good prediction efficiency and consistency.

Objective:To evaluate the performance of the neural network model in segmenting gout tophus in the first metatarsophalangeal（MTP1）joint ultrasound images.Methods:A total of 1 218 tophus images from 381 patients who underwent MTP1 ultrasound examinations in the Affiliated Hospital of Qingdao University between May 2023 and December 2024 were prospectively collected. The images were divided into training，validation，and test sets in a ratio of 7∶2∶1. Multiple neural network models were trained to automatically identify and segment tophus in the images，with physician-annotated tophus regions serving as the reference standard. Model performance was evaluated in the test set，and the impact of tophus characteristics（e.g.，echogenicity，size，and presence of bone erosion）on segmentation efficacy was analyzed.Results:In the test set，CMUNeXt demonstrated superior tophus segmentation performance versus Unet，Unet++，TransUnet，and CMU-Net，achieving an accuracy of 99.1%，precision of 79.1%，recall of 84.6%，intersection over union of 68.8%，and Dice similarity coefficient of 80.2%. Logistic regression identified tophus echogenicity，size，and bone erosion as independent efficacy factors OR（95% CI）=7.275（1.598-33.129），21.303（4.282-105.985），13.520（3.617-50.530），0.076（0.007-0.823）（all P<0.05）. Hypoechoic tophus demonstrated significantly superior segmentation performance compared to mixed-echoic and isoechoic tophus（all P<0.05），and lesions with larger maximum diameters（>10 mm）were segmented more effectively than smaller tophus（ P<0.05）. Conclusions:The CMUNeXt model enables accurate identification and segmentation of tophus in MTP1 ultrasound images，particularly excelling for larger and hypoechoic lesions. This approach holds significant promise for AI-assisted diagnosis of MTP1 gouty arthritis.

Objective To investigate the mechanism of modified Guizhi Fuling Pills in treating diabetic kidney disease(DKD)through autophagy regulation based on network pharmacology and experimental validation.Methods Active components and action targets of modified Guizhi Fuling Pills were screened via the TCMSP database.DKD-related autophagy targets were obtained from GeneCards,TTD,DrugBank and PharmGKB.A protein-protein interaction network was constructed using STRING,followed by GO functional and KEGG pathway enrichment analyses via DAVID.Molecular docking of key components and core targets was performed using AutoDock Tools 1.5.7.DKD model rats were prepared.The rats were randomly divided into normal group,model group,valsartan group(50 mg/kg),and modified Guizhi Fuling Pills low-,medium-and high-dosage group(9.9,19.8 and 39.6 g/kg).After 8-week interventions,body mass and water intake were recorded;fasting blood glucose,24 h urinary total protein(24 hUTP),urinary albumin-to-creatinine ratio(UACR)were monitored.Renal histopathology was evaluated via HE and Masson staining.Western blot was used to detect protein expressions of AMPK/FOXO1 pathway(p-AMPK,AMPK,FOXO1)and autophagy markers(Beclin-1,p62),while quantitative real-time PCR was used to assess AMPK and FOXO1 mRNA expressions.Results A total of 146 active components of Guizhi Fuling Pills and 33 main targets for treating DKD were screened,with the core targets including FOXO1,BCL2,TP53 and PTEN.KEGG pathway enrichment analysis suggested that AMPK/FOXO1 signaling pathway,AGE-RAGE and insulin signaling pathways may play a core regulatory role.Guizhi Fuling Pills could significantly reduce the body mass of DKD rats,reduce water intake,decrease renal index,decrease fasting blood glucose,24 hUTP and UACR(P<0.05,P<0.01),improve renal tissue pathology,increase AMPK,FOXO1,Beclin-1 protein expressions and AMPK,FOXO1 mRNA expressions(P<0.05),and reduce p62 protein expression(P<0.05).Conclusion Modified Guizhi Fuling Pills may exert therapeutic effects on DKD by regulating the AMPK-FOXO1-autophagy axis.