Lung cancer is the malignant tumor with the highest global incidence and mortality rates. With the widespread application of chest CT, its detection rate has shown a gradual upward trend. Early-stage lung cancer lesions typically appear on chest CT as pure ground-glass nodules, solid nodules, and mixed ground-glass nodules. Lung cancer associated with cystic airspaces (LCCA), as a subtype with distinctive imaging features, is also being detected with increasing frequency. Pathologically, LCCA is predominantly adenocarcinoma or squamous cell carcinoma, often characterized by thick walls, solid components, and necrotic tissue, suggesting a more aggressive behavior. Given that the early imaging manifestations of LCCA lack specificity, it is prone to clinical misdiagnosis as benign conditions such as pulmonary infection, pulmonary bullae, or tuberculosis, leading to missed or incorrect diagnosis. Currently, related research primarily focuses on its pathogenesis, imaging morphology, and diagnosis, while systematic investigation into its clinical treatment strategies and prognosis remains insufficient. Therefore, this article provides a review of recent research advances in the pathogenesis, imaging features, radiomics and histopathological characteristics, diagnosis, genetic mutation profiles, as well as treatment and prognosis of LCCA.

Plant-derived extracellular vesicles (PDEVs) are nanoscale extracellular vesicles secreted by plant cells, characterized by a lipid bilayer structure. These vesicles carry a variety of bioactive molecules, including proteins, nucleic acids, and lipids, and play essential roles in intercellular communication and physiological regulation in plants. Compared to animal-derived extracellular vesicles, PDEVs offer several advantages, such as a broad range of sources, high biocompatibility, low immunogenicity, and low production costs. Furthermore, PDEVs have demonstrated remarkable potential as natural nanocarriers for drug delivery, due to their ability to efficiently traverse biological barriers, such as the blood-brain barrier, making them promising candidates for drug delivery systems. This review systematically elaborates on the complex composition of PDEVs, which consists of lipids, proteins, and nucleic acids, the typical structural characteristics of their lipid bilayers ranging from 30 to 150 nm, and their versatile loading capabilities as drug carriers, efficiently encapsulating various types of therapeutic agents such as hydrophilic small molecules, hydrophobic drugs, nucleic acids, and proteins. We systematically summarize the recent advancements in strategies for enhancing the loading efficiency of PDEVs, which include methods such as co-incubation, ultrasound-assisted loading, electroporation, freeze-thaw cycles, and microfluidic technology. These techniques are evaluated based on their underlying principles, suitable drug types, and their respective advantages. In addition to loading strategies, we focus on the engineered approaches to achieve targeted delivery using PDEVs, such as genetic engineering modifications, chemical ligand conjugation, membrane fusion technology, and polyethylene glycol (PEG) modification. We discuss the mechanisms of these strategies in enhancing targeting efficiency, prolonging in vivo circulation time, and improving therapeutic efficacy. Further, this review highlights the application of PDEVs in various disease models, including tumor, skin inflammation, metabolic disorders, and neurodegenerative diseases, showcasing their therapeutic potential as multifunctional delivery platforms. The ability of PDEVs to encapsulate diverse therapeutic agents and target specific tissues or cells opens up new avenues for the treatment of complex diseases, offering advantages over conventional drug delivery systems. However, despite the promising applications of PDEVs, several challenges remain in their development and clinical translation. These challenges include variability in source materials, standardization of preparation processes, quality control, scalability of production, and the need for clinical validation. To overcome these obstacles, the integration of advanced technologies such as artificial intelligence-assisted design and multi-omics analysis is proposed as a way to facilitate the precise development of PDEVs. These emerging technologies hold the potential to further enhance the precision and effectiveness of plant-based drug delivery systems, ultimately advancing the field of precision medicine. In conclusion, the use of PDEVs as a platform for drug delivery represents a promising area of research with the potential to revolutionize therapeutic strategies. Their ability to encapsulate and deliver a wide variety of bioactive molecules, along with their inherent advantages in biocompatibility and versatility, makes them a valuable tool in the development of more efficient and targeted therapeutic interventions. Continued research and innovation in this field will pave the way for the clinical implementation of PDEVs in the treatment of various diseases, offering new hope for more effective and sustainable therapeutic options.

It is considered that "turbid pathogen damaging the clear， and the loss of clarity and harmony regulation" is the core pathogenesis of esophageal precancerous lesions， with turbid pathogen persisting throughout the disease course. Turbid pathogen encompasses qi turbidity， phlegm turbidity， stasis turbidity， and toxin turbidity， closely related to dietary indiscretion， emotional disharmony， spleen-stomach deficiency， and kidney deficiency failing to consolidate. Turbid pathogen undergoes a dynamic evolution process of qi constraint generating turbid→ phlegm-stasis transforming into toxin→turbidity toxin harming the healthy qi， corresponding to the pathological alterations of hypoxia， inflammation and immunosuppression within the tumor microenvironment. The overall therapeutic principle is to remove turbidity and restore clarity. In the early stage， targeting the hypoxic tumor microenvironment， the suggested treatment method is opening constraint and dispersing the block， regulating qi and remove turbidity， with emphasis on soothing liver and regulating stomach， raising the clear and directing the turbid downward. In the middle stage， targeting inflammatory microenvironment， the treatment aims to clear toxin and dissipate nodules， resolve stasis and eliminate turbid， emphasizing phlegm-stasis elimination， turbid-toxin resolution， and concurrent stomach qi protection. In the late stage， corresponding to immunosuppressive microenvironment， the method of boosting qi， nourishing yin， reinforcing healthy qi， and eliminating turbidity can be used， with focus on spleen-stomach tonification， kidney essence replenishment， and healthy qi reinforcement to expel pathogenic factors.

ObjectiveTo investigate the effects of salidroside （SAL） on the impaired bioactivity of endothelial progenitor cells （EPCs） in atherosclerotic （As） mice and the potential mechanisms regarding AMP-activated protein kinase （AMPK）. MethodsAtherosclerosis was induced in 8-week-old male ApoE^-/- mice with high-fat diet. Intragastric administration of SAL was given to one mice group to investigate the effects of SAL on aortic plaque burden， plasma NO level， the migration and angiogenic capabilities of bone marrow-derived EPCs （BM-EPCs）. The proliferation， migration and vasculogenic properties of EPCs isolated from As mice were investigated in vitro. AMPK-sh-RNA or the AMPK inhibitor Compound C was used to investigate the role of AMPK/Akt/eNOS pathway in the regulatory effects of SAL. ResultsCompared with As group， NO level was significantly elevated in SAL group. The sizes of atherosclerotic plaques at the aortic root were reduced with smaller lipid cores in SAL group compared with As group. Moreover， the migration and angiogenesis capacity of EPCs markedly decreased in As mice， while SAL treatment reversed these impairments. Incubation with SAL at concentrations of 20， 40， and 80 μmol/L for 48 hours significantly promoted the proliferation， migration， and angiogenesis of EPCs. AMPK-sh-RNA transfection abrogated the 20 μmol/L SAL improvement in EPC biological activities. Western blot analysis further demonstrated that treatment with Compound C blocked the activation of AMPK/Akt/eNOS signaling pathway induced by SAL. ConclusionSAL upregulates the biological functions of EPCs through activating the AMPK/Akt/eNOS signaling pathway， thereby ameliorating EPC dysfunction during the pathological progression of atherosclerosis.

OBJECTIVE:A great deal of evidence indicates that regular exercise can improve the health status of elderly individuals,including reducing overall and abdominal fat levels,increasing muscle mass and bone mineral density of the limbs,thereby preventing or delaying the onset of sarcopenia and its comorbidities.This study aims to determine the most reliable type,duration,and intensity of exercise interventions through meta-analysis to prevent,delay,and alleviate sarcopenia and its comorbidities in elderly individuals.METHODS:Randomized controlled trials examining the effects of exercise interventions on elderly individuals with sarcopenia and its comorbidities were searched in the PubMed,Embase,Web of Science,Cochrane Library,CNKI,and WanFang databases.The Cochrane Risk of Bias Tool was used to assess the quality of the included studies,and RevMan 5.3 software was employed for meta-analysis.Subgroup analyses were conducted to explore the effects of different exercise intervention protocols on various outcome measures.In addition,Stata 16.0 software was used to perform sensitivity analysis to assess the stability of the results,and funnel plots and Egger's test were employed to evaluate publication bias,ensuring the comprehensiveness and reliability of the results.RESULTS:(1)Sixteen studies involving 861 patients with sarcopenia and its comorbidities were included.(2)The meta-analysis results indicated that,compared with the control group,exercise significantly improved grip strength,knee muscle strength,appendicular skeletal muscle mass,skeletal muscle index,Timed Up and Go test results,gait speed,and insulin-like growth factor 1 levels(P＜0.05).However,the effect of exercise intervention on the sit-to-stand test was not significantly improved(P＞0.05).(3)Based on the results of subgroup analysis,it is recommended that elderly patients with sarcopenia and its comorbidities engage in exercise at least three times per week,with each session lasting no more than 30 minutes or exceeding 45 minutes,for at least 12 weeks.The exercise protocol should be flexibly adjusted according to the patient's health status and individual needs.CONCLUSION:Exercise interventions significantly improve muscle mass,muscle strength,physical function,and insulin-like growth factor 1 levels in elderly individuals with sarcopenia and its comorbidities,thereby enhancing their quality of life.However,further research is needed to validate these findings and optimize specific intervention protocols.

Objective:To explore the clinical characteristics, diagnosis and treatment strategies, and prognosis of pulmonary embolism (PE) complicating childhood rheumatic diseases.Methods:A retrospective case series study was performed on the demographic data, laboratory indicators, imaging features, treatment regimens, and follow-up data of 8 children with rheumatic diseases complicated by PE who were admitted to the Department of Rheumatology and Immunology, Capital Center for Children′s Health, Capital Medical University from January 2014 to October 2023.Results:Among the 8 children, there were 4 boys and 4 girls, with an age of 12.0 (7.5, 13.0) years. Among the primary diseases, there were 3 cases of systemic lupus erythematosus, 2 cases of Beh?et′s disease, 2 cases of Takayasu arteritis, and 1 case of antiphospholipid syndrome. All children developed PE during the active phase of the primary disease. PE was detected at the onset of the primary disease in 3 cases, and the median time from the diagnosis of the primary disease to the development of PE was 10.0 (6.0, 25.0) months in the remaining 5 cases. Fever was present in all 8 children, 4 cases were accompanied by chest tightness, dyspnea, etc., and 2 cases only presented with fever. Laboratory examinations revealed the following results: erythrocyte sedimentation rate was 42.0 (17.0, 78.0) mm/1 h, high-sensitivity C-reactive protein was 12.7 (2.6, 78.7) mg/L, white blood cell count was 9.6 (7.2, 18.7)×10 9/L; D-dimer was 2.3 (0.9, 6.2) mg/L; and hemoglobin was (109±16) g/L.Imaging examinations revealed that 5 cases had involvement of the bilateral lower pulmonary arteries, 5 cases had peripheral embolism, and 3 cases had central PE. Complications included 3 cases of deep vein thrombosis, 2 cases of intracranial venous sinus thrombosis, and 1 case of mild pulmonary hypertension.In terms of treatment, 7 cases received anticoagulation with heparin followed by warfarin. Immunomodulation was mainly based on glucocorticoids combined with immunosuppressants, and 4 cases were combined with biological agents. The follow-up time of 4.17 (1.75, 7.17) years, the time for complete absorption of PE was 10.5 (6.0, 18.0) months; all 8 children had no target events, with no recurrence or chronic thromboembolic pulmonary hypertension, and the pulmonary artery remodeling was good. Conclusions:PE complicating childhood rheumatic diseases is closely related to the activity of the primary disease. The clinical manifestations are insidious, with fever as the main symptom. Imaging examination is the key to diagnosis.Early adoption of heparin followed by warfarin anticoagulation and glucocorticoids combined with immunosuppressants and (or) biological agents to control the primary disease can achieve a favorable prognosis.

ObjectiveTo explore the application of virtual reality biofeedback training combined with oral localization therapy in dysphagia after oral cancer surgery. MethodsFrom May, 2023 to July, 2024, 86 patients with dysphagia after oral cancer surgery in Zhejiang Provincial People's Hospital were randomly divided into control group (n = 43) and experimental group (n = 43). The control group received conventional swallowing function training, while the experimental group added virtual reality biofeedback training combined with oral positioning therapy, for four weeks. The Standardized Swallowing Function Assessment Scale (SSA), Functional Oral Intake Scale (FOIS) and M.D.Anderson Dysphagia Inventory (MDADI) were used for evaluation before intervention, and two weeks, four weeks and eight weeks after intervention. ResultsFor scores of SSA , the main effects of group (F = 150.190, P < 0.001, η²_p = 0.641) and time (F = 230.870, P < 0.001, η²_p = 0.733), as well as the interaction effect (F = 16.910, P < 0.001, η²_p = 0.168) were all significant. For scores of FOIS, the main effects of group (F = 59.601, P < 0.001, η²_p = 0.415) and time (F = 89.464, P < 0.001, η²_p = 0.516), as well as the interaction effect (F = 7.990, P < 0.001, η²_p = 0.087) were all significant. For scores of MDADI, the main effects of group (F = 33.133, P < 0.001, η²_p = 0.283) and time (F = 49.650, P < 0.001, η²_p = 0.371), as well as the interaction effect (F = 3.224, P = 0.023, η²_p = 0.037) were all significant. ConclusionVirtual reality biofeedback training combined with oral localization therapy could improve the swallowing function, oral feeding ability and overall quality of life of patients with dysphagia after oral cancer surgery.

Objective To evaluate the safety and efficacy of a self-developed micro-normothermic machine perfusion (NMP) system (micro-perfusion device) for preserving isolated porcine limbs. Methods Five healthy Landrace pigs were selected, and their left and right forelimbs were randomly divided into the NMP group and static cold storage (SCS) group. The NMP group was perfused with the self-developed micro-perfusion device and polymerized hemoglobin perfusate for 32 hours at normothermia, while the SCS group was preserved at 4 ℃. Hemodynamic parameters such as perfusion pressure and flow were monitored. The pH value, partial pressure of oxygen (PO₂), lactic acid (Lac), creatine kinase (CK) and lactate dehydrogenase (LDH) in the perfusate were measured. Hematoxylin-eosin staining was used to assess the muscle tissue structure, terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling was employed to evaluate muscle cell apoptosis, and immunohistochemistry staining was applied to detect the expressions of tumor necrosis factor (TNF)-α and interleukin (IL)-6. A mixed-effects model was used to analyze the effects of time and treatment methods on tissue structure, cell apoptosis and inflammatory factors. Results The device could stably maintain a perfusion pressure of (69±15) mmHg and a flow rate of (117±42) mL/min. The pH value and electrolytes of the perfusate were generally stable, with PO₂ maintained at a high level. Lac was maintained at 5.38(3.81, 6.45) mmol/L, while CK and LDH increased over time. After 32 hours of perfusion in the NMP group, both the myocyte spacing and apoptosis rate were better than those in the SCS group. Mixed-effects model analysis showed that there were statistically significant differences in the effects of NMP treatment and SCS treatment on myocyte spacing and apoptosis rate per unit time (both P < 0.05). There were no statistically significant differences in TNF-α and IL-6 between the two groups, and mixed-effects model analysis showed no statistically significant differences in the effects of NMP treatment and SCS treatment on TNF-α and IL-6 per unit time (both P > 0.05). Conclusions The micro-perfusion device used in this study may achieve 32-hour normothermic preservation in a porcine limb amputation model, maintain basic metabolism and ionic homeostasis, reduce muscle structural damage and cell apoptosis without inducing additional inflammatory responses. This technology is expected to significantly extend the time window for replantation of amputated limbs in disaster rescue and long-distance transportation, providing an important technical basis for clinical translation and subsequent replantation research.

Objective To compare multiple models and analyze SHAP feature contributions to construct a machine learning risk prediction model for post-reperfusion syndrome (PRS) during adult living donor liver transplantation (LDLT). Methods Clinical data of 390 patients who underwent LDLT due to end-stage liver disease at the First Affiliated Hospital of Anhui Medical University from May 2023 to April 2025 were collected. Five machine learning models, including random forest, logistic regression, XGBoost, decision tree, and AdaBoost, were compared. Feature selection was performed using Lasso regression, and the training set was divided into five folds for stratified cross-validation. The generalization ability of the model was evaluated on the independent test set. The models were comprehensively compared based on key evaluation indicators such as recall rate, accuracy rate, precision rate, area under the curve (AUC) and F1 value, to determine the optimal model. Results Eight potential factors for predicting PRS were selected. The random forest model demonstrated the best prediction performance in both the training set and the test set. Its accuracy rate was as high as 84.2% (AUC = 0.894, 95% confidence interval 0.808-0.964) in the test set. The importance ranking of PRS predictors was determined through SHAP value analysis. Cold ischemia time, K⁺ during the anhepatic period and the model for end-stage liver disease (MELD) score were all identified as the most significant predictors. Conclusions Based on eight key indicators including cold ischemia time, portal vein occlusion time, pre-reperfusion body temperature, alkaline reserve during the anhepatic period, K⁺ during the anhepatic period, MELD score, left ventricular end-diastolic diameter and graft volume to standard liver volume ratio, the PRS prediction model constructed using the random forest algorithm demonstrates the best prediction performance in the test set, providing certain assistance for subsequent clinical predictions.

Objective To systematically review the studies on predictive models for delayed graft function (DGF) after kidney transplantation. Methods Databases including China Biology Medicine Database, China National Knowledge Infrastructure, Wanfang Database, VIP Database, PubMed, Web of Science and CINAHL were searched to collect studies on predictive models for DGF after kidney transplantation published from the establishment of each database to June 29, 2025. Two researchers screened the literatures according to the inclusion and exclusion criteria, evaluated the quality of the literatures using the prediction model risk of bias assessment tool (PROBAST), and conducted a meta-analysis of the common predictors of the models using R software. Results A total of 12 literatures were included, involving 14 predictive models with sample sizes ranging from 103 to 24 653 cases. Donor serum creatinine level, cold ischemia time, donor age and donor body mass index were the top four common predictors. All the predictive models were at high risk of bias and low in applicability. The results of meta-analysis showed that abnormal donor body mass index, advanced donor age, prolonged cold ischemia time and elevated donor serum creatinine level were all associated with an increased risk of DGF after transplantation (all P<0.01), but there was high heterogeneity among the studies. Fixed-effect model and random-effect model were used to re-pool the effect sizes separately. The results indicated that the fixed-effect model and random-effect model had good consistency in terms of donor body mass index, donor age and cold ischemia time, while there was a significant difference in the effect sizes of the two models for donor serum creatinine level. Conclusions The predictive models for DGF risk after kidney transplantation have good predictive performance, but the overall risk of bias is high. In the future, large-sample, multicenter and high-quality prospective clinical studies should be carried out to optimize the predictive models, so as to improve their predictive ability and clinical application value.