ObjectivePancreatic ductal adenocarcinoma (PDAC) exhibits a limited response to current treatments due to its dense fibrotic stroma and highly immunosuppressive tumor microenvironment. In recent years, advancements in cellular immunotherapy, particularly chimeric antigen receptor macrophage (CAR-M) therapy, have offered new hope for pancreatic cancer treatment. Although CAR-M therapy demonstrates dual potential in directly killing tumor cells and remodeling the immune microenvironment, it still faces challenges such as complex in vitro preparation processes and low in vivo targeting and delivery efficiency. Therefore, developing strategies for efficient and targeted in vivo delivery of CAR genes has become crucial for overcoming current therapeutic limitations. This study aims to develop an orally administrable nano-gene delivery system for the targeted delivery of CAR genes to pancreatic tumor sites. MethodsCore nano-gene particles (PNP/pCAR) were constructed by loading plasmid DNA encoding CAR (pCAR) with cationic polypeptides (PNP). Subsequently, PNP/pCAR was surface-modified with β-glucan to prepare the targeted nanoparticles (βGlus-PNP/pCAR). The loading efficiency of PNP for pCAR was quantitatively assessed by gel retardation assay. The particle size, Zeta potential, morphology, and storage stability of PNP/pCAR were characterized using a Malvern particle size analyzer and transmission electron microscopy. At the cellular level, RAW 264.7 macrophages were selected. The cytotoxicity of PNP/pCAR was evaluated using the CCK-8 assay. The cellular uptake efficiency and lysosomal escape ability of the nanoparticles were assessed via flow cytometry and confocal microscopy. Transfection efficiency was quantitatively evaluated by detecting the expression of the reporter gene GFP using flow cytometry. At the in vivo level, an orthotopic pancreatic cancer mouse model was established. Cy7-labeled βGlus-PNP/pCAR nanoparticles were administered orally, and the fluorescence distribution in mice was dynamically monitored at 1, 2, 4, 8, and 16 h post-administration using a small animal in vivo imaging system. Forty-eight hours after oral gavage, the mice were euthanized, and pancreatic tumor tissues were collected for further analysis of intratumoral fluorescence signals using the imaging system. Additionally, βGlus-PNP/pCAR-GFP nanoparticles loaded with the reporter gene (GFP) were administered orally. Forty-eight hours post-administration, pancreatic tumor tissues were harvested to prepare frozen sections, and GFP expression was observed and analyzed under a fluorescence microscope. ResultsThe PNP carrier exhibited a high loading capacity for pCAR. The successfully prepared PNP/pCAR nanoparticles were regular spheres with a hydrodynamic diameter of approximately (120±10) nm and a Zeta potential of about +(6±1) mV. They maintained good structural stability after incubation in PBS buffer for 7 d. Cell experiments demonstrated that PNP/pCAR exhibited no significant cytotoxicity in RAW 264.7 cells while being efficiently internalized and effectively escaping lysosomal degradation. The transfection positive rate of PNP/pCAR-GFP in RAW 264.7 cells reached (25±3)%, surpassing that of Lipofectamine 2000-loaded pCAR-GFP (Lipo/pCAR-GFP), which was (20±1)%.In vivo experiments revealed that, compared to unmodified PNP/pCAR, βGlus-PNP/pCAR exhibited strongerin situ pancreatic tumor targeting ability after oral administration. Furthermore, oral administration of βGlus-PNP/pCAR-GFP resulted in significant GFP protein expression detectable within pancreatic tumor tissues. ConclusionThis study successfully constructed and validated an orally administrable, pancreatic cancer-targeting polypeptide-based nano-gene delivery system. It provides an important technological foundation in delivery systems and experimental basis for the subsequent development of in situ CAR-M-based therapeutic strategies for pancreatic cancer.

ObjectivePancreatic ductal adenocarcinoma (PDAC) exhibits a limited response to current treatments due to its dense fibrotic stroma and highly immunosuppressive tumor microenvironment. In recent years, advancements in cellular immunotherapy, particularly chimeric antigen receptor macrophage (CAR-M) therapy, have offered new hope for pancreatic cancer treatment. Although CAR-M therapy demonstrates dual potential in directly killing tumor cells and remodeling the immune microenvironment, it still faces challenges such as complex in vitro preparation processes and low in vivo targeting and delivery efficiency. Therefore, developing strategies for efficient and targeted in vivo delivery of CAR genes has become crucial for overcoming current therapeutic limitations. This study aims to develop an orally administrable nano-gene delivery system for the targeted delivery of CAR genes to pancreatic tumor sites. MethodsCore nano-gene particles (PNP/pCAR) were constructed by loading plasmid DNA encoding CAR (pCAR) with cationic polypeptides (PNP). Subsequently, PNP/pCAR was surface-modified with β-glucan to prepare the targeted nanoparticles (βGlus-PNP/pCAR). The loading efficiency of PNP for pCAR was quantitatively assessed by gel retardation assay. The particle size, Zeta potential, morphology, and storage stability of PNP/pCAR were characterized using a Malvern particle size analyzer and transmission electron microscopy. At the cellular level, RAW 264.7 macrophages were selected. The cytotoxicity of PNP/pCAR was evaluated using the CCK-8 assay. The cellular uptake efficiency and lysosomal escape ability of the nanoparticles were assessed via flow cytometry and confocal microscopy. Transfection efficiency was quantitatively evaluated by detecting the expression of the reporter gene GFP using flow cytometry. At the in vivo level, an orthotopic pancreatic cancer mouse model was established. Cy7-labeled βGlus-PNP/pCAR nanoparticles were administered orally, and the fluorescence distribution in mice was dynamically monitored at 1, 2, 4, 8, and 16 h post-administration using a small animal in vivo imaging system. Forty-eight hours after oral gavage, the mice were euthanized, and pancreatic tumor tissues were collected for further analysis of intratumoral fluorescence signals using the imaging system. Additionally, βGlus-PNP/pCAR-GFP nanoparticles loaded with the reporter gene (GFP) were administered orally. Forty-eight hours post-administration, pancreatic tumor tissues were harvested to prepare frozen sections, and GFP expression was observed and analyzed under a fluorescence microscope. ResultsThe PNP carrier exhibited a high loading capacity for pCAR. The successfully prepared PNP/pCAR nanoparticles were regular spheres with a hydrodynamic diameter of approximately (120±10) nm and a Zeta potential of about +(6±1) mV. They maintained good structural stability after incubation in PBS buffer for 7 d. Cell experiments demonstrated that PNP/pCAR exhibited no significant cytotoxicity in RAW 264.7 cells while being efficiently internalized and effectively escaping lysosomal degradation. The transfection positive rate of PNP/pCAR-GFP in RAW 264.7 cells reached (25±3)%, surpassing that of Lipofectamine 2000-loaded pCAR-GFP (Lipo/pCAR-GFP), which was (20±1)%.In vivo experiments revealed that, compared to unmodified PNP/pCAR, βGlus-PNP/pCAR exhibited strongerin situ pancreatic tumor targeting ability after oral administration. Furthermore, oral administration of βGlus-PNP/pCAR-GFP resulted in significant GFP protein expression detectable within pancreatic tumor tissues. ConclusionThis study successfully constructed and validated an orally administrable, pancreatic cancer-targeting polypeptide-based nano-gene delivery system. It provides an important technological foundation in delivery systems and experimental basis for the subsequent development of in situ CAR-M-based therapeutic strategies for pancreatic cancer.

Objective To explore the effect of influenza vaccination on the prevention of respiratory tract infection in preschool children. Methods The clinical data of 400 preschool children (1-6 years old) who were diagnosed with respiratory tract infection for the first time in department of pediatrics of Xi'an Third Hospital and second department of respiratory medicine of Xi'an Children's Hospital were retrospectively analyzed from January 2023 to December 2023, including acute bronchitis, upper respiratory tract infection and pneumonia. According to the actual influenza vaccination status, the patients were divided into vaccination group (n=210) and non-vaccination group (n=190). The incidence of respiratory tract infection was compared between both groups. The fever duration, average course of disease, hospitalization rate, clinical symptoms scores (fever, cough, nasal congestion, sore throat), inflammation indicators [C-reactive protein (CRP), white blood cell count (WBC), neutrophil percentage (NE%)] and recurrence rate after 6 months of follow-up were compared. Results The incidence of respiratory tract infection in the vaccination group was significantly lower than that in the non-vaccination group (21.43% vs 43.16%, P<0.05), and the hospitalization rate was significantly lower compared with that in the non-vaccination group (P<0.05). The scores of fever, cough, nasal congestion and sore throat were lower in the vaccination group than those in the non-vaccination group (P<0.05), and the CRP, WBC and NE% were significantly lower compared to the non-vaccination group (P<0.05). After 6 months of follow-up, the recurrence rate in the vaccination group was 11.11% (5/45), which was significantly lower than 26.83% (22/82) in the non-vaccination group (χ²=0.038, P=4.288<0.05). Conclusion Influenza vaccination can effectively reduce the incidence of respiratory tract infection in preschool children, relieve the symptoms and shorten the disease course after infection. Its preventive effect on influenza is particularly significant, suggesting the importance of strengthening influenza vaccination in preschool children.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Medical transfer robots were introduced in terms of their main uses,characteristics and special requirements in nuclear,biological and chemical environments.The research progress in foreign countries and China of medical transfer robots for nuclear,biological and chemical environments was reviewed.The deficiencies of the existing medical transfer robots for nuclear,biological and chemical environments were analyzed,and some countermeasures were put forward accordingly.It's pointed out intelligence,standardization,modularization and integration were the future development trends of medical transfer robots in nuclear,biological and chemical environments.[Chinese Medical Equipment Journal,2025,46(4):82-87]

This study was aimed at analyzing the biotypes and genetic diversity characteristics of five non-major Brucella species,to provide a scientific basis for understanding the species diversity of Brucella and strengthening pathogen monitoring and control.According to the biotypes(species,hosts,isolation locations,and time)and MLVA-16 genotypes(MLVA-16 lo-cus data,MLVA-11 genotypes)of five non-major pathogenic Brucella in the international MLVA database,we used Bionu-merics 8.0 software and PHYLOVIZ2.0 online software to analyze the geographical origin and genetic diversity characteristics of strains.A total of 227 strains were studied,including 121 Brucella ceti,47 B.pinnipedialis,37 Brucella ovis,11 B.mi-croti,and Brucella neotomae.The greatest host diversity was observed for B.ceti,followed by B.pinnipedialis and B.mi-croti.B.ceti was distributed in European and South American countries;B.pinnipedialiswas distributed in Europe;and B.microti.was distributed in the Czech Republic,Austria,and Hungary in Central Europe.B.ovis was widely distributed in Af-rica,Argentina,Australia,Brazil,Greece,the United States,Spain,and France.The MLVA-11 genotypes of different types of Brucella showed high polymorphism and large differences,thus suggesting that the strains have different geographical ori-gins.MST analysis indicated that the studied strains were divided into four branches(BCⅠ-Ⅳ),among which B.ceti was di-vided into two different branches(BC-Ⅰ and BC-Ⅱ),the strains of other types formed different branches(or sub-branches),and the strains of different types showed clear regional and dominant host characteristics.Genetic correlation analysis of strains of the Brucella genus revealed that non-major pathogenic Brucella had clear genetic,distribution,and host spectrum differ-ences with respect to four classical pathogenic Brucella species.Five non-major pathogenic Brucella strains presented unique genetic evolutionary patterns,geographical distributions,and host tropism characteristics,thereby providing new insight for understanding the biological and genetic diversity of those Brucella strains.

Objective To explore the correlation between systemic inflammatory response index(SIRI)and the prognosis of elderly heart failure(HF)patients.Methods A retrospective study was conducted on 300 elderly HF patients with complete medical records hospitalized in our de-partment from January to December 2022.During the follow-up period for 1 year in different ways,46 of them were lost,and 254 were finally included.Baseline data,complete blood count at admission,and results of auxiliary examinations,and medicine adherence after discharge were col-lected and recorded.According to the occurrence of major adverse cardiovascular events(MACE),the subjected patients were divided into a MACE group(96 cases)and a non-MACE group(158 cases).The baseline data and relevant examination indicators were compared between the two groups,and the relevant factors for the occurrence were analyzed by using logistic regression.ROC curve analysis was employed to assess the predictive value of SIRI for MACE occurrence.Results The MACE group had significantly advanced age,larger proportion of diabetes mellitus,higher neutrophil and platelet counts,and elevated D-dimer level,but lower standardized medication rate when compared with the non-MACE group(P＜0.05,P＜0.01).The SIRI level was obviously higher in the MACE group than the non-MACE group[1.70(1.13,2.33)vs 1.29(0.85,2.06),P=0.002].Multivariate logistic regression analysis showed that atrial fibrillation,standardized medi-cation,mononuclear cells,and SIRI were independent risk factors for the occurrence of MACE in elderly HF patients(P＜0.05,P＜0.01).ROC curve analysis indicated that the AUC value of SIRI in predicting the occurrence of MACE was 0.614(95％CI:0.544-0.683),with a sensitivity of 0.813 and a specificity of 0.437.Conclusion SIRI is significantly correlated with the occurrence of MACE in elderly HF patients,and has a certain predictive value for their prognosis.

[Objective]By integrating multi-parameter magnetic resonance imaging(MRI)radiomics features,an interpretable machine learning model was constructed to accurately predict pre-operative traditional Chinese medicine(TCM)syndromes in breast cancer patients,providing objective and quantitative basis for clinical TCM syndrome types differentiation.[Methods]A total of 315 patients pathologically diagnosed breast cancer from the First Affiliated Hospital of Zhejiang Chinese Medical University between June 2019 to October 2023 were retrospectively included.The preoperative TCM syndromes of the patients were classified into liver depression with phlegm coagulation,chongren dysregulation and positive deficiency blazing toxin type.These patients were randomly allocated to the training(221 cases)and validation sets(94 cases)in a ratio of 7:3.Radiomics features in dynamic contrast-enhanced imaging(DCE),diffusion-weighted imaging(DWI)and apparent diffusion coefficient(ADC)images of each patient were extracted by using Kruskal-Wallis rank sum test,Spearman correlation analysis and least absolute shrinkage and selection operator(LASSO)polynomial Logistic regression screening for radiomics features.Then,light gradient boosting machine(LightGBM)was used to construct the syndrome prediction model.[Results]A total of 2 832 radiomics features were extracted from the DCE,DWI and ADC images of each patient.After a series of feature selection methods,the total numbers of features for DCE,DWI,ADC and three-sequence combination were 3,3,3 and 7 respectively.The machine learning model integrating multi-sequence MRI image information had the best performance,with micro-averaged area under the curve(AUC)of 0.852 and 0.838 for the training and validation sets,and macro-averaged AUC of 0.833 and 0.810 for the training and validation sets respectively.Shapley additive explanation(SHAP)analysis showed that inverse difference moment normalization(Idmn)of the ADC sequence,average gray level(Mean)of the ADC sequence and inverse variance of the DCE sequence were the three features that contributed most to the prediction results.[Conclusion]The interpretable machine learning model constructed in this study can accurately predict pre-operative TCM syndromes in breast cancer patients.SHAP interpretability analysis provides quantitative contribution value information,which can help clinicians understand the model prediction process and provide a new perspective for the application of traditional Chinese medicine in the treatment of breast cancer.

To explore the understanding of the target population regarding the Get Active Questionnaire for Pregnancy(GAQ-P)and the Companion Health Care Provider Consultation Form for Prenatal Physical Activity(cHCP-CF-PPA)in the Chinese context,and to verify the consistency of the Chinese version of the prenatal physical activity dual screening questionnaire with the original version in terms of language expression,27 pregnant women and 12 healthcare providers were selected from Obstetrics and Gynecology Hospital,Fudan University during Aug and Oct 2023,and were interviewed using purposive sampling.Two rounds of cognitive interviews were conducted.The first round revealed that some respondents experienced ambiguities in understanding the meanings of 5 items in the questionnaire.Following modifications,the second round indicated that the revised items were consistent in meaning with the original questionnaire.Cognitive interviews can facilitate the adaptation of the prenatal physical activity dual screening questionnaire to the Chinese cultural context,improve the understanding of the questionnaire items among the target population,and promote the localization of the screening tool.

Objective To evaluate the effect of Intravascular lithotripsy(IVL)in the treatment of calcified nodules,and to observe the presence of coronary dissection after IVL treatment.Methods A total of 106 patients with coronary atherosclerotic heart disease(coronary heart disease)admitted to the cardiovascular Department of Shougang Hospital,Peking University from March 2023 to July 2024 were retrospectively analyzed.A total of 106 patients with moderate to severe stenosis accompanied by calcification as detected by coronary angiography were treated with IVL after intravascular ultrasound(IVUS)examination.Patients were divided into two groups according to whether there were calcified nodules in the coronary lesions:39 cases in the calcified nodules group and 67 cases in the non-calcified nodules group.The occurrence of coronary dissection during surgery was observed between the two groups,and other perioperative related complications and major adverse cardiovascular events(MACE)within 1 month after percutaneous coronary intervention(PCI)were compared between the two groups.Results The levels of renal insufficiency(25.6％vs.9.0％,P=0.021)and creatinine[(119.71±134.75)μmol/L vs.(71.82±16.53)μmol/L,P=0.033]in the calcified nodule group were higher than those in the non-calcified nodule group,the difference was statistically significant,and there was no difference in other baseline data.The target vessels in the calcified nodule group were mainly left anterior descending branch and right coronary artery,while those in the non-calcified nodule group were mainly left anterior descending branch,with few circumflex branches in both groups,and there was statistical significance in the distribution of target vessels in the left anterior descending branch and right coronary artery between the two groups(P=0.020).In terms of eccentric calcification(P=0.048)and asymmetric calcification(48.7％vs.28.4％,P=0.035)between the two groups,the calcified nodule group was higher than the non-calcified nodule group,the difference was statistically significant(P＜0.05).In terms of whether more than 20 pulses were needed and whether there was slippage during IVL,the calcified nodule group was higher than the non-calcified nodule group,the difference was statistically significant(P=0.022).The success rate of interventional therapy was 100％in both groups.After IVL treatment,the calcified nodule group was higher than the non-calcified nodule group in terms of the occurrence of coronary artery dissection,the difference was statistically significant(P＜0.009).The MACE of the two groups within 1 month after PCI was slightly higher in the calcified nodule group than in the non-calcified nodule group,but the difference was not statistically significant(P=0.235).Conclusions IVL is feasible and effective for the treatment of calcified coronary nodules.However,in the course of treatment,the occurrence of coronary dissection should be vigilant,identified as early as possible,and treated in time.