[摘 要] 树突状细胞（DC）是连接固有免疫与适应性免疫的核心枢纽，其功能稳态是介导肿瘤免疫监视的关键。然而，肿瘤微环境（TME）通过营养竞争及免疫抑制代谢产物的累积，驱动DC发生代谢重编程，进而诱导免疫应答功能缺陷。本文系统综述了TME中DC各亚型在三大代谢层面的重塑机制：糖代谢层面，高乳酸微环境通过GPR81信号抑制MHC-Ⅱ类分子表达，削弱传统树突状细胞（cDC）的抗原提呈能力；脂代谢层面，Wnt5a-β-catenin-PPARγ-CPT1A轴介导的脂肪酸氧化促进cDC向免疫抑制表型极化；氨基酸代谢层面，Arg1-IDO1通路的级联激活诱导DC获得耐受表型。针对上述代谢异常，当前干预策略已由单一靶点调控拓展至多模式联合，包括基于脂质纳米颗粒的原位疫苗与mRNA递送系统、代谢-免疫协同阻断，以及代谢状态优化的DC疫苗等。因此，深化对DC代谢检查点的认知，并靶向干预关键代谢检查点，不仅有望逆转免疫抑制微环境、克服治疗耐药，更为开发新一代代谢-免疫联合疗法提供了重要的科学依据与转化策略。

Objective To investigate the early dynamic changes of biomarkers associated with capillary leak syndrome(CLS)in patients with severe acute pancreatitis(SAP)and their correlation with multiple organ failure(MOF).Methods A total of 171 SAP patients admitted to the West China Centre of Excellence for Pancreatitis,West China Hospital,Sichuan University between September 1,2019 and December 31,2020 were enrolled for this study.The patients were divided into MOF and non-MOF groups based on the occurrence of MOF in the first 5 days of hospitalization,and were further divided into subgroups based on the presence of moderate-to-severe intra-abdominal hypertension(IAH).We performed dynamic monitoring of the blood biomarkers(hematocrit[HCT].blood urea nitrogen[BUN].and creatinine[Cr]),plasma proteins(albumin[Alb].total protein[TP].and non-albumin plasma proteins[NAPP]),and intra-abdominal pressure.Trends in these indicators across groups were analyzed comprehensively.Results No significant differences in baseline data between the two groups were observed.The baseline data of the 2 groups were comparable.The MOF group had significantly higher rates of persistent systemic inflammatory response syndrome(SIRS)lasting 48 hours(91.3％vs.71.8％),ICU admission(70.4％vs.17.6％),and length-of-stay([32±17.7]days vs.[19.0±12.2]days)compared to those of the non-MOF group(P＜0.05).The incidences of respiratory,circulatory,and renal failures were higher in the MOF group than those in the non-MOF group,showing significant differences in circulatory failure(69％vs.3.5％)and renal failure(65.5％vs.3.5％)(P＜0.05).In the first 5 days of hospitalization,the MOF group showed significantly elevated BUN and Cr levels,while Alb and TP levels dropped rapidly upon admission and then gradually recovered.The NAPP level of the MOF group continued to decrease after admission,and on the third day after admission,the NAPP level was lower than that of the Non-MOF group,showing statistically significant difference(P＜0.001).The Alb/NAPP ratio of the MOF group decreased significantly on day 1 and then rapidly increased,showing significant differences between the groups on days 3 and 4(P=0.001).Subgroup analysis of MOF patients with moderate-to-severe IAH revealed similar trends in the dynamic changes and the overall changes in the indicators,and the difference was even more pronounced.The mixed linear model showed that the average levels of HCT,BUN,Alb/NAPP,and Alb/TP were higher and increased over time in the MOF combined with IAP subgroup(P＜0.001).Conclusion The CLS model of SAP patients is validated,confirming that CLS is a key factor in the progression from SIRS to MOF.The loss of NAPP is an early and important indicator of CLS persistence and progression to MOF.Additionally,moderate-to-severe IAH accelerates the deterioration of MOF.These findings provide valuable insights into the potential mechanisms of MOF and warrant further validation through large-scale prospective studies.

Objective To develop a machine learning(ML)-based prediction model for assessing the therapeutic effects of resveratrol(RES)on the pathological damage of acute pancreatitis(AP),and to optimize RES administration strategies for AP through validation using an animal model.Methods AAn ML-based prediction model was constructed using published data.Interpretability analysis was applied to identify high-efficacy zones within the parameter space of administration dose and frequency,which was followed by rigorous screening to select the optimal dosing strategy that balanced therapeutic efficacy and experimental feasibility.A total of 32 C57BL/6 mice were randomly assigned to 4 groups(n=8 per group),including a control group(Ctrl),an AP model group induced by caerulein(CER)and referred to as CER-AP,a treatment group receiving RES via intraperitoneal injection(RES i.p.),and a treatment group receiving RES via intragastric gavage(RES i.g.).The Ctrl group received intraperitoneal injection of normal saline.The CER-AP and the treatment groups were induced with 10 intraperitoneal injections of CER at 50 μg/kg.RES was administered to the RES i.p.and RES i.g.groups according to the optimal dose and timing predicted by the ML model.Blood and tissue samples were collected 12 hours after the experiment started.Results The gradient boosting decision tree model,optimized via Hyperopt,yielded the best performance,predicting that the optimal dose and administration frequency were 19.992 mg/kg and 3.828 times,respectively.Accordingly,a regimen of 20 mg/kg RES,administered four times,was used in the animal experiments.Compared with the Ctrl group,the CER-AP group exhibited higher pancreatic pathology scores and elevated levels of serum amylase,lipase,pancreatic myeloperoxidase,and trypsin,with all differences reaching statistical significance(all P<0.05).The administration of 20 mg/kg RES via both intraperitoneal injection and intragastric gavage mitigated pancreatic inflammatory cell infiltration and necrosis,improved the overall pathology score,and reduced serum amylase,lipase,and pancreatic myeloperoxidase levels to varying degrees(all P<0.05).Conclusion A regimen of 20 mg/kg RES administered four times effectively alleviates the severity of CER-induced AP.The therapeutic benefits appear to arise from a multi-target regulatory network that simultaneously suppresses inflammatory cascades,mitigates oxidative stress,and reduces apoptosis,thereby reducing pancreatic tissue damage and systemic inflammatory responses.

The in-depth research of artificial intelligence in the medical field has greatly improved the workflow and diagnostic ability of diagnostic radiology.This article focuses on artificial intelligence technology in the field of interventional medicine,and enumerates its potential application scenarios,including improving image analysis capabilities to assist diagnosis and predict treatment response.It also describes the challenges that need to be overcome for practical application.Finally,with the continuous development of artificial intelligence in interventional medicine,artificial intelligence will further optimize the channels of interventional medicine and bring revolutionary changes to the clinical practice of interventional medicine.

Objective:To investigate the clinical efficacy and prognostic factors of neoadju-vant chemotherapy (NACT) and radical resection on adenocarcinoma of esophagogastric junction (AEG) and gastric adenocarcinoma (GC).Methods:The propensity score matching and retrospec-tive cohort study was conducted. The clinicopathological data of 263 patients with AEG and GC who were admitted to Peking University Cancer Hospital from March 2017 to March 2022 were collected. There were 204 males and 59 females, aged (60±10)years. Of the 263 patients, 81 cases with AEG were set as the AEG group, and 182 cases with GC were set as the GC group. Observation indicators: (1) propensity score matching and comparison of clinicopathological characteristics of patients between the two groups after matching; (2) evaluation of the efficacy of NACT and pathological conditions; (3) intraoperative and postoperative conditions; (4) follow-up; (5) analysis of factors affecting prognosis of patients. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney rank sum test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the nonparametric rank sum test. The Cox proportional hazard model was used for univariate and multivariate analyses. The Kaplan-Meier method was used to calculate survival rate and draw survival curve. The Log-rank test was used for survival analysis. Propensity score matching was done by the 1:1 nearest neighbor matching method with a caliper value of 0.02. Results:(1) Propensity score matching and comparison of clinicopathological charac-teristics of patients between the two groups after matching. Of 263 patients, 156 cases were succe-ssfully matched, including 78 cases in the AEG group and 78 cases in the GC group. After propensity score matching, the elimination of age and degree of tumor differentiation confounding bias ensured comparability between the two groups. (2) Evaluation of the efficacy of NACT and pathological condi-tions. After propensity score matching, cases with pathological complete response were 2 in the AEG group, versus 9 in the GC group, showing a significant difference between the two groups ( χ2=4.793, P<0.05). (3) Intraoperative and postoperative conditions. After propensity score matching, the operation time of AEG group was 225(200,283)minutes. The resection range (whole stomach, distal stomach, proximal stomach) were 68, 0, 10, respectively. The digestive tract reconstruction methods (Roux-en-Y, Billroth Ⅰ/Ⅱ/Uncut Roux-en-Y, esophageal residual gastric, double channel) were 68, 0, 5, 5, respectively. Duration of postoperative hospital stay was 12(10,16)days. Total hospi-talization expense was (114 400±4 828)yuan. The above indicators of the GC group were 200(174,234)minutes, 22, 55, 1, 21, 56, 0, 1, 10(9,11)days, (98 790±2 549)yuan, respectively. There were significant differences in the above indicators between the two groups ( Z=-3.813, χ2=85.875, 88.487, Z=-4.060, t=2.524, P<0.05). Cases of complication and cases of serious complication were 32 and 9 in the AEG group, versus 22 and 5 in the GC group, showing no significant difference between the two groups ( χ2=2.832, 1.256, P>0.05). (4) Follow-up. All 156 patients after propensity score matching were followed up after surgery, with a follow-up time of 51(range, 3-84)months. Number of death in the AEG group and GC group were 26 and 25 during the follow-up. The postoperative 3-, 5-year overall survival rate were 70.4%, 58.3% in patients of the AEG group, versus 75.7%, 62.6% in patients of the GC group, showing no significant difference in overall survival between the two groups ( χ2=0.141, P>0.05). (5) Analysis of factors affecting prognosis of patients. Results of multivariate analysis showed that NACT, average tumor diameter after NACT, vascular tumor emboli were independent factors affecting prognosis of patients with AEG and GC after NACT and radical resection before propensity score matching ( hazard ratio=1.864, 1.807, 4.551, 95% confidence interval as 1.137-3.056, 1.124-2.903, 2.709-7.645, P<0.05). Conclusions:Compared with patients of GC, patients of AEG have a lower proportion of pathological complete response after NACT, but there is no signifi-cant difference in the incidence of complication and survival of patients with AEG and GC after NACT and radical resection. NACT, average tumor diameter after NACT, vascular tumor emboli are indepen-dent factors affecting prognosis of patients with AEG and GC after NACT and radical resection.

Objective To establish a mouse model of bronchiectasis with acute infection and evaluate the immunogenicity and protective effect of a self-assembling Pseudomonas aeruginosa(PA)nanoparticle vaccine rePO-FN based on fusion of PcrV-OprI(rePO)protein with self-assembling ferritin(Ferritin).Methods ① SPF-grade female C57BL/6 mice(aged 6～8 weeks,weighing 18～20 g)were randomly allocated into normal saline group,and low-,medium-and high-dose elastase groups(n=6).A mouse model of bronchiectasis was established via intratracheal instillation of different doses of elastase(30 μL of normal saline containing 0.65,1.30 and 2.60 IU elastase)for 3 consecutive days.At 14 and 21 d after modeling,ELISA and HE staining were performed respectively to detect the concentration of IL-6 and to observe pathological changes in lung tissue in order to confirm the modeling.② A recombinant plasmid encoding the gene of fusion protein rePO-FN was constructed and expressed in E.coli.The target protein was purified via affinity chromatography and renatured to obtain the desired protein.The physicochemical properties of the rePO-FN protein were characterized using SDS-PAGE protein gel electrophoresis,dynamic light scattering,molecular sieve chromatography,and transmission electron microscopy.③ C57BL/6J mice were randomly divided into PBS group,rePO group,rePO-FN group,and Ferritin group(n=10).The mice in the above groups were immunized intramuscularly with 100 μL PBS buffer alone or containing 10 μg of corresponding proteins on days 0,7,and 14.ELISA was used to measure the specific antibodies in serum.In 7 d after the final immunization,an acute PA infection model was used to compare the survival rates and bacterial colonization among the PBS,rePO,and rePO-FN groups.After establishing a bronchiectasis model by intratracheal instillation of 2.60 IU of elastase in C57BL/6J mice as described above,the mice were randomly divided into bronchiectasis PBS group,bronchiectasis rePO group,and bronchiectasis rePO-FN group(n=10).Immunization was conducted at the same dose and procedure as described above,in 21 d after bronchiectasis modeling.At the 7th d after the final immunization,an acute PA infection model was used to compare the survival rates and bacterial colonization among the groups.Results ①Repeated intratracheal instillation of elastase significantly increased the concentration of IL-6 in the lung tissue when compared to the content of the normal saline group(P＜0.05).Pathological observations revealed varying degrees of bronchial wall destruction,alveolar fusion,edema,neutrophil infiltration,and hemorrhage,with the severity increasing with elastase dose,which confirming successful establishment of the mouse model of bronchiectasis.② Well-dispersed rePO-FN nanoparticles were successfully prepared,with an average particle size of 91.28 nm,a Zeta potential of approximately-6.5 mV,and a polydispersity index(PDI)of 0.306.Molecular sieve chromatography determined the elution volume of rePO-FN protein to be 8.80 mL,corresponding to a molecular weight of approximately 1 400 kDa.③ Under acute PA XN-1 strain infection,the survival rate of the rePO-FN immunization group and the bronchiectasis rePO-FN immunization group were significantly higher than that of the PBS control group(P＜0.05).Additionally,bacterial colonization in the lung tissues was significantly lower in the rePO-FN immune group and the bronchiectasis rePO-FN immune group under acute PA XN-1 strain infection than that in the rePO group and the bronchiectasis rePO group(P＜0.05).Conclusion Our vaccine rePO-FN can effectively trigger a strong humoral immune response and provide significant protection against PA infection in a mouse bronchiectasis model.

OBJECTIVES: Osteoarthritis (OA) and sarcopenia are significant health concerns in the elderly, substantially impacting their daily activities and quality of life. However, the relationship between them remains poorly understood. This study aims to uncover common biomarkers and pathways associated with both OA and sarcopenia. METHODS: Gene expression profiles related to OA and sarcopenia were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between disease and control groups were identified using R software. Common DEGs were extracted via Venn diagram analysis. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted to identify biological processes and pathways associated with shared DEGs. Protein-protein interaction (PPI) networks were constructed, and candidate hub genes were ranked using the maximal clique centrality (MCC) algorithm. Further validation of hub gene expression was performed using 2 independent datasets. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of key genes for OA and sarcopenia. Mouse models of OA and sarcopenia were established. Hematoxylin-eosin and Safranin O/Fast Green staining were used to validate the OA model. The sarcopenia model was validated via rotarod testing and quadriceps muscle mass measurement. Real-time reverse transcription PCR (real-time RT-PCR) was employed to assess the mRNA expression levels of candidate key genes in both models. Gene set enrichment analysis (GSEA) was conducted to identify pathways associated with the selected shared key genes in both diseases. RESULTS: A total of 89 common DEGs were identified in the gene expression profiles of OA and sarcopenia, including 76 upregulated and 13 downregulated genes. These 89 DEGs were significantly enriched in protein digestion and absorption, the PI3K-Akt signaling pathway, and extracellular matrix-receptor interaction. PPI network analysis and MCC algorithm analysis of the 89 common DEGs identified the top 17 candidate hub genes. Based on the differential expression analysis of these 17 candidate hub genes in the validation datasets, AEBP1 and COL8A2 were ultimately selected as the common key genes for both diseases, both of which showed a significant upregulation trend in the disease groups (all P<0.05). The value of area under the curve (AUC) for AEBP1 and COL8A2 in the OA and sarcopenia datasets were all greater than 0.7, indicating that both genes have potential value in predicting OA and sarcopenia. Real-time RT-PCR results showed that the mRNA expression levels of AEBP1 and COL8A2 were significantly upregulated in the disease groups (all P<0.05), consistent with the results observed in the bioinformatics analysis. GSEA revealed that AEBP1 and COL8A2 were closely related to extracellular matrix-receptor interaction, ribosome, and oxidative phosphorylation in OA and sarcopenia. CONCLUSIONS AEBP1 and COL8A2 have the potential to serve as common biomarkers for OA and sarcopenia. The extracellular matrix-receptor interaction pathway may represent a potential target for the prevention and treatment of both OA and sarcopenia.
Sarcopenia/genetics* ; Osteoarthritis/genetics* ; Computational Biology/methods* ; Humans ; Protein Interaction Maps/genetics* ; Animals ; Mice ; Gene Expression Profiling ; Gene Ontology ; Transcriptome ; Male ; Signal Transduction/genetics* ; Gene Regulatory Networks

OBJECTIVES: Osteoarthritis (OA) is one of the most common chronic degenerative diseases, with chondrocyte apoptosis and extracellular matrix (ECM) degradation as the major pathological changes. The mechanical stimulation can attenuate chondrocyte apoptosis and promote ECM synthesis, but the underlying molecular mechanisms remain unclear. This study aims to investigate the role of primary cilia (PC) in mediating the effects of mechanical stimulation on OA progression. METHODS: In vivo, conditional knockout mice lacking intraflagellar transport 88 (IFT88^flox/flox IFT88 knockout; i.e., primary cilia-deficient mice) were generated, with wild-type mice as controls. OA models were established via anterior cruciate ligament transection combined with destabilization of the medial meniscus, followed by treadmill exercise intervention. OA progression was evaluated by hematoxylin-eosin staining, safranin O-fast green staining, and immunohistochemistry; apoptosis was assessed by TUNEL staining; and limb function by rotarod testing. In vitro, primary articular chondrocytes were isolated from mice and transfected with lentiviral vectors to suppress IFT88 expression, thereby constructing a primary cilia-deficient cell model. Interleukin-1β (IL-1β) was used to induce an inflammatory environment, while cyclic tensile strain (CTS) was applied via a cell stretcher to mimic mechanical loading on chondrocytes. Immunofluorescence and Western blotting were used to detect the protein expression levels of type II collagen α1 chain (COL2A1), primary cilia, IFT88, and caspase-12; reverse transcription polymerase chain reaction was performed to assess COL2A1 mRNA levels; and flow cytometry was used to evaluate apoptosis. RESULTS: In vivo, treadmill exercise significantly reduced Osteoarthritis Research Society International (OARSI) scores and apoptotic cell rates, and improved balance ability in wild-type OA mice, whereas IFT88-deficient OA mice showed no significant improvement. In vitro, CTS inhibited IL-1β-induced ECM degradation and apoptosis in primary chondrocytes; however, this protective effect was abolished in cells with suppressed primary cilia expression. CONCLUSIONS Mechanical stimulation delays OA progression by mediating signal transduction through primary cilia, thereby inhibiting cartilage degeneration and chondrocyte apoptosis.
Animals ; Chondrocytes/cytology* ; Apoptosis/physiology* ; Mice ; Cilia/metabolism* ; Osteoarthritis/pathology* ; Extracellular Matrix/metabolism* ; Mice, Knockout ; Disease Progression ; Interleukin-1beta ; Male ; Cells, Cultured

Triple-negative breast cancer (TNBC) is a highly aggressive malignancy predominantly managed via chemotherapy. Our clinical sample analysis revealed a significant correlation between elevated CD24 expression in TNBC tumor cells and patient survival rates. We developed a novel antibody-drug conjugate (ADC), named HN03, consisting of an antibody with engineered cysteines for site-specific conjugation with a low toxic nitric oxide (NO) precursor as its payload through a novel Pt(IV)-mediated bioorthogonal self-cleavable linker. HN03 specifically targets tumor cells expressing high levels of CD24, concurrently generating cisplatin and releasing NO upon activation. HN03 also exhibited potent in vitro and in vivo antitumor activity. It significantly reduced tumor growth at various doses, prevented tumor metastasis, with markedly lower toxicity than traditional chemotherapy agents. We found that a key mechanism of its action involved inducing apoptosis and endoplasmic reticulum stress, substantially decreasing the number of M2-type macrophages. Overall, HN03 stands out as a promising therapeutic option for TNBC, offering a targeted treatment with reduced side effects and the potential for improved outcomes. Furthermore, using Pt(IV) in the linker and an NO precursor as the payload enhances the versatility of the Antibody-NO donor Conjugate (ANC), offering new avenues for the design of the next generation of ADCs.

OBJECTIVES: To construct an intelligent analysis model for classifying fetal orientation during intrapartum ultrasound videos based on multi-feature fusion. METHODS: The proposed model consists of the Input, Backbone Network and Classification Head modules. The Input module carries out data augmentation to improve the sample quality and generalization ability of the model. The Backbone Network was responsible for feature extraction based on Yolov8 combined with CBAM, ECA, PSA attention mechanism and AIFI feature interaction module. The Classification Head consists of a convolutional layer and a softmax function to output the final probability value of each class. The images of the key structures (the eyes, face, head, thalamus, and spine) were annotated with frames by physicians for model training to improve the classification accuracy of the anterior occipital, posterior occipital, and transverse occipital orientations. RESULTS: The experimental results showed that the proposed model had excellent performance in the tire orientation classification task with the classification accuracy reaching 0.984, an area under the PR curve (average accuracy) of 0.993, and area under the ROC curve of 0.984, and a kappa consistency test score of 0.974. The prediction results by the deep learning model were highly consistent with the actual classification results. CONCLUSIONS The multi-feature fusion model proposed in this study can efficiently and accurately classify fetal orientation in intrapartum ultrasound videos.
Humans ; Female ; Ultrasonography, Prenatal/methods* ; Pregnancy ; Fetus/diagnostic imaging* ; Neural Networks, Computer ; Video Recording