[摘 要] 目的：探究半乳糖凝集素-9（Gal-9）对胰腺癌细胞的侵袭与迁移功能的促进作用及其机制。方法：基于公开单细胞转录组数据分析胰腺癌中免疫检查点分子的表达谱，结合Western blotting和ELISA验证Gal-9在胰腺癌细胞及临床相关模型中的表达与分泌特征。建立C57BL/6小鼠胰腺原位移植瘤模型，通过免疫组化、免疫荧光染色和流式细胞术分析Gal-9对肿瘤细胞增殖及其对瘤内CD8+ T细胞浸润与功能状态的影响。Gal-9重组蛋白及肿瘤细胞条件培养基（CM）处理肿瘤相关成纤维细胞（CAF），Western blotting、RT-qPCR和免疫荧光检测CAF中Ⅰ型胶原表达变化。免疫共沉淀、免疫荧光染色和Western blotting分析Gal-9与CD44的相互作用及JAK2/STAT3通路相关蛋白的表达。构建过表达Gal-9胰腺癌细胞与CAF共移植的裸鼠皮下荷瘤模型，结合天狼星红和马松染色评估小鼠肿瘤组织中胶原沉积情况。脱细胞外基质法提取CAF中沉积的细胞外基质（ECM）蛋白；通过细胞划痕、Transwell迁移及侵袭实验，检测CAF来源Ⅰ型胶原对胰腺癌细胞侵袭、迁移功能的影响，并通过siRNA干扰Gal-9表达进行功能反向验证。结果：与经典免疫检查点分子PD-L1和CTLA-4相比，Gal-9在胰腺癌中显著高表达（P < 0.000 1）。体内实验表明，Gal-9促进肿瘤生长（P < 0.001），上调Ki-67表达，同时减少肿瘤内CD8⁺ T细胞浸润并诱导肿瘤组织中TIM-3⁺细胞比例升高，Granzyme B、IFN-γ及TNF-α表达下降（P < 0.05）。体外实验显示，外源性Gal-9及肿瘤细胞来源的CM均可上调CAF中Ⅰ型胶原表达（P < 0.001）。机制研究表明，在CAF中抗Gal-9抗体免疫沉淀复合物中检测到CD44，且JAK2/STAT3蛋白表达水平增加。CAF来源的Ⅰ型胶原处理胰腺癌细胞后，肿瘤细胞的迁移和侵袭数量增加。相反，肿瘤细胞中敲低Gal-9表达后，CAF来源Ⅰ型胶原水平下降，同时肿瘤细胞侵袭和迁移数量下降。结论：胰腺癌来源的Gal-9具有双重作用：一方面，通过促进肿瘤细胞增殖和诱导CD8+ T细胞耗竭促进肿瘤进展；另一方面，通过结合CAF上的CD44受体，激活JAK2/STAT3信号通路，刺激CAF合成并分泌Ⅰ型胶原，进而增强胰腺癌细胞的侵袭迁移能力。

The Type III Secretion System (T3SS) serves as a pivotal virulence apparatus for numerous Gram-negative bacterial pathogens, enabling them to infect both animal and plant hosts. Functioning as a molecular syringe, the T3SS directly translocates bacterial effector proteins from the bacterial cytoplasm into the interior of eukaryotic host cells. These effectors are central weapons that precisely manipulate a wide spectrum of host cellular physiological processes, ranging from cytoskeletal dynamics to immune signaling, to establish a favorable niche for bacterial survival and proliferation. Among the diverse arsenal of T3SS effectors, the YopJ family constitutes a critical group of virulence factors. Members of this family are characterized by a conserved catalytic triad structure—a hallmark of the CE clan of cysteine proteases that has been evolutionarily repurposed to confer acetyltransferase activity. A defining and intriguing feature of these enzymes is their stringent dependence on a host-derived eukaryotic cofactor, inositol hexakisphosphate (IP₆), for allosteric activation. This requirement acts as a sophisticated molecular safeguard, ensuring enzymatic activity only within the appropriate host environment, thereby preventing detrimental effects on the bacterium itself. While seminal studies on individual members such as Yersinia’s YopJ and Salmonella’s AvrA have provided deep mechanistic insights, a systematic and integrative understanding of the structure-function relationships across the entire family remains fragmented. Key questions persist regarding how a conserved catalytic core has diverged to recognize distinct host substrates in different kingdoms of life. To address this gap, this article provides a systematic review of the YopJ family, focusing on three interconnected aspects: their structural features, their catalytic mechanism, and their divergent immunosuppressive strategies in animal versus plant hosts. By conducting a comparative analysis of the sequences and resolved three-dimensional structures of three representative members (e.g., HopZ1a, PopP2, AvrA), we elucidate regions of significant variation embedded within the conserved core catalytic architecture. These variable regions, often involving surface loops and substrate-binding interfaces, are crucial determinants of target specificity and functional specialization. The functional divergence of this effector family is most apparent when comparing their modes of action in different hosts. In animal hosts, YopJ-family effectors primarily sabotage innate immune signaling pathways. They achieve this by acetylating key serine and threonine residues within the activation loops of critical kinases in the MAPK and NF‑κB pathways. This post-translational modification blocks the phosphorylation and subsequent activation of these kinases, leading to potent suppression of inflammatory cytokine production. Conversely, in plant hosts, the strategy broadens to dismantle the two-tiered plant immune system. YopJ homologs target a more diverse set of substrates, including immune-associated receptor-like cytoplasmic kinases (RLCKs), microtubule networks via tubulin acetylation (which disrupts cellular trafficking and signaling), and transcription factors central to defense gene regulation. This multi-target approach effectively suppresses both Pattern-Triggered Immunity (PTI) and Effector-Triggered Immunity (ETI). In conclusion, this synthesis aims to deepen the mechanistic understanding of YopJ family-mediated pathogenesis by integrating structural biology with cellular function across host kingdoms. Elucidating the precise molecular basis for substrate selection—how conserved platforms achieve target diversity—is a major frontier. Furthermore, this knowledge provides a vital theoretical foundation for developing novel anti-virulence strategies. Targeting the conserved IP₆-binding pocket or the catalytic acetyltransferase activity itself represents a promising avenue for designing broad-spectrum inhibitors that could disarm this critical family of bacterial effectors, potentially offering new therapeutic approaches against a range of pathogenic bacteria.

Objective To study the oral health status of officers and soldiers in a certain unit,so as to provide a basis for the formulation and implementation of oral health support plans.Methods A total of 437 officers and soldiers in a certain unit were enrolled to assess their oral health status through questionnaire survey and clinical examination.Results The prevalences of dental caries and periodontal diseases were 87.6%(383/437)and 90.4%(395/437),respectively;the detection rates of impacted third molars,recurrent aphthous stomatitis,other mucosal diseases,and temporomandibular joint disorders were 12.6%(55/437),54.2%(237/437),29.5%(129/437),and 19.2%(84/437),respectively.In terms of oral medical needs,23.3%(102/437)patients did not need treatment,66.1%(289/437)required elective treatment,9.2%(40/437)required early treatment,and 1.4%(6/437)required urgent treatment.Conclusion Officers and soldiers in this study have a variety of oral diseases,with periodontal diseases having the highest prevalence.Supportting plans should be formulated based on the characteristics of the prevalence of oral diseases among them,and regular oral diagnosis and treatment should be carried out to prevent the development and progression of oral diseases.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To explore the molecular mechanism by which curcumin enhances the anti-tuberculosis function of macrophages through immune metabolic regulation mediated by liver X receptor α(LXRα)/ABCA1.Methods A model was established by infecting THP-1-derived macrophages with attenuated strain of Mycobacterium bovis(M.bovis).The control group,curcumin group,M.pavis group,M.pavis+LXRα agonist(T0901317)group,M.pavis+LXRα inhibitor(GSK2033)group,M.pavis+curcumin group,M.pavis+curcumin+GSK2033 group and M.pavis+curcumin+T0901317 group were set up.The protein and gene expressions of LXRα/ABCA1 were detected by Western blotting and real-time fluorescence quantitative polymerase chain reaction(RT-qPCR).The accumulation of lipid droplets was analyzed by Oil Red O staining and micro-assay.The lipid content of the supernatant was determined by a biochemical analyzer,and cell proliferation was assessed by the MTT method.Bacterial clearance capacity was evaluated by measuring intracellular bacterial load.Results Curcumin significantly upregulated the protein and gene expression of LXRα/ABCA1 in M.Bovis-infected macrophages,reduced intracellular lipid accumulation and promoted lipid efflux,while enhancing cell proliferation and reducing intracellular bacterial load(P<0.05,P<0.01).LXRα inhibitors could reverse the effect of curcumin,while agonists synergistically enhanced its effect.Correlation analysis showed that the expression of LXRα/ABCA1 in cells was negatively correlated with the intracellular bacterial load,while the lipid level was positively correlated with the intracellular bacterial load(P<0.01).Conclusion Curcumin activates the LXRα/ABCA1 pathway,coordinates the metabolic remodeling of macrophages and the enhancement of immune function,and forms a synergistic effect against tuberculosis,providing an experimental basis for the development of a novel host-directed treatment strategy for tuberculosis based on immune-metabolic regulation.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Heatstroke,especially in high-temperature and high-humidity environments,is a life-threatening acute heat-injury disease that seriously endangers human health.Timely and effective on-site treatment is crucial for patients'survival and prognosis.Early recognition,rapid assessment,and on-site cooling are the core of pre-hospital treatment of heatstroke.Currently,there is a lack of standardized application procedures for pre-hospital emergency care of heatstroke.Therefore,the"Expert Consensus on Pre-hospital Emergency Management of Heatstroke(2024 edition)"was initiated by the Expert Group on Heatstroke Prevention of the People's Liberation Army and developed in collaboration with experts from local pre-hospital emergency care,emergency departments,and intensive care units.This consensus focuses on heatstroke prevention,on-site and ambulance-based treatment,and early emergency room interventions,and puts forward 10 evidence-based recommendations,aiming to provide a reference for scientific and standardized pre-hospital emergency care of heatstroke.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Objective:To investigate the impact of the number of examined lymph nodes (ELN) on survival outcomes in gastric cancer patients with postoperative pathological stage pN3b.Methods:This retrospective cohort study included 279 pN3b gastric cancer patients who underwent D2 gastrectomy at Nanfang Hospital, Southern Medical University (September 2008 to April 2023), with 35 patients receiving combination chemotherapy and anti-PD-1 therapy (immunotherapy group) and 244 receiving adjuvant chemotherapy alone (nonimmunotherapy group). Additionally, 422 patients with pN3b from the SEER database (2005 to 2020) were collected as an external validation cohort to determine the optimal cutoff value for the number of lymph nodes examined in the nonimmunotherapy group. The primary endpoints were overall survival (OS) and recurrence-free survival (RFS) in the nonimmunotherapy group of the Nanfang Hospital cohort, stratified by whether the number of examined lymph nodes was above or below the ELN optimal cutoff value. These findings were subsequently validated in the SEER cohort.Results:The optimal ELN cutoff value (34 nodes) was determined using X-tile software and by constructing an ELN-HR fitting model with inflection point identification. In the nonimmunotherapy group, patients with ELN >34 exhibited significantly prolonged survival compared to ELN ≤34 (median OS: 25.0 (95%CI:20.5-29.5) to 17.0 (95%CI:12.7-21.3) months, P=0.004; median RFS: 19.0 (95%CI:15.6-22.4) to 13.0 (95%CI:9.5-16.5) months, P=0.048). Multivariate Cox analysis also showed ELN >34 to be an independent protective factor for both OS (HR=0.576, 95%CI: 0.397-0.836) and RFS (HR=0.701, 95%CI: 0.492-0.998). In the SEER cohort, ELN >34 was associated with a 5-month OS extension (19 to 14 months, P=0.065), with multivariate analysis supporting its independent prognostic significance (HR=0.729, 95%CI: 0.580-0.915, P=0.006). Notably, in the immunotherapy group, patients with ELN >34 ( n=30) achieved a median OS of 41 months, but the median OS had not been reached in the ELN ≤34 group ( n=5) (1 death at 48 months). Conclusion:Higher ELN (>34) correlates with improved survival in nonimmunotherapy-treated pN3b gastric cancer patients. However, in pN3b gastric cancer patients treated with immunotherapy, the optimal ELN threshold requires further exploration to determine.