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 investigate the protective effect of Liraglutide in rats with diabetic kidney disease(DKD)by regulating the nuclear factor E2-related factor 2(Nrf2)/glutathione peroxidase 4(GPX4)ferroptosis signaling pathway.Methods Twelve male Sprague-Dawley(SD)rats were randomly divided into normal control(NC)group,DKD group,and Liraglutide treatment(Lir)group,with 4 rats in each group.The 24 hUAlb,TC,TG,LDL-C,serum creatinine(Scr),BUN,ferrous ion(Fe2+),the activity of glutathione peroxidase(GSH-Px),and malondialdehyde(MDA)were detected in each group.Hematoxylin and eosin(HE),periodic acid-Schiff(PAS),and periodic acid-silver methenamine-Masson(PASM-Masson)staining were used to observe the pathological changes of the kidneys.Immunofluorescence was performed to detect the localization and expression of reactive oxygen species(ROS)in the renal tissue.The protein expressions of Nrf2 and GPX4 were detected by Western blot.Results Compared with the NC group,the levels of 24 hUAlb,Scr,BUN,TC,TG,LDL-C,MDA,ROS,and Fe2+were increased(P＜0.05 or P＜0.01),while the expressions of GSH-Px,Nrf2,and GPX4 proteins were decreased in the DKD group(P＜0.01).Compared with the DKD group,the levels of 24 hUAlb,BUN,TC,TG,LDL-C,MDA,ROS,and Fe2+were decreased(P＜0.05 or P＜0.01),and the expressions of GSH-Px,Nrf2,and GPX4 proteins were increased in the Lir group(P＜0.01).Conclusions Liraglutide may exert a protective effect in DKD by upregulating the Nrf2/GPX4 signaling pathway and inhibiting ferroptosis.

Percutaneous renal denervation(RDN)is a minimally invasive interventional treatment for hypertension that has been used in clinics at home and abroad,primarily for patients with resistant hypertension or who cannot tolerate antihypertensive drugs.Current clinical studies have confirmed the safety and efficacy of this technique.As RDN is still in its promotional and popularization stage,the expert group has written this clinical pathway to promote the orderly implementation of this technology,standardize the operating process,and standardize diagnostic and therapeutic behaviors.The pathway describes the clinical assessment of patients in detail(including indications,contraindications,and the patient screening process),the standardized operating process for RDN(including perioperative medication,anaesthesia,ablation,and management of complications),and the postoperative follow-up plan(including follow-up content,methods,and timing).It is hoped that this will serve as a reference for physicians involved in RDN clinical work,standardize diagnostic and therapeutic behaviors,and promote the standardized,precise,and sustainable development of the RDN discipline.

Aim To investigate the role and underlying mechanisms of transient receptor potential cation chan-nel 6(TRPC6)in epileptogenesis using a kainic acid(KA)-induced mouse model.Methods C57BL/6 and TRPC6-KO(KO)mice were divided into two groups and implanted with cannulas for microinjection of KA(0.03 g·L-1,5 μL)into the lateral ventricle to establish the acute epilepsy model group,with saline injection serving as the control group.The Racine score was used to record the uninterrupted seizure grade of mice within two hours after KA administration.Immunohistochemistry was used to detect neuronal loss and tissue damage in the hippocampus brain region of mice.Immunofluorescence staining,Western blot and qPCR were used to detect the expressions of TRPC6,NLRP3,ASC,Caspase-1,p62,Atg7,Atg5,Beclin-1,LC3b-Ⅱ/LC3b-Ⅰ.in the hippocampus.Results KA induced significant neuronal loss and tissue damage in the hippocampal CA3 brain region of epilep-sy mice,while the expression levels of TRPC6,NL-RP3,ASC and Caspase-1 and other proteins in the hippocampus brain area of epilepsy mice increased,and the protein expression of autophagy-related proteins Atg7,Atg5,Beclin-1,LC3b-Ⅱ/LC3b-Ⅰ increased,while the expression of p62 protein decreased.TRPC6 knockout exacerbated KA-induced epileptogenesis,neuronal injury,inflammatory response and autophagy activation.Conclusion TRPC6 is involved in KA-in-duced epileptigenesis,and the mechanism may be re-lated to the activation of NLRP3 inflammasome-autoph-agy signaling caused by TRPC6 deletion.

Objective To investigate the correlation between different diabetes mellitus(DM)subtypes and the inci-dence of glaucoma through bidirectional Mendelian randomization(MR)analysis.Methods Based on a bidirectional MR analysis framework,the highly correlated single nucleotide polymorphism(SNP)was selected from the genome-wide asso-ciation study(GWAS)data as the instrumental variable(Ⅳ)for three DM subtypes[including type 1 diabetes mellitus(T1DM),type 2 diabetes mellitus(T2DM),and gestational diabetes mellitus(GDM)]and glaucoma to analyze the bidi-rectional causal relationship between different DM subtypes and glaucoma.Besides,the MR-Egger method,weighted medi-an method,inverse-variance weighted method,simple random model,and weighted mode method were adopted to conduct a comprehensive analysis,and the obtained results were subjected to sensitivity analyses.Results The bidirectional MR analysis results revealed no causal association between T1DM and glaucoma.The forward MR analysis results indicated that T2DM may promote the development of glaucoma(IVW:OR=1.09,95％CI:1.05～1.14),while the development of glau-coma did not increase the risk of T2DM.Meanwhile,the multivariable MR analysis results showed that T2DM might be a potential risk factor for the development of glaucoma.The forward MR analysis results demonstrated that GDM did not in-crease the incidence of glaucoma;whereas the reverse MR analysis results suggested that glaucoma might increase the sus-ceptibility to GDM(IVW:OR=1.11,95％CI:1.02～1.21).The sensitivity analysis results confirmed the stability and relia-bility of these findings.Conclusion T2DM may contribute to the development of glaucoma,and patients with glaucoma may exhibit heightened susceptibility to GDM during pregnancy.

Objective To identify the key factors affecting the risk of medical surges and their coupling relation5 ships,providing strategic support for medical institutions to optimize risk management and emergency governance.Methods 17 influencing factors were determined based on WSR theory,and an expert scoring method was employed to assess the impact strength among the factors.The DEMATEL method was applied to calculate the centrality,cau5 sality,influence,and being influenced degrees of the influencing factors.The ISM method was used to construct a hierarchical structure of the influencing factors related to medical surge risks,thereby revealing the connections and interaction mechanisms among these factors.Results Seven critical influencing factors were identified,including the crisis decision-making capacity and leadership effectiveness of emergency managers,the completeness of the emer5 gency system and dynamic execution capabilities,and the cross-departmental coordination mechanism and com5 mand collaboration efficiency.Deep driving factors and coupling pathways were also revealed.Conclusion The risk of medical surges exhibits multi-factorial coupling cascade effects;attention should be directed towards the construc5 tion of mid-to-deep level mechanisms such as information systems,institutional frameworks,and organizational management,to enhance targeted capabilities and systemic resilience in risk governance.

Objective Exploring the components of complex scenarios of healthcare surges triggered by major epidemics to provide a theorical basis for building resilience in healthcare organizations.Methods A hybrid analysis method is used to summarize macro-meso-micro multi-level and multi-source heterogeneous information,extract the elements of complex scenarios of medical surge and evaluate the rationality.Fault Tree Analysis method is used to clarify the logical relationship between various scenario elements and construct scenario reasoning paths.Results 10 scenario states,11 disaster-bearing,24 emergency management and 23 scenario results are summarized and extracted to form the key elements of complex surge scenarios.Among them,M4 expansion and coordinated scheduling of key positions,B2 conventional drug inventory emergency/insufficient core treatment drugs,B emergency medical material transportation breakage,S3 disease symptom spectrum shift to severe disease,R13 prevention and control awareness laxity,and M5 media information dissemination management are the key driving factors that promote a major turning point in the scenario.The most positive scenario result is the orderly operation of the medical service system,and the most negative scenario result is the paralysis of the medical service system.Conclusion Medical institutions need to improve emergency plans based on the complex evolution scenarios of medical surges and agile governance capabilities targeting key turning points,focus on dynamically expanding and scheduling personnel in key positions,strengthen material rotation and reserve mechanisms,maintain smooth emergency logistics channels,and improve efficient management of media and public opinion,so as to comprehensively improve overall resilience.

Objective To explore the coupling mechanism between medical surge response resources and the spread of secondary risks during public health emergencies,as well as the effectiveness of relevant interventions.Methods Based on complex network theory,a dual-layer network model of medical resources and secondary events was constructed.The interactive feedback between medical resource status and secondary event risk,as well as the effects of network structure,were analyzed through MATLAB simulations,REPAST agent-based modeling,and mean-field analysis.Results Simulation and prediction results show that an increase in first-layer resource-deficient nodes significantly raises the activation rate and transmission speed of secondary events,while the clustering and spread of secondary events in the second layer,in turn,intensify resource depletion,creating a negative feedback loop.Mean-field analysis indicates a nonlinear positive correlation between the adequacy of medical resources and the likelihood of secondary events.Network structure analysis reveals that when the average node degree exceeds 8,resource allocation efficiency improves markedly.Conclusion There exists a dynamic coupling and bidirectional feedback relationship between medical resource status and secondary event risks.Enhancing the flexible allocation and responsiveness of medical resources,improving multi-sectoral collaborative monitoring and coordinated regulation,optimizing network connectivity and coordination mechanisms for resource distribution,and establishing dynamic monitoring and tiered early warning systems are key strategies for strengthening the resilience of healthcare systems and effectively containing the spread of secondary events.

Objective To define the conceptual connotation of network dynamic collaboration capacity in medical surge response and construct its theoretical model.Methods A mixed concept analysis method was employed,integrating multidisciplinary literature and collecting empirical evidence through semi-structured expert interviews to extract the concept of network dynamic collaboration capacity in medical surge response.By integrating complex systems,network science,synergetics,and dynamic capability theory,and combining the interview results,the study used the analogy of flood control in hydraulic engineering to develop a"network-dynamic-collaboration"triangular capacity theoretical model.Results It reveals one antecedents(sudden external shocks have led to an abnormal and continuous surge in medical demand),six core attributes(information interconnection accessibility,dynamic resource adaptability,risk perception responsiveness,multi-party collaborative interactivity,service process adaptability elasticity,and learning iterative evolution),and four consequences(mitigation of crowding risk,protection of service continuity,minimization of crisis spillover,and enhancement of system resilience)for the network dynamic collaboration capacity in medical surge response.The theoretical model elucidates the coupling mechanisms among network structural resilience,dynamic regulation processes,and collaborative co-evolution in resisting medical surge.Conclusion The new concept and theoretical model proposed in this study deepen the understanding of medical surge response system mechanisms and offer a theoretical framework and practical guidance for strengthening the full-chain resilience of health emergency systems.

Objective To empirically analyze multiple pathways for enhancing medical surge response capacity and provide useful references for improving the resilience of health systems.Methods A comprehensive theoretical analysis framework for improving medical surge response capacity was constructed based on the 4S theory and collaborative governance theory.68 interview texts on medical surge response capacity conducted in July 2024 were selected as analysis samples.Using fuzzy-set Qualitative Comparative Analysis(fsQCA),7 conditional variables were selected from four dimensions:management system,information system,materials,and personnel to analyze their impact on medical surge response capacity.Results(1)A single conditional variable does not constitute a necessary condition for improving medical surge response capacity;(2)After the combination of conditions,8 specific configuration paths for capacity improvement were identified.Through systematic and comprehensive refinement,they were summarized into three modes of comprehensive configuration capacity improvement paths,namely:rapid response and collaborative operation mode,information empowerment and precise response mode,and resource conditions and resilience construction mode.Conclusion It is necessary to explore and construct systematic,combined,modularized and path-oriented capacity building strategies,refine the operational implementation paths for improving China's medical surge response capacity,target the linkage and configuration modes of different conditional variables,promote the formulation and implementation of modular construction schemes oriented by key capacity,and make efforts from multiple aspects to enhance the resilience of the health system.