Intervertebral disc degeneration (IDD) is largely attributed to impaired endogenous repair. Nucleus pulposus-derived stem cells (NPSCs) senescence leads to endogenous repair failure. Small extracellular vesicles/exosomes derived from mesenchymal stem cells (mExo) have shown great therapeutic potential in IDD, while whether mExo could alleviate NPSCs senescence and its mechanisms remained unknown. We established a compression-induced NPSCs senescence model and rat IDD models to evaluate the therapeutic efficiency of mExo and investigate the mechanisms. We found that mExo significantly alleviated NPSCs senescence and promoted disc regeneration while knocking down thioredoxin (TXN) impaired the protective effects of mExo. TXN was bound to various endosomal sorting complex required for transport (ESCRT) proteins. Autocrine motility factor receptor (AMFR) mediated TXN K63 ubiquitination to promote the binding of TXN on ESCRT proteins and sorting of TXN into mExo. Knocking down exosomal TXN inhibited the transcriptional activity of nuclear factor erythroid 2-related factor 2 (NRF2) and activator protein 1 (AP-1). NRF2 and AP-1 inhibition reduced endogenous TXN production that was promoted by exosomal TXN. Inhibition of NRF2 in vivo diminished the anti-senescence and regenerative effects of mExo. Conclusively, AMFR-mediated TXN ubiquitination promoted the sorting of TXN into mExo, allowing exosomal TXN to promote endogenous TXN production in NPSCs via TXN/NRF2/AP-1 feed-forward circuit to alleviate NPSCs senescence and disc degeneration.

Objective:To analyze the clinical characteristics and gene mutations of 4 patients with the male phenotype of 17α-hydroxylase /17, 20-lyase deficiency(17-OHD), in order to improve the recognition and appropriate management of atypical cases.Methods:A retrospective analysis was performed on the clinical features, biochemical findings, and gene mutations of 4 patients with the male phenotype of 17-OHD treated in our hospital between 2018 and 2023.Results:The social gender of all 4 patients with 17-OHD was male. None of the 4 patients had hypertension or hypokalemia, but all had micropenis and gynecomastia. Two patients had adrenal hyperplasia, while adrenal morphology was normal in the other two. One patient had decreased bone mass. There were typical changes in the steroid synthesis-related hormone spectrum: progesterone was significantly elevated in all 4 patients, 17-hydroxyprogesterone was not markedly abnormal, cortisol, dehydroepiandrosterone sulfate(DHEAS) and estradiol levels were low, and testosterone levels were also low.Conclusion:17-OHD is a rare type of congenital adrenal hyperplasia, with the male phenotype being even rarer. Early symptoms are often atypical, resulting in high rates of misdiagnosis and missed diagnosis. Patients without hypertension and hypokalemia are particularly prone to diagnostic confusion. Male patients with unexplained progesterone elevation, poor secondary sexual development, and gynecomastia should undergo timely steroid hormone profiling and genetic testing to avoid misdiagnosis and missed diagnosis.

Objective:To investigate the clinical and pathological characteristics, prognostic factors, and treatment outcomes of bladder adenocarcinoma.Methods:The data of 177 bladder adenocarcinoma patients treated at Renji Hospital, Shanghai Jiaotong University School of Medicine from January 2003 to December 2023, and 2 687 bladder adenocarcinoma patients from the SEER database (2000—2021) were reviewed retrospectively. The clinicopathological and prognostic characteristics were compared between the two cohorts. Patients with urachal adenocarcinoma or primary bladder adenocarcinoma were included, while metastatic bladder adenocarcinoma from other sites and urothelial carcinoma with glandular components were excluded. The Chi-square test was used for comparison of categorical data, and propensity score matching (1∶1) was applied to match baseline data between the Renji and SEER cohorts. Kaplan-Meier survival curves were generated, and log-rank tests were used for comparisons. Univariate and multivariate Cox regression analyses were performed using the survival R package, with P-values calculated via Wald tests. Results:The proportion of localized bladder adenocarcinoma was significantly higher in the Renji cohort than in the SEER cohort [61.0% (108/177) vs. 19.4% (521/2 687), P<0.001], and mucinous adenocarcinoma was more common in Renji cohort [33.3% (59/177) vs. 22.6% (607/2 687), P<0.001]. After matching for baseline factors, including SEER stage and pathological grade, survival analysis revealed that the Renji cohort patients had slightly better survival compared to the SEER cohort [median survival: 55.4 (24.1, 196.2) months vs. 39.2 (13.6, 137.4)months, P=0.033]. Multivariate Cox analysis identified SEER stage [Renji cohort: HR=3.83 (95% CI 1.62-9.07), P=0.002; SEER cohort: HR=3.67 (95% CI 3.13-4.31), P<0.001] and pathological grade [Renji cohort: HR = 2.76 (95% CI 1.54-4.95), P=0.001; SEER cohort: HR=1.46 (95% CI 1.29-1.65), P<0.001] as independent prognostic factors. In the Renji cohort, no significant differences were observed in the median progression-free survival [40.1 (19.5, 91.6) months vs. 40.9 (12.8, not reached)months, P=0.976] and overall survival [79.3 (37.1, 195.8) months vs. 53.9 (16.4, 129.5)months, P=0.374] between patients receiving adjuvant chemotherapy and those not receiving it. However, among patients with lymph node-positive bladder adenocarcinoma, adjuvant chemotherapy significantly improved both progression-free survival [40.1 (38.2, 75.4) months vs. 12.2 (3.1, 12.2)months, P=0.004] and overall survival [68.2 (46.2, 84.5)months vs. 28.1 (4.3, 28.3)months, P=0.006]. Conclusions:Bladder adenocarcinoma is rare and associated with poor prognosis. Compared to the SEER cohort, Renji cohort patients had more localized disease, with no significant differences in other features. SEER stage and pathological grade were independent prognostic factors in both cohorts. Lymph node-positive bladder adenocarcinoma patients in the Renji cohort benefited significantly from adjuvant chemotherapy.

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.

AIM:To investigate the protective ef-fect of osthole(Ost)on APAP-induced liver injury in mice and its molecular mechanism.METHODS:We established the APAP-induced liver injury model in mice,and Ost was used to intervene.The expres-sion of AST,ALT,SOD,ROS,MDA,LDH,GSH-PX in mice plasma were detected by biochemical meth-od.HE staining was used to observe the changes of liver tissue structure.Immunofluorescence assay was used to detect the expression of Tif1γ and Smad4 in liver tissue.The mRNA expression of IL-1β,IL-6,TNF-α,Smad4,and Tif1γ were detected by qRT-PCR.Western blot was applied to assess the protein expression of Smad2/3 and pSmad2/3 in liver tissue.RESULTS:Compared with the control group,the liver structure destruction and hepato-cyte death was increased,ALT,AST,ROS,MDA and LDH were increased,while SOD and GSH-PX were decreased,and the mRNA expressions of IL-1β,IL-6 and TNF-α were increased in the model group.Compared with the model group,the Ost interven-tion group had improved liver structure and de-creased liver cell death;decreased ALT,AST,ROS,MDA and LDH,increased SOD and GSH-PX,and de-creased expression of IL-1β,IL-6 and TNF-α mRNA.Compared with the control group,liver tissues of model mice showed increased expression of pS-mad2/3,Smad4 protein and Smad4 mRNA,and de-creased Tif1γ protein and mRNA.Compared with the model group,the liver tissues of the Ost inter-vention group showed decreased expression of pS-mad2/3,Smad4 protein and Smad4 mRNA,and in-creased expression of Tif1γ protein and mRNA.CONCLUSION:Ost can improve liver function,re-duce oxidative stress and inflammatory reaction,and protect hepatocyte damage induced by APAP in mice,which may be related to the up-regulation of Tif1γ and inhibition of TGF-β1/Smad signaling pathway.