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.

Aim To investigate the expression of or-ganic anion transporting polypeptide 4C1(Oatp4c1)-P-glycoprotein(P-gp)in the kidneys of obese mice in-duced by high-fat diet(HFD),and its impact on the pharmacokinetic changes of digoxin.Methods C57BL/6 mice were randomly divided into the Chow group and the HFD group.Body weight and blood glu-cose were recorded weekly.After successful model es-tablishment,digoxin was intraperitoneally injected,and blood was collected at different time points.Part of the blood samples was used for LC-MS/MS detection,and the other part was used for the detection of other bio-chemical indicators.After 16 weeks,the organs were removed and weighed.HE and immunohistochemical staining was used to observe the renal pathology and the expression of Villin,a marker of proximal tubules.Western blot and qPCR were combined to detect the expression of Villin,Oatp4c1 and P-gp.Results In the HFD group,body weight and blood glucose in-creased significantly.The blood concentration of digox-in rose,the area under the curve increased,and the half-life was prolonged.The proximal tubular epithelial cells shed,and the protein expression of Villin,Oatp4c1 and P-gp decreased significantly.Conclu-sions The down-regulation of Oatp4c1-P-gp expres-sion in the kidneys of HFD mice leads to an increase in the blood concentration of digoxin and a decrease in re-nal clearance.

Objective:Observation of the therapeutic effect of Yugu Ju detergent combined with fusidic acid cream on the repair of wounds infected with Staphylococcus aureus,as well as its impact on serum inflammatory markers TNF-α,IL-6,IL-1β,oxidative stress markers MDA,ROS,SOD and Nrf2 levels.Methods:96 patients with skin defects and SA U infection caused by trauma admitted to the hospital from June 2021 to December 2023 were randomly divided into a control group and an observation group.Both groups were treated with debridement,while the control group was treated with external application of fusidic acid cream.The treatment group received external washing with Yugu Ju detergent in addition to the control group.One course of treatment lasted for 7 days,with three consecutive courses of treatment.Observe the wound healing rate,bacterial clearance rate,and changes in TNF-α,IL-6,IL-1β,SOD,MDA,ROS,and Nrf2 before and after treatment to evaluate clinical efficacy and safety.Results:The total clinical effective rate of the observation group after treatment was 93.75％(45/48),while that of the control group was 75％(36/48).The observation group was significantly better than the control group(P＜0.05);The wound healing rate and bacterial clearance rate of the observation group at each time point after treatment were higher than those of the control group(P＜0.05);After treatment,the Nrf2 and SOD values in the observation group were higher than those in the control group,while the TNF-α,IL-6,IL-1β,MDA,and ROS values were lower than those in the control group(P＜0.05).No adverse reactions occurred during the treatment of both groups.Conclusion:The combination of Yugu Ju detergent and Fusidic acid cream can inhibit SA U and promote the healing of infectious wounds,which may be related to the activation of Nrf2 expression to inhibit oxidative stress and inflammatory response.It is safe and effective,and worthy of promotion and application.

Objective:Observation of the therapeutic effect of Yugu Ju detergent combined with fusidic acid cream on the repair of wounds infected with Staphylococcus aureus,as well as its impact on serum inflammatory markers TNF-α,IL-6,IL-1β,oxidative stress markers MDA,ROS,SOD and Nrf2 levels.Methods:96 patients with skin defects and SA U infection caused by trauma admitted to the hospital from June 2021 to December 2023 were randomly divided into a control group and an observation group.Both groups were treated with debridement,while the control group was treated with external application of fusidic acid cream.The treatment group received external washing with Yugu Ju detergent in addition to the control group.One course of treatment lasted for 7 days,with three consecutive courses of treatment.Observe the wound healing rate,bacterial clearance rate,and changes in TNF-α,IL-6,IL-1β,SOD,MDA,ROS,and Nrf2 before and after treatment to evaluate clinical efficacy and safety.Results:The total clinical effective rate of the observation group after treatment was 93.75％(45/48),while that of the control group was 75％(36/48).The observation group was significantly better than the control group(P＜0.05);The wound healing rate and bacterial clearance rate of the observation group at each time point after treatment were higher than those of the control group(P＜0.05);After treatment,the Nrf2 and SOD values in the observation group were higher than those in the control group,while the TNF-α,IL-6,IL-1β,MDA,and ROS values were lower than those in the control group(P＜0.05).No adverse reactions occurred during the treatment of both groups.Conclusion:The combination of Yugu Ju detergent and Fusidic acid cream can inhibit SA U and promote the healing of infectious wounds,which may be related to the activation of Nrf2 expression to inhibit oxidative stress and inflammatory response.It is safe and effective,and worthy of promotion and application.

Objective To establish a stable,reliable,and clinically relevant porcine model of endotoxin-induced acute respiratory distress syndrome(ARDS).Methods Ten 8-month-old male Bama minipigs were deeply sedated,followed by invasive mechanical ventilation and electrocardiographic monitoring.Lipopolysaccharide(LPS)was intravenously pumped at 600 μg/(kg·h)for 3 hours,then maintained at 15 μg/(kg·h)thereafter.Dynamic monitoring was performed at five time points after LPS injection(LPS 0,1,3,5,and 8 h),including arterial blood gas analysis and chest computed tomography(CT)scans.Pathological examination of lung tissues obtained via bronchoscopic biopsy(HE staining and transmission electron microscopy)was conducted.These indicators were comprehensively used to evaluate the success of the animal model.Results At 5 hours after LPS administration,8 minipigs developed symptoms such as skin cyanosis,elevated body temperature,and respiratory distress.The oxygenation index decreased to<300 mmHg.Chest CT scans showed diffuse pulmonary infiltrates.Histopathology revealed alveolar edema and hyaline membrane formation.Transmission electron microscopy demonstrated disruption of pulmonary blood-air barrier,depletion of lamellar bodies in type Ⅱ pneumocytes,inflammatory cell infiltration,and exudation of plasma proteins and fibrin.Compared with LPS 0 h,at LPS 8 h,the oxygenation index and arterial blood pH were significantly decreased(P<0.001),while blood lactic acid and serum potassium were significantly increased(P<0.05);serum calcium and base excess were significantly decreased(P<0.05),and the lung injury score based on HE-stained lung sections was significantly increased(P<0.01).Conclusion The porcine ARDS model established by continuous LPS injection can dynamically simulate the pathophysiological characteristics and typical pathological manifestations of clinical septic ARDS,making it an effective tool to study the pathogenesis,prevention,and treatment strategies of septic ARDS.

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

Degenerative cervical myelopathy(DCM)is a group of diseases caused by cervical spine degeneration that compresses the spinal cord.It is a major cause of spinal cord dysfunction in adults,and its incidence is increasing globally.In the late stage,DCM could lead to paralysis due to spinal cord injury,which makes rapid,effective,and accurate medical diagnosis clinically significant.Deep learning(DL)technology can assist physicians in the rapid and accurate diagnosis of DCM by analyzing and processing a large amount of imaging data to extract features of the affected regions.In recent years,DL algorithm models have been leveraged for DCM-related research,which has become a focal point of intelligent medical development.In this review,domestic and international literature is surveyed,and the research progress and application of DL technology in the auxiliary diagnosis and prognosis evaluation of DCM are systematically summarized,aiming to provide a reference for intelligent diagnosis in clinical practice.

The phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin(PI3K/Akt/mTOR)signaling pathway plays a crucial role in the regulation of renal fibrosis by participating in inflammatory response,oxidative stress and autophagy.Paeoniflorin exhibits remarkable efficacy in treating myocardial and liver fibrosis.This article provides a comprehensive review on the research progress of paeoniflora in preventing and treating renal fibrosis through modulation of the PI3K/Akt/mTOR signaling pathway,offering novel insights for traditional Chinese medicine-based approaches to prevent and treat renal fibrosis.

Objective:To investigate the feasibility of daily laparoscopic appendectomy for acute appendicitis in college students and establish a predictive model of the nomogram.Methods:A prospective analysis was performed on 82 college students with acute appendicitis who were admitted to hospital continuously from December 2023 to De-cember 2024.All patients received laparoscopic appendectomy and accelerated rehabilitation surgical measures combin-ing traditional Chinese and Western medicine,and were divided into two groups according to whether the daytime op-eration mode was achieved.Multivariate Logistic regression analysis was used to screen the independent influencing factors for achieving the day surgery model,and the prediction model was constructed,evaluated and verified.Results:Of the 82 patients,46(56%)achieved the daytime operation mode,the mean length of hospitalization was(41.37±6.33)h,and no serious complications were observed 30 days after surgery.The independent influencing factors for achieving this model were CRP≤13.9 mg/L,abdominal pain time≤22 h,appendix diameter≤10 mm,no drainage tube placed,and postoperative VAS score≤2.5(all P<0.05).The area under the curve of the prediction model was 0.905(95%CI:0.845～0.966),and the calibration chart indicated that the predicted probability of the model was in good agreement with the ac-tual probability,and the decision curve showed good clinical benefit.Conclusion:It is safe and feasible for college stu-dents to receive day surgery mode of laparoscopic appendectomy.The created nomogram model has good predictive ability,which can identify eligible patients as early as possible,and take timely intervention measures to improve the achievement rate.

support the diagnosis.The treatment of PHCC is mainly based on surgery.Due to the characteristics of intact capsule,surgical resection is relatively easy and the cure rate is higher than that of ordinary hepatocellular carcinoma,and the postoperative survival rate is relatively ideal.For unresectable PHCC,palliative treatment based on transcatheter arterial chemoembolization can be used.This article reviews the progress on diagnosis and treatment of PHCC in order to provide reference for clinical practice.