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 provide a scientific basis for the quality evaluation and clinical application of Qingwen hufei granules. METHODS Fourteen batches of Qingwen hufei granules were used as samples to establish high-performance liquid chromatography （HPLC） fingerprints using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （2012 Edition）. The chromatographic peaks were identified and the similarity was evaluated. Cluster analysis （CA）， principal component analysis （PCA）， and orthogonal partial least squares-discriminant analysis （OPLS-DA） were used to conduct chemical pattern recognition analysis on the 14 batches of samples. Meanwhile， the contents of neochlorogenic acid （NGA）， chlorogenic acid （CHA）， cryptochlorogenic acid （CGA）， forsythoside A （FTA）， 3，5-O-dicaffeoylquinic acid （3，5-O- DA）， 4，5-O-dicaffeoylquinic acid （4，5-O-DA）， and angoroside C （AGC） in the samples were determined by HPLC. RESULTS The methodological investigation results of both the fingerprint and the content determination complied with the relevant requirements. Fourteen common peaks were indicated in the HPLC fingerprints of the 14 batches of samples， and 7 of them were identified [NGA （peak 2）， CHA （peak 3）， CGA （peak 5）， FTA （peak 11）， 3，5-O-DA （peak 12）， 4，5-O-DA （peak 13）， and AGC （peak 14）]； the similarity of each sample was greater than 0.94. The results of CA and PCA showed that the samples could be classified into 3 categories； the results of OPLS-DA indicated that peak 4 （unknown）， peak 11 （FTA）， peak 8 （unknown）， peak 9 （unknown）， and peak 1 （unknown） were the differential components. The content ranges of NGA， CHA， CGA， 3，5-O-DA， FTA， 4，5-O-DA and AGC in the 14 batches of samples were 0.210 4-0.458 7， 0.269 1-0.506 3， 0.228 1-0.461 1， 0.443 9-1.044 6， 0.066 7-0.155 7， 0.062 8-0.143 8， and 0.057 4-0.105 7 mg/g， respectively. CONCLUSIONS The HPLC fingerprint and multi-component content determination methods established in this study are efficient and reliable， and can be used for the quality evaluation of Qingwen hufei granules.

BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95％Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2％and a specificity of 87.6％,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1％to 92％,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.

BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95％Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2％and a specificity of 87.6％,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1％to 92％,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.

The Chinese Pharmacopoeia is the legal technical standard which should be followed during the research, production, use, and administration of drugs. At present, the new edition of the Chinese Pharmacopoeia is planned to be promulgated and implemented. This article summarizes and analyzes the main characteristics and the content of updates and amendments of the Chinese Pharmacopoeia 2025 Edition(Volume Ⅰ), to provide a reference for the correct understanding and accurate implementation the new edition of the pharmacopoeia.

The Chinese Pharmacopoeia is the legal technical standard which should be followed during the research,production,use,and administration of drugs.At present,the new edition of the Chinese Pharmacopoeia is planned to be promulgated and implemented.This article summarizes and analyzes the main characteristics and the content of updates and amendments of the Chinese Pharmacopoeia 2025 Edition(Volume Ⅰ),to provide a reference for the correct understanding and accurate implementation the new edition of the pharmacopoeia.

Objective To evaluate the efficacy and safety of high-power,short-duration radiofrequency catheter ablation for the treatment of persistent atrial fibrillation.Methods This retrospective study included 392 patients diagnosed with persistent atrial fibrillation who underwent catheter radiofrequency ablation at Suzhou Kowloon Hospital,Shanghai Jiao Tong University School of Medicine,from January 2019 to December 2023.Of these,256 patients were treated with high-power,short-duration ablation,and 136 patients with low-power,long-duration ablation.The following parameters were compared:radiofrequency ablation time,total procedure time,single-circle pulmonary vein isolation rate,immediate procedural success rate,number of ablation points,and perioperative complications(including pericardial tamponade,pseudoaneurysm,arteriovenous fistula,stroke,etc.).Follow-up assessments were conducted at 3,6,and 12 months post-surgery to evaluate the 12-month sinus rhythm maintenance rate.Results The ablation time in the high-power group was significantly shorter than that in the low-power group[(14.6±2.3)min vs.(30.3±4.2)min,P＜0.001],as was the total procedure time[(113.8±24.8)min vs.(128.5±26.7)min,P=0.001].There were no significant differences between the two groups in terms of pulmonary vein isolation rate(97.7％vs.94.9％,P=0.823),number of ablation points[(71.2±8.0)vs.(74.3±14.3),P=0.168],or perioperative complications(3.1％vs.4.4％,P=0.571).Regarding the maintenance rate of sinus rhythm at 12 months post-operation,the high-power group showed a higher rate than the low-power group,but no statistically significant difference was observed(82.8％vs.79.4％,P=0.399).Conclusions High-power,short-duration radiofrequency catheter ablation can improve procedural efficiency in the treatment of persistent atrial fibrillation.Its efficacy and safety are similar to those of the low-power,long-duration technique.

Objective To investigate plasma protein expression changes in heatstroke patients using proteomics technology and to identify reliable prognostic biomarkers.Methods A retrospective analysis was conducted on 20 heatstroke patients hospitalized at the 908th Hospital of the Chinese PLA Joint Logistics Support Force from July 2022 to February 2024.Patients were divided into survival(n=16)and death groups(n=4)based on 28-day outcomes.Fasting venous blood samples were collected from both groups for proteomic analysis.Liquid chromatography-mass spectrometry(LC-MS/MS)was used to identify and screen differentially expressed proteins.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)enrichment analyses were performed.LASSO regression was applied to screen key prognostic biomarkers,and receiver operating characteristic(ROC)curve analysis was used to evaluate their predictive value.Results A total of 27 upregulated and 90 downregulated proteins were identified between the two groups.These proteins were primarily involved in biological processes such as immune responses,complement activation,and metabolic processes.LASSO regression analysis indicated that actin-related protein 2(ARP2),cysteine-rich scavenger receptor type 1 M130(CD163),and catalase(CAT)could serve as effective biomarkers for evaluating heatstroke prognosis.ROC curve analysis demonstrated that ARP2 had higher diagnostic efficacy(AUC=0.98,sensitivity=0.80,specificity=1.00)compared to CD163(AUC=0.94,sensitivity=0.76,specificity=1.00),CAT(AUC=0.96,sensitivity=0.67,specificity=1.00),and acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score(AUC=0.79,sensitivity=0.44,specificity=1.00).Conclusion Elevated plasma ARP2 level has good clinical value for predicting poor prognosis in heatstroke patients.

Objective To observe the efficacy of self-made auxiliary reduction device combined with sinus tarsi approach(STA)in the treatment of Sanders type Ⅱ to Ⅳ calcaneal fractures.Methods A total of 40 patients with Sanders type Ⅱ to Ⅳ calcaneal fractures admitted to our hospital from January to June 2023 were selected and divided into the control group and the observation group by the random number table method,with 20 cases in each group.Patients in the control group underwent surgical treatment with the heel extensile lateral approach(ELA),while patients in the observation group underwent surgical treatment with the auxiliary reduction device combined with STA.The surgical-related indicators,postoperative complications and ankle-foot anatomical indicators of patients in the two groups were compared.The recovery of limb function was evaluated by the American Orthopaedic Foot and Ankle Society(AOFAS)ankle-hindfoot scale and Maryland foot function score.Results There was no statistically significant difference in the operation time,postoperative incision drying time,or duration of postoperative pain between the two groups(P>0.05).The postoperative suture removal time of the patients in the observation group was shorter than that of the control group,and the difference was statistically significant(P<0.05).The incidence of skin edge necrosis of incision and the total incidence of complications of patients in the observation group were significantly lower than those in the control group(P<0.05).The B?hler angle and Gissane angle of patients in both groups increased after surgery compared with those before surgery(P<0.05);there was no statistically significant difference in the B?hler angle or Gissane angle after surgery of patients between the two groups(P>0.05).The AOFAS score1 week after surgery of the patients in the observation group was higher than that in the control group(P<0.05),while there were no statistically significant differences in the AOFAS scores or Maryland scores of patients at other time points between the two groups(P>0.05).Conclusion The use of the auxiliary reduction device in surgical treatment with STA for Sanders type Ⅱ to Ⅳ calcaneal fractures can effectively restore the function of the foot and ankle,with short postoperative suture removal time and low incidence of postoperative complications.

Objective To analyze the changes of neutrophil-to-albumin ratio(NPAR),monocyte-to-lymphocyte ratio(MLR),neutrophil-to-lymphocyte ratio(NLR)and interleukin-17A(IL-17A)in patients with severe autoimmune encephalitis(AE)and the predictive value of their combined detection for prognosis.Methods A total of 105 patients with severe AE admitted from May 2021 to April 2025 were selected as the severe group.During the same period,35 patients with mild-to-moderate AE and 35 healthy controls were enrolled in a 3:1:1 ratio as the mild-to-moderate group and control group respectively.The levels of NPAR,MLR,NLR and IL-17A were compared among the three groups.Patients with severe AE were observed for one month.According to the prognosis of patients,they were divided into poor prognosis subgroup[modified Rankin scale(mRS)score≥3,n=31]and good prognosis subgroup(mRS score<3,n=74).The levels of NPAR,MLR,NLR and IL-17A in the two groups were compared,to analyze the correlation between NPAR,MLR,NLR and IL-17A levels and mRS score in patients with severe AE,and to evaluate the predictive value of combined detection of the four indicators for prognosis in these patients.Results The levels of NPAR,MLR,NLR and serum IL-17A in mild-to-moderate group and severe group were higher than those in control group,which were higher in the severe group than in the mild-to-moderate group(P<0.05).The course of disease in the poor prognosis group was longer than that in the good prognosis group,and the proportion of patients with γ-aminobutyric acid B receptor antibody and the levels of NPAR,MLR,NLR and serum IL-17A were higher than those in the good prognosis group(P<0.05).Higher levels of NPAR,MLR,NLR and serum IL-17A were all risk factors for poor prognosis of patients with severe AE(OR=2.445,4.319,2.502,1.791,P<0.05).The levels of NPAR,MLR,NLR and serum IL-17A were positively correlated with the mRS score of patients with severe AE(r=0.546,0.519,0.554,0.561,P<0.001).The area under the receiver operating characteristic(ROC)curve(AUC)of NPAR,MLR,NLR and IL-17A detected in combination in predicting the prognosis of patients with severe AE was higher than that of the four indicators detected alone(P<0.05).Conclusion The changes in NPAR,MLR,NLR and IL-17A levels in patients with AE were closely related to the severity and prognosis of the disease.In the meantime,higher levels of NPAR,MLR,NLR and serum IL-17A were risk factors for poor prognosis,and the combined detection of the four indicators could effectively improve the predictive value for prognosis in patients with severe AE.