The disease-syndrome combination model of spleen deficiency with dampness pattern in ulcerative colitis（SDDP-UC） is an important experimental carrier for traditional Chinese medicine （TCM） research on the prevention and treatment of ulcerative colitis （UC）， and the quality of model construction and evaluation directly influences the scientific rigor and translational value of related research conclusions. However， this field still lacks methodological synthesis and a standardized consensus. Based on a comprehensive review of existing literature， this paper summarized isomorphic cues between the spleen deficiency with dampness pattern and UC across four dimensions， including energy metabolism， immune homeostasis， mucosal barrier， and intestinal microecology. The cues were mainly involved in impaired mitochondrial energy supply and glucose metabolic reprogramming， a lowered pro-inflammatory threshold of innate immunity with insufficient adaptive immune regulation， disruption of epithelial barrier gating accompanied by compromised repair capacity， and attenuation of the luminal hypoxia barrier with accumulation of toxic metabolites. A mutually reinforcing process between local "form damage" and systemic "Qi depletion" was further interpreted from a holistic perspective. Regarding modeling strategies， existing studies predominantly use rats as the carrier， apply combined interventions such as improper diet， external damp exposure， and fatigue-related dysregulation to establish the spleen deficiency with dampness pattern background， and subsequently superimpose chemical stimulation to induce UC-like colonic damage， with a total modeling period generally spanning three to four weeks. In terms of the evaluation system， a multidimensional framework integrating syndrome assessment， histopathology， mechanistic indices， and pharmacodynamic counter-verification was outlined. On this basis， current methodological bottlenecks of models were systematically identified， including syndrome drift risk and compounded stress dilemma in temporal sequencing， syndrome confounding from etiological simulation， cross-sectional evaluation bias related to modeling duration， inadequate disease-syndrome linkage and control design within the evaluation system， and limited controls with overly single-track decision logic in formula-based syndrome verification. To address the above issues， a construction and evaluation strategy emphasizing streamlining of core etiological factors， multi-node dynamic monitoring， integration of core disease-syndrome indicator clusters， and establishment of a formula-based syndrome verification system was proposed， providing a reference for the standardized construction and scientific evaluation of the SDDP-UC model.

Objective: To investigate factors influencing perioperative blood transfusion in patients with scarred uterus during pregnancy undergoing cesarean section, construct and validate a transfusion risk prediction model, and provide evidence for preoperative assessment and blood management. Methods: Clinical data of 405 patients undergoing cesarean section for scarred uterus during pregnancy at the First Affiliated Hospital of Xi'an Jiaotong University from January 2020 to December 2024 were retrospectively collected. The dataset was randomly divided into a training set (n=284) and a validation set (n=121) at a 7∶3 ratio. Within the training set, Firth-penalized logistic regression was employed for multivariate analysis to identify independent factors influencing perioperative blood transfusion and construct a predictive model. Model performance was evaluated in the validation set. Results: Multivariate Firth regression analysis showed that severe placenta previa (OR=75.566, 95%CI: 8.603-9979.174) and placenta accreta (OR=4.591, 95%CI: 1.120-19.416) were independent risk factors for perioperative blood transfusion, while preoperative red blood cell count (OR=0.189, 95%CI: 0.083-0.405) and fibrinogen levels (OR=0.588, 95%CI: 0.395-0.855) were protective factors. The predictive model constructed based on these four variables demonstrated good discriminatory performance, with areas under the receiver operating characteristic curves of 0.803 (95%CI: 0.740-0.867) and 0.753 (95%CI: 0.644-0.862) in the training and validation sets, respectively. Conclusion: For patients with scarred uterus during pregnancy undergoing cesarean section, severe placenta previa and placenta accreta significantly increase the risk of transfusion, while higher preoperative red blood cell count and fibrinogen levels exert a protective effect. The predictive model established in this study facilitates the identification of patients requiring transfusion, thereby enabling preoperative blood preparation and optimized blood management.

OBJECTIVE To evaluate the cost-effectiveness of anlotinib combined with penpulimab versus sorafenib as first- line treatment for unresectable hepatocellular carcinoma （uHCC） from the perspective of China’s healthcare system. METHODS Based on data from the APOLLO study， a partitioned survival model was established with a 21-day model cycle to simulate patient survival status over 10 years under anlotinib combined with penpulimab regimen or sorafenib monotherapy. Quality-adjusted life year （QALY） was used as the core evaluation parameter to assess the incremental cost-effectiveness ratio （ICER） of different treatment regimens. Using 3 times China’s per capita gross domestic product （GDP） in 2024 （287 247 yuan/QALY） as the willingness-to-pay （WTP） threshold， cost-utility analysis was performed to evaluate the cost-effectiveness of the treatment regimens. Sensitivity analysis was conducted to validate the robustness of the baseline analysis conclusion. Scenario analysis was performed to consider the impact of anlotinib and penpulimab assistance programs on the results； the price reduction of penpulimab to ensure the cost-effectiveness of the combination regimen was examined under varying WTP thresholds （specifically， 1， 2， and 3 times China’s per capita GDP in 2024）. RESULTS The baseline analysis revealed that the ICER of anlotinib combined with penpulimab regimen relative to the sorafenib regimen was 338 611.20 yuan/QALY， which exceeded the WTP threshold set in this study. Univariate sensitivity analysis indicated that the utility value of progression free survival and penpulimab price significantly influenced the baseline analysis results. Probabilistic sensitivity analysis validated the robustness of the baseline results. The results of scenario analysis indicated that when considering the assistance programs for anlotinib and penpulimab， the obtained ICER values were all below the WTP threshold set at 3 times China’s per capita GDP in 2024. When the price of penpulimab was reduced by 58%， 35%， and 13%， the ICER values were below the WTP threshold， which was 1， 2 and 3 times the per capita GDP of China in 2024， respectively. CONCLUSIONS From the perspective of China’s healthcare system， anlotinib combined with penpulimab regimen for first-line treatment of uHCC lacks cost-effectiveness compared to sorafenib regimen. However， this conclusion would be reversed if the anlotinib and penpulimab assistance programs are taken into account or if the price of penpulimab is reduced by more than 13% and above.

BackgroundThe violent aggressive behaviors of patients with schizophrenia usually have the characteristics of suddenness， unpredictability， high severity， and great difficulty in prevention. Early identification and accurate assessment of their risk of violent aggression have significant clinical significance. ObjectiveTo construct a predictive model for the violence risk in hospitalized patients with schizophrenia， to identify the key factors influencing the occurrence of violent behavior in these patients， so as to provide references for clinical precise quantitative assessment and early intervention. MethodsA total of 200 patients with schizophrenia who were hospitalized at Taiyuan Psychiatric Hospital from March 2022 to September 2024 and met the diagnostic criteria of the International Classification of Diseases， eleventh edition （ICD-11） were collected to form the modeling cohort. They were randomly divided into a training set （n=140） and a test set （n=60） at a ratio of 7∶3. Based on the least absolute shrinkage and selection operator （LASSO） regression algorithm， the feature variables were screened and dimension-reduced. The support vector machine （SVM） from machine learning was selected for model training and prediction. The discrimination efficacy of the model was evaluated by the area under the receiver operating characteristic （ROC） curve （AUC）， accuracy， precision， sensitivity， specificity， F1 value， and Brier value. ResultsLASSO regression screening identified 16 feature variables. Pearson correlation analysis revealed a positive correlation between prior violent behavior frequency and clinical psychiatric symptom scores （r=0.580， P<0.01）， a positive correlation between hospitalization compliance and current disease status （r=0.550， P=0.003）， and a positive correlation between educational level and family per capita monthly income （r=0.367， P<0.01）. The SVM model achieved an AUC of 0.853， accuracy of 0.800， precision of 0.810， sensitivity of 0.895， specificity of 0.636， F1 value of 0.850， and Brier value of 0.168. ConclusionThe SVM model has a relatively high level of applicability and overall predictive performance in the assessment of violent risk in schizophrenia patients， which is helpful for the early identification of violent risks in such patients. ［Funded by Specialized Research Project for Enhancing the Competence of Health Professionals in Taiyuan City （number， Y2023006）］

Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

This article presents a case study of a patient who visited the Geriatric Department of Peking Union Medical College Hospital due to "palpitations, shortness of breath for more than 2 years, limb weakness for 6 months, edema, and nocturnal dyspnea for 2 months". The patient exhibited decreased muscle strength in the limbs and involvement of swallowing and respiratory muscles, alongside complications of heart failure and various arrhythmias which were predominantly atrial. Laboratory tests revealed the presence of multiple autoantibodies and notably anti-mitochondrial antibodies. Following a comprehensive multidisciplinary evaluation, the patient was diagnosed with anti-mitochondrial antibody-associated inflammatory myopathy. Treatment involved a combination of glucocorticoids and immunosuppressants, along with resistance exercises for muscle strength and rehabilitation training for lung function, resulting in significant improvement of clinical symptoms. The case underscores the importance of collaborative multidisciplinary approaches in diagnosing and treating rare diseases in elderly patients, where careful consideration of clinical manifestations and subtle abnormal clinical data can lead to effective interventions.

Cancer is one of the major diseases of high morbidity and mortality worldwide,and its therapeutic approaches are facing great challenges.Immunotherapy,especially the activation of innate immunity represented by the cGAS-STING signaling pathway,is the current research hotspot in tumor immunotherapy.Activation of innate immune response by gas therapy is the latest development in tumor therapeutic approaches,especially the use of gas signaling molecules(NOx CO,H2S and SO2)to activate the cGAS-STING signaling pathway to induce intrinsic immunity of the organism,which leads to anti-tumor immunotherapy.Although intrinsic immunity activated by gas signaling molecules plays an important role in tumor immunotherapy,few reviews have been reported on its association with the cGAS-STING signaling mechanism.In this paper,we will comprehensively describe how gas signaling molecules damage the mitochondrial matrix and DNA damage through oxidative/nitrosative stress,thereby activating the cGAS-STING signaling pathway and triggering the innate immune cascade,aiming to summarize the process of activation of anti-tumor immune effects by gas signaling molecules,and to provide more references for the gas therapies in the future anti-tumor immunity research.

Objective To explore the value of preoperative ultrasound examination in the prediction of restenosis of arteriovenous fistula(AVF)after percutaneous transluminal angioplasty(PTA)in hemodialysis patients.Methods A case-control trial was conducted on 225 hemodialysis patients who undergoing PTA due to AVF in our hospital January 2023 to May 2024.After 3 months of follow-up,they were divided into a patency group(n=204)and a restenosis group(n=21)according to the occurrence of postoperative restenosis.The preoperative clinical data and ultrasound parameters were compared between the groups.Binary logistic regression analysis was used to identify the independent factors for AVF restenosis after PTA.Receiver operating characteristic(ROC)curve was drawn to evaluate the value of preoperative stenosis length in the prediction of the restenosis after PTA.Results There were significant differences in preoperative internal diameter at the site of stenosis,stenosis length,stenosis number,intimal thickness,and brachial artery flow between the 2 groups(P<0.05).Preoperative stenosis length(OR=1.856,95%CI:1.350～2.552,P<0.001)was an independent factor of AVF restenosis in hemodialysis patients after PTA.ROC curve analysis showed that the area under the curve of preoperative stenosis length in predicting restenosis after PTA was 0.868(95%CI:0.784～0.953,P<0.001),with a sensibility and specificity of 85.7%and 80.4%,respectively.Conclusion Preoperative stenosis length may be an independent factor for AVF restenosis after PTA in hemodialysis patients.

Objective:To construct a nanoparticle vaccine displaying the prefusion F (preF) protein of respiratory syncytial virus (RSV) using the I53-50 protein nanoparticle platform, and to systematically evaluate its immunogenicity and protective efficacy.Methods:The RSV preF trimer antigen was genetically fused to I53-50A and assembled in vitro with I53-50B to form preF-I53-50 nanoparticles, theoretically displaying 20 preF antigens per particle. The structure and purity were characterized by size-exclusion chromatography, SDS-PAGE, and negative-stain electron microscopy. BALB/c mice were intramuscularly immunized with varying doses (1 μg or 5 μg) of preF antigen or an equimolar amount of preF-I53-50 nanoparticles. Humoral immunity, B-cell responses, and protective efficacy were assessed following intranasal viral challenge.Results:The preF-I53-50 nanoparticles self-assembled into spherical structures (50-60 nm in diameter) with uniformly arrayed antigens. The nanoparticle vaccine enhanced RSV-specific IgG1 and IgG2a antibody responses, promoting a Th1-biased immune profile. At equimolar preF doses, the neutralizing antibody titers induced by 1 μg and 5 μg nanoparticle formulations were 2.8-fold and 2.3-fold higher, respectively, than those elicited by preF alone ( P<0.05). Notably, even the low-dose nanoparticle group outperformed the high-dose preF group (1.6-fold increase). Viral challenge experiments demonstrated that preF-I53-50 effectively suppressed pulmonary viral replication, mitigated pathological damage, and induced stronger germinal center and memory B-cell responses, suggesting enhanced B-cell affinity maturation and long-term immune memory. Conclusion:The preF-I53-50 vaccine improves the immunogenicity and protective efficacy of RSV preF through multivalent antigen display.

Breast cancer is the leading cause of cancer-related mortality among women worldwide and has drawn extensive research attention.Owing to its molecular heterogeneity,drug resistance,and low therapeutic response,single-modality treatments often fail to achieve satisfactory efficacy or broad applicability.Combination therapy,designed based on the pathophysiological characteristics,related signaling pathways,and biomarkers of breast cancer,has emerged as a promising approach for improving therapeutic outcomes.With the advancement of research on combination strategies,the understanding of their molecular mechanisms—particularly key signaling pathways and biomarkers—has become increasingly important.However,comprehensive reviews addressing these molecular mechanisms and synergistic strategies remain scarce.This article summarizes recent advances in combination therapy for breast cancer,providing a comprehensive review of recent combination therapies for breast cancer and their underlying molecular mechanisms,and focusing on key signaling pathways involved in combination therapy and synergistic strategies,thereby providing theoretical insights and reference for researchers,graduate students,and clinicians engaged in the development of novel combination therapeutic strategies for breast cancer and related malignancies.