ObjectiveTo investigate the effects of jatrorrhizine on endogenous metabolites and metabolic pathways in the mouse model of ulcerative colitis. MethodsThirty male C57BL/6J mice were randomly divided into the normal group， the model group， the low-dose and high-dose jatrorrhizine groups （0.04， 0.16 g·kg^-1）， and the mesalazine group （0.52 g·kg^-1）The mouse model of ulcerative colitis was established with 3% dextran sulfate sodium （DSS） and treated with different doses of jatrorrhizine by gavage. The changes in body weight， colon length， disease activity index （DAI）， and colonic histopathology were analyzed to evaluate the therapeutic effects of jatrorrhizine. UPLC-Q-TOF/MS was employed to determine the serum and fecal levels of metabolites in mice. Metabolomics methods were used to screen the differential metabolites， on the basis of which the potential therapeutic mechanism of jatrorrhizine on DSS-induced ulcerative colitis in mice was investigated. ResultsAfter intervention with jatrorrhizine， the model mice showed significantly decreased DAI（P<0.05，P<0.01）， recovered colon length，（P<0.05，P<0.01） and alleviated histopathology of the colon. The metabolomics study screened out 13 differential metabolites in the serum and 8 differential metabolites in the feces. The pathway enrichment analysis predicted three potential metabolic pathways： Biosynthesis of unsaturated fatty acids， phenylalanine， tyrosine and tryptophan biosynthesis， and phenylalanine metabolism. ConclusionJatrorrhizine may treat ulcerative colitis by regulating the biosynthesis and metabolism of amino acids and the synthesis of unsaturated fatty acids.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective The sample hospital is currently in the exploration stage of creating patient satisfaction service un-der the one-hospital and multi-district management mode.In order to improve the overall feeling of patients in the process of hos-pital treatment,the application effect of the existing all-round full-cycle patient service intelligent management platform in the hos-pital is quantitatively evaluated,so as to better improve the service mode.Methods A survey was conducted to collect satisfac-tion data from two groups:the experimental group,which utilized the comprehensive and full-cycle patient service intelligent man-agement platform for diagnosis and treatment services,and the control group,which followed the conventional patient admission and discharge process.The work efficiency number was obtained and calculated through the background of the system,including the average time to handle hospitalization procedures,the average waiting time for examination,the average time to handle dis-charge procedures,the time spent on each follow-up visit and the response rate of follow-up patients.The data were analyzed sta-tistically.Results The work efficiency of the experimental group was significantly better than that of the control group,and the satisfaction of hospitalized patients and staff was higher than that of the control group.Conclusion The application of the com-prehensive and full-cycle patient service intelligent management platform can improve the satisfaction of patients and staff,opti-mize the efficiency of treatment,and better serve the management mode of one hospital and multiple districts.

Aim Systematic evolution of ligands by exponential enrichment(SELEX)techniquewas employed to screen and identify nucleic acid aptamers that specifically bind to mouse atherosclerotic pathological tissues,aiming to pro-vide a research foundation for the development of molecular targets and diagnostic reagents for early atherosclerosis.Methods A single-stranded DNA(ssDNA)library with a capacity of 1015～1016 was constructed,which was then subjec-ted to binding-elution(negative selection)with normal mouse vascular tissue slices.The eluted library was subsequently bound to atherosclerotic tissue slices for binding-elution(positive selection).PCR was used to amplify the positive and negative screening products,and agarose gel electrophoresis was used to verify the amplified products.The ssDNA library after multiple rounds of selection was sequenced using T-A cloning and sequencing to obtain the primary structure of the nu-cleic acid aptamers,and the secondary structure was predicted using the Mfold online software.The selected nucleic acid aptamers were labeled with a FAM fluorescent group at the 5'-end and were bound to both positive and negative selection tissue slices,with fluorescence intensity observed under a fluorescence microscope.Image Pro Plus 6.0 was used to cal-culate the relative average fluorescence intensity to evaluate the binding specificity of nucleic acid aptamers.Results After 8 rounds of selection,agarose gel electrophoresis imaging showed PCR amplification products in the positive selection lanes,while no PCR amplification products were observed in the negative selection lanes,indicating the successful acquisi-tion of a nucleic acid aptamer library that specifically binds to atherosclerotic tissues.Five nucleic acid aptamers were i-dentified by T-A cloning and sequencing,and their predicted secondary structures all had stem-loop structures.Immuno-fluorescence staining verified that five nucleic acid aptamers had different degrees of binding with As blood vessels,and the quantitative results of the relative average fluorescence intensity showed that nucleic acid aptamer No.11 had the highest relative average fluorescence intensity value,which can be used as a candidate nucleic acid aptamer for subsequent re-search.Conclusion Specific nucleic acid aptamers that bind to atherosclerotic vesselswere successfully obtained,providing a research foundation for further screening of early molecular targets of Asand developing in vivo early diagnostic reagents.

Objective To study the syntactic impairment characteristics of wh-question comprehension and expression in Chinese non-fluent aphasic patients.Methods The differences in comprehension and expression be-tween 25 non-fluent aphasic patients and 25 normal subjects were tested in the form of sentence-figure matching and elicitation-repetition to analyze syntactic impairment characteristics related to sentence patterns,question objects,and question words.Results The patients with non-fluent aphasia had impaired comprehension and expression of specific interrogative sentences,and the order of correct comprehension was:(active interrogative sentence,object pseudo-split interrogative sentence)＞(subject pseudo-split interrogative sentence,passive interrogative sentence),and the order of correct expression was:active interrogative sentence＞(pseudo-split interrogative sentence,pas-sive interrogative sentence).Conclusion The pattern of impaired comprehension and expression of wh-question was similar in patients with Chinese non-fluent aphasia.The main influences on syntactic structure included the object of questioning(subject-object)and the type of sentence.Obstacles were more pronounced in sentences with wh-move-ment and non-canonical order.

Objective:To evaluate the effect of intraoperative optimization of regional cerebral oxygen saturation(rSO 2C) intervention on postoperative delirium(POD) in pediatric patients undergoing cardiac surgery with cardiopulmonary bypass(CPB). Methods:Two hundred and seventy-three pediatric patients of both sexes, aged 28 days-6 yr, with American Society of Anesthesiologists Physical Status classification ≤Ⅳ, scheduled for elective cardiac surgery under CPB, were divided into intervention group( n=136) and control group( n=137) based on the computer random coding. In intervention group, optimized intervention measures were given when rSO 2C was below 75% of the baseline value for more than 1 min. In control group, rSO 2C was not monitored during operation, and intraoperative management was performed according to the routine monitoring indicators of pediatric cardiac surgery under CPB. The occurrence of POD within 7 days after operation was evaluated, and the duration and first occurrence time of POD were recorded. Results:Compared with control group, no significant change was found in the incidence of POD( P>0.05), the first occurrence time of POD was significantly prolonged, and the duration of POD was shortened in intervention group( P<0.05). Conclusions:Intraoperative optimization of rSO 2C intervention can delay the time to the first occurrence of POD and shorten the duration in pediatric patients undergoing cardiac surgery under CPB.

Objective To determine the pathogenicity of a novel mutation(c.109_111del)in DKC1 gene of an adult patient,and to analyze the clinical phenotype,immunophenotype and telomere length,so as to provide clues for early clinical identification and diagnosis.Methods The clinical data and peripheral blood samples of the patient were collected for genetic testing and family analysis.The lymphocyte subsets of the patient were detected by Flow cytometry,and the telomere length of the patient and healthy controls were detected by Flow-FISH.Results The main clinical manifestations of the patient were mucocutaneous triad,bone marrow failure and infection.The telomere length of lymphocytes in the patient was significantly shorter than that of healthy controls of the same age,and the absolute value and percentage of lymphocyte subsets were abnormal.Conclusion The clinical manifestations of DC patients are diverse.Flow-FISH detection of telomere length is helpful for early diagnosis of DC patients.

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.