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 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.

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.

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.

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.

Objective:To investigate the differences in respiratory work load and oxygenation index improvement between intermittent sighing and progressive lung retraction strategies in patients with acute respiratory distress syndrome(ARDS)related to lung collapse.Methods:Sixty patients with ARDS related to lung collapse admitted from January 2020 to January 2024 were selected and divided into intermittent sighing group(IS group,n=30)and progressive lung re-expansion group(PLR group,n=30)according to different treatment methods.The IS group used an intermittent sighing ventilation mode,while the PLR group adopted a progressive lung re-expansion strategy.The changes in respiratory work load indicators[including work of breathing(WOB),maximum inspiratory pressure(Pmax),transcutaneous oxygen saturation(SpO2)],oxygenation index(PaO2/FiO2),lung compliance(Cst),and mechanical ventilation-related parameters were compared before and after treatment in both groups.Results:After treatment,the respiratory work load was significantly reduced in both groups,with a more pronounced decrease in WOB in the PLR group(P＜0.05);both groups showed significant improvements in oxygenation index,but the degree of improvement was more marked in the PLR group(P＜0.01);lung compliance improved more markedly in the PLR group(P＜0.05);the PLR group had significantly shorter mechanical ventilation time and ICU stay compared to the IS group(P＜0.05).Conclusions:The progressive lung recruitment strategy is better than the intermittent sighing ventilation in improving the respiratory work load,oxygenation index and lung compliance of patients with ARDS related to lung collapse.It can shorten the mechanical ventilation time and ICU hospital stay more effectively,which is worth clinical promotion and application.

Objective:This multicenter retrospective study aimed to analyze the clinicopathological features of duodenal adenocarcinoma (DA) and identify prognostic factors for postoperative survival.Methods:Demographic characteristics, clinicopathological features, treatment outcomes and survival of DA patients undergoing surgical treatment at 18 Chinese medical centers from January 2012 to December 2023 were retrospectively analyzed.Results:Among the 2 056 DA patients included, 46.8% (963) had extra-ampullary DA (EA-DA), and 53.2% (1 093) had peri-ampullary DA (PA-DA). The 1-, 3-, and 5-year overall survival (OS) rates for patients who underwent radical surgery were 93.2%, 71.0%, and 57.2%, respectively. The median overall survival was 76 months, and the median progression-free survival (PFS) was 65 months. No differences in survival were observed between the laparotomy group and minimally invasive surgery (MIS) group either before or after propensity score matching (OS: 76 vs. 75 months before PSM, P=0.986; OS: 75 vs. 75 months after PSM, P=0.602). Furthermore, there were no significant differences between-group in operation time and postoperative complications ( P＞0.05). The MIS group experienced less intraoperative blood loss and shorter hospital stays. The multivariate Cox regression analysis revealed that advanced age ( HR=1.43,95% CI:1.18-1.73), elevated carbohydrate antigen 19-9 levels ( HR=1.24,95% CI:1.02-1.51), perineural invasion ( HR=1.44,95% CI:1.14-1.81), vascular invasion ( HR=1.35,95% CI:1.07-1.71), advanced T stage (T3-4 vs. T1-2: HR=1.86,95% CI:1.49-2.31), regional lymph node metastasis ( HR=1.93,95% CI:1.58-2.36), preoperative biliary drainage ( HR=1.26,95% CI:1.04-1.53), intraoperative blood loss ( HR=1.34,95% CI:1.11-1.62), clinically significant postoperative pancreatic fistulas ( HR=1.53,95% CI:1.12-2.09), and postoperative hemorrhage ( HR=1.62,95% CI:1.14-2.29) were independent risk factors for poor prognosis after surgery (all P＜0.05). Conclusions:Radical surgery is associated with favorable overall survival among DA patients, and no difference in survival is observed between EA-DA and PA-DA patients. MIS is a reliable alternative for DA treatment.