Inflammatory bowel disease(IBD)is a non-specific chronic inflammatory bowel condition.Crohn's disease(CD)and ulcerative colitis(UC)are the 2 main types of IBD.IBD is prone to recurrent attacks,which is associated with many factors,such as immune dysfunction,intestinal microenvironment homeostasis imbalance,and environmental and genetic factors;however,its specific pathogenesis is still unclear.Zebrafish has recently emerged as an emerging animal model and have been used extensively for mechanistic research into IBD,model construction,activity evaluation,and screening of anti-IBD agents,due to their unique biological advantages.Based on the latest research progress using zebrafish in the field of IBD,this review systematically introduces the intestinal development characteristics,tissue structure,intestinal immunity,IBD model,and the application of drug screening in zebrafish,to demonstrate the value of zebrafish in the study of IBD.

This study investigated the infectious status and pathogen characteristics of Leptospira in rodents and the environment in Fujian province to provide data for the prevention and control of leptospirosis.A total of 723 rodents and 31 water samples were col-lected from 19 regions in Fujian Province during 2020-2023.The prevalent rodent species was Rattus losea(35.82%,259/723),which was followed by Rattus norvegicus(20.06%,145/723),Rattus tanezumi(19.64%,142/723),and Niviventer fulvescens(13.97%,101/723).A total of 144 positive samples of Leptospira spp.were detected in rodent kidney samples,accounting for 19.92%(144/723).The positivity rate of Leptospira spp.in wild rodents was higher than that in domestic rodents(χ2=8.48,P<0.05),and the positivity rate in adult rodents was higher than that in juvenile rodents(χ2=14.19,P<0.05).The positivity rates varied among rodent species(χ2=46.11,P<0.05),and differences in the positivity rates of Leptospira spp.were observed among regions(χ2=32.113,P<0.05).Ten strains were isolated from 440 rodent samples,and the isolation rate was 2.27%(10/440).Genospecies identification indi-cated that Leptospira borgpetersenii accounted for seven of the ten isolates,and L.interrogans accounted for three.MLST typing divided 10 isolates into three ST types:ST1,ST16,and ST143.5 isolates were isolated from 31 water samples,with an isolation rate of 16.13%,all of which were nonpathogenic L.tsangambouensis.Although pathogenic Leptospira spp.were not isolated from the water samples,the rodents in Fujian Province were generally infected with pathogenic Leptospira spp.Surveillance of the environment and ro-dents infected with Leptospira spp.should be strengthened.

This study investigated the infectious status and pathogen characteristics of Leptospira in rodents and the environment in Fujian province to provide data for the prevention and control of leptospirosis.A total of 723 rodents and 31 water samples were col-lected from 19 regions in Fujian Province during 2020-2023.The prevalent rodent species was Rattus losea(35.82%,259/723),which was followed by Rattus norvegicus(20.06%,145/723),Rattus tanezumi(19.64%,142/723),and Niviventer fulvescens(13.97%,101/723).A total of 144 positive samples of Leptospira spp.were detected in rodent kidney samples,accounting for 19.92%(144/723).The positivity rate of Leptospira spp.in wild rodents was higher than that in domestic rodents(χ2=8.48,P<0.05),and the positivity rate in adult rodents was higher than that in juvenile rodents(χ2=14.19,P<0.05).The positivity rates varied among rodent species(χ2=46.11,P<0.05),and differences in the positivity rates of Leptospira spp.were observed among regions(χ2=32.113,P<0.05).Ten strains were isolated from 440 rodent samples,and the isolation rate was 2.27%(10/440).Genospecies identification indi-cated that Leptospira borgpetersenii accounted for seven of the ten isolates,and L.interrogans accounted for three.MLST typing divided 10 isolates into three ST types:ST1,ST16,and ST143.5 isolates were isolated from 31 water samples,with an isolation rate of 16.13%,all of which were nonpathogenic L.tsangambouensis.Although pathogenic Leptospira spp.were not isolated from the water samples,the rodents in Fujian Province were generally infected with pathogenic Leptospira spp.Surveillance of the environment and ro-dents infected with Leptospira spp.should be strengthened.

In China,lung cancer ranks first in the incidence and death of malignant tumors.Early diagnosis and timely treatment can significantly improve the survival rate of lung cancer.However,75％of patients are already in the advanced stage at the time of initial diagnosis,missing the best treatment opportunity.Lung nodules are the manifestations of early lung cancer.How to accurately distinguish benign and malignant pul-monary nodules and avoid missing diagnosis of malignant lung nodules and over-treatment of benign lung nod-ules are important clinical problems.Liquid biopsy has the advantages of non-invasiveness,high reproducibili-ty,operability,easy dynamic monitoring and overcoming tumor heterogeneity,which can realize early detection and diagnosis of malignant tumors.Besides,it is the most potential precision tumor detection technology,which is expected to become a breakthrough in the diagnosis of benign and malignant lung nodules.This arti-cle reviews the research and application of liquid biopsy in the diagnosis of lung nodules in recent years,in or-der to provide ideas for clinical application and future research.

Inflammatory bowel disease(IBD)is a non-specific chronic inflammatory bowel condition.Crohn's disease(CD)and ulcerative colitis(UC)are the 2 main types of IBD.IBD is prone to recurrent attacks,which is associated with many factors,such as immune dysfunction,intestinal microenvironment homeostasis imbalance,and environmental and genetic factors;however,its specific pathogenesis is still unclear.Zebrafish has recently emerged as an emerging animal model and have been used extensively for mechanistic research into IBD,model construction,activity evaluation,and screening of anti-IBD agents,due to their unique biological advantages.Based on the latest research progress using zebrafish in the field of IBD,this review systematically introduces the intestinal development characteristics,tissue structure,intestinal immunity,IBD model,and the application of drug screening in zebrafish,to demonstrate the value of zebrafish in the study of IBD.

Objective:To observe any effect of supplementing basic swallowing training with balloon catheter dilation on the swallowing function of tracheostomy patients with pontine hemorrhage.Methods:A total of 40 pontine hemorrhage patients with tracheostomy and swallowing disorders were divided randomly into an observation group and a control group, each of 20. Both groups were given nutritional neurodrugs and basic swallowing training, but the observation group also received 25 minutes of balloon catheter dilation, five times a week for 6 weeks. Before and after the 6 weeks of treatment one swallowing therapist evaluated the feeding ability and leakage-aspiration status of each subject assigning functional oral intake (FOIS) ratings and Rosenbek Leakage/Aspiration Rating Scale (PAS) ratings double-blinded. The Watian water swallowing test was also applied.Results:After the treatment the average FOIS and PAS scores of both groups had improved significantly, with those of the observation group then significantly better than among the control group on average. The total treatment effectiveness rate was 70% in the observation group, significantly better than the 30% in the control group.Conclusion:Supplementing swallowing training with balloon catheter dilation can better improve the swallowing of patients recovering from a tracheotomy after pontine hemorrhage.

Objective To establish the method of simultaneous determination of four main components of Danggui Liuhuang Decoction,including phellodendrine,palmatine,calycosin,and ferulic acid and provide reference for the quality control of Danggui Liuhuang Decoction.Methods Based on the HPLC-MS/MS analysis method,the positive ion data acquisition mode were adopted for the mass spectrometry detection and the four main components were quantified with multiple reaction monitoring mode(MRM)by ESI source.The chromatographic column was Agilent Extend-C18(5 μm,4.6 mm×250 mm),and gradient elution was performed with methanol and 0.5%formic acid in water.Results The linear range of phellodendrine was from 2-200 nmol/ml,and the linear range of palmatine,calycosin and ferulic acid was from 20-2 000 nmol/ml.The contents of the four components in the seven batches of Danggui Liuhuang Decoction were relatively stable,among which ferulic acid was mainly found in Phellodendrine and Coptidis;Phellodendrine was only detected in cortex phellodendri;the content of calycosin in Scutellaria baicalensis and Astragalus was higher;palmatine was detected in both Phellodendron and Astragalus.Conclusion The method had high sensitivity,good specificity and sample stability,which could meet the requirements of quantitative analysis of Traditional Chinese Medicine compounds,and could provide reference for further pharmacokinetics study on the content changes of traditional Chinese medicine compounds in biological samples.

Objective To explore the preoperative predictive factors influencing microscopic positive proximal margin in upper gastric cancer,and to establish a nomogram prediction model and to validate it internally.Methods Retrospective analysis of 187 patients with upper gastric cancer operated in the Department of Gastrointestinal Surgery of Hengshui People's Hospital from January 2018 to October 2022 were included in this study.Patients were divided into the microscopic positive proximal margin(the R0 group,n=15)and the negative microscopic proximal margin group(the R1 group,n=172)according to histopathological diagnosis.Preoperative factors that may influence positive upper margin of proximal gastric cancer were collected,including patient age,gender,tumor size,tumor location,Borrmann staging,tumor differentiation,Lauren staging,cT stage and cN stage.Receiver operating characteristic(ROC)curve was used to figure out the optimal cut-off value for predicting positive margin of proximal gastric cancer by tumor length.Multivariate Logistic regression was used to analyze the variables with statistical difference between the two groups,and independent risk factors were screened out,and prediction mode was constructed.The prediction accuracy of the model was verified internally using Bootstrap method.Results The best threshold for predicting positive margin of proximal gastric cancer by tumor length was 4.85 cm.Univariate analysis showed that there were significant differences in tumor length,tumor location,Borrmann staging,Lauren staging,cT staging and cN staging between the two groups(all P＜0.05).Multivariate Logistic regression analysis showed that tumor length>4.85 cm(OR=4.000,95%CI:1.039-15.399),tumor located in esophagogastric junction(OR=7.108,95%CI:1.604-31.494),Borrmann staging Ⅲ—Ⅳ(OR=6.991,95%CI:1.538-31.782),Lauren staging as diffuse or mixed(OR=7.583,95%CI:1.814-31.701)and cT staging as cT4(OR=8.249,95%CI:1.890-36.007)were independent predictors of microscopic positive proximal margin of advanced upper gastric cancer before surgery,and a prediction model was established based on results of multivariate analysis.The area under ROC curve(AUC)value for subjects with the model was 0.862 after internal validation.The calibration curve showed that the model predicted the probability of microscopic positive proximal margin occurrence in good agreement with the probability of actual microscopic positive proximal margin occurrence(Hosmer-Lemeshow χ2=6.145,P=0.523).Conclusion The established nomogram prediction model can predict the probability of positive upper incisal margin of proximal gastric cancer before operation,and provide clinical guidance for formulating surgical strategy.

Objective To explore the risk factors of central venous catheter related thrombosis in the patients undergoing gastrointestinal tract surgery,and to construct a risk prediction model based on machine learning algorithms.Methods A total of 385 patients receiving gastrointestinal tract surgery and central ve-nous catheter indwelling in this hospital from May 2018 to March 2024 were selected as the study subjects and divided into the thrombus group(n=62)and non-thrombus group(n=323)based on whether or not the catheter-related thrombosis forming.The age,body mass index(BMI),comorbidities,current tumors,neutro-phil/lymphocyte ratio(NLR),surgery time,catheterization vein,systemic immune inflammation index(SII),D-dimer and catheter indwelling time of the patients were collected,and the differences in baseline data were compared between the two groups.The research subjects were randomly divided into the training set and tes-ting set by a 7∶3 ratio.Based on the training set,the logistics regression model,random forest,support vector machine,decision tree and naive Bayes risk prediction models were established.The area under the operating characteristic curve(AUC),accuracy,sensitivity,specificity and F1 value in predicting catheter-related throm-bosis were compared among different models in the testing set.The importance of the predictive factors in the best prediction model conducted the visualized ranking.Results There were statistically significant differences in the proportion of tumor patients,NLR,surgical time and D-dimer level in the baseline data between the two groups(all P＜0.05).The AUC values of the five risk prediction models from great to small were the random forest(0.773),logistics regression model(0.734),support vector machine(0.680),naive Bayes(0.666)and decision tree(0.650).Among them,the accuracy(0.853),sensitivity(0.599),specificity(0.877)and F1 val-ue(0.414)of the random forest model were the highest.D-dimer,surgery time,current tumor and NLR were the top four important predictive factors in the random forest model.Conclusion The constructed random forest model for central venous catheter-related thrombosis in the patients undergoing gastrointestinal tract surgery demonstrates good performance,and the D-dimer,surgery time,current tumor and NLR are the main predictive factors.

Objective To explore the preoperative predictors of lymphovascular invasion(LVI)in patients with advanced gastric cancer,and establish the corresponding nomogram prediction model and conduct internal validation.Methods A total of 246 cases of advanced gastric cancer who underwent surgical resection in the Department of Gastrointestinal Surgery of Hengshui People's Hospital from January 2018 to December 2021 were selected.Patients were divided into the LVI positive group and the LVI negative group according to postoperative pathological diagnosis.The age,gender,tumor differentiation,tumor size,tumor site,Borrmann classification,Lauren's classification,cT stage,cN stage and systemic immune-inflammation index(SII)of patients were collected and compared between the two groups.The predictors that were statistically different between the two groups were subjected to multivariate Logistic regression and further developed into a visual prediction model.Bootstrap method was applied for internal validation of the prediction efficiency of the model.Results The differences of tumor size,Borrmann classification,tumor differentiation,Lauren classification,cT staging,cN staging and SII were statistically significant between the two groups(P＜0.05).Multivariate Logistic regression analysis showed that tumor size(OR=2.184,95%CI:1.224-3.898),Borrmann classification(OR=2.517,95%CI:1.294-4.896),cT staging(OR=1.860,95%CI:1.045-3.308),cN staging(OR=1.816,95%CI:1.004-3.285)and SII(OR=1.001,95%CI:1.000-1.002)were independent predictors of LVI in advanced gastric cancer.A preoperative nomogram prediction model for advanced gastric cancer LVI was developed based on results of multivariate analysis.By internal validation,the area under curve(AUC)value of the subject operating characteristic(ROC)curve of the nomogram was 0.735,which was higher than that of tumor size(0.599),Borrmann staging(0.564),cT staging(0.604),cN staging(0.582)and SII(0.615),respectively.The calibration curve showed that the probability of predicted LVI by the nomogram was in a good agreement with the probability of actual LVI occurrence.The Hosmer-Lemeshow test showed good model fit(χ2=4.387,P=0.821).Conclusion The established nomogram prediction model can help to predict the probability of LVI in advanced gastric cancer preoperatively,which can provide a guideline for clinical individualized treatment.