OBJECTIVE To form an expert consensus addressing clinical issues regarding the use of parenteral direct thrombin inhibitors （DTIs） in special populations. METHODS Led by the Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital（the Affiliated Hospital of UESTC）， a multidisciplinary working group was formed comprising experts from multiple fields， including clinical pharmacy， cardiac surgery， obstetrics， pediatrics and evidence-based medicine. Through literature review and the Delphi method， clinical questions regarding the efficacy and safety of parenteral DTIs used in special populations were identified. A structured design was adopted using the “Population-Intervention-Comparison-Outcome” （PICO） framework；systematic searches were conducted in CJFD， PubMed， Embase and other databases. Relevant evidence from randomized controlled trials，cohort studies and systematic reviews were included and synthesized. Evidence quality was assessed using the Grading of Recommendations Assessment，Development and Evaluation （GRADE） approach， and recommendations were formulated through three rounds of Delphi surveys and expert consensus meetings. RESULTS &CONCLUSIONS Seven clinical questions were ultimately selected （with a consensus rate exceeding 90%）， resulting in the formulation of seven recommendations on the use of parenteral DTIs in special populations， including children， pregnant women， patients with hepatic or renal impairment， patients with mesenteric venous thrombosis， and individuals with thrombophilia. These recommendations clarify the preferred agents， dosing ranges， monitoring parameters， and safety management strategies for parenteral DTIs in these special populations. This expert consensus， which is formulated based on the best available evidence， provides evidence-based guidance for standardized and individualized use of parenteral DTIs in special populations.

OBJECTIVE To investigate the correlation of component content with colorimetric values during the roasting process of Ziziphus jujuba ， and to provide criteria for discriminating the roasting degree of Z. jujuba . METHODS Samples were prepared by dry stir-frying for different roasting times. The eight main components in raw Z. jujuba and the samples stir-fried for different roasting times-namely adenosine， magnoflorine， jujuboside A， spinosin， 6-feruloylspinosin， betulinic acid， oleic acid， and linoleic acid-were quantitativel y analyzed using ultra-performance liquid chromatography. The chromaticity values were determined using a UV spectrophotometer. The correlation and differences between the chromaticity values of Z. jujuba at different roasting times and their components content were analyzed by Pearson correlation analysis， linear regression analysis， principal component analysis （PCA） ， cluster heatmap analysis （CHA）， and partial least squares discriminant analysis （PLS-DA） to clarify the processing endpoint. RESULTS As the roasting time increased， the contents of linoleic acid and oleic acid decreased， while the contents of other components exhibited an increasing trend. Concurrently， the colorimetric value L* and E*ab were observed to decline， whereas the a* value demonstrated a gradual increase. Pearson correlation analysis revealed that L* and E*ab exhibited a significant negative correlation with the contents of adenosine， spinosin， 6-feruloylspinosin， jujuboside A， betulinic acid and magnoflorine （ P ＜0.05）. The results of linear regression analysis indicate that the content of six components, including adenosine， in the medicinal material can be preliminarily predicted by analyzing the colorimetric values of Z. jujuba powder. PCA and CHA successfully classified raw and stir-fried samples. The PLS-DA results indicated that L*， E*ab， a*， linoleic acid content， and oleic acid content were the main parameters that differentiated the color and quality of Z. jujuba at different roasting times. After frying for 9 to 10 minutes， the colorimetric values L* and E*ab decreased to their minimum values and stabilized， while a* remained consistently high with little variation；simultaneously， the concentrations of the six major components， excluding linoleic acid and oleic acid， reached their peak levels. CONCLUSIONS A significant correlation between the colorimetric values of Z. jujuba and the contents of six components， including adenosine， is confirmed. The optimal roasting time range is determined to be 9-10 minutes. Furthermore， the colorimetric value-component content correlation analysis method established in this study proved to be practical and applicable for discriminating the roasting degree of Z. jujuba .

ObjectiveTo investigate the value of intestinal fatty acid-binding protein （I-FABP） in predicting 6-week mortality in patients with liver cirrhosis after successful endoscopic hemostasis for esophagogastric variceal bleeding （EVB）. MethodsA retrospective analysis was performed for the clinical data of 207 patients with liver cirrhosis who underwent successful endoscopic treatment for EVB （including ligation and sclerotherapy） in The Affiliated Hospital of Yanbian University from September 2020 to June 2025， with the endpoint of 6-week bleeding-related mortality. ELISA was used to measure the serum level of I-FABP on admission， and a stratified analysis was performed based on the quartiles of I-FABP measurements. The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. The Kaplan-Meier survival analysis， Cox regression analysis， and restricted cubic spline （RCS） curve were used to investigate the association between I-FABP and mortality. Machine learning models were used to further quantify the impact of I-FABP on mortality. The integrated Brier score and an integrated cumulative/dynamic area under the curve were used to assess the importance of time-dependent variables， and the receiver operating characteristic （ROC） curve was used to assess the performance of the predictive model. ResultsDuring the study， 29 patients （14.0%） died within 6 weeks after successful endoscopic hemostasis， with a median time to death of 16 （8—26） days. The mortality group had a significantly higher serum level of I-FABP than the survival group （Z=-3.731， P<0.001）. The Kaplan-Meier survival analysis showed that there was a significant difference in 6-week mortality between the groups of patients based on I-FABP quartiles （χ²=12.78， P=0.005）. The multivariable Cox regression analysis showed that an increase in I-FABP （hazard ratio=1.87， P=0.003） was an independent influencing factor for 6-week mortality. The RCS analysis showed a linear relationship between I-FABP and 6-week mortality （P_non-linear=0.280， P_overall=0.029）. Machine learning models showed that there was a dynamic change in the importance of I-FABP over time， and Brier score loss and the loss of cumulative/dynamic area under the curve after permutation showed that I-FABP was an important variable affecting 6-week mortality rate. ConclusionI-FABP level is independently associated with the risk of 6-week mortality endoscopic hemostasis for EVB in patients with liver cirrhosis， and therefore， it can be used as a potential biomarker for poor short-term prognosis.

For the treatment of pulp calcification,dynamic navigation technology could assist in the establishment of pathways and avoid the occurrence of root canal complications such as lateral root canal perforation that might occur during free hand manipulation.This short paper reported a case of dynamic navigation assisted treatment of maxillary central incisor pulp calcification.The treatment were effective at 3,6 and 12 months after operation.

This study investigated the potential pathogenicity and genetic characteristics of ST314 Salmonella Kentucky(S.Ken-tucky)isolates from a broiler slaughterhouse.Antimicrobial susceptibility testing and whole-genome sequencing(WGS)were used to determine antimicrobial resistance,virulence factors,and the presence of antimicrobial resistance genes(ARGs)and mobile genetic elements(MGEs)among the isolates.The three multidrug resistant(MDR)isolates exhibited high resistance to multiple antimicrobial agents.The F4-2S strain exhibited resistance to 14 drugs across seven categories,whereas the F4T strain showed resistance to 13 drugs in the same number of categories.In contrast,the Y23 strain was resistant to nine drugs in six categories.Notably,F4-2S dem-onstrated high homology with F4T:both possessed 13 ARGs distributed across nine categories,in addition to a wide range of virulence factors,including secretion systems and effector proteins.The presence of IncR and IncX1 plasmids significantly enhanced both the antimicrobial resistance and pathogenicity of the isolates.The genome map of Y23 revealed a chromosome alongside two plasmids.The chromosome containedonly one resistance gene but several virulence factors,including the type III secretion system(T3SS),which is crucial for bacterial invasion.The plasmid pY23-1 contained eight types of 19 ARGs.Comparative analysis indicated that pY23-1 ex-hibited high homology with pZ1323SSL0055 and pSAL-045,all of which contained multiple ARGs,thus suggesting critical roles of these genes in the evolution of bacterial resistance.In conclusion,ST314 S.Kentucky demonstrated a complex mechanism of resis-tance coupled with significant pathogenic potential.The ARGs and MGEs in the plasmid contributed to the emergence and dissemina-tion of antimicrobial resistance.The multiple virulence factors present in the chromosome may be key factors driving the increasing virulence of ST314 S.Kentucky.

This study investigated the potential pathogenicity and genetic characteristics of ST314 Salmonella Kentucky(S.Ken-tucky)isolates from a broiler slaughterhouse.Antimicrobial susceptibility testing and whole-genome sequencing(WGS)were used to determine antimicrobial resistance,virulence factors,and the presence of antimicrobial resistance genes(ARGs)and mobile genetic elements(MGEs)among the isolates.The three multidrug resistant(MDR)isolates exhibited high resistance to multiple antimicrobial agents.The F4-2S strain exhibited resistance to 14 drugs across seven categories,whereas the F4T strain showed resistance to 13 drugs in the same number of categories.In contrast,the Y23 strain was resistant to nine drugs in six categories.Notably,F4-2S dem-onstrated high homology with F4T:both possessed 13 ARGs distributed across nine categories,in addition to a wide range of virulence factors,including secretion systems and effector proteins.The presence of IncR and IncX1 plasmids significantly enhanced both the antimicrobial resistance and pathogenicity of the isolates.The genome map of Y23 revealed a chromosome alongside two plasmids.The chromosome containedonly one resistance gene but several virulence factors,including the type III secretion system(T3SS),which is crucial for bacterial invasion.The plasmid pY23-1 contained eight types of 19 ARGs.Comparative analysis indicated that pY23-1 ex-hibited high homology with pZ1323SSL0055 and pSAL-045,all of which contained multiple ARGs,thus suggesting critical roles of these genes in the evolution of bacterial resistance.In conclusion,ST314 S.Kentucky demonstrated a complex mechanism of resis-tance coupled with significant pathogenic potential.The ARGs and MGEs in the plasmid contributed to the emergence and dissemina-tion of antimicrobial resistance.The multiple virulence factors present in the chromosome may be key factors driving the increasing virulence of ST314 S.Kentucky.

OBJECTIVE To investigate the effects of coptisine on endogenous metabolites in a dextran sulfate sodium(DSS)-in-duced ulcerative colitis(UC)mouse model,and to explore its potential mechanisms of action employing non-targeted metabolomics technology.METHODS SPF-grade male C57BL/6 mice were randomly divided into a control group,a model group,a sulfasalazine group(100 mg·kg-1),and low and high dose groups of coptisine groups(25,50 mg·kg-1).To induce ulcerative colitis(UC),all groups except the control group had free access to a 2.5%DSS solution for 7 days.At the same time,they also received daily intragastric ad-ministration of their corresponding treatments until the 10th day.Body weight changes,stool characteristics,and bloody stool occur-rence were recorded daily,and the disease activity index(DAI)was calculated.After the experiment,colon tissues were collected for pathological examination.Through UPLC-Q-TOF-MS/MS,non-targeted metabolomic analysis was performed to identify differential metabolites,and metabolic pathway enrichment analysis was conducted using the KEGG database.RESULTS Compared to the model group,coptisine significantly ameliorated weight loss,DAI scores,and pathological damage in colon tissues of UC mice(P<0.05,P<0.01).Metabolomic analysis identified 56 differential metabolites,mainly involved in purine metabolism,tryptophan metabo-lism,niacin and nicotinamide metabolism,glutathione metabolism,and the biosynthesis of phenylalanine,tyrosine,and tryptophan.Coptisine intervention significantly reversed the abnormal expression of these metabolites.CONCLUSION Coptisine can markedly improve metabolic disorders in DSS-induced UC mice by modulating multiple key metabolic pathways,thereby exerting a therapeutic effect.

OBJECTIVE To investigate the effects of coptisine on endogenous metabolites in a dextran sulfate sodium(DSS)-in-duced ulcerative colitis(UC)mouse model,and to explore its potential mechanisms of action employing non-targeted metabolomics technology.METHODS SPF-grade male C57BL/6 mice were randomly divided into a control group,a model group,a sulfasalazine group(100 mg·kg-1),and low and high dose groups of coptisine groups(25,50 mg·kg-1).To induce ulcerative colitis(UC),all groups except the control group had free access to a 2.5%DSS solution for 7 days.At the same time,they also received daily intragastric ad-ministration of their corresponding treatments until the 10th day.Body weight changes,stool characteristics,and bloody stool occur-rence were recorded daily,and the disease activity index(DAI)was calculated.After the experiment,colon tissues were collected for pathological examination.Through UPLC-Q-TOF-MS/MS,non-targeted metabolomic analysis was performed to identify differential metabolites,and metabolic pathway enrichment analysis was conducted using the KEGG database.RESULTS Compared to the model group,coptisine significantly ameliorated weight loss,DAI scores,and pathological damage in colon tissues of UC mice(P<0.05,P<0.01).Metabolomic analysis identified 56 differential metabolites,mainly involved in purine metabolism,tryptophan metabo-lism,niacin and nicotinamide metabolism,glutathione metabolism,and the biosynthesis of phenylalanine,tyrosine,and tryptophan.Coptisine intervention significantly reversed the abnormal expression of these metabolites.CONCLUSION Coptisine can markedly improve metabolic disorders in DSS-induced UC mice by modulating multiple key metabolic pathways,thereby exerting a therapeutic effect.

For the treatment of pulp calcification,dynamic navigation technology could assist in the establishment of pathways and avoid the occurrence of root canal complications such as lateral root canal perforation that might occur during free hand manipulation.This short paper reported a case of dynamic navigation assisted treatment of maxillary central incisor pulp calcification.The treatment were effective at 3,6 and 12 months after operation.

Purpose To construct a comprehensive model of deep learning features and clinical features based on renal ultrasound for early identification of renal impairment in the pregnant women with preeclampsia.Materials and Methods The information of 279 pregnant women in the First Affiliated Hospital of Guangxi Medical University from January 2018 to June 2023 were retrospectively collected,and all pregnant women were divided the into preeclampsia group(151 cases)and normal group(128 cases).The dataset was randomly divided into a training set(195 samples)and a testing set(84 samples)at a ratio of 7∶3.Based on ultrasound images,the deep learning convolutional neural networks Resnet152 was used to extract deep learning features.The non-zero coefficient features were selected from the deep learning features by the least absolute shrinkage and selection operator,and the K-nearest neighbor algorithm was used to establish the deep learning model.Then,the same classifier model was used to construct a comprehensive model based on clinical data.The receiver operating characteristic curve was used to evaluate the prediction effect.To address the interpretability visualization of models using gradient_weighted class activation mapping and SHapley Additive exPlanations(SHAP)values.Results The area under the curve of the composite model was 0.964(95%CI 0.940-0.988)in the training cohort and 0.899(95%CI 0.835-0.963)in the test cohort.SHAP analysis showed that deep learning features contributed the highest value in the prediction model.Conclusion The comprehensive model based on deep learning combined with clinical features of renal ultrasound can be used to identify renal impairment in normal pregnancy and preeclampsia pregnant women at an early stage,which is conducive to early clinical intervention.