ObjectiveTo investigate the anti‑pancreatic fibrosis mechanism of Klotho‑derived peptide 7 （KL7） by observing its effect on a mouse model of chronic pancreatitis （CP） induced by cerulean， and to provide a basis for clinical medication. MethodsA total of 40 male BALB/c mice were randomly divided into control group， model group， low-dose KL7 group （2 mg/kg）， and high-dose KL7 group （4 mg/kg）， with 10 mice in each group. All mice except those in the control group were given intraperitoneal injection of cerulean （50 μg/kg） 6 times a day at an interval of 1 hour， twice a week for 4 consecutive weeks to establish a model of CP. The mice in the low-dose KL7 group and the high-dose KL7 group were treated with different doses of KL7 once a day for 4 consecutive weeks. In vivo imaging was used to observe the accumulation of KL7 in the pancreas； molecular docking was used to detect the binding of KL7 to transforming growth factor-β type Ⅱ receptor （TβRⅡ）； the mice were measured in terms of body weight and pancreatic weight； HE staining was used to observe the pathological changes of pancreatic tissue； Masson staining was used to observe the degree of pancreatic fibrosis； immunohistochemical staining was used to measure the expression of α-smooth muscle actin （α-SMA） and type Ⅰ collagen （COL1A1）； Western blotting was used to measure the protein expression levels of α-SMA， TβRII， and phosphorylated small mothers against decapentaplegic homolog 2/3 （p-Smad2/3） in pancreatic tissue. A one-way analysis of variance was used for comparison of continuous data between multiple groups， and the least significant difference t-test and the Dunnett’s-T3 test were used for further comparison between two groups. ResultsKL7 was significantly enriched in the pancreatic tissue of CP mice， and there was a strong binding activity between KL7 and TβRⅡ. Compared with the control group， the model group had significant reductions in pancreatic mass and relative pancreatic mass （P<0.000 1）， with disordered structure of pancreatic tissue， an increase in inflammatory cell infiltration， and significant increases in fibrosis degree， the positive areas of α-SMA and COL1A1 （P<0.000 1）， and the protein expression levels of α-SMA， TβRⅡ， and p-Smad2/3 （P<0.05）. Compared with the model group， the high-dose KL7 group had significant increases in pancreatic mass and relative pancreatic mass （P<0.01）， with alleviation of structural damage of pancreatic tissue and inflammatory cell infiltration， a significant reduction in fibrosis degree， and significant reductions in the positive areas of α-SMA and COL1A1 （P<0.001） and the protein expression levels of α-SMA， TβRⅡ， and p-Smad2/3 （P<0.01）. ConclusionKL7 has a significant targeted therapeutic effect on pancreatic fibrosis in CP mice through specific binding of KL7 to TβRⅡ， thereby inhibiting the activation of the TGF-β/Smad signaling pathway.

Objective: To investigate the epidemiological characteristics of pertussis in Jiaxing City from 2004 to 2023 and spatio-temporal clustering characteristics from 2022 to 2023, so as to provide insights into formulation of pertussis control measures. Methods: Data of pertussis cases in Jiaxing City from 2004 to 2023 were collected through the Infectious Disease Report Information System of Chinese Disease Prevention and Control Information System. The epidemiological characteristics of pertussis cases in Jiaxing City from 2004 to 2023 were descriptively analyzed, and the spatio-temporal clustering characteristics from 2022 to 2023 were analyzed using spatio-temporal scanning. Results: A total of 478 pertussis cases were reported in Jiaxing City from 2004 to 2023, with an average annual reported incidence of 0.53/105. The reported incidence showed an upward trend from 2004 to 2023 (P<0.05), with the highest in 2022 (3.17/105). Higher incidence of pertussis was reported in June to August (149 cases, 31.17%) and November to December (112 cases, 23.43%). There was no statistically significant difference in the reported incidence between males and females (0.56/105 vs. 0.50/105, P>0.05). The cases aged under one year accounted for the highest proportion, with 199 cases (41.63%). Haining City (0.68/105), Jiashan County (0.64/105) and Tongxiang City (0.60/105) ranked the top three in the reported incidence of pertussis. Spatio-temporal scanning analysis showed that from 2022 to 2023, the primary clustering area of pertussis was centered in Daqiao Town of Nanhu District, covering 27 towns (streets) in Nanhu District, Jiashan County, Xiuzhou District and Pinghu City, and the clustering time was from November to December, 2023. Conclusions The reported incidence of pertussis was at a low level in Jiaxing City, but showed an upward trend from 2004 to 2023. The incidence of pertussis was higher among infants under one year of age, peaked in June to August and November to December, and was concentrated in Nanhu District and its surrounding areas.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

AIM:Hepatotoxicity of Brucea javani-ca picryl with broad-spectrum anticancer effect in nude mice based on hepatic drug metabolizing en-zyme CYP450 activity.METHODS:Fifty-six nude mice were randomly divided into blank group,Bru-cea javanica low-dose group(2 mg/kg),Brucea ja-vanica high-dose group(4 mg/kg),and cisplatin group(2 mg/kg),with 14 mice in each group.The blank group was injected with the same amount of normal saline every 3 days for 6 weeks.Calculate the mortality rate of nude mice in each group,ob-serve the general growth state of nude mice,re-cord the weight change of nude mice before and af-ter administration,weigh and record the liver weight after taking materials,and calculate the liv-er coefficient(liver weight/weight mass×100％),ob-serve and record the liver color and morphology.Hematoxylin-eosin(HE)staining was used to ob-serve the pathological changes of liver tissue.De-tection of alanine aminotransferase(ALT),aspar-tate aminotransferase(AST),lactate dehydrogenase(LDH),alkaline phosphatase(AKP)and albumin(ALB)levels in serum of nude mice by ELISA.Real-time PCR and Western blot were used to detect the mRNA and protein expression levels of CYP2E1,CYP3A11,CYP2C19,CYP1A2,CYP2D6 and CYP2C9,which were key enzymes of drug metabolism in nude mice liver.RESULTS:Compared with the blank group,the mortality rate of nude mice in the low-dose Brucea javanica bitter alcohol group was 0,the growth state was good,the diet,movement,and mental state were normal,the weight change and liver coefficient ratio were consistent,the liver color was ruddy,the liver lobule morphology was complete under the microscope,the structure was clear,the liver cells were arranged regularly,and there was no inflammatory cell infiltration.There was no significant difference in the content of ALT,AST,LDH,AKP,and ALB.There was no significant difference in the mRNA and protein expression of CYP2E1,CYP3A11,CYP2C19,CYP1A2,CYP2D6,and CYP2C9(all P＞0.05).Compared with the blank group,the mortality rate of nude mice in the high-dose group of Brucea javanica bitter alcohol was 14.3％,the growth state was slightly poor,the diet,movement,and mental state were reduced,the weight growth was slow,the liver coefficient ratio was increased,the liver color was reddish brown,some liver lobule boundaries were unclear,a small number of liver cells were loosely arranged,the contents of ALT,AST,LDH,AKP,and ALB were signif-icantly increased,the mRNA levels of CYP2E1,CYP3A11,CYP2C19,CYP1A2,CYP2D6,and CYP2C9 were significantly reduced,and the protein expres-sions of CYP2E1,CYP3A11,CYP1A2,and CYP2D6 were significantly reduced(all P＜0.05 or P＜0.01),but there was no statistical difference in the mRNA and protein expression of CYP2C19,and the pro-tein expression of CYP2C9(P＞0.05).Compared with the blank group,the mortality rate of nude mice in the cisplatin group was 35.7％,the growth state was poor,the diet,action,and mental state were low,the weight gain was less,the liver coefficient ratio was significantly increased,the liver color was dark red,the liver sinusoids and central veins were congested,the hepatocytes were disordered,the nuclei were consolidated and contracted,and the arrangement was loose,the contents of ALT,AST,LDH,AKP,and ALB were significantly increased,and the mRNA and protein expressions of CYP2E1,CYP3A11,CYP2C19,CYP1A2,CYP2D6,and CYP2C9 were significantly reduced(all P＜0.05 or P＜0.01).CONCLUSION:The dose of Brucea javanica bitter alcohol is correlated with hepatotoxicity to nude mice.High doses of Brucea javanica bitter alcohol have hepatotoxicity to nude mice,which may be re-lated to reducing serum levels of ALT,AST,LDH,AKP,and ALB,inhibiting the expression of multiple subtypes of enzymes in the key enzyme CYP450 of liver drug metabolism,and then reducing the me-tabolism of toxic substances.

With the rapid development of artificial intelligence(AI),how to digitize the teaching of Medical Immunology is a new challenge posed by the times and education.This study is based on the advanced teaching model of Medical Immunology,which includes lectures-PAD class-flipped classrooms-expert lecture.By introducing knowledge mapping and AI teaching assistant into the entire learning process,the students not only deepen their understanding of the knowledge system of Medical Immunology,but also ex-ercise their ability to apply immunological knowledge to solve practical clinical problems,enhance their self-learning ability,expres-sion ability,communication ability,on-site performance ability,and cultivate a spirit of unity,cooperation,and exploration.The practice of empowering Medical Immunology teaching with digital intelligence achieves the integration of theory and application,the linkage between in class and out of class teaching,the connection between commonalities and individualities,and the union of abili-ties and qualities in Medical Immunology teaching.It also provides practical basis for exploring the implementation path of digital intel-ligence empowerment in Medical Immunology teaching.

Objective To construct a diagnostic and prognostic model for malignant pleural effusion (MPE) in patients with non-M1b stage (AJCC 7th edition) non-small cell lung cancer (NSCLC) by machine learning. Methods Retrospective analysis was conducted on patients diagnosed with NSCLC in the Surveillance, Epidemiology, and End Results database from 2010 to 2015, excluding those in the M1b stage. Two sets of data were collected: data 1 (patients with non-M1b stage NSCLC, n=47 392) was used to construct the MPE diagnostic model; and data 2 (patients with M1a stage NSCLC and MPE, n=2 422) was used to construct a prognostic model. The Least Absolute Shrinkage and Selection Operator (LASSO) regression was used to screen feature variables, with a training set and validation set ratio of 7:3. Models were built using eight machine learning algorithms, with evaluation metrics including accuracy, precision, recall, F1 score, area under the ROC curve (AUC), decision curve, calibration curve, and precision recall curve (PR), with ROC-AUC as the main evaluation metric. Results The incidence of MPE in patients with non-M1b stage NSCLC was 5.12%, and the 1-year survival rate of patients with MPE was 32.5%. LASSO regression identified nine diagnostic-related variables and 12 prognostic-related variables. The AUC values of the models constructed by eight machine learning algorithms all exceeded 0.70. The random forest model performed the best in the diagnostic model (training set AUC=0.908, validation set AUC=0.897), and the XGBoost model showed the best performance in the prognostic model (training set AUC=0.905, validation set AUC=0.875). Other evaluation indicators showed good results and balanced distribution. SHAP feature importance analysis showed that tumor size, lymph node metastasis, and histological type were important influencing factors for the occurrence of MPE, and chemotherapy intervention was the most remarkably prognostic factor. Conclusion The random forest diagnostic model constructed in this study can effectively predict the risk of MPE in patients with non-M1b stage NSCLC, and the XGBoost prognostic model can predict the prognosis of M1a-stage NSCLC patients with concurrent MPE.

Objective:To discuss the inhibitory effect of schisandrin B(SchB)on the migration and invasion of the pancreatic cancer Pan02 cells,and to clarify its mechanism.Methods:The pancreatic cancer Pan02 cells were treated with different concentrations of SchB(0,0.78,1.56,3.12,6.25,12.50,and 25.00 mg·L-1)for 24,48,and 72 h.CCK-8 method was used to detect the survival rates of the cells in various groups,and the concentration of SchB for the subsequent experiments was confirmed.The Pan02 cells were divided into control group,2.5 mg·L-1 SchB group,5.0 mg·L-1 SchB group,and 10.0 mg·L-1 SchB group.Wound healing assay was used to detect the wound healing rates of the Pan02 cells in various groups;Transwell chamber assay was used to detect the numbers of migration and invasion Pan02 cells in various groups;Western blotting method was used to detect the expression levels of Vimentin and N-cadherin proteins in the Pan02 cells in various groups.The mouse models of subcutameous transplanted tumor of pancreatic cancer cells were established.Ten successfully modeling mice were randomly divided into control group and SchB group(n=5).After 28 d of treatment,the weights of tumor of the mice were determined;immunohistochemistry method was used to detect the expressions of Vimentin and N-cadherin proteins in tumor tissue of the mice in various groups.Results:The CCK-8 results showed that compared with control group,the survival rates of the pancreatic cancer Pan02 cells in different concentrations of SchB groups were decreased(P＜0.05 or P＜0.01).The wound healing results showed that compared with control group,the wound healing rates of the cells in 2.5,5.0,and 10.0 mg·L-1 SchB groups were decreased(P＜0.05 or P＜0.01).The Transwell chamber results showed that compared with control group,the numbers of migration and invasion Pan02 cells in 2.5,5.0,and 10.0 mng·L-1SchB groups were decreased(P＜0.05 or P＜0.01).The Western blotting results showed that compared with control group,the expression levels of Vimentin and N-cadherin proteins in the Pan02 cells in 2.5,5.0,and 10.0 mg·L-1 SchB groups were decreased(P＜0.05 or P＜0.01).Compared with control group,the tumor volume and weight of the mice in SchB group were significantly decreased(P＜0.01).The immunohistochemistry results showed that compared with control group,the positive expression rates of Vimentin and N-cadherin proteins in tumor tissue of the mice in SchB group were significantly decreased(P＜0.01).Conclusion:SchB can inhibit the proliferation,migration,and invasion of the pancreatic cancer Pan02 cells,and its mechanism is related to the reduction of expressions of Vimentin and N-cadherin proteins.

OBJECTIVE To investigate the selection strategy for recipient vessels in free flap reconstruction of head and neck defects.METHODS A retrospective analysis was conducted on 96 patients who underwent 99 free flap reconstructions for head and neck defects between January 2020 and December 2024.Recipient vessel selection,flap survival,and postoperative complications were analyzed based on defect location and flap type.RESULTS In 99 cases microvessel anastomosis,the recipient arteries were superior thyroid artery in 49 branches,facial artery in 28 branches,superficial temporal artery in 14 branches,lingual artery in 5 branches.external carotid artery in 1 branch,transverse cervical artery in 1 branch,and superior laryngeal artery in 1 branch.Venous anastomosis was performed in 104 branches,with 94 cases in 1 venous anastomosis and 5 cases in 2 venous anastomoses.The recipient veins selected were facial vein in 62 branches,external jugular vein in 21 branches,superficial temporal vein in 12 branches,retromandibular vein in 3 branches,middle thyroid vein in 2 branches,internal jugular vein in 2 branches,middle temporal vein in 1 branch,and superior thyroid vein in 1 branch.Complete flap necrosis occurred in 5 cases,and partial necrosis occurred in 4 cases.When the recipient vessels were deficient,the lingual artery was chosen in 3 cases,the facial artery in 1 case,the external jugular vein in 3 cases,the internal jugular vein with end-to-side anastomosis in 1 case,and the common facial vein with end-to-side anastomosis in 1 case.CONCLUSION In free flap reconstruction for head and neck defects,the superior thyroid artery,facial artery,and superficial temporal artery are commonly used as recipient arteries,while the facial vein,external jugular vein,and superficial temporal vein are frequently selected as recipient veins.When recipient vessels are scarce,the ipsilateral lingual artery,transverse cervical artery,and main trunk of the internal jugular vein can serve as alternative recipient vessels.

OBJECTIVE To explore the early detection of large vestibular aqueduct syndrome(LVAS)in children by applying several audiological indicators.METHODS Ninety-two children with hearing loss(aged 1-70 months)were enrolled and divided into an LVAS group(45 cases)and a control group(47 cases).Eleven audiological indicators were statistically analyzed:lateral of hearing loss,the degree of hearing loss,configuration of hearing loss;ABR air-conduction threshold;ABR air-bone gap;ASSR average threshold;ASSR thresholds at 0.5,1,2,and 4 kHz;and tympanogram type.Indicators showing significant two-group differences were used to construct a visualized multifactorial linear prediction model using the R language.RESULTS Nine indicators demonstrated statistically significant differences between groups(P<0.05):laterality,configuration of hearing loss,ABR air-conduction threshold,ASSR average threshold,ASSR thresholds at all frequencies(0.5,1,2,4 kHz),and tympanogram type.A prediction model was established.When the total model score ranged between 200 and 240 points,the predicted LVAS risk probability was 0.1 to 0.99.The consistency index(C-index)was 0.85,indicating good predictive ability of the model.CONCLUSION The identified nine audiological indicators are valuable for the early detection of LVAS in children.The developed model can estimate LVAS risk.After refinement,this model holds potential to support early clinical diagnosis and intervention.

Laccase is a type of polyphenol oxidase that can catalyze the oxidation of various substances,including phenols,aromatic amines,and catecholamines.It has been widely utilized in pollutant degradation and analytical applications.However,the high cost of preparation of natural laccase and its susceptibility to environmental factors,which can lead to denaturation and inactivation,limit its practical applications.Nanozymes,which are nanomaterials that exhibit enzyme-like properties,offer advantages such as easy preparation,adjustable activity,and exceptional stability.Currently,many types of nanozymes have been developed.Inspired by the coordination of Cu2+with amino acids in the active site of natural laccase,researchers have employed coordination synthetic strategies to prepare laccase-like nanozymes.The metal nodes in these laccase-like nanozymes include copper,manganese,and cerium,while the ligands involve a variety of chemicals like nucleotides,amino acids,polypeptides,and aromatic acids.By manipulating factors such as the metal-to-ligand ratio,reducing capacity of ligands,buffer solutions,chloride ions,bromine ions,the catalytic activity of laccase-like nanozymes can be finely tuned.In this paper,laccase-like nanozymes developed through coordination strategies were categorized and summarized,along with review of their analytical applications in detection of phenolic compounds,disease biomarkers,antibiotics,pesticides,sulfur-containing pollutants,and time-temperature indicators.Furthermore,the challenges currently faced in the research of laccase-like nanozymes and future research directions were discussed.