ObjectiveTo investigate the intervention effects and mechanisms of the flavonoid hyperoside （Hyp） on lipopolysaccharide （LPS）-induced inflammation in the zebrafish model. MethodsZebrafish larvae were either microinjected with 0.5 g·L^-1 LPS or immersed in 1 g·L^-1 LPS for the modeling of inflammation. The larvae were then treated with Hyp at 25， 50， and 100 mg·L^-1 through immersion for four consecutive days. The inflammatory phenotypes were assessed by analyzing the mortality rate， malformation rate， body length， and yolk sac area ratio. Behavioral tests were conducted to evaluate the inflammatory stress responses， and macrophage migration was observed by fluorescence microscopy. Additionally， the mRNA levels of inflammation-related genes， including interleukin-1β （IL-1β）， interleukin-6 （IL-6）， chemokine C-C motif ligand 2 （CCL2）， chemokine C-X3-C motif receptor 1 （CX3CR1）， chemokine C-C motif receptor 2 （CCR2）， and genes associated with the Toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor-kappa B （NF-κB） signaling pathway， were measured by Real-time quantitative polymerase chain reaction（Real-time PCR）. ResultsCompared with the pure water injection group， the model group exhibited increased mortality， malformation rates and yolk sac area ratio （P0.01）， reduced body length （P0.01）， increased total swimming distance and high-speed swimming duration （P0.01）， and up-regulated mRNA levels of TLR4， MyD88， NF-κB， IL-1β， IL-6， CCL2， CX3CR1， and CCR2 （P0.01）. Hyp at low， medium and high doses， as well as aspirin， reduced the mortality and malformation rates （P0.05，P0.01）， increased the body length （P0.05，P0.01）， decreased the yolk sac area ratio （P0.01）， reduced the high-speed swimming duration （P0.01）， and down-regulated the mRNA levels of TLR4， MyD88， NF-κB， IL-1β， IL-6， CCL2， CX3CR1， and CCR2 （P0.05，P0.01） compared with the model group. ConclusionHyp may modulate the TLR4/MyD88/NF-κB pathway to ameliorate inflammatory phenotypes and alleviate stress conditions in zebrafish， thereby exerting the anti-inflammatory effect.

Objective To analyze the correlation between lesion volume,lesion mass,and maximum lesion diameter in the assessment of advanced hepatocarcinoma with lung metastasis,and to evaluate the application value of total volume response and total mass response of lung metastatic lesions in efficacy assessment.Methods A retrospective analysis was conducted on the CT imaging data of 20 patients clinically confirmed with hepatocarcinoma and lung metastases,followed by subsequent follow-up to monitor their survival outcomes.Volume measurement software was used to measure the volume of lesions before and after treatment.We recored lesion diameter,volume measurements and CT values,calculated the mass of the lesions.The correlation between lesion volume,mass and diameter was analyzed,as well as the correlation between the change rates of volume,mass and lesion diameter.Additionally,the total volume and total mass of all lesions were calculated.The correlation between the change rates of total volume/total mass and the change rate of pulmonary lesion diameter under the RECIST 1.1 criteria,as well as the correlation with changes in patients'tumor markers,were analyzed.Furthermore,the overall volume response and overall mass response of lesions were evaluated based on changes in total volume and total mass,and their consistencies with the RECIST 1.1 criteria for efficacy evaluation were analyzed.Finally,univariate Cox regression analysis was performed to explore the association between these variables and patient survival outcomes.Results There was strong correlation between lesion volume,mass and tumor diameter(r=0.771,0.775),between the rate of change in mass and the rate of change in lesion diameter(r=0.846),and between the rates of change in total volume/total mass and the rate of change in pulmonary lesion diameter under the RECIST 1.1 criteria(r=0.800,0.896).The correlation between the rates of change in total volume/total mass and patients'tumor markers was not statistically significant.There was moderate correlation between the rate of change in volume and the rate of change in lesion diameter(r=0.692).The evaluation results of total volume response and total mass response for pulmonary lesions in advanced hepatocarcinoma with lung metastasis were generally consistent with the RECIST 1.1 criteria(Kappa=0.486,0.426).Univariate Cox regression analysis revealed that total lesion volume(P=0.047)and total lesion mass(P=0.049)were independent prognostic factors for survival outcomes.Conclusion Lesion volume,mass,and diameter,as well as their respective change rates,were found to be interrelated.Furthermore,total lesion volume and total lesion mass were identified as independent prognostic factors for survival outcomes.The total volume response and total mass response are promising evaluation methods in evaluating the efficacy of lung metastasis of hepatocarcinoma,which are different from the RECIST 1.1 evaluation criteria.

Objective To construct a risk prediction model for post-stroke dysphagia(PSD)based on clinical and laboratory indicators of elderly stroke patients with explainable machine learning.Methods A retrospective analysis was conducted on 3994 stroke patients hospitalized in Depart-ment of Neurology of First Medical Center of Chinese PLA General Hospital from October 2010 to December 2021.Among them,the 1390 cases admitted during January 2019 and December 2021 were assigned into an external validation set,and the 2604 cases admitted during October 2010 to January 2019 were into a training group.Those from the training group were further divided into a training set(1823 cases)and an internal validation set(781 cases)in a 7∶3 ratio,and also grouped into a PSD subgroup(773 cases)and a non-PSD group(1831 cases).With occurrence of swallowing difficulties as an endpoint,risk prediction models were constructed using random for-est(RF),eXtreme Gradient Boosting(XGBoost),Support Vector Machine(SVM),and logistic regression.ROC curve analysis was employed to evaluate the performance of our models.After the optimal model was selected,SHAP was employed to interpret feature contributions.Results There were significant differences in muscle strength,right/left-sided stroke,and area of brain in-jury between the PSD and the non-PSD groups(P＜0.01).The PSD group had obviously larger proportions of hypertension,diabetes,and drinking history,increased neutrophil counts,and de-creased levels of potassium and albumin when compared with the non-PSD group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that age,drinking history,diabetes,hyper-tension,muscle strength grade,area of brain injury,hemispheric stroke,neutrophil count,and al-bumin and potassium levels were risk factors for PSD(P＜0.05,P＜0.01).The external validation results showed that the area under curve value of the RF model,XGBoost model,SVM model,and our logistic model was 0.883,0.902,0.877,and 0.868,respectively.The distribution of SHAP value showed that drinking history,hypertension and diabetes were positively correlated with PSD risk;Muscle strength was negatively correlated with the risk;Age growth was positively correlated with the risk;Subtentorial lesions showed stronger predictive efficacy than supratentorial lesions and entire lesions;The bilateral and right-sided stroke had higher risk for PSD than the left-sided stroke.Conclusion The model based on the XGBoost model shows best performance in predicting the risk for swallowing disorders in elderly patients after stroke.

Objective:This study aims to analyze the trends,hotspots,and interrelations in research on retroperito-neal tumors through bibliometric methods,providing the latest scientific information support for clinicians and research-ers.Methods:Data were sourced from the SCI-expanded database of the Web of Science Core Collection,covering the period from 2004 to 2023.Statistical analysis and visualization of the number of publications,total citations,average citations per article,countries,institutions,journals,and keywords were conducted using Microsoft Excel 2019,VOS-viewer,and CiteSpace.Results:A total of 6,842 relevant articles were retrieved,with a total of 113 753 citations and an average of 16.63 citations per article.The number of publications had been increasing annually,peaking in 2022.The United States,China,and Japan are the major research countries,with the United States contributing the most.Memo-rial Sloan Kettering Cancer Center and the University of Texas MD Anderson Cancer Center are the leading research in-stitutions.The journal with the most publications was the Cureus Journal of Medical Science.Gronchi Alessandro was the most prolific author.The ain keywords were"Management","Surgery",and"Tumor",and the most cited papers focus on surgery and multicenter studies.Conclusion:Research on retroperitoneal tumors is increasing annually,with hot-spots focusing on treatment methods and prognosis analysis.The United States is the main contributor to this field,with significant international collaboration.Future research should further explore the pathogenesis of retroperitoneal tumors and more effective treatment strategies.

Through molecular docking and experimental validation,24 SPF male KM mice were ran-domly divided into four groups:the control group(CON),model group(LPS),high-dose Yang Shuhua group(YSH-H),which was gavaged with drug solution containing 1 g/mL crude Yang Shuhua,and the low-dose Yang Shuhua group(YSH-L),which was gavaged with drug solution containing 0.5 g/mL crude Yang Shuhua for a 17-day experimental period.Mouse body weight was recorded during the experiment,and fecal scoring was done 1 h after intraperitoneal injection of LPS.At the end of the experiment,histopathological changes in the jejunum tissue were examined,and the expression of tight junction protein-related genes was detected.Compared to the CON group,mice in the LPS group showed significant decreases in villus height,villus height/crypt depth(V/C)ratio(P＜0.01),and significant increase in crypt depth(P＜0.01).The mRNA ex-pression levels of ZO-1 and claudin-1 were significantly decreased(P＜0.01).Compared to the LPS group,mice in the YSH-H group showed significant decrease in crypt depth(P＜0.05),significant increase in villus height(P＜0.05),and significant increase in V/C ratio(P＜0.01).The YSH-L group showed a significant increase in V/C ratio(P＜0.05),a trend of decreased crypt depth,and an increasing trend of villus height.The mRNA expression of ZO-1 in the YSH-H group showed a significant increase(P＜0.05)and claudin-1 showed an increasing trend.Luteolin,quercetin,kaempferol,eriodictyol,and the top 5 potential key targets TP53,IL-1β,TNF,AKT1,and IL-10 exhibited molecular docking scores less than-20.95 kJ/mol,indicating strong activity.GO and KEGG enrichment analysis suggested that Yang Shuhua compounds might act on enteritis through the TNF signaling pathway,IL-17 signaling pathway,and PI3K-Akt signaling pathway.The qPCR results showed an upward trend in the mRNA expression levels of TLR4 and AKT1,significant in-crease in Caspase-1 and ASC(P＜0.05),and significantly increased expression of NF-κB and NL-RP3(P＜0.01).The mRNA expression level of AKT1,TLR4,NLRP3,ASC,Caspase-1,and NF-κB decreased compared to the LPS group,with significant differences in Caspase-1 and NF-κB(P＜0.05).This study suggests that Yang Shuhua exerts anti-enteritis effects through multiple compo-nents and pathways,with blockade of the TLR4-AKT-NF-κB pathway possibly being a key thera-peutic mechanism for treating enteritis.

Barrett's esophagus(BE),a precancerous state of esophageal adenocarcinoma,poses a major challenge for prevention and treatment owing to its complex mechanism of inflammation-cancer transformation and the lack of effective clinical treatment and torsion strategies.Building upon the"preventing disease progression"theory,this study aimed to address the critical clinical challenge of intercepting the pathological progression during the inflammation-cancer transformation of BE by proposing an innovative"two critical nodes-three stages"pathomechanism framework.The pathogenesis of BE originates from liver depression and qi stagnation.The pathological progression evolves through two critical nodes:liver depression transforming into heat and heat transforming into blood stasis,representing a three-stage evolutionary pattern of qi stagnation,heat transformation,and blood stasis formation.Acidic bile salts,acting as a pathogenic toxin,permeate the entire process and catalyze carcinogenesis.Based on this understanding,the therapeutic principles of"treatment from the liver"and"truncation and torsion"were established,emphasizing stage-specific interventions.For the qi stagnation stage,treatment focuses on soothing the liver and regulating qi,as well as moistening,harmonizing,and descending the qi.This is achieved by combining modified Chaihu Shugan Powder with Xuanfu Daizhe Decoction,while using pungent and drying herbs cautiously and supplementing them with light and floral herbs.In the heat transformation stage,the strategy aims to clear the liver and drain heat while protecting yin and harmonizing the stomach,employing modified Huaganjian combined with Yiguanjian and supplemented with Jinlingzi Powder to clear depressed fire.For the blood stasis formation stage,treatment involves activating blood and resolving stasis,combined with supporting healthy qi and removing toxins.This is achieved using a modified Gexia Zhuyu Decoction,supplemented with Liujunzi Decoction,and additions such as Radix Salviae Miltiorrhizae and turtle carapace to disperse nodules and reduce masses.This theoretical framework establishes a diagnostic and therapeutic model characterized by the integration of disease mechanisms with pathology and the mutual reference of macro-level signs with micro-level indicators.It provides a comprehensive clinical practice pathway,complete with principles,methods,formulas,and herbs,for the stage-specific interception of inflammation-cancer transformation in BE using traditional Chinese medicine.

Purpose To investigate the relationship between the expression of POSTN and NECTIN-3 in urothelial carcinoma(UC)and its clinicopathologic features and prognosis.Methods Clinical data of 115 UC patients were col-lected.EnVision two-step method was used for immunohistochemical analysis to determine the expression of POSTN and NECTIN-3 in UC and their correlation with clinicopathological features and prognosis.Transcriptomic data from TCGA database were used to analyze the correlation between the expression of POSTN and NECTIN-3 in bladder cancer and the pathological stage and prognosis of bladder cancer.qPCR and Western blot were used to detect the expression levels of POSTN and NECTIN-3 in tumor tissues and adjacent tissues of patients.Results TCGA database analysis showed that the expression level of NECTIN-3 in urinary bladder urothelial carcinoma(UBUC)was significantly lower than that in paracancer tissues,and POSTN expression was positively correlated with pathological stage.Prognostic a-nalysis showed that POSTN expression was negatively correlated with the overall survival of UBUC(P＞0.05),and NECTIN-3 expression was negatively correlated with disease-free survival of UBUC(P＞0.05).The experimental re-suits showed that patients with positive POSTN expression were more prone to perineural invasion[25 cases(86.2％)vs 4 cases(13.8％),P=0.019],vascular invasion[36 cases(83.7％)vs 7 cases(16.3％),P=0.007],and lymph node metastasis[24 cases(88.9％)vs 3 cases(11.1％),P=0.033].Additionally,the positive expression rate of POSTN in UBUC was significantly higher than that in upper tract urothelial carcinoma(UTUC)(75.0％vs 54.3％,P=0.028).Higher expression levels of POSTN and NECTIN-3 were associated with shorter overall survival,but the difference was not statistically significant(P＞0.05).Conclusion There is no significant correlation between NECTIN-3 and the clinicopathological features and prognosis of urothelial carcinoma,while the expression of POSTN is correlated with the invasive clinicopathological features of UC,which has certain suggestive significance for clinical stage and prognosis.

China has become the country with the highest global burden of heart failure(HF).Despite the widespread use of prognostic-improving medications today,the mortality rate of HF remains high,reaching 13.7％at one year-particularly among patients with heart failure with reduced ejection fraction(HFrEF).HF interventional device therapy(structural intervention)targets the structural factors underlying HF,including atrial pressure,ventricular remodeling,and valvular intervention.It leverages the heart's intrinsic physiological properties and pathological progression mechanisms to deliver treatments through interventions without external active forces,achieving anatomical or functional repair.This field has emerged as a rapidly growing area and plays an increasingly critical role in HF management.This article provides a comprehensive review and summary of the latest advancements in HF and cardiomyopathy interventional therapy over the past year.It covers various novel technologies and products currently in the research phase,aiming to provide an in-depth analysis of the current status and future directions of HF interventional therapy,and further advance the development of this discipline.

Objective:To investigate the efficacy of preoperative ultrasound-guided injection of carbon nanoparticle suspension in cervical lymph node dissection for thyroid cancer reoperation.Methods:Ninety-four patients undergoing reoperation for thyroid cancer admitted by the same physician team of the Department of Thyroid and Breast Surgery of the Ninety-sixty Hospital of the People’s Liberation Army (PLA) from Jan. 2019 to Sep. 2024 were retrospectively analyzed. According to the different scope of the initial surgery, they were divided into the re-specification clearance group, the regional lymph node clearance group, and the metastatic lymph node dissection group, and the groups were subdivided into the carbon nanoparticle group and the control group according to whether they were injected with carbon nanoparticle before the surgery or not. The t-test, χ2-test, and non-parametric test were used to compare the age, gender, surgical method, duration of surgery, total number of lymph nodes detected, and positive lymph node detection rate between the nano-charcoal group and the control group in the three groups. Results:There was no statistically significant difference between the three groups in terms of age, gender, surgical methods, or the total number of lymph nodes detected (all P>0.05) , and the difference between the surgical time of the carbon nanoparticle group in the re-regulation clearance group and the control group was not statistically significant ( P>0.05) ; the surgical time of the carbon nanoparticle group was shorter than that of the control group in both the regional lymph node clearance and the metastatic lymph node dissection groups, and the difference was statistically significant (all P<0.05) ; the positive detection rate of lymph nodes in the carbon nanoparticle group was higher than that in the control group among the three groups, and the difference was statistically significant (all P<0.05) . Conclusion:In the operation of cervical lymph node dissection for papillary thyroid cancer, preoperative ultrasound-guided injection of carbon nanoparticle can accurately localize the lymph nodes, increase the positive detection rate of lymph nodes, reduce the difficulty of surgical operation, and shorten the operation time.

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.