ObjectiveBased on the clinical characteristics of chronic gouty arthritis （CGA） in both traditional Chinese and western medicine， this study aims to systematically evaluate the clinical concordance of existing CGA animal models， providing recommendations for establishing animal models that align with the pathological characteristics of CGA and the manifestations of traditional Chinese medicine syndromes. MethodsBy comprehensively retrieving Chinese and international databases such as China National Knowledge Infrastructure， Wanfang， VIP Chinese Science and Technology Periodical Database （VIP）， and PubMed， all relevant literature on CGA animal models was collected. Based on the guidelines， the diagnostic criteria of both traditional Chinese and western medicine were summarized and organized. The evaluation indicators for the CGA model were constructed with reference to existing evaluation modes， and the CGA animal models were analyzed to systematically evaluate the clinical concordance of existing models. ResultsThe current methods used to construct CGA animal models mainly include monosodium urate crystal induction， high-protein diet induction （poultry lack urate oxidase）， and high-fat diet combined with urate oxidase inhibitors and joint injection. Based on 11 pieces of included literature， the traditional Chinese and western medicine scoring data of each model were extracted， and the average scoring values of all models were ultimately calculated. The results show that the average clinical concordances of existing CGA animal models in both traditional Chinese and western medicine are 43.33% and 64.44%， respectively. Among them， the model with the highest clinical concordance rate is the one with a high-fat diet combined with potassium oxonate to induce hyperuricemia plus joint injection， achieving 83.33% clinical concordance in western medicine and 60% in traditional Chinese medicine. This model aligns well with the pathogenic characteristics and pathological changes of clinical CGA. ConclusionAlthough current CGA animal models can simulate some pathological characteristics of CGA， they struggle to comprehensively reflect the complex pathological processes of CGA and the characteristics of traditional Chinese medicine syndromes. Therefore， in the future， it is necessary to establish the CGA animal models that incorporate the clinical disease and syndrome characteristics of traditional Chinese and western medicine and formulate the uniform model evaluation criteria， providing more precise tools for CGA mechanism research and the development of traditional Chinese medicine.

The zebrafish has emerged as a powerful model organism in life science owing to its remarkable biological characteristics and wide-ranging applications. This review provides a comprehensive overview of the recent advancements in research on zebrafish within the field of environmental toxicology, highlighting specific studies where this species was used to investigate various pollutants to elucidate their impacts and underlying mechanisms. The findings of these studies underscore the significant potential of zebrafish as a model to gain crucial insights into the ecological consequences of environmental contamination and toxicity pathways. By incorporating cutting-edge technologies such as artificial intelligence (AI), high-throughput screening, and omics approaches, the use of zebrafish as a model organism is poised to significantly accelerate toxicological investigations, promote environmental conservation efforts, contribute to safeguarding human health, and advance sustainable development objectives.
Animals ; Zebrafish ; Ecotoxicology/methods* ; Artificial Intelligence ; Humans ; Models, Animal ; Environmental Pollutants/toxicity*

Objective:To conduct enrichment and biological behavior studies on CD44 + CD24 - triple-negative breast cancer (TNBC) stem-like cells, and to construct 68Ga-labeled CD44 peptide ( 68Ga-1, 4, 7-triazacyclononane-1, 4, 7-triacetic acid (NOTA)-CD44p) and evaluate its targeting ability towards the surface marker CD44 of TNBC stem-like cells. Methods:Suspension sphere culture method was utilized to enrich and cultivate CD44 + CD24 - cell subpopulations from TNBC cell line MDA-MB-231 and non-TNBC cell line MCF-7. Flow cytometry was used to detect the expression of stem cell markers of different groups, cell scratch assay was performed to assess the migration ability of CD44 + CD24 - cell subpopulations, and Transwell invasion assay was performed to evaluate the invasion ability of CD44 + CD24 - cell subpopulations. 68Ga-NOTA-CD44p was prepared, followed by purification and identification with high-performance liquid chromatography (HPLC). The targeting ability of 68Ga-NOTA-CD44p towards CD44 + TNBC cells was evaluated through cellular uptake and blocking experiments. Data were analyzed by independent-sample t test, one-way analysis of variance and the least significant difference t test. Results:Suspension sphere culture successfully enriched CD44 + CD24 - TNBC stem-like cell spheres. Compared to the non-TNBC cell line MCF-7, TNBC cell line MDA-MB-231 exhibited better sphere-forming ability (18.50±3.73 vs 31.83±4.92; t=5.29, P<0.001) and a higher proportion of CD44 + CD24 - cell subset ((24.97±8.12)% vs (90.93±4.46)%; F=170.10, t=14.93, both P<0.001). The wound healing rate ((71.00±11.00)% vs (28.33±4.16)%; F=42.91, t=8.02, both P<0.001) and invasion rate ((60.60±16.87)% vs (24.16±8.15)%; F=11.83, t=4.40, both P<0.01) of CD44 + CD24 - MDA-MB-231 group cells were significantly increased compared to the CD44 + CD24 - MCF-7 group. MDA-MB-231 cells showed strong uptake ability of 68Ga-NOTA-CD44p, which decreased after CD44p blocking. Conclusions:Compared to CD44 + CD24 - MCF-7 cells, CD44 + CD24 - MDA-MB-231 cells exhibit higher malignant biological behavior. 68Ga-NOTA-CD44p targets the surface marker CD44 of TNBC stem-like cells, laying the research foundation for targeted therapy against TNBC with tumor stem cells as targets.

Lung cancer has the highest incidence and mortality among malignant tumors in China.Persistent subsolid nodules(SSNs)are closely associated with early-stage lung adenocarcinoma.Artificial intelligence(AI),as an emerging technology,is capable of performing in-depth analysis of large-scale imaging data through autonomous learning and possesses the ability to predict outcomes from new data,demonstrating great potential and application prospects in the assessment of SSNs.AI can not only effectively assist radiologists in diagnosis and treatment,but also improve work efficiency while reducing misdiagnosis and missed diagnosis rates.This review summarizes the recent applications and research progress of AI in the assessment of SSNs,to provide new insights for the diagnosis and treatment of SSNs.

This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans ; Mendelian Randomization Analysis ; Gallstones/complications* ; Female ; Male ; Cholecystectomy/statistics & numerical data* ; Middle Aged ; Risk Factors ; Aged ; Adult ; Neoplasms/etiology* ; Stomach Neoplasms/epidemiology*

Isoflavones which mainly distributed in leguminous plants have plenty of health benefits.Isoflavone synthase(IFS)is a membrane-associated cytochrome P450 enzyme(CYP450)which carries out the unique aryl-ring migration and hydroxylation.So far,few crystal structures of plant P450s have been obtained.We determined the crystal structure of IFS from Medicago truncatula at 1.9 ? by MAD method using a selenomethionine substituted crystal and conducted molecular docking and mutagenesis study.The structure of IFS complexed with imidazole exhibits the helix Ⅰa-loop-helix Ⅰβ motif which cor-responds to helix Ⅰ of other P450s.Compared with structures of common P450s,IFS/imidazole structure contains an extra domain,i.e.,the γ-domain.The structure reveals a homodimer in which the γ-domain of one molecule interacts with the β-domain of another.The plane of heme group makes an angle of ap-proximately 40° with the helix Ⅰa-loop-helix Ⅰβ motif.Molecular docking combined with mutagenesis study suggested that Trp-128 and Asp-300 might play important roles in substrate binding and recogni-tion.Phe-301,Ser-303 and Gly-305 from the helix Ⅰa-loop-helix Ⅰβ motif may play important roles in the aryl-ring migration.These novel structural features reveal insights into the unique reaction mechanism of IFS and provide a basis for engineering IFS in leguminous crops for health purpose.

Objective:To investigate the application of time series models in forecasting pre-hospital emergency ambulance trips in Handan City and develop the LPro ensemble model for improved prediction accuracy to support emergency resource allocation.Methods:Pre-hospital emergency data from Handan Emergency Medical Command Center (2019-2023) were retrospectively analyzed. From 324 799 original records, 289 949 valid records were included after cleaning. The training set (2019-2022: 215 918 records) included 35 527 records in 2019, 52 015 in 2020, 61 836 in 2021, and 66 540 in 2022. The validation set (2023) contained 74 031 records. ARIMA, linear trend seasonal, exponential smoothing, and Prophet models were fitted to the training set. The LPro ensemble model was constructed using MAPE-based weighting (linear trend seasonal model: 0.38, Prophet: 0.62). Performance metrics included MAPE, RMSE, MAE, and R 2. Results:Data showed annual growth (compound annual growth rate 23.27%) and seasonal patterns (October peaks, February troughs). Ambulance dispatches increased annually with monthly cyclical patterns. For 2023 validation predictions: ARIMA (MAPE 8.76%, RMSE 619, MAE 491, R 2 0.4563), linear trend seasonal (MAPE 9.83%, RMSE 671, MAE 545, R 2 0.3608), Prophet (MAPE 8.43%, RMSE 562, MAE 503, R 2 0.5513), exponential smoothing (MAPE 8.08%, RMSE 643, MAE 410, R 2 0.4124). LPro model showed superior performance (MAPE 7.05%, RMSE 491, MAE 393, R 2 0.6570), with 16.37% lower MAPE, 12.63% lower RMSE, 21.87% lower MAE, and 19.17% higher R 2 versus Prophet. Conclusion:The LPro ensemble model substantially enhances prediction accuracy and reliability, offering scientific support for emergency resource optimization and dispatch scheduling in Handan City.

Bone defect repair is an urgent problem in the field of orthopedics,and numerous researchers are working to develop more effective treatment plans.The accurate evaluation of bone repair after surgery is a crucial step.In line with the development of computed tomography(CT)imaging,dual-energy CT imaging has shown significant advantages in analyzing bone composition and reducing metal artifacts.This article reviews the application of dual-energy CT imaging for the evaluation of bone repair in animals.

Objectives:To investigate the enhancement of tumor penetration and photodynamic therapy (PDT) efficacy in triple-negative breast cancer by hyaluronidase (HAase) using a novel pH-responsive IR780-loaded photosensitive micelle.Methods:The pH-responsive IR780-loaded photosensitive micelles were prepared using the nanoprecipitation method, and their morphology, size, and encapsulation efficiency were characterized. The in vitro stability and pH-responsive drug release of the micelles were also evaluated. The cytotoxicity of the micelles on triple-negative breast cancer cells (MDA-MB-231) was assessed using a cell counting kit. A nude mouse breast cancer model was established, and HAase was injected intratumorally 24 hours before intravenous injection of the photosensitive micelles. The effect of HAase on the biodistribution and tumor uptake of the micelles was detected using small animal in vivo imaging. CD31 and HIF-1α immunofluorescence staining were performed to investigate the mechanism of HAase-enhanced tumor penetration. The body weight and tumor volume of the mice were measured, and necrosis and apoptosis of tumor tissues were assessed using HE staining and TUNEL staining, respectively. Results:Transmission electron microscopy showed that the micelles had a uniform particle size of approximately 60-70 nm, with a hydrated particle size of (98.03±0.22) nm. The IR780 encapsulation efficiency was 74.15%, with a drug loading content of 2.07%. After 7 days at 4 ℃, there was no significant change in hydrated particle size ( P=0.062). The 24-hour release rates of the micelles in PBS at pH 7.4 and 6.5 were (2.41±0.21)% and (43.69±2.09)%, respectively, showing a significant difference ( P＜0.000 1). The cytotoxicity assay revealed that the cell viability in the micelles group without light exposure was significantly higer than that in the micelles group under light exposure [(97.00±5.38)% vs. (53.27±9.00)%, P=0.000 2]. The micelles were able to target and accumulate in the tumor tissue, and this accumulation increased significantly with HAase treatment. CD31 and HIF-1α immunofluorescence staining indicated that the CD31 signal was enhanced [(0.27±0.05)% vs. (4.57±0.27)%, P＜0.000 1] and the HIF-1α signal was reduced [(5.14±0.38)% vs. (0.08±0.04)%, P＜0.000 1] in the HAase-treated group compared to that in the micelle-only group. After 11 days of treatment with HAase combined with photosensitive micelles, there was no statistically significant difference in mouse body weight ( P＞0.05). However, the tumor volume inhibition rate in the HAase-micelle-mediated PDT group was significantly higher than that in the micelle-mediated PDT group [(87.66±6.37)% vs. (25.34±12.63)%, P=0.002]. Histological staining showed a significant increase in tumor cell necrosis and apoptosis in the HAase-micelle-mediated PDT group. Conclusion:HAase enhances the deep tumor penetration and targeted accumulation of pH-responsive IR780-loaded photosensitive micelles, significantly improves the efficacy of photodynamic therapy in triple-negative breast cancer.

Objective:To investigate the effects of Japan tallow(JT)on liver injury and gut microbiota regulation in type 2 diabetes mellitus(T2DM)mice,thereby providing a theoretical basis for developing therapeutic edible oils for diabetes treatment.Methods:T2DM animal model was established through a combined approach of nutritional intervention and chemical induction.Experimental animals were first fed a high-fat diet(HFD)for 6 weeks,followed by intraperitoneal injection of freshly prepared streptozotocin(STZ).After successful model establishment,the mice were divided into five groups(n=6 per group):control group without any intervention;T2DM group;HFD reversion to standard chow group;metformin group;and JT intervention group,which received respective treatments for 4 weeks.At the endpoint,fresh fecal samples were collected from all groups,and the gut microbiota composition was analyzed using 16s rDNA high-throughput sequencing.Liver histopathological changes were examined using histological methods.Results:Compared with the normal control(ND),T2DM mice showed significantly increased fasting blood glucose(FBG)levels,with evident hepatocyte lipid accumulation,steatosis,inflammatory cell infiltration,and widespread vacuolar and fatty degeneration.After Japan tallow(JT)intervention,FBG levels decreased significantly,liver color approximated normal appearance,and pathological morphology improved noticeably.16s rDNA sequencing analysis demonstrated that JT treatment could effectively regulate the intestinal microbiota structure in T2DM mice.Increased microbial α-diversity indices(Chao1,observed_species,Faith_pd,Simpson);At the phylum level,increased Verrucomicrobia abundance while decreased Proteobacteria were detected;At the family level,elevated Bifidobacteriaceae and reduced Porphyromonadaceae were seen;At the genus level,Bifidobacterium was promoted and Akkermansia proliferat while Escherichia and Klebsiella were downregulated.Conclusions:Japan tallow exhibits significant effects in alleviating liver tissue damage and regulating intestinal microbiota disorders in T2DM mice,our study indicated new theoretical basis for the research and development of potential strategy for diabetes.