OBJECTIVE To prepare an intelligent responsive liposome-hydrogel nanopreparation co-loaded with gambogic acid （GA）， and characterize its antitumor activity in vitro . METHODS GA-ICG-Lip-gel was prepared by ethanol injection and cold dissolution， incorporating GA and the photosensitizer indocyanine green （ICG）. The appearance and microscopic morphology of GA-ICG-Lip-gel were observed， its encapsulation efficiency and drug loading capacity were measured， and its photothermal conversion performance， photothermal stability， and infrared imaging properties were investigated， along with the determination of its in vitro release profile. Human breast cancer MCF-7 cells were used as objects to investigate the effects of GA-ICG-Lip-gel （or with near-infrared light irradiation） on cell viability， migration ability， and the cellular uptake capacity of GA-ICG-Lip-gel. RESULTS GA-ICG-Lip-gel existed in a solution state at room temperature and transformed into a gel state at 37 ℃. Its microstructure was dense with small pores， and its encapsulation efficiency and drug loading were （96.07±0.86） % and （6.28±1.16） %， respectively. After exposure to near-infrared light， the temperature of GA-ICG-Lip-gel rose above 42 ℃， with no significant attenuation observed in the heating curve. The heating efficiency was dependent on both the irradiation time and drug concentration. Compared to media without gelatinase， the cumulative release rate of GA-ICG-Lip-gel increased in media containing gelatinase. In vitro studies showed that GA-ICG-Lip-gel could be efficiently taken up by MCF-7 cells； GA-ICG-Lip-gel significantly inhibited the viability and migration ability of MCF-7 cells （ P ＜0.05）， and this inhibitory effect was further enhanced under near-infrared light irradiation. CONCLUSIONS This study successfully prepares GA-ICG-Lip-gel， which exhibits favorable photothermal conversion properties and temperature/enzyme dual-responsive drug release characteristics， and demonstrates significant inhibitory effects on the proliferation and migration of breast cancer cells.

Objective: To investigate the factors influencing intraoperative blood transfusion in patients with hip fractures and to develop a machine learning (ML) model for predicting this risk. Methods: A total of 424 patients with hip fractures who underwent surgical treatment between November 2022 and March 2025 in our hospital were selected. Key feature variables of intraoperative blood transfusion risk were identified using the Boruta algorithm. Four different ML algorithms—support vector machine (SVM), linear discriminant analysis (LDA), mixed discriminant analysis (MDA), and extreme gradient boosting (XGBoost)—were used to develop predictive models for intraoperative blood transfusion risk. The predictive performance of the four ML models were evaluated using accuracy, precision, receiver operating characteristic (ROC) curves, precision-recall curves (PRC), precision-recall gain curves (PRGC), and F1 scores. Shapley additive interpretation (SHAP) was used to interpret the final model. Results: Among the 424 patients, 77(18.2%) received intraoperative blood transfusion. The Boruta algorithm identified albumin (ALB), activated partial thromboplastin time (APTT), types of anesthesia, types of fracture, and hemoglobin (Hb) as key feature variables for predicting intraoperative blood transfusion risk. In model evaluation, the SVM model outperforms the other three models across multiple metrics, including the area under the receiver operating characteristic curve (AUC), recall, recall gain, accuracy, precision, F1 score, and the area under the precision-recall curve (PRC-AUC). The SVM model, interpreted and visualized based on SHAP values, effectively predicted intraoperative blood transfusion risk in patients with hip fracture. A visual online application was developed based on the SVM model (https://pbo-nomogram.shinyapps.io/blood/). Conclusion: Preoperative low ALB and Hb levels, prolonged APTT, general anesthesia, and intertrochanteric fractures are risk factors for intraoperative blood transfusion in hip fracture patients. The risk prediction model for intraoperative blood transfusion constructed based on the SVM algorithm has optimal performance, which provides new ideas and methods for the clinical early identification of hip fracture patients with high transfusion risk and the implementation of targeted interventions.

This paper proposes a two-stage method integrating visual foundation models （VFM） and diffusion models. The segment anything model （SAM） as VFM is combined with the SegRefiner diffusion model to construct the SAM-SegRefiner framework for automated segmentation of edema， inflammation， and thrombus regions in histopathological images of hemorrhoidal tissue， providing a reproducible technical tool for the objective quantification of pathological morphology and its application in traditional Chinese medicine （TCM） syndrome research. Trained and validated on multi-center retrospective data， the SAM-SegRefiner model achieved an average pixel accuracy of 95.32% and a mean intersection over union （mIoU） of 66.81% on an independent test set， significantly outperfor-ming comparative models such as U-Net， MixU-Net， and SAM-Med2D， and also demonstrating robust cross-center generalization capability. Furthermore， by correlating the quantitatively segmented results from the model with the patients' TCM syndrome types， the potential associations between pathomorphological features and TCM syndrome differentiation have been explored. The analysis revealed no statistically significant differences in the degree of inflammatory infiltration and thrombus formation among different syndrome types， suggesting a complex relationship between local pathological changes and systemic syndrome manifestations.

ObjectiveTo analyze the epidemiological characteristics of 8 major respiratory pathogens in influenza-like illness (ILI) cases with acute respiratory infections at fever clinics in Huangpu District, Shanghai from 2015 to 2024, and to provide a scientific basis for the prevention and treatment of respiratory diseases. MethodsA retrospective study was conducted in Huangpu District. Individuals meeting the case definition of ILI from 2015 to 2024 was registered. Their nasopharyngeal swabs were collected for pathogen detection. A total of 8 respiratory viruses were tested, including Influenza A virus (Flu A), Influenza B virus (Flu B), adenovirus (ADV), enterovirus/human rhinovirus (EV/HRV), human parainfluenza virus (HPIV), human coronavirus (HCoV), respiratory syncytial virus (RSV), and human metapneumovirus (HMPV). ResultsFrom 2015 to 2019, a total of 344 ILI cases were tested, of which 192 out of 344 cases (55.81%) were tested positive for single respiratory pathogen. From 2023 to 2024, 1 557 ILI cases were tested, with 572 out of 1 557 cases (36.74%) being positive for single pathogen. From 2023 to 2024, the positive rate of single pathogen in ILI cases was significantly lower than that in 2015‒2019 (χ²=42.66, P<0.001). Specifically, the positive rate of Flu A (χ²=74.43, P<0.001) decreased, while that of HPIV (χ²=8.66, P=0.003) increased, both with statistically significant differences. According to the seasonal pattern, the epidemic intensity of Flu A decreased in summer, while that of HPIV increased in summer and autumn. Demographic results showed statistically significant differences in the positive rates of EV/HRV between genders (χ²=22.38, P<0.001), with males exhibiting a higher positive rate than females. No statistically significant differences were identified in the positive rates of single pathogen among different age groups (χ²=4.42, P=0.110). Nevertheless, statistically significant differences were noted when comparing the positive rates of EV/HRV, Flu A, Flu B and HPIV across different age groups (P<0.05). EV/HRV was more commonly detected in the 15‒<25 age group (10.93%), while Flu A and HPIV had the highest positive rates in the ≥60 age group (21.24% and 4.77%). Flu B had the highest positive rate in the 25‒<60 age group (11.26%). 52.63% of cases with co-infections occurred during winter, with the primary pathogens involved being EV/HRV (9 cases) and HCoV (6 cases). The most prevalent combination of co-infection was Flu A with EV/HRV. ConclusionThe prevalence of respiratory pathogens among ILI cases from 2023 to 2024 exhibited notable fluctuations compared to that from 2015 to 2019. Therefore, influenza surveillance should be strengthened, and attention should also be paid to the prevalence of respiratory pathogens such as HPIV. These findings have profound implications for future research, surveillance, vaccine planning, and public health policy making.

Compared with traditional therapies for chronic liver disease （CLD）， Bifidobacterium has the characteristics of multi-target intervention， high biosafety， and good host compatibility and provides new strategies for intervention of CLD progression in terms of microecological regulation. Various studies have shown that Bifidobacterium regulates liver homeostasis and exerts a therapeutic effect on CLD by regulating intestinal flora， maintaining antioxidation， promoting energy consumption， alleviating inflammation， improving glycolipid metabolism， and exerting an antitumor effect. This article systematically reviews the studies on Bifidobacterium in the treatment of CLD in China and globally， explores their different mechanisms， and elaborates on the interaction between related signaling pathways （such as the nuclear factor erythroid 2-related factor 2 signaling pathway and the adenosine monophosphate-activated protein kinase signaling pathway） and the liver， in order to provide a basis for probiotic intervention in liver pathology， as well as new ideas for the comprehensive treatment of CLD.

OBJECTIVE To investigate the effects of galangin on rheumatoid arthritis （RA） in rats by regulating the Janus kinase 3 （JAK3）/signal transducer and activator of transcription 3 （STAT3） pathway. METHODS Fifty male SD rats were taken， and an emulsion composed of bovine type Ⅱ collagen and Freund’s complete adjuvant was injected subcutaneously to establish an induced arthritis model. The rats that were successfully modeled were randomly divided into model group， low， medium and high dose groups of galangin （1， 5， 15 mg/kg）， and methotrexate group （positive control， 2 mg/kg）， with 10 rats in each group. Another 10 normal rats were taken as the normal group. Starting from the 15th day of modeling， each group of rats was gavaged with the corresponding drug solution or normal saline containing 0.5% Tween 80 once a day for 28 consecutive days. The arthritis index （AI） scores and paw volume of rats were compared before and after gavage administration. Twenty-four hours after the last administration， the serum levels of interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， IL-4 and IL-10 were determined， the pathological changes in ankle joint synovial tissue were observed， and the protein expressions of UNC-51 like kinase 1 （ULK1）， Beclin-1， microtubule-associated protein 1 light chain 3 （LC3）， B cell lymphoma 2 （Bcl-2）， Bcl-2-associated X protein （Bax）， caspase-3， JAK3， phosphorylated JAK3 （p-JAK3）， STAT3 and phosphorylated STAT3 （p-STAT3） in the synovial tissue of the ankle joint were detected， as well as the fluorescence intensity of LC3-positive areas. RESULTS Compared with the model group， the pathological changes such as cellular proliferation of ankle joint synovial tissue and infiltration of inflammatory cells in rats of each administration group showed improvement. Moreover， their AI scores and paw pad volumes （on day 28 after gavage）， the levels of IL-6 and TNF-α， the protein expression of Bcl-2， and the phosphorylation levels of JAK3 and STAT3 were all significantly reduced （ P ＜0.05）. The levels of IL-4 and IL-10， the protein expressions of ULK1， Beclin-1， Bax， caspase-3 and LC3， as well as the fluorescence intensity of LC3-positive areas， were all significantly increased （ P ＜0.05）. Moreover， the effect of galangin was in a dose-dependent manner （ P ＜0.05）. CONCLUSIONS Galangin can induce sustained autophagy in synovial tissue cells of RA rats， promote cell apoptosis， inhibit synovial cell proliferation， and alleviate persistent inflammatory responses. The above anti-RA effects may be related to the inhibition of the JAK3/STAT3 pathway.

ObjectiveTo investigate the ameliorative effects and related mechanisms of the Zuogui Jiangtang Shuxin prescription （ZJSP） on glucose and lipid metabolism disorders in MKR mice with diabetic cardiomyopathy （DCM）， with a focus on elucidating its regulatory role on the adenosine monophosphate-activated protein kinase （AMPK）/forkhead box protein O1 （FoxO1）/cluster of differentiation 36 （CD36） signaling pathway and lipid deposition. MethodsFifty 8-week-old male MKR mice were fed a high-fat diet for four weeks and then intraperitoneally injected with streptozotocin （STZ） while maintaining a high-fat diet to establish a DCM model. The mice were randomly divided into the model group， the low-dose（14.43 g·kg^-1）and high-dose（28.86 g·kg^-1） ZJSP groups， and the metformin group （0.25 g·kg^-1）， with age-matched FVB mice as a normal control group. Each group received intragastric administration of normal saline or corresponding concentrations of ZJSP at equal volumes. After four weeks， fasting blood glucose （FBG） and cardiac function were measured. Blood was collected from the eyeballs under anesthesia to detect fasting insulin （FINS） and blood lipid levels. Myocardial tissue morphology was observed by hematoxylin-eosin （HE） staining， and lipid deposition in the heart was assessed using oil red O staining. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to measure the mRNA expression levels of AMPK， FoxO1， and CD36 in myocardial tissues. Western blot was employed to detect the protein expression levels of AMPK， p-AMPK， FoxO1， p-FoxO1， and CD36. ResultsCompared with the control group， the model group showed significantly increased levels of FBG and FINS （P<0.01）， elevated levels of triglycerides （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） （P<0.01）， and significantly decreased left ventricular ejection fraction （EF） and fractional shortening （FS） values （P<0.01）. HE staining revealed marked cardiomyocyte hypertrophy， disarray， and widened intercellular spaces in myocardial tissues. Oil Red O staining showed extensive red deposition areas and fine lipid droplet accumulation in the myocardial tissue. AMPK mRNA expression was decreased， while FoxO1 and CD36 mRNA expressions were significantly increased （P<0.01）. The p-AMPK/AMPK protein expression ratio in myocardial tissues was significantly reduced， while the p-FoxO1/FoxO1 protein expression ratio and CD36 protein expression levels were significantly increased （P<0.01）. Compared with the model group， all treatment groups exhibited significantly reduced FBG （P<0.01）， decreased FINS and blood lipid levels （TG， TC， LDL-C） （P<0.05， P<0.01）， improved cardiac function （P<0.05）， noticeable amelioration of myocardial histopathological morphology and lipid deposition， increased AMPK mRNA expression （P<0.01）， with significantly downregulated FoxO1 and CD36 mRNA expressions （P<0.01）， elevated p-AMPK/AMPK protein expression levels in myocardial tissue （P<0.05）， significantly decreased p-FoxO1/FoxO1 ratios （P<0.01）， and downregulated CD36 protein expression levels （P<0.05， P<0.01）. ConclusionZJSP exerts a protective effect on the heart in type 2 DCM of MKR mice， and its mechanism may be associated with the regulation of the AMPK/FoxO1/CD36 signaling pathway.

Pulmonary fibrosis（PF） is a progressive and life-threatening disease with limited therapeutic options， highlighting the urgent need for innovative drug discovery strategies. To address this challenge， the authors propose the formula-originated rational intelligent screening&translation（FIRST）， a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine（TCM）. The strategy integrates three key dimensions， including tissue-oriented intelligent screening of active compounds， structural optimization based on drug-target spatial interactions and plant biosynthetic pathways， and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM， the development and mechanistic elucidation of anti-fibrotic therapeutics， as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class， formula-derived monomeric drugs with defined structures， clarified mechanisms， and proven safety， offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.

ObjectiveTo investigate the ameliorative effects and related mechanisms of the Zuogui Jiangtang Shuxin prescription （ZJSP） on glucose and lipid metabolism disorders in MKR mice with diabetic cardiomyopathy （DCM）， with a focus on elucidating its regulatory role on the adenosine monophosphate-activated protein kinase （AMPK）/forkhead box protein O1 （FoxO1）/cluster of differentiation 36 （CD36） signaling pathway and lipid deposition. MethodsFifty 8-week-old male MKR mice were fed a high-fat diet for four weeks and then intraperitoneally injected with streptozotocin （STZ） while maintaining a high-fat diet to establish a DCM model. The mice were randomly divided into the model group， the low-dose（14.43 g·kg^-1）and high-dose（28.86 g·kg^-1） ZJSP groups， and the metformin group （0.25 g·kg^-1）， with age-matched FVB mice as a normal control group. Each group received intragastric administration of normal saline or corresponding concentrations of ZJSP at equal volumes. After four weeks， fasting blood glucose （FBG） and cardiac function were measured. Blood was collected from the eyeballs under anesthesia to detect fasting insulin （FINS） and blood lipid levels. Myocardial tissue morphology was observed by hematoxylin-eosin （HE） staining， and lipid deposition in the heart was assessed using oil red O staining. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to measure the mRNA expression levels of AMPK， FoxO1， and CD36 in myocardial tissues. Western blot was employed to detect the protein expression levels of AMPK， p-AMPK， FoxO1， p-FoxO1， and CD36. ResultsCompared with the control group， the model group showed significantly increased levels of FBG and FINS （P<0.01）， elevated levels of triglycerides （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） （P<0.01）， and significantly decreased left ventricular ejection fraction （EF） and fractional shortening （FS） values （P<0.01）. HE staining revealed marked cardiomyocyte hypertrophy， disarray， and widened intercellular spaces in myocardial tissues. Oil Red O staining showed extensive red deposition areas and fine lipid droplet accumulation in the myocardial tissue. AMPK mRNA expression was decreased， while FoxO1 and CD36 mRNA expressions were significantly increased （P<0.01）. The p-AMPK/AMPK protein expression ratio in myocardial tissues was significantly reduced， while the p-FoxO1/FoxO1 protein expression ratio and CD36 protein expression levels were significantly increased （P<0.01）. Compared with the model group， all treatment groups exhibited significantly reduced FBG （P<0.01）， decreased FINS and blood lipid levels （TG， TC， LDL-C） （P<0.05， P<0.01）， improved cardiac function （P<0.05）， noticeable amelioration of myocardial histopathological morphology and lipid deposition， increased AMPK mRNA expression （P<0.01）， with significantly downregulated FoxO1 and CD36 mRNA expressions （P<0.01）， elevated p-AMPK/AMPK protein expression levels in myocardial tissue （P<0.05）， significantly decreased p-FoxO1/FoxO1 ratios （P<0.01）， and downregulated CD36 protein expression levels （P<0.05， P<0.01）. ConclusionZJSP exerts a protective effect on the heart in type 2 DCM of MKR mice， and its mechanism may be associated with the regulation of the AMPK/FoxO1/CD36 signaling pathway.

Pulmonary fibrosis（PF） is a progressive and life-threatening disease with limited therapeutic options， highlighting the urgent need for innovative drug discovery strategies. To address this challenge， the authors propose the formula-originated rational intelligent screening&translation（FIRST）， a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine（TCM）. The strategy integrates three key dimensions， including tissue-oriented intelligent screening of active compounds， structural optimization based on drug-target spatial interactions and plant biosynthetic pathways， and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM， the development and mechanistic elucidation of anti-fibrotic therapeutics， as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class， formula-derived monomeric drugs with defined structures， clarified mechanisms， and proven safety， offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.