AIM:To investigate the effect of apoptosis stimulation protein 2(ASPP2)on the development of traumatic proliferative vitreoretinopathy(PVR)in a rabbit model.METHODS:A total of 30 New Zealand white rabbits were selected, and the right eyes of all rabbits were inflicted with a scleral penetrating wound of approximately 6 mm. Then rabbits were randomly and evenly divided into experimental and control group. The experimental group received an intravitreal injection of 0.1 mL of ARPE-19 cell suspension transfected with lentivirus-ASPP2, while the control group received an intravitreal injection of 0.1 mL of ARPE-19 cell suspension transfected with negative control lentivirus. At 1, 2, 3, and 4 wk after PVR modeling, a handheld tonometer was used to measure the intraocular pressure. Moreover, fundus photography and ocular ultrasound examination were performed to detect the retinal proliferation. At 4 wk after modeling, hematoxylin-eosin staining was used to observe the morphological retinal changes, and Western blot was used to determine the protein expressions of ASPP2 and the epithelial-mesenchymal transition(EMT)marker Vimentin in the rabbit retinas.RESULTS:At 1, 2, 3, and 4 wk after modeling, there were no significant changes in intraocular pressure within the experimental and control group of rabbit eyes, either before or after PVR modeling, the success rate of PVR modeling in the experimental group was lower than that in the control group(P<0.05), and the retinal proliferation and structural disorder was less severe in the experimental group. At 4 wk after modeling, the retinal protein expression level of ASPP2 in the experimental group was significantly higher than that in the control group(t=3.193, P=0.033), while the Vimentin protein expression level was significantly lower in the experimental group(t=-3.599, P=0.023).CONCLUSION:ASPP2 may be involved in regulating the process of EMT in retinal pigment epithelial cells, thereby delaying the development and progression of traumatic PVR in rabbit eyes.

Chrysophanol(Chr)and physcion(Phy)are primary active ingredients of a well-known traditional Chinese medicine namely rhubarb(Chinese name:Dahuang),and their glucuronides have been revealed as the dominant forms presenting in rats after oral administration.Either Chr or Phy has two glycosylation sites,resulting in a pair of positional isomers for glucuronides of either compound(CG1&CG2 and PG1&PG2).To confirmatively identify these glucuronides,energy-resolved mass spectrometry(ER-MS)was used to pursue the fragmentation trajectories of the targeted fragment ions,and the resultant breakdown graphs that were described by the optimal collision energy(OCE)were expected to exhibit the differences of glycosidic bond cleavage between the isomers.Quantum chemical calculation was thereafter conducted to produce the bond dissociation energy(BDE)of the glycosidic bonds.The isomers were unambiguously identified through applying the positive correlation rule between OCE and BDE.Fortunately,the glucuronides of Chr and Phy in vivo were observed through liver microsomes incubationin vitro.ER-MS was utilized to collect the Gaussian-shaped breakdown graphs in response to the neutral loss of 176 Da,and the absolute values of OCE were compared between positional isomers.The results revealed that CG1(-32.31 eV)>CG2(-31.61 eV),and nonetheless,PG1(-30.00 eV)Chr-8-GluA(-48.787 kJ/mol),and nonetheless,Phy-1-GluA(-48.672 kJ/mol)

Objective:To establish ferroptosis-related risk characteristics, to evaluate the prognostic correlation of ferroptosis-related genes in hepatocellular carcinoma, and to explore the complex relationship between hepatocellular carcinoma, ferroptosis and immune microenvironment.Methods:The bioinformatics analysis involved obtaining ferroptosis-related differentially expressed genes (DEGs) from the GeneCards database and the cancer genome atlas database. The biological functions of ferroptosis-related DEGs were analyzed using gene ontology and Kyoto encyclopedia of genes and genomes pathway enrichment. Ferroptosis-related DEGs clusters were identified using univariate Cox regression analysis and cluster analysis, etc. The correlation between ferroptosis-related DEGs clusters and tumor immune microenvironment and tumor occurrence score was evaluated using immunopanoramic analysis and tumor-related score analysis. Based on ferroptosis-related characteristics, a ferroptosis-related characteristic spectrum and nomogram were constructed using multivariate Cox regression and correlation analysis, etc. The correlation between the risk characteristics and tumor immune microenvironment, tumor occurrence score and gene mutation were evaluated using immune panoramic analysis, tumor-related score analysis and gene mutation analysis. In the experimental verification stage, the mRNA expression levels of aurora kinase A ( Aurka), acetyl-CoA carboxylase alpha ( Acaca) and arrestin domain containing 3 ( Arrdc3) in mouse primary hepatocytes and mouse hepatoma Hepa1-6 cells were verified by real-time reverse transcription-PCR (RT-qPCR). The mRNA expression levels of AURKA, ACACA and ARRDC3 in adjacent normal tissues and tumor tissues of patients with hepatocellular carcinoma were verified by RT-qPCR. A heat map was used to show the correlation between clustering and clinical parameters, and this was analyzed using a chi-square test. Significance analysis was performed using a two-sided unpaired t test. Results:A total of 35 up-regulated genes and 19 down-regulated genes were identified. These genes were mainly involved in biological processes and signaling pathways related to ferroptosis, oxidative stress and fatty acid metabolism. A total of 14 ferroptosis-related DEGs were identified to be associated with prognosis. The clusterring effect was best when hepatocellular carcinoma patients were divided into two subgroups. The survival rate of cluster 2 was lower than that of cluster 1 ( P<0.05). There was no significant difference in the tumor immune dysfunction and exclusion (TIDE) score between cluster 2 and cluster 1 ( P=0.43). Cluster 1 exhibited higher levels of immune cell infiltration, particularly CD4 + T cells ( P<0.01). The expression levels of 10 major histocompatibility complex (MHC) molecule-related genes were higher in cluster 1. The angiogenesis activity score ( P=0.048) and stemness score ( P=0.038) of cluster 2 were increased, and the expression levels of programmed death-1 ( PDCD1) and cytotoxic T lymphocyte-associated antigen-4 ( CTLA-4) in cluster 2 (5.924±0.013 and 5.475±0.042) were higher than those in cluster 1 (4.539±0.143 and 4.372±0.176) (both P<0.05). The expression levels of AURKA, glucose-6-phosphate dehydrogenease ( G6PD), ACACA, GABA type A receptor associated protein like 1 ( GABARAPL1) and ARRDC3 were correlated with the T stage, clinical stage and survival status of hepatocellular carcinoma. The survival rate of the high-risk group was lower than that of the low-risk group with time ( P<0.01). The area under the curve of the risk characteristics at 1, 3 and 5 years was 0.797, 0.717 and 0.639, respectively. The actual survival time 1, 3, and 5 years was highly consistent with the corresponding predicted survival time. The levels of memory B cell infiltration, angiogenesis activity score and cell stemness score, programmed death-ligand 1, CTLA-4, hepatitis A virus cell receptor 2, lymphocyte activation gene 3 and PDCD1 gene expression (0.013 8±0.036 0, 0.884±0.212, 0.387±0.135, 6.273±0.228, 5.847±0.331, 8.179±0.259, 6.859±0.263 and 5.142±0.326) in the high-risk group were higher than those in the low-risk group (0.001 5±0.021 0, 0.874±0.132, 0.298±0.125, 5.866±0.132, 3.742±0.237, 7.236±0.321, 6.324±0.242 and 4.513±0.211) ( P<0.05, 0.01). The expression levels of MHC molecule-related genes in the high-risk group were also higher than those in the low-risk group ( P<0.05, 0.01), while the infiltration levels of resting mast cells, activated natural killer cells, and resting natural killer cells (0.043 2±0.135 0, 0.032 1±0.143 0 and 0.016 3±0.001 9) and the TIDE score (0.072 0±0.018 0) in the high-risk group were lower than those in the low-risk group (0.054 9±0.023 0, 0.042 7±0.017 0, 0.024 6±0.021 2 and 0.094 0±0.013 5) ( P<0.05, 0.01). The top five genes with the highest mutation frequency in the high-risk group were tumor protein P53 ( TP53, 43%), titin ( TTN, 21%), catenin beta 1 ( CTNNB1, 20%), mucin 16 ( MUC16, 18%) and piccolo presynaptic cytomatrix protein ( PCLO, 11%). The top five genes with the highest mutation frequency in the low-risk group were CTNNB1 (30%), TTN (24%), albumin ( ALB, 16%), MUC16 (15%) and PCLO (11%). The cube protein and PCLO showed the co-occurrence of gene mutations in the high-risk group, while MUC16 and axis 1 protein showed the co-occurrence of gene mutations in the low-risk group. There was no significant difference in tumor mutation burden (TMB) between the high-risk group (1.374±0.026) and the low-risk group (1.303±0.081) ( P=0.073). There was no significant difference in survival time between the high-TMB group (2.3 years) and the low-TMB group (3.8 years) ( P=0.293). The mutation rates of AURKA, G6PD, ACACA, GABARAPL1 and ARRDC3 genes (2.0%, 2.0%, 4.0%, 0.3% and 0.6%) were relatively low. The relative expression levels of Aurka, Acaca and Arrdc3 mRNA in Hepa1-6 cells (13.331±0.000, 6.619±0.000 and 1.209±0.002) were higher than those in mouse primary hepatocytes (1.000±0.000, 1.000±0.000 and 1.000±0.000) (all P<0.01). The relative expression levels of AURKA, ACACA and ARRDC3 mRNA in tumor tissues of patients with hepatocellular carcinoma (2.102±0.365, 2.476±0.351 and 11.460±9.189) were higher than those in adjacent normal tissues of patients with hepatocellular carcinoma (1.122±0.648, 0.831±0.935 and 0.852±0.171) ( P<0.05, 0.01). Conclusions:This study constructed a prognostic signature comprising five ferroptosis-related genes ( AURKA, G6PD, ACACA, GABARAPL1, and ARRDC3) that is highly correlated with clinical hepatocellular carcinoma data. This study highlights the significance of ferroptosis-related genes as prognostic markers for hepatocellular carcinoma and provides insights into the complex relationship between hepatocellular carcinoma, ferroptosis, and the immune microenvironment.

Luxembourg boasts a strategically advantageous geographical location, a robust economic foundation, and an open cultural environment, all of which serve as essential pillars for the promotion of TCM. Its population is diverse and enjoys a significantly high average life expectancy; however, it faces notable health challenges such as chronic diseases, excessive alcohol consumption, obesity, and an aging population. The citizens benefit from extensive medical coverage, access to high-quality healthcare services, and substantial public investment in healthcare. Modern medicine forms the backbone of its healthcare system while traditional therapies, such as acupuncture and moxibustion, play a complementary role as alternative treatments. The development of TCM in Luxembourg has been influenced by neighboring countries, promoted by TCM experts, and supported by the government. At present, TCM is mainly regulated in Luxembourg based on modern medical regulations and relevant EU standards. Its clinical application in health care and chronic disease management has become increasingly important. Relevant education and training are also gradually promoted through international cooperation with the support of the government. It is suggested to promote the establishment of relevant legal norms of local TCM; promote the service and application of TCM to continuously adapt to market demand and sustainable development; increase support to deepen the research and education of TCM, and realize the in-depth promotion and application of TCM in Luxembourg and even in Europe.

In order to compare the differences in growth and secondary metabolite accumulation of Panax quinquefolius between understory and field planting, growth indexes, photosynthetic characteristics, soil enzyme activities, secondary metabolite contents, and antioxidant activities of P. quinquefolius under different planting modes were examined and compared, and One-way analysis of variance(ANOVA) and correlation analyses were carried out by using the software SPSS 25.0 and GraphPad Prism 9.5. The Origin 2021 software was used for plotting. The results showed that compared with those under field planting, the plant height, leaf length, leaf width, photosynthetic rate, and chlorophyll content of P. quinquefolius under understory planting were significantly reduced, and arbuscular mycorrhizal fungi(AMF) infestation rate and infestation intensity, ginsenoside content, and antioxidant activity were significantly increased. The activities of inter-root soil urease, sucrase, and catalase increased, while the activities of non-inter-root soil urease and alkaline phosphatase increased. Correlation analyses showed that the plant height and leaf length of P. quinquefolius plant were significantly positively correlated with net photosynthetic rate, transpiration rate, chlorophyll content, and electron transfer rate(P<0.05), while ginsenoside content was significantly negatively correlated with net photosynthetic rate, chlorophyll content, and electron transfer rate(P<0.05) and significantly positively correlated with AMF infestation rate and infestation intensity(P<0.05). In addition, ginsenoside content was significantly positively correlated with the activities of inter-root soil sucrase, urease, and catalase(P<0.05). This study provides basic data for revealing the mechanism of secondary metabolite accumulation in P. quinquefolius under understory planting and for exploring and practicing the ecological mode of P. quinquefolius under understory planting.
Panax/microbiology* ; China ; Secondary Metabolism ; Soil/chemistry* ; Photosynthesis ; Plant Leaves/metabolism* ; Chlorophyll/metabolism* ; Mycorrhizae

To investigate the mechanism of Jianpi Qutan Formula in regulating the balance between classically activated macrophages(M1) and alternatively activated macrophages(M2) in atherosclerotic plaques through phosphorylation and activation of the signal transducer and activator of transcription 6(STAT6), thereby reducing inflammation, increasing plaque stability, and exerting anti-atherosclerosis(AS) effects. An AS model was established by feeding apolipoprotein E(ApoE)~(-/-) mice with atherosclerotic chow for 8 weeks. The ApoE~(-/-) mice were randomly divided into a model group(Mod group), a Jianpi Qutan Formula group(JPQT group, 8.97 g·kg~(-1)), and a Atorvastatin Calcium Tablets group(ATO group, 1.3 mg·kg~(-1)) according to a random table method, with 10 mice in each group. Additionally, 10 male C57BL/6J mice of the same age, fed with a normal diet, were set as the control group(Con group). The JPQT and ATO groups received their respective treatments via oral gavage for 8 consecutive weeks, while the Con and Mod groups were administered an equivalent volume of saline. Body weight was continuously monitored, and after blood collection, total cholesterol(TC) and triglyceride(TG) levels in the serum of each group were compared. Hematoxylin-eosin(HE) staining and oil red O staining were used to observe plaque formation in aortic tissue. Enzyme-linked immunosorbent assay(ELISA) was employed to detect the expression levels of pro-inflammatory cytokines interleukin(IL)-6 and IL-12, as well as the anti-inflammatory cytokine IL-10. Immunofluorescence was used to detect the positive expression of aortic cluster of differentiation(CD)86 and CD206. Western blot analysis was conducted to detect the protein expression levels of aortic inducible nitric oxide synthase(iNOS), arginase 1(Arg1), STAT6, and p-STAT6. Compared to the Con group, the Mod group exhibited increased body weight and blood lipid levels, disordered aortic structure, significant AS plaque formation accompanied by extensive lipid deposition, and elevated serum levels of pro-inflammatory cytokines IL-6 and IL-12, as well as elevated CD86 and iNOS protein levels. In contrast, the serum levels of the anti-inflammatory cytokine IL-10, along with the protein expression levels of CD206, Arg1, and p-STAT6/STAT6, were reduced. Compared to the Mod group, the drug intervention groups showed improvements in body weight and lipid metabolism, with a more significant improvement in aortic structure, reduced lipid accumulation, decreased serum levels of IL-6 and IL-12, and lower CD86 and iNOS protein levels. Meanwhile, levels of IL-10, CD206, Arg1, and p-STAT6/STAT6 increased. Jianpi Qutan Formula improves AS by regulating the imbalance in M1/M2 macrophage polarization, and its mechanism is likely closely related to the activation of the STAT6 signaling pathway.
Animals ; Atherosclerosis/metabolism* ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Macrophages/cytology* ; Mice, Inbred C57BL ; STAT6 Transcription Factor/immunology* ; Humans ; Apolipoproteins E/genetics* ; Interleukin-6/immunology*

Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning ; Drugs, Chinese Herbal/standards* ; Quality Control ; Medicine, Chinese Traditional/standards* ; Humans

Amid the global wave of digital economy, China's medical artificial intelligence applications are rapidly advancing through technological innovation and policy support, while facing multifaceted evaluation and regulatory challenges. The dynamic algorithm evolution undermines the consistency of assessment criteria, multimodal systems lack unified evaluation metrics, and conflicts persist between data sharing and privacy protection. To address these issues, the China National Health Development Research Center has established a value assessment framework for artificial intelligence medical technologies, formulated the country's first technical guideline for clinical evaluation, and validated their practicality through scenario-based pilot studies. Furthermore, this paper proposes introducing a "regulatory sandbox" model to test technical compliance in controlled environments, thereby balancing innovation incentives with risk governance.
Artificial Intelligence/legislation & jurisprudence* ; China ; Humans ; Algorithms

Objective To explore the current status of medical technology anxiety experienced by elder-ly patients during the use of digital healthcare technology and its influencing factors.Methods A convenience sampling method was used to select 552 elderly patients from 10 hospitals in Liaoning Province as study sub-jects.A cross-sectional survey was conducted using the technology anxiety scale,ehealth literacy scale,self-ef-ficacy scale,and family APGAR index.Results The smart healthcare medical technology anxiety scale score for older patients was(44.93±14.30)points,and the ehealth literacy scale score was(25.29±9.61)points.Smart healthcare medical technology anxiety in older patients was negatively correlated with ehealth literacy,self-efficacy,and family care index(r=-0.299,-0.336,-0.304,P<0.01).Multiple linear regression showed that age,education level,living situation,monthly income,household registration,presence of chronic disease,ehealth literacy,self-efficacy,and family care index were influencing factors for smart healthcare medi-cal technology anxiety in older patients(P<0.05),collectively explaining 35.8%of the variance.Conclusion Ol-der patients exhibit a moderate-to-high level of smart healthcare medical technology anxiety,while their ehealth litera-cy remains at a low level.

Computational approaches, encompassing both physics-based and machine learning (ML) methodologies, have gained substantial traction in drug repurposing efforts targeting specific therapeutic entities. The human dopamine (DA) transporter (hDAT) is the primary therapeutic target of numerous psychiatric medications. However, traditional hDAT-targeting drugs, which interact with the primary binding site, encounter significant limitations, including addictive potential and stimulant effects. In this study, we propose an integrated workflow combining virtual screening based on weighted holistic atom localization and entity shape (WHALES) descriptors with in vitro experimental validation to repurpose novel hDAT-targeting drugs. Initially, WHALES descriptors facilitated a similarity search, employing four benztropine-like atypical inhibitors known to bind hDAT's allosteric site as templates. Consequently, from a compound library of 4,921 marketed and clinically tested drugs, we identified 27 candidate atypical inhibitors. Subsequently, ADMETlab was employed to predict the pharmacokinetic and toxicological properties of these candidates, while induced-fit docking (IFD) was performed to estimate their binding affinities. Six compounds were selected for in vitro assessments of neurotransmitter reuptake inhibitory activities. Among these, three exhibited significant inhibitory potency, with half maximal inhibitory concentration (IC₅₀) values of 0.753 μM, 0.542 μM, and 1.210 μM, respectively. Finally, molecular dynamics (MD) simulations and end-point binding free energy analyses were conducted to elucidate and confirm the inhibitory mechanisms of the repurposed drugs against hDAT in its inward-open conformation. In conclusion, our study not only identifies promising active compounds as potential atypical inhibitors for novel therapeutic drug development targeting hDAT but also validates the effectiveness of our integrated computational and experimental workflow for drug repurposing.