OBJECTIVE: To investigate the anti-tumor effects of cinobufacini (CINO) on hepatocellular carcinoma (HCC) induced by des-gamma-carboxy-prothrombin (DCP) and to uncover the underlying mechanisms. METHODS: The inhibitory effect of CINO on HCC cell proliferation was evaluated using the cell counting kit-8 method, and the apoptosis rate was quantified using flow cytometry. Immunofluorescence and Western blot analyses were used to investigate the differential expression of proteins associated with cell growth, apoptosis, migration, and invasion pathways after CINO treatment. The therapeutic potential of CINO for HCC was confirmed, and the possibility of combining cinobufacini with c-Met inhibitor for the treatment of primary HCC was further validated by in vivo experiments. RESULTS: Under the induction of DCP, CINO inhibited the activity of HCC cells, induced apoptosis, and inhibited migration and invasion. Upon the induction of DCP, CINO regulated c-Met activation and the activation of the phosphatidylinositol-3 kinase/protein kinase B (PI3K/AKT) and mitogen-activated protein kinase kinase/extracellular signal-regulated kinase (MEK/ERK) pathways. In a mouse model of HCC, CINO exhibited significant antitumor effects by inhibiting the phosphorylation of c-Met and the downstream PI3K/AKT and MEK/ERK pathways in tumor tissues. CONCLUSIONS CINO inhibited HCC cell growth, promoted apoptosis, and suppressed HCC cell invasion and migration by targeting c-Met and PI3K/AKT and MEK/ERK signaling pathways under DCP induction.
Carcinoma, Hepatocellular/drug therapy* ; Proto-Oncogene Proteins c-met/metabolism* ; Liver Neoplasms/drug therapy* ; Signal Transduction/drug effects* ; Animals ; Humans ; Cell Movement/drug effects* ; Apoptosis/drug effects* ; Cell Proliferation/drug effects* ; Amphibian Venoms/therapeutic use* ; Cell Line, Tumor ; Neoplasm Metastasis ; Cell Survival/drug effects* ; Proto-Oncogene Proteins c-akt/metabolism* ; Phosphatidylinositol 3-Kinases/metabolism* ; Neoplasm Invasiveness ; Mice, Inbred BALB C ; Mice, Nude ; Mice ; Male ; Bufanolides/therapeutic use* ; Protein Precursors ; Prothrombin ; Biomarkers

Gene regulation relies on the precise binding of transcription factors (TFs) at regulatory elements, but simultaneously detecting hundreds of TFs on chromatin is challenging. We developed cFOOT-seq, a cytosine deaminase-based TF footprinting assay, for high-resolution, quantitative genome-wide assessment of TF binding in both open and closed chromatin regions, even with small cell numbers. By utilizing the dsDNA deaminase SsdAtox, cFOOT-seq converts accessible cytosines to uracil while preserving genomic integrity, making it compatible with techniques like ATAC-seq for sensitive and cost-effective detection of TF occupancy at the single-molecule and single-cell level. Our approach enables the delineation of TF footprints, quantification of occupancy, and examination of chromatin influences on TF binding. Notably, cFOOT-seq, combined with FootTrack analysis, enables de novo prediction of TF binding sites and tracking of TF occupancy dynamics. We demonstrate its application in capturing cell type-specific TFs, analyzing TF dynamics during reprogramming, and revealing TF dependencies on chromatin remodelers. Overall, cFOOT-seq represents a robust approach for investigating the genome-wide dynamics of TF occupancy and elucidating the cis-regulatory architecture underlying gene regulation.
Transcription Factors/genetics* ; Humans ; Chromatin/genetics* ; Animals ; Binding Sites ; Mice ; DNA Footprinting/methods*

The assessment of adverse drug events is an important basis for clinical safety evaluation and post-marketing risk control of drugs,and its causality assessment is gaining increasing attention.The existing methods for assessing the causal relationship between drugs and the occurrence of adverse reactions can be broadly classified into three categories:global introspective methods,standardized methods,and probabilistic methods.At present,there is no systematic introduction of the operational details of the various methods in the domestic literature.This paper compares representative causality assessment methods in terms of definition and concept,methodological steps,industry evaluation and advantages and disadvantages,clarifies the basic process of determining the causality of adverse drug reactions,and discusses how to further improve the adverse drug reaction monitoring and evaluation system,with a view to providing a reference for drug development and pharmacovigilance work in China.

Aim To explore the molecular mechanism of luteolin against acute lung injury by network phar-macology and molecular docking technology,and to conduct experimental verification.Methods The re-lated targets of luteolin were predicted by PubChem and Swiss Target Prediction databases.Acute lung in-jury-related targets were collected through the Gene-Cards database.Venny 2.1 was used to draw the Venn diagram,and the common targets of drug and disease were obtained.The protein interaction network(PPI)was established by String online platform,and the core targets were screened by Cytoscape 3.8.2 software.The functional enrichment analysis of Gene Ontology(GO)and pathway enrichment analysis of Kyoto Ency-clopedia of Gene and Genome(KEGG)were per-formed on the common targets using the DAVID data-base,and the results were visualized.Finally,molecu-lar docking was performed by Auto Dock software,and the molecular results were visualized by Pymol.The mouse acute lung injury model was constructed.HE staining was used to detect histopathology,and Western blot was used to detect lung tissue related proteins.Results After screening,85 common targets were ob-tained.Among them,the core targets were AKT1,EG-FR,SRC,MMP9,ESR1,PTGS2,etc.GO enrichment analysis obtained 265 biological processes,including signal transduction,protein phosphorylation,and nega-tive regulation of apoptosis.There were 48 cells,main-ly including plasma membrane,cell solute,cytoplasm,etc.There are 107 molecular functions,mainly inclu-ding ATP binding,protein serine/threonine/tyrosine ki-nase activity,protein kinase activity and so on.A total of 92 signaling pathway were obtained by KEGG path-way enrichment analysis,which mainly acted on PI3 K-AKT signaling pathway,ErbB signaling pathway,VEGF signaling pathway,etc.Molecular docking results showed that luteolin had good docking activity with core targets AKT1,EGFR,SRC,MMP9,ESR1,PTGS2,MMP2,GSK3 B,KDR and PARP1.The binding ener-gy of ERS1,GSK3B and MMP2 was lower than-5.0 kal·mol-1,and the affinity with luteolin was stronger.The pathological results of lung tissue showed that lute-olin could inhibit inflammatory infiltration and had a strong anti-inflammatory effect in LPS-induced acute lung injury model in mice.Western blot experiments showed that luteolin might alleviate the inflammatory response by inhibiting the phosphorylation of AKT.Conclusions Luteolin can play an anti-acute lung in-jury role through multi-target and multi-channel mecha-nisms,which may be closely related to the inhibition of AKT phosphorylation.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

The mixing process is a critical link in the formation of oral solid preparations of traditional Chinese medicine. This paper took the extract powder of Guizhi Fuling Capsules and Paeonol powder as research objects. The angle of repose, loose packing density, and particle size of the two powders were measured to calibrate discrete element simulation parameters for the mixing process. The discrete element method was used to calibrate the simulated solid density of Paeonol powder and extract powder of Guizhi Fuling Capsules based on the Hertz-Mindlin with JKR V2 contact model and particle scaling. The Plackett-Burman experimental design was used to screen out the critical contact parameters that had a significant effect on the simulation of the angle of repose. The regression model between the critical contact parameters and the simulated angle of repose was established by the Box-Behnken experimental design, and the critical contact parameters of each powder were optimized based on the regression model. The best combination of critical contact parameters of the extract powder of Guizhi Fuling Capsules was found to be 0.51 for particle-particle static friction coefficient, 0.31 for particle-particle rolling friction coefficient, and 0.64 for particle-stainless steel static friction coefficient. For Paeonol powder, the best combination of critical contact parameters was 0.4 for particle-particle static friction coefficient and 0.19 for particle-particle rolling friction coefficient. The best combination of contact parameters between Paeonol powder and extract powder of Guizhi Fuling Capsules was 0.27 for collision recovery coefficient, 0.49 for static friction coefficient, and 0.38 for rolling friction coefficient. The verification results show that the relative error between the simulated value and the measured value of the angle of repose of the two single powders is less than 1%, while the relative error between the simulated value and the measured value of the angle of repose of the mixed powder with a mass ratio of 1∶1 is less than 4%. These research results provide reliable physical property simulation data for the mixed simulation experiment of extract powder of Guizhi Fuling Capsules and Paeonol powder.
Wolfiporia ; Calibration ; Powders ; Medicine, Chinese Traditional ; Capsules

In this study, untargeted metabolomics was conducted using the liquid chromatography-tandem mass spectrometry(LC-MS/MS) technique to analyze the potential biomarkers in the plasma of mice with heart failure with preserved ejection fraction(HFpEF) induced by a high-fat diet(HFD) and nitric oxide synthase inhibitor(Nω-nitro-L-arginine methyl ester hydrochloride, L-NAME) and explore the pharmacological effects and mechanism of Jiming Powder in improving HFpEF. Male C57BL/6N mice aged eight weeks were randomly assigned to a control group, a model group, an empagliflozin(10 mg·kg~(-1)·d~(-1)) group, and high-and low-dose Jiming Powder(14.3 and 7.15 g·kg~(-1)·d~(-1)) groups. Mice in the control group were fed on a low-fat diet, and mice in the model group and groups with drug intervention were fed on a high-fat diet. All mice had free access to water, with water in the model group and Jiming Powder groups being supplemented with L-NAME(0.5 g·L~(-1)). Drugs were administered on the first day of modeling, and 15 weeks later, blood pressure and cardiac function of the mice in each group were measured. Heart tissues were collected for hematoxylin-eosin(HE) staining to observe pathological changes and Masson's staining to observe myocardial collagen deposition. Untargeted metabolomics analysis was performed on the plasma collected from mice in each group, and metabolic pathway analysis was conducted using MetaboAnalyst 5.0. The results showed that the blood pressure was significantly lower and the myocardial concentric hypertrophy and left ventricular diastolic dysfunction were significantly improved in both the high-dose and low-dose Jiming Powder groups as compared with those in the model group. HE and Masson staining showed that both high-dose and low-dose Jiming Powder significantly alleviated myocardial fibrosis. In the metabolomics experiment, 23 potential biomarkers were identified and eight strongly correlated metabolic pathways were enriched, including linoleic acid metabolism, histidine metabolism, alpha-linolenic acid metabolism, glycerophospholipid metabolism, purine metabolism, porphyrin and chlorophyll metabolism, arachidonic acid metabolism, and pyrimidine metabolism. The study confirmed the pharmacological effects of Jiming Powder in lowering blood pressure and ameliorating HFpEF and revealed the mechanism of Jiming Powder using the metabolomics technique, providing experimental evidence for the clinical application of Jiming Powder in treating HFpEF and a new perspective for advancing and developing TCM therapy for HFpEF.
Male ; Mice ; Animals ; Heart Failure/metabolism* ; Powders ; Stroke Volume/physiology* ; Chromatography, Liquid ; NG-Nitroarginine Methyl Ester/therapeutic use* ; Mice, Inbred C57BL ; Tandem Mass Spectrometry ; Metabolomics ; Biomarkers ; Water

It is the current confusion encountered by integrated Chinese and Western medicine that how to find the breakthrough direction of integrating Chinese and Western medicine， from crossover to integration to innovation， and open up a new horizon of integrated Chinese and Western medicine. The progress of Chinese medicine lay in expanding the scope of diagnosis and treatment with the help of modern diagnostic and therapeutic equipments and developing “micro” identification， while the progress of Western medicine lay in looking at “macro” and developing systemic medicine and integrated medicine， both of which are in the direction of each other. The “state-target identification and treatment” may become an important way to build a modern diagnosis and treatment system of integrated Chinese and Western medicine， and the thinking mode of “from target to state” is a further refinement and development on the basis of the theoretical system of “state-target identification and treatment”， which provided a clearer solution for the current stage of the integrated Chinese and Western medicine model， and pointed out the important development direction for the future integrated Chinese and Western medicine. From the perspective of strategic level and diagnosis and treatment practice， it integrated the “target-state” thinking mode into the modern diagnosis and treatment model of the integrated Chinese and Western medicine， i.e.， “Western medicine as the basis and treating with Chinese medicine； Chinese medicine as the basis and treating with Western medicine”. On the one hand， Western medicine should strengthen the reference to the traditional theories and holism of Chinese medicine， and advocate a higher level of education on the integrated Chinese and Western medicine under the guidance of the traditional theories of Chinese medicine. On the other hand， the “from target to state” mode of thinking should be applied to guide the establishment of diagnostic and treatment strategies and clinical selection of medicines in clinical practice， so as to locate the target and adjust the body state in a gradual and orderly manner， and to provide practical methods for the modern clinical work of the integrated Chinese and Western medicines. Chinese and Western medicine systems can learn from each other， combine organically， give full play to their respective strengths， and form an internal law， so as to make breakthroughs and innovations in the integrated Chinese and Western medicine model.

An UPLC-Q-TOF/MS^E technology coupled with UNIFI database was used to develop a rapid, high coverage, accurate and efficient chemical composition qualitative method for Xuezhikang Capsule. A UNIFI database was established utilizing compound name, formula, structure, following automatic matching with high-resolution mass numbers, isotope distributions, mass deviations, fragment ion matching, and chromatographic retention features in UNIFI database to achieve the qualitative results of natural products in Xuezhikang Capsules. Combined with manual confirmation, 82 chemical components were identified in Xuezhikang Capsules, and the MS² fragmentation pathway of typical organic acids, flavonoids, monacrines, and monascus were analyzed to ensure accuracy of the LC-MS workflow. This study clarified the chemical substance basis of Xuezhikang Capsules by LC-MS technology, providing experimental data support for the identification of key quality attributes, quality control and consistency evaluation in the manufacturing process of Xuezhikang Capsules.