BACKGROUND:Ferroptosis is a mode of programmed cell death distinct from apoptosis,necrosis,and other novel cellular deaths,which occurs mainly due to accumulated lipid peroxidation.Ferroptosis has been shown to be involved in the pathological process following subarachnoid hemorrhage.Baicalein,serving as an adept sequestered of iron,evinces its prowess by quelling lipid peroxidative cascades.Nonetheless,the enigma lingers as to whether baicalein possesses the capacity to ameliorate neuronal ferroptosis,elicited in the wake of early brain injury after subarachnoid hemorrhage. OBJECTIVE:To investigate the effect and mechanism of baicalein on neuronal ferroptosis after subarachnoid hemorrhage. METHODS:Primary neuronal cells were extracted from C57BL/6L fetal mice at 16-17 days of gestation.Hemoglobin was used to stimulate primary neuronal cells to simulate an in vitro subarachnoid hemorrhage model.The viability of primary neuronal cells treated with baicalein at concentrations of 5,15,25,50,and 100 μmol/L for 24 hours was detected by CCK-8 assay to determine the optimal concentration of baicalein.Primary neuronal cells were divided into control group,hemoglobin group,and hemoglobin+baicalein group.The levels of reactive oxygen species and malondialdehyde in cells were detected by kits.The mRNA expressions of ferroptosis-related markers PTGS2,SLC7A11,and glutathione peroxidase 4 were detected by RT-PCR.The primary neuronal cells were further divided into control group,SLC7A11 inhibitor Erastin group,hemoglobin group,hemoglobin+baicalein group,and hemoglobin+baicalein+Erastin group.The expression of the ferroptosis related markers SLC7A11 and glutathione peroxidase 4 was detected by western blot assay. RESULTS AND CONCLUSION:(1)Baicalein(25 μmol/L)was selected as the following experimental concentration.(2)Compared with the hemoglobin group,the level of malondialdehyde and the level of reactive oxygen species were significantly decreased(P<0.05)in the hemoglobin+baicalein group.(3)Compared with the hemoglobin group,the mRNA expression of PTGS2 significantly decreased,and the mRNA expression of SLC7A11 and glutathione peroxidase 4 significantly increased(P<0.000 1)in the hemoglobin+baicalein group.(4)SLC7A11 inhibitor Erastin could reverse the baicalin-improved ferroptosis effect to a certain extent(P<0.05).(5)The results showed that baicalein could alleviate the ferroptosis of neuronal cells after subarachnoid hemorrhage through the SLC7A11/GPX4 pathway.

To introduce the general thinking, guidelines, work objectives and elaboration process of the general technical requirements adopted by volume Ⅳ of the Chinese Pharmacopoeia 2025 Edition, and to summarize and figure out the main characteristics on dosage forms, physico-chemical testing, microbial and biological testing, reference standards and guidelines The newly revised general chapters of pharmacopoeia give full play to the normative and guiding role of the Chinese Pharmacopoeia standard, track the frontier dynamics of international drug regulatory science and the elaboration of monographs, expand the application of state-of-the-art technologies, and steadily promote the harmonization and unification with the ICH guidelines； further enhance the overall capacity of TCM quality control, actively implement the 3 R principles on animal experiments, and practice the concept of environmental-friendly； replace and/or reduce the use of toxic and hazardous reagents, strengthen the requirements of drug safety control This paper aims to provide a full-view perspective for the comprehensive, correct understanding and accurate implementation of general technical requirements included in the Chinese Pharmacopoeia 2025 Edition.

Objective: This study explored the regulatory effects of QiShen Yiqi Dropping Pills (QSYQ) on chronic heart failure (CHF) in rats and their related mechanisms based on the gut microbiota and reactive oxygen species (ROS)/thioredoxin interacting protein (TXNIP)/NOD-like receptor protein 3 (NLRP3) signaling pathway. Methods: Sixty-five SPF-grade male SD rats were used to establish a CHF model through subcutaneous multiple injections of isoproterenol (ISO) combined with exhaustion and food control methods. The modeled rats were randomly divided into model, captopril (5.30 mg/kg), and QSYQ low-, medium-, and high-dose groups (0.08, 0.16, and 0.32 g/kg, respectively), with 11 rats per group, plus a blank group of seven rats. The medication groups were given corresponding drugs by gavage, whereas the blank and model groups were administered an equivalent volume of purified water continuously for four weeks. Rat heart function was assessed via transthoracic echocardiography, and myocardial tissue pathology changes were observed through hematoxylin and eosin staining. Serum levels of brain natriuretic peptide (BNP), lipopolysaccharide (LPS), interleukin-18 (IL-18), and interleukin-1β (IL-1β) were measured using an enzyme-linked immunosorbent assay. Automated biochemical analyzers were used to determine creatine kinase (CK), lactate dehydrogenase (LDH), and MB isoenzyme of creatine kinase (CK-MB) content. Myocardial ROS levels were examined using flow cytometry; myocardial TXNIP and NLRP3 expression were detected using immunohistochemistry. Real-time qPCR and Western blotting were used to examine myocardial mRNA and protein expression of TXNIP, NLRP3, apoptosis-related spot-like protein (ASC), caspase-1, and IL-1β, as well as myocardial thioredoxin (Trx) and colonic tight junction proteins (zonula occludens-1, ZO-1), occludin, and claudin-5. Differences in the gut microbiota of the blank, model, and QSYQ high-dose groups were determined using high-throughput 16S rDNA sequencing. Results: Compared to the blank group, the model group exhibited significantly reduced left ventricular ejection fraction (LVEF) and left ventricular fraction shortening (LVFS) (P<0.01); increased serum BNP, LPS, IL-18, and IL-1β (P<0.01) levels; increased CK, LDH, and CK-MB (P<0.01) contents; visible myocardial tissue fibrous edema, wavy appearance, cytoplasmic loosening, round vacuolar degeneration, local tissue fibrous dissolution replaced by proliferative connective tissue, accompanied by inflammatory cell infiltration; significantly increased myocardial ROS levels (P<0.01); and significantly increased myocardial TXNIP and NLRP3 expression (P<0.01). TXNIP, NLRP3, ASC, caspase-1, and IL-1β mRNA and protein expression were significantly increased (P<0.05, P<0.01, respectively), whereas Trx, ZO-1, occludin, and claudin-5 expression was significantly decreased (P<0.01). Compared to the model group, the QSYQ high-dose group showed the most significant changes (P<0.05, P<0.01), with significant increases in LVEF and LVFS (P<0.01); significant decreases in serum BNP, LPS, IL-18, and IL-1β levels (P<0.01); significant reductions in CK, LDH, and CK-MB content (P<0.01); improved myocardial tissue damage; significantly decreased myocardial ROS levels (P<0.01); and significantly reduced myocardial TXNIP and NLRP3 expression (P<0.01). TXNIP, NLRP3, ASC, caspase-1, and IL-1β mRNA and protein expression were significantly decreased (P<0.05, P<0.01), whereas Trx, ZO-1, occludin, and claudin-5 expression was significantly increased (P<0.01). 16S rDNA sequencing results confirmed that the gut microbiota of rats changed after modeling and drug intervention, with significant differences in both α- and β-diversity. Compared to the blank group, at the family level, the abundance of Oscillospiraceae decreased (P<0.05), whereas the abundance of Lactobacillaceae increased. At the species level, the abundance of Segatella copri and Treponema succinifaciens increased, whereas the abundance of Kineothrix alysoides (P<0.05), Ruminococcus callidus, and Prevotellamassilia timonensis decreased. Compared to the model group, at the family level, the abundance of Oscillospiraceae increased (P<0.05) in the QSYQ high-dose group, whereas the abundance of Lactobacillaceae decreased. At the species level, the abundance of Segatella copri and Treponema succinifaciens decreased, whereas the abundance of Kineothrix alysoides increased (P<0.05). Conclusion QSYQ can regulate the relative abundance of symbiotic bacteria Kineothrix alysoides in the intestines, reduce serum LPS levels, inhibit the ROS/TXNIP/NLRP3 signaling pathway, and improve inflammatory responses, thereby exerting therapeutic effects on CHF.

Objective:To explore the effects of Jianpi Mixture on the glucose receptor/glucagon like peptide-1 (GLP-1)/5-hydroxytryptamine (5-HT) signaling pathway and the mechanism of Jianpi Mixture in improving visceral hypersensitivity in diarrhea-predominant irritable bowel syndrome (IBS-D) rats.Methods:Totally 40 healthy male SPF rats were divided into blank group, model group, Jianpi Mixture low- and high-dosage groups according to the random number table method, with 10 rats in each group. Except for the blank group, the rest of the rats were prepared by the "senna gavage combined with restraint stress" method to replicate the IBS-D spleen deficiency model. The aqueous extract of Jianpi Mixture was 2.52 and 7.56 g/kg in the low- and high-dosage groups, and the same volume of normal saline was given to the blank group and the model group, once a day, for 14 days. On the 1st, 7th and 14th days of administration, the body weight of rats was recorded, the fecal traits of the rats were scored with Bristol score, the visceral sensitivity of IBS-D rats was evaluated by the abdominal wall retraction reflex score (AWR) under rectal dilation, the morphology of colonic mucosal tissues was observed by HE staining, and the protein expressions of T1R2, SLGT1, GLUT2, GLP-1 and 5-HT in colon tissues were detected by immunohistochemical staining.Results:On the 1st, 7th and 14th days of administration, compared with the model group, the weight of the rats in the Jianpi Mixture high-dosage group increased ( P<0.05); on the 14th day of administration, the fecal Bristol score decreased significantly ( P<0.05) and the AWR score increased ( P<0.05); HE staining showed that the mucosal epithelium of colon tissue in the model group was slightly damaged, and local edema was visible. The pathological condition of colonic mucosa in the Jianpi Mixture low- and high-dosage groups was effectively improved; compared with the model group, the expressions of T1R2 and GLP-1 in the Jianpi Mixture low- and high-dosage groups increased ( P<0.05), and the expression of 5-HT decreased ( P<0.05); the protein expressions of GLUT2 and SGLT1 in the Jianpi Mixture high-dosage group increased ( P<0.05). Conclusion:Jianpi Mixture can treat spleen-deficiency IBS-D by restoring the normal expression of intestinal glucose receptors, regulating the secretion of GLP-1/5-HT, improving intestinal motility and alleviating visceral hypersensitivity.

BACKGROUND: G protein-coupled receptor kinase 2 (GRK2) could participate in the regulation of diverse cells via interacting with non-G-protein-coupled receptors. In the present work, we explored how paroxetine, a GRK2 inhibitor, modulates the differentiation and activation of immune cells in rheumatoid arthritis (RA). METHODS: The blood samples of healthy individuals and RA patients were collected between July 2021 and March 2022 from the First Affiliated Hospital of Anhui Medical University. C57BL/6 mice were used to induce the collagen-induced arthritis (CIA) model. Flow cytometry analysis was used to characterize the differentiation and function of dendritic cells (DCs)/T cells. Co-immunoprecipitation was used to explore the specific molecular mechanism. RESULTS: In patients with RA, high expression of GRK2 in peripheral blood lymphocytes, accompanied by the increases of phosphatidylinositol 3 kinase (PI3K), protein kinase B (AKT), and mammalian target of rapamycin (mTOR). In animal model, a decrease in regulatory T cells (T regs ), an increase in the cluster of differentiation 8 positive (CD8 + ) T cells, and maturation of DCs were observed. Paroxetine, when used in vitro and in CIA mice, restrained the maturation of DCs and the differentiation of CD8 + T cells, and induced the proportion of T regs . Paroxetine inhibited the secretion of pro-inflammatory cytokines, the expression of C-C motif chemokine receptor 7 in DCs and T cells. Simultaneously, paroxetine upregulated the expression of programmed death ligand 1, and anti-inflammatory cytokines. Additionally, paroxetine inhibited the PI3K-AKT-mTOR metabolic pathway in both DCs and T cells. This was associated with a reduction in mitochondrial membrane potential and changes in the utilization of glucose and lipids, particularly in DCs. Paroxetine reversed PI3K-AKT pathway activation induced by 740 Y-P (a PI3K agonist) through inhibiting the interaction between GRK2 and PI3K in DCs and T cells. CONCLUSION Paroxetine exerts an immunosuppressive effect by targeting GRK2, which subsequently inhibits the metabolism-related PI3K-AKT-mTOR pathway of DCs and T cells in RA.
G-Protein-Coupled Receptor Kinase 2/metabolism* ; Arthritis, Rheumatoid/immunology* ; Animals ; Dendritic Cells/metabolism* ; Paroxetine/therapeutic use* ; Proto-Oncogene Proteins c-akt/metabolism* ; Mice ; Humans ; Mice, Inbred C57BL ; Signal Transduction/drug effects* ; Male ; Phosphatidylinositol 3-Kinases/metabolism* ; Lymphocyte Activation/drug effects* ; Female ; T-Lymphocytes/metabolism* ; Middle Aged

Hepatocellular carcinoma (HCC) is one of the fastest growing cancers in the world, ranking fourth among the causes of cancer-induced death in the world. At present, the field of HCC treatment is developing rapidly, and immunotherapy has been recognized as a promising treatment method, in which T cells play a key role in HCC immunotherapy. However, in the case of virus infection or in tumor microenvironment (TME), T cells will be continuously stimulated by antigens and then fall into the state of T cell exhaustion (Tex). This state will not only reduce the immunity of patients but also lead to poor efficacy of immunotherapy. Therefore, to deeply analyze the mechanism of Tex and to explore effective strategies to reverse Tex is the key point in the immunotherapy for HCC. This review aims to summarize the mechanism of Tex in HCC patients, and the current situation and shortcomings of drug research and development to reverse Tex at this stage, in order to provide theoretical basis for the optimization of immunotherapy regimen for HCC patients.
Humans ; Carcinoma, Hepatocellular/therapy* ; Liver Neoplasms/therapy* ; Immunotherapy/methods* ; T-Lymphocytes/immunology* ; Tumor Microenvironment/immunology* ; Animals ; T-Cell Exhaustion

ObjectiveTo analyze the distribution characteristics of traditional Chinese medicine （TCM） syndrome elements in different risk populations of heart failure complicated with type 2 diabetes. MethodsClinical data of 675 type 2 diabetes patients were retrospectively collected. Lasso-multivariate Logistic regression was used to construct a clinical prediction nomogram model. Based on this， 441 non-heart failure patients were divided into a low-risk group （325 cases） and a high-risk group （116 cases） according to the median risk score of heart failure complicated with type 2 diabetes. TCM diagnostic information （four diagnostic methods） was collected for both groups， and factor analysis was applied to summarize the distribution of TCM syndrome elements in different risk populations. ResultsLasso-multivariate Logistic regression analysis identified age， disease duration， coronary heart disease， old myocardial infarction， arrhythmia， absolute neutrophil count， activated partial thromboplastin time， and α-hydroxybutyrate dehydrogenase as independent risk factors for heart failure complicated with type 2 diabetes. These were used as final predictive factors to construct the nomogram model. Model validation results showed that the area under the curve （AUC） of the receiver operating characteristic （ROC） curve for the modeling group and validation group were 0.934 and 0.935， respectively. The Hosmer-Lemeshow test （modeling group P = 0.996， validation group P = 0.121） indicated good model discrimination. Decision curve analysis showed that the curves for All and None crossed in the upper right corner， indicating high clinical utility. The low-risk and high-risk groups each obtained 14 common factors. Preliminary analysis revealed that the main disease elements in the low-risk group were qi deficiency （175 cases， 53.85%）， dampness （118 cases， 36.31%）， and heat （118 cases， 36.31%）， with the primary locations in the spleen （125 cases， 38.46%） and lungs （99 cases， 30.46%）. In the high-risk group， the main disease elements were yang deficiency （73 cases， 62.93%）， blood stasis （68 cases， 58.62%）， and heat （49 cases， 42.24%）， with the primary locations in the kidney （84 cases， 72.41%） and heart （70 cases， 60.34%）. ConclusionThe overall disease characteristics in different risk populations of type 2 diabetes patients with heart failure are a combination of deficiency and excess， with deficiency being predominant. Deficiency and heat are present throughout. The low-risk population mainly shows qi deficiency with dampness and heat， related to the spleen and lungs. The high-risk population shows yang deficiency with blood stasis and heat， related to the kidneys and heart.

Immune checkpoint blockade (ICB) therapy has demonstrated significant efficacy in the treatment of various cancers. However, a subset of patients develops hyper-progressive disease (HPD) following ICB, which is characterized by accelerated tumor growth and poor clinical outcomes. This review outlines the clinical features, potential mechanisms, and possible intervention strategies of HPD, with the aim of informing clinical practice and providing relevant recommendations.
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Humans ; Immune Checkpoint Inhibitors/adverse effects* ; Neoplasms/therapy* ; Disease Progression ; Animals ; Immunotherapy

Natural product-based drug combinations (NPDCs) present distinctive advantages in treating complex diseases. While high-throughput screening (HTS) and conventional computational methods have partially accelerated synergistic drug combination discovery, their applications remain constrained by experimental data fragmentation, high costs, and extensive combinatorial space. Recent developments in artificial intelligence (AI), encompassing traditional machine learning and deep learning algorithms, have been extensively applied in NPDC identification. Through the integration of multi-source heterogeneous data and autonomous feature extraction, prediction accuracy has markedly improved, offering a robust technical approach for novel NPDC discovery. This review comprehensively examines recent advances in AI-driven NPDC prediction, presents relevant data resources and algorithmic frameworks, and evaluates current limitations and future prospects. AI methodologies are anticipated to substantially expedite NPDC discovery and inform experimental validation.
Artificial Intelligence ; Biological Products/chemistry* ; Humans ; Drug Combinations ; Drug Discovery/methods* ; Machine Learning ; Algorithms