ObjectiveThis paper aims to investigate the material basis of the anti-inflammatory efficacy and mechanism of action of Bushen Tongdu prescription （BSTDP）. MethodsThe chemical components of BSTDP and its blood-absorbed components in vivo were systematically identified by using ultra-performance liquid chromatography-linear ion trap-electrostatic field orbitrap high-resolution mass spectrometry （UPLC-LIT-Orbitrap-MS）. Network pharmacology was employed to screen blood-absorbed bioactive components and potential targets of this formula. A protein-protein interaction （PPI） network of core targets was constructed to conduct enrichment analysis. Molecular docking was further utilized to verify the binding affinity between key components and targets. The inflammatory model was established and verified in vivo by using a transgenic zebrafish Tg （mpx： GFP）. At three days post-fertilization （3 dpf）， larvae of zebrafish were randomly assigned to blank group， model group， positive drug dexamethasone acetate group （75 μmol·L^-1）， and BSTDP groups with low， medium， and high doses （500， 1 000， and 2 000 mg·L^-1）. The distribution and quantity of neutrophils in the yolk sac region were observed under a fluorescence microscope. The mRNA expression levels of key genes in the toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor kappa-B （NF-κB） signaling pathway and inflammatory factors including interleukin （IL）-1β， IL-6， and tumor necrosis factor-α （TNF-α） were detected by Real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsA total of 120 chemical components were identified in BSTDP， among which 26 original components were confirmed by using serum pharmacochemical methods. A total of 227 common targets linking rheumatoid arthritis （RA） and the blood-absorbed components were screened by network pharmacology. It is suggested that pseudobrucine， vomicine， sinapine， rehmannioside， cinnamyl alcohol glycoside， and methylephedrine exert anti-inflammatory effects by acting on core targets including protein kinase B1 （Akt1）， signal transducer and activator of transcription 3 （STAT3）， tumor necrosis factor （TNF）， TLR4， mitogen-activated protein kinase 14 （MAPK14）， and phosphatidylinositol-4，5-bisphosphate 3-kinase catalytic subunit α （PIK3CA）， thereby modulating multiple signaling pathways such as TLR4 and NF-κB. In vivo verification in zebrafish demonstrates that the maximum tolerable concentration of Bushen Tongdu Formula is 2 000 mg·L^-1. Compared to those in the blank group， zebrafish in the model group showed a significantly higher number of neutrophils in the yolk sac region （P<0.01） and rising mRNA levels of TLR4， MyD88， NF-κB， TNF-α， IL-6， and IL-1β （P<0.01）. Compared to that in the model group， the number of neutrophils was significantly reduced in BSTDP groups with medium and high doses， as well as the dexamethasone acetate group （P<0.05， P<0.01）. There was no statistically significant difference in the low dose group. The mRNA expression levels of TLR4， MyD88， NF-κB， TNF-α， IL-6， and IL-1β were significantly down-regulated （P<0.05， P<0.01）. ConclusionThis paper identifies the material basis of the efficacy of BSTDP， demonstrating that the formula can exert an anti-inflammatory effect through the TLR4/MyD88/NF-κB signaling pathway. The results provide scientific experimental evidence for its further clinical application.

Parkinson's disease （PD） is a complex neurodegenerative disease involving multiple systems and neurotransmitters. Due to the high clinical heterogeneity of PD，it is urgent to establish a comprehensive and long-term traditional Chinese medicine （TCM） management model. In this paper，the conceptual framework of full-cycle management of PD is preliminarily constructed：based on the evolution of the pathophysiological mechanisms of protein deposition and neurotransmitter disorder in PD，the three-stage syndrome characteristics of the prodromal stage （predominant healthy Qi with subtle pathogenic factors），the early clinical stage （declining healthy Qi with growing pathogenic factors） and the middle and late stages （overwhelming pathogenic factors with deficient healthy Qi） are longitudinally described. Through the syndrome differentiation of visceral manifestations，the etiology and pathogenesis of PD motor and non-motor symptoms were comprehensively analyzed，while the matching treatment methods and prescriptions were inferred，and the modular scheme of the combining main symptoms，accompanying symptoms and secondary symptoms was proposed. The conceptual gap of TCM regarding motor complications （'variable syndrome'） and PD-related hyperpyrexia syndrome （'critical syndrome'） was explained. This framework reflects the characteristics of combination of disease and syndrome and overall constant motion，and provides new theories and research ideas for individualized and whole-process management of PD in TCM.

ObjectiveThis paper aims to investigate the material basis of the anti-inflammatory efficacy and mechanism of action of Bushen Tongdu prescription （BSTDP）. MethodsThe chemical components of BSTDP and its blood-absorbed components in vivo were systematically identified by using ultra-performance liquid chromatography-linear ion trap-electrostatic field orbitrap high-resolution mass spectrometry （UPLC-LIT-Orbitrap-MS）. Network pharmacology was employed to screen blood-absorbed bioactive components and potential targets of this formula. A protein-protein interaction （PPI） network of core targets was constructed to conduct enrichment analysis. Molecular docking was further utilized to verify the binding affinity between key components and targets. The inflammatory model was established and verified in vivo by using a transgenic zebrafish Tg （mpx： GFP）. At three days post-fertilization （3 dpf）， larvae of zebrafish were randomly assigned to blank group， model group， positive drug dexamethasone acetate group （75 μmol·L^-1）， and BSTDP groups with low， medium， and high doses （500， 1 000， and 2 000 mg·L^-1）. The distribution and quantity of neutrophils in the yolk sac region were observed under a fluorescence microscope. The mRNA expression levels of key genes in the toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor kappa-B （NF-κB） signaling pathway and inflammatory factors including interleukin （IL）-1β， IL-6， and tumor necrosis factor-α （TNF-α） were detected by Real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsA total of 120 chemical components were identified in BSTDP， among which 26 original components were confirmed by using serum pharmacochemical methods. A total of 227 common targets linking rheumatoid arthritis （RA） and the blood-absorbed components were screened by network pharmacology. It is suggested that pseudobrucine， vomicine， sinapine， rehmannioside， cinnamyl alcohol glycoside， and methylephedrine exert anti-inflammatory effects by acting on core targets including protein kinase B1 （Akt1）， signal transducer and activator of transcription 3 （STAT3）， tumor necrosis factor （TNF）， TLR4， mitogen-activated protein kinase 14 （MAPK14）， and phosphatidylinositol-4，5-bisphosphate 3-kinase catalytic subunit α （PIK3CA）， thereby modulating multiple signaling pathways such as TLR4 and NF-κB. In vivo verification in zebrafish demonstrates that the maximum tolerable concentration of Bushen Tongdu Formula is 2 000 mg·L^-1. Compared to those in the blank group， zebrafish in the model group showed a significantly higher number of neutrophils in the yolk sac region （P<0.01） and rising mRNA levels of TLR4， MyD88， NF-κB， TNF-α， IL-6， and IL-1β （P<0.01）. Compared to that in the model group， the number of neutrophils was significantly reduced in BSTDP groups with medium and high doses， as well as the dexamethasone acetate group （P<0.05， P<0.01）. There was no statistically significant difference in the low dose group. The mRNA expression levels of TLR4， MyD88， NF-κB， TNF-α， IL-6， and IL-1β were significantly down-regulated （P<0.05， P<0.01）. ConclusionThis paper identifies the material basis of the efficacy of BSTDP， demonstrating that the formula can exert an anti-inflammatory effect through the TLR4/MyD88/NF-κB signaling pathway. The results provide scientific experimental evidence for its further clinical application.

Parkinson's disease （PD） is a complex neurodegenerative disease involving multiple systems and neurotransmitters. Due to the high clinical heterogeneity of PD，it is urgent to establish a comprehensive and long-term traditional Chinese medicine （TCM） management model. In this paper，the conceptual framework of full-cycle management of PD is preliminarily constructed：based on the evolution of the pathophysiological mechanisms of protein deposition and neurotransmitter disorder in PD，the three-stage syndrome characteristics of the prodromal stage （predominant healthy Qi with subtle pathogenic factors），the early clinical stage （declining healthy Qi with growing pathogenic factors） and the middle and late stages （overwhelming pathogenic factors with deficient healthy Qi） are longitudinally described. Through the syndrome differentiation of visceral manifestations，the etiology and pathogenesis of PD motor and non-motor symptoms were comprehensively analyzed，while the matching treatment methods and prescriptions were inferred，and the modular scheme of the combining main symptoms，accompanying symptoms and secondary symptoms was proposed. The conceptual gap of TCM regarding motor complications （'variable syndrome'） and PD-related hyperpyrexia syndrome （'critical syndrome'） was explained. This framework reflects the characteristics of combination of disease and syndrome and overall constant motion，and provides new theories and research ideas for individualized and whole-process management of PD in TCM.

ObjectiveTo establish a mouse model of hypoxic pulmonary hypertension (HPH) through intermittent hypoxia induction, and to develop a comprehensive and reliable evaluation system for the HPH model, thereby providing experimental evidence for mechanistic studies and translational applications related to this disease. MethodsTwenty-four male specific pathogen-free (SPF) BALB/c mice were randomly divided into a control group and a model group, with 12 mice per group. Mice in the model group were placed in a hypobaric oxygen chamber control system to establish the HPH model, whereas mice in the control group received no intervention. After 28 days of modeling, a comprehensive evaluation of the pathophysiological characteristics of both groups was performed using a general condition scoring scale, echocardiography, hemodynamic measurements, blood gas analysis, hematological tests, organ coefficient determination, histopathological examination, and enzyme-linked immunosorbent assay (ELISA). In addition, correlation analyses were conducted among echocardiographic parameters, the contents of endothelin‑1 (ET‑1) and N‑terminal pro‑B‑type natriuretic peptide (NT‑proBNP) in lung tissue, and other measured indices. ResultsWith prolonged modeling duration time, body weight, water intake, and activity level of mice in the model group were significantly decreased compared with the control group (P<0.05). Echocardiography showed that, compared with the control group, the model group exhibited increased right ventricular dimensions (P<0.01), right ventricular anterior wall thickening (P<0.01), and widened main pulmonary artery diameter (P<0.01), whereas the peak systolic velocity across the pulmonary valve, tricuspid annular plane systolic excursion, and peak systolic velocity of the tricuspid annulus were significantly decreased (P<0.001); tricuspid regurgitation was observed in some model animals. Hemodynamic results revealed that right ventricular systolic pressure was elevated in the model group compared with the control group (P<0.001). Blood gas analysis showed that pH, partial pressure of oxygen, oxygen saturation, actual bicarbonate, and total carbon dioxide were all decreased in the model group compared with the control group (P<0.01). Hematological indices demonstrated that lymphocyte counts (P<0.05) and reticulocyte counts (P<0.001) were decreased in the model group compared with the control group. Compared with the control group, the organ coefficients of heart and lung in the model group were significantly increased (P<0.05 and P<0.001). Pathological examination revealed that the right ventricular hypertrophy index was significantly increased in the model group (P<0.001), with varying degrees of damage to the right ventricle, pulmonary artery, and pulmonary vessels; both the pulmonary artery wall thickness percentage and the pulmonary wall area percentage were significantly elevated (P<0.001). ELISA results showed that the levels of ET‑1 and NT‑proBNP in lung tissues were significantly increased in the model group compared with the control group (P<0.05 and P<0.001, respectively). Correlation analysis indicated that some echocardiographic parameters were highly correlated with multiple indices in the development of HPH (P<0.05). ConclusionEchocardiography can accurately assess a series of hemodynamic changes in HPH, including right ventricular structural, functional impairment, and pulmonary hypertension. Laboratory tests not only help verify whether the model has been successfully established, but also provide deeper insights into the pathogenesis of HPH, evaluate the effects of interventions, and offer scientific evidence for clinical outcomes. Pathological examination can further confirm the alterations in pulmonary vascular remodeling and increased right heart load. This multimodal analysis provides a reliable animal model and evaluation paradigm for both basic and translational research on HPH, and is of great significance for exploring disease mechanisms and developing precision therapeutic strategies.

Background: Alzheimer’s disease (AD) is the most prevalent neurodegenerative disorder. Cellular drug screening represents a key approach in the preclinical discovery of AD therapeutics. Moreover, selecting an appropriate cellular model is essential for exploring the mechanisms underlying AD pathogenesis. Objective: This study aimed to establish a progressive strategy integrating cell model construction, monomer evaluation, and effective component group-based drug discovery for the development of novel therapeutics targeting AD. Methods: A novel AD12 cell line stably expressing the double-transgenic genes amyloid precursor protein (APP)695/presenilin 1(PS1)-ΔE9 was first constructed and subjected to lipopolysaccharide (LPS) stimulation. The resulting LPS-induced neuroinflammatory response was characterized using metabolomic analysis. Subsequently, 16 alkaloids derived from traditional Chinese medicine(TCM) were screened with the LPS-AD12 cell model. Molecular docking was then performed to assess the binding affinity of benzoylaconitine (BAC) with APP and PS1 proteins. A targeted metabolomics approach focusing on amino acids and the tricarboxylic acid (TCA) cycle was applied to BAC-treated LPS-AD12 cells. Finally, aconite extract was administered to five-familial-AD-mutations(5xFAD) transgenic mice, and therapeutic efficacy was evaluated through phenotypic and metabolomic analyses. Results: LPS stimulation induced neuroinflammation in AD12 cells, characterized by elevated levels of interleukin-6, amyloid-β (Aβ ), and PS1. The primary metabolic pathways affected in AD12 cells included alanine, aspartate, and glutamate metabolism, as well as arginine biosynthesis. Notably, BAC significantly reduced the levels of Aβ and interleukin-6 in LPS-AD12 cells. Furthermore, molecular docking analyses revealed a strong binding affinity of BAC with APP and PS1 proteins. Targeted metabolomics analysis indicated that the pharmacological activity of BAC was primarily associated with its anti-inflammatory effects, modulation of the cholinergic signaling pathway, and regulation of energy metabolism. Behavioral experiments in 5xFAD mice, together with immunofluorescence assessments of brain tissues (amyloid-β, glial fibrillary acidic protein, and ionized calcium-binding adapter molecule 1), demonstrated that aconite extract treatment significantly alleviated AD-related symptoms. In addition, metabolomics-based mechanistic analyses revealed that serine, acetylcholine, ornithine, and gamma-aminobutyric acid exhibited consistent trends in both brain tissue and serum samples from treated mice. Conclusion: This study established a novel AD12 cell model and an effective, reliable LPS-induced cell-based screening system. Additionally, we proposed a new drug discovery strategy integrating cell model construction, monomer evaluation, and effective component group-based drug discovery. This screening system has the potential to accelerate the identification of anti-AD agents and provides a feasible framework for subsequent in-depth investigations into new drug development from TCM, thereby contributing to the modernization of TCM-derived therapeutics.

Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.

Advancements in artificial intelligence(AI)and emerging technologies are rapidly expanding the exploration of chemical space,facilitating innovative drug discovery.However,the transformation of novel compounds into safe and effective drugs remains a lengthy,high-risk,and costly process.Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development.Despite this need,no comprehensive tool currently supports systematic evaluation and efficient screening.Here,we present druglikeFilter,a deep learning-based framework designed to assess drug-likeness across four critical dimensions:1)physicochemical rule evaluated by systematic determination,2)toxicity alert investigated from multiple perspectives,3)binding affinity measured by dual-path analysis,and 4)compound synthesizability assessed by retro-route prediction.By enabling automated,multidimensional filtering of compound libraries,druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates,which can be freely accessed at https://idrblab.org/drugfilter/.

Amyloidosis is a rare disease.This paper reports a case of localized secondary hypopharyngeal amyloidosis presenting with pulmonary tuberculosis as the initial symptom.The patient lacked specific clinical manifestations and primarily exhibited symptoms such as cough,sputum production,acid reflux,belching,and abdominal pain.Chest CT indicated bronchiectasis with infection and pulmonary tuberculosis.Digestive endoscopy revealed a white mucosal elevation at the right pyriform sinus of the hypopharynx.Pathological diagnosis confirmed amyloid deposits in the hypopharyngeal mucosal tissue.The patient tested positive for anti-amyloid A antibodies,Congo red staining(+),and periodate Schiff staining(+).Amyloidosis commonly affects the digestive system and may have various etiologies,often presenting with symptoms that overlap with other digestive system diseases,leading to frequent misdiagnosis and missed optimal treatment opportunities.The hypopharynx,a highly folded and narrow chamber that serves as a common passage for the digestive and respiratory tracts,can be effectively evaluated for amyloidosis using digestive endoscopy.

ObjectiveTo study the effect of Tanreqing injection （TRQ） on the pulmonary flora in the rat model of chronic obstructive pulmonary disease （COPD）. MethodWistar rats were randomized into control， model， and TRQ groups. The rats in other groups except the control group were treated by smoking combined with intratracheal instillation of lipopolysaccharide for the modeling of COPD. The TRQ group was intraperitoneally injected with TRQ （2 g·kg^-1）. At the end of the experiment， after blood collection from the abdominal aorta of the rats， the lung tissue was collected for hematoxylin-eosin and picric sirius red staining to reveal the pathological changes. The lung lavage fluid was collected， and the diversity and relative abundance of lung flora in different groups were analyzed by 16S rDNA amplicon sequencing. ResultThe lungs of the control group were normal， and those of the model group showed neutrophil infiltration， telangiectasia， lung hemorrhage and emphysema in individual cases， and thickening of collagen fibers in the trachea. Compared with the model group， the TRQ group showed significantly improved lungs and recovered collagen fibers. The MLI analysis showed that compared with the control group， the model group showcased increased alveolar space （P<0.01）， which was reduced in the TRQ group （P<0.05）. Compared with the control group， the model group showed increased wall thickness （P<0.01）， and the increase was attenuated in the TRQ group （P<0.01）. TRQ increased the Simpson index and altered the α diversity of pulmonary flora. The results of principal co-ordinate analysis showed that TRQ changed the β diversity and reduced the β diversity index of pulmonary flora. At the genus level， the model group showed increased relative abundance of g_Bacillus and g_Brevundimonas and decreased relative abundance of g_Pseudomonas， compared with the control group. After treatment with TRQ， the relative abundance of g_Stenotrophomonas increased， and that of g_Bacillus decreased. The LEfSe of differential taxa between groups showed that the modeling increased the relative abundance of g_Lachnospiraceae_NK4A136_group， and TRQ treatment increased the relative abundance of g_Rhodococcus and g_Stenotrophomonas. ConclusionTRQ can regulate the diversity of pulmonary flora and restore the balance of bacterial genera in the rat model of COPD， which may be one of the mechanisms of the prevention and treatment of COPD with TRQ.