Search Results (990)

Background/Objectives: San-Huang-Xie-Xin-Tang (SHXXT) is a classical traditional Chinese herbal formula composed of Coptis chinensis, Scutellaria baicalensis, and Rheum palmatum, with documented anti-inflammatory and anticancer properties. Despite growing interest in its pharmacological potential, systematic evaluation of its gene regulatory effects across multiple cancer types remains limited. This study aimed to assess the prognostic relevance of SHXXT-regulated genes across pan-cancer contexts using publicly available transcriptomic and clinical datasets. Methods: Fifteen active compounds of SHXXT were identified from traditional Chinese medicine databases (Encyclopaedia of Traditional Chinese Medicine (ETCM) 2.0, Chinese Compound Medicine Database (ccTCM), and Integrated Traditional Chinese Medicine Database (ITCM)). Compound-induced gene expression profiles were obtained from MCF7-based transcriptomic perturbation data in the ITCM database and integrated with The Cancer Genome Atlas (TCGA) across 24 cancer types. Survival-associated genes were evaluated using Cox proportional hazards regression and Kaplan–Meier analysis. A weighted prognostic scoring framework, supported by normalization and sensitivity analyses, was developed to prioritize cancer types according to the concordance between SHXXT-induced gene regulation and favorable prognostic patterns. Functional enrichment analysis was performed using Annotation, Visualization, and Integrated Discovery (DAVID), and cancer-related genes were annotated using the OncoKB database. Complementary in vitro studies, including Annexin V/propidium iodide (PI) and MT-1 staining assays, were conducted in Hep3B cells using a Good Manufacturing Practice (GMP)-certified commercial SHXXT preparation. Results: SHXXT-regulated genes were significantly enriched in cancer-related pathways, particularly the PI3K–Akt and MAPK signaling pathways. Pan-cancer analysis revealed substantial heterogeneity in prognostic alignment across cancer types. Among the 24 cancer cohorts analyzed, kidney renal clear cell carcinoma (KIRC) achieved the highest prognostic alignment score within the proposed framework. In KIRC, several genes, including PIK3CA, PIK3CB, KRAS, and RAF1, remained significantly associated with favorable prognostic alignment after multivariable adjustment. Pathway enrichment analysis further identified PI3K–Akt and MAPK signaling as the most significantly represented pathways among favorably aligned genes. In contrast, hepatocellular carcinoma exhibited a relatively low prognostic alignment score, consistent with in vitro observations indicating predominantly non-selective cytotoxic stress rather than cancer-specific therapeutic activity. Conclusions: SHXXT-regulated genes exhibited marked heterogeneity across cancer types, with KIRC was consistently prioritized as the top-ranked cancer type across multiple analytical scenarios, suggesting a strong concordance between SHXXT-associated gene regulation and favorable prognostic signatures. These findings represent computational predictions derived from transcriptomic and survival associations rather than direct evidence of therapeutic efficacy. The study provides a reproducible pan-cancer strategy for prioritizing candidate cancer types for future mechanistic and experimental validation of traditional Chinese medicine formulations. Full article

Deep eutectic solvent (DES) extraction is a green and efficient technology. As a substitute for organic reagents, DESs are widely used to extract active ingredients from traditional Chinese medicine. This study established an environmentally friendly and efficient method for extracting astaxanthin (AST) from Phaffia rhodozyma (PR) using ultrasound-assisted deep eutectic solvents (DESs-UAE). The astaxanthin content was determined by high-performance liquid chromatography (HPLC). Six types of deep eutectic solvents composed of DL-menthol and selected hydrogen bond donors were prepared and evaluated, among which the DL-menthol–acetic acid system showed superior extraction performance. Response surface methodology (RSM) was employed to optimize extraction parameters (ultrasonic power, time, and temperature), and the optimal conditions were determined as follows: ultrasonic power 420 W, ultrasonic time 20 min, and ultrasonic temperature 60 °C, achieving an AST extraction rate of 62% (2.49 mg/g). Compared with conventional organic solvent extraction, DESs exhibited a significantly higher AST extraction rate from PR, except for dimethyl sulfoxide (DMSO). Scanning electron microscopy (SEM) analysis demonstrated that DES-UAE treatment disrupted the cellular structure of PR, resulting in numerous surface pores; this facilitated the release of intracellular bioactive components and significantly improved AST extraction efficiency. The PR extract showed no significant cytotoxicity and could effectively promote L929 cell proliferation. It concentration-dependently increased superoxide dismutase (SOD) activity and decreased malondialdehyde (MDA) content in H₂O₂-induced oxidative stress L929 cells, thereby alleviating oxidative damage. Additionally, it concentration-dependently upregulated type I collagen expression in these cells, ameliorated the decline in collagen synthesis function, and exerted a protective effect against cellular oxidative damage. This study provides a green alternative to toxic solvents and offers important theoretical and chemical support for the extraction of natural products and the high-value utilization of Phaffia rhodozyma (PR). Deep eutectic solvents have emerged as promising green alternatives to hazardous organic solvents, yet hydrophobic DESs tailored for lipophilic astaxanthin extraction from Phaffia rhodozyma and the linkage between extraction performance and anti-aging bioactivity remain insufficiently explored. Here, an ultrasound-assisted hydrophobic deep eutectic solvent extraction strategy was constructed to acquire astaxanthin, aiming to overcome low efficiency and environmental risks of conventional organic extraction techniques. Six DL-menthol-based DESs were prepared and screened, and DL-menthol–acetic acid possessed the optimal extraction capacity. Key extraction parameters were optimized via response surface methodology, and the maximum astaxanthin extraction recovery reached 62% (2.49 mg/g) under 420 W ultrasonic power, 20 min treatment and 60 °C. This yield was markedly higher than that of most common organic solvents; though comparable extraction effect was obtained with DMSO, the adopted DES possessed outstanding low-toxic and biodegradable superiorities that DMSO cannot match. SEM characterization verified that the combined treatment destroyed yeast cell structure and formed porous morphology, which accelerated intracellular astaxanthin release and accounted for improved extraction efficiency. Biological assays proved the extract possessed good biosafety and proliferation-promoting effect on L929 cells. It effectively relieved cellular oxidative injury by elevating the SOD level and reducing MDA accumulation in oxidative damaged cells, and upregulated type I collagen expression to mitigate aging-related collagen loss. This work develops an eco-friendly and high-efficiency extraction route for lipophilic active substance, confirms the practical value of hydrophobic DES, and provides experimental basis for high-value utilization of Phaffia rhodozyma resources. Full article

The purpose of this study was to use data mining and network pharmacology to determine drug patterns for bovine viral diarrhea (BVD). The frequency, properties, tastes, meridian tropism, and functions of prescription data were gathered and examined from four literature databases (2004–2024). Cluster analysis was used to find prescription patterns, and the Apriori algorithm (SPSS Modeler 18) was used to find associations. A total of 391 literature-derived prescription records were included in the analysis, involving 189 distinct herbal medicines and a cumulative herb-use frequency of 2031 occurrences. These herbs primarily enter the liver meridian and were categorized as cold, warm, or neutral. The predominant tastes were bitter, pungent, and sweet. Five frequently recorded herbs and 14 co-occurrence patterns among herbs were extracted. According to traditional Chinese medicine (TCM), spleen–stomach deficiencies and damp-heat pathogens are linked to BVD. These medication patterns were mainly associated with heat-clearing, detoxification, spleen-strengthening, and Qi-regulating strategies in TCVM theory. Targets were screened, PPI networks were constructed, and enrichment studies for core herbs (Baitouweng, Huangbo, Huangqin, Qinpi, and Zhizi) were performed using network pharmacology. The binding affinities between disease targets and active components were further assessed using molecular docking. The findings provide a descriptive summary of medication patterns and generate preliminary hypotheses regarding potential compound–target–pathway associations involved in the symptomatic and supportive use of TCM for BVD. Full article

Radiation-induced intestinal injury (RIII) is a common complication of tumor radiotherapy, significantly impacting patients’ quality of life and posing challenges for developing effective medical countermeasures. This study investigated the reparative effects of the traditional Chinese medicine Pyrrosia petiolosa (Christ) Ching on radiation damage through in vivo and in vitro models. By integrating gut microbiota and untargeted metabolomics analyses, it elucidated the multidimensional mechanisms through which P. petiolosa regulates the microbiome as well as metabolic homeostasis. In vitro experiments demonstrated that P. petiolosa effectively suppressed radiation-induced inflammatory factors (IL-6, TNF-α, and IL-1β) and alleviated radiation-induced oxidative stress (MDA, GSH, and SOD). In vivo models further confirmed that P. petiolosa significantly alleviated radiation-induced intestinal inflammation and leukopenia, while protecting the structural and functional integrity of mouse small intestinal crypt villi. Mechanistic studies revealed P. petiolosa reshaped the gut microbiota by promoting enrichment of beneficial bacteria such as Bacteroides, concurrently restoring the homeostasis of key metabolic pathways, including glutathione, glycerophospholipids, and the tricarboxylic acid cycle. Analysis of the microbiome–metabolome interaction network revealed that treatment with P. petiolosa altered the correlation patterns between gut microbiota and fecal metabolites, including potentially beneficial bacteria and metabolites associated with inflammatory and oxidative stress responses. These findings suggest that microbiome–metabolome remodeling may contribute to the protective effects of P. petiolosa against radiation-induced intestinal damage. Overall, this study provides preliminary evidence that P. petiolosa may alleviate acute radiation-induced intestinal damage through anti-inflammatory and antioxidant effects accompanied by changes in gut microbiota and metabolic homeostasis, while identifying candidate targets for future functional validation. Full article

The governance of traditional medical knowledge faces persistent challenges from biopiracy and the inadequacy of conventional intellectual property regimes. This article examines the transformative potential and limitations of blockchain technology in governing traditional Chinese medicine (TCM) knowledge, adopting a framework that integrates legal validity, procedural justice, and governance implications. Drawing on normative legal analysis of Chinese statutes, empirical case studies of recent blockchain initiatives in China, and comparative analysis of the Nagoya Protocol and WIPO frameworks, the article advances three arguments. First, blockchain-enabled registration can generate legally cognizable evidence of prior existence, though its validity as a property right requires statutory recognition. Second, blockchain can enhance procedural justice by mitigating evidentiary asymmetry, expanding participation, and increasing benefit-sharing transparency. Third, the governance implications demand hybrid institutional designs that combine technological infrastructure with legal frameworks. The article identifies critical limitations—the oracle problem, accessibility barriers, and jurisdictional fragmentation—and proposes targeted optimizations, including statutory presumptions for blockchain records and enhanced international coordination. China’s experience offers actionable insights for equitable, legally embedded, and technologically sophisticated traditional medical knowledge governance globally. Full article

Introduction: Evidence supports using multicomponent lifestyle medicine programs to alleviate depression, yet few studies detail the program development process. This study aimed to systematically develop a complex lifestyle medicine program for depression based on Traditional Chinese Medicine theory. Methods: A stepwise, multi-method study was conducted. The preparation phase involved understanding the public health issue, identifying resources, and reviewing published evidence. Based on these results, a Delphi survey was performed, followed by an analysis of the context understanding as well as design and refinement of the program. Subsequently, the program was modeled, and a program theory was developed, incorporating explanations and assumptions in a relevant conceptual framework and logic model. Results: A complex lifestyle medicine program and program manual were established. The program involves three major themes, each with six 120 min weekly consecutive sessions: nourishing the heart (two sessions), nourishing according to the time (two sessions), and nourishing the Qi (two sessions). The program covered TCM theory and practice to promote healthy sleep, diet, stress management, and self-administered acupressure and TCM exercise. Teaching materials were created accordingly. Conclusions: This study reports the development of a complex multicomponent TCM lifestyle medicine program to relieve depression thoroughly and transparently, with a specific focus on the Hong Kong context and a particular focus on TCM theory. The developed program will be examined for feasibility, acceptability, and preliminary efficacy in alleviating depression in a mixed-methods clinical study. Full article

The NAM, ATAF, and CUC (NAC) transcription factors represent a major class of plant-specific transcription factors that regulate plant growth, development, and responses to various biotic and abiotic stresses. Despite their importance, limited information exists about this gene family in wolfberry (Lycium barbarum), a valuable traditional Chinese medicinal plant widely cultivated in northwest China. In this study, 107 LbaNAC genes were identified from the wolfberry genome and found to be unevenly distributed across 12 chromosomes. These LbaNAC genes were clustered into 18 subfamilies, with motif composition and gene structure showing high consistency with their phylogenetic relationships. A total of 192 orthologous gene pairs were identified between wolfberry and tomato, potato, Arabidopsis thaliana, and rice, respectively. Gene duplication analysis revealed that dispersed duplication was a major driver in the expansion of the LbaNAC gene family, while the analysis of the nonsynonymous (Ka) to synonymous (Ks) substitution rates confirmed that purifying selection has been the predominant evolutionary force acting on these genes. Cis-acting element analysis showed that their promoters harbor elements associated with growth, metabolism, and various stress responses. Furthermore, correlation analysis demonstrated that the expression profiles of LbaNAC001, 027, 043, 051, 053, and 080 were significantly and positively correlated with the dynamic changes in glucose, fructose, and sucrose contents in wolfberry fruits. Furthermore, quantitative real-time PCR validation of the selected LbaNAC genes confirmed that their expression patterns were consistent with the transcriptome data. Subcellular localization and transcriptional activation analyses revealed that LbaNAC027 is a nucleus-localized transcriptional activator. This study identifies potential LbaNACs involved in wolfberry fruit sugar metabolism, providing a theoretical foundation for elucidating their regulatory mechanisms. Full article

Allergic rhinitis (AR) is one of the most prevalent allergic disorders worldwide. Current pharmacological treatments are often limited by suboptimal efficacy and notable adverse effects. Herbal medicines, with their multi-component and multi-target therapeutic characteristics, have attracted increasing attention. Artemisia ordosica Krasch. (AOK), a traditional Chinese/Mongolian medicine has demonstrated immunomodulatory, antioxidant, and anti-inflammatory activities. The anti-AR potential of AOK extract fractions was evaluated using in vitro mast cell degranulation inhibition assays, network pharmacology analysis, molecular docking, and molecular dynamics simulations to elucidate underlying pharmacological mechanisms. The P815 mast cell model induced by compound 48/80 was employed to assess the inhibitory activity and cytotoxicity of different extract fractions. Among the tested fractions, the ethyl acetate fraction exhibited the most potent inhibitory effect on mast cell degranulation without significant cytotoxicity. Network pharmacology analysis identified 254 potential AR-related targets of AOK, with Signal Transducer and Activator of Transcription 3(STAT3), Src protein(SRC), Tumor protein 53(TP53), AKT Serine/Threonine Kinase 1(AKT1), Heat Shock Protein 90 Alpha Family Class A Member 1(HSP90AA1), Estrogen Receptor 1(ESR1), and Phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha(PIK3CA) identified as key hub proteins. Gene Ontology and KEGG pathway enrichment analyses indicated that AOK primarily modulated inflammatory and oxidative stress-related processes through the lipid and atherosclerosis, hypoxia-inducible factor-1, and AGE-RAGE signaling pathways. Molecular docking and dynamics simulations demonstrated strong binding affinities and stable interactions between major active constituents, particularly hydroxygenkwanin, and key targets such as SRC. The ethyl acetate fraction of AOK extract exhibited significant mast cell degranulation inhibitory activity, likely mediated via a synergistic multi-component, multi-target mechanism involving regulation of inflammatory and immune-related signaling pathways. These findings provide a pharmacological basis for the potential application of AOK in AR treatment. Full article

Traditional Chinese Medicine (TCM) diagnosis is characterized by substantial subjectivity and inter-practitioner variability. Although deep learning (DL) offers potential for standardization and intelligent diagnostic support, its methodological rigor and clinical applicability remain unclear. This systematic review evaluated the applications, methodological quality, and translational readiness of DL in TCM disease diagnosis. Eight databases were searched from January 2010 to May 2026, and 21 studies were included. Quality assessment was conducted using TRIPOD-AI and QUADAS-2. The review identified a technological evolution from conventional classification models toward knowledge graph-enhanced frameworks, large language models, and multimodal integration. However, major methodological limitations were observed. The mean TRIPOD-AI reporting rate was only 50.5%, with deficiencies in transparency and validation reporting. QUADAS-2 assessment showed high risk of bias in the Index Test and Reference Standard domains in 47.6% of studies, and none performed independent external validation. In conclusion, despite rapid technological advances, DL-based TCM diagnostic research remains limited by insufficient validation, poor reporting transparency, and reference standard bias. Future research should prioritize multi-center external validation, prospective real-world testing, standardized reference standards, and theory-driven explainable AI approaches. Full article

Background: Ensuring authenticity and verifying the floral origin of honey are persistent and critical issues in the quality control of bee products; in particular, the characteristic components and practical authenticity evaluation standards of several specialty fruit monofloral honeys are still insufficiently defined. Methods: To address this, we conducted a comparative analysis of five fruit monofloral honey (loquat, pomegranate, citrus, apple, and blueberry) phytochemicals using high-performance liquid chromatography (HPLC), liquid chromatography–mass spectrometry (LC-MS), and the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine (TCM). Results: Based on the currently available literature and databases, eleven identified phytochemicals appear to be reported in honey for the first time, including quinic acid derivatives, phenolamides, and flavonoid glycosides. Characteristic components with high species dependence were identified in distinct honey samples: anisic acid in loquat honey; methyl syringate in pomegranate honey; caffeine in citrus honey; cinnamic acid and methyl syringate in apple honey; and phaseic acid, methyl syringate, isorhamnetin-3-O-neohesperidoside, and callunene in blueberry honey. Twenty-three commercial samples were collected from the retail market to assess authenticity using HPLC fingerprints and quantitative thresholds for characteristic components. Authenticity was assessed based on both chromatographic fingerprint similarity and the content thresholds of characteristic phytochemicals specific to each monofloral honey type. The results indicated that 19 commercial samples satisfied the proposed authenticity criteria, whereas four commercial samples showed inconsistencies in characteristic phytochemical profiles or fingerprint similarity. Conclusions: This research establishes reliable chemical markers and a quantitative method to assess the authentication of five monofloral honeys, supporting high-value product development. Full article

Background/Objectives: AIDS is a serious threat to human health and remains incurable; however, EK-16A, an ingenol derivative, shows promise as a functional cure. In this study, we aimed to extract EK-16A from Euphorbia kansui, used in traditional Chinese medicine, to develop an oral self-nanoemulsifying drug delivery system (SNEDDS) for EK-16A and evaluate it in vivo. Methods: EK-16A was purified by SFC combined with conventional extraction. The optimal SNEDDS formulation was selected by emulsification and stability testing. Pharmacokinetics, metabolomics, and proteomics were used for in vivo evaluation. Results: 1. The extraction yield of EK-16A was four times higher than that of the conventional process; the extraction scale was increased by 25 times, and the purity of EK-16A reached 98.0%. 2. EK-16A is a BCS Class IV compound with low solubility and permeability. The compound’s content degraded to 49.8% after 3 months at 25 °C/60% RH. The EK-16A SNEDDS formulation A#1 showed no degradation after 3 months at 40 °C/75% RH. The absolute bioavailability after oral administration of formulation A#1 in rats was 0.445%. 3. The proteomics results showed that EK-16A significantly downregulated the PI3K-AKT signaling pathway in SHIV-infected rhesus macaques. Specifically, all 11 identified differential proteins were significantly downregulated. Conclusions: 1. The extraction process for EK-16A features high yield, purity and large scale. 2. The SNEDDS formulation enhances the stability of EK-16A and successfully delivers this low-solubility and permeability compound into the systemic circulation. 3. Proteomics analysis revealed that EK-16A significantly downregulates the PI3K-AKT signaling pathway in SHIV-infected rhesus macaques. However, further experiments, such as measuring plasma viremia and cell-associated SHIV RNA, are needed to confirm this mechanism. Full article

Background/Objectives: Machine learning has emerged as a transformative force in drug discovery, revolutionizing traditional research paradigms and profoundly improving the efficiency, cost-effectiveness, and speed of the drug development cycle for novel drugs. Colorectal cancer is one of the most prevalent malignant tumors and imposes a heavy burden on global public health due to its high morbidity, mortality, and poor prognosis. Cyclooxygenase-2 (COX-2) is a key therapeutic target of colorectal cancer and has been extensively applied in the development of novel anti-colorectal cancer drugs. Methods: In this study, we systematically compared the performance of Random Forest Classifier (RFC), deep learning (DL), and graph neural network (GNN) models, including GAT (Graph Attention Network), GCN (Graph Convolutional Network), and MPNN (Message Passing Neural Network), with diverse features in the classification task of COX-2 inhibitors, based on a custom COX-2 inhibitors dataset and a Traditional Chinese Medicine (TCM)-derived compound library. The optimal model was subsequently used to screen for potential COX-2 inhibitors. Additionally, the key substructures governing COX-2 inhibitory activity were also identified and analyzed. Finally, the prioritized candidate compounds underwent experimental validation. Results: Both RFC and DL models outperformed GNN models. Through further comparative analysis of models’ predictive performance, the RFC model was ultimately verified as the optimal model for activity screening of TCM-derived compounds. The molecular interactions and binding affinities between predicted candidate compounds and COX-2 were further investigated. Finally, the selected lead compound, dehydrocostus lactone, was experimentally confirmed to possess potent COX-2 inhibitory activity. Conclusions: This study highlights that the RFC model is highly effective in screening bioactive components from TCM under small-dataset conditions, providing a solid foundation for subsequent related research in this field. Full article

Ginseng (Panax ginseng C. A. Mey.) is a classic traditional Chinese herbal medicine with a history of clinical use that spans millennia. Its utilisation has long been established in the regulation of physical and mental equilibrium, in addition to the amelioration of conditions pertaining to the heart, spleen, and brain. Recent studies have indicated that the core biological activity of the substance under investigation is mediated by key active components such as ginsenosides, polysaccharides, and polyphenols. These components are closely associated with the regulation of the gut-brain axis (GBA). However, extant reviews have predominantly concentrated on individual diseases or specific mechanisms, thereby lacking a thorough investigation into the comprehensive analysis of how ginseng components exert systemic effects via the GBA. This review systematically searched and analyzed published studies in major databases regarding the regulation of the GBA by ginseng bioactive components, summarizing the latest advances in its role as a multifactorial disease intervention regulator targeting the GBA. It has been demonstrated that ginseng components exert a multifaceted GBA regulatory effect through interconnected mechanisms, including modulation of the gut microbiota, protection of the intestinal barrier, anti-inflammatory actions, and regulation of neurotransmitters, showing promising preclinical therapeutic potential in neurodegenerative diseases, mood disorders, metabolic diseases, and gastrointestinal disorders. Contrary to previous reviews, which focused on the description of individual ginseng components or specific diseases, this study provides a comprehensive analysis of how various bioactive components of ginseng modulate the gut-brain axis in relation to multiple disease categories through a systematic review. However, the preponderance of extant evidence derives from preclinical studies and necessitates further validation through clinical trials. This review provides pivotal directions and theoretical underpinnings for the clinical translation of ginseng’s bioactive components and the development of disease intervention strategies targeting the gut-brain axis. Full article

Background/Objectives: Sleep deprivation (SD) induces the accumulation of reactive oxygen species (ROS) in the intestine, causing inflammation in the intestine, thereby damaging the intestinal epithelial barrier function. As a traditional Chinese medicine, Dendrobium huoshanense (DHS) modulates intestinal flora, maintains the intestinal mucosal barrier, and promotes gastrointestinal motility and digestive secretion. However, the role and mechanism of DHS in improving SD-induced intestinal injury have not been fully studied. Methods: The SD model was established by subjecting rats to complete SD using a specialised SD instrument. Hematoxylin and eosin (HE) staining was performed to evaluate pathological injury in ileal tissues. Enzyme-linked immunosorbent assay (ELISA) and biochemical methods were used to quantify the main inflammatory cytokines, oxidative stress markers, and hypothalamic–pituitary–adrenal (HPA) axis activity. The expression levels of E-cadherin and Occludin proteins in the ileum tissue were analyzed by Western blotting. Additionally, the pH value of ileal mucus, unit secretion, water content, and dry matter weight were measured. Differential metabolites in rat ileum mucus were profiled using ultra-high-performance liquid chromatography–quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS). Results: DHS alleviated the pathological injury of the ileum induced by SD. DHS reduced the levels of serotonin (5-HT), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α), while increasing interleukin-10 (IL-10) levels, thereby attenuating systemic inflammatory responses. Furthermore, DHS decreased malondialdehyde (MDA) content and elevated glutathione (GSH) and superoxide dismutase (SOD) levels in ileal tissues. DHS also upregulated the protein expression of E-cadherin and Occludin in intestinal tissues. In addition, DHS decreased the pH of ileal mucus, promoted intestinal mucus secretion, and increased dry matter content, facilitating the restoration of the mucus barrier. DHS may alleviate SD-induced ileal injury by modulating steroid hormone biosynthesis. DHS decreased the levels of adrenocorticotropic hormone (ACTH), cortisol (CORT), and corticotropin-releasing hormone (CRH), indicating that DHS suppresses the abnormal activation of the hypothalamic–pituitary–adrenal (HPA) axis. Conclusions: In this study, a comprehensive multi-index evaluation showed that DHS could significantly improve the ileal injury caused by SD in rats. The mechanism involved regulating the balance of serum neurotransmitters and inflammatory factors, reducing oxidative stress in tissues, and improving the physicochemical properties of intestinal mucus. Metabolomic analysis further revealed that these protective effects may be mediated via the regulation of steroid hormone biosynthesis pathways and are associated with the inhibition of abnormal HPA axis activation. Full article

Atractylodis lancea (Cangzhu) and Atractylodes macrocephala (Baizhu) are two traditional Chinese medicines with complex chemical compositions. However, a comprehensive comparative analysis of their constituents remains lacking. In this work, an ultra-high-performance liquid chromatography coupled with quadrupole-Orbitrap tandem mass spectrometry (UPLC-Q-Orbitrap-MS/MS) method was developed for the rapid characterization and differentiation of chemical components in Cangzhu and Baizhu. Chromatographic separation was achieved on a C18 column with gradient elution, and compounds were detected using electrospray ionization in both positive and negative modes. By analyzing characteristic fragmentation patterns and neutral losses, a total of 111 compounds were tentatively identified, including 14 common components (present in both species) and 97 differential components (unique to one species). This study presents the first comprehensive comparative chemical profiling of the two Atractylodes species, offering valuable references for pharmacodynamic material basis studies and quality control. Full article