Search Results (2,900)

Astragalus membranaceus and Atractylodes macrocephala are traditional Chinese medicinal herbs known for their potential anti-inflammatory and immunomodulatory properties; however, their effects on the growth performance, muscle composition, and intestinal microbiota of aquatic animals remain poorly understood. A total of 480 healthy juvenile red swamp crayfish (Procambarus clarkii) with uniform size (initial mean body mass 5.24 ± 0.04 g) were randomly assigned to four isonitrogenous diets containing 0, 250, 500, and 750 parts per million (ppm) of an Astragalus–Atractylodes extract (three replicates per treatment, 40 individuals per replicate) and fed for six weeks. After a 24 h fasting period, crayfish were randomly sampled for subsequent analyses. Results were as follows: (1) There were no significant differences in the final weight, specific growth rate, meat content, hepatosomatic index, intestinal length index, or condition factor among all groups of crayfish (p > 0.05). (2) The crude lipid content in crayfish muscle was significantly lower in all treatment groups compared to the control group (p < 0.05), whereas no significant differences were observed among groups in terms of muscle moisture, crude protein, and ash contents (p > 0.05). (3) Compared with the control group, the activities of glutathione peroxidase (GPX) and catalase (CAT) in the 750 ppm group were significantly increased, while the content of malondialdehyde (MDA) was significantly decreased (p < 0.05). (4) The intestinal microbiota of Procambarus clarkii was dominated by Firmicutes, Proteobacteria, and Actinobacteriota. Dietary Astragalus membranaceus–Atractylodes macrocephala extracts altered community composition, decreasing the relative abundance of opportunistic genera such as Pseudomonas and Mycobacterium and, to some extent, improving co-occurrence network stability. (5) Correlation analyses linked host phenotypes to key differentially abundant genera: final weight was associated with Bosea and Nannocystis, hepatosomatic index and meat content with Nannocystis and Pseudomonas, respectively, and lipase activity with Pseudomonas, Nannocystis, and Bosea (p < 0.05). GPX was associated with Pseudomonas and Mycobacterium (p < 0.05), whereas MDA showed only weak associations with these genera but was negatively correlated with growth performance indices (p < 0.05). Overall, dietary Astragalus–Atractylodes extracts enhanced antioxidant capacity, tended to increase intestinal lipase activity, and significantly altered gut microbial community composition of P. clarkii, including reduced relative abundance of selected putatively harmful taxa and altered inferred microbial association patterns; under the present conditions, 750 ppm produced the most favorable overall response among the tested supplementation levels. Full article

Hepatocellular carcinoma (HCC) remains difficult to control because recurrence, impaired hepatic reserve, and treatment resistance limit durable benefit. Natural products and traditional Chinese medicine (TCM) provide resources that range from drug-lead discovery to adjunctive multicomponent therapy. This review integrates pharmacological and clinical evidence for purified compounds, semisynthetic derivatives, extracts, formulas, and delivery systems. It focuses on metabolic reprogramming and redox homeostasis, stress responses and regulated cell death, tumor cell plasticity and vascular remodeling, and the immune microenvironment and host response. Recent studies have strengthened selected mechanistic claims through chemical probes, functional perturbation, and resistance models. Clinical research has concentrated on recurrence control after surgery or minimally invasive treatment and on combinations with transarterial chemoembolization, targeted agents, and immunotherapy. Randomized trials and prospective cohorts suggest potential benefit in specific settings, although product standardization, external validation, and long-term follow-up remain limited. Major translational barriers include uncertain active constituents, inadequate batch comparability, missing tumor-exposure data, and sparse herb–drug interaction studies. Future development should match target validation, pharmacokinetics, safety assessment, and clinical endpoints to each product class and clarify whether a candidate is best positioned as a drug lead, adjunctive therapy, or supportive intervention. Full article

Inflammatory diseases are caused by overactivation of the immune system and lead to tissue damage; their high incidence and complications seriously threaten human health. Currently, non-steroidal anti-inflammatory drugs (NSAIDs) and immunosuppressants are the mainstay of clinical practice, but their long-term use can cause gastrointestinal damage, drug resistance, and other problems. In recent years, traditional Chinese medicine has become a research hotspot for the treatment of inflammatory diseases, among which Icariin (ICA), the main active ingredient of Epimedium, has demonstrated significant anti-inflammatory potential. In this review, a comprehensive literature search of PubMed and Web of Science was conducted, and original studies on the anti-inflammatory effects and mechanisms of ICA were included. The roles and mechanisms of ICA in inflammatory diseases in different systems are summarized. Specifically, ICA suppresses NF-κB and MAPK signaling, inhibits NLRP3 inflammasome activation, and activates the Nrf2/HO-1 antioxidant axis, thereby reducing the production of pro-inflammatory cytokines such as TNF-α, IL-6, and IL-1β. Overall, the current evidence indicates broad anti-inflammatory effects of ICA across multiple organ systems, particularly in atherosclerosis and myocardial infarction; however, clinical translation is limited by poor bioavailability and the lack of standardized dosage data. Future efforts should focus on pharmacokinetic optimization and well-designed clinical trials to facilitate its application in inflammatory diseases. Full article

Cold hypersensitivity in hands and feet (CHHF) affects 20–52% of East Asian populations, is more prevalent in women, and is managed with vasodilators in Western medicine or herbal therapies in traditional East Asian medicine. This study was conducted to compare the pharmacological characteristics of two heat-clearing (HCHs, Scutellariae Radix and Coptidis Rhizoma) and two blood-tonifying (BTHs, Angelicae Sinensis Radix and Paeoniae Radix Alba) herbs used for CHHF. Candidate herbs were selected based on herbology classifications, PubMed searches, and the Korean Medicine Clinical Practice Guideline for CHHF. A total of 61 active compounds and 323 corresponding protein targets with CHHF were retrieved from the traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP), standardized via UniProt, and intersected with CHHF-related genes from GeneCards. Protein–protein interaction networks were constructed, core targets identified, and functional enrichment analyses performed using Reactome databases. A total of 166 herb–CHHF common targets were identified, including 24 shared across all four herbs. HCHs were primarily enriched in hemostasis-, immune-, and signaling-related pathways, whereas BTHs were associated with immune regulation, metabolism, and neuronal modulation. Notably, Scutellariae Radix and Paeoniae Radix Alba showed substantial overlap in enriched pathways. These findings suggest that HCHs and BTHs may be associated with distinct yet potentially relevant molecular mechanisms in CHHF. However, because the present analysis was conducted at the single-herb level, these findings cannot be directly generalized to the clinical use of multi-herb formulas and should be interpreted as hypothesis-generating. Full article

Lung cancer remains the leading cause of cancer-related mortality worldwide, highlighting the urgent need for novel therapeutic strategies. This study aimed to identify bioactive small RNAs derived from Maytenus hookeri Loes. and evaluate their anti-tumor potential against non-small cell lung cancer (NSCLC). The 50 most abundant small RNAs were synthesized and screened in NCI-H460 cells using the MTS assay. Among them, MDM-sRNA-39 significantly inhibited cell viability and was selected for further evaluation of its anti-tumor activity. It reduced the percentage of cells that traversed the Transwell membrane and promoted apoptosis in NCI-H460 cells. Bioinformatics prediction suggested KRAS as a potential target of MDM-sRNA-39, and KRAS was among the targets experimentally validated by dual-luciferase reporter assays, RT-qPCR, and Western blot, showing that MDM-sRNA-39 suppresses KRAS expression at both mRNA and protein levels. In vivo, MDM-sRNA-39 was orally administered as a bencaosome in a Kras^LSL-G12D/p53^LoxP/LoxP autochthonous lung cancer mouse model. Tumor burden was reduced and cleaved caspase-3 staining was increased in the mouse model. Collectively, these findings identify MDM-sRNA-39, a synthetic small RNA based on a sequence identified from Maytenus hookeri Loes., as a candidate with anti-tumor activity, supporting the potential strategy for developing RNA-based therapeutics from traditional Chinese medicine. Full article

Adaptive Reinforced Gray Langur Optimization (ARGLO), an enhanced variant of the Gray Langurs Optimizer, is developed for high-dimensional, multimodal, and nonlinear search landscapes susceptible to local trapping. Although the original GLO performs multi-population cooperative search by simulating the social structures of gray langurs, it still suffers from uneven random initialization, insufficient adaptive population partitioning, weak local perturbation, and premature convergence. ARGLO incorporates three strategies: good point set-based oppositional and quasi-oppositional learning initialization, hierarchical equilibrium adaptive population partitioning, and elite-guided hybrid mutation. Collectively, these mechanisms generate a higher-quality starting population, coordinate global search with local refinement, and reduce the risk of entrapment in suboptimal regions. Evidence from component-wise experiments together with the CEC test suite indicates that ARGLO delivers higher solution precision, steadier convergence, as well as more consistent performance, especially as dimensionality increases. Moreover, ARGLO is applied to near-infrared spectral feature selection and SVR parameter optimization for polysaccharide content prediction in Dendrobium huoshanense. Compared with unoptimized SVR, ARGLO-SVR reduces RMSE by 35.35% and improves R² by 21.92%; compared with GLO-SVR, it reduces RMSE by 6.05% and improves R² by 2.30%. These results demonstrate the effectiveness and application potential of ARGLO in complex optimization and rapid nondestructive quality detection of traditional Chinese medicinal materials. Full article

Vitiligo is a chronic acquired depigmenting disorder characterized by progressive melanocyte loss. Its pathogenesis involves a multifactorial interplay among oxidative stress, impaired melanocyte regeneration, immune-mediated cytotoxicity, and neuroendocrine dysregulation. In recent years, traditional Chinese medicine (TCM)-derived active ingredients have attracted increasing research interest as potential interventions for vitiligo, although most isolated compounds remain at the preclinical stage. This review summarizes pharmacological and natural compounds applied in vitiligo treatment and highlights their regulatory mechanisms on core pathogenic modules. A comprehensive analysis of natural and semisynthetic active ingredients is provided, covering their preclinical and clinical evidence, mechanisms of action, and therapeutic relevance. Multiple ingredients, including baicalein, quercetin, curcumin, paeoniflorin, kaempferol, glycyrrhizin, and epigallocatechin-3-gallate (EGCG), have demonstrated antioxidant, anti-inflammatory, immunomodulatory, and neuroprotective effects that are involved in the pathogenesis of vitiligo. Some TCM-derived interventions, such as Ginkgo biloba L. extract and compound glycyrrhizin, have been evaluated clinically, whereas most isolated active compounds, including baicalein and quercetin, remain at the preclinical stage. Overall, TCM-derived active ingredients represent a promising therapeutic strategy for vitiligo. However, continued translational and clinical research is still required to optimize formulations, dosing regimens, and safety profiles, thereby facilitating their integration into routine clinical practice. Full article

During the X-ray Diffraction (XRD) identification of the traditional Chinese medicine Os Draconis, the identification model often suffers from limited classification accuracy due to the difficulty in determining optimal parameters. To address this issue, this paper proposes a Hydrodynamic Improved Particle Swarm Optimization (HIIPSO) algorithm for the deep optimization of model parameters. In practical identification scenarios, the high complexity of XRD data poses severe challenges to the convergence speed and global search capability of optimization algorithms. To enhance model performance, this study introduces the interaction mechanism from fluid dynamics into the particle swarm optimization process. Specifically, HIIPSO incorporates a Voronoi neighbor topology to enhance population diversity and spatial distribution rationality. Concurrently, a hydrodynamic interaction mechanism is constructed to simulate the cooperative behavior of particles in a fluid environment, thereby effectively preventing the algorithm from falling into local optima. A theoretical analysis of the computational complexity of the HIIPSO algorithm in the parameter search task for XRD identification models was conducted, confirming that it falls within an ideal range for engineering applications. Statistical analysis of the experimental results demonstrates that, in the parameter optimization task for the Os Draconis identification model, the HIIPSO algorithm significantly outperforms traditional and other baseline algorithms across key metrics, including the optimal value, mean, standard deviation, and median of the objective function. The experimental data indicates that the HIIPSO algorithm can substantially improve the robustness and identification accuracy of the XRD-based Os Draconis identification model, making it an optimal solution for parameter optimization problems in the digital identification of complex mineral-based traditional Chinese medicines. Full article

Agricultural by-products and Chinese medicine crop residues, as non-traditional animal feed, have great potential to alleviate the scarcity of traditional feed and reduce the environmental burden. In this study, the effects of adding fermented ginseng by-products to the diet on growth performance, meat quality, flavor characteristics and metabolism of Hongyu roosters were evaluated. A total of 100 Hongyu roosters were randomly assigned to either a control (Con) group fed a basal diet or a fermented ginseng by-products (Fe) group fed a basal diet supplemented with 3% fermented ginseng by-products, with five replicates per group, for 100 days. The results demonstrated that the fermented diet significantly enhanced final body weight and average daily gain (ADG) while reducing the feed conversion ratio (FCR) (p < 0.05). The percentages of breast and thigh muscles and breast muscle fiber diameter were significantly increased. The results also exhibited enhanced water-holding capacity, coupled with significantly decreased shear force and drip loss (p < 0.05). Electronic nose and tongue analyses confirmed enriched meat aroma and optimized taste profiles, which aligned with elevated levels of flavor-precursor amino acids and essential polyunsaturated fatty acids. Serum metabolomics found purine metabolism and the biosynthesis of unsaturated fatty acids to be pivotal pathways. Metabolites related to nucleotide and lipid metabolism were regulated. In conclusion, fermented ginseng by-products serve as an effective functional feed to improve poultry growth performance and meat quality. Full article

Objective and non-invasive markers for psychiatric assessment remain limited. This study evaluated whether standardized tongue and facial color features provide measurable information relevant to depression and schizophrenia classification. Tongue and facial images were collected from 749 participants, including healthy controls (n = 84), patients with depression (n = 246), and patients with schizophrenia (n = 419). Color characteristics were quantified in predefined tongue and facial regions using the LAB color space. Group differences were examined statistically, and machine-learning models were evaluated across five repeated stratified splits. Most LAB-derived features differed significantly across groups, with luminance-related measures showing the largest effect sizes and more consistent shifts in schizophrenia than in depression. In multiclass classification, LAB plus demographic variables achieved strong performance (accuracy = 0.782 ± 0.035, macro-F1 = 0.697 ± 0.038, AUC = 0.912 ± 0.027), similar to LAB plus demographic and traditional variables (AUC = 0.912 ± 0.032). LAB-only models showed comparable AUC to demographic-only models but lower macro-F1. In pairwise analyses, discrimination was strongest for healthy control versus schizophrenia (AUC = 0.952 ± 0.030) and depression versus schizophrenia (AUC = 0.926 ± 0.019), and lower for healthy control versus depression (AUC = 0.817 ± 0.054). These findings suggest that LAB-derived tongue and facial color features may provide complementary group-level information, particularly when combined with demographic variables, but should not be interpreted as standalone diagnostic biomarkers. Full article

This study examines the mediumistic paintings of Guo Fengyi (郭鳳怡 1942–2010) through the lens of Daoist inner contemplation (neiguan 內觀) and traditional Chinese medicine. Guo developed distinctive self-cultivation techniques, including Ziran Chaoneng Gong (自然超能功 Natural Superpower Qigong), Qi’e Gong (企鵝功 Penguin Qigong 氣功), and Liu Ling Shuzi Gong (劉陵數字功 Liu Ling Numerology Qigong), which resonate with ancient Chinese practices of Zhouyi (周易) divination, shamanic ritual, and Daoist visualization. Through sustained spiritual practice, she experienced what she understood as mystical revelations transmitted by the High Masters. Vivid visionary images repeatedly emerged in her consciousness, accompanied by an overwhelming sense of being guided by an unseen spiritual agency to depict an unknown transcendent realm. Following these experiences, she created nearly one thousand mediumistic paintings. Her work delves into inner landscapes of consciousness and energetic experience, expanding visual art research into the domain of “inner vision”. This study argues that Guo’s art challenges ocular-centric creative paradigms: her mode of “seeing” operates through the supersensory “eye of spirit” rather than physical sight, and artistic creation becomes a process of receiving higher-dimensional messages rather than singular self-expression. Her practice offers a critical reference for recovering the spiritual dimension in contemporary art and provides theoretical perspectives for comparative studies of international mediumistic artists such as Hilma af Klint (1862–1944) and Georgiana Houghton (1814–1884). Full article

Kansui Radix, the root of Euphorbia kansui, was first described in Shen Nong Ben Cao Jing as a traditional Chinese medicine, known for its effects of expelling water, reducing edema, and dissipating masses. It is traditionally indicated for conditions such as “watery accumulation” and “abdominal masses (zheng-jia)”, which share certain similarities with the clinical manifestations of renal cell carcinoma (RCC), including renal masses, edema, and body cavity effusion. Despite the recognized antitumor effects of Kansui Radix, the pharmacological basis and specific molecular mechanisms underlying its inhibition of RCC progression remain unclear. The goal of this study was therefore to evaluate the antitumor efficacy of Kansui-DCM in RCC and to explore its potential mechanism. To this end, the chemical composition of the dichloromethane fraction of Kansui Radix (Kansui-DCM) was characterized by UPLC-MS. The antiproliferative effects of Kansui-DCM on 786-O and RENCA cells were evaluated using the CCK-8 assay. Apoptotic morphology, apoptosis rate, cell migration and invasion abilities were assessed. An RCC mouse model was established, and tumor growth and histopathological staining were evaluated after drug administration. Immunohistochemistry, transcriptomic analysis, WGCNA (weighted gene co-expression network analysis), network pharmacology, and immunofluorescence were employed to investigate the molecular pathway. Protein and gene expression were analyzed by Western blot and qRT-PCR, respectively. Finally, the interactions between the active components and key targets were substantiated through molecular docking and molecular dynamics simulations. A total of 1397 compounds were detected in Kansui-DCM by UPLC-MS. In vitro experiments demonstrated that Kansui-DCM inhibited the proliferation of 786-O and RENCA cells in a dose-dependent manner, induced apoptosis, and suppressed cell invasion and migration in RENCA cells. Treatment with Kansui-DCM markedly suppressed tumor growth in vivo, as reflected by a reduction in tumor volume. Immunohistochemical analysis indicated that the expression levels of CD31, COX-2, and Ki67 were markedly decreased, while the expression level of CD8 was significantly increased. Integrated analysis using WGCNA and network pharmacology predicted that Kansui-DCM may exert its effects through the regulation of the HIF/VEGF signaling pathway, which was further validated by immunofluorescence, Western blot, and qRT-PCR assays. Molecular docking and molecular dynamics simulations demonstrated stable interactions between multiple active components of Kansui-DCM and key targets such as VEGFR2 and HIF-2α. In conclusion, these findings suggested that Kansui-DCM exerts anti-RCC effects associated with regulation of the HIF/VEGF pathway. Full article

Background/Objectives: Oral solid dosage forms of traditional Chinese and ethnic medicines are currently undergoing modernisation. The objective of this study is to explore the scope for formulation variation arising from batch-to-batch fluctuations in intermediates, and to identify the factors influencing key quality attributes of honey-containing tablets. In this regard, a machine-learning-based predictive model is being formulated that will integrate and analyse formulation factors and the results characterised by the SeDeM expert system. Utilising the SeDeM index as a mediating variable, the study endeavours to establish a comprehensible and predictable stepwise research pathway to provide a foundation for industrial-scale upscaling. Methods: Twelve SeDeM expert systems were utilised to characterise honey-containing granules for formulation screening, to evaluate their suitability for use in traditional Chinese medicine honey-containing tablet systems, and to identify key limiting factors and the feasibility space affecting the quality of the final product; Based on the QBD philosophy, a TriAD (Tri-criterion Adaptive Design) design scheme was proposed, integrating the horizontal balance of orthogonal designs, the spatial coverage of uniform designs, and the parameter estimation efficiency of D-optimal designs into the experimental layout of the formulation feasibility space; Through further data aggregation, a multi-layer feature set comprising four formulation factors, six SeDeM indicators, and three critical quality attributes (CQAs) was constructed. The mediating effects of the SeDeM indicators were revealed through different pathways involving 37 combinations of simple, linear, and Bootstrap models. Furthermore, 180 linear and non-linear machine learning models (comprising 12 categories of algorithms) were trained to predict formulation and CQA outcomes, ultimately completing the design space mapping and validation. Results: The results show that the SeDeM parameters effectively bridge the CQA results of different honey formulations, with these indicators acting as selective mediators between formulation factors and CQAs. Compared with a pure data model relying solely on raw formulation variables, the introduction of SeDeM knowledge, combined with high-information-content samples obtained via TriAD, improved the predictive performance and robustness of the SeDeM–ML hybrid model in terms of disintegration time and hardness; its R²_LOO increased by 0.267 and 0.510, respectively, and the overall predictive space was significantly expanded. Experimental validation was conducted using formulations within the design space predicted by the optimal model; the results showed that both the prediction bias and the relative standard deviation were less than 5 percent. Conclusions: The present study demonstrates that SeDeM can not only be used to evaluate formulations of honey-containing TCM tablets but also serves as an intermediary bridge linking formulation factors, granule-mechanism variables, and tablet quality outcomes. TriAD, in turn, further translates the QbD philosophy into an actionable formulation space design, thereby providing a development pathway for honey-containing tablets that combines interpretability, predictability, and QbD consistency, and offers new insights for the industrial application of oral TCM preparations. Full article

Hyperuricemia (HUA) is a key pathological basis for gout and uric acid (UA) nephropathy, and its increasing global prevalence presents a substantial public health challenge. Natural products (NPs) have emerged as a research hotspot due to their potential to reduce UA and favourable safety profile; however, comprehensive bibliometric analyses in this area remain limited. In this study, the English literature on NPs with anti-HUA activity published between 2004 and 2026 was retrieved from the Web of Science, Scopus, and PubMed, and analyzed using Bibliometrix (R package), VOSviewer, and CiteSpace. A total of 581 articles were identified, indicating a rapid increase in publication output across 53 countries, 870 institutions, 234 journals, and 3421 authors. China was found to lead the field, with Guangzhou University of Traditional Chinese Medicine contributing the highest number of publications. The Journal of Ethnopharmacology ranked first in publication volume, and Kong Ling-Dong emerged as the most prolific author. Major research foci included xanthine oxidase (XOD), UA metabolism, oxidative stress, inflammatory regulation, gut microbiota, and molecular docking. Perilla frutescens leaves and Terminalia chebula, together with six principal categories of bioactive compounds, demonstrated promising therapeutic potential. Overall, this study elucidates the developmental trends and research frontiers in the field, providing a valuable reference for future investigations. Full article

Background/Objective: Cinnamaldehyde (CA) is a naturally occurring bioactive compound derived from the leaves, bark, roots, and flowers of the Chinese medicinal plant Cinnamomum cassia. It exhibits a broad spectrum of pharmacological properties, encompassing antioxidant, antibacterial, anti-diabetic, antifungal, and anticancer activities. Notably, it has shown potential therapeutic benefits in the management of type 2 diabetes mellitus (T2DM) and non-alcoholic fatty liver disease (NAFLD). Ochratoxin A (OTA), a common contaminant found in foods such as cereals, coffee, and raisins, is also present in traditional Chinese medicinal materials, including Astragalus and liquorice. T2DM and NAFLD share intertwined pathophysiological pathways, including insulin resistance, dyslipidaemia, chronic low-grade inflammation and oxidative stress, with insulin resistance serving as the common pathological hub for both conditions. Consequently, they frequently co-occur and exacerbate each other. OTA exerts dual-targeted toxicity to the pancreas and liver, which may synergistically drive the development of the comorbidity of T2DM and NAFLD. These two processes are mutually causal and together constitute the pathological basis of metabolic comorbidity. Methods: Network toxicology employs toxicological data, gene expression, and protein–protein interaction (PPI) networks to predict the targets of toxins, while network pharmacology, based on systems biology principles, reveals how drugs exert regulatory effects through multiple targets and pathways. In this study, we employed an integrated network toxicology and network pharmacology approach to jointly decipher the potential mechanisms by which CA intervenes in OTA-induced comorbid T2DM-NAFLD. First, a network toxicology approach was employed to preliminarily screen for core toxicological targets responsible for OTA’s pathogenicity. Subsequently, network pharmacology was used to identify potential targets of CA-mediated intervention in the disease. Finally, the common overlap among the CA intervention targets, OTA toxicity targets, and disease targets was defined as the final set of potential targets for CA-mediated intervention in OTA-induced T2DM-NAFLD comorbidity. A PPI network was constructed using the STRING database, and topological analysis was performed with Cytoscape. Core targets were selected using the median values of six parameters—betweenness centrality, closeness centrality, degree centrality, eigenvector centrality, LAC (local average connectivity) score, and network centrality—as cut-off thresholds, and the top 10 key genes were further identified using the cytoHubba plugin. Gene Ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted via the DAVID database, and the results were visualized on the CNSknowall platform. Lastly, molecular docking of the core targets was performed using the CB-DOCK2 platform to validate binding affinity. Results: Based on an integrated analysis of network toxicology, network pharmacology, and molecular docking, 10 key targets were systematically identified. These may serve as potential mediators of cinnamaldehyde in the treatment of OTA-induced T2DM-NAFLD comorbidity. Among these, six targets—albumin (ALB), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), interleukin-6 (IL-6), tumor necrosis factor (TNF), actin beta (ACTB), and estrogen receptor 1 (ESR1)—possess crystal structures amenable to molecular docking. KEGG enrichment analysis revealed that CA and OTA jointly participate in key pathological processes such as the cancer pathway, the lipid and atherosclerosis pathway, the advanced glycation end-products–receptor for advanced glycation end-products (AGE-RAGE) signaling pathway, the phosphatidylinositol 3-kinase–protein kinase B (PI3K-Akt) signaling pathway, the TNF signaling pathway, and the interleukin-17 (IL-17) signaling pathway. OTA exacerbates inflammatory responses, impairs insulin signaling, promotes hepatic steatosis, and disrupts systemic metabolic homeostasis, ultimately contributing to T2DM-NAFLD comorbidity. Conversely, cinnamaldehyde counteracts these pathological processes through multiple mechanisms, including antioxidant and anti-inflammatory effects as well as regulation of glucose and lipid metabolism, thereby restoring metabolic homeostasis. Conclusions: This study has preliminarily identified the toxicological targets of OTA and the potential intervention targets of CA, offering new avenues for preventing and intervening in OTA-induced metabolic toxicity. Furthermore, it provides a theoretical basis for CA as a potential multi-target therapeutic agent and presents novel insights worthy of further investigation into the prevention of T2DM-NAFLD comorbidity. Full article