Drug toxicity prediction plays a crucial role in the drug research and development process, ensuring clinical drug safety. However, traditional methods are hampered by high cost, low throughput, and uncertainty of cross-species extrapolation, which has become a key bottleneck restricting the efficiency of new drug research and development. The breakthrough development of Artificial Intelligence (AI) technology, especially the application of deep learning and multimodal data fusion strategy, is reshaping the scientific paradigm of drug toxicology assessment. In this review, we focus on the application of AI in the field of drug toxicity prediction and systematically summarize the relevant literature and development status globally in the past years. The application of various toxicity databases in the prediction was elaborated in detail, and the research results and methods for the prediction of different toxicity endpoints were analyzed in depth, including acute toxicity, carcinogenicity, organ-specific toxicity, etc. Furthermore, this paper discusses the application progress of AI technologies (e.g., machine learning and deep learning model) in drug toxicity prediction, analyzes their advantages and challenges, and outlines the future development direction. It aims to provide a comprehensive and in-depth theoretical framework and actionable technical strategies for toxicity prediction in drug development.

Oxidative stress is a critical factor contributing to the pathogenesis of numerous diseases, including cardiovascular disorders, diabetes, and neurodegenerative conditions. In recent years, marine-derived antioxidants have emerged as promising therapeutic agents due to their unique biological activities and diverse sources. This comprehensive review explores the therapeutic potential of various marine antioxidants in mitigating oxidative stress-associated diseases. Marine organisms are rich in bioactive compounds, such as polysaccharides, polyphenols, carotenoids, peptides, and vitamins, which exhibit potent antioxidant and free radical scavenging abilities. These compounds have been shown to effectively inhibit oxidative reactions, repair oxidative damage, and enhance the body’s antioxidant defense mechanisms. For instance, marine polysaccharides and their derivatives can scavenge reactive oxygen species (ROS), protect neurons from oxidative damage, and alleviate inflammation in neurodegenerative diseases like Alzheimer’s and Parkinson’s diseases. Similarly, marine unsaturated fatty acids, such as omega-3 polyunsaturated fatty acids (PUFAs), have been found to reduce cardiovascular risks by lowering serum triglyceride levels and improving vascular endothelial function. Additionally, marine-derived superoxide dismutase (SOD) plays a crucial role in neutralizing ROS, thereby offering protection against oxidative stress in various diseases. Despite these promising findings, challenges remain in the field, including the need for improved extraction and purification technologies, more comprehensive activity evaluation systems, and further research into the safety and bioavailability of these compounds. This review provides a detailed overview of the current research status, highlighting the types, structural characteristics, antioxidant activities, and mechanisms of action of marine antioxidants. It also identifies key areas for future research and development, aiming to harness the full potential of marine-derived antioxidants in the prevention and treatment of oxidative stress-related diseases.

This study integrates network toxicology with molecular docking technology to systematically elucidate the key molecular mechanisms and signaling pathways by which bisphenol A (BPA) induces obesity. By cross-referencing multiple databases—including the Comparative Toxicogenomics Database (CTD), SwissTarget prediction platform, and PharmMapper—potential BPA target genes were identified, yielding a total of 1326 candidate targets. Obesity-related genes were collected from GeneCards and OMIM databases, yielding 4570 disease-associated targets. Among these, 653 overlapping genes were identified as potential mediators linking BPA exposure to obesity. Protein interaction networks were constructed using STRING and Cytoscape, and the MCC algorithm identified five core hub genes: STAT3, MYC, TP53, IL6, and mTOR. Validation using random datasets demonstrated significant upregulation of these genes in the obesity group (p < 0.05), highlighting their potential central role in BPA-induced obesity effects. Functional enrichment analysis via GO and KEGG pathways indicated that BPA may promote obesity by interfering with endocrine signaling, activating lipid metabolism, and stimulating atherosclerosis pathways. Molecular docking analysis using CB-Dock2 confirmed strong binding affinity between BPA and core targets, providing structural evidence for their potential interactions. This study elucidates the potential biological mechanism by which BPA exacerbates obesity through endocrine disruption and metabolic reprogramming, employing a multidimensional approach encompassing cross-target analysis, pathway enrichment, and molecular interactions. It provides an innovative systems toxicology framework and empirical basis for assessing metabolic health risks induced by environmental pollutants.

This study investigated the molecular mechanisms by which phthalates induce depression, utilizing network toxicology and molecular docking techniques. By integrating the TargetNet, GeneCards, and PharmMapper databases, 658 potential target genes of phthalates were identified. Additionally, 5433 depression-related targets were retrieved from the GeneCards and OMIM databases. Comparative analysis revealed 360 common targets implicated in both phthalate action and depression. A Protein-Protein Interaction (PPI) network was constructed using the STRING database. Subsequently, the CytoHubba plugin (employing the MCC algorithm) within Cytoscape was used to screen the network, identifying the top 20 hub genes. These core genes include AKT1, CASP3, TNF, TP53, BCL2, and IL6, among others. Validation on the GEO dataset (GSE23848) revealed that the expression of multiple core genes was significantly upregulated in patients with depression (p < 0.05). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses indicated that phthalates mainly regulate biological processes such as extracellular stimulus response, lipopolysaccharide metabolism, and chemical synaptic transmission. Depression is mediated by the AGE-RAGE signaling pathway (a complication of diabetes), lipids and atherosclerosis, Endocrine resistance, and the PI3K-Akt signaling pathway. Molecular docking confirmed that phthalates have strong binding activity with key targets (CASP3, TNF, TP53, BCL2, IL6). These findings present a novel paradigm for evaluating the health risks posed by environmental pollutants.

The occurrence and development of metabolic dysfunction-associated steatotic liver disease (MASLD) are closely related to intestinal flora imbalance, intestinal barrier damage, and gut-liver axis dysfunction. Due to their multi-target regulatory effects and advantages in intestinal microecological intervention, Chinese herbal monomers have shown promising application prospects in the prevention and treatment of MASLD. However, basic research on their toxicity still lags behind, and issues related to safety and clinical translation urgently need attention. This article systematically reviews the research progress on how flavonoids, triterpenoids, alkaloids, and polysaccharides improve hepatic steatosis, inflammatory responses, and metabolic disorders from a toxicological perspective by reshaping the intestinal microbiota, repairing the intestinal mucosal barrier, regulating short-chain fatty acid and bile acid metabolism, and synergistically acting on signaling pathways such as TLR4/NF-kB, FXR, TGR5, SIRT1, and the NLRP3 inflammasome. Furthermore, by combining methods such as 16S rRNA sequencing, metagenomics, metabolomics, and multi-omics integration, the article analyzes their application value and limitations in toxicological mechanism research, and discusses the translational bottlenecks faced by Chinese herbal monomers in pharmacokinetics, bioavailability, quality standardization, targeted delivery, and toxicological safety. Existing evidence indicates that Chinese herbal monomers have a three-in-one intervention advantage of microecological remodeling-metabolic regulation-inflammation inhibition, but their long-term medication safety, toxic target organs, dose-effect/toxicity relationships, and potential drug interactions still need further clarification. This article aims to provide a systematic reference for the safety evaluation and clinical translational research of Chinese herbal monomers in the prevention and treatment of MASLD.

Microphysiological Systems (MPS) have emerged as a transformative platform in biomedical research, enabling the investigation of disease mechanisms, drug screening, and toxicity prediction by closely simulating human physiological functions. However, the rapid advancement of MPS technology has raised a series of complex ethical challenges. These include the sourcing and application of human-derived stem cells, the protection of donors’ personal and genetic data, the potential for brain organoids to develop consciousness-like characteristics, and the challenges to species boundaries posed by human–animal chimera research. Meanwhile, although regulatory authorities encourage innovation, specialized certification standards and ethical review guidelines for MPS are yet to be fully established. The lack of technical standardization and a coherent ethical governance framework remain a major bottleneck hindering the broader application and industrialization of MPS. This review systematically outlines the key ethical issues facing MPS, compares the evolution and differences in international ethical regulatory frameworks, and discusses strategies for addressing these challenges—including the establishment of dynamic ethical governance mechanisms, harmonization of international standards, and the promotion of benefit-sharing and public engagement. Finally, we highlight the need to develop a scientific, unified, and actionable ethical governance system that balances technological innovation with responsible translation, supporting the sustainable development of MPS technology.