Unveiling the toxicity secrets of eugenol-like compounds: from interaction mechanisms to treatment strategies

毒性 计算生物学 肝毒性 生物信息学 代谢组学 信号转导 药理学 疾病 机制(生物学) 对接(动物) 肿瘤微环境 肝细胞癌 肝损伤 医学 表面等离子共振 癌症 肝癌 免疫系统 体外毒理学 通路分析 肝病 计算模型 交互网络 细胞信号 药物发现 生物
作者
Wenwen Wang
出处
期刊:Environment International [Elsevier BV]
卷期号:204: 109797-109797 被引量:4
标识
DOI:10.1016/j.envint.2025.109797
摘要

• In silico and experimental methods are used to assess ELCs’ toxicity and mechanisms. • ELCs stably bind to core proteins, inducing liver injury and liver cancer. • Core proteins are significantly enriched in cancer- and immunity-related pathways. • ELCs impact clinical outcomes and TME infiltration in liver disease patients. • This study offers novel targets and strategies for product safety and disease management. Eugenol, isoeugenol, and methyleugenol are among the most widely used natural phenolic compounds in food, pharmaceuticals, and cosmetics. This study aims to comprehensively evaluate the toxicity and underlying mechanisms of eugenol-like compounds through integrating network toxicology, computational modeling, in vitro experiments, and disease bioinformatics. First, we established their association with liver diseases using toxicity prediction databases and published literature. Next, we anchored their core targets for inducing liver injury and liver cancer, particularly the top five targets—EGFR, SRC, HSP90AA1, TNF, and ESR1—through various compound, disease, and protein–protein interaction databases, alongside Cytoscape software. Molecular docking and dynamics simulation, combined with surface plasmon resonance experiments, confirmed stable binding of these compounds to core proteins. Functional enrichment analyses revealed significant enrichment of these targets in cancer-related pathways, signal transduction, viral infectious diseases, endocrine and metabolic diseases, and immune systems. Notably, chemical carcinogenesis–receptor activation and the IL-17 signaling pathway emerged as key cancer and immune-related pathways influencing liver diseases. Using multi-omics databases and R software, we validated the prognostic significance of these core targets in liver cancer patients. Based on three independent prognostic markers (CHEK1, CYP2C9, and HSP90AA1), we developed a novel risk-scoring system with robust predictive efficacy and demonstrated their correlation with tumor microenvironment infiltration, particularly Th2 and Th17 cell infiltration. These novel mechanistic insights and improved approaches enable more accurate safety assessments for eugenol-like compounds-based consumer products while informing innovative therapeutic strategies that combine multi-target and multi-pathway intervention with immunomodulation for liver disease management.
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