Triclosan exposure potentiates ischemic stroke risk: Multi-omics integration and molecular docking unveil neurotoxic mechanisms.

Journal: Ecotoxicology and environmental safety
Published Date:

Abstract

This study applied network toxicology and multimodal biological approaches integrated with machine learning to systematically identify four TCS-IS-related genes, providing a comprehensive understanding of the pathophysiological relationship between triclosan exposure and ischemic stroke (IS). A predictive model for TCS-associated IS risk was developed, complemented by mechanistic insights through the construction of miRNA-TF-mRNA regulatory networks and GeneMANIA functional prediction maps. SHAP analysis clarified feature contributions, confirming the model's robustness. Molecular docking analysis further validated the heightened genetic vulnerability to TCS exposure in IS pathogenesis. The research offers two key contributions: 1) A quantifiable framework for assessing environmental toxicant risks in cerebrovascular diseases, and 2) Strong evidence advocating for urgent innovation in biocompatible material and enhanced regulatory oversight of TCS use. These findings fill critical gaps in environmental neurotoxicology and establish new paradigms for predictive toxicological modeling. SYNOPSIS: Widespread triclosan exposure exacerbates human stroke risk, urging prioritized regulation of this persistent environmental toxicant in consumer and medical products.

Authors

  • Fangyuan Cheng
    Chengdu Boltzmann Intelligence Technology Co., Ltd, Chengdu, China.
  • Han Gao
    Zhejiang Construction Investment Environment Engineering Co, Ltd., Hangzhou, 310013, PR China.
  • Bo Yan
    School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China.
  • Fanglian Chen
    Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100050, China. Electronic address: chenfanglian1976@163.com.
  • Ping Lei
    Department of Geriatrics, Tianjin Medical University General Hospital, Anshan Road No. 154, Tianjin 300052, China; Key Laboratory of Post-Trauma Neuro-Repair and Regeneration in Central Nervous System, Tianjin Key Laboratory of Injuries, Variations and Regeneration of Nervous System, Tianjin Neurological Institute, Ministry of Education, Tianjin 300052, China. Electronic address: leiping1974@163.com.