Screening Priority Factors Determining and Predicting the Reproductive Toxicity of Various Nanoparticles

• DOI: 10.1021/acs.est.8b02757
• Publication Date: 2018-07-30T17:47:04Z
• Authors: Zhan Ban; Qixing Zhou; Anqi Sun; Li Mu; Xiangang Hu
• Keywords: Nanotoxicology; Reproductive toxicity

Due to the numerous factors (e.g., nanoparticle [NP] properties and experimental conditions) influencing nanotoxicity, it is difficult identify priority dominating nanotoxicity. Herein, by integrating data from literature a random forest model, determining reproductive toxicity were successfully screened highly heterogeneous data. Among 10 more than 18 different NPs, NP type exposure pathway found dominantly determine accumulation. The of various NPs primarily depended on indicators. Nanoparticles containing major elements Zn Fe) tended accumulate in rats but induced lower noble elements. Compared with other pathways, i.p. injection posed significantly higher risks for By combining similarity network analysis hierarchical clustering, sources identified, factor-toxicity dependencies extracted visualized, prediction nanotoxicity was then achieved based factors. present work provides insights design animal experiments illustration