| 英文摘要 |
With advancements in technology, the diversity of chemical substances has increased rapidly; however, comprehensive toxicological data are available for only a limited subset of these chemicals. In light of concerns surrounding animal welfare, as well as the need for time- and cost-efficient approaches, developing new approach methodologies (NAMs) to minimize the use of laboratory animals has become a pressing priority. This project builds upon a previously established transcriptomics-based Key Characteristics (KCs) method to optimize the sensitivity and specificity of reproductive toxicity screening. Using quantitative data from multi-concentration assays on the MCF-7 breast cancer cell line, the reliability of the screening method was validated through case studies on nonylphenol and its derivatives. Furthermore, this study investigated whether the inclusion of extracellular metabolomic data could enhance the performance of the screening method. Finally, to explore technologies applicable for investigating the potential chemical exposure scenarios among the population, research will focus on emerging sampling methods for chemical exposure assessment. Additionally, the feasibility of applying these methods in Taiwan will be examined, along with outlining the priority targets and contexts for their implementation. The transcriptomics-based reproductive toxicity screening method, developed using data from 81 chemicals, demonstrated a sensitivity of 88% and a specificity of 56%. Future work will aim to expand the chemical applicability domain of this method by incorporating insights from the latest international research, thereby improving its reliability and utility in identifying reproductive toxicants.
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