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Journal Article
Progress in toxicogenomics to protect human health
2025
Overview
Toxicogenomics measures molecular features, such as transcripts, proteins, metabolites and epigenomic modifications, to understand and predict the toxicological effects of environmental and pharmaceutical exposures. Transcriptomics has become an integral tool in contemporary toxicology research owing to innovations in gene expression profiling that can provide mechanistic and quantitative information at scale. These data can be used to predict toxicological hazards through the use of transcriptomic biomarkers, network inference analyses, pattern-matching approaches and artificial intelligence. Furthermore, emerging approaches, such as high-throughput dose–response modelling, can leverage toxicogenomic data for human health protection even in the absence of predicting specific hazards. Finally, single-cell transcriptomics and multi-omics provide detailed insights into toxicological mechanisms. Here, we review the progress since the inception of toxicogenomics in applying transcriptomics towards toxicology testing and highlight advances that are transforming risk assessment.
Toxicogenomics leverages molecular data to predict toxicological effects. In this Review, the authors summarize innovations in transcriptomics and emerging methods, such as single-cell technologies and multi-omics, that offer detailed insights into toxicological mechanisms to enhance hazard prediction and risk assessment.
Publisher
Nature Publishing Group UK,Nature Publishing Group
