Multi-dimensional in vitro bioactivity profiling for grouping of glycol ethers.

ABSTRACT: High-content screening data derived from physiologically-relevant in vitro models promise to improve confidence in data-integrative groupings for read-across in human health safety assessments. The biological data-based read-across concept is especially applicable to bioactive chemicals with defined mechanisms of toxicity; however, the challenge of data-derived groupings for chemicals that are associated with little or no bioactivity has not been explored. In this study, we apply a suite of organotypic and population-based in vitro models for comprehensive bioactivity profiling of twenty E-Series and P-Series glycol ethers, solvents with a broad variation in toxicity ranging from relatively non-toxic to reproductive and hematopoetic system toxicants. Both E-Series and P-Series glycol ether

SUBMITTER: Grimm FA 

PROVIDER: S-EPMC6333527 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature