Traditional toxicity testing approaches using laboratory animals are expensive and time-consuming, and the use of animals raises both ethical concerns and issues of interspecies differences. The drawbacks of traditional testing may be overcome by the use of human cell-based, biochemical, and/or computational methods to predict chemical toxicity. But because of the complexity of toxicity mechanisms, data from several methods usually need to be considered in combination to adequately predict toxic effects.
Integrated approaches to testing and assessment (IATAs) use an iterative approach to answer a defined hazard characterization question within a specific regulatory context. An IATA:
A defined approach to testing and assessment can be used as part of an IATA or on its own to satisfy a need for hazard information. A defined approach consists of:
Defined approaches are rule-based and do not utilize expert judgment. Input data may be derived from in vitro test methods or from computational approaches such as “read-across,” in which toxicity data from a known chemical is used to predict toxicity for another, similar chemical. The input data is run through the data interpretation procedure to generate a hazard prediction.
Two examples of defined approaches are sequential testing strategies and integrated testing strategies.
More information about IATAs and defined approaches is available on the website of the Organisation for Economic Co-operation and Development.
NICEATM and its collaborators have developed integrated testing strategies to identify potential skin sensitizers (substances with the potential to cause allergic contact dermatitis).
NICEATM and scientists with the U.S. Environmental Protection Agency (EPA) developed an integrated testing strategy that combines data from 18 high throughput screening assays with a mathematical model to identify chemicals with the potential to interact with the estrogen receptor pathway. Use of this integrated testing strategy has been accepted by the EPA as an alternative to three assays currently used in its Endocrine Disruptor Screening Program Tier I battery.
Reference: Browne et al. 2015. Screening chemicals for estrogen receptor bioactivity using a computational model. Environ Sci Technol 49:8804-8814.
Similarly, NICEATM and EPA scientists developed an integrated testing strategy that combines data from 11 high throughput screening assays with a mathematical model to identify chemicals with the potential to interact with the androgen receptor pathway. The EPA is currently considering whether this approach is potentially useful for replacement of existing tests currently required in the Endocrine Disruptor Screening Program.
Reference: Kleinstreuer et al. 2017. Development and validation of a computational model for androgen receptor activity. Chem Res Toxicol 30(4):946-964.