Skip to Main Navigation
Skip to Page Content

COVID-19 is an emerging, rapidly evolving situation.

Get the latest public health information from CDC and research information from NIH.

U.S. flag

An official website of the United States government

Dot gov

The .gov means it's official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you're on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Share This:
https://ntp.niehs.nih.gov/go/niceatm-ivive

In Vitro to In Vivo Extrapolation

A workflow for conducting in vitro to in vivo extrapolation (IVIVE) analyses is available in the Integrated Chemical Environment (ICE). The March 2020 ICE 3.0 update features improvements to the IVIVE tool. In response to customer requests, ICE now allows users to upload their own data for IVIVE analyses. A new physiologically based toxicokinetic model has been added, and the output graphics have been improved.

A key issue with high-throughput in vitro testing methods is how to accurately relate concentrations of substances that induce in vitro responses to in vivo exposure levels that could result in human or animal adverse effects. This relationship is established through IVIVE, the focus of a NICEATM webinar series and following workshop during 2015 and 2016.

Scientists interested in the use of IVIVE for substance screening and risk decision-making met at the 2016 workshop to develop best practices and identify areas for further research. The workshop, co-organized by NICEATM and EPA, was summarized in a 2018 publication in the journal Toxicology In Vitro (Bell et al. 2018).

NICEATM's computational toxicologists developed methods for conducting IVIVE analyses, described in a publication in the journal Applied In Vitro Toxicology (Chang et al. 2014). Subsequent work focused on understanding the impact of various parameters, such as using free plasma concentration as a surrogate for total plasma concentration, and comparing multiple modeling approaches. This work is described in a publication in Environmental Health Perspectives (Casey et al. 2018).

Application of these IVIVE approaches to predict the potential of substances to cause developmental toxicity and to interact with the endocrine system was described in a poster presented at the 2017 SOT Annual Meeting (Chang et al.). Current work on developmental toxicity is evaluating the impact of pharmacokinetics and different modeling approaches on predicting relevant external exposure. Preliminary results using data from a specific in vitro stem cell-based assay as input for IVIVE suggest that these approaches could quantitatively predict in vivo developmental toxicity potential of valproate analogues. An abstract describing this work (Chang et al.) was accepted for presentation at the 2020 SOT annual meeting.