Background: Adverse outcome pathways (AOPs) link adverse effects in individuals or populations to a molecular initiating event (MIE) that can be quantified using in vitro methods. Practical application of AOPs in chemical-specific risk assessment requires incorporation of knowledge on exposure, along with absorption, distribution, metabolism, and excretion (ADME) properties of chemicals.
Objectives: We developed a conceptual workflow to examine exposure and ADME properties in relation to an MIE. The utility of this workflow was evaluated using a previously established AOP, acetylcholinesterase (AChE) inhibition.
Methods: Thirty chemicals found to inhibit human AChE in the ToxCast™ assay were examined with respect to their exposure, absorption potential, and ability to cross the blood–brain barrier (BBB). Structures of active chemicals were compared against structures of 1,029 inactive chemicals to detect possible parent compounds that might have active metabolites.
Results: Application of the workflow screened 10 “low-priority” chemicals of 30 active chemicals. Fifty-two of the 1,029 inactive chemicals exhibited a similarity threshold of ≥ 75% with their nearest active neighbors. Of these 52 compounds, 30 were excluded due to poor absorption or distribution. The remaining 22 compounds may inhibit AChE in vivo either directly or as a result of metabolic activation.
Conclusions: The incorporation of exposure and ADME properties into the conceptual workflow eliminated 10 “low-priority” chemicals that may otherwise have undergone additional, resource-consuming analyses. Our workflow also increased confidence in interpretation of in vitro results by identifying possible “false negatives.”
Citation: Phillips MB, Leonard JA, Grulke CM, Chang DT, Edwards SW, Brooks R, Goldsmith MR, El-Masri H, Tan YM. 2016. A workflow to investigate exposure and pharmacokinetic influences on high-throughput in vitro chemical screening based on adverse outcome pathways. Environ Health Perspect 124:53–60; http://dx.doi.org/10.1289/ehp.1409450
*These authors contributed equally to this work.
Address correspondence to Y.-M. Tan, 109 T.W. Alexander Dr., Mail Code E205-01, Research Triangle Park, NC 27709 USA. Telephone: (919) 541-2542. E-mail: tan.cecilia@epa.gov
We thank D. Villeneuve, D. Lyons, and R. Tornero-Velez for their review and comments.
M.B.P. and J.A.L. were funded through the Oak Ridge Institute for Science and Education Research Participation Program at the U.S. EPA.
The U.S. EPA provided administrative review and approved this paper for publication. The views expressed in this paper are those of the authors and do not necessarily reflect the views of the U.S. EPA.
M.-R.G. and D.T.C. are employed by the Chemical Computing Group Inc., the publisher of the Molecular Operating Environment (MOE) software. The other authors declare they have no actual or potential competing financial interests.
Received: 7 November 2014 Accepted: 13 May 2015 Advance Publication: 15 May 2015 Final Publication: 1 January 2016
Note to readers with disabilities: EHP strives to ensure that all journal content is accessible to all readers. However, some figures and Supplemental Material published in EHP articles may not conform to 508 standards due to the complexity of the information being presented. If you need assistance accessing journal content, please contact ehp508@niehs.nih.gov . Our staff will work with you to assess and meet your accessibility needs within 3 working days.
Supplemental Material PDF (129 KB)Note to readers with disabilities: EHP has provided a 508-conformant table of contents summarizing the Supplemental Material for this article (see below) so readers with disabilities may determine whether they wish to access the full, nonconformant Supplemental Material. If you need assistance accessing this or any other content on this site, please contact ehp508@niehs.nih.gov . Our staff will work with you to assess and meet your accessibility needs within 3 working days.
Supplemental Table of Contents PDF (110 KB)