Combining In Vitro and In Silico New Approach Methods to Investigate Type 3 Iodothyronine Deiodinase Chemical Inhibition Across Species

Author:

Mayasich Sally A.12ORCID,Goldsmith Michael R.34,Mattingly Kali Z.5,LaLone Carlie A.2ORCID

Affiliation:

1. Aquatic Sciences Center University of Wisconsin‐Madison Madison Wisconsin USA

2. Office of Research and Development, Center for Computational Toxicology and Ecology, Great Lakes Toxicology and Ecology Division US Environmental Protection Agency Duluth Minnesota

3. Office of Research and Development, US Environmental Protection Agency Research Triangle Park North Carolina

4. Congruence Therapeutics Montreal Quebec Canada

5. SpecPro Professional Services Duluth Minnesota USA

Abstract

AbstractNew approach methodologies (NAMs) are being developed to reduce and replace vertebrate animal testing in support of ecotoxicology and risk assessment. The US Environmental Protection Agency's Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) bioinformatic tool was used to evaluate amino acid sequence conservation of the type 3 iodothyronine deiodinase (DIO3) enzyme across species to demonstrate NAM applications for understanding effects of chemical interactions with a specific protein target. Existing literature was used to identify critical amino acids for thyroid hormone binding and interaction with a reducing cofactor. The SeqAPASS tool identifies whether known critical amino acids involved in ligand binding are exact, partial, or not matches across species compared with a template species based on molecular weight and side chain classification. This evaluation guided the design of variant proteins representing critical amino acid substitutions found in various species. Site‐directed mutagenesis of the wild‐type (WT) human DIO3 gene sequence was used to create six variant proteins expressed in cell culture, which were then tested in vitro for chemical inhibition. Significant differences in in vitro median inhibitory concentration results were observed among variants for potential competitive inhibitors. A molecular model representing the WT human DIO3 was constructed using Molecular Operating Environment (MOE) software and mutated in silico to create the six variants. The MOE Site Finder tool identified the proposed catalytic and cofactor sites and potential alternative binding sites. Virtual docking did not provide affinity scores with sufficient resolution to rank the potency of the chemical inhibitors. Chemical characteristics, function and location of substituted amino acids, and complexities of the protein target are important considerations in developing NAMs to evaluate chemical susceptibility across species. Environ Toxicol Chem 2023;42:1032–1048. © 2023 University of Wisconsin‐Madison. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

Publisher

Wiley

Subject

Health, Toxicology and Mutagenesis,Environmental Chemistry

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