Comparative glucocorticoid receptor agonism: In silico, in vitro, and in vivo and identification of potential biomarkers for synthetic glucocorticoid exposure

生物信息学 糖皮质激素受体 生物 斑马鱼 体内 糖皮质激素 痛苦 计算生物学 药理学 遗传学 内分泌学 基因 政治学 政治 法学
作者
Alexander R. Cole,Brett R. Blackwell,Jenna E. Cavallin,Jacob Collins,Ashley R Kittelson,Yesmeena M. Shmaitelly,Laura M. Langan,Daniel L. Villeneuve,Bryan W. Brooks
出处
期刊:Environmental Toxicology and Chemistry [Wiley]
卷期号:44 (9): 2545-2556 被引量:3
标识
DOI:10.1093/etojnl/vgae041
摘要

Abstract The glucocorticoid receptor (GR) is present in almost every vertebrate cell and is utilized in many biological processes. Despite an abundance of mammalian data, the structural conservation of the receptor and cross-species susceptibility, particularly for aquatic species, has not been well defined. Efforts to reduce, refine, and/or replace animal testing have increased, driving the impetus to advance development of new approach methodologies (NAMs). Here we used in silico, in vitro, and in vivo methods to elucidate a greater understanding of receptor-mediated effects of synthetic glucocorticoid exposure in teleost fish. Evolutionary conservation of amino acid residues critical for transcriptional activation was confirmed in silico using sequence alignment to predict across species susceptibility. Subsequent in vitro assays using zebrafish and human GR provided evidence of physiological congruence of GR agonism. Finally, adult fathead minnows (Pimephales promelas) were exposed in vivo to the synthetic glucocorticoids, dexamethasone (0.04, 400, 4,000 µg/L) and beclomethasone dipropionate (130 µg/L), and GR agonism confirmed via digital polymerase chain reaction; in addition, EcoToxChip analyses identified potential mRNA biomarkers following glucocorticoid exposure. These findings support the use of NAMs to potentially reduce multispecies in vivo experimentation while providing empirical evidence that expands the taxonomic domain of applicability for the GR agonism molecular initiating event within the broader GR agonism adverse outcome pathway network.

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