Literature DB >> 23288054

Evaluation of iodide deficiency in the lactating rat and pup using a biologically based dose-response model.

Jeffrey W Fisher1, Shuang Li, Kevin Crofton, R Thomas Zoeller, Eva D McLanahan, Annie Lumen, Mary E Gilbert.   

Abstract

A biologically based dose-response (BBDR) model for the hypothalamic-pituitary thyroid (HPT) axis in the lactating rat and nursing pup was developed to describe the perturbations caused by iodide deficiency on the HPT axis. Model calibrations, carried out by adjusting key model parameters, were used as a technique to evaluate HPT axis adaptations to dietary iodide intake in euthyroid (4.1-39 µg iodide/day) and iodide-deficient (0.31 and 1.2 µg iodide/day) conditions. Iodide-deficient conditions in both the dam and the pup were described with increased blood flow to the thyroid gland, TSH-mediated increase in thyroidal uptake of iodide and binding of iodide in the thyroid gland (organification), and, in general, reduced thyroid hormone production and metabolism. Alterations in thyroxine (T4) homeostasis were more apparent than for triiodothyronine (T3). Model-predicted average daily area-under-the-serum-concentration-curve (nM-day) values for T4 at steady state in the dam and pup decreased by 14-15% for the 1.2 µg iodide/day iodide-deficient diet and 42-52% for the 0.31 µg iodide/day iodide-deficient diet. In rat pups that were iodide deficient during gestation and lactation, these decreases in serum T4 levels were associated with declines in thyroid hormone in the fetal brain and a suppression of synaptic responses in the hippocampal region of the brain of the adult offspring (Gilbert et al. , 2013).

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Year:  2013        PMID: 23288054     DOI: 10.1093/toxsci/kfs336

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  5 in total

1.  Extrapolating In Vitro Screening Assay Data for Thyroperoxidase Inhibition to Predict Serum Thyroid Hormones in the Rat.

Authors:  Iman Hassan; Hisham El-Masri; Jermaine Ford; Amanda Brennan; Sakshi Handa; Katie Paul Friedman; Mary E Gilbert
Journal:  Toxicol Sci       Date:  2020-02-01       Impact factor: 4.109

2.  Quantitative global sensitivity analysis of a biologically based dose-response pregnancy model for the thyroid endocrine system.

Authors:  Annie Lumen; Kevin McNally; Nysia George; Jeffrey W Fisher; George D Loizou
Journal:  Front Pharmacol       Date:  2015-05-27       Impact factor: 5.810

3.  How Adverse Outcome Pathways Can Aid the Development and Use of Computational Prediction Models for Regulatory Toxicology.

Authors:  Clemens Wittwehr; Hristo Aladjov; Gerald Ankley; Hugh J Byrne; Joop de Knecht; Elmar Heinzle; Günter Klambauer; Brigitte Landesmann; Mirjam Luijten; Cameron MacKay; Gavin Maxwell; M E Bette Meek; Alicia Paini; Edward Perkins; Tomasz Sobanski; Dan Villeneuve; Katrina M Waters; Maurice Whelan
Journal:  Toxicol Sci       Date:  2016-12-19       Impact factor: 4.849

4.  Mechanistic Computational Model for Extrapolating In Vitro Thyroid Peroxidase (TPO) Inhibition Data to Predict Serum Thyroid Hormone Levels in Rats.

Authors:  Sakshi Handa; Iman Hassan; Mary Gilbert; Hisham El-Masri
Journal:  Toxicol Sci       Date:  2021-08-30       Impact factor: 4.109

5.  Dietary Iodine Sufficiency and Moderate Insufficiency in the Lactating Mother and Nursing Infant: A Computational Perspective.

Authors:  W Fisher; Jian Wang; Nysia I George; Jeffery M Gearhart; Eva D McLanahan
Journal:  PLoS One       Date:  2016-03-01       Impact factor: 3.240

  5 in total

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