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Towards Translating In Vitro Measures of Thyroid Hormone System Disruption to In Vivo Responses in the Pregnant Rat via a Biologically Based Dose Response (BBDR) model

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Abstract: Despite the number of in vitro assays that have been recently developed to identify chemicals that interfere with the hypothalamic-pituitary-thyroid axis (HPT), the translation of those in vitro results into in vivo responses (in vitro to in vivo extrapolation, IVIVE) has received limited attention from the modeling community. To help advance this field a steady state biologically based dose response (BBDR) model for the HPT axis was constructed for the pregnant rat on gestation day (GD) 20. The BBDR HPT axis model predicts plasma levels of thyroid stimulating hormone (TSH) and the thyroid hormones, thyroxine (T4) and triiodothyronine (T3). Thyroid hormones are important for normal growth and development of the fetus. Perchlorate, a potent inhibitor of thyroidal uptake of iodide by the sodium iodide symporter (NIS) protein, was used as a case study for the BBDR HPT axis model. The inhibitory blocking of the NIS by perchlorate was associated with dose-dependent steady state decreases in thyroid hormone production in the thyroid gland. The BBDR HPT axis model predictions for TSH, T3, and T4 plasma concentrations in pregnant Sprague Dawley (SD) rats were within 2-fold of observations for drinking water perchlorate exposures ranging from 10 to 30,000 μg/kg/d. In Long Evans (LE) pregnant rats, for both control and perchlorate drinking water exposures, ranging from 85 to 82,000 μg/kg/d, plasma thyroid hormone and TSH concentrations were predicted within 2 to 3.4- fold of observations. This BBDR HPT axis model provides a successful IVIVE template for thyroid hormone disruption in pregnant rats. 

Impact/Purpose

Despite the number of in vitro assays that have been recently developed to identify chemicals that interfere with the hypothalamic-pituitary-thyroid axis (HPT), the translation of those in vitro results into in vivo responses (in vitro to in vivo extrapolation, IVIVE) has received limited attention from the modeling community. To help advance this field a steady state biologically based dose response (BBDR) model for the HPT axis was constructed for the pregnant rat on gestation day (GD) 20. The overall objective of this study was to construct a fit-for-purpose BBDR HPT axis model in late pregnancy of the rodent with the eventual capability of predicting thyroid hormone disruption by different molecular initiating events (MIEs). The BBDR HPT axis model predicts plasma levels of thyroid stimulating hormone (TSH) and the thyroid hormones, thyroxine (T4) and triiodothyronine (T3) using perchlorate, a potent inhibitor of thyroidal uptake of iodide by the sodium iodide symporter (NIS) protein, as a case study.  This BBDR HPT axis model presents a template for conducting IVIVE, successfully providing thyroid hormone and TSH predictions for pregnant rats in late gestation. As more HPT axis models are exercised with in vitro MIE data and limited in vivo data, the utility of this methodology will be forthcoming. Extending the current BBDR HPT axis model to incorporate the fetus and earlier times in maternal pregnancy would enhance effectiveness since the fetus is the focus of the public health concern. The development of a  human BBDR HPT axis model in pregnancy is necessary and can be used for IVIVE using MIE data generated from in vitro assays of human induced pluripotent stem cells (iPSCs) transfected cells with human proteins and receptors, and human based organoids.

Citation

Fisher, J., C. Housand, D. Mattie, A. Nong, M. Moreau, AND M. Gilbert. Towards Translating In Vitro Measures of Thyroid Hormone System Disruption to In Vivo Responses in the Pregnant Rat via a Biologically Based Dose Response (BBDR) model. Elsevier B.V., Amsterdam, NETHERLANDS, 479:116733, (2023). [DOI: 10.1016/j.taap.2023.116733]

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DOI: Towards Translating In Vitro Measures of Thyroid Hormone System Disruption to In Vivo Responses in the Pregnant Rat via a Biologically Based Dose Response (BBDR) model
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Last updated on July 07, 2025
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