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Usage Information

Thyroid hormone resistance and increased metabolic rate in the RXR-γ–deficient mouse
Nicole S. Brown, Alexandra Smart, Vibha Sharma, Michelle L. Brinkmeier, Lauren Greenlee, Sally A. Camper, Dalan R. Jensen, Robert H. Eckel, Wojciech Krezel, Pierre Chambon, Bryan R. Haugen
Nicole S. Brown, Alexandra Smart, Vibha Sharma, Michelle L. Brinkmeier, Lauren Greenlee, Sally A. Camper, Dalan R. Jensen, Robert H. Eckel, Wojciech Krezel, Pierre Chambon, Bryan R. Haugen
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Article

Thyroid hormone resistance and increased metabolic rate in the RXR-γ–deficient mouse

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Abstract

Vitamin A and retinoids affect pituitary-thyroid function through suppression of serum thyroid-stimulating hormone (TSH) levels and TSH-β subunit gene expression. We have previously shown that retinoid X receptor–selective (RXR-selective) ligands can suppress serum TSH levels in vivo and TSH-β promoter activity in vitro. The RXR-γ isotype has limited tissue distribution that includes the thyrotrope cells of the anterior pituitary gland. In this study, we have performed a detailed analysis of the pituitary-thyroid function of mice lacking the gene for the RXR-γ isotype. These mice had significantly higher serum T4 levels and TSH levels than did wild-type (WT) controls. Treatment of RXR-γ–deficient and WT mice with T3 suppressed serum TSH and T4 levels in both groups, but RXR-γ–deficient mice were relatively resistant to exogenous T3. RXR-γ–deficient mice had significantly higher metabolic rates than did WT controls, suggesting that these animals have a pattern of central resistance to thyroid hormone. RXR-γ, which is also expressed in skeletal muscle and the hypothalamus, may have a direct effect on muscle metabolism, regulation of food intake, or thyrotropin-releasing hormone levels in the hypothalamus. In conclusion, the RXR-γ isotype appears to contribute to the regulation of serum TSH and T4 levels and to affect peripheral metabolism through regulation of the hypothalamic-pituitary-thyroid axis or through direct effects on skeletal muscle.

Authors

Nicole S. Brown, Alexandra Smart, Vibha Sharma, Michelle L. Brinkmeier, Lauren Greenlee, Sally A. Camper, Dalan R. Jensen, Robert H. Eckel, Wojciech Krezel, Pierre Chambon, Bryan R. Haugen

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Usage data is cumulative from August 2025 through August 2026.

Usage JCI PMC
Text version 954 63
PDF 195 18
Figure 922 0
Citation downloads 206 0
Totals 2,277 81
Total Views 2,358
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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