Glucocorticoids influence a wide range of metabolic processes in the human body and excessive glucocorticoid exposure is known to contribute to the development of metabolic disease. We evaluated the utility of the novel glucocorticoid receptor (GR) antagonist CORT125281 for its potential to overcome adiposity, glucose intolerance and dyslipidaemia, and compared this head-to-head with classic GR antagonist RU486 (mifepristone). We show that, while RU486 displays cross-reactivity to the progesterone and androgen receptor, CORT125281 selectively inhibits GR transcriptional activity. In a mouse model for diet-induced obesity, rhythmicity of circulating corticosterone levels was disturbed. CORT125281 restored this disturbed rhythmicity, in contrast to RU486 that further inhibited endogenous corticosterone levels and suppressed adrenal weight. Both CORT125281 and RU486 reduced body weight gain and fat mass. In addition CORT125281, but not RU486, lowered plasma levels of triglycerides, cholesterol and free fatty acids, and strongly stimulated triglyceride-derived fatty acid uptake by brown adipose tissue depots. In combination with reduced lipid content in brown adipocytes, this indicates that CORT125281 enhances metabolic activity of brown adipose tissue depots. CORT125281 was also found to increase liver lipid accumulation. Taken together, CORT125281 displayed a wide range of beneficial metabolic activities, that are in part distinct from RU486, but clinical utility may be limited due to liver lipid accumulation. This warrants further evaluation of GR antagonists or selective modulators that are not accompanied by liver lipid accumulation, while preserving their beneficial metabolic activities.
Glucocorticoid signaling is context-dependent, and in certain scenarios glucocorticoid receptors (GR) are able to engage with other members of the nuclear receptor subfamily. Glucocorticoid signaling can exert sexually dimorphic effects, suggesting a possible interaction with androgen sex hormones. We therefore set out to determine the crosstalk between glucocorticoids and androgens in metabolic tissues including white adipose tissue, liver and brown adipose tissue. Thereto we exposed male C57BL/6J mice to elevated levels of corticosterone in combination with an androgen receptor (AR) agonist or an AR antagonist. Systemic and local glucocorticoid levels were determined by mass spectrometry, tissue expression of glucocorticoid-responsive genes and protein was measured by RT-qPCR and Western blot, respectively. To evaluate crosstalk in vitro, cultured white and brown adipocytes were exposed to a combination of corticosterone and an androgen agonist. We found that AR agonism potentiated transcriptional response to GR in vitro in white and brown adipocytes and in vivo in white and brown adipose tissue. Conversely, AR antagonism substantially attenuated glucocorticoid signaling in white adipose tissue and liver. In white adipose tissue this effect could partially be attributed to decreased 11B-hydroxysteroid dehydrogenase type 1-mediated glucocorticoid regeneration upon AR antagonism. In liver, attenuated GR activity was independent of active glucocorticoid ligand levels. We conclude that androgen signaling modulates GR transcriptional output in a tissue-specific manner.
Glucocorticoids are powerful modulators of brain function. They act via mineralocorticoid and glucocorticoid receptors (MR and GR). These are best understood as transcription factors. Although many glucocorticoid effects depend on the modulation of gene transcription, it is a major challenge to link gene expression to function given the large‐scale, apparently pleiotropic genomic responses. The extensive sets of MR and GR target genes are highly specific per cell type, and the brain contains many different (neuronal and non‐neuronal) cell types. Next to the set “trait” of cellular context, the “state” of other active signaling pathways will affect MR and GR transcriptional activity. Here, we discuss receptor specificity and contextual factors that determine the transcriptional outcome of MR/GR signaling, experimental possibilities offered by single‐cell transcriptomics approaches, and reflect on how to make sense of lists of target genes in relation to understanding the functional effects of steroid receptor activation.