Profiling of FSHR Negative Allosteric Modulators on LH/CGR Reveals Biased Antagonism with Implications in Steroidogenesis
Abstract
Biased signaling has recently emerged as an interesting mean to modulate the function of many G protein-coupled receptors (GPCRs). Previous studies reported two negative allosteric modulators (NAMs) of follicle-stimulating hormone receptor (FSHR), ADX68692 and ADX68693, with differential effects on FSHR-mediated steroidogenesis and ovulation. In this study, we attempted to pharmacologically profile these NAMs on the closely related luteinizing/chorionic gonadotropin hormone receptor (LH/CGR) with regards to its canonical Gs/cAMP pathway as well as \beta-arrestin recruitment in HEK293 cells. The NAMs effects on progesterone and testosterone production were also assessed in murine Leydig tumor cell line (mLTC-1). We found that both NAMs strongly antagonized LH/CGR signaling in both HEK293 and mLTC-1 cells. ADX68693 appeared more potent than ADX68692 to inhibit hCG-induced cAMP and \beta-arrestin 2 in HEK293 and mLTC-1 cells whereas no significant difference in their efficacy on hCG-promoted \beta-arrestin 2 recruitment. Interestingly, differential antagonism of the two NAMs on hCG-promoted steroidogenesis in mLTC-1 cells was observed with significant inhibition of testosterone but not progesterone production. These observations suggest biased effects of the two NAMs on LH/CGR-dependent pathways controlling steroidogenesis, which appeared to be different to that previously shown on FSHR. This also illustrates the complexity of signaling pathways controlling FSHR- and LH/CGR-mediated steroidogenesis, suggesting differential implication of cAMP and \beta-arrestins. Together, our data demonstrate that ADX68692 and ADX68693 are NAMs at the LH/CGR in addition to FSHR. These pharmacological characteristics are important to consider for potential contraceptive and therapeutic applications based on such compounds.
- Publication:
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arXiv e-prints
- Pub Date:
- August 2018
- DOI:
- 10.48550/arXiv.1808.00310
- arXiv:
- arXiv:1808.00310
- Bibcode:
- 2018arXiv180800310A
- Keywords:
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- Quantitative Biology - Molecular Networks;
- Quantitative Biology - Tissues and Organs
- E-Print:
- Molecular and Cellular Endocrinology, 436:10--22 (2016)