Activation of AMPK Actively Represses Steroid Hormone Synthesis in MA-10 Leydig Cells.
Notice bibliographique
Résumé
Steroid hormones are required for several physiological processes and inadequate steroid hormone levels are associated with various pathological conditions. Thus, steroid hormone synthesis must be tightly regulated. In testosterone-producing Leydig cells, steroidogenesis is strongly stimulated by LH that acts through a G protein-coupled receptor leading to increased cAMP production from ATP. In Leydig cells, LH/cAMP increase expression of the steroidogenic acute regulatory (STAR) protein, which is essential for the initiation of steroidogenesis. The cAMP pathway activates de novo production of the NUR77 transcription factor, which contributes to increased Star expression and androgen production. When proper testosterone levels are reached, Leydig cell steroidogenesis must return to basal levels to prevent excess testosterone production. This is achieved by the negative feedback loop where testosterone acts on the pituitary to suppress LH production. Without LH, Leydig cell steroidogenesis is passively decreased and this is accompanied by the rapid degradation of cAMP into AMP by phosphodiesterases (PDE). Inhibition of PDEs was recently shown to increase Star expression and testosterone production in primary mouse Leydig cells and in the MA-10 Leydig cell line. In other tissues, high AMP levels activate the AMP-activated protein kinase (AMPK), which acts a cellular energy sensor and downregulates ATP-consuming processes. Since AMP levels are dramatically increased in Leydig cells following cAMP degradation, we hypothesized that AMP could actively repress steroidogenesis by activating AMPK. Using Western blot and PCR, we detected AMPK in MA-10 Leydig cells. We next assessed progesterone levels in MA-10 Leydig cells following activation of AMPK by AICAR, an AMP analog and AMPK agonist. In the presence of AICAR, forskolin (FSK)-induced progesterone synthesis was reduced by 50%. Basal progesterone production was not affected by AICAR. To identify genes targeted by AMPK, a microarray analysis was performed using mRNA from MA-10 Leydig cells treated or not with FSK in the presence or absence of AICAR. Activation of AMPK by AICAR inhibited expression of several genes including transcription factors involved in hormone-stimulated steroidogenesis (NUR77 and cJUN) and proteins involved in cholesterol shuttling from extracellular environment to the cytoplasm (Scavenger receptor B1) and from the cytoplasm to the mitochondria (STAR). These results were validated by qPCR. FSK-induced Star promoter activity was also repressed by 60% as determined by transient transfections in MA-10 Leydig cells. Since NUR77 and cJUN contribute to cAMP-induced Star expression, we tested whether AMPK could repress Star transcription by modulating the expression/activity of these transcription factors. Mutations of the NUR77 or AP1 elements in the Star promoter partially relieved AMPK repressive effects. Additionally, overexpression of either NUR77 or cJUN rescued the AMPK repressive effects on the Star promoter. Activation of AMPK also impaired steroidogenesis in the adrenal cell line Y-1 by repressing NUR77 and STAR expression. Altogether our data identify AMPK as an active repressor of steroid hormone biosynthesis in both Leydig and adrenal cells. AMPK thus acts to preserve cellular energy and prevent excess steroid production. Supported by CIHR and NSERC.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».