Contractile activity activates redundant signaling pathways toward TFEB and TFE3 transcription in skeletal muscle cells to initiate lysosome biogenesis
Notice bibliographique
Résumé
Mitophagy is the cellular process that degrades mitochondria when these organelles become dysfunctional, exhibited by increases in reactive oxygen species (ROS) production, and reduced oxidative phosphorylation. The terminal step of mitophagy is mediated by the lysosome which functions to degrade defective cellular cargo. In skeletal muscle, contractile activity and/or exercise activate mitophagy, and repeated bouts of exercise produce increases in the levels of lysosomal proteins, suggestive of augmented organelle biogenesis. The signaling cascades which lead to the transcriptional activation of genes encoding lysosomal proteins likely begin with as little as a single bout of exercise, termed acute contractile activity (ACA). However, the nature of these signals remains unresolved. In this study, we evaluated three known signaling pathways which modify gene expression in muscle, namely intracellular calcium levels, ROS production, and AMPK activation. To investigate this, we pre-treated C2C12 myotubes with inhibitors known to target these pathways, then subjected these cells to a single bout of electrical pulse stimulation for 3 hours to represent ACA. We then measured changes in promoter activity and mRNA levels of the transcription factors TFEB and TFE3, widely recognized as master regulators of lysosomal biogenesis. Some myotubes were also subjected to ACA and allowed to recover for 24 hours to assess the transient nature of the signaling pathways. The inhibition of calcium, ROS, or AMPK was induced by 100 μM BAPTA-AM, 20 mM N-acetylcysteine (NAC), or 40 μM Compound C (CC), respectively. Changes in promoter activity were captured via dual-luciferase promoter-reporter assay while mRNA changes were assessed using qPCR. ACA increased the transcription of both TFEB and TFE3 by 1.6-2.0-fold, with corresponding changes in mRNA levels. However, TFEB and TFE3 promoter activities were differentially affected by pathway inhibition in both quiescent cells, and in response to ACA and recovery. TFEB transcription was reduced by 40-65% by all 3 treatments in non-contracting myotubes, whereas no effect was observed for TFE3 promoter activity. However, these treatments completely abolished TFE3 transcriptional activation in response to ACA, whereas TFEB transcription remained unaffected by ROS inhibition, and was reduced by calcium and AMPK inhibition only. TFEB transcription was also reduced to basal levels during recovery, whereas TFE3 promoter activity remained elevated, even 24 hours later. These observations suggest that all three pathways are active in maintaining the level of TFEB, but not TFE3, in quiescent cells. Changes in intracellular calcium as well as AMPK activation are the most important signaling pathways for the coordinated transcriptional activation of both TFEB and TFE3 in response to ACA. These data reveal the nature of the redundant signaling pathways induced by contractile activity that lead to the transcription and expression of both TFEB and TFE3 that ultimately lead to lysosomal adaptations in muscle responding to exercise. This research is supported by NSERC. This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.
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Comment cette classification a été obtenuedéplier
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 | 0,000 | 0,000 |
| 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 ».