ArticlePloS one2024
Oscillatory autophagy induction is enabled by an updated AMPK-ULK1 regulatory wiring.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Electroacupuncture Ameliorates Depressive-Like Behaviors by Enhancing Autophagy to Attenuate Hippocampal Neuroinflammation via the VEGF/AKT1/ERK Pathway in CUMS Rats.Neurochemical research · 2026Article
- Metabolic Overdrive in Elite Sport: A Systems Model of AMPK-mTOR Oscillation, NADInternational journal of molecular sciences · 2026Review
- The therapeutic potential of botanicals: how medicinal plants targeting autophagy can reverse metabolic-associated fatty liver disease.Frontiers in pharmacology · 2026Review
- Review
- Exploiting autophagy and related pathways: pioneering new horizons in cataract therapy.Apoptosis : an international journal on programmed cell death · 2025Review
- Oleuropein Aglycone Modulates Oxidative Stress and Autophagy-Related Pathways in Human Skeletal Muscle Cells.BioFactors (Oxford, England)Article
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Authors and funding
4 authors.
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Abstract
Autophagy-dependent survival relies on a crucial oscillatory response during cellular stress. Although oscillatory behaviour is typically associated with processes like the cell cycle or circadian rhythm, emerging experimental and theoretical evidence suggests that such periodic dynamics may explain conflicting experimental results in autophagy research. In this study, we demonstrate that oscillatory behaviour in the regulation of the non-selective, stress-induced macroautophagy arises from a series of interlinked negative and positive feedback loops within the mTORC1-AMPK-ULK1 regulatory triangle. While many of these interactions have been known for decades, recent discoveries have revealed how mTORC1, AMPK, and ULK1 are truly interconnected. Although these new findings initially appeared contradictory to established models, additional experiments and our systems biology analysis clarify the updated regulatory structure. Through computational modelling of the autophagy oscillatory response, we show how this regulatory network governs autophagy induction. Our results not only reconcile previous conflicting experimental observations but also offer insights for refining autophagy regulation and advancing understanding of its mechanisms of action.
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