Metabolic Overdrive in Elite Sport: A Systems Model of AMPK–mTOR Oscillation, NAD+ Economy, and Epigenetic Drift

Exercise adaptation depends on a dynamic alternation between catabolic and anabolic states coordinated primarily by AMP-activated protein kinase (AMPK) and mechanistic target of rapamycin (mTOR). While transient activation of these pathways underpins beneficial molecular remodeling, the system-level consequences of sustained anabolic drive remain insufficiently conceptualized in exercise biology. This article presents a conceptual mechanistic narrative review integrating evidence from molecular nutrition, exercise physiology, redox biology, and epigenetic regulation to define limits of adaptive signaling. We propose the <i>Metabolic Overdrive Model</i>, a systems-level framework describing the transition from adaptive AMPK-mTOR oscillation to a high-anabolic lock-in state characterized by persistent mTORC1 activation, suppressed AMPK signaling, altered NAD<sup>+</sup> economy (SIRT1-PARP imbalance), redox dysregulation, and progressive epigenetic drift. Using exercise and training as models of sustained metabolic stress, we synthesize mechanistic parallels across energy sensing, oxidative signaling, and chromatin regulation without implying pathological causality. The framework generates testable predictions linking prolonged post-exercise anabolic signaling (>24 h) to specific molecular signatures, including AMPK phosphorylation status, NAD<sup>+</sup> availability, PARylation, histone acetylation, and DNA methylation dynamics. By reframing exercise adaptation as a loss-of-oscillation phenomenon rather than a linear continuum, this model provides a mechanistic language for hypothesis generation, biomarker-guided periodization, and future experimental validation.

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Journal
International Journal of Molecular Sciences
Published
2026-02-13
DOI
https://doi.org/10.3390/ijms27041817
Primary Topic
Metabolism, Diabetes, and Cancer
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article
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article

Metabolic Overdrive in Elite Sport: A Systems Model of AMPK–mTOR Oscillation, NAD+ Economy, and Epigenetic Drift

Ancuta Pîrvan, Camelia Daniela Plastoi, Dan Cristian Mănescu, Razvan Liviu Petre et al.
International Journal of Molecular Sciences
Metabolism, Diabetes, and Cancer
article

Metabolic Overdrive in Elite Sport: A Systems Model of AMPK–mTOR Oscillation, NAD+ Economy, and Epigenetic Drift

Ancuta Pîrvan, Camelia Daniela Plastoi, Dan Cristian Mănescu, Razvan Liviu Petre, Iulius Radulian Mărgărit, Andreea Maria Mănescu
article en

Abstract

Exercise adaptation depends on a dynamic alternation between catabolic and anabolic states coordinated primarily by AMP-activated protein kinase (AMPK) and mechanistic target of rapamycin (mTOR). While transient activation of these pathways underpins beneficial molecular remodeling, the system-level consequences of sustained anabolic drive remain insufficiently conceptualized in exercise biology. This article presents a conceptual mechanistic narrative review integrating evidence from molecular nutrition, exercise physiology, redox biology, and epigenetic regulation to define limits of adaptive signaling. We propose the <i>Metabolic Overdrive Model</i>, a systems-level framework describing the transition from adaptive AMPK-mTOR oscillation to a high-anabolic lock-in state characterized by persistent mTORC1 activation, suppressed AMPK signaling, altered NAD<sup>+</sup> economy (SIRT1-PARP imbalance), redox dysregulation, and progressive epigenetic drift. Using exercise and training as models of sustained metabolic stress, we synthesize mechanistic parallels across energy sensing, oxidative signaling, and chromatin regulation without implying pathological causality. The framework generates testable predictions linking prolonged post-exercise anabolic signaling (>24 h) to specific molecular signatures, including AMPK phosphorylation status, NAD<sup>+</sup> availability, PARylation, histone acetylation, and DNA methylation dynamics. By reframing exercise adaptation as a loss-of-oscillation phenomenon rather than a linear continuum, this model provides a mechanistic language for hypothesis generation, biomarker-guided periodization, and future experimental validation.

International Journal of Molecular SciencesVol. 27(4)
Constantin Brâncuși University of Targu Jiu (RO), Valahia University of Targoviste (RO), Universitatea Națională de Educație Fizică și Sport București (RO), Bucharest University of Economic Studies (RO)
Openalex Percentile: Top 57%
Metabolism, Diabetes, and Cancer
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