ReviewInternational journal of molecular sciences2026
Sleep-Gated Adaptation: A Conceptual Framework Linking Exercise-Induced Adaptive Consolidation to Interindividual Variability in Training Response.
Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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3 authors.
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Abstract
Exercise-induced molecular signaling is transient, resolving within hours, whereas the structural and functional adaptations to repeated training develop over weeks to months. The processes that convert signaling into durable adaptation, the conditions that best support this conversion, and the sources of interindividual variability in training outcomes have largely been studied separately. This review proposes a conceptual framework for integrating these approaches. Adaptive Consolidation is introduced as an organizing concept for this intermediate transition, synthesized as a multi-filter cascade spanning post-translational modification, transcription, protein turnover, chromatin remodeling, immune-cell reprogramming, and autonomic remodeling. Sleep-Gated Adaptation (SGA) is proposed as a physiological gate for this transition; evidence indicates that sleep dependence is domain-conditional rather than uniform, strongest for protein-synthetic and motor-memory domains, and detectable in immune and autonomic domains only under specific combinations of exercise damage, sleep-loss severity, and readout timing. Adaptive Consolidation Efficiency (ACE) is proposed as an organizing label for individual-specific determinants-genetic, epigenetic, baseline-biological, environmental, and prescription-related-that jointly explain variability in training response. Neither the SGA nor the ACE is proposed as an established mechanism, validated biomarker, or quantitative index; both are conceptual constructs integrating heterogeneous but convergent evidence. The framework was translated into seven falsifiable predictions, a biomarker panel of validated readouts, and minimum design requirements, including falsification criteria, for future testing.
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