Beyond Partial Integration: Toward a Cross-Level Organism Framework for Load, Regulation, Adaptation, and Chronicity
Abstract Human Restoration Theory (HRT) proposes that skeletal load-bearing efficiency under gravity is not merely a biomechanical feature, but a systemic regulatory condition influencing muscular recruitment, respiratory mechanics, autonomic regulation, fluid exchange, tissue adaptation, and chronic dysfunction. Existing HRT work has mapped converging evidence (Don, 2026) from mechanotransduction, trabecular adaptation, fascial continuity, anticipatory postural control, autonomic regulation, chronic pain distribution, and developmental biomechanics. This article addresses a different question: whether a comparable unified scientific framework already exists. The paper reviews major integrative candidates - Network Physiology, Allostasis and Active Inference, Ecological Dynamics, Mechanobiology and Mechanotherapy, Biotensegrity, chronic pain models, Evolutionary Medicine, and Degeneracy/Robustness theory - and evaluates their explanatory reach across levels of organization. The central argument is that each framework integrates part of the organism, but none fully links mechanical load, tissue adaptation, motor control, systemic physiology, chronic pain, short- and long-term adaptation, and evolutionary vulnerability within a single causal architecture. HRT is therefore positioned not as a replacement for these frameworks, but as a proposed cross-level organizing synthesis: a framework for asking how conditions become organization, how organization sets biological cost, and how cost shapes functional and pathological outcomes over time. The article concludes by defining what HRT does not claim, proposing testable predictions, and outlining a research program for operationalizing load-bearing, mechanical cost, chronic stabilization, and organism-level reliability.
Authors
- Israel Don
Institutions
- Centro Regional de Derechos Humanos y Justicia de Género, Corporación Humanas (CL)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-07-02
- DOI
- https://doi.org/10.5281/zenodo.21117527
- Primary Topic
- Motor Control and Adaptation
- Type
- preprint