Reflections on self-regulating and evolving systems

Physiological Systems

Physiological regulation unfolds through temporal inference, spatial alignment, and energetic flow. These systems anticipate, distribute, and adapt.
From circadian rhythms to cellular gradients, coherence emerges as a choreography across time, space, and energy. Regulation seems to be a continuous negotiation between internal dynamics and external demands. It is a dynamic regulation of this regulation that leads to a physiological state and its capacity to reorganize without disintegration.

Living systems maintain coherence through continuous cycles of energy transformation, entropy export, and structural renewal. This article presents a thermodynamically grounded model of biological regulation, structured around five interdependent phases: Dynamic Homeostasis, Disruption, Reaction, Adaptation, and Refined Homeostasis. The mitochondrion, as an intracellular engine lays the foundation of this article. mitochondrion that converts free energy into usable order. Through oxidative phosphorylation, mitochondria generate ATP, the central mediator of entropy balance. ATP hydrolysis powers essential cellular functions while inherently increasing molecular disorder; internal entropy can only be managed through mitochondrial regeneration. Disruption emerges when entropy influx, which is driven by environmental stress or mitochondrial dysfunction, overwhelms the system’s dissipative capacity, triggering containment responses and metabolic reprogramming. Adaptation encodes new structural and energetic strategies, and Refined Homeostasis integrates them into a reorganized functional baseline. By positioning mitochondria as the thermodynamic origin of cellular order, this model reframes biological regulation as an open-system through which energy flows, stress responses, and structural adaptation is managed.

Biological systems persist by resisting entropy through dynamic, phase-specific regulation. AMP-activated protein kinase (AMPK) regulates this process as an energy sensor as well as a thermodynamic integrator that governs cellular adaptation through cycles of ATP / ADP. This article proposes a five-phase model of dynamic regulation, Dynamic Homeostasis, Disruption, Reaction, Adaptation, and Refined Homeostasis, in which AMPK modells transitions between metabolic states. Through its modular subunit architecture and localization to both lysosomal and mitochondrial compartments, AMPK coordinates energy preservation, structural reorganization, redox buffering, and entropy export. By regulating autophagy, mitochondrial biogenesis, and ATP-consuming systems like the Na⁺/K⁺-ATPase, AMPK enables cells to recover from disorder and establish new attractor states of enhanced stability. This framework redefines AMPK as a molecular embodiment of adaptive intelligence, capable of transforming chaos into sustained order.

CELLULAR LEVEL

Dynamic Regulation of Ion Gradients

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Cells maintain internal order through continuous, energy-dependent regulation of ion gradients and membrane potentials. This article examines the Na⁺/K⁺-ATPase as a core mechanism that resists entropic drift and preserves cellular coherence. Beyond its classical role in maintaining excitability, the pump embodies a broader principle: biological systems stabilize not by fixing variables, but by perpetually adjusting them in relation to shifting energetic and spatial demands. I explore how its function deteriorates under metabolic stress, how compensatory pathways emerge, and how these adaptive loops are temporally coordinated. By comparing membrane potential setpoints in neurons, cardiomyocytes, and sensory cells, it may uncover how functional identity is inscribed in context-sensitive baselines. The Na⁺/K⁺ pump exemplifies how cells achieve identity through dynamic homeostasis.

Biological systems maintain spatial order not through fixed architectures, but through dynamic, energy-driven regulation. At the cellular level, the cytoskeleton, a coordinated network of microtubules, actin filaments, and motor proteins, functions as a nonequilibrium entropy-dissipating system. Rather than acting as passive scaffolding, the cytoskeleton continuously transforms ATP into spatial coherence: directed transport, mechanical asymmetry, and dynamic compartmentalization. This article reconceptualizes cytoskeletal regulation as a thermodynamic system through five interdependent phases: Dynamic Homeostasis, Disruption, Reaction, Adaptation, and Refined Homeostasis. In the homeostatic phase, spatial order is actively sustained by filament turnover and intracellular transport. During disruption, energetic collapse leads to the breakdown of cytoskeletal integrity and polarity. Reaction mobilizes high-cost containment strategies to delay structural failure. Adaptation restores energy balance and reconstructs a reconfigured spatial architecture. Finally, Refined Homeostasis emerges as a reorganized spatial equilibrium, encoding structural memory of stress history. By framing spatial regulation as a rhythmic cycle between energy use and entropy control, this model offers a thermodynamically grounded understanding of intracellular structure.

Biological metabolism is a dynamic regulatory process that enables cells to persist far from thermodynamic equilibrium. This framework conceptualizes metabolism as a five-phase system of energetic coherence, disruption, emergency buffering, adaptive restructuring, and refined homeostasis. Metabolic Pathways such as glycolysis, oxidative phosphorylation, fatty acid oxidation, and amino acid catabolism are constantly minimizing free energy by updating their system. Through cellular demands and external conditions, the system is constantly seeking a low-entropy state. This is acheived by perception, action which leads to structural reorganization ((Friston, K. J. (2022))). Phase 1 (Dynamic Homeostasis) features high-efficiency oxidative metabolism and robust redox balance. Phase 2 (Disruption) reflects systemic metabolic collapse due to stressors like hypoxia or oxidative damage, leading to elevated entropy and energetic instability. Phase 3 (Reaction) mobilizes emergency responses: glycolytic acceleration, AMPK activation, and antioxidant defenses to temporarily contain disorder. In Phase 4 (Adaptation), mitochondrial recovery, transcriptional reprogramming, and lipid oxidation reestablish stability. Finally, Phase 5 (Refined Homeostasis) integrates these adaptations into a stable yet flexible energetic regime, marked by efficient energy use, metabolic memory, and structural optimization. This phase-based model exemplifies cellular metabolism as a fluid thermodynamic interdependancy, where regulatory coherence sustains life under continuous restructuring.

Cerebral autoregulation is traditionally viewed as a reactive feedback reflex that stabilizes cerebral blood flow (CBF) within a MAP range of 60–150 mmHg. This classical model treats deviations as errors, corrected by myogenic vasoconstriction or dilation to restore a static setpoint, assuming minimal systemic integration.
This article reframes cerebral autoregulation as a dynamic, energy-sensitive process. Rather than restoring constancy, the brain maintains coherence: matching perfusion to neuronal demand, oxygen-glucose delivery, redox tone, and structural integrity. This leads to a new prior state that is formed by its previous cycle. Key mechanisms like myogenic tone, nitric oxide signaling, astrocytic vasomodulation, and CO₂ sensing are integrated components of a predictive, multiscale regulatory network. Autoregulation is reconceptualized across five dynamic phases: Dynamic Homeostasis (MAP 60–150 mmHg): anticipatory, low-cost balance of vascular and metabolic inputs. Disruption: loss of control under pressure extremes, triggering perfusion mismatch. Reaction: high-cost containment via inflammation and oxidative stress. Adaptation: reorganization of glial, vascular, and metabolic systems for survival. Refined Homeostasis: a stable state that has encoded the previous cycle of collapse and restructure.
This article shifts autoregulation from static feedback to active energetic governance. It may offer a scalable model for understanding cerebrovascular failure, neurodegeneration, and adaptive limits of the brain´s resilience.

Gastrointestinal motility has long been seen as a reflex-driven process governed by neural and hormonal controls. However, emerging evidence reframes it as a dynamic, energy-sensitive system shaped by coordinated interactions between the enteric nervous system (ENS), immune signaling, epithelial integrity, and the microbiome.
This article presents a phase-based framework of motility regulation through the phases of dynamic homeostasis, disruption, reaction, adaptation, and refined homeostasis. The aim is to explain functional disorders like IBS and constipation not as isolated dysfunctions, but as transitions between regulatory states.
Each phase reflects shifts in neuroimmune signaling, energy availability, and structural coordination. Disruptions such as infection, stress, or diet trigger immune activation, barrier compromise, and ENS remodeling. Chronic adaptation often results in hypomotility, energy conservation, and altered visceral sensitivity. Recovery leads to a resilient state of predictive, low-cost regulation, where motility and immune tolerance are phase-aligned with circadian, behavioral, and microbial rhythms.
By redefining gut motility as a dynamic systems process rather than a linear failure of control, this model could support more nuanced, phase-specific therapeutic strategies rooted in restoring coherence.

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