Open mitochondrial research · Plain-language explainer

Published on Zenodo · September 11, 2026

A Mitochondrial Constrained Organ Game Framework for Physiological Metastability: Formulation, Identifiability, and Falsification

Friedl, Andrew

Abstract

This paper formulates a mitochondrial-constrained organ-game framework in which organ subsystems adopt locally regulated strategies, interact through shared resources and signals, and occupy metastable macrostates. Its main contribution is an identification and falsification program linking mitochondrial reserve, threshold geometry, recovery, and regime selection.

DOI: 10.5281/zenodo.22711977

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The paper at a glance

The question

This paper formulates a mitochondrial-constrained organ-game framework in which organ subsystems adopt locally regulated strategies, interact through shared resources and signals, and occupy metastable macrostates. Its main contribution is an identification and falsification program linking mitochondrial reserve, threshold geometry, recovery, and regime selection.

Main takeaway

This paper formulates a mitochondrial-constrained organ-game framework in which organ subsystems adopt locally regulated strategies, interact through shared resources and signals, and occupy metastable macrostates. Its main contribution is an identification and falsification program linking mitochondrial reserve, threshold geometry, recovery, and regime selection.

Important caution

This is a research synthesis, not clinical guidance. The paper describes uncertainty and limits in the underlying evidence.

Why this matters

This paper formulates a mitochondrial-constrained organ-game framework in which organ subsystems adopt locally regulated strategies, interact through shared resources and signals, and occupy metastable macrostates. Its main contribution is an identification and falsification program linking mitochondrial reserve, threshold geometry, recovery, and regime selection.

How the research was done

This paper formulates a mitochondrial-constrained organ-game framework in which organ subsystems adopt locally regulated strategies, interact through shared resources and signals, and occupy metastable macrostates. Its main contribution is an identification and falsification program linking mitochondrial reserve, threshold geometry, recovery, and regime selection.

What the researchers found

This paper formulates a mitochondrial-constrained organ-game framework in which organ subsystems adopt locally regulated strategies, interact through shared resources and signals, and occupy metastable macrostates. Its main contribution is an identification and falsification program linking mitochondrial reserve, threshold geometry, recovery, and regime selection.

What this does not prove

This is a research synthesis, not clinical guidance. The paper describes uncertainty and limits in the underlying evidence.

What researchers should test next

This paper formulates a mitochondrial-constrained organ-game framework in which organ subsystems adopt locally regulated strategies, interact through shared resources and signals, and occupy metastable macrostates. Its main contribution is an identification and falsification program linking mitochondrial reserve, threshold geometry, recovery, and regime selection.

Helpful definitions

Key terms in plain English

MitochondriaStructures inside cells that convert fuel into energy the cell can use.

For non-specialists

What this could mean for patients and families

This research helps organize how scientists think about a mitochondrial constrained organ game framework for physiological metastability: formulation, identifiability, and falsification. This paper formulates a mitochondrial-constrained organ-game framework in which organ subsystems adopt locally regulated strategies, interact through shared resources and signals, and occupy metastable macrostates. Its main contribution is an identification and falsification program linking mitochondrial reserve, threshold geometry, recovery, and regime selection. It does not establish a diagnosis, prove that a treatment works, or tell an individual person what care to pursue.

  • What was directly measured, and what was inferred?
  • Were the findings in people, animals, cells, or a mixture?
  • What result would disprove or narrow the proposed explanation?
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