The Computational Organellopathy: Failure Modes of Cellular Vaults as a Foundational Principle in Chronic and Developmental Pathologies

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Main Author: Mitchell, D. B.
Format: Recurso digital
Published: Zenodo 2025
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author Mitchell, D. B.
author_facet Mitchell, D. B.
contents <p>Metabolic syndrome, cancer, major depression, Parkinson's disease, autism, and osteoporosis are understood as disparate pathologies, for which a unified mechanistic theory has seemed impossible. Here, we advance just such a framework, positing that these conditions represent distinct failure modes of a single, fundamental biological machine: the cellular vault complex. Building on a first-principles model of the vault as a subcellular cognitive system, we introduce a new disease paradigm: the Computational Organellopathy. To validate this paradigm, we synthesize multi-scale evidence from six seemingly disparate case studies, arguing that: (1) Metabolic Syndrome arises from system overload. (2) Cancer executes hardware amplification via quality-control sabotage. (3) Major Depression is linked to hardware fragility. (4) Parkinson's Disease arises from software misregulation. (5) Autism Spectrum Disorder stems from developmental hardware failure. (6) Osteoporosis is driven by age-related hardware degradation. This framework reframes a vast class of human suffering as pathologies of subcellular information processing and reveals an inevitable therapeutic horizon: a new class of Informational Medicine designed not to destroy cellular hardware, but to reprogram the computational logic that governs cellular health.</p>
format Recurso digital
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institution Zenodo
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publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle The Computational Organellopathy: Failure Modes of Cellular Vaults as a Foundational Principle in Chronic and Developmental Pathologies
Mitchell, D. B.
Cellular Vault
Vault RNA (vRNA)
Major Vault Protein (MVP)
Computational Organellopathy
Free Energy Principle (FEP)
Informational Medicine
Inflammation
Metabolic Syndrome
Cancer
Oncology
Depression
Psychiatry
Parkinson Disease
Neurodegenerative Diseases
Autism Spectrum Disorder
Osteoporosis
RNA Biology
Systems Biology
Computational Biology
Molecular Biology
Cell Biology
Biophysics
Theoretical Biology
Quantum Biology
<p>Metabolic syndrome, cancer, major depression, Parkinson's disease, autism, and osteoporosis are understood as disparate pathologies, for which a unified mechanistic theory has seemed impossible. Here, we advance just such a framework, positing that these conditions represent distinct failure modes of a single, fundamental biological machine: the cellular vault complex. Building on a first-principles model of the vault as a subcellular cognitive system, we introduce a new disease paradigm: the Computational Organellopathy. To validate this paradigm, we synthesize multi-scale evidence from six seemingly disparate case studies, arguing that: (1) Metabolic Syndrome arises from system overload. (2) Cancer executes hardware amplification via quality-control sabotage. (3) Major Depression is linked to hardware fragility. (4) Parkinson's Disease arises from software misregulation. (5) Autism Spectrum Disorder stems from developmental hardware failure. (6) Osteoporosis is driven by age-related hardware degradation. This framework reframes a vast class of human suffering as pathologies of subcellular information processing and reveals an inevitable therapeutic horizon: a new class of Informational Medicine designed not to destroy cellular hardware, but to reprogram the computational logic that governs cellular health.</p>
title The Computational Organellopathy: Failure Modes of Cellular Vaults as a Foundational Principle in Chronic and Developmental Pathologies
topic Cellular Vault
Vault RNA (vRNA)
Major Vault Protein (MVP)
Computational Organellopathy
Free Energy Principle (FEP)
Informational Medicine
Inflammation
Metabolic Syndrome
Cancer
Oncology
Depression
Psychiatry
Parkinson Disease
Neurodegenerative Diseases
Autism Spectrum Disorder
Osteoporosis
RNA Biology
Systems Biology
Computational Biology
Molecular Biology
Cell Biology
Biophysics
Theoretical Biology
Quantum Biology
url https://doi.org/10.5281/zenodo.16943474