TNA in Immune Systems: Throughput, Incoherence, and the Mechanics of Immunological Stability

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Authors: Claudio Bresciano
Cited by: 0

Abstract

The immune system is traditionally modeled as a network of innate and adaptive responses regulated by pathogen recognition, cytokine signaling, and feedback loops. This paper proposes a TNA-based framework, viewing immunity as an open non-equilibrium system where immune coherence requires continuous throughput (Ψ) to discharge incoming incoherence (G). When G exceeds Ψ, accumulated incoherence (ℵ) manifests as chronic inflammation, autoimmunity, or impaired pathogen clearance. Phenomena such as chronic infections, autoimmune disease, and immunosenescence can be reframed as throughput saturation rather than primary cellular defects. The model is falsifiable, predictive, and integrates mechanistic, lifestyle, and clinical data, providing a unified framework for immune stability and failure.

Fields of Study & Subjects

Vagus Nerve Stimulation Research Molecular Communication and Nanonetworks vaccines and immunoinformatics approaches

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 January 2026
Language
EN