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Invariance under Structure Translation as the Origin of Host Immune Capacity Conservation from Noether's Theorem

Yexing Chen, Qingyun Wei, Zhongxiang Dong, Peng Cao

TL;DR

The paper addresses the lack of a predictive, first-principles definition of immune capacity by formulating adaptive immunity as a Lagrangian dynamical system in an immunological state space. A continuous symmetry in antigenic structure space yields a conserved two-component Immune Capacity $\mathbf{I}=(I_{\text{Spatial}},I_{\text{Temporal}})$ via Noether's theorem, linking protection breadth and response intensity to fundamental invariants. It provides testable predictions of degeneracy and symmetry, proposes experimental tests using VLP antigens in mice, and outlines measurement strategies to quantify $\mathbf{I}$ and its components in model organisms and humans. The framework unifies diverse immunological phenomena (memory, tolerance, exhaustion) as topological PES changes and offers a path toward predictive immunology and rational intervention design with vaccine optimization grounded in conservation laws.

Abstract

The capacity to resist pathogens is recognized as a fundamental property of the immune system, yet it remains a phenomenological concept and lacks a defined physical basis, leaving its fundamental entity, definition, and quantification unresolved. Here, we address these questions by introducing a theoretical framework based on Lagrangian analytical mechanics, which recasts immune recognition as a dynamical system in an immunological state space. Generalized coordinates are used to describe the conformational states of immune receptors, and their evolution is governed by Euler-Lagrange equations constructed from the antigen-receptor interaction. Central to our theory is the identification of a continuous symmetry: the action remains invariant under specific translations within the antigenic structure space. From this symmetry, Noether's theorem dictates a conserved quantity, I. We identify this conserved quantity as the physical embodiment of host immunity, a measurable quantity that encapsulates the system's protective capacity, encompassing both its breadth and intensity. This prediction is testable through statistically indistinguishable responses to antigen pairs related by the symmetry transformation. Furthermore, This theoretical model provides a unified framework for understanding key immunological phenomena, including vaccination, immune memory, tolerance, original antigenic sin, and T cell exhaustion. The conserved quantity I comprises a component quantifying protective breadth (with the dimension of action) and a component governing response intensity (with the dimension of energy), is thus established as a fundamental physical entity. This work transforms immune capacity from a phenomenological concept into a quantifiable entity, thereby establishing a foundational framework for predictive immunology and immunological intervention.

Invariance under Structure Translation as the Origin of Host Immune Capacity Conservation from Noether's Theorem

TL;DR

The paper addresses the lack of a predictive, first-principles definition of immune capacity by formulating adaptive immunity as a Lagrangian dynamical system in an immunological state space. A continuous symmetry in antigenic structure space yields a conserved two-component Immune Capacity via Noether's theorem, linking protection breadth and response intensity to fundamental invariants. It provides testable predictions of degeneracy and symmetry, proposes experimental tests using VLP antigens in mice, and outlines measurement strategies to quantify and its components in model organisms and humans. The framework unifies diverse immunological phenomena (memory, tolerance, exhaustion) as topological PES changes and offers a path toward predictive immunology and rational intervention design with vaccine optimization grounded in conservation laws.

Abstract

The capacity to resist pathogens is recognized as a fundamental property of the immune system, yet it remains a phenomenological concept and lacks a defined physical basis, leaving its fundamental entity, definition, and quantification unresolved. Here, we address these questions by introducing a theoretical framework based on Lagrangian analytical mechanics, which recasts immune recognition as a dynamical system in an immunological state space. Generalized coordinates are used to describe the conformational states of immune receptors, and their evolution is governed by Euler-Lagrange equations constructed from the antigen-receptor interaction. Central to our theory is the identification of a continuous symmetry: the action remains invariant under specific translations within the antigenic structure space. From this symmetry, Noether's theorem dictates a conserved quantity, I. We identify this conserved quantity as the physical embodiment of host immunity, a measurable quantity that encapsulates the system's protective capacity, encompassing both its breadth and intensity. This prediction is testable through statistically indistinguishable responses to antigen pairs related by the symmetry transformation. Furthermore, This theoretical model provides a unified framework for understanding key immunological phenomena, including vaccination, immune memory, tolerance, original antigenic sin, and T cell exhaustion. The conserved quantity I comprises a component quantifying protective breadth (with the dimension of action) and a component governing response intensity (with the dimension of energy), is thus established as a fundamental physical entity. This work transforms immune capacity from a phenomenological concept into a quantifiable entity, thereby establishing a foundational framework for predictive immunology and immunological intervention.

Paper Structure

This paper contains 30 sections, 31 equations.