# Selection for Function in Complex Distributed Pathological Systems

## TL;DR

This paper proposes that many diseases persist as complex, interconnected systems rather than isolated issues, suggesting new ways to understand and treat them.

## Contribution

It introduces the concept of 'selection for function' to unify understanding of distributed pathological systems across various diseases.

## Key findings

- Diseases like metastases and autoimmune syndromes can be viewed as evolving systems with local and systemic interactions.
- Systemic feedback loops help pathological networks persist by overcoming host defenses.
- The framework suggests therapies targeting network coherence and systemic biomarkers for better treatment outcomes.

## Abstract

Pathological processes are often conceptualized as localized phenomena anchored in a primary tumor, a focal lesion, or a single organ. However, growing evidence indicates that many diseases persist and progress as complex distributed systems, maintained by interactions among multiple sites. Building on the emerging framework of selection for function, which can be applied to understand the evolutionary persistence of both replicating and non‐replicating entities, we propose that metastases, amyloidoses, fibroses, autoimmune syndromes, granulomatous diseases, and multifocal reproductive disorders can all be understood as complex evolving pathological systems within individuals. In these contexts, local units such as metastatic nodules, amyloid plaques, or fibrotic foci act as semi‐autonomous entities, yet achieve collective persistence through systemic flows, feedback loops, and network‐level interactions, where local structuration gives rise to systemic effects. At certain points, lesions that produce mediators can trigger systemic alterations that, in turn, favor the emergence and persistence of additional lesions. This creates a vicious cycle in which local and systemic dynamics reinforce one another, helping these specific pathological networks to overcome host defense mechanisms and persist (i.e., be ‘selected’ via differential persistence). This perspective unifies seemingly disparate conditions under the principle of system persistence, reframing pathology as an emergent organizational property of a pathological system rather than as isolated local breakdowns of organismal components. It also carries important implications for evolutionary medicine, suggesting a taxonomy of diseases that distinguishes localized from distributed functional pathologies. Clinically, it underscores the need to go beyond focal interventions, advocating instead for therapies that disrupt pathological connectivity, destabilize network coherence, and monitor systemic biomarkers of disease persistence. Recognizing the role of selection for function in the emergence and persistence of complex pathological systems opens new avenues for both theoretical integration and therapeutic innovation in evolutionary medicine.