Selection for Function in Complex Distributed Pathological Systems

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.

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Publication Details

Journal
Evolutionary Applications
Published
2026-02-01
DOI
https://doi.org/10.1111/eva.70202
Primary Topic
Amyloidosis: Diagnosis, Treatment, Outcomes
Type
article
Field-Weighted Citation Impact
0.00

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article

Selection for Function in Complex Distributed Pathological Systems

Antoine Marie Dujon, Aurora M. Nedelcu, Jordan Meliani, Pascal Pujol et al.
Evolutionary Applications
Amyloidosis: Diagnosis, Treatment, Outcomes
article

Selection for Function in Complex Distributed Pathological Systems

Antoine Marie Dujon, Aurora M. Nedelcu, Jordan Meliani, Pascal Pujol, Gerard Eberl, Catherine Alix‐Panabières, Frédéric Thomas, Daniel Vaiman, Jean‐Pascal Capp
article en

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.

Evolutionary ApplicationsVol. 19(2)
University of New Brunswick (CA), Centre National de la Recherche Scientifique (FR), Deakin University (AU), Inserm (FR), Institut Pasteur (FR), Institut National des Sciences Appliquées de Toulouse (FR), Maladies Infectieuses et Vecteurs: Écologie, Génétique, Évolution et Contrôle (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Toulouse Mathematics Institute (FR), Institut Cochin (FR), Services déconcentrés d'appui à la recherche Occitanie-Montpellier (FR), Institut de Recherche pour le Développement (FR)
Agence Nationale de la Recherche, Centre National de la Recherche Scientifique
Industry, innovation and infrastructure
Openalex Percentile: Top 70%
Amyloidosis: Diagnosis, Treatment, Outcomes
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