Evidence map›Paper›PMID 41640798›Full record

ArticleEvolutionary applications2026

Selection for Function in Complex Distributed Pathological Systems.

Frédéric Thomas, Antoine M Dujon, Daniel Vaiman, Gerard Eberl, Catherine Alix-Panabières, Pascal Pujol, Beata Ujvari, Jordan Meliani, Aurora M Nedelcu, Jean-Pascal Capp

Abstract read
In one paragraph

Article in Evolutionary applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Frédéric ThomasCREEC/CANECEV, MIVEGEC (CREES) Department University of Montpellier, CNRS, IRD Montpellier France.ORCID https://orcid.org/0000-0003-2238-1978
Antoine M DujonCREEC/CANECEV, MIVEGEC (CREES) Department University of Montpellier, CNRS, IRD Montpellier France.ORCID https://orcid.org/0000-0002-1579-9156
Daniel VaimanInstitut Cochin, U1016, INSERM, UMR8104 CNRS, Université de Paris Paris France.ORCID https://orcid.org/0000-0002-1915-0717
Gerard EberlMicroenvironment & Immunity Unit, Institut Pasteur Paris France.ORCID https://orcid.org/0000-0002-1119-5638
Catherine Alix-PanabièresCREEC/CANECEV, MIVEGEC (CREES) Department University of Montpellier, CNRS, IRD Montpellier France.ORCID https://orcid.org/0000-0002-6401-2903
Pascal PujolOncogenetic Department University Medical Centre of Montpellier Montpellier France.ORCID https://orcid.org/0000-0001-8315-4715
Beata UjvariSchool of Life and Environmental Sciences, Deakin University Waurn Ponds Victoria Australia.ORCID https://orcid.org/0000-0003-2391-2988
Jordan MelianiCREEC/CANECEV, MIVEGEC (CREES) Department University of Montpellier, CNRS, IRD Montpellier France.ORCID https://orcid.org/0009-0008-8517-8727
Aurora M NedelcuDepartment of Biology University of New Brunswick Fredericton New Brunswick Canada.ORCID https://orcid.org/0000-0002-7517-2419
Jean-Pascal CappToulouse Biotechnology Institute, University of Toulouse, INSA, CNRS, INRAE Toulouse France.ORCID https://orcid.org/0000-0002-6470-079X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID41640798
PMCPMC12864008

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.