Evidence map›Paper›PMID 42890234›Full record

ArticleFrontiers in systems biology2026

Coherence, transformation, and breakdown in living systems: part I - the common higher-order regulatory architecture (CHORA) hypothesis.

Andreas Nicolaides

Abstract read
In one paragraph

Article in Frontiers in systems biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

1 author.

Andreas NicolaidesIndependent Researcher, Harrogate, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coherence of living systems extends beyond the lifespan of the individual organism: it persists across biological lineages, through the turnover of organisms and change across deep evolutionary time. This paper terms this phenomenon evolutionary coherence, the lineage-scale expression of a more general property, biological coherence, whose organism-scale expression systems biology has characterised while its evolutionary counterpart has not. Biological coherence is analysed through four aspects - stability, transformation, connectivity, and coordination - each expressed at both the lineage and the organism scale. Their lineage-level manifestations appear in familiar but unreconciled patterns: persistent morphologies, punctuated transformation, structured hybridisation, and the channelled forms evolutionary change repeatedly takes. At the organism scale the same aspects govern the maintenance of organised function and its breakdown, including the convergence of distinct systemic diseases on shared signatures of regulatory dysfunction. Such patterns are not readily accommodated by the foundational ideas of evolutionary biology and biomedicine, which engage auxiliary hypotheses to account for them; some point toward higher-order organisation but stop short of articulating it as primary. Proceeding by abductive inference, the paper specifies the requirements a unifying account must meet, then surveys the molecular evidence and develops a systems model of their operation. The architectures examined are hierarchical gene regulatory networks, bow-tie physiological regulation, germline regulatory systems, the regulation of repetitive DNA, and centromere identity. The framework is articulated as the CHORA Hypothesis: that a Common Higher-Order Regulatory Architecture, common to the organism and the lineage, operates as an integrated level across organisms and generations; that the germline is its principal conduit; that the features sustaining coherence also underlie its failure; and that its disruption at the organism level underlies these convergent signatures of dysfunction. The architecture is not a further agency but the largely conserved higher-order organisation realised by established molecular processes - transposable-element activity foremost among them - and through which coherence is sustained. These processes are its molecular signatures; the architecture's own nature is left open. Health and entrenched disease are, on this account, alternative regimes of the one architecture. Part II develops the discriminating predictions and systemic-health implications.

Indexed as

CHORA hypothesisentrenchmentevolutionary coherencegermline regulatory systemshigher-order regulatory architecturesystemic diseasesystems biologytransposable elements

Identifiers

PMID42890234
PMCPMC13672601

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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.