Evidence map›Paper›PMID 42853482›Full record

ReviewBioEssays : news and reviews in molecular, cellular and developmental biology2026

Metabolic Structure: A Paradigm Revisited in Light of the Fundamental Parameters of Living Systems.

Jacques Fantini

Abstract readReview
In one paragraph

Review in BioEssays : news and reviews in molecular, cellular and developmental 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.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Jacques FantiniAix-Marseille Université (AMU), IHU Méditerranée Infection, Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France.ORCID https://orcid.org/0000-0001-8653-5521

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of 'metabolic structure', which considers metabolism as a stable, genetically encoded architecture with enzymes occupying fixed control positions, is indispensable but incomplete, and it obscures metabolism's true nature. I propose redefining metabolism as a dynamic field of emergent biochemical fluxes, governed by six fundamental parameters: time, water, entropy, quantum effects, space, and electrostatic potential, shaping the thermodynamic trajectories of living matter. Metabolic control analysis already supports this view: flux control coefficients are state- and time-dependent coordinates within a thermodynamic field, not intrinsic enzyme properties. This perspective manifests across scales: electrostatics govern fructose 1,6-bisphosphate cleavage in aldolase; hepatic zonation shows spatial reorganization through a single parameter; glucose deprivation quantitatively redirects intestinal cancer cell metabolism from glycolytic to oxidative flux, driving differentiation into an enterocyte-like state; post-meal walking redirects glucose flux from storage to oxidation without pharmacological intervention; inherited metabolic diseases can sometimes be managed without correcting the causal mutation. These examples converge into a new framework: metabolism possesses not only a sophisticated architecture but also states that shape its fluxes. And states, unlike static structures, can be reconfigured.

Indexed as

MetabolismModels, BiologicalAnimalsFructose-Bisphosphate AldolaseGlucoseGlycolysisHumansStatic ElectricityThermodynamicsFructose-Bisphosphate AldolaseGlucoseelectrostatic potentialemergent propertiesflux control coefficientsfundamental biological parametershepatic zonationinherited metabolic diseaseslipid raftsmetabolic control analysisWarburg effect

Identifiers

PMID42853482
PMCPMC13651936

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.