Evidence map›Paper›PMID 31758233›Full record

ReviewCellular and molecular life sciences : CMLS2020

The common message of constraint-based optimization approaches: overflow metabolism is caused by two growth-limiting constraints.

Daan H de Groot, Julia Lischke, Riccardo Muolo, Robert Planqué, Frank J Bruggeman, Bas Teusink

Abstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
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  6. Potent Probiotic YeastACS omega · 2026
    Article
  7. Review
  8. Global constraint principle for microbial growth laws.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. When is microbial cross-feeding evolutionarily stable?bioRxiv : the preprint server for biology · 2025
    Article
  13. Article
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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

6 authors.

Daan H de GrootSystems Bioinformatics, AIMMS, Vrije Universiteit Amsterdam, 1081HZ, Amsterdam, The Netherlands. d.h.de.groot@vu.nl.ORCID http://orcid.org/0000-0001-7070-8950
Julia LischkeSystems Bioinformatics, AIMMS, Vrije Universiteit Amsterdam, 1081HZ, Amsterdam, The Netherlands.
Riccardo MuoloSystems Bioinformatics, AIMMS, Vrije Universiteit Amsterdam, 1081HZ, Amsterdam, The Netherlands.
Robert PlanquéDepartment of Mathematics, Vrije Universiteit Amsterdam, 1081HV, Amsterdam, The Netherlands.
Frank J BruggemanSystems Bioinformatics, AIMMS, Vrije Universiteit Amsterdam, 1081HZ, Amsterdam, The Netherlands.
Bas TeusinkSystems Bioinformatics, AIMMS, Vrije Universiteit Amsterdam, 1081HZ, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Living cells can express different metabolic pathways that support growth. The criteria that determine which pathways are selected in which environment remain unclear. One recurrent selection is overflow metabolism: the simultaneous usage of an ATP-efficient and -inefficient pathway, shown for example in Escherichia coli, Saccharomyces cerevisiae and cancer cells. Many models, based on different assumptions, can reproduce this observation. Therefore, they provide no conclusive evidence which mechanism is causing overflow metabolism. We compare the mathematical structure of these models. Although ranging from flux balance analyses to self-fabricating metabolism and expression models, we can rewrite all models into one standard form. We conclude that all models predict overflow metabolism when two, model-specific, growth-limiting constraints are hit. This is consistent with recent theory. Thus, identifying these two constraints is essential for understanding overflow metabolism. We list all imposed constraints by these models, so that they can hopefully be tested in future experiments.

Indexed as

Adenosine TriphosphateEscherichia coliMetabolic Networks and PathwaysModels, BiologicalSaccharomyces cerevisiaeAdenosine TriphosphateElementary flux modesElementary growth modesGenome-scale modelingGrowth rate maximizationMetabolism and expressionOverflow metabolism

Identifiers

PMID31758233
PMCPMC7010627

What OpenQuestion holds

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LicenceCC BY
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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.