Evidence map›Paper›PMID 39025861›Full record

ArticleNPJ systems biology and applications2024

Including glutamine in a resource allocation model of energy metabolism in cancer and yeast cells.

Jan Ewald, Ziyang He, Wassili Dimitriew, Stefan Schuster

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Delayed-Onset Muscle Soreness Begins with a Transient Neural Switch.International journal of molecular sciences · 2025
    Review
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  6. Review
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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

4 authors.

Jan Ewald *Department of Bioinformatics, Friedrich Schiller University of Jena, Ernst-Abbe-Platz 2, 07743, Jena, Germany.ORCID http://orcid.org/0000-0002-9415-2317
Ziyang He *Department of Bioinformatics, Friedrich Schiller University of Jena, Ernst-Abbe-Platz 2, 07743, Jena, Germany.
Wassili DimitriewDepartment of Bioinformatics, Friedrich Schiller University of Jena, Ernst-Abbe-Platz 2, 07743, Jena, Germany.ORCID http://orcid.org/0009-0003-0499-7485
Stefan SchusterDepartment of Bioinformatics, Friedrich Schiller University of Jena, Ernst-Abbe-Platz 2, 07743, Jena, Germany. stefan.schu@uni-jena.de.ORCID http://orcid.org/0000-0003-2828-9355

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) ScaDS.AIDeutsche Forschungsgemeinschaft (German Research Foundation) 210879364
6 · The paper itself

Abstract

Energy metabolism is crucial for all living cells, especially during fast growth or stress scenarios. Many cancer and activated immune cells (Warburg effect) or yeasts (Crabtree effect) mostly rely on aerobic glucose fermentation leading to lactate or ethanol, respectively, to generate ATP. In recent years, several mathematical models have been proposed to explain the Warburg effect on theoretical grounds. Besides glucose, glutamine is a very important substrate for eukaryotic cells-not only for biosynthesis, but also for energy metabolism. Here, we present a minimal constraint-based stoichiometric model for explaining both the classical Warburg effect and the experimentally observed respirofermentation of glutamine (WarburQ effect). We consider glucose and glutamine respiration as well as the respective fermentation pathways. Our resource allocation model calculates the ATP production rate, taking into account enzyme masses and, therefore, pathway costs. While our calculation predicts glucose fermentation to be a superior energy-generating pathway in human cells, different enzyme characteristics in yeasts reduce this advantage, in some cases to such an extent that glucose respiration is preferred. The latter is observed for the fungal pathogen Candida albicans, which is a known Crabtree-negative yeast. Further, optimization results show that glutamine is a valuable energy source and important substrate under glucose limitation, in addition to its role as a carbon and nitrogen source of biomass in eukaryotic cells. In conclusion, our model provides insights that glutamine is an underestimated fuel for eukaryotic cells during fast growth and infection scenarios and explains well the observed parallel respirofermentation of glucose and glutamine in several cell types.

Indexed as

Energy MetabolismFermentationGlucoseGlutamineModels, BiologicalNeoplasmsAdenosine TriphosphateCandida albicansHumansSaccharomyces cerevisiaeAdenosine TriphosphateGlucoseGlutamine

Identifiers

PMID39025861
PMCPMC11258256

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Registered trials

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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.