Mathematical models for explaining the Warburg effect: A review focussed on ATP and biomass production

Stefan Schuster, Daniel Boley, Philip Möller, Heiko Stark, Christoph Kaleta

Research output: Contribution to journalReview articlepeer-review

33 Scopus citations

Abstract

For producing ATP, tumour cells rely on glycolysis leading to lactate to about the same extent as on respiration. Thus, the ATP synthesis flux from glycolysis is considerably higher than in the corresponding healthy cells. This is known as the Warburg effect (named after German biochemist Otto H. Warburg) and also applies to striated muscle cells, activated lymphocytes,microglia, endothelial cells and several other cell types. For similar phenomena in several yeasts and many bacteria, the terms Crabtree effect and overflow metabolism respectively, are used. The Warburg effect is paradoxical at first sight because the molar ATP yield of glycolysis is much lower than that of respiration. Although a straightforward explanation is that glycolysis allows a higher ATP production rate, the question arises why cells do not re-Allocate protein to the high-yield pathway of respiration. Mathematical modelling can help explain this phenomenon. Here, we review several models at various scales proposed in the literature for explaining the Warburg effect. These models support the hypothesis that glycolysis allows for a higher proliferation rate due to increased ATP production and precursor supply rates.

Original languageEnglish (US)
Pages (from-to)1187-1194
Number of pages8
JournalBiochemical Society transactions
Volume43
DOIs
StatePublished - Dec 1 2015

Keywords

  • Cancer Metabolism
  • Metabolic Modelling
  • Rate Vs Yield
  • Respirofermentation
  • Warburg Effect

Fingerprint Dive into the research topics of 'Mathematical models for explaining the Warburg effect: A review focussed on ATP and biomass production'. Together they form a unique fingerprint.

Cite this