Determinants of brain cell metabolic phenotypes and energy substrate utilization unraveled with a modeling approach

PLoS Comput Biol. 2012;8(9):e1002686. doi: 10.1371/journal.pcbi.1002686. Epub 2012 Sep 13.

Abstract

Although all brain cells bear in principle a comparable potential in terms of energetics, in reality they exhibit different metabolic profiles. The specific biochemical characteristics explaining such disparities and their relative importance are largely unknown. Using a modeling approach, we show that modifying the kinetic parameters of pyruvate dehydrogenase and mitochondrial NADH shuttling within a realistic interval can yield a striking switch in lactate flux direction. In this context, cells having essentially an oxidative profile exhibit pronounced extracellular lactate uptake and consumption. However, they can be turned into cells with prominent aerobic glycolysis by selectively reducing the aforementioned parameters. In the case of primarily oxidative cells, we also examined the role of glycolysis and lactate transport in providing pyruvate to mitochondria in order to sustain oxidative phosphorylation. The results show that changes in lactate transport capacity and extracellular lactate concentration within the range described experimentally can sustain enhanced oxidative metabolism upon activation. Such a demonstration provides key elements to understand why certain brain cell types constitutively adopt a particular metabolic profile and how specific features can be altered under different physiological and pathological conditions in order to face evolving energy demands.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Brain / metabolism*
  • Computer Simulation
  • Energy Metabolism / physiology*
  • Humans
  • Lactic Acid / metabolism*
  • Models, Neurological*
  • NAD / metabolism*
  • Neurons / metabolism*
  • Pyruvate Dehydrogenase Complex / metabolism*

Substances

  • Pyruvate Dehydrogenase Complex
  • NAD
  • Lactic Acid

Grants and funding

This work was supported by Swiss Fonds National de la Recherche Grant N° 31003A-125063 to LP. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.