Article

Microbial stimulation of different Toll-like receptor signalling pathways induces diverse metabolic programmes in human monocytes

  • Nature Microbiology 2, Article number: 16246 (2016)
  • doi:10.1038/nmicrobiol.2016.246
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Abstract

Microbial stimuli such as lipopolysaccharide (LPS) induce robust metabolic rewiring in immune cells known as the Warburg effect. It is unknown whether this increase in glycolysis and decrease in oxidative phosphorylation (OXPHOS) is a general characteristic of monocytes that have encountered a pathogen. Using CD14+ monocytes from healthy donors, we demonstrated that most microbial stimuli increased glycolysis, but that only stimulation of Toll-like receptor (TLR) 4 with LPS led to a decrease in OXPHOS. Instead, activation of other TLRs, such as TLR2 activation by Pam3CysSK4 (P3C), increased oxygen consumption and mitochondrial enzyme activity. Transcriptome and metabolome analysis of monocytes stimulated with P3C versus LPS confirmed the divergent metabolic responses between both stimuli, and revealed significant differences in the tricarboxylic acid cycle, OXPHOS and lipid metabolism pathways following stimulation of monocytes with P3C versus LPS. At a functional level, pharmacological inhibition of complex I of the mitochondrial electron transport chain diminished cytokine production and phagocytosis in P3C- but not LPS-stimulated monocytes. Thus, unlike LPS, complex microbial stimuli and the TLR2 ligand P3C induce a specific pattern of metabolic rewiring that involves upregulation of both glycolysis and OXPHOS, which enables activation of host defence mechanisms such as cytokine production and phagocytosis.

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Change history

  • Corrected online 14 July 2017

    In the PDF version of this article previously published, the year of publication provided in the footer of each page and in the 'How to cite' section was erroneously given as 2017, it should have been 2016. This error has now been corrected. The HTML version of the article was not affected.

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Acknowledgements

We would like to thank the laboratory technicians of the muscle laboratory, and in particular B. Stoltenborg, at the Translational Metabolic Laboratory (Department of Laboratory Medicine, Radboud University Nijmegen Medical Centre) and Mietske Wijers-Rouw (Department of Cell Biology, Radboud University Nijmegen Medical Centre) for excellent technical assistance. R.S. was supported by a VIDI grant from the The Netherlands Organisation for Scientific Research (NWO) and an EFSD Rising Star Grant. R.v.C. was supported by The European Union's Seventh Framework Programme (EU FP7) project TANDEM (HEALTH-F3-2012-305279). M.G.N. was supported by an ERC Consolidator Grant (no. 310372) and a Spinoza Award (NWO).

Author information

Author notes

    • Ekta Lachmandas
    • , Lily Boutens
    •  & Jacqueline M. Ratter

    These authors contributed equally to this work.

Affiliations

  1. Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525 GA, Nijmegen, The Netherlands

    • Ekta Lachmandas
    • , Lily Boutens
    • , Jacqueline M. Ratter
    • , Anneke Hijmans
    • , Leo A. B. Joosten
    • , Reinout van Crevel
    • , Mihai G. Netea
    •  & Rinke Stienstra
  2. Nutrition, Metabolism and Genomics Group, Division of Human Nutrition, Wageningen University, 6708 WE, Wageningen, The Netherlands

    • Lily Boutens
    • , Jacqueline M. Ratter
    • , Guido J. Hooiveld
    •  & Rinke Stienstra
  3. Department of Pediatrics, Radboud Center for Mitochondrial Medicine, 774 Translational Metabolic Laboratory, Radboud University Medical Center, 6525 GA, Nijmegen, The Netherlands

    • Richard J. Rodenburg
  4. Department of Cell Biology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, 1105 AZ, Nijmegen, The Netherlands

    • Jack A. M. Fransen
  5. Laboratory Genetic Metabolic Diseases, Academic Medical Center, 1105 AZ, Amsterdam, The Netherlands

    • Riekelt H. Houtkooper

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Contributions

E.L., L.B., J.M.R., A.H. and R.S. conducted most of the experiments and data analysis. G.J.H. performed all data analysis related to the transcriptome and metabolome results. R.J.R. and R.H.H. assisted in the experiments related to assessing mitochondrial function. J.A.M.F. performed the electron microscopy. L.A.B.J., R.H.H., R.v.C. and M.G.N. critically contributed to the design of the study. E.L., L.B., J.M.R., M.G.N. and R.S. wrote the manuscript together.

Competing interests

The authors declare no competing financial interests.

Corresponding authors

Correspondence to Mihai G. Netea or Rinke Stienstra.

Supplementary information

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    Supplementary information

    Supplementary Figures 1–8; Supplementary Table 1