Scientific article

Comprehensive Examination of the Mouse Lung Metabolome Following Mycobacterium tuberculosis Infection Using a Multiplatform Mass Spectrometry Approach

Published inJournal of Proteome Research, vol. 19, no. 5, p. 2053-2070
Publication date2020

The mechanisms whereby Mycobacterium tuberculosis (Mtb) rewires the host metabolism in vivo are surprisingly unexplored. Here, we used three high-resolution mass spectrometry platforms to track altered lung metabolic changes associated with Mtb infection of mice. The multiplatform data sets were merged using consensus orthogonal partial least squares-discriminant analysis (cOPLS-DA), an algorithm that allows for the joint interpretation of the results from a single multivariate analysis. We show that Mtb infection triggers a temporal and progressive catabolic state to satisfy the continuously changing energy demand to control infection. This causes dysregulation of metabolic and oxido-reductive pathways culminating in Mtb-associated wasting. Notably, high abundances of trimethylamine-N-oxide (TMAO), produced by the host from the bacterial metabolite trimethylamine upon infection, suggest that Mtb could exploit TMAO as an electron acceptor under anaerobic conditions. Overall, these new pathway alterations advance our understanding of the link between Mtb pathogenesis and metabolic dysregulation and could serve as a foundation for new therapeutic intervention strategies. Mass spectrometry data has been deposited in the Metabolomics Workbench repository (data-set identifier: ST001328).

  • Tuberculosis
  • Metabolomics
  • Pulmonary tuberculosis
  • Tuberculosis progression
  • Functional metabolomics
  • Multiplatform metabolomics
  • Data fusion
Citation (ISO format)
FERNÁNDEZ-GARCÍA, Miguel et al. Comprehensive Examination of the Mouse Lung Metabolome Following <i>Mycobacterium tuberculosis</i> Infection Using a Multiplatform Mass Spectrometry Approach. In: Journal of Proteome Research, 2020, vol. 19, n° 5, p. 2053–2070. doi: 10.1021/acs.jproteome.9b00868
Main files (1)
Article (Published version)
ISSN of the journal1535-3893

Technical informations

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