bioRxivImmunologyPreprint
In macrophages fatty acid oxidation spares glutamate for use in diverse metabolic pathways required for alternative activation
N. van Teijlingen Bakker, L. Flachsmann, G. E. Carrizo, D. E. Sanin, S. Lawless, A. Castoldi, L. Monteiro, A. M. Kabat, M. Matsushita, F. Haessler, A. Patterson, R. Klein Geltink, D. O'Sullivan, E. L. Pearce, E. J. Pearce
Abstract
Fatty acid oxidation (FAO) is upregulated in IL-4-stimulated (alternatively activated) macrophages (M(IL-4)). We examined the effect of loss of function of the enzyme Cpt1a, which facilitates the entry of long chain fatty acids (FA) into mitochondria for FAO, on alternative activation. Expression of M(IL-4) markers ARG1, CD301 and RELM, was impaired in tamoxifen-treated ERT2Cre x Cpt1afl/fl macrophages and in macrophages expressing shRNA targeting Cpt1a (Cpt1a-shRNA). In contrast, VaviCre x Cpt1afl/fl and LysmCre x Cpt1afl/fl M(IL-4) responded normally to IL-4. Reduced alternative activation due to Cpt1a loss of function was linked to decreased cellular pools of -ketoglutarate, glutamate, and glutathione, diminished commitment of glucose carbon to serine/glycine synthesis, and decreased expression of genes in the Nrf2-oxidative stress response pathway. Consistent with this, reactive oxygen species were increased. Restoration of glutathione pools with N-acetyl cysteine normalized oxidative stress and allowed alternative activation in the face of Cpt1a-deficiency, pointing to a role for FAO in the control of ROS and as being important for alternative activation. In VaviCre x Cpt1afl/fl M(IL-4), glutamine uptake was increased, compensating for the loss of FAO to meet necessary metabolic demands, to allow alternative activation. The data indicate that macrophages are able to regulate glutamine metabolism to compensate for chronic disruption of FAO to meet metabolic needs.
- organism: mouse
- assay: metabolomics
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: metabolism & bioenergetics
- approach: genetic perturbation / CRISPR
- approach: statistical model
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