Murine macrophage choline metabolism underpins IL-4 polarization and RELMα up-regulation
Ghorbani, P.; Kim, S. Y.; Smith, T. K.; Minarrieta, L.; Kilgour, M. K.; Ilijevska, M.; Alecu, I.; Snider, S. A.; Margison, K. D.; Nunes, J. R.; Woo, D.; Pember, C.; O'Dwyer, C.; St-Pierre, J.; Bennett, S. A.; Nair, M. G.; Fullerton, M. D.
Show abstract
Type 2 cytokines like IL-4 are hallmarks of helminth infection and activate macrophages to limit immunopathology and mediate helminth clearance. In addition to cytokines, nutrients and metabolites critically influence macrophage polarization. Choline is an essential nutrient known to support normal macrophage responses to lipopolysaccharide; however, its function in macrophages polarized by type 2 cytokines is unknown. Using murine IL-4-polarized macrophages, targeted lipidomics revealed significantly elevated levels of phosphatidylcholine, with select changes to other choline-containing lipid species. These changes were supported by the coordinated upregulation of choline transport compared to naive macrophages. Pharmacological inhibition of choline metabolism significantly suppressed several mitochondrial transcripts and dramatically inhibited select IL-4-responsive transcripts, most notably, Retnla. We further confirmed that blocking choline metabolism diminished IL-4-induced RELM (encoded by Retnla) protein content and secretion and caused a dramatic reprogramming toward glycolytic metabolism. To better understand the physiological implications of these observations, naive or mice infected with intestinal helminths Heligmosomoides polygyrus or Nippostrongylus brasiliensis were treated with the choline kinase inhibitor, RSM-932A, to limit choline metabolism in vivo. Pharmacological inhibition of choline metabolism lowered RELM expression across cell-types and tissues and led to the disappearance of peritoneal macrophages and B-1 lymphocytes and an influx of infiltrating monocytes. The impaired macrophage activation was associated with some loss in optimal immunity to H. polygyrus with increased egg burden, but there were no differences in intestinal worm count nor differences in N. brasiliensis parasite burden. Together, these data demonstrate that choline metabolism is required for macrophage RELM induction, metabolic programming, and peritoneal immune homeostasis, which could have important implications in the context of other models of infection or cancer immunity. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=125 SRC="FIGDIR/small/510305v2_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@2f83a3org.highwire.dtl.DTLVardef@16b74b1org.highwire.dtl.DTLVardef@1ba1f8dorg.highwire.dtl.DTLVardef@6da06a_HPS_FORMAT_FIGEXP M_FIG C_FIG
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Trained ILC2 prevent IL-17-associated lung injury during helminth infection through a serotonin-dependent mechanism 94%
- Microbiota promote enhanced CD39 expression in γδ intraepithelial lymphocytes through the activation of TCR and IL-15 signaling 94%
- Tissue-based IL-10 signalling in helminth infection limits IFNγ expression and promotes the intestinal Th2 response 94%
Similar papers in this journal
- Multi-omic Characterization of Pancreatic Cancer-Associated Macrophage Polarization Reveals Deregulated Metabolic Programs Driven by the GMCSF-PI3K Pathway 95%
- Immunopeptidomics reveals determinants of Mycobacterium tuberculosis antigen presentation on MHC class I 95%
- Re-programming of GM-CSF-dependent alveolar macrophages through GSK3 activity modulation 95%
Similar papers in this journal
Similar papers in this journal
- Targeting Specific Kinase Substrates Rescues Increased Colitis Severity Induced by the Crohn's Disease-Linked LRRK2-N2081D Variant 95%
- Distinct Colitis-Associated Macrophages Drive NOD2-Dependent Bacterial Sensing and Gut Homeostasis 94%
- Group IIA Secreted Phospholipase A 2 Plays a Central Role in the Pathobiology of COVID-19 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.