| Literature DB >> 35427180 |
David E Sanin1,2, Yan Ge3, Emilija Marinkovic3, Agnieszka M Kabat1,2, Angela Castoldi1, George Caputa1, Katarzyna M Grzes1,2, Jonathan D Curtis2, Elizabeth A Thompson2, Sebastian Willenborg4, Stefanie Dichtl5, Susanne Reinhardt6, Andreas Dahl6, Erika L Pearce1,2,7, Sabine A Eming4,8,9,10, Alexander Gerbaulet3, Axel Roers3, Peter J Murray5, Edward J Pearce1,2,11,12.
Abstract
Macrophages populate every organ during homeostasis and disease, displaying features of tissue imprinting and heterogeneous activation. The disconnected picture of macrophage biology that has emerged from these observations is a barrier for integration across models or with in vitro macrophage activation paradigms. We set out to contextualize macrophage heterogeneity across mouse tissues and inflammatory conditions, specifically aiming to define a common framework of macrophage activation. We built a predictive model with which we mapped the activation of macrophages across 12 tissues and 25 biological conditions, finding a notable commonality and finite number of transcriptional profiles, in particular among infiltrating macrophages, which we modeled as defined stages along four conserved activation paths. These activation paths include a "phagocytic" regulatory path, an "inflammatory" cytokine-producing path, an "oxidative stress" antimicrobial path, or a "remodeling" extracellular matrix deposition path. We verified this model with adoptive cell transfer experiments and identified transient RELMɑ expression as a feature of monocyte-derived macrophage tissue engraftment. We propose that this integrative approach of macrophage classification allows the establishment of a common predictive framework of monocyte-derived macrophage activation in inflammation and homeostasis.Entities:
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Year: 2022 PMID: 35427180 DOI: 10.1126/sciimmunol.abl7482
Source DB: PubMed Journal: Sci Immunol ISSN: 2470-9468