Hematopoietic stem and progenitor cells confer cross-protective trained immunity in mouse models
Recent studies suggest that infection reprograms hematopoietic stem and progenitor cells (HSPCs) to enhance innate immune responses upon secondary infectious challenge, a process called “trained immunity.” However, the specificity and cell types responsible for this response remain poorly defined. W...
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Veröffentlicht in: | iScience 2023-09, Vol.26 (9), p.107596-107596, Article 107596 |
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Sprache: | eng |
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Zusammenfassung: | Recent studies suggest that infection reprograms hematopoietic stem and progenitor cells (HSPCs) to enhance innate immune responses upon secondary infectious challenge, a process called “trained immunity.” However, the specificity and cell types responsible for this response remain poorly defined. We established a model of trained immunity in mice in response to Mycobacterium avium infection. scRNA-seq analysis revealed that HSPCs activate interferon gamma-response genes heterogeneously upon primary challenge, while rare cell populations expand. Macrophages derived from trained HSPCs demonstrated enhanced bacterial killing and metabolism, and a single dose of recombinant interferon gamma exposure was sufficient to induce similar training. Mice transplanted with influenza-trained HSPCs displayed enhanced immunity against M. avium challenge and vice versa, demonstrating cross protection against antigenically distinct pathogens. Together, these results indicate that heterogeneous responses to infection by HSPCs can lead to long-term production of bone marrow derived macrophages with enhanced function and confer cross-protection against alternative pathogens.
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•Mycobacterium avium exposure induces HSPC-encoded trained immunity•Transcriptional responses to infection are heterogeneous among HSPCs•rIFNγ HSPC training induces increased BMDM killing and lasting metabolic rewiring•HSPC-encoded M. avium trained immunity cross-protects against influenza
Cell biology; Immunology; Microbiology; Stem cells research; Transcriptomics |
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ISSN: | 2589-0042 2589-0042 |
DOI: | 10.1016/j.isci.2023.107596 |