Literature DB >> 33579750

Innate cell microenvironments in lymph nodes shape the generation of T cell responses during type I inflammation.

Joseph M Leal1, Jessica Y Huang1, Karan Kohli2, Caleb Stoltzfus1, Miranda R Lyons-Cohen1, Brandy E Olin1, Michael Gale1, Michael Y Gerner3.   

Abstract

Microanatomical organization of innate immune cells within lymph nodes (LNs) is critical for the generation of adaptive responses. In particular, steady-state LN-resident dendritic cells (Res cDCs) are strategically localized to intercept lymph-draining antigens. Whether myeloid cell organization changes during inflammation and how that might affect the generation of immune responses are unknown. Here, we report that during type I, but not type II, inflammation after adjuvant immunization or viral infection, antigen-presenting Res cDCs undergo CCR7-dependent intranodal repositioning from the LN periphery into the T cell zone (TZ) to elicit T cell priming. Concurrently, inflammatory monocytes infiltrate the LNs via local blood vessels, enter the TZ, and cooperate with Res cDCs by providing polarizing cytokines to optimize T cell effector differentiation. Monocyte infiltration is nonuniform across LNs, generating distinct microenvironments with varied local innate cell composition. These spatial microdomains are associated with divergent early T cell effector programming, indicating that innate microenvironments within LNs play a critical role in regulating the quality and heterogeneity of T cell responses. Together, our findings reveal that dynamic modulation of innate cell microenvironments during type I inflammation leads to optimized generation of adaptive immune responses to vaccines and infections.
Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

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Year:  2021        PMID: 33579750      PMCID: PMC8274717          DOI: 10.1126/sciimmunol.abb9435

Source DB:  PubMed          Journal:  Sci Immunol        ISSN: 2470-9468


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