Publication

The immunoregulatory landscape of human tuberculosis granulomas

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Last modified
  • 05/24/2025
Type of Material
Authors
    Erin F McCaffrey, Stanford UniversityMichele Donato, Stanford UniversityLeeat Keren, Weizmann Institute of ScienceZhenghao Chen, Calico Life Sciences LLCAlea Delmastro, Stanford UniversityMegan B Fitzpatrick, University of Wisconsin, MadisonSanjana Gupta, Stanford UniversityNoah F Greenwald, Stanford UniversityAlex Baranski, Stanford UniversityWilliam Graf, California Institute of TechnologyRashmi Kumar, Stanford UniversityMarc Bosse, Stanford UniversityChristine Camacho Fullaway, Stanford UniversityPratista K Ramdial, University of Kwazulu NatalErna Forgó, Stanford UniversityVladimir Jojic, Calico Life Sciences LLCDavid Van Valen, California Institute of TechnologySmriti Mehra, Texas Biomedical Research InstituteShabaana A Khader, Washington UniversitySean C Bendall, Stanford UniversityMatt van de Rijn, Stanford UniversityDaniel Kalman, Emory UniversityDeepak Kaushal, Texas Biomedical Research InstituteRobert L Hunter, University of Texas Health Sciences Center at HoustonNiaz Banaei, Stanford UniversityAdrie JC Steyn, University of Kwazulu NatalPurvesh Khatri, Stanford UniversityMichael Angelo, Stanford University
Language
  • English
Date
  • 2022-01-20
Publisher
  • NATURE PORTFOLIO
Publication Version
Copyright Statement
  • © The Author(s) 2022, corrected publication 2022
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 23
Issue
  • 2
Start Page
  • 318
End Page
  • +
Supplemental Material (URL)
Abstract
  • Tuberculosis (TB) in humans is characterized by formation of immune-rich granulomas in infected tissues, the architecture and composition of which are thought to affect disease outcome. However, our understanding of the spatial relationships that control human granulomas is limited. Here, we used multiplexed ion beam imaging by time of flight (MIBI-TOF) to image 37 proteins in tissues from patients with active TB. We constructed a comprehensive atlas that maps 19 cell subsets across 8 spatial microenvironments. This atlas shows an IFN-γ-depleted microenvironment enriched for TGF-β, regulatory T cells and IDO1+ PD-L1+ myeloid cells. In a further transcriptomic meta-analysis of peripheral blood from patients with TB, immunoregulatory trends mirror those identified by granuloma imaging. Notably, PD-L1 expression is associated with progression to active TB and treatment response. These data indicate that in TB granulomas, there are local spatially coordinated immunoregulatory programs with systemic manifestations that define active TB.
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