The immunoregulatory landscape of human tuberculosis granulomas.
Erin F McCaffreyMichele DonatoLeeat KerenZhenghao ChenAlea DelmastroMegan Burke FitzpatrickSanjana GuptaNoah F GreenwaldAlex BaranskiWilliam GrafRashmi KumarMarc BosseChristine Camacho FullawayPratista K RamdialErna ForgóVladimir JojicDavid Van ValenSmriti MehraShabaana Abdul KhaderSean C BendallMatt van de RijnDaniel KalmanDeepak KaushalRobert L HunterNiaz BanaeiAdrie J C SteynPurvesh KhatriR Michael AngeloPublished in: Nature immunology (2022)
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.
Keyphrases
- mycobacterium tuberculosis
- single cell
- regulatory t cells
- peripheral blood
- endothelial cells
- dendritic cells
- rna seq
- pulmonary tuberculosis
- high resolution
- gene expression
- stem cells
- immune response
- mass spectrometry
- induced apoptosis
- wastewater treatment
- ms ms
- machine learning
- deep learning
- cell therapy
- public health
- oxidative stress
- emergency department
- fluorescence imaging
- mesenchymal stem cells
- electronic health record
- big data
- human immunodeficiency virus
- cell cycle arrest
- adverse drug