4.8 Article

Specific in situ immuno-imaging of pulmonary-resident memory lymphocytes in human lungs

Journal

FRONTIERS IN IMMUNOLOGY
Volume 14, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fimmu.2023.1100161

Keywords

resident memory T cells; resident memory B cells; lung; optical endomicroscopy; fluorescence lifetime imaging

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This study developed a novel method combining ex vivo lung ventilation and fibre-based optical endomicroscopy to detect in situ lymphocyte tissue residency markers in human lungs. This method has significant implications for both research and clinical applications.
IntroductionPulmonary-resident memory T cells (T-RM) and B cells (B-RM) orchestrate protective immunity to reinfection with respiratory pathogens. Developing methods for the in situ detection of these populations would benefit both research and clinical settings. MethodsTo address this need, we developed a novel in situ immunolabelling approach combined with clinic-ready fibre-based optical endomicroscopy (OEM) to detect canonical markers of lymphocyte tissue residency in situ in human lungs undergoing ex vivo lung ventilation (EVLV). ResultsInitially, cells from human lung digests (confirmed to contain T-RM/B-RM populations using flow cytometry) were stained with CD69 and CD103/CD20 fluorescent antibodies and imaged in vitro using KronoScan, demonstrating it's ability to detect antibody labelled cells. We next instilled these pre-labelled cells into human lungs undergoing EVLV and confirmed they could still be visualised using both fluorescence intensity and lifetime imaging against background lung architecture. Finally, we instilled fluorescent CD69 and CD103/CD20 antibodies directly into the lung and were able to detect T-RM/B-RM following in situ labelling within seconds of direct intra-alveolar delivery of microdoses of fluorescently labelled antibodies. DiscussionIn situ, no wash, immunolabelling with intra-alveolar OEM imaging is a novel methodology with the potential to expand the experimental utility of EVLV and pre-clinical models.

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