High-dimensional profiling clusters asthma severity by lymphoid and non-lymphoid status.

ABSTRACT: Clinical definitions of asthma fail to capture the heterogeneity of immune dysfunction in severe, treatment-refractory disease. Applying mass cytometry and machine learning to bronchoalveolar lavage (BAL) cells, we find that corticosteroid-resistant asthma patients cluster largely into two groups: one enriched in interleukin (IL)-4⁺ innate immune cells and another dominated by interferon (IFN)-γ⁺ T cells, including tissue-resident memory cells. In contrast, BAL cells of a healthier population are enriched in IL-10⁺ macrophages. To better understand cellular mediators of severe asthma, we developed the Immune Cell Linkage through Exploratory Matrices (ICLite) algorithm to perform deconvolution of bulk RNA sequencing of mixed-cell populations. Signatures of m

SUBMITTER: Camiolo MJ 

PROVIDER: S-EPMC8133874 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature