Single-cell transcriptomic analysis reveals the immune landscape of lung in steroid-resistant asthma exacerbation
Exaggerated airway hyperresponsiveness and inflammation are hallmarks of asthma, and lipopolysaccharide (LPS) exposure is linked to the severity of the disease and steroid resistance. To investigate the mechanisms underlying asthma exacerbation, we established a mouse model of LPS-induced steroid-re...
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Published in | Proceedings of the National Academy of Sciences - PNAS Vol. 118; no. 2; pp. 1 - 11 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
National Academy of Sciences
12.01.2021
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Subjects | |
Online Access | Get full text |
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Summary: | Exaggerated airway hyperresponsiveness and inflammation are hallmarks of asthma, and lipopolysaccharide (LPS) exposure is linked to the severity of the disease and steroid resistance. To investigate the mechanisms underlying asthma exacerbation, we established a mouse model of LPS-induced steroid-resistant exacerbation on the background of house dust mite (HDM)-induced asthma to profile the immune cells in lung by using single-cell RNA deep sequencing. Twenty immune subsets were identified by their molecular and functional properties. Specific cell clusters of basophils, type 2 innate lymphoid cells (ILC2), and CD8⁺ memory T cells were the predominant sources of interleukin (IL)-4 and IL-13 transcripts whose expressions were dexamethasone resistant. Production of IL-13 by these cells was validated by IL-13-reporter mice. Neutralization of IL-13 abolished HDM/LPS-induced airway hyperresponsiveness, airway inflammation, and decreased mucus hypersecretion. Furthermore, using Ingenuity Pathway Analysis systems, we identified canonical pathways and upstream regulators that regulate the activation of basophils, ILC2, and CD8⁺ memory T cells. Our study provides mechanistic insights and an important reference resource for further understanding of the immune landscape during asthma exacerbation. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by Ariel Munitz, Tel Aviv University, Tel Aviv, Israel, and accepted by Editorial Board Member Ruslan Medzhitov November 27, 2020 (received for review April 15, 2020) Author contributions: F.G.L. and M.Y. designed research; L.L.W., K.G.N., L.J.Z., X.J.L., and M.W. performed research; G.J.Z. contributed new reagents/analytic tools; L.L.W., K.G.N., P.S.F., F.G.L., and M.Y. analyzed data; and F.G.L. and M.Y. wrote the paper. 1L.L.W. and K.G.N. contributed equally to this work. 2F.G.L. and M.Y. contributed equally to this work. |
ISSN: | 0027-8424 1091-6490 |
DOI: | 10.1073/pnas.2005590118 |