Literature DB >> 32891480

Immune cell infiltration landscapes in pediatric acute myocarditis analyzed by CIBERSORT.

Jun-Ichi Kawada1, Suguru Takeuchi2, Hiroshi Imai3, Toshihiko Okumura2, Kazuhiro Horiba4, Takako Suzuki2, Yuka Torii2, Kazushi Yasuda5, Kyoko Imanaka-Yoshida6, Yoshinori Ito2.   

Abstract

BACKGROUND: Myocarditis is an inflammatory disease of the myocardium, which leads to cardiac dysfunction and heart failure. Previous studies have suggested that complex cross-talk between innate and adaptive immune responses is involved in the pathogenesis of acute myocarditis. Immunohistochemistry is the current standard method for the evaluation of infiltrating immune cells, however, it is difficult to investigate and quantify many immune cell populations using this technique.
METHODS: Endomyocardial biopsy samples of five pediatric patients with myocarditis were analyzed by cell-type identification by estimating relative subsets of RNA transcript (CIBERSORT), a computational method for quantifying cell fractions from tissue gene expression profiles. CIBERSORT results were then compared with immunohistochemistry analyses.
RESULTS: Significant results of immune infiltrate deconvolution were obtained in four patients with fulminant myocarditis by CIBERSORT analysis. Among 22 immune cell types, 19 cell types were detected in one or more patients. Activated NK cells were the most prevalent population in two patients, whereas activated memory CD4+ T cells and M2 macrophages were the most prevalent population in one patient each. Overall CIBERSORT results were consistent with those of immunohistochemistry, although some discrepancies were observed.
CONCLUSIONS: Infiltrating immune cell subsets detected by CIBERSORT analysis can reflect the time course of innate and adaptive immune responses in acute myocarditis. CIBERSORT may have the potential to characterize the detail of infiltrating immune cells in myocardial tissues and provide novel insights into the pathogenesis of acute myocarditis.
Copyright © 2020. Published by Elsevier Ltd.

Entities:  

Keywords:  CIBERSORT; Endomyocardial biopsy; Infiltrating immune cells; Myocarditis; Next-generation sequencing

Year:  2020        PMID: 32891480     DOI: 10.1016/j.jjcc.2020.08.004

Source DB:  PubMed          Journal:  J Cardiol        ISSN: 0914-5087            Impact factor:   3.159


  27 in total

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