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Phenotypic Landscape of Immune Cells in Sepsis: Insights from High-Dimensional Mass Cytometry

Authors
Park, SeheePerumalsamy, HaribalanGerelkhuu, ZayakhuuSunderraj, SnehaLee, YangsoonYoon, Tae Hyun
Issue Date
Jun-2024
Publisher
American Chemical Society
Keywords
sepsis; immune cells; phenotype alteration; single cell; mass cytometry
Citation
ACS Infectious Diseases, v.10, no.7, pp 2390 - 2402
Pages
13
Indexed
SCIE
SCOPUS
Journal Title
ACS Infectious Diseases
Volume
10
Number
7
Start Page
2390
End Page
2402
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/209562
DOI
10.1021/acsinfecdis.4c00066
ISSN
2373-8227
Abstract
Understanding the sepsis-induced immunological response can be facilitated by identifying phenotypic changes in immune cells at the single-cell level. Mass cytometry, a novel multiparametric single-cell analysis technique, offers considerable benefits in characterizing sepsis-induced phenotypic changes in peripheral blood mononuclear cells. Here, we analyzed peripheral blood mononuclear cells from 20 sepsis patients and 10 healthy donors using mass cytometry and employing 23 markers. Both manual gating and automated clustering approaches (PhenoGraph) were used for cell identification, complemented by uniform manifold approximation and projection (UMAP) for dimensionality reduction and visualization. Our study revealed that patients with sepsis exhibited a unique immune cell profile, marked by an increased presence of monocytes, B cells, and dendritic cells, alongside a reduction in natural killer (NK) cells and CD4/CD8 T cells. Notably, significant changes in the distributions of monocytes and B and CD4 T cells were observed. Clustering with PhenoGraph unveiled the subsets of each cell type and identified elevated CCR6 expression in sepsis patients’ monocyte subset (PG#5), while further PhenoGraph clustering on manually gated T and B cells discovered sepsis-specific CD4 T cell subsets (CCR4low CD20low CD38low) and B cell subsets (HLA-DRlow CCR7low CCR6high), which could potentially serve as novel diagnostic markers for sepsis.
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서울 의과대학 (DEPARTMENT OF LABORATORY MEDICINE)
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