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

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dc.contributor.authorPark, Sehee-
dc.contributor.authorPerumalsamy, Haribalan-
dc.contributor.authorGerelkhuu, Zayakhuu-
dc.contributor.authorSunderraj, Sneha-
dc.contributor.authorLee, Yangsoon-
dc.contributor.authorYoon, Tae Hyun-
dc.date.accessioned2025-12-08T06:00:47Z-
dc.date.available2025-12-08T06:00:47Z-
dc.date.issued2024-06-
dc.identifier.issn2373-8227-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/209562-
dc.description.abstractUnderstanding 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.-
dc.format.extent13-
dc.language영어-
dc.language.isoENG-
dc.publisherAmerican Chemical Society-
dc.titlePhenotypic Landscape of Immune Cells in Sepsis: Insights from High-Dimensional Mass Cytometry-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1021/acsinfecdis.4c00066-
dc.identifier.scopusid2-s2.0-85195549732-
dc.identifier.wosid001242683700001-
dc.identifier.bibliographicCitationACS Infectious Diseases, v.10, no.7, pp 2390 - 2402-
dc.citation.titleACS Infectious Diseases-
dc.citation.volume10-
dc.citation.number7-
dc.citation.startPage2390-
dc.citation.endPage2402-
dc.type.docTypeArticle in press-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaPharmacology & Pharmacy-
dc.relation.journalResearchAreaInfectious Diseases-
dc.relation.journalWebOfScienceCategoryChemistry, Medicinal-
dc.relation.journalWebOfScienceCategoryInfectious Diseases-
dc.subject.keywordPlusT-CELLS-
dc.subject.keywordPlusMONOCYTES-
dc.subject.keywordPlusHELPER-
dc.subject.keywordPlusDIFFERENTIATION-
dc.subject.keywordPlusACTIVATION-
dc.subject.keywordPlusMICE-
dc.subject.keywordAuthorsepsis-
dc.subject.keywordAuthorimmune cells-
dc.subject.keywordAuthorphenotype alteration-
dc.subject.keywordAuthorsingle cell-
dc.subject.keywordAuthormass cytometry-
dc.identifier.urlhttps://pubs.acs.org/doi/10.1021/acsinfecdis.4c00066-
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