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Mass cytometry and single-cell RNA sequencing reveal immune cell characteristics of active and inactive phases of Crohn’s disease

OBJECTIVES: For Crohn’s disease (CD), the alternation of the active phase and inactive phase may be related to humoral immunity and cellular immunity. This study aims to understand the characteristics of immune cells in patients with active CD (CDa) and inactive CD (CDin). METHODS: Mass cytometry (C...

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Autores principales: Lin, Wenjia, Liu, Shiying, Huang, Zhuojian, Li, Haiwen, Lu, Tianyu, Luo, Yongxin, Zhong, Jiamin, Xu, Zewen, Liu, Yu, Li, Yanwu, Li, Peiwu, Xu, Qian, Cai, Jiazhong, Li, Huibiao, Chen, Xin-lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878392/
https://www.ncbi.nlm.nih.gov/pubmed/36714133
http://dx.doi.org/10.3389/fmed.2022.1064106
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author Lin, Wenjia
Liu, Shiying
Huang, Zhuojian
Li, Haiwen
Lu, Tianyu
Luo, Yongxin
Zhong, Jiamin
Xu, Zewen
Liu, Yu
Li, Yanwu
Li, Peiwu
Xu, Qian
Cai, Jiazhong
Li, Huibiao
Chen, Xin-lin
author_facet Lin, Wenjia
Liu, Shiying
Huang, Zhuojian
Li, Haiwen
Lu, Tianyu
Luo, Yongxin
Zhong, Jiamin
Xu, Zewen
Liu, Yu
Li, Yanwu
Li, Peiwu
Xu, Qian
Cai, Jiazhong
Li, Huibiao
Chen, Xin-lin
author_sort Lin, Wenjia
collection PubMed
description OBJECTIVES: For Crohn’s disease (CD), the alternation of the active phase and inactive phase may be related to humoral immunity and cellular immunity. This study aims to understand the characteristics of immune cells in patients with active CD (CDa) and inactive CD (CDin). METHODS: Mass cytometry (CyTOF) and single-cell RNA sequencing (scRNA-seq) data about CDa, CDin, and healthy control (HC) were included. CyTOF analysis was performed to capture gated subsets, including T cells, T regulatory (Treg) cells, B cells, innate immune cells, and natural killer (NK) cells. Differential analysis was used to identify different immune cell subsets among CDa, CDin, and HC. ScRNA-seq analysis was used to verify the results of CyTOF. CD-related signaling pathways were obtained using KEGG pathway enrichment analysis. CellChat analysis was used to infer the cell communication network among immune cell subsets. RESULTS: Compared to patients with CDin, patients with CDa had higher abundances of CD16(+)CD38(+)CD4(+)CXCR3(+)CCR6(+) naive T cells, HLA-DR(+)CD38(+)IFNγ(+)TNF(+) effector memory (EM) T cells, HLA-DR(+)IFNγ(+) naive B cells, and CD14(++)CD11C(+)IFNγ(+)IL1B(+) monocytes. KEGG analysis showed the similarity of pathway enrichment for the earlier four subsets, such as thermogenesis, oxidative phosphorylation, and metabolic pathways. The patients with CDin were characterized by an increased number of CD16(+)CD56(dim)CD44(+)HLA-DR(+)IL22(+) NK cells. Compared to HC, patients with CDa demonstrated a low abundance of HLA-DR(+)CCR6(+) NK cells and a high abundance of FOXP3(+)CD44(+) EM Tregs. CellChat analysis revealed the interaction network of cell subsets amplifying in CDa compared with CDin. CONCLUSION: Some immune subsets cells were identified for CDa and CDin. These cells may be related to the occurrence and development of CD and may provide assistance in disease diagnosis and treatment.
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spelling pubmed-98783922023-01-27 Mass cytometry and single-cell RNA sequencing reveal immune cell characteristics of active and inactive phases of Crohn’s disease Lin, Wenjia Liu, Shiying Huang, Zhuojian Li, Haiwen Lu, Tianyu Luo, Yongxin Zhong, Jiamin Xu, Zewen Liu, Yu Li, Yanwu Li, Peiwu Xu, Qian Cai, Jiazhong Li, Huibiao Chen, Xin-lin Front Med (Lausanne) Medicine OBJECTIVES: For Crohn’s disease (CD), the alternation of the active phase and inactive phase may be related to humoral immunity and cellular immunity. This study aims to understand the characteristics of immune cells in patients with active CD (CDa) and inactive CD (CDin). METHODS: Mass cytometry (CyTOF) and single-cell RNA sequencing (scRNA-seq) data about CDa, CDin, and healthy control (HC) were included. CyTOF analysis was performed to capture gated subsets, including T cells, T regulatory (Treg) cells, B cells, innate immune cells, and natural killer (NK) cells. Differential analysis was used to identify different immune cell subsets among CDa, CDin, and HC. ScRNA-seq analysis was used to verify the results of CyTOF. CD-related signaling pathways were obtained using KEGG pathway enrichment analysis. CellChat analysis was used to infer the cell communication network among immune cell subsets. RESULTS: Compared to patients with CDin, patients with CDa had higher abundances of CD16(+)CD38(+)CD4(+)CXCR3(+)CCR6(+) naive T cells, HLA-DR(+)CD38(+)IFNγ(+)TNF(+) effector memory (EM) T cells, HLA-DR(+)IFNγ(+) naive B cells, and CD14(++)CD11C(+)IFNγ(+)IL1B(+) monocytes. KEGG analysis showed the similarity of pathway enrichment for the earlier four subsets, such as thermogenesis, oxidative phosphorylation, and metabolic pathways. The patients with CDin were characterized by an increased number of CD16(+)CD56(dim)CD44(+)HLA-DR(+)IL22(+) NK cells. Compared to HC, patients with CDa demonstrated a low abundance of HLA-DR(+)CCR6(+) NK cells and a high abundance of FOXP3(+)CD44(+) EM Tregs. CellChat analysis revealed the interaction network of cell subsets amplifying in CDa compared with CDin. CONCLUSION: Some immune subsets cells were identified for CDa and CDin. These cells may be related to the occurrence and development of CD and may provide assistance in disease diagnosis and treatment. Frontiers Media S.A. 2023-01-12 /pmc/articles/PMC9878392/ /pubmed/36714133 http://dx.doi.org/10.3389/fmed.2022.1064106 Text en Copyright © 2023 Lin, Liu, Huang, Li, Lu, Luo, Zhong, Xu, Liu, Li, Li, Xu, Cai, Li and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Lin, Wenjia
Liu, Shiying
Huang, Zhuojian
Li, Haiwen
Lu, Tianyu
Luo, Yongxin
Zhong, Jiamin
Xu, Zewen
Liu, Yu
Li, Yanwu
Li, Peiwu
Xu, Qian
Cai, Jiazhong
Li, Huibiao
Chen, Xin-lin
Mass cytometry and single-cell RNA sequencing reveal immune cell characteristics of active and inactive phases of Crohn’s disease
title Mass cytometry and single-cell RNA sequencing reveal immune cell characteristics of active and inactive phases of Crohn’s disease
title_full Mass cytometry and single-cell RNA sequencing reveal immune cell characteristics of active and inactive phases of Crohn’s disease
title_fullStr Mass cytometry and single-cell RNA sequencing reveal immune cell characteristics of active and inactive phases of Crohn’s disease
title_full_unstemmed Mass cytometry and single-cell RNA sequencing reveal immune cell characteristics of active and inactive phases of Crohn’s disease
title_short Mass cytometry and single-cell RNA sequencing reveal immune cell characteristics of active and inactive phases of Crohn’s disease
title_sort mass cytometry and single-cell rna sequencing reveal immune cell characteristics of active and inactive phases of crohn’s disease
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878392/
https://www.ncbi.nlm.nih.gov/pubmed/36714133
http://dx.doi.org/10.3389/fmed.2022.1064106
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