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Systemic Sclerosis Perturbs the Architecture of the Immunome

Systemic sclerosis (SSc) is an autoimmune disease characterized by excessive fibrosis of skin and internal organs, and vascular dysfunction. Association of T and B cell subsets has been reported in SSc; however, there is lack of systematic studies of functional relations between immune cell subsets...

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Autores principales: Paleja, Bhairav, Low, Andrea Hsiu Ling, Kumar, Pavanish, Saidin, Suzan, Lajam, Ahmad, Nur Hazirah, Sharifah, Chua, Camillus, Li Yun, Lai, Albani, Salvatore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7423974/
https://www.ncbi.nlm.nih.gov/pubmed/32849542
http://dx.doi.org/10.3389/fimmu.2020.01602
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author Paleja, Bhairav
Low, Andrea Hsiu Ling
Kumar, Pavanish
Saidin, Suzan
Lajam, Ahmad
Nur Hazirah, Sharifah
Chua, Camillus
Li Yun, Lai
Albani, Salvatore
author_facet Paleja, Bhairav
Low, Andrea Hsiu Ling
Kumar, Pavanish
Saidin, Suzan
Lajam, Ahmad
Nur Hazirah, Sharifah
Chua, Camillus
Li Yun, Lai
Albani, Salvatore
author_sort Paleja, Bhairav
collection PubMed
description Systemic sclerosis (SSc) is an autoimmune disease characterized by excessive fibrosis of skin and internal organs, and vascular dysfunction. Association of T and B cell subsets has been reported in SSc; however, there is lack of systematic studies of functional relations between immune cell subsets in this disease. This lack of mechanistic knowledge hampers targeted intervention. In the current study we sought to determine differential immune cell composition and their interactions in peripheral blood of SSc patients. Mononuclear cells from blood of SSc patients (n = 20) and healthy controls (n = 10) were analyzed by mass cytometry using a 36-marker (cell surface and intracellular) panel. Transcriptome analysis (m-RNA sequencing) was performed on sorted T and B cell subsets. Unsupervised clustering analysis revealed significant differences in the frequencies of T and B cell subsets in patients. Correlation network analysis highlighted an overall dysregulated immune architecture coupled with domination of inflammatory senescent T cell modules in SSc patients. Transcriptome analysis of sorted immune cells revealed an activated phenotype of CD4 and mucosal associated invariant T (MAIT) cells in patients, accompanied by increased expression of inhibitory molecules, reminiscent of phenotype exhibited by functionally adapted, exhausted T cells in response to chronic stimulation. Overall, this study provides an in-depth analysis of the systemic immunome in SSc, highlighting the potential pathogenic role of inflammation and chronic stimulation-mediated “functional adaptation” of immune cells.
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spelling pubmed-74239742020-08-25 Systemic Sclerosis Perturbs the Architecture of the Immunome Paleja, Bhairav Low, Andrea Hsiu Ling Kumar, Pavanish Saidin, Suzan Lajam, Ahmad Nur Hazirah, Sharifah Chua, Camillus Li Yun, Lai Albani, Salvatore Front Immunol Immunology Systemic sclerosis (SSc) is an autoimmune disease characterized by excessive fibrosis of skin and internal organs, and vascular dysfunction. Association of T and B cell subsets has been reported in SSc; however, there is lack of systematic studies of functional relations between immune cell subsets in this disease. This lack of mechanistic knowledge hampers targeted intervention. In the current study we sought to determine differential immune cell composition and their interactions in peripheral blood of SSc patients. Mononuclear cells from blood of SSc patients (n = 20) and healthy controls (n = 10) were analyzed by mass cytometry using a 36-marker (cell surface and intracellular) panel. Transcriptome analysis (m-RNA sequencing) was performed on sorted T and B cell subsets. Unsupervised clustering analysis revealed significant differences in the frequencies of T and B cell subsets in patients. Correlation network analysis highlighted an overall dysregulated immune architecture coupled with domination of inflammatory senescent T cell modules in SSc patients. Transcriptome analysis of sorted immune cells revealed an activated phenotype of CD4 and mucosal associated invariant T (MAIT) cells in patients, accompanied by increased expression of inhibitory molecules, reminiscent of phenotype exhibited by functionally adapted, exhausted T cells in response to chronic stimulation. Overall, this study provides an in-depth analysis of the systemic immunome in SSc, highlighting the potential pathogenic role of inflammation and chronic stimulation-mediated “functional adaptation” of immune cells. Frontiers Media S.A. 2020-08-06 /pmc/articles/PMC7423974/ /pubmed/32849542 http://dx.doi.org/10.3389/fimmu.2020.01602 Text en Copyright © 2020 Paleja, Low, Kumar, Saidin, Lajam, Nur Hazirah, Chua, Li Yun and Albani. http://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 Immunology
Paleja, Bhairav
Low, Andrea Hsiu Ling
Kumar, Pavanish
Saidin, Suzan
Lajam, Ahmad
Nur Hazirah, Sharifah
Chua, Camillus
Li Yun, Lai
Albani, Salvatore
Systemic Sclerosis Perturbs the Architecture of the Immunome
title Systemic Sclerosis Perturbs the Architecture of the Immunome
title_full Systemic Sclerosis Perturbs the Architecture of the Immunome
title_fullStr Systemic Sclerosis Perturbs the Architecture of the Immunome
title_full_unstemmed Systemic Sclerosis Perturbs the Architecture of the Immunome
title_short Systemic Sclerosis Perturbs the Architecture of the Immunome
title_sort systemic sclerosis perturbs the architecture of the immunome
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7423974/
https://www.ncbi.nlm.nih.gov/pubmed/32849542
http://dx.doi.org/10.3389/fimmu.2020.01602
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