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Abstract Number: 759

Multi Dimensional Analysis of the Immunome in Systemic Sclerosis Reveals Functionally Related Abnormalities in MAIT and B Cell Compartments

Bhairav Paleja1, Pavanish Kumar1, Suzan Saidin1, Ahmad Lajam2, Camillus Chua1, Liyun Lai1, Andrea Hsiu Ling Low2 and Salvatore Albani1, 1SingHealth Translational Immunology and Inflammation Centre (STIIC), Duke-NUS Medical School, Singapore, Singapore, 2Singapore General Hospital, Singapore, Singapore

Meeting: 2017 ACR/ARHP Annual Meeting

Date of first publication: September 18, 2017

Keywords: B cells, CyTOF, T cells and systemic sclerosis

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Session Information

Date: Sunday, November 5, 2017

Title: Systemic Sclerosis, Fibrosing Syndromes and Raynaud's – Pathogenesis, Animal Models and Genetics Poster I

Session Type: ACR Poster Session A

Session Time: 9:00AM-11:00AM

Background/Purpose:

Systemic sclerosis (SSc) is an autoimmune disease characterised by excessive fibrosis of skin and internal organs, and vascular dysfunction. Association of T and B cell subsets have 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 heterogeneity in peripheral blood of SSc patients compared to healthy controls.

Methods:

SSc patients fulfilling ACR 2013 criteria (n=20, of whom 10 were of diffuse cutaneous subtype; 10 had interstitial lung disease) and healthy controls (n=10) were included. Mononuclear cells from blood were analysed by mass cytometry using a 36 marker (cell-surface and intracellular) panel to aid in identification of major PBMC lineages including T cells, B cells, monocytes and NK cells and their subsets. Unsupervised clustering of mass cytometry data was performed using in-house developed analysis software MARVIS. This software combines dimension reduction and clustering steps to identify all possible cellular subsets. Further, custom R scripts helped in identifying nodes that were differentially expressed between the study groups and also phenotype of these nodes.

Results:

Unsupervised clustering performed revealed significant differences in the frequencies of T cell and B cell subsets. Most strikingly we identify a 3 fold decrease in frequencies of Va7.2+ CD161+ mucosal associated invariant T cells (MAIT) in SSc patients and 2 fold increase in total B cells, particularly CD19+ CD27- naive cells. A subset of memory CD8+ T cell, expressing CXCR3 was found to be increased in SSc patients as compared to healthy controls. Transcriptome analysis of sorted B cell and T cell subsets showed decrease in genes related to survival and increased expression of apoptotic genes in CD4,CD8 T and MAIT cells from SSc patients. Interestingly, high expression of CXCR3 gene was observed in transcriptome analysis of CD8+ T cells from SSc patients.

Conclusion:

This study provides an in depth analysis of systemic immune composition in SSc with the potential to delineate mechanisms of pathogenesis and identify diagnostic and/or therapeutic targets. This is the first demonstration of dysfunction of MAIT cells in SSc and further characterisation of their function in this context is required.


Disclosure: B. Paleja, None; P. Kumar, None; S. Saidin, None; A. Lajam, None; C. Chua, None; L. Lai, None; A. H. L. Low, None; S. Albani, None.

To cite this abstract in AMA style:

Paleja B, Kumar P, Saidin S, Lajam A, Chua C, Lai L, Low AHL, Albani S. Multi Dimensional Analysis of the Immunome in Systemic Sclerosis Reveals Functionally Related Abnormalities in MAIT and B Cell Compartments [abstract]. Arthritis Rheumatol. 2017; 69 (suppl 10). https://acrabstracts.org/abstract/multi-dimensional-analysis-of-the-immunome-in-systemic-sclerosis-reveals-functionally-related-abnormalities-in-mait-and-b-cell-compartments/. Accessed .
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