Literature DB >> 32911535

Association of differentially expressed genes and autoantibody type in patients with systemic sclerosis.

Jun Inamo1.   

Abstract

OBJECTIVES: The aims of this study were to investigate the relationship between the type of autoantibody and gene expression profile in skin lesions from patients with SSc, and to identify specific dysregulated pathways in SSc patients compared with healthy controls.
METHODS: Sixty-one patients with SSc from the Genetics vs Environment in Scleroderma Outcome Study cohort and 36 healthy controls were included in this study. Differentially expressed genes were extracted and functional enrichment and pathway analysis were conducted.
RESULTS: Compared with healthy controls, lists containing 2, 71, 10, 144 and 78 differentially expressed genes were created for patients without specific autoantibody, ACA, anti-U1 RNP antibody (RNP), anti-RNA polymerase III antibody (RNAP) and anti-topoisomerase I antibody (ATA), respectively. While part of the enriched pathways overlapped, distinct pathways were identified except in those patients lacking specific autoantibody. The distinct enriched pathways included 'keratinocyte differentiation' for ACA, 'nuclear factor κB signalling' and 'cellular response to TGF-β stimulus' for RNAP, 'interferon α/β signalling' for RNP, and 'cellular response to stress' for ATA. Cell type signature score analysis revealed that macrophages/monocytes, endothelial cells and fibroblasts were associated with ACA, RNAP, ATA and the severity of the SSc skin lesions.
CONCLUSION: Pathogenic pathways were identified according to the type of autoantibody by leveraging gene expression data of patients and controls from a multicentre cohort. The current study may promote the search for new therapeutic targets for SSc.
© The Author(s) 2020. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  SSc; autoantibody; bioinformatics; skin

Mesh:

Substances:

Year:  2021        PMID: 32911535     DOI: 10.1093/rheumatology/keaa447

Source DB:  PubMed          Journal:  Rheumatology (Oxford)        ISSN: 1462-0324            Impact factor:   7.580


  4 in total

1.  Large-scale analysis of longitudinal skin gene expression in systemic sclerosis reveals relationships of immune cell and fibroblast activity with skin thickness and a trend towards normalisation over time.

Authors:  Brian Skaug; Marka A Lyons; William R Swindell; Gloria A Salazar; Minghua Wu; Tuan M Tran; Julio Charles; Connor P Vershel; Maureen D Mayes; Shervin Assassi
Journal:  Ann Rheum Dis       Date:  2021-12-22       Impact factor: 19.103

2.  Effects of Immunoglobulins G From Systemic Sclerosis Patients in Normal Dermal Fibroblasts: A Multi-Omics Study.

Authors:  Aurélien Chepy; Solange Vivier; Fabrice Bray; Camille Ternynck; Jean-Pascal Meneboo; Martin Figeac; Alexandre Filiot; Lucile Guilbert; Manel Jendoubi; Christian Rolando; David Launay; Sylvain Dubucquoi; Guillemette Marot; Vincent Sobanski
Journal:  Front Immunol       Date:  2022-06-29       Impact factor: 8.786

Review 3.  Pathogenetic Aspects of Systemic Sclerosis: A View Through the Prism of B Cells.

Authors:  Konstantinos Melissaropoulos; George Iliopoulos; Lazaros I Sakkas; Dimitrios Daoussis
Journal:  Front Immunol       Date:  2022-06-23       Impact factor: 8.786

Review 4.  Can Antinuclear Antibodies Have a Pathogenic Role in Systemic Sclerosis?

Authors:  Aurélien Chepy; Louisa Bourel; Vincent Koether; David Launay; Sylvain Dubucquoi; Vincent Sobanski
Journal:  Front Immunol       Date:  2022-06-28       Impact factor: 8.786

  4 in total

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