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Multi-Omic Biomarkers for Patient Stratification in Sjogren’s Syndrome—A Review of the Literature
Sjögren’s syndrome (SS) is a heterogeneous autoimmune rheumatic disease (ARD) characterised by dryness due to the chronic lymphocytic infiltration of the exocrine glands. Patients can also present other extra glandular manifestations, such as arthritis, anaemia and fatigue or various types of organ...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332255/ https://www.ncbi.nlm.nih.gov/pubmed/35892673 http://dx.doi.org/10.3390/biomedicines10081773 |
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author | Martin-Gutierrez, Lucia Wilson, Robert Castelino, Madhura Jury, Elizabeth C. Ciurtin, Coziana |
author_facet | Martin-Gutierrez, Lucia Wilson, Robert Castelino, Madhura Jury, Elizabeth C. Ciurtin, Coziana |
author_sort | Martin-Gutierrez, Lucia |
collection | PubMed |
description | Sjögren’s syndrome (SS) is a heterogeneous autoimmune rheumatic disease (ARD) characterised by dryness due to the chronic lymphocytic infiltration of the exocrine glands. Patients can also present other extra glandular manifestations, such as arthritis, anaemia and fatigue or various types of organ involvement. Due to its heterogenicity, along with the lack of effective treatments, the diagnosis and management of this disease is challenging. The objective of this review is to summarize recent multi-omic publications aiming to identify biomarkers in tears, saliva and peripheral blood from SS patients that could be relevant for their better stratification aiming at improved treatment selection and hopefully better outcomes. We highlight the relevance of pro-inflammatory cytokines and interferon (IFN) as biomarkers identified in higher concentrations in serum, saliva and tears. Transcriptomic studies confirmed the upregulation of IFN and interleukin signalling in patients with SS, whereas immunophenotyping studies have shown dysregulation in the immune cell population frequencies, specifically CD4(+)and C8(+)T activated cells, and their correlations with clinical parameters, such as disease activity scores. Lastly, we discussed emerging findings derived from different omic technologies which can provide integrated knowledge about SS pathogenesis and facilitate personalised medicine approaches leading to better patient outcomes in the future. |
format | Online Article Text |
id | pubmed-9332255 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93322552022-07-29 Multi-Omic Biomarkers for Patient Stratification in Sjogren’s Syndrome—A Review of the Literature Martin-Gutierrez, Lucia Wilson, Robert Castelino, Madhura Jury, Elizabeth C. Ciurtin, Coziana Biomedicines Review Sjögren’s syndrome (SS) is a heterogeneous autoimmune rheumatic disease (ARD) characterised by dryness due to the chronic lymphocytic infiltration of the exocrine glands. Patients can also present other extra glandular manifestations, such as arthritis, anaemia and fatigue or various types of organ involvement. Due to its heterogenicity, along with the lack of effective treatments, the diagnosis and management of this disease is challenging. The objective of this review is to summarize recent multi-omic publications aiming to identify biomarkers in tears, saliva and peripheral blood from SS patients that could be relevant for their better stratification aiming at improved treatment selection and hopefully better outcomes. We highlight the relevance of pro-inflammatory cytokines and interferon (IFN) as biomarkers identified in higher concentrations in serum, saliva and tears. Transcriptomic studies confirmed the upregulation of IFN and interleukin signalling in patients with SS, whereas immunophenotyping studies have shown dysregulation in the immune cell population frequencies, specifically CD4(+)and C8(+)T activated cells, and their correlations with clinical parameters, such as disease activity scores. Lastly, we discussed emerging findings derived from different omic technologies which can provide integrated knowledge about SS pathogenesis and facilitate personalised medicine approaches leading to better patient outcomes in the future. MDPI 2022-07-22 /pmc/articles/PMC9332255/ /pubmed/35892673 http://dx.doi.org/10.3390/biomedicines10081773 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Martin-Gutierrez, Lucia Wilson, Robert Castelino, Madhura Jury, Elizabeth C. Ciurtin, Coziana Multi-Omic Biomarkers for Patient Stratification in Sjogren’s Syndrome—A Review of the Literature |
title | Multi-Omic Biomarkers for Patient Stratification in Sjogren’s Syndrome—A Review of the Literature |
title_full | Multi-Omic Biomarkers for Patient Stratification in Sjogren’s Syndrome—A Review of the Literature |
title_fullStr | Multi-Omic Biomarkers for Patient Stratification in Sjogren’s Syndrome—A Review of the Literature |
title_full_unstemmed | Multi-Omic Biomarkers for Patient Stratification in Sjogren’s Syndrome—A Review of the Literature |
title_short | Multi-Omic Biomarkers for Patient Stratification in Sjogren’s Syndrome—A Review of the Literature |
title_sort | multi-omic biomarkers for patient stratification in sjogren’s syndrome—a review of the literature |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332255/ https://www.ncbi.nlm.nih.gov/pubmed/35892673 http://dx.doi.org/10.3390/biomedicines10081773 |
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