Multi-Omic Biomarkers for Patient Stratification in Sjogren's Syndrome-A Review of the Literature

被引:5
|
作者
Martin-Gutierrez, Lucia [1 ]
Wilson, Robert [2 ]
Castelino, Madhura [2 ]
Jury, Elizabeth C. [1 ]
Ciurtin, Coziana [3 ]
机构
[1] UCL, Ctr Rheumatol Res, Div Med, London WC1E 6JF, England
[2] Univ Coll London Hosp NHS Trust, Dept Rheumatol, London NW1 2PG, England
[3] UCL, Ctr Adolescent Rheumatol Versus Arthrit, Div Med, London WC1E 6JF, England
关键词
Sjogren's syndrome; patient stratification; clinical relevance; multi-omics; POTENTIAL BIOMARKERS; DISEASE-ACTIVITY; METABOLOMICS; PATHOGENESIS; SIGNATURES; METAANALYSIS; EPIGENETICS; MANAGEMENT; THERAPY; SALIVA;
D O I
10.3390/biomedicines10081773
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Sjogren'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.
引用
收藏
页数:23
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