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1.
Clin Exp Rheumatol ; 35(1): 33-42, 2017.
Article in English | MEDLINE | ID: mdl-28032847

ABSTRACT

OBJECTIVES: To analyse the expression regulation of two inducible HSP70 genes - HSPA1A and HSPA1B - located within the major histocompatibility complex (MHC) in patients with various systemic autoimmune diseases and to prove the reliability of MHC-located HSP70 genes as molecular markers reflecting the autoimmune process. METHODS: 94 adult patients with idiopathic inflammatory myopathy (IIM, n=31), systemic lupus erythematosus (SLE, n=31) or systemic sclerosis (SSc, n=32) and 37 healthy individuals were analysed. The mRNA expression level was determined using quantitative real-time PCR method. The expression of intracellular HSP70 was established by flow cytometry, the extracellular HSP70 protein was measured in plasma samples using a commercially available sandwich enzyme-linked immunosorbent assay (ELISA). RESULTS: The expression of HSPA1A gene was significantly up-regulated in patients with autoimmune diseases (SLE: p<0.01; SSc: p<0.01; IIM: p<0.0001) compared to healthy controls. The expression of HSPA1B gene was increased only in patients with myositis (p<0.05). Furthermore, the HSPA1B gene expression is associated with the HLA-DRB1*03 risk allele in patients with IIM. In addition, we have found a relation between HSPA1A gene expression regulation and the presence of disease specific autoantibodies in patients with SLE and myositis. The level of intracellular HSP70 was not increased; however, the level of extracellular HSP70 protein was increased in patients suffering from SSc and IIM as compared to controls. CONCLUSIONS: The results suggest an involvement of the MHC-linked HSP70 genes in the pathology of studied autoimmune disorders. Therefore, the HSPA1A and HSPA1B genes might serve as an interesting candidate molecule for development of distinct types of autoimmunities.


Subject(s)
Autoimmunity/genetics , HSP70 Heat-Shock Proteins/genetics , Lupus Erythematosus, Systemic/genetics , Myositis/genetics , Scleroderma, Systemic/genetics , Adult , Aged , Alleles , Autoantibodies , Biomarkers , Female , Gene Expression Regulation , Genetic Predisposition to Disease , Humans , Lupus Erythematosus, Systemic/immunology , Male , Middle Aged , Myositis/immunology , Scleroderma, Systemic/immunology
2.
Clin Exp Rheumatol ; 34(1): 17-24, 2016.
Article in English | MEDLINE | ID: mdl-26574749

ABSTRACT

OBJECTIVES: The aim of this study was a large scale investigation of myositis-associated circulating miRNA molecules and also determination of expression of these candidate molecules in relation to clinical activity of myositis. METHODS: RNA, containing also miRNAs, was isolated from sera of 28 patients suffering from idiopathic inflammatory myopathies (IIM) and 16 healthy controls. Expression of miRNAs was determined using a miRNA microarray method. Statistical analysis of miRNA expression was carried out using Arraystar software. RESULTS: Our results showed 23 significantly differentially expressed miRNAs. Six miRNAs were differentially expressed in IIM compared to healthy controls. In dermatomyositis (DM) we found 3 and in polymyositis (PM) 6 differentially expressed miRNAs compared to controls. Three miRNAs were up-regulated in patients with highly active disease compared to patients with low disease activity. Furthermore, we found 26 significantly differentially expressed miRNAs in SLE patients compared to IIM, DM and PM patients. CONCLUSIONS: This is the first study that comprehensively describes expression levels of circulating miRNAs in serum of patients suffering from IIM. It can be expected that some of these deregulated miRNA molecules are involved in aetiology of IIM and may potentially serve as molecular markers for IIM development or for monitoring of disease activity.


Subject(s)
Dermatomyositis/genetics , Gene Expression Profiling/methods , MicroRNAs/genetics , Oligonucleotide Array Sequence Analysis , Adult , Case-Control Studies , Dermatomyositis/blood , Female , Gene Expression Regulation , Genetic Markers , Genetic Predisposition to Disease , Humans , Male , MicroRNAs/blood , Middle Aged , Phenotype , Predictive Value of Tests , Severity of Illness Index , Software
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