Comparative qualitative and quantitative analysis of scleroderma (systemic sclerosis) serologic immunoassays

被引:6
|
作者
Picha, Lefkothea [1 ]
Pakas, Ioannis [1 ]
Guialis, Apostolia [2 ]
Moutsopoulos, Haralampos M. [1 ]
Vlachoyiannopoulos, Panayiotis G. [1 ]
机构
[1] Natl Tech Univ Athens, Sch Med, Dept Pathophysiol, Athens 11527, Greece
[2] Natl Hellen Res Fdn, Inst Biol Res & Biotechnol, Athens, Greece
关键词
Antigenic source; Autoantibodies; Immunoblot; Systemic sclerosis (scleroderma);
D O I
10.1016/j.jaut.2008.07.001
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
The heterogeneity of autoantibody specificities occurring in sera from patients with systemic sclerosis (SSc) raised the necessity of developing various methodologies for their detection. A cohort of 150 SSc patients were selected and tested by Indirect Immunofluorescence (IIF), Counterimmunoelectrophoresis (CIE), Immunoblot (IB) using various extracts as antigenic source and RNA precipitation. By preparing a nuclear (IB-nuclear) and a metaphase chromosomal-enriched extract (IB-MC-pellet) from HeLa cells as well as a nucleolar (IB-nucleolar) and a histone (IB-histone) extract from rat liver nuclei, we assessed their sensitivity and specificity for anti-Topo 1, anti-U3RNP, anti-H-1, anti-snRNPs antibodies and ACA. IB-nuclear revealed the highest frequency of anti-Topo I antibodies, while CIE, IB-nucleolar and IB-MC-pellet, when compared to IB-nuclear showed a sensitivity of 89%, 87% and 95%, respectively. IB-MC-pellet was unique for ACA recognition, while IB-nucleolar and IB-MC-pellet showed excellent sensitivity for anti-U3RNP and anti-H, antibody detection. We conclude that IB-nuclear is a highly sensitive system for anti Topo I antibodies determination, but CIE reveals a good sensitivity to be used as a first screening test. IB-nucleolar or IB-MC-pellet are important techniques to detect the variety of antibodies to nucleolus and chromatin-related constituents. A novel specificity against a 28 kD nucleolar protein, non-associated with RNAs is also presented. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:166 / 174
页数:9
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