Analytic and Clinical Validity of Myositis-Specific Antibodies by Line-Blot Immunoassay Is Essential

Author:

Tseng Chih-Wei,Satoh Minoru,Hasegawa Tomoko1,Tanaka Shin2,Chen Yi-Ming

Affiliation:

1. Clinical Nursing, University of Occupational and Environmental Health, Kitakyushu, Japan

2. Human, Information, and Life Sciences

Abstract

Objectives This study assessed the concordance between line blot (LB) and immunoprecipitation (IP) assays for detecting myositis-specific antibodies (MSAs) in idiopathic inflammatory myopathies (IIMs) and their association with IIM subtypes. Methods One hundred patients with IIM were enrolled, and MSA was detected using LB and IP. The IIM subtypes, including immune-mediated necrotizing myopathy–like, anti–tRNA synthetase syndrome–like, and clinically amyopathic dermatomyositis–like, were clinically diagnosed. The validity and reliability of the LB compared with the IP were evaluated. Optimal cutoff levels for LB were determined using various statistical methods including Cohen κ, Gwet's AC, diagnostic odds ratios, and receiver operating characteristic analysis. Results Line blot exhibited lower specificity and accuracy than IP in predicting IIM subtypes. Some MSAs performed better at higher LB cutoff values. Anti–signal recognition particle antibodies showed poor performance in predicting the immune-mediated necrotizing myopathy–like subtype using LB. Raising the cutoffs improved the reliability of anti–threonyl-tRNA synthetase and anti–signal recognition particle antibodies. Anti–histidyl-tRNA synthetase antibodies performed well at lower positivity, whereas diagnostic odds ratios increased for anti–transcription intermediary factor 1γ and anti–nuclear matrix protein 2 with higher cutoffs. Conclusions Inconsistencies between LB and IP have been observed in patients with IIM. Individual optimal cutoffs for MSA by LB correlating with IP were determined. Rheumatologists should consider the differences between LB and IP results when classifying IIM subtypes.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Rheumatology

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3