Evaluation of a multiplex ELISA for autoantibody profiling in patients with autoimmune connective tissue diseases.
Evaluation of a multiplex ELISA for autoantibody profiling in patients with autoimmune connective tissue diseases.
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DOI：
10.1155/2014/896787
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发表时间：
2014
影响因子：
4
通讯作者：
Durán Parejo P
中科院分区：
文献类型：
--
作者：
Caro Pérez A;Kumble S;Kumble KD;Alonso Cañizal MC;Jiménez Jiménez LM;Alonso Díez L;Durán Parejo P
自身抗体的免疫检测在自身免疫性结缔组织病(ACTD)患者的诊断和评估中具有重要意义。我们的目的是比较两种用于检测多种自身抗体的多重检测方法-INNO-LIA ANA和Gennova-PictArray ENA-ENA的特点及其在ACTD诊断中的临床应用价值。这些抗原包括SS-A/Ro(60和52)、SSB/La、Sm、Sm/RNP、CENP-B、Jo-1和Scl-70。对85例ACTD患者和80例血管炎、类风湿性关节炎、感染性疾病患者及健康体检者的储存血清进行了临床和实验室资料分析。两种方法的符合率在58%~99%之间(Cohen‘s kappa：0.21~0.71)，主要用于SSA和SSB。用这两种方法测量的特异性自身抗体在SSA、SSB和RNP/Sm中的频率变化更大。当使用INNO-LIA时，有更多的模糊结果。Gennova-PictArray的优化截止值使从对照组获得的样品的特异度超过99%。Gennova-PictArray的敏感性模式比Inno-LIA更准确，正如先前报道的研究所表明的那样。第三种方法可以用来确定这两种方法中哪一种更准确。
The performance of immunoassays for the detection of autoantibodies is of critical importance in the diagnosis and assessment of patients with autoimmune connective tissue diseases (ACTD). Our objective was to compare the features of two multiplexed assays—INNO-LIA ANA and Gennova-PictArray ENA ELISA—for measurement of multiple autoantibodies and their utility as a clinical tool in ACTD diagnosis. The antigens included SS-A/Ro (60 and 52), SSB/La, Sm, Sm/RNP, CENP-B, Jo-1, and Scl-70. Stored sera from 85 ACTD patients and 80 controls consisting of patients with vasculitis, rheumatoid arthritis and infectious diseases, as well as healthy subjects were analyzed jointly with clinical and laboratory data. Agreement between the two methods varied between 58 and 99% (Cohen's kappa: 0.21–0.71) mostly for SSA and SSB. The frequency of specific autoantibodies measured using the two methods was more variable for SSA, SSB, and RNP/Sm. There were a higher number of ambiguous results when using INNO-LIA. The optimized cut-off values of the Gennova-PictArray resulted in over 99% specificities in samples obtained from the control group. Sensitivity patterns were more accurate in Gennova-PictArray than in INNO-LIA, as suggested in previously reported studies. A third method could be applied to determine which of the two methods is more accurate.