Glasgow Biomedical Research Centre, College of Medical, Veterinary and Life Science, Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.
Eur J Neurol. 2013 Jan;20(1):62-70. doi: 10.1111/j.1468-1331.2012.03767.x. Epub 2012 Jun 22.
Measurement of anti-GM1 IgM antibodies in multifocal motor neuropathy (MMN) sera is confounded by relatively low sensitivity that limits clinical usefulness. Combinatorial assay methods, in which antibodies react to heteromeric complexes of two or more glycolipids, are being increasingly applied to this area of diagnostic testing.
A newly developed combinatorial glycoarray able to identify antibodies to 45 different heteromeric glycolipid complexes and their 10 individual glycolipid components was applied to a randomly selected population of 33 MMN cases and 57 normal or disease controls. Comparison with an enzyme-linked immunosorbent assay (ELISA) was conducted for selected single glycolipids and their complexes.
By ELISA, 22/33 MMN cases had detectable anti-GM1 IgM antibodies, whereas 19/33 MMN samples were positive for anti-GM1 antibodies by glycoarray. Analysis of variance (anova) revealed that of the 55 possible single glycolipids and their 1:1 complexes, antibodies to the GM1:galactocerebroside (GM1:GalC) complex were most significantly associated with MMN, returning 33/33 MMN samples as positive by glycoarray and 29/33 positive by ELISA. Regression analysis revealed a high correlation in absolute values between ELISA and glycoarray. Receiver operator characteristic analysis revealed insignificantly different diagnostic performance between the two methods. However, the glycoarray appeared to offer slightly improved sensitivity by identifying antibodies in four ELISA-negative samples.
The use of combinatorial glycoarray or ELISA increased the diagnostic sensitivity of anti-glycolipid antibody testing in this cohort of MMN cases, without significantly affecting specificity, and may be a useful assay modification for routine clinical screening.
多灶性运动神经病(MMN)血清中抗 GM1 IgM 抗体的测量受到相对较低的灵敏度的限制,限制了其临床应用。组合检测方法,其中抗体与两种或更多糖脂的异质复合物反应,越来越多地应用于该诊断检测领域。
一种新开发的组合糖脂阵列能够识别 45 种不同的异质糖脂复合物及其 10 种单独的糖脂成分,应用于随机选择的 33 例 MMN 病例和 57 例正常或疾病对照。对选定的单个糖脂及其复合物进行酶联免疫吸附测定(ELISA)比较。
通过 ELISA,33 例 MMN 病例中有 22 例可检测到抗 GM1 IgM 抗体,而 33 例 MMN 样本中有 19 例通过糖脂阵列检测到抗 GM1 抗体阳性。方差分析(anova)显示,在 55 种可能的单个糖脂及其 1:1 复合物中,抗 GM1:半乳糖脑苷脂(GM1:GalC)复合物与 MMN 最显著相关,糖脂阵列 33/33 MMN 样本均为阳性,ELISA 33/33 样本为阳性。回归分析显示 ELISA 和糖脂阵列之间的绝对值具有高度相关性。接收者操作特征分析显示两种方法的诊断性能无显著差异。然而,糖脂阵列通过识别四个 ELISA 阴性样本中的抗体,似乎略微提高了检测的灵敏度。
在该 MMN 病例队列中,使用组合糖脂阵列或 ELISA 提高了抗糖脂抗体检测的诊断灵敏度,而特异性无显著影响,可能是常规临床筛查的有用检测方法修改。