Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan; Department of Neurology, Dongzhimen Affiliated Hospital, Beijing University of Chinese Medicine, Beijing, China.
Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan.
J Neuroimmunol. 2019 Nov 15;336:577021. doi: 10.1016/j.jneuroim.2019.577021. Epub 2019 Aug 21.
To illustrate the accuracy of the fluorescence-activated cell sorting cell-based assay (FACS-CBA) and to detect anti-myelin oligodendrocyte glycoprotein (MOG) antibodies and ascertain the optimal method for positivity judgement, referencing the findings of microscopic CBA. We tested serum anti-MOG antibodies in 57 patients with central nervous system inflammatory disorders (CIDs), 30 healthy controls (HCs), and 63 disease controls (DCs) by FACS-CBA. To assess the diagnostic performance of 2 positive judgement methods for FACS-CBA, we evaluated the ratio of positive cells (RPC) and median fluorescence intensity (MFI); samples from 57 CIDs and 3 antiaquaporin-4 antibody-positive patients whose anti-MOG antibody levels were relatively high but negative by FACS-CBA were tested by microscopic CBA. Blinded to the RPC and MFI results, we classified the acquired dot plot into 3 patterns-"upright," "broadband," and "oblique"-as pattern analysis. The sample with the highest RPC in CIDs was subjected to serial dilution analysis. Finally, we analyzed the clinical and laboratory data of anti-MOG antibody-positive patients in the acute phase. Referencing results by microscopic CBA and receiver-operating characteristic curve analysis, the area under the curve, sensitivity, specificity, and cutoff value were 0.952, 92%, 94%, and 1.52 for RPC and 0.931, 79%, 94%, and 6.39 for MFI, respectively, suggesting the optimality of RPC for positive judgement. Titers by microscopic CBA analysis significantly correlated with RPC (P = .031). In the validation study, the positive rate of RPC for anti-MOG antibodies was 42.1% in CIDs, but 0% in HCs and DCs (both P < .001). In the pattern analysis, all anti-MOG antibody-positive patients but none of the HCs and DCs exhibited the "oblique" pattern. Serial dilution curve analysis fit a quaternary polymodal. FACS-CBA using RPC analysis for anti-MOG antibodies displayed relatively higher specificity, sensitivity, and semiquantitative property, indicating it could become another acceptable test to detect anti-MOG antibodies.
为了说明荧光激活细胞分选细胞测定法(FACS-CBA)的准确性,并检测抗髓鞘少突胶质细胞糖蛋白(MOG)抗体,确定阳性判断的最佳方法,我们参考了微观 CBA 的发现。我们通过 FACS-CBA 测试了 57 例中枢神经系统炎症性疾病(CIDs)患者、30 例健康对照(HCs)和 63 例疾病对照(DCs)的血清抗 MOG 抗体。为了评估 2 种 FACS-CBA 阳性判断方法的诊断性能,我们评估了阳性细胞比(RPC)和中荧光强度(MFI);57 例 CIDs 和 3 例抗水通道蛋白 4 抗体阳性患者的样本,这些患者的抗 MOG 抗体水平相对较高,但 FACS-CBA 为阴性,通过微观 CBA 进行了测试。在不了解 RPC 和 MFI 结果的情况下,我们将获得的点图分类为 3 种模式-“直立”、“宽带”和“倾斜”-作为模式分析。CIDs 中 RPC 最高的样本进行了系列稀释分析。最后,我们分析了急性期抗 MOG 抗体阳性患者的临床和实验室数据。参考微观 CBA 和受试者工作特征曲线分析的结果,RPC 的曲线下面积、灵敏度、特异性和截断值分别为 0.952、92%、94%和 1.52,MFI 分别为 0.931、79%、94%和 6.39,表明 RPC 用于阳性判断的最优性。微观 CBA 分析的滴度与 RPC 显著相关(P=0.031)。在验证研究中,RPC 对 CIDs 中抗 MOG 抗体的阳性率为 42.1%,而 HCs 和 DCs 均为 0%(均 P<0.001)。在模式分析中,所有抗 MOG 抗体阳性患者但无一例 HCs 和 DCs 表现出“倾斜”模式。系列稀释曲线分析符合四元多峰。使用 RPC 分析的 FACS-CBA 对抗 MOG 抗体显示出相对较高的特异性、灵敏度和半定量特性,表明它可能成为另一种可接受的检测抗 MOG 抗体的测试。