Gastaldi Matteo, Scaranzin Silvia, Jarius Sven, Wildeman Brigitte, Zardini Elisabetta, Mallucci Giulia, Rigoni Eleonora, Vegezzi Elisa, Foiadelli Thomas, Savasta Salvatore, Banfi Paola, Versino Maurizio, Benedetti Luana, Novi Giovanni, Mancardi Margherita Maria, Giacomini Thea, Annovazzi Pietro, Baroncini Damiano, Ferraro Diana, Lampasona Vito, Reindl Markus, Waters Patrick, Franciotta Diego
Neuroimmunology Laboratory, IRCCS Mondino Foundation, Pavia, Italy.
Neuro-Oncology and Neuroinflammation Unit, IRCCS Mondino Foundation, Pavia, Italy.
J Neurol. 2020 Dec;267(12):3555-3564. doi: 10.1007/s00415-020-10024-0. Epub 2020 Jul 4.
The detection of antibodies to myelin oligodendrocyte glycoprotein (MOG) is fundamental for the identification of MOG antibody-associated disorders (MOGAD), and the differential diagnosis of acquired demyelinating syndromes of the CNS, among which multiple sclerosis (MS). We compared the diagnostic performance of four cell-based assays (CBAs) for their detection.
Consecutive sera from 204 patients with 'possible MOGAD' (55), MS (112), and other neurological disorders (OND, 37) were tested for MOG-IgG with a live-CBA with anti-heavy-and-light chain secondary-antibody (LCBA-IgG), and a live-CBA for IgG (LCBA-IgG). A subgroup of 71 patients was additionally tested with a live-CBA with anti-Fcγ secondary-antibody (LCBA-IgG), and a commercial fixed-CBA with anti-Fcγ secondary-antibody (FCBA-IgG) RESULTS: Fifty-seven/204 patients (27.9%) were MOG-IgG-positive. Sensitivity was 89.1% (CI:77.8-95.9) and specificity 93.3% (CI:88.0-96.7) for LCBA-IgG, and 74.6% (CI:61.0-85.3) and 100% (CI:97.6-100) for LCBA-IgG. Eighteen of 57 (31%) samples showed discrepant results (all negative on LCBA-IgG); of these, three with 'possible MOGAD' showed high-titer MOG-IgG (≥ 1:640), and positivity for MOG-IgG, whereas 15/18 had low-titer MOG-IgG (1:160/1:320) and mixed diagnoses (5 'possible MOGAD', 6 MS, 4 OND). In the subgroup analysis, sensitivity was 92.3% (CI:79.1-98.4) and specificity 97.0% (CI:83.8-99.9) for LCBA-IgG, and 87.2% (CI:72.6-95.7) and 97.0% (CI:83.8-99.9) for FCBA-IgG.
LCBA-IgG showed the highest specificity but can miss MOG-IgG reactivities, whose meaning warrants further investigations. Titration of samples tested with LCBA-IgG/ IgG is important for meaningful interpretation of the results. In the subgroup analysis, LCBA-IgG yielded the highest accuracy, and FCBA-IgG good specificity, but it was at risk of false-negative results.
检测髓鞘少突胶质细胞糖蛋白(MOG)抗体是识别MOG抗体相关疾病(MOGAD)以及中枢神经系统获得性脱髓鞘综合征(包括多发性硬化症(MS))鉴别诊断的基础。我们比较了四种基于细胞的检测方法(CBAs)在检测MOG抗体方面的诊断性能。
对204例“可能患有MOGAD”(55例)、MS(112例)和其他神经系统疾病(OND,37例)患者的连续血清样本,采用抗重链和轻链二抗的活细胞CBA(LCBA-IgG)以及IgG活细胞CBA(LCBA-IgG)检测MOG-IgG。对71例患者的亚组样本,额外采用抗Fcγ二抗的活细胞CBA(LCBA-IgG)以及抗Fcγ二抗的商业固定细胞CBA(FCBA-IgG)进行检测。结果:204例患者中有57例(27.9%)MOG-IgG呈阳性。LCBA-IgG的敏感性为89.1%(CI:77.8 - 95.9),特异性为93.3%(CI:88.0 - 96.7);LCBA-IgG的敏感性为74.6%(CI:61.0 - 85.3),特异性为100%(CI:97.6 - 100)。57例样本中有18例(31%)结果不一致(LCBA-IgG检测均为阴性);其中,3例“可能患有MOGAD”的样本显示高滴度MOG-IgG(≥1:640),且MOG-IgG呈阳性,而18例中有15例MOG-IgG滴度较低(1:160/1:320)且诊断结果混合(5例“可能患有MOGAD”,6例MS,4例OND)。在亚组分析中,LCBA-IgG的敏感性为92.3%(CI:79.1 - 98.4),特异性为97.0%(CI:83.8 - 99.9);FCBA-IgG的敏感性为87.2%(CI:72.6 - 95.7),特异性为97.0%(CI:83.8 - 99.9)。
LCBA-IgG显示出最高的特异性,但可能遗漏MOG-IgG反应性,其意义有待进一步研究。对用LCBA-IgG/IgG检测的样本进行滴定对于结果的有意义解释很重要。在亚组分析中,LCBA-IgG准确性最高,FCBA-IgG特异性良好,但存在假阴性结果的风险。