Ye Ke, Shi Dawei, Zhang Zhigao, Bian Lun, Li Zhaoyue, Liu Tiancai, He Chunhui, Xu Sihong, Wu Yingsong, Lin Guanfeng
Key Laboratory of Antibody Engineering of Guangdong Higher Education Institutes, Institute of Antibody Engineering, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China.
Division II of In Vitro Diagnostics for Infectious Diseases, Institute for In Vitro Diagnostics Control, National Institutes for Food and Drug Control, Beijing, China.
Vaccine. 2021 Dec 17;39(51):7470-7476. doi: 10.1016/j.vaccine.2021.10.060. Epub 2021 Nov 20.
Currently, quality control of glycoprotein in the human rabies vaccine is based on enzyme-linked immunosorbent assay (ELISA). However, ELISA does not match the needs of a modernised quality control system. For a long time, human rabies virus vaccine manufacturers have been devoted to seeking a detection platform that is sensitive, accurate, automatic, and feasible for practical applications. Therefore, our team invested major efforts into establishing a fully automated micromagnetic particle (MMP)-based chemiluminescence immunoassay (CLIA) platform. For vaccine quality control, MMP-coupled rabies virus glycoprotein monoclonal antibodies (S037) were used to capture the rabies virus. Another rabies virus glycoprotein antibody (S053) labelled with acridinium ester was added as a signal tracer. After pretreating the vaccine sample, the entire analysis was performed using a fully automated machine, which had a limited detection time (only 30 min) and eliminated manual error. Multiple experiments have identified the optimal conditions allowing valid and reliable assessment of vaccine potency. The CLIA platform has exhibited merits in terms of speed, robustness, high sensitivity (with a minimum detection value of 0.45 mIU/mL), considerable accuracy, and a wide linear range of detection (9.4-1200 mIU/mL). Furthermore, the results showed that the CLIA platform is consistent with the National Institutes of Health test and time-resolved fluorescent immunoassay (TRFIA) in quantitative analysis, and had a better analytic performance than TRFIA. Therefore, the CLIA platform presented here may be important for application in modern vaccine quality control.
目前,人用狂犬病疫苗中糖蛋白的质量控制基于酶联免疫吸附测定(ELISA)。然而,ELISA无法满足现代化质量控制系统的需求。长期以来,人用狂犬病病毒疫苗制造商一直致力于寻找一种灵敏、准确、自动化且适用于实际应用的检测平台。因此,我们的团队投入了大量精力来建立一个基于微磁颗粒(MMP)的全自动化学发光免疫分析(CLIA)平台。对于疫苗质量控制,使用与MMP偶联的狂犬病病毒糖蛋白单克隆抗体(S037)来捕获狂犬病病毒。添加另一种用吖啶酯标记的狂犬病病毒糖蛋白抗体(S053)作为信号示踪剂。对疫苗样品进行预处理后,使用全自动仪器进行整个分析,该仪器检测时间有限(仅30分钟),并消除了人为误差。多项实验确定了能够有效且可靠地评估疫苗效力的最佳条件。CLIA平台在速度、稳健性、高灵敏度(最低检测值为0.45 mIU/mL)、相当高的准确性以及宽检测线性范围(9.4 - 1200 mIU/mL)方面展现出优势。此外,结果表明CLIA平台在定量分析中与美国国立卫生研究院检测及时间分辨荧光免疫分析(TRFIA)一致,并且分析性能优于TRFIA。因此,本文介绍的CLIA平台可能对现代疫苗质量控制的应用具有重要意义。