Orrú Christina D, Favole Alessandra, Corona Cristiano, Mazza Maria, Manca Matteo, Groveman Bradley R, Hughson Andrew G, Acutis Pier Luigi, Caramelli Maria, Zanusso Gianluigi, Casalone Cristina, Caughey Byron
Rocky Mountain Laboratories, National Institute for Allergy and Infectious Diseases, National Institutes of Health, Hamilton, Montana, USA.
National Reference Center for TSE, Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Turin, Italy.
J Clin Microbiol. 2015 Apr;53(4):1115-20. doi: 10.1128/JCM.02906-14. Epub 2015 Jan 21.
Statutory surveillance of bovine spongiform encephalopathy (BSE) indicates that cattle are susceptible to both classical BSE (C-BSE) and atypical forms of BSE. Atypical forms of BSE appear to be sporadic and thus may never be eradicated. A major challenge for prion surveillance is the lack of sufficiently practical and sensitive tests for routine BSE detection and strain discrimination. The real-time quaking-induced conversion (RT-QuIC) test, which is based on prion-seeded fibrillization of recombinant prion protein (rPrPSen), is known to be highly specific and sensitive for the detection of multiple human and animal prion diseases but not BSE. Here, we tested brain tissue from cattle affected by C-BSE and atypical L-type bovine spongiform encephalopathy (L-type BSE or L-BSE) with the RT-QuIC assay and found that both BSE forms can be detected and distinguished using particular rPrPSen substrates. Specifically, L-BSE was detected using multiple rPrPSen substrates, while C-BSE was much more selective. This substrate-based approach suggests a diagnostic strategy for specific, sensitive, and rapid detection and discrimination of at least some BSE forms.
牛海绵状脑病(BSE)的法定监测表明,牛对经典型BSE(C-BSE)和非典型BSE均易感。非典型BSE似乎是散发性的,因此可能永远无法根除。朊病毒监测面临的一个主要挑战是缺乏足够实用且灵敏的检测方法用于常规BSE检测和毒株鉴别。实时震颤诱导转化(RT-QuIC)检测基于重组朊病毒蛋白(rPrPSen)的朊病毒引发的纤维化,已知对多种人类和动物朊病毒疾病的检测具有高度特异性和灵敏性,但对BSE无效。在此,我们用RT-QuIC检测法检测了受C-BSE和非典型L型牛海绵状脑病(L型BSE或L-BSE)影响的牛的脑组织,发现使用特定的rPrPSen底物可以检测和区分这两种BSE形式。具体而言,使用多种rPrPSen底物可检测到L-BSE,而C-BSE的选择性更强。这种基于底物的方法为至少某些BSE形式的特异性、灵敏性和快速检测及鉴别提出了一种诊断策略。