Division of Microbiology, Department of Infectious Diseases, Faculty of Medicine, University of Miyazaki, 5200 Kihara, Kiyotake-cho, Miyazaki, 889-1692, Japan.
Sci Rep. 2022 May 13;12(1):7923. doi: 10.1038/s41598-022-12049-z.
Each prion strain has its own characteristics and the efficacy of anti-prion drugs varies. Screening of prion disease therapeutics is typically evaluated by measuring amounts of protease-resistant prion protein (PrP-res). However, it remains unclear whether such measurements correlate with seeding activity, which is evaluated by real-time quaking-induced conversion (RT-QuIC). In this study, the effects of anti-prion compounds pentosan polysulfate (PPS), Congo red, and alprenolol were measured in N2a58 cells infected with Fukuoka-1 (FK1) or 22L strain. The compounds abolished PrP-res and seeding activity, except for N2a58/FK1 treated with PPS. Interestingly, the seeding activity of N2a58/FK1, which was reduced in the presence of PPS, was not lost and remained at low levels. However, upon removal of PPS, both were gradually restored to their original levels. These results indicate that low-level persistent prion infection keeping measurable seeding activity is induced by PPS in a strain-dependent manner. Furthermore, for protein misfolding cyclic amplification (PMCA), the anti-prion effect of PPS decreased in FK1 compared to 22L, suggesting that the differences occur at the level of the direct conversion. Our findings demonstrate that the advantages of RT-QuIC and PMCA can be exploited for more accurate assessment of therapeutic drug screening, reflecting strain differences.
每种朊病毒株都有其自身的特点,抗朊病毒药物的疗效也各不相同。抗朊病毒药物的筛选通常通过测量蛋白酶抗性朊病毒蛋白(PrP-res)的量来评估。然而,目前尚不清楚这些测量结果是否与种子活性相关,种子活性通过实时抖动诱导转化(RT-QuIC)进行评估。在这项研究中,在感染了福冈-1(FK1)或 22L 株的 N2a58 细胞中测量了抗朊病毒化合物戊聚糖多硫酸酯(PPS)、刚果红和阿普洛尔的作用。除了用 PPS 处理的 N2a58/FK1 之外,这些化合物均能消除 PrP-res 和种子活性。有趣的是,在用 PPS 处理后,N2a58/FK1 的种子活性减少,但并未丧失,仍保持在较低水平。然而,当 PPS 被去除时,两者均逐渐恢复到原来的水平。这些结果表明,PPS 以依赖于菌株的方式诱导低水平持续的朊病毒感染,保持可测量的种子活性。此外,对于蛋白质错误折叠循环扩增(PMCA),与 22L 相比,PPS 对 FK1 的抗朊病毒作用降低,这表明差异发生在直接转化的水平上。我们的研究结果表明,可以利用 RT-QuIC 和 PMCA 的优势,更准确地评估治疗药物筛选,反映菌株差异。