Chmelyuk Nelly S, Nikitin Aleksey A, Vadekhina Veronika V, Mitkevich Vladimir A, Abakumov Maxim A
Department of Medical Nanobiotechnology, Pirogov Russian National Research Medical University, Ostrovitianov Street, 1, 117997 Moscow, Russia.
Laboratory of Biomedical Nanomaterials, National Research Technological University "MISIS", Leninsky Prospekt, 4, 119049 Moscow, Russia.
Pharmaceutics. 2024 Oct 29;16(11):1395. doi: 10.3390/pharmaceutics16111395.
The presence of beta-amyloid plaques is a part of the pathogenesis of Alzheimer's disease, but there is currently no universally accepted method for magnetic resonance (MR) imaging of the disease. However, it is known that magnetic nanoparticles (MNPs) can improve the T2 contrast in MR images of various targets. : We used cubic MNPs, which were produced by thermal decomposition and then it was covalently bonded to a modified fluorescently labeled tetrapeptide, HAEE-Cy5, for visualizing beta-amyloid plaques. The interaction of MNPs-HAEE-Cy5 and beta-amyloid was determinate by confocal microscopy using SH-SY5Y cell line. MNPs exhibit relatively high relaxivity (approximately 200 mMs), which is crucial for enhancing target visibility in MR imaging. HAEE provides targeted delivery of MNPs by specifically interacting with beta-amyloid, while the fluorescent label Cy5 enables monitoring the efficacy of the interaction through confocal microscopy. The MNPs modified with HAEE-Cy5 demonstrated excellent binding to beta-amyloid plaques in vitro, as shown by experiments on the SH-SY5Y cell line. These results suggest that the proposed method has potential for use in future MR imaging studies of Alzheimer's disease.
β-淀粉样蛋白斑块的存在是阿尔茨海默病发病机制的一部分，但目前尚无普遍接受的该疾病磁共振（MR）成像方法。然而，已知磁性纳米颗粒（MNP）可改善各种目标在MR图像中的T2对比度。我们使用通过热分解制备的立方MNP，然后将其与修饰的荧光标记四肽HAEE-Cy5共价结合，以可视化β-淀粉样蛋白斑块。使用SH-SY5Y细胞系通过共聚焦显微镜确定MNP-HAEE-Cy5与β-淀粉样蛋白的相互作用。MNP表现出相对较高的弛豫率（约200 mM/s），这对于增强MR成像中目标的可见性至关重要。HAEE通过与β-淀粉样蛋白特异性相互作用提供MNP的靶向递送，而荧光标记Cy5能够通过共聚焦显微镜监测相互作用的效果。如在SH-SY5Y细胞系上进行的实验所示，用HAEE-Cy5修饰的MNP在体外对β-淀粉样蛋白斑块表现出优异的结合能力。这些结果表明，所提出的方法在未来阿尔茨海默病的MR成像研究中具有应用潜力。
