Hyperspectral imaging signatures detect amyloidopathy in Alzheimer's mouse retina well before onset of cognitive decline

高光谱成像特征可以在认知能力下降之前检测出阿尔茨海默病小鼠视网膜中的淀粉样变性

阅读:14
作者:Swati S More, Robert Vince

Abstract

Amyloidopathic disorders such as Alzheimer's disease present symptomology years after the entrenchment of amyloidogenic imbalance. The pathologic α-helix → β-strand conversion of amyloid β(1-42) and amyloid β(1-40) peptides causes neuronal death in the vicinity. Symptomology often presents only after significant neurodegeneration. This thus warrants early detection of amyloidopathy in Alzheimer's disease. Nonexistent modalities for direct identification and quantitation of soluble amyloid aggregates or (proto)fibrils forced us to undertake the development of a spectrophotometric technique to support ongoing drug design. Key requirements were independence from the need for extraneous staining, unambiguous amyloid aggregate detection, and minimal influence of interpretative errors. A Cytoviva instrument pivotal to this study captures scattering of light of visible-near-infrared (VNIR, 400-1000 nm) wavelengths within each pixel of the microscopic view field. We thus assembled a scattering intensity pattern database that provided "signatures" of amyloid aggregates. Comparison of unknown samples against this database enabled direct detection of amyloid aggregates. The technique was found useful for monitoring retinal and brain amyloidopathy in an ongoing preclinical anti-AD study, attesting to the technique's sensitivity and specificity. Interestingly, the technique was found applicable not just to excised brain tissue but also to isolated mouse retina. With the retina being heralded widely as a (diagnostic) extension of the CNS and retinal amyloidopathy occurring well before that in the brain, this development raises a possibility for the first direct retinal imaging diagnosis of early asymptomatic Alzheimer's disease.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。