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Biochemical Characterization of Mouse Retina of an Alzheimer’s Disease Model by Raman Spectroscopy
ACS Chemical Neuroscience ( IF 4.1 ) Pub Date : 2020-09-29 , DOI: 10.1021/acschemneuro.0c00420
Clara Stiebing 1 , Izabella J Jahn 1 , Michael Schmitt 2 , Nanda Keijzer 3 , Robert Kleemann 3 , Amanda J Kiliaan 4 , Wolfgang Drexler 5 , Rainer A Leitgeb 5 , Jürgen Popp 1, 2
Affiliation  

The presence of biomarkers characteristic for Alzheimer’s disease in the retina is a controversial topic. Raman spectroscopy offers information on the biochemical composition of tissues. Thus, it could give valuable insight into the diagnostic value of retinal analysis. Within the present study, retinas of a double transgenic mouse model, that expresses a chimeric mouse/human amyloid precursor protein and a mutant form of human presenilin 1, and corresponding control group were subjected to ex vivo Raman imaging. The Raman data recorded on cross sections of whole eyes highlight the layered structure of the retina in a label-free manner. Based on the Raman information obtained from en face mounted retina samples, a discrimination between healthy and Alzheimer’s disease retinal tissue can be done with an accuracy of 85.9%. For this a partial least squares-linear discriminant analysis was applied. Therefore, although no macromolecular changes in form of, i.e., amyloid beta plaques, can be noticed based on Raman spectroscopy, subtle biochemical changes happening in the retina could lead to Alzheimer’s disease identification.

中文翻译:

拉曼光谱法对阿尔茨海默病模型小鼠视网膜的生化特征

视网膜中阿尔茨海默氏病特征性生物标志物的存在是一个有争议的话题。拉曼光谱提供有关组织生化成分的信息。因此,它可以为视网膜分析的诊断价值提供有价值的见解。在本研究中,对表达嵌合小鼠/人淀粉样蛋白前体蛋白和人早老素1突变体形式的双转基因小鼠模型的视网膜以及相应的对照组进行离体拉曼成像。记录在整个眼睛横截面上的拉曼数据以无标签的方式突出了视网膜的分层结构。根据从恩面获得的拉曼信息如果安装了视网膜样本,则可以以85.9%的准确度对健康和阿尔茨海默氏病视网膜组织进行区分。为此,应用了部分最小二乘线性判别分析。因此,虽然在,形式没有变化大分子,β淀粉样斑块,可基于拉曼光谱注意到,微妙的生化改变视网膜发生有可能导致阿尔茨海默氏病鉴别。
更新日期:2020-10-21
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