Biochemical Characterization of Mouse Retina of an Alzheimer's Disease Model by Raman Spectroscopy.
Clara StiebingIzabella J JahnMichael SchmittNanda KeijzerRobert KleemannAmanda J KiliaanWolfgang DrexlerRainer A LeitgebJuergen PoppPublished in: ACS chemical neuroscience (2020)
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.
Keyphrases
- raman spectroscopy
- diabetic retinopathy
- optic nerve
- optical coherence tomography
- label free
- mouse model
- cognitive decline
- endothelial cells
- stem cells
- healthcare
- high resolution
- mass spectrometry
- mesenchymal stem cells
- machine learning
- health information
- gold nanoparticles
- small molecule
- data analysis
- wild type
- amino acid