Quantitative chemical imaging of amyloid-\beta{} plaques with Raman micro-spectroscopy in human Alzheimer's diseased brains
E.G. Lobanova, S.V. Lobanov, K. Triantafilou, W. Langbein, P. Borri

TL;DR
This study uses Raman micro-spectroscopy to quantitatively analyze chemical constituents in Alzheimer's disease brain tissues, revealing specific lipid and oxidative stress markers associated with amyloid plaques, aiding diagnosis and potential therapeutics.
Contribution
It introduces a quantitative, label-free Raman imaging method combined with non-negative matrix factorization to map chemical changes in AD brains, highlighting new biomarkers.
Findings
Increased lipid and oxidative stress markers in AD tissues
Co-localization of specific lipids and amyloid fibrils in plaques
Chemical markers distinguish AD from control brains
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder and the most common cause of dementia in the elderly. The extracellular accumulation of amyloid- (A) in senile plaques is a principal event in the pathogenesis and there is growing evidence that the dysregulation of lipid pathways is implicated in the disease, however the link between these two is still under study. In this work, we investigated human brain samples, from 11 AD patients and a control cohort of age-matched subjects without AD, using label-free chemically-specific Raman micro-spectroscopy. The collected image data were quantitatively analysed using an efficient quantitative unsupervised/partially supervised non-negative matrix factorization method, to retrieve the concentration maps and spectra of the samples' chemical constituents. Significant changes in lipid composition as well as increased…
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Taxonomy
TopicsSpectroscopy Techniques in Biomedical and Chemical Research · Spectroscopy and Chemometric Analyses · Cholinesterase and Neurodegenerative Diseases
