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2017 ; 7
(1
): 15603
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Hyperspectral Raman imaging of neuritic plaques and neurofibrillary tangles in
brain tissue from Alzheimer s disease patients
#MMPMID29142266
Michael R
; Lenferink A
; Vrensen GFJM
; Gelpi E
; Barraquer RI
; Otto C
Sci Rep
2017[Nov]; 7
(1
): 15603
PMID29142266
show ga
Neuritic plaques and neurofibrillary tangles are crucial morphological criteria
for the definite diagnosis of Alzheimer's disease. We evaluated 12 unstained
frontal cortex and hippocampus samples from 3 brain donors with Alzheimer's
disease and 1 control with hyperspectral Raman microscopy on samples of
30?×?30?µm. Data matrices of 64?×?64 pixels were used to quantify different
tissue components including proteins, lipids, water and beta-sheets for imaging
at 0.47?µm spatial resolution. Hierarchical cluster analysis was performed to
visualize regions with high Raman spectral similarities. The Raman images of
proteins, lipids, water and beta-sheets matched with classical brain morphology.
Protein content was 2.0 times, the beta-sheet content 5.6 times and Raman
broad-band autofluorescence was 2.4 times higher inside the plaques and tangles
than in the surrounding tissue. The lipid content was practically equal inside
and outside. Broad-band autofluorescence showed some correlation with protein
content and a better correlation with beta-sheet content. Hyperspectral Raman
imaging combined with hierarchical cluster analysis allows for the identification
of neuritic plaques and neurofibrillary tangles in unstained, label-free slices
of human Alzheimer's disease brain tissue. It permits simultaneous quantification
and distinction of several tissue components such as proteins, lipids, water and
beta-sheets.