A fingerprint of amyloid plaques in a bitransgenic animal model of Alzheimer's disease obtained by statistical unmixing analysis of hyperspectral Raman data (original) (raw)

* Corresponding authors

a Departamento de Física, ICEx, UFMG, Belo Horizonte, MG, Brazil
E-mail: adojorio@fisica.ufmg.br

b Programa de Pós-Graduação em Engenharia Elétrica, UFMG, Belo Horizonte, MG, Brazil

c Divisão de Metrologia de Materiais, Instituto Nacional de Metrologia Qualidade e Tecnologia (Inmetro), Duque de Caxias, RJ, Brazil

d Departamento de Saúde Mental-Faculdade de Medicina, UFMG, Belo Horizonte, MG, Brazil

e Instituto de Física, UFU, Uberlândia, MG, Brazil

f Departamento de Oftalmologia, Faculdade de Medicina, HC/UFMG, Belo Horizonte, MG, Brazil

g Departamento de Bioquímica e Imunologia, UFMG, CEP 30161-70 Belo Horizonte, Minas Gerais, Brazil

Abstract

The global prevalence of Alzheimer's disease (AD) points to endemic levels, especially considering the increase of average life expectancy worldwide. AD diagnosis based on early biomarkers and better knowledge of related pathophysiology are both crucial in the search for medical interventions that are able to modify AD progression. In this study we used unsupervised spectral unmixing statistical techniques to identify the vibrational spectral signature of amyloid β aggregation in neural tissues, as early biomarkers of AD in an animal model. We analyzed spectral images composed of a total of 55 051 Raman spectra obtained from the frontal cortex and hippocampus of five bitransgenic APPswePS1ΔE9 mice, and colocalized amyloid β plaques by other fluorescence techniques. The Raman signatures provided a multifrequency fingerprint consistent with the results of synthesized amyloid β fibrils. The fingerprint obtained from unmixed analysis in neural tissues is shown to provide a detailed image of amyloid plaques in the brain, with the potential to be used as biomarkers for non-invasive early diagnosis and pathophysiology studies in AD on the retina.

Graphical abstract: A fingerprint of amyloid plaques in a bitransgenic animal model of Alzheimer's disease obtained by statistical unmixing analysis of hyperspectral Raman data

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Article information

DOI

https://doi.org/10.1039/C9AN01631G

Article type

Paper

Submitted

23 Aug 2019

Accepted

13 Oct 2019

First published

14 Oct 2019

Download Citation

Analyst, 2019,144, 7049-7056

Permissions

A fingerprint of amyloid plaques in a bitransgenic animal model of Alzheimer's disease obtained by statistical unmixing analysis of hyperspectral Raman data

E. A. Fonseca, L. Lafetá, R. Cunha, H. Miranda, J. Campos, H. G. Medeiros, M. A. Romano-Silva, R. A. Silva, A. S. Barbosa, R. P. Vieira, L. M. Malard and A. Jorio,Analyst, 2019, 144, 7049DOI: 10.1039/C9AN01631G

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