Fingerprint of amyloid plaque in a bitransgenic animal model of Alzheimer's disease obtained by statistical unmixing analysis of hyperspectral Raman data

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dc.creatorEmerson Alberto da Fonseca
dc.creatorRafael Pinto Vieira
dc.creatorLeandro Malard Moreira
dc.creatorAdo Jorio de Vasconcelos
dc.creatorLucas Lafetá Prates da Fonseca
dc.creatorRenan Souza Cunha
dc.creatorHudson Luiz Silva de Miranda
dc.creatorJoão Luiz Elias Campos
dc.creatorHelton Gonçalves de Medeiros
dc.creatorMarco Aurélio Romano-Silva
dc.creatorRaigna Augusta da Silva
dc.creatorAlexandre Simões Barbosa
dc.date.accessioned2022-08-01T19:20:56Z
dc.date.accessioned2025-09-08T23:40:17Z
dc.date.available2022-08-01T19:20:56Z
dc.date.issued2019
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais
dc.description.sponsorshipFINEP - Financiadora de Estudos e Projetos, Financiadora de Estudos e Projetos
dc.identifier.doihttps://doi.org/10.1039/c9an01631g
dc.identifier.issn1364-5528
dc.identifier.urihttps://hdl.handle.net/1843/43865
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofAnalyst
dc.rightsAcesso Restrito
dc.subjectDoença de Alzheimer
dc.subjectEspectroscopia de Raman
dc.subject.otherAlzheimer's disease
dc.subject.otherDiagnóstico precoce
dc.subject.otherRaman
dc.subject.otherRaman spectroscopy
dc.titleFingerprint of amyloid plaque in a bitransgenic animal model of Alzheimer's disease obtained by statistical unmixing analysis of hyperspectral Raman data
dc.typeArtigo de periódico
local.citation.epage7056
local.citation.spage7049
local.citation.volume144
local.description.resumoThe 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.
local.identifier.orcidhttps://orcid.org/0000-0002-7971-1686
local.identifier.orcidhttps://orcid.org/0000-0002-5978-2735
local.identifier.orcidhttps://orcid.org/0000-0002-1594-9142
local.identifier.orcidhttps://orcid.org/0000-0001-8830-8955
local.identifier.orcidhttps://orcid.org/0000-0002-9946-5224
local.identifier.orcidhttps://orcid.org/0000-0002-8071-0525
local.identifier.orcidhttps://orcid.org/0000-0002-6558-4639
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELÉTRICA
local.publisher.departmentICB - DEPARTAMENTO DE BIOQUÍMICA E IMUNOLOGIA
local.publisher.departmentICX - DEPARTAMENTO DE FÍSICA
local.publisher.departmentMED - DEPARTAMENTO DE SAÚDE MENTAL
local.publisher.initialsUFMG
local.url.externahttps://pubs.rsc.org/en/content/articlelanding/2019/an/c9an01631g

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