Quantitative detection of grey and white matter amyloid pathology using a combination of K114 and CRANAD-3 fluorescence

Background: Alzheimer's disease (AD) is a neurodegenerative disease that exacts a huge toll on the patient, the healthcare system and society in general. Abundance and morphology of protein aggregates such as amyloid β plaques and tau tangles, along with cortical atrophy and gliosis are used as...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Anastasiia A. Stepanchuk, Philip A. Barber, Tammaryn Lashley, Jeffrey T. Joseph, Peter K. Stys
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Amyloid fibrils Fluorescence Protein misfolding Fluorescent probes Spectral microscopy Alzheimer's Disease Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/f6a423df114e43899adf6730be8de750
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:f6a423df114e43899adf6730be8de750
record_format	dspace
spelling	oai:doaj.org-article:f6a423df114e43899adf6730be8de7502021-12-04T04:33:08ZQuantitative detection of grey and white matter amyloid pathology using a combination of K114 and CRANAD-3 fluorescence1095-953X10.1016/j.nbd.2021.105540https://doaj.org/article/f6a423df114e43899adf6730be8de7502021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S0969996121002898https://doaj.org/toc/1095-953XBackground: Alzheimer's disease (AD) is a neurodegenerative disease that exacts a huge toll on the patient, the healthcare system and society in general. Abundance and morphology of protein aggregates such as amyloid β plaques and tau tangles, along with cortical atrophy and gliosis are used as measures to assess the changes in the brain induced by the disease. Not all of these parameters have a direct correlation with cognitive decline. Studies have shown that only particular protein conformers can be the main drivers of disease progression, and conventional approaches are unable to distinguish different conformations of disease-relevant proteins. Methods and results: Using the fluorescent amyloid probes K114 and CRANAD-3 and spectral confocal microscopy, we examined formalin-fixed paraffin-embedded brain samples from different control and AD cases. Based on the emission spectra of the probes used in this study, we found that certain spectral signatures can be correlated with different aggregates formed by different proteins. The combination of spectral imaging and advanced image analysis tools allowed us to detect variability of protein deposits across the samples. Conclusion: Our proposed method offers a quicker and easier neuropathological assessment of tissue samples, as well as introducing an additional parameter by which protein aggregates can be discriminated.Anastasiia A. StepanchukPhilip A. BarberTammaryn LashleyJeffrey T. JosephPeter K. StysElsevierarticleAmyloid fibrilsFluorescenceProtein misfoldingFluorescent probesSpectral microscopyAlzheimer's DiseaseNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENNeurobiology of Disease, Vol 161, Iss , Pp 105540- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Amyloid fibrils Fluorescence Protein misfolding Fluorescent probes Spectral microscopy Alzheimer's Disease Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	Amyloid fibrils Fluorescence Protein misfolding Fluorescent probes Spectral microscopy Alzheimer's Disease Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Anastasiia A. Stepanchuk Philip A. Barber Tammaryn Lashley Jeffrey T. Joseph Peter K. Stys Quantitative detection of grey and white matter amyloid pathology using a combination of K114 and CRANAD-3 fluorescence
description	Background: Alzheimer's disease (AD) is a neurodegenerative disease that exacts a huge toll on the patient, the healthcare system and society in general. Abundance and morphology of protein aggregates such as amyloid β plaques and tau tangles, along with cortical atrophy and gliosis are used as measures to assess the changes in the brain induced by the disease. Not all of these parameters have a direct correlation with cognitive decline. Studies have shown that only particular protein conformers can be the main drivers of disease progression, and conventional approaches are unable to distinguish different conformations of disease-relevant proteins. Methods and results: Using the fluorescent amyloid probes K114 and CRANAD-3 and spectral confocal microscopy, we examined formalin-fixed paraffin-embedded brain samples from different control and AD cases. Based on the emission spectra of the probes used in this study, we found that certain spectral signatures can be correlated with different aggregates formed by different proteins. The combination of spectral imaging and advanced image analysis tools allowed us to detect variability of protein deposits across the samples. Conclusion: Our proposed method offers a quicker and easier neuropathological assessment of tissue samples, as well as introducing an additional parameter by which protein aggregates can be discriminated.
format	article
author	Anastasiia A. Stepanchuk Philip A. Barber Tammaryn Lashley Jeffrey T. Joseph Peter K. Stys
author_facet	Anastasiia A. Stepanchuk Philip A. Barber Tammaryn Lashley Jeffrey T. Joseph Peter K. Stys
author_sort	Anastasiia A. Stepanchuk
title	Quantitative detection of grey and white matter amyloid pathology using a combination of K114 and CRANAD-3 fluorescence
title_short	Quantitative detection of grey and white matter amyloid pathology using a combination of K114 and CRANAD-3 fluorescence
title_full	Quantitative detection of grey and white matter amyloid pathology using a combination of K114 and CRANAD-3 fluorescence
title_fullStr	Quantitative detection of grey and white matter amyloid pathology using a combination of K114 and CRANAD-3 fluorescence
title_full_unstemmed	Quantitative detection of grey and white matter amyloid pathology using a combination of K114 and CRANAD-3 fluorescence
title_sort	quantitative detection of grey and white matter amyloid pathology using a combination of k114 and cranad-3 fluorescence
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/f6a423df114e43899adf6730be8de750
work_keys_str_mv	AT anastasiiaastepanchuk quantitativedetectionofgreyandwhitematteramyloidpathologyusingacombinationofk114andcranad3fluorescence AT philipabarber quantitativedetectionofgreyandwhitematteramyloidpathologyusingacombinationofk114andcranad3fluorescence AT tammarynlashley quantitativedetectionofgreyandwhitematteramyloidpathologyusingacombinationofk114andcranad3fluorescence AT jeffreytjoseph quantitativedetectionofgreyandwhitematteramyloidpathologyusingacombinationofk114andcranad3fluorescence AT peterkstys quantitativedetectionofgreyandwhitematteramyloidpathologyusingacombinationofk114andcranad3fluorescence
_version_	1718373066559455232

Quantitative detection of grey and white matter amyloid pathology using a combination of K114 and CRANAD-3 fluorescence

Ejemplares similares