Raman spectroscopy: An emerging tool in neurodegenerative disease research and diagnosis
Raman spectroscopy: An emerging tool in neurodegenerative disease research and diagnosis
The pathogenesis underlining many neurodegenerative diseases remains incompletely understood. The lack of effective biomarkers and disease preventative medicine demands the development of new techniques to efficiently probe the mechanisms of disease and to detect early biomarkers predictive of disease onset. Raman spectroscopy is an established technique that allows the label-free fingerprinting and imaging of molecules based on their chemical constitution and structure. While analysis of isolated biological molecules has been widespread in the chemical community, applications of Raman spectroscopy to study clinically relevant biological species, disease pathogenesis, and diagnosis have been rapidly increasing since the past decade. The growing number of biomedical applications has shown the potential of Raman spectroscopy for detection of novel biomarkers that could enable the rapid and accurate screening of disease susceptibility and onset. Here we provide an overview of Raman spectroscopy and related techniques and their application to neurodegenerative diseases. We further discuss their potential utility in research, biomarker detection, and diagnosis. Challenges to routine use of Raman spectroscopy in the context of neuroscience research are also presented.
Alzheimer's, amyloid, coherent anti-Raman scattering, HUntington's, neurodegenerative disease, Parkinson's, Prion disease, proteinopathy, Raman optical activity, raman spectroscopy, resonance Raman Spectroscopy, stimulated raman scattering, surface enhanced raman spectroscopy
Devitt, George
088c46c0-9dcf-4c83-acfd-16c6c9d0ca88
Howard, Kelly
bb636793-f2f2-46f4-a438-bc7bef26360c
Mudher, Amrit
ce0ccb35-ac49-4b6c-92b4-8dd5e78ac119
Mahajan, Sumeet
b131f40a-479e-4432-b662-19d60d4069e9
Devitt, George
088c46c0-9dcf-4c83-acfd-16c6c9d0ca88
Howard, Kelly
bb636793-f2f2-46f4-a438-bc7bef26360c
Mudher, Amrit
ce0ccb35-ac49-4b6c-92b4-8dd5e78ac119
Mahajan, Sumeet
b131f40a-479e-4432-b662-19d60d4069e9
Devitt, George, Howard, Kelly, Mudher, Amrit and Mahajan, Sumeet
(2018)
Raman spectroscopy: An emerging tool in neurodegenerative disease research and diagnosis.
ACS Chemical Neuroscience.
(doi:10.1021/acschemneuro.7b00413).
Abstract
The pathogenesis underlining many neurodegenerative diseases remains incompletely understood. The lack of effective biomarkers and disease preventative medicine demands the development of new techniques to efficiently probe the mechanisms of disease and to detect early biomarkers predictive of disease onset. Raman spectroscopy is an established technique that allows the label-free fingerprinting and imaging of molecules based on their chemical constitution and structure. While analysis of isolated biological molecules has been widespread in the chemical community, applications of Raman spectroscopy to study clinically relevant biological species, disease pathogenesis, and diagnosis have been rapidly increasing since the past decade. The growing number of biomedical applications has shown the potential of Raman spectroscopy for detection of novel biomarkers that could enable the rapid and accurate screening of disease susceptibility and onset. Here we provide an overview of Raman spectroscopy and related techniques and their application to neurodegenerative diseases. We further discuss their potential utility in research, biomarker detection, and diagnosis. Challenges to routine use of Raman spectroscopy in the context of neuroscience research are also presented.
Text
ACS Neuroscience Review revised
- Accepted Manuscript
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Accepted/In Press date: 8 January 2018
e-pub ahead of print date: 8 January 2018
Keywords:
Alzheimer's, amyloid, coherent anti-Raman scattering, HUntington's, neurodegenerative disease, Parkinson's, Prion disease, proteinopathy, Raman optical activity, raman spectroscopy, resonance Raman Spectroscopy, stimulated raman scattering, surface enhanced raman spectroscopy
Identifiers
Local EPrints ID: 417838
URI: http://eprints.soton.ac.uk/id/eprint/417838
ISSN: 1948-7193
PURE UUID: d7c4811a-9bb8-46ba-aeaa-061fa084e93c
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Date deposited: 15 Feb 2018 17:30
Last modified: 16 Mar 2024 06:12
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Author:
Kelly Howard
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