Blood-based near-infrared spectroscopy for the rapid low-cost detection of Alzheimer’s disease

Paraskevaidi, Maria and Morais, Camilo and Freitas, Daniel and Lima, Kassio and Mann, David and Allsop, David and Martin-Hirsch, Pierre and Martin, Francis L. (2018) Blood-based near-infrared spectroscopy for the rapid low-cost detection of Alzheimer’s disease. Analyst, 143 (24). pp. 5959-5964. ISSN 0003-2654

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Abstract

Alzheimer’s disease (AD) is currently under-diagnosed and is predicted to affect a great number of people in the future, due to the unrestrained aging of the population. An accurate diagnosis of AD at an early stage, prior to (severe) symptomatology, is of crucial importance as it would allow the subscription of effective palliative care and/or enrolment into specific clinical trials. Today, new analytical methods and research initiatives are being developed for the on-time diagnosis of this devastating disorder. During the last decade, spectroscopic techniques have shown great promise in the robust diagnosis of various pathologies, including neurodegenerative diseases and dementia. In the current study, blood plasma samples were analysed with near-infrared (NIR) spectroscopy as a minimally-invasive method to distinguish patients with AD (n = 111) from non-demented volunteers (n = 173). After applying multivariate classification models (principal component analysis with quadratic discriminant analysis – PCA-QDA), AD individuals were correctly identified with 92.8% accuracy, 87.5% sensitivity and 96.1% specificity. Our results show the potential of NIR spectroscopy as a simple and cost-effective diagnostic tool for AD. Robust and early diagnosis may be a first step towards tackling this disease by allowing timely intervention.

Item Type:
Journal Article
Journal or Publication Title:
Analyst
Additional Information:
© Royal Society of Chemistry 2018
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1600/1603
Subjects:
ID Code:
127295
Deposited By:
Deposited On:
13 Dec 2018 14:40
Refereed?:
Yes
Published?:
Published
Last Modified:
19 Sep 2020 05:23