Issue 24, 2018

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

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.

Graphical abstract: Blood-based near-infrared spectroscopy for the rapid low-cost detection of Alzheimer's disease

Supplementary files

Article information

Article type
Paper
Submitted
30 jun 2018
Accepted
14 ago 2018
First published
15 ago 2018

Analyst, 2018,143, 5959-5964

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

M. Paraskevaidi, C. L. M. Morais, D. L. D. Freitas, K. M. G. Lima, D. M. A. Mann, D. Allsop, P. L. Martin-Hirsch and F. L. Martin, Analyst, 2018, 143, 5959 DOI: 10.1039/C8AN01205A

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements