Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/42472
Title: Electrochemical Detection of Plasma Immunoglobulin as a Biomarker for Alzheimer's Disease
Authors: Garyfallou, Goulielmos-Zois
Ketebu, Orlando
Şahin, Samet
Mukaetova-Ladinska, Elizabeth B.
Catt, Michael
Yu, Eileen Hao
First Published: 27-Oct-2017
Publisher: MDPI
Citation: Sensors, 2017, 17 (11), 2464
Abstract: The clinical diagnosis and treatment of Alzheimer's disease (AD) represent a challenge to clinicians due to the variability of clinical symptomatology as well as the unavailability of reliable diagnostic tests. In this study, the development of a novel electrochemical assay and its potential to detect peripheral blood biomarkers to diagnose AD using plasma immunoglobulins is investigated. The immunosensor employs a gold electrode as the immobilizing substrate, albumin depleted plasma immunoglobulin as the biomarker, and polyclonal rabbit Anti-human immunoglobulin (against IgA, IgG, IgM) as the receptor for plasma conjugation. The assay showed good response, sensitivity and reproducibility in differentiating plasma immunoglobulin from AD and control subjects down to 10-9 dilutions of plasma immunoglobulin representing plasma content concentrations in the pg mL-1 range. The newly developed assay is highly sensitive, less time consuming, easy to handle, can be easily modified to detect other dementia-related biomarkers in blood samples, and can be easily integrated into portable devices.
DOI Link: 10.3390/s17112464
eISSN: 1424-8220
Links: http://www.mdpi.com/1424-8220/17/11/2464
http://hdl.handle.net/2381/42472
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © the authors, 2017. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Appears in Collections:Published Articles, Dept. of Neuroscience, Psychology and Behaviour

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