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  5. Antigen–antibody dissociation in Alzheimer disease: a novel approach to diagnosis

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Article
en
2008

Antigen–antibody dissociation in Alzheimer disease: a novel approach to diagnosis

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0 Files

en
2008
Vol 106 (3)
Vol. 106
DOI: 10.1111/j.1471-4159.2008.05477.x

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George Perry
George Perry

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Katarzyna Gustaw
Matthew R. Garrett
Hyoung‐gon Lee
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Abstract

Abstract With the ever‐increasing population of aged individuals at risk of developing Alzheimer’s disease (AD), there is an urgent need for a sensitive, specific, non‐invasive, and diagnostic standard. The majority of efforts have focused on auto‐antibodies against amyloid‐β (Aβ) protein, both as a potential treatment, and a reliable biomarker of AD pathology. Naturally occurring antibodies against Aβ are found in the CSF and plasma of patients with AD as well as healthy control subjects. To date, differences between diseased and control subjects have been highly variable. However, some of the antibody will be in preformed antigen–antibody complexes and the extent and nature of such complexes may provide a potential explanation for the variable results reported in human studies. Thus, measuring total amounts of antigen or antibody following unmasking is critical. Here, using a technique for dissociating antibody–antigen complexes, we found significant differences in serum antibodies to Aβ between AD and aged‐matched control subjects. While the current study demonstrates the relevance of measuring total antibody, bound and unbound, against Aβ in AD, this technique may be applicable to diseases such as acquired immune deficiency syndrome and hepatitis B where determination of antigen and antibody levels are important for disease diagnosis and assessing disease progression.

How to cite this publication

Katarzyna Gustaw, Matthew R. Garrett, Hyoung‐gon Lee, Rudy J. Castellani, Michael G. Zagorski, A. Prakasam, Sandra L. Siedlak, Xiongwei Zhu, George Perry, Robert B. Petersen, Robert P. Friedland, Mark A. Smith (2008). Antigen–antibody dissociation in Alzheimer disease: a novel approach to diagnosis. , 106(3), DOI: https://doi.org/10.1111/j.1471-4159.2008.05477.x.

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Publication Details

Type

Article

Year

2008

Authors

12

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1111/j.1471-4159.2008.05477.x

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