Literature DB >> 19819324

Dissociated amyloid-beta antibody levels as a serum biomarker for the progression of Alzheimer's disease: a population-based study.

Katarzyna A Gustaw-Rothenberg1, Sandra L Siedlak, David J Bonda, Alan Lerner, Massimo Tabaton, George Perry, Mark A Smith.   

Abstract

With an ever growing population of aged individuals who are at risk of developing Alzheimer disease (AD), there is an urgent need for a sensitive, specific, and preferably non-invasive diagnostic standard of disease progression. Mainstream thinking suggests that early intervention is key to maximizing the opportunity for a successful treatment regimen in AD and, as such, an early and accurate means of diagnosis is essential. In this study, we applied a recently described antibody-antigen dissociation technique to samples obtained as part of a population-based analysis of the prevalence of AD. Stratified sampling and random selection strategies were combined to obtain a representative population for screening of individuals older than 55 years. Serum antibodies to amyloid-beta (Abeta)(1-42) were measured before and after antigen dissociation. The difference between the two measurements was indicated as the dissociation delta (Delta). Our analyses showed that the levels of dissociated antibody in AD patients were always significantly different from controls and that levels of Abeta antibody after dissociation, but not those of non-dissociated antibody, correlated negatively (p<0.05) with both duration of the disease and age in the AD patients. Moreover, the change in concentration of Abeta antibody from pre- to post-dissociation (i.e., the dissociation Delta) directly reflected the progression of AD in terms of both time since diagnosis and age of the patients, with a lower dissociation Delta indicating a more advanced stage of AD. Ultimately, these data suggest that dissociated Abeta antibody levels are of significant diagnostic value at the onset of the neurodegenerative process and, thereafter, may be a useful biomarker for disease progression. Copyright 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19819324      PMCID: PMC2815174          DOI: 10.1016/j.exger.2009.10.003

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  29 in total

1.  Cerebrospinal fluid beta-amyloid(1-42) in Alzheimer disease: differences between early- and late-onset Alzheimer disease and stability during the course of disease.

Authors:  N Andreasen; C Hesse; P Davidsson; L Minthon; A Wallin; B Winblad; H Vanderstichele; E Vanmechelen; K Blennow
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2.  Formal education as an effect modifier of the relationship between Mini-Mental State Examination score and IADLs disability in the older population.

Authors:  J J Quesada; L Ferrucci; D Calvani; C Valente; B Salani; A Bavazzano
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3.  Plasma amyloid-beta concentrations in Alzheimer's disease: an alternative hypothesis.

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Journal:  Lancet Neurol       Date:  2006-12       Impact factor: 44.182

Review 4.  Cerebrospinal fluid protein biomarkers for Alzheimer's disease.

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5.  Amyloid beta-peptide is transported on lipoproteins and albumin in human plasma.

Authors:  A L Biere; B Ostaszewski; E R Stimson; B T Hyman; J E Maggio; D J Selkoe
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6.  Neuropathologic criteria for diagnosing Alzheimer disease in persons with pure dementia of Alzheimer type.

Authors:  Daniel W McKeel; Joseph L Price; J Philip Miller; Elizabeth A Grant; Chengjie Xiong; Leonard Berg; John C Morris
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Review 7.  Neuropathology of Alzheimer disease: pathognomonic but not pathogenic.

Authors:  Rudy J Castellani; Hyoung-Gon Lee; Xiongwei Zhu; Akihiko Nunomura; George Perry; Mark A Smith
Journal:  Acta Neuropathol       Date:  2006-04-27       Impact factor: 17.088

Review 8.  Vascular oxidative stress in Alzheimer disease.

Authors:  Xiongwei Zhu; Mark A Smith; Kazuhiro Honda; Gjumrakch Aliev; Paula I Moreira; Akihiko Nunomura; Gemma Casadesus; Peggy L R Harris; Sandra L Siedlak; George Perry
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9.  Neuropathological diagnostic criteria for Alzheimer's disease.

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10.  Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease.

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  15 in total

1.  Plasma amyloid-β levels and prognosis in incident dementia cases of the 3-City Study.

Authors:  Audrey Gabelle; Florence Richard; Laure-Anne Gutierrez; Susanna Schraen; Fleur Delva; Olivier Rouaud; Luc Buée; Jean-François Dartigues; Jacques Touchon; Jean-Charles Lambert; Claudine Berr
Journal:  J Alzheimers Dis       Date:  2013       Impact factor: 4.472

Review 2.  Biomarkers in Alzheimer's disease: past, present and future.

Authors:  Katarzyna Gustaw-Rothenberg; Alan Lerner; David J Bonda; Hyoung-gon Lee; Xiongwei Zhu; George Perry; Mark A Smith
Journal:  Biomark Med       Date:  2010-02       Impact factor: 2.851

Review 3.  Mitochondrial dynamics in Alzheimer's disease: opportunities for future treatment strategies.

Authors:  David J Bonda; Xinglong Wang; George Perry; Mark A Smith; Xiongwei Zhu
Journal:  Drugs Aging       Date:  2010-03-01       Impact factor: 3.923

Review 4.  The future of blood-based biomarkers for Alzheimer's disease.

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5.  Antigen-bound and free β-amyloid autoantibodies in serum of healthy adults.

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6.  ELISA measurement of specific non-antigen-bound antibodies to Aβ1-42 monomer and soluble oligomers in sera from Alzheimer's disease, mild cognitively impaired, and noncognitively impaired subjects.

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Review 7.  Identifying and validating biomarkers for Alzheimer's disease.

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8.  Increased Number of Plasma B Cells Producing Autoantibodies Against Aβ42 Protofibrils in Alzheimer's Disease.

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Review 9.  Autoantibodies in Alzheimer's disease: potential biomarkers, pathogenic roles, and therapeutic implications.

Authors:  Jianming Wu; Ling Li
Journal:  J Biomed Res       Date:  2016-01-02

10.  Increased levels of antigen-bound β-amyloid autoantibodies in serum and cerebrospinal fluid of Alzheimer's disease patients.

Authors:  Madalina Maftei; Franka Thurm; Cathrin Schnack; Hayrettin Tumani; Markus Otto; Thomas Elbert; Iris-Tatjana Kolassa; Michael Przybylski; Marilena Manea; Christine A F von Arnim
Journal:  PLoS One       Date:  2013-07-18       Impact factor: 3.240

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