Literature DB >> 22801742

Blood-based protein biomarkers for diagnosis of Alzheimer disease.

James D Doecke1, Simon M Laws, Noel G Faux, William Wilson, Samantha C Burnham, Chiou-Peng Lam, Alinda Mondal, Justin Bedo, Ashley I Bush, Belinda Brown, Karl De Ruyck, Kathryn A Ellis, Christopher Fowler, Veer B Gupta, Richard Head, S Lance Macaulay, Kelly Pertile, Christopher C Rowe, Alan Rembach, Mark Rodrigues, Rebecca Rumble, Cassandra Szoeke, Kevin Taddei, Tania Taddei, Brett Trounson, David Ames, Colin L Masters, Ralph N Martins.   

Abstract

OBJECTIVE: To identify plasma biomarkers for the diagnosis of Alzheimer disease (AD).
DESIGN: Baseline plasma screening of 151 multiplexed analytes combined with targeted biomarker and clinical pathology data.
SETTING: General community-based, prospective, longitudinal study of aging. PARTICIPANTS: A total of 754 healthy individuals serving as controls and 207 participants with AD from the Australian Imaging Biomarker and Lifestyle study (AIBL) cohort with identified biomarkers that were validated in 58 healthy controls and 112 individuals with AD from the Alzheimer Disease Neuroimaging Initiative (ADNI) cohort.
RESULTS: A biomarker panel was identified that included markers significantly increased (cortisol, pancreatic polypeptide, insulinlike growth factor binding protein 2, β(2) microglobulin, vascular cell adhesion molecule 1, carcinoembryonic antigen, matrix metalloprotein 2, CD40, macrophage inflammatory protein 1α, superoxide dismutase, and homocysteine) and decreased (apolipoprotein E, epidermal growth factor receptor, hemoglobin, calcium, zinc, interleukin 17, and albumin) in AD. Cross-validated accuracy measures from the AIBL cohort reached a mean (SD) of 85% (3.0%) for sensitivity and specificity and 93% (3.0) for the area under the receiver operating characteristic curve. A second validation using the ADNI cohort attained accuracy measures of 80% (3.0%) for sensitivity and specificity and 85% (3.0) for area under the receiver operating characteristic curve.
CONCLUSIONS: This study identified a panel of plasma biomarkers that distinguish individuals with AD from cognitively healthy control subjects with high sensitivity and specificity. Cross-validation within the AIBL cohort and further validation within the ADNI cohort provides strong evidence that the identified biomarkers are important for AD diagnosis.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22801742      PMCID: PMC6287606          DOI: 10.1001/archneurol.2012.1282

Source DB:  PubMed          Journal:  Arch Neurol        ISSN: 0003-9942


  30 in total

1.  Plasma and cerebrospinal fluid levels of amyloid beta proteins 1-40 and 1-42 in Alzheimer disease.

Authors:  P D Mehta; T Pirttilä; S P Mehta; E A Sersen; P S Aisen; H M Wisniewski
Journal:  Arch Neurol       Date:  2000-01

2.  Plasma apolipoprotein E and Alzheimer disease risk: the AIBL study of aging.

Authors:  V B Gupta; S M Laws; V L Villemagne; D Ames; A I Bush; K A Ellis; J K Lui; C Masters; C C Rowe; C Szoeke; K Taddei; R N Martins
Journal:  Neurology       Date:  2011-03-22       Impact factor: 9.910

3.  Decreased cerebrospinal fluid Abeta(42) correlates with brain atrophy in cognitively normal elderly.

Authors:  Anne M Fagan; Denise Head; Aarti R Shah; Daniel Marcus; Mark Mintun; John C Morris; David M Holtzman
Journal:  Ann Neurol       Date:  2009-02       Impact factor: 10.422

4.  Improving CSF biomarker accuracy in predicting prevalent and incident Alzheimer disease.

Authors:  C M Roe; A M Fagan; M M Williams; N Ghoshal; M Aeschleman; E A Grant; D S Marcus; M A Mintun; D M Holtzman; J C Morris
Journal:  Neurology       Date:  2011-01-12       Impact factor: 9.910

5.  A serum protein-based algorithm for the detection of Alzheimer disease.

Authors:  Sid E O'Bryant; Guanghua Xiao; Robert Barber; Joan Reisch; Rachelle Doody; Thomas Fairchild; Perrie Adams; Steven Waring; Ramon Diaz-Arrastia
Journal:  Arch Neurol       Date:  2010-09

6.  Identification of a blood-based biomarker panel for classification of Alzheimer's disease.

Authors:  Christoph Laske; Thomas Leyhe; Elke Stransky; Nadine Hoffmann; Andreas J Fallgatter; Janko Dietzsch
Journal:  Int J Neuropsychopharmacol       Date:  2011-04-05       Impact factor: 5.176

7.  Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects.

Authors:  Leslie M Shaw; Hugo Vanderstichele; Malgorzata Knapik-Czajka; Christopher M Clark; Paul S Aisen; Ronald C Petersen; Kaj Blennow; Holly Soares; Adam Simon; Piotr Lewczuk; Robert Dean; Eric Siemers; William Potter; Virginia M-Y Lee; John Q Trojanowski
Journal:  Ann Neurol       Date:  2009-04       Impact factor: 10.422

8.  Plasma amyloid levels and the risk of AD in normal subjects in the Cardiovascular Health Study.

Authors:  O L Lopez; L H Kuller; P D Mehta; J T Becker; H M Gach; R A Sweet; Y F Chang; R Tracy; S T DeKosky
Journal:  Neurology       Date:  2008-04-09       Impact factor: 9.910

9.  Insulin like growth factor-1 and insulin like growth factor binding proteins in the cerebrospinal fluid and serum from patients with Alzheimer's disease.

Authors:  Zivar Salehi; Farhad Mashayekhi; Mohammad Naji
Journal:  Biofactors       Date:  2008       Impact factor: 6.113

10.  A mathematical model of aging-related and cortisol induced hippocampal dysfunction.

Authors:  Mark T McAuley; Rose Anne Kenny; Thomas B L Kirkwood; Darren J Wilkinson; Janette J L Jones; Veronica M Miller
Journal:  BMC Neurosci       Date:  2009-03-25       Impact factor: 3.288

View more
  134 in total

1.  The Road Ahead to Cure Alzheimer's Disease: Development of Biological Markers and Neuroimaging Methods for Prevention Trials Across all Stages and Target Populations.

Authors:  E Cavedo; S Lista; Z Khachaturian; P Aisen; P Amouyel; K Herholz; C R Jack; R Sperling; J Cummings; K Blennow; S O'Bryant; G B Frisoni; A Khachaturian; M Kivipelto; W Klunk; K Broich; S Andrieu; M Thiebaut de Schotten; J-F Mangin; A A Lammertsma; K Johnson; S Teipel; A Drzezga; A Bokde; O Colliot; H Bakardjian; H Zetterberg; B Dubois; B Vellas; L S Schneider; H Hampel
Journal:  J Prev Alzheimers Dis       Date:  2014-12

Review 2.  HDL-cholesterol and apolipoproteins in relation to dementia.

Authors:  Manja Koch; Majken K Jensen
Journal:  Curr Opin Lipidol       Date:  2016-02       Impact factor: 4.776

Review 3.  Potential importance of B cells in aging and aging-associated neurodegenerative diseases.

Authors:  Arya Biragyn; Maria Aliseychik; Evgeny Rogaev
Journal:  Semin Immunopathol       Date:  2017-01-12       Impact factor: 9.623

4.  Circulating ethanolamine plasmalogen indices in Alzheimer's disease: Relation to diagnosis, cognition, and CSF tau.

Authors:  Mitchel A Kling; Dayan B Goodenowe; Vijitha Senanayake; Siamak MahmoudianDehkordi; Matthias Arnold; Tyler J Massaro; Rebecca Baillie; Xianlin Han; Yuk-Yee Leung; Andrew J Saykin; Kwangsik Nho; Alexandra Kueider-Paisley; Jessica D Tenenbaum; Li-San Wang; Leslie M Shaw; John Q Trojanowski; Rima F Kaddurah-Daouk
Journal:  Alzheimers Dement       Date:  2020-07-27       Impact factor: 21.566

5.  CSF Apo-E levels associate with cognitive decline and MRI changes.

Authors:  Jon B Toledo; Xiao Da; Michael W Weiner; David A Wolk; Sharon X Xie; Steven E Arnold; Christos Davatzikos; Leslie M Shaw; John Q Trojanowski
Journal:  Acta Neuropathol       Date:  2014-01-03       Impact factor: 17.088

6.  Alzheimer disease: blood-based biomarkers in AD--a silver lining on the horizon.

Authors:  Christoph Laske
Journal:  Nat Rev Neurol       Date:  2012-08-14       Impact factor: 42.937

7.  Mitochondrial Proteome Changes Correlating with β-Amyloid Accumulation.

Authors:  Katalin Völgyi; Krisztina Háden; Viktor Kis; Péter Gulyássy; Kata Badics; Balázs András Györffy; Attila Simor; Zoltán Szabó; Tamás Janáky; László Drahos; Árpád Dobolyi; Botond Penke; Gábor Juhász; Katalin Adrienna Kékesi
Journal:  Mol Neurobiol       Date:  2016-02-24       Impact factor: 5.590

8.  Evaluation of disposable microfluidic chip design for automated and fast Immunoassays.

Authors:  Guochun Wang; Champak Das; Bradley Ledden; Qian Sun; Chien Nguyen; Sai Kumar
Journal:  Biomicrofluidics       Date:  2017-02-22       Impact factor: 2.800

9.  Insulin-like growth factor binding protein-2 interactions with Alzheimer's disease biomarkers.

Authors:  Elizabeth M Lane; Timothy J Hohman; Angela L Jefferson
Journal:  Brain Imaging Behav       Date:  2017-12       Impact factor: 3.978

10.  Intracranial IL-17A overexpression decreases cerebral amyloid angiopathy by upregulation of ABCA1 in an animal model of Alzheimer's disease.

Authors:  Junling Yang; Jinghong Kou; Robert Lalonde; Ken-Ichiro Fukuchi
Journal:  Brain Behav Immun       Date:  2017-05-17       Impact factor: 7.217

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.