Literature DB >> 21311900

Qualification of the analytical and clinical performance of CSF biomarker analyses in ADNI.

Leslie M Shaw1, Hugo Vanderstichele, Malgorzata Knapik-Czajka, Michal Figurski, Els Coart, Kaj Blennow, Holly Soares, Adam J Simon, Piotr Lewczuk, Robert A Dean, Eric Siemers, William Potter, Virginia M-Y Lee, John Q Trojanowski.   

Abstract

The close correlation between abnormally low pre-mortem cerebrospinal fluid (CSF) concentrations of amyloid-β1-42 (Aβ(1-42)) and plaque burden measured by amyloid imaging as well as between pathologically increased levels of CSF tau and the extent of neurodegeneration measured by MRI has led to growing interest in using these biomarkers to predict the presence of AD plaque and tangle pathology. A challenge for the widespread use of these CSF biomarkers is the high variability in the assays used to measure these analytes which has been ascribed to multiple pre-analytical and analytical test performance factors. To address this challenge, we conducted a seven-center inter-laboratory standardization study for CSF total tau (t-tau), phospho-tau (p-tau(181)) and Aβ(1-42) as part of the Alzheimer's Disease Neuroimaging Initiative (ADNI). Aliquots prepared from five CSF pools assembled from multiple elderly controls (n = 3) and AD patients (n = 2) were the primary test samples analyzed in each of three analytical runs by the participating laboratories using a common batch of research use only immunoassay reagents (INNO-BIA AlzBio3, xMAP technology, from Innogenetics) on the Luminex analytical platform. To account for the combined effects on overall precision of CSF samples (fixed effect), different laboratories and analytical runs (random effects), these data were analyzed by mixed-effects modeling with the following results: within center %CV 95% CI values (mean) of 4.0-6.0% (5.3%) for CSF Aβ(1-42); 6.4-6.8% (6.7%) for t-tau and 5.5-18.0% (10.8%) for p-tau(181) and inter-center %CV 95% CI range of 15.9-19.8% (17.9%) for Aβ(1-42), 9.6-15.2% (13.1%) for t-tau and 11.3-18.2% (14.6%) for p-tau(181). Long-term experience by the ADNI biomarker core laboratory replicated this degree of within-center precision. Diagnostic threshold CSF concentrations for Aβ(1-42) and for the ratio t-tau/Aβ(1-42) were determined in an ADNI independent, autopsy-confirmed AD cohort from whom ante-mortem CSF was obtained, and a clinically defined group of cognitively normal controls (NCs) provides statistically significant separation of those who progressed from MCI to AD in the ADNI study. These data suggest that interrogation of ante-mortem CSF in cognitively impaired individuals to determine levels of t-tau, p-tau(181) and Aβ(1-42), together with MRI and amyloid imaging biomarkers, could replace autopsy confirmation of AD plaque and tangle pathology as the "gold standard" for the diagnosis of definite AD in the near future.

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Year:  2011        PMID: 21311900      PMCID: PMC3175107          DOI: 10.1007/s00401-011-0808-0

Source DB:  PubMed          Journal:  Acta Neuropathol        ISSN: 0001-6322            Impact factor:   17.088


  40 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
Journal:  Arch Neurol       Date:  1999-06

2.  Cerebrospinal fluid biomarkers and rate of cognitive decline in very mild dementia of the Alzheimer type.

Authors:  Barbara J Snider; Anne M Fagan; Catherine Roe; Aarti R Shah; Elizabeth A Grant; Chengjie Xiong; John C Morris; David M Holtzman
Journal:  Arch Neurol       Date:  2009-05

3.  A worldwide multicentre comparison of assays for cerebrospinal fluid biomarkers in Alzheimer's disease.

Authors:  N A Verwey; W M van der Flier; K Blennow; C Clark; S Sokolow; P P De Deyn; D Galasko; H Hampel; T Hartmann; E Kapaki; L Lannfelt; P D Mehta; L Parnetti; A Petzold; T Pirttila; L Saleh; A Skinningsrud; J C V Swieten; M M Verbeek; J Wiltfang; S Younkin; P Scheltens; M A Blankenstein
Journal:  Ann Clin Biochem       Date:  2009-04-02       Impact factor: 2.057

4.  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

5.  Cerebrospinal fluid tau/beta-amyloid(42) ratio as a prediction of cognitive decline in nondemented older adults.

Authors:  Anne M Fagan; Catherine M Roe; Chengjie Xiong; Mark A Mintun; John C Morris; David M Holtzman
Journal:  Arch Neurol       Date:  2007-01-08

6.  Diagnosing prodromal Alzheimer's disease: role of CSF biochemical markers.

Authors:  Lucilla Parnetti; Alessia Lanari; Giorgio Silvestrelli; Emanuele Saggese; Paolo Reboldi
Journal:  Mech Ageing Dev       Date:  2005-11-07       Impact factor: 5.432

7.  Decreased beta-amyloid1-42 and increased tau levels in cerebrospinal fluid of patients with Alzheimer disease.

Authors:  Trey Sunderland; Gary Linker; Nadeem Mirza; Karen T Putnam; David L Friedman; Lida H Kimmel; Judy Bergeson; Guy J Manetti; Matthew Zimmermann; Brian Tang; John J Bartko; Robert M Cohen
Journal:  JAMA       Date:  2003 Apr 23-30       Impact factor: 56.272

8.  Simultaneous measurement of beta-amyloid(1-42), total tau, and phosphorylated tau (Thr181) in cerebrospinal fluid by the xMAP technology.

Authors:  Annika Olsson; Hugo Vanderstichele; Niels Andreasen; Geert De Meyer; Anders Wallin; Björn Holmberg; Lars Rosengren; Eugeen Vanmechelen; Kaj Blennow
Journal:  Clin Chem       Date:  2004-11-24       Impact factor: 8.327

Review 9.  Biomarkers of Alzheimer's disease.

Authors:  Rebecca Craig-Schapiro; Anne M Fagan; David M Holtzman
Journal:  Neurobiol Dis       Date:  2008-10-28       Impact factor: 5.996

10.  Multiple isoforms of human microtubule-associated protein tau: sequences and localization in neurofibrillary tangles of Alzheimer's disease.

Authors:  M Goedert; M G Spillantini; R Jakes; D Rutherford; R A Crowther
Journal:  Neuron       Date:  1989-10       Impact factor: 17.173

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  153 in total

1.  Maternal family history is associated with Alzheimer's disease biomarkers.

Authors:  Robyn A Honea; Eric D Vidoni; Russell H Swerdlow; Jeffrey M Burns
Journal:  J Alzheimers Dis       Date:  2012       Impact factor: 4.472

Review 2.  The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; Enchi Liu; John C Morris; Ronald C Petersen; Andrew J Saykin; Mark E Schmidt; Leslie Shaw; Judith A Siuciak; Holly Soares; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2011-11-02       Impact factor: 21.566

3.  Disease progression model in subjects with mild cognitive impairment from the Alzheimer's disease neuroimaging initiative: CSF biomarkers predict population subtypes.

Authors:  Mahesh N Samtani; Nandini Raghavan; Yingqi Shi; Gerald Novak; Michael Farnum; Victor Lobanov; Tim Schultz; Eric Yang; Allitia DiBernardo; Vaibhav A Narayan
Journal:  Br J Clin Pharmacol       Date:  2013-01       Impact factor: 4.335

4.  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

Review 5.  Issues related to symptomatic and disease-modifying treatments affecting cognitive and neuropsychiatric comorbidities of epilepsy.

Authors:  Amy R Brooks-Kayal; Kevin G Bath; Anne T Berg; Aristea S Galanopoulou; Gregory L Holmes; Frances E Jensen; Andres M Kanner; Terence J O'Brien; Vicky H Whittemore; Melodie R Winawer; Manisha Patel; Helen E Scharfman
Journal:  Epilepsia       Date:  2013-08       Impact factor: 5.864

6.  Cerebral amyloid is associated with greater white-matter hyperintensity accrual in cognitively normal older adults.

Authors:  Julia A Scott; Meredith N Braskie; Duygu Tosun; Pauline Maillard; Paul M Thompson; Michael Weiner; Charles DeCarli; Owen T Carmichael
Journal:  Neurobiol Aging       Date:  2016-08-24       Impact factor: 4.673

7.  Genetic modification of the relationship between phosphorylated tau and neurodegeneration.

Authors:  Timothy J Hohman; Mary Ellen I Koran; Tricia A Thornton-Wells
Journal:  Alzheimers Dement       Date:  2014-03-20       Impact factor: 21.566

8.  Neurodegenerative disease biomarkers: guideposts for disease prevention through early diagnosis and intervention.

Authors:  John Q Trojanowski; Harald Hampel
Journal:  Prog Neurobiol       Date:  2011-07-23       Impact factor: 11.685

9.  Higher education is not associated with greater cortical thickness in brain areas related to literacy or intelligence in normal aging or mild cognitive impairment.

Authors:  Jagan A Pillai; Linda K McEvoy; Donald J Hagler; Dominic Holland; Anders M Dale; David P Salmon; Douglas Galasko; Christine Fennema-Notestine
Journal:  J Clin Exp Neuropsychol       Date:  2012-08-21       Impact factor: 2.475

10.  Comparing positron emission tomography imaging and cerebrospinal fluid measurements of β-amyloid.

Authors:  Susan M Landau; Ming Lu; Abhinay D Joshi; Michael Pontecorvo; Mark A Mintun; John Q Trojanowski; Leslie M Shaw; William J Jagust
Journal:  Ann Neurol       Date:  2013-12       Impact factor: 10.422

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