Literature DB >> 25822737

Nonlinear Association Between Cerebrospinal Fluid and Florbetapir F-18 β-Amyloid Measures Across the Spectrum of Alzheimer Disease.

Jon B Toledo1, Maria Bjerke1, Xiao Da2, Susan M Landau3, Norman L Foster4, William Jagust3, Clifford Jack5, Michael Weiner6, Christos Davatzikos2, Leslie M Shaw1, John Q Trojanowski1.   

Abstract

IMPORTANCE: Cerebrospinal fluid (CSF) and positron emission tomographic (PET) amyloid biomarkers have been proposed for the detection of Alzheimer disease (AD) pathology in living patients and for the tracking of longitudinal changes, but the relation between biomarkers needs further study.
OBJECTIVE: To determine the association between CSF and PET amyloid biomarkers (cross-sectional and longitudinal measures) and compare the cutoffs for these measures. DESIGN, SETTING, AND PARTICIPANTS: Longitudinal clinical cohort study from 2005 to 2014 including 820 participants with at least 1 florbetapir F-18 (hereafter referred to as simply florbetapir)-PET scan and at least 1 CSF β-amyloid 1-42 (Aβ1-42) sample obtained within 30 days of each other (501 participants had a second PET scan after 2 years, including 150 participants with CSF Aβ1-42 measurements). Data were obtained from the Alzheimer's Disease Neuroimaging Initiative database. MAIN OUTCOMES AND MEASURES: Four different PET scans processing pipelines from 2 different laboratories were compared. The PET cutoff values were established using a mixture-modeling approach, and different mathematical models were applied to define the association between CSF and PET amyloid measures.
RESULTS: The values of the CSF Aβ1-42 samples and florbetapir-PET scans showed a nonlinear association (R2 = 0.48-0.66), with the strongest association for values in the middle range. The presence of a larger dynamic range of florbetapir-PET scan values in the higher range compared with the CSF Aβ1-42 plateau explained the differences in correlation with cognition (R2 = 0.36 and R2 = 0.25, respectively). The APOE genotype significantly modified the association between both biomarkers. The PET cutoff values derived from an unsupervised classifier converged with previous PET cutoff values and the established CSF Aβ1-42 cutoff levels. There was no association between longitudinal Aβ1-42 levels and standardized uptake value ratios during follow-up. CONCLUSIONS AND RELEVANCE: The association between both biomarkers is limited to a middle range of values, is modified by the APOE genotype, and is absent for longitudinal changes; 4 different approaches in 2 different platforms converge on similar pathological Aβ cutoff levels; and different pipelines to process PET scans showed correlated but not identical results. Our findings suggest that both biomarkers measure different aspects of AD Aβ pathology.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25822737      PMCID: PMC5642905          DOI: 10.1001/jamaneurol.2014.4829

Source DB:  PubMed          Journal:  JAMA Neurol        ISSN: 2168-6149            Impact factor:   18.302


  48 in total

1.  High PIB retention in Alzheimer's disease is an early event with complex relationship with CSF biomarkers and functional parameters.

Authors:  A Forsberg; O Almkvist; H Engler; A Wall; B Långström; A Nordberg
Journal:  Curr Alzheimer Res       Date:  2010-02       Impact factor: 3.498

2.  Longitudinal imaging pattern analysis (SPARE-CD index) detects early structural and functional changes before cognitive decline in healthy older adults.

Authors:  Vanessa H Clark; Susan M Resnick; Jimit Doshi; Lori L Beason-Held; Yun Zhou; Luigi Ferrucci; Dean F Wong; Michael A Kraut; Christos Davatzikos
Journal:  Neurobiol Aging       Date:  2012-02-24       Impact factor: 4.673

3.  Comparison of analytical platforms for cerebrospinal fluid measures of β-amyloid 1-42, total tau, and p-tau181 for identifying Alzheimer disease amyloid plaque pathology.

Authors:  Anne M Fagan; Leslie M Shaw; Chengjie Xiong; Hugo Vanderstichele; Mark A Mintun; John Q Trojanowski; Els Coart; John C Morris; David M Holtzman
Journal:  Arch Neurol       Date:  2011-05-09

4.  The Centiloid Project: standardizing quantitative amyloid plaque estimation by PET.

Authors:  William E Klunk; Robert A Koeppe; Julie C Price; Tammie L Benzinger; Michael D Devous; William J Jagust; Keith A Johnson; Chester A Mathis; Davneet Minhas; Michael J Pontecorvo; Christopher C Rowe; Daniel M Skovronsky; Mark A Mintun
Journal:  Alzheimers Dement       Date:  2014-10-28       Impact factor: 21.566

5.  Performance characteristics of amyloid PET with florbetapir F 18 in patients with alzheimer's disease and cognitively normal subjects.

Authors:  Abhinay D Joshi; Michael J Pontecorvo; Chrisopher M Clark; Alan P Carpenter; Danna L Jennings; Carl H Sadowsky; Lee P Adler; Karel D Kovnat; John P Seibyl; Anupa Arora; Krishnendu Saha; Jason D Burns; Mark J Lowrey; Mark A Mintun; Daniel M Skovronsky
Journal:  J Nucl Med       Date:  2012-02-13       Impact factor: 10.057

6.  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

7.  Relationship of cerebrospinal fluid markers to 11C-PiB and 18F-FDDNP binding.

Authors:  Nelleke Tolboom; Wiesje M van der Flier; Maqsood Yaqub; Ronald Boellaard; Nicolaas A Verwey; Marinus A Blankenstein; Albert D Windhorst; Philip Scheltens; Adriaan A Lammertsma; Bart N M van Berckel
Journal:  J Nucl Med       Date:  2009-08-18       Impact factor: 10.057

8.  A comparison of Aβ amyloid pathology staging systems and correlation with clinical diagnosis.

Authors:  Susana Boluda; Jon B Toledo; David J Irwin; Kevin M Raible; Matt D Byrne; Edward B Lee; Virginia M-Y Lee; John Q Trojanowski
Journal:  Acta Neuropathol       Date:  2014-06-12       Impact factor: 17.088

9.  After disappointments, Alzheimer's researchers seek out new paths: biomarkers and combination therapies may lead to disease-modifying treatments, experts say.

Authors:  Susan Worley
Journal:  P T       Date:  2014-05

10.  Integration and relative value of biomarkers for prediction of MCI to AD progression: spatial patterns of brain atrophy, cognitive scores, APOE genotype and CSF biomarkers.

Authors:  Xiao Da; Jon B Toledo; Jarcy Zee; David A Wolk; Sharon X Xie; Yangming Ou; Amanda Shacklett; Paraskevi Parmpi; Leslie Shaw; John Q Trojanowski; Christos Davatzikos
Journal:  Neuroimage Clin       Date:  2013-11-28       Impact factor: 4.881

View more
  49 in total

1.  Alzheimer's disease cerebrospinal fluid biomarker in cognitively normal subjects.

Authors:  Jon B Toledo; Henrik Zetterberg; Argonde C van Harten; Lidia Glodzik; Pablo Martinez-Lage; Luisella Bocchio-Chiavetto; Lorena Rami; Oskar Hansson; Reisa Sperling; Sebastiaan Engelborghs; Ricardo S Osorio; Hugo Vanderstichele; Manu Vandijck; Harald Hampel; Stefan Teipl; Abhay Moghekar; Marilyn Albert; William T Hu; Jose A Monge Argilés; Ana Gorostidi; Charlotte E Teunissen; Peter P De Deyn; Bradley T Hyman; Jose L Molinuevo; Giovanni B Frisoni; Gurutz Linazasoro; Mony J de Leon; Wiesje M van der Flier; Philip Scheltens; Kaj Blennow; Leslie M Shaw; John Q Trojanowski
Journal:  Brain       Date:  2015-07-27       Impact factor: 13.501

2.  Patterns of Cortical and Subcortical Amyloid Burden across Stages of Preclinical Alzheimer's Disease.

Authors:  Emily C Edmonds; Katherine J Bangen; Lisa Delano-Wood; Daniel A Nation; Ansgar J Furst; David P Salmon; Mark W Bondi
Journal:  J Int Neuropsychol Soc       Date:  2016-11       Impact factor: 2.892

Review 3.  Imaging tau and amyloid-β proteinopathies in Alzheimer disease and other conditions.

Authors:  Victor L Villemagne; Vincent Doré; Samantha C Burnham; Colin L Masters; Christopher C Rowe
Journal:  Nat Rev Neurol       Date:  2018-02-16       Impact factor: 42.937

4.  Sparse Nonparametric Regression With Regularized Tensor Product Kernel.

Authors:  Hang Yu; Yuanjia Wang; Donglin Zeng
Journal:  Stat (Int Stat Inst)       Date:  2020-07-06

5.  Memory, executive, and multidomain subtle cognitive impairment: clinical and biomarker findings.

Authors:  Jon B Toledo; Maria Bjerke; Kewei Chen; Martin Rozycki; Clifford R Jack; Michael W Weiner; Steven E Arnold; Eric M Reiman; Christos Davatzikos; Leslie M Shaw; John Q Trojanowski
Journal:  Neurology       Date:  2015-06-17       Impact factor: 9.910

Review 6.  Impact of the Alzheimer's Disease Neuroimaging Initiative, 2004 to 2014.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Jesse Cedarbaum; Michael C Donohue; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; John C Morris; Ronald C Petersen; Andrew J Saykin; Leslie Shaw; Paul M Thompson; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2015-07       Impact factor: 21.566

Review 7.  The Alzheimer's Disease Neuroimaging Initiative 2 Biomarker Core: A review of progress and plans.

Authors:  Ju-Hee Kang; Magdalena Korecka; Michal J Figurski; Jon B Toledo; Kaj Blennow; Henrik Zetterberg; Teresa Waligorska; Magdalena Brylska; Leona Fields; Nirali Shah; Holly Soares; Robert A Dean; Hugo Vanderstichele; Ronald C Petersen; Paul S Aisen; Andrew J Saykin; Michael W Weiner; John Q Trojanowski; Leslie M Shaw
Journal:  Alzheimers Dement       Date:  2015-07       Impact factor: 21.566

Review 8.  Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans.

Authors:  Andrew J Saykin; Li Shen; Xiaohui Yao; Sungeun Kim; Kwangsik Nho; Shannon L Risacher; Vijay K Ramanan; Tatiana M Foroud; Kelley M Faber; Nadeem Sarwar; Leanne M Munsie; Xiaolan Hu; Holly D Soares; Steven G Potkin; Paul M Thompson; John S K Kauwe; Rima Kaddurah-Daouk; Robert C Green; Arthur W Toga; Michael W Weiner
Journal:  Alzheimers Dement       Date:  2015-07       Impact factor: 21.566

Review 9.  18F PET with florbetapir for the early diagnosis of Alzheimer's disease dementia and other dementias in people with mild cognitive impairment (MCI).

Authors:  Gabriel Martínez; Robin Wm Vernooij; Paulina Fuentes Padilla; Javier Zamora; Xavier Bonfill Cosp; Leon Flicker
Journal:  Cochrane Database Syst Rev       Date:  2017-11-22

Review 10.  Rethinking on the concept of biomarkers in preclinical Alzheimer's disease.

Authors:  Valentina Berti; Cristina Polito; Gemma Lombardi; Camilla Ferrari; Sandro Sorbi; Alberto Pupi
Journal:  Neurol Sci       Date:  2016-01-20       Impact factor: 3.307

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.