Literature DB >> 35764037

CSF phosphorylated tau as an indicator of subsequent tau accumulation.

Petrice M Cogswell1, Heather J Wiste2, Michelle M Mielke3, Christopher G Schwarz4, Stephen D Weigand2, Val J Lowe4, Terry M Therneau2, David S Knopman5, Jonathan Graff-Radford5, Prashanthi Vemuri4, Matthew L Senjem6, Jeffrey L Gunter4, Alicia Algeciras-Schimnich7, Ronald C Petersen3, Clifford R Jack4.   

Abstract

We evaluated the relationship between baseline CSF p-tau181 and the rate of tau PET change in the temporal meta-ROI and entorhinal cortex (ERC) and how it varied by amyloid level (CSF Aβ42 or amyloid PET) among 143 individuals from the Mayo Clinic Study of Aging and Mayo Alzheimer Disease Research Center. Higher CSF p-tau181, lower CSF Aβ42, and higher amyloid PET levels were associated with faster rates of tau PET change in both the temporal meta-ROI and ERC. In the temporal meta-ROI, longitudinal tau PET accumulation occurred primarily in participants with abnormal biomarker levels and a diagnosis of dementia, which supports the hypothesis that tau aggregation begins later in the disease process. Compared to the temporal meta-ROI, the ERC showed greater change in tau PET in non-demented participants but less change in later disease stages, supporting ERC as a more sensitive marker of early tau PET changes but with less dynamic range over the disease spectrum. We found both amyloid and CSF p-tau181 were associated with rates of tau PET change but there were some differences in associations by region, amyloid biomarker, and disease stage.
Copyright © 2022. Published by Elsevier Inc.

Entities:  

Keywords:  Alzheimer Disease; CSF p-tau; amyloid; tau PET

Mesh:

Substances:

Year:  2022        PMID: 35764037      PMCID: PMC9361359          DOI: 10.1016/j.neurobiolaging.2022.02.015

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   5.133


  49 in total

1.  Inverse relation between in vivo amyloid imaging load and cerebrospinal fluid Abeta42 in humans.

Authors:  Anne M Fagan; Mark A Mintun; Robert H Mach; Sang-Yoon Lee; Carmen S Dence; Aarti R Shah; Gina N LaRossa; Michael L Spinner; William E Klunk; Chester A Mathis; Steven T DeKosky; John C Morris; David M Holtzman
Journal:  Ann Neurol       Date:  2006-03       Impact factor: 10.422

2.  Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers.

Authors:  Clifford R Jack; David S Knopman; William J Jagust; Ronald C Petersen; Michael W Weiner; Paul S Aisen; Leslie M Shaw; Prashanthi Vemuri; Heather J Wiste; Stephen D Weigand; Timothy G Lesnick; Vernon S Pankratz; Michael C Donohue; John Q Trojanowski
Journal:  Lancet Neurol       Date:  2013-02       Impact factor: 44.182

3.  Associations between biomarkers and age in the presenilin 1 E280A autosomal dominant Alzheimer disease kindred: a cross-sectional study.

Authors:  Adam S Fleisher; Kewei Chen; Yakeel T Quiroz; Laura J Jakimovich; Madelyn Gutierrez Gomez; Carolyn M Langois; Jessica B S Langbaum; Auttawut Roontiva; Pradeep Thiyyagura; Wendy Lee; Napatkamon Ayutyanont; Liliana Lopez; Sonia Moreno; Claudia Muñoz; Victoria Tirado; Natalia Acosta-Baena; Anne M Fagan; Margarita Giraldo; Gloria Garcia; Matthew J Huentelman; Pierre N Tariot; Francisco Lopera; Eric M Reiman
Journal:  JAMA Neurol       Date:  2015-03       Impact factor: 18.302

4.  Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer's disease.

Authors:  Rik Ossenkoppele; Daniel R Schonhaut; Michael Schöll; Samuel N Lockhart; Nagehan Ayakta; Suzanne L Baker; James P O'Neil; Mustafa Janabi; Andreas Lazaris; Averill Cantwell; Jacob Vogel; Miguel Santos; Zachary A Miller; Brianne M Bettcher; Keith A Vossel; Joel H Kramer; Maria L Gorno-Tempini; Bruce L Miller; William J Jagust; Gil D Rabinovici
Journal:  Brain       Date:  2016-03-08       Impact factor: 13.501

5.  Defining imaging biomarker cut points for brain aging and Alzheimer's disease.

Authors:  Clifford R Jack; Heather J Wiste; Stephen D Weigand; Terry M Therneau; Val J Lowe; David S Knopman; Jeffrey L Gunter; Matthew L Senjem; David T Jones; Kejal Kantarci; Mary M Machulda; Michelle M Mielke; Rosebud O Roberts; Prashanthi Vemuri; Denise A Reyes; Ronald C Petersen
Journal:  Alzheimers Dement       Date:  2016-09-30       Impact factor: 21.566

6.  Relationships between biomarkers in aging and dementia.

Authors:  W J Jagust; S M Landau; L M Shaw; J Q Trojanowski; R A Koeppe; E M Reiman; N L Foster; R C Petersen; M W Weiner; J C Price; C A Mathis
Journal:  Neurology       Date:  2009-10-13       Impact factor: 9.910

Review 7.  A Review of Fluid Biomarkers for Alzheimer's Disease: Moving from CSF to Blood.

Authors:  Kaj Blennow
Journal:  Neurol Ther       Date:  2017-07-21

8.  Cerebrospinal fluid tau and ptau(181) increase with cortical amyloid deposition in cognitively normal individuals: implications for future clinical trials of Alzheimer's disease.

Authors:  Anne M Fagan; Mark A Mintun; Aarti R Shah; Patricia Aldea; Catherine M Roe; Robert H Mach; Daniel Marcus; John C Morris; David M Holtzman
Journal:  EMBO Mol Med       Date:  2009-11       Impact factor: 12.137

9.  Regional [18F]flortaucipir PET is more closely associated with disease severity than CSF p-tau in Alzheimer's disease.

Authors:  Emma E Wolters; Rik Ossenkoppele; Sander C J Verfaillie; Emma M Coomans; Tessa Timmers; Denise Visser; Hayel Tuncel; Sandeep S V Golla; Albert D Windhorst; Ronald Boellaard; Wiesje M van der Flier; Charlotte E Teunissen; Philip Scheltens; Bart N M van Berckel
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-04-14       Impact factor: 9.236

10.  Selecting software pipelines for change in flortaucipir SUVR: Balancing repeatability and group separation.

Authors:  Christopher G Schwarz; Terry M Therneau; Stephen D Weigand; Jeffrey L Gunter; Val J Lowe; Scott A Przybelski; Matthew L Senjem; Hugo Botha; Prashanthi Vemuri; Kejal Kantarci; Bradley F Boeve; Jennifer L Whitwell; Keith A Josephs; Ronald C Petersen; David S Knopman; Clifford R Jack
Journal:  Neuroimage       Date:  2021-06-09       Impact factor: 6.556

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