Evidence map›Paper›PMID 31825500›Full record

ArticleJAMA network open2019

Association of Longitudinal Changes in Cerebrospinal Fluid Total Tau and Phosphorylated Tau 181 and Brain Atrophy With Disease Progression in Patients With Alzheimer Disease.

Jorge J Llibre-Guerra, Yan Li, Suzanne E Schindler, Brian A Gordon, Anne M Fagan, John C Morris, Tammie L S Benzinger, Jason Hassenstab, Guoqiao Wang, Ricardo Allegri and 14 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 40 citations in OpenAlex.

  1. The relationship of soluble tau species with Alzheimer's disease amyloid plaque removal and tau pathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Trial
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  4. Article
  5. Article
  6. AAV delivery of artificial miRNA targeting MAPT for the reduction of tau pathology in Alzheimer's disease.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Longitudinal associations between exercise and biomarkers in autosomal dominant Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Biomarker clustering in autosomal dominant Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Biphasic cortical macro- and microstructural changes in autosomal dominant Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2021
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors at 12 institutions in 5 countries.

Jorge J Llibre-GuerraDepartment of Neurology, Washington University in St Louis, St Louis, Missouri.
Yan LiDepartment of Biostatistics, Washington University in St Louis, St Louis, Missouri.
Suzanne E SchindlerDepartment of Neurology, Washington University in St Louis, St Louis, Missouri.
Brian A GordonDepartment of Radiology, Washington University in St Louis, St Louis, Missouri.
Anne M FaganDepartment of Neurology, Washington University in St Louis, St Louis, Missouri.
John C MorrisDepartment of Neurology, Washington University in St Louis, St Louis, Missouri.
Tammie L S BenzingerDepartment of Radiology, Washington University in St Louis, St Louis, Missouri.
Jason HassenstabDepartment of Neurology, Washington University in St Louis, St Louis, Missouri.
Guoqiao WangHertie Institute for Clinical Brain Research, Department of Cellular Neurology, University of Tübingen, Tübingen, Germany.
Ricardo AllegriDepartment of Cognitive Neurology, Institute for Neurological Research Fleni, Buenos Aires, Argentina.
Sarah B BermanDepartment of Radiology, Washington University in St Louis, St Louis, Missouri.
Jasmeer ChhatwalMassachusetts General Hospital, Harvard Medical School, Boston.
Martin R FarlowNeuroscience Center, Indiana University, Bloomington.
David M HoltzmanDepartment of Neurology, Washington University in St Louis, St Louis, Missouri.
Mathias JuckerHertie Institute for Clinical Brain Research, Department of Cellular Neurology, University of Tübingen, Tübingen, Germany.
Johannes LevinDepartment of Neurology, Ludwig-Maximilians-University, Munich, Germany.
James M NobleTaub Institute for Research on Alzheimer's Disease, Aging Brain G.H. Sergievsky Center, Department of Neurology, Columbia University Medical Center, New York, New York.
Stephen SallowayMemory & Aging Program, Butler Hospital, Brown University, Providence, Rhode Island.
Peter SchofieldNeuroscience Research Australia, Randwick, Sydney, New South Wales, Australia.
Celeste KarchDepartment of Psychiatry, Washington University in St Louis, St Louis, Missouri.
Nick C FoxDementia Research Centre, University College London, London, United Kingdom.
Chengjie XiongDepartment of Biostatistics, Washington University in St Louis, St Louis, Missouri.
Randall J BatemanDepartment of Neurology, Washington University in St Louis, St Louis, Missouri.
Eric McDadeDepartment of Neurology, Washington University in St Louis, St Louis, Missouri.
Washington University in St. Louis · USButler Hospital · USColumbia University Irving Medical Center · USGerman Center for Neurodegenerative Diseases · DEHarvard University · USIndiana University Bloomington · USInstituto de Neurología Cognitiva · ARLudwig-Maximilians-Universität München · DEUniversity College London · GBUniversity of Pittsburgh · USUniversity of Tübingen · DEUNSW Sydney · AU

Funding

Imaging CoreU19AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2010 to 2025
$53.9M
Dominantly Inherited Alzheimer NetworkUF1AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2014 to 2017
$21.6M
PET Imaging of Neuroinflammation in Genetic Alzheimer's DiseaseR01AG052550 · NIA · WASHINGTON UNIVERSITY · PI Beau M Ances, Tammie Lee Smith Benzinger · 2018 to 2026
$4.2M
Cerebrovascular Reactivity in the Presence of Cerebral Amyloid and Cerebrovascular Disease: A novel multi-modal imaging measure of vascular reserve in cognitively normal elderlyK23AG046363 · NIA · WASHINGTON UNIVERSITY · PI MCDADE, ERIC MARTIN · 2015 to 2019
$677k
STAGING PRECLINICAL AD WITH CSF BIOMARKERSK23AG053426 · NIA · WASHINGTON UNIVERSITY · PI SCHINDLER, SUZANNE ELIZABETH · 2017 to 2020
$654k
NIA NIH HHS K23 AG046363NIA NIH HHS K23 AG053426NIA NIH HHS R01 AG052550NIA NIH HHS U19 AG032438NIA NIH HHS UF1 AG032438
6 · The paper itself

Abstract

Importance: The amyloid/tau/neurodegeneration (A/T/N) framework uses cerebrospinal fluid (CSF) levels of total tau (tTau) as a marker of neurodegeneration and CSF levels of phosphorylated tau 181 (pTau181) as a marker of tau tangles. However, it is unclear whether CSF levels of tTau and pTau181 have similar or different trajectories over the course of Alzheimer disease. Objectives: To examine the rates of change in CSF levels of tTau and pTau181 across the Alzheimer disease course and how the rates of change are associated with brain atrophy as measured by magnetic resonance imaging. Design, Setting, and Participants: This cohort study was set in tertiary research clinics. Each participant was a member of a pedigree with a known mutation for dominantly inherited Alzheimer disease. Participants were divided into 3 groups on the basis of the presence of a mutation and their Clinical Dementia Rating score. Data analysis was performed in June 2019. Main Outcomes and Measures: Rates of change of CSF tTau and pTau181 levels and their association with the rate of change of brain volume. Results: Data from 465 participants (283 mutation carriers and 182 noncarriers) were analyzed. The mean (SD) age of the cohort was 37.8 (11.3) years, and 262 (56.3%) were women. The mean (SD) follow-up duration was 2.7 (1.5) years. Two or more longitudinal CSF and magnetic resonance imaging assessments were available for 160 and 247 participants, respectively. Sixty-five percent of mutation carriers (183) did not have symptoms at baseline (Clinical Dementia Rating score, 0). For mutation carriers, the annual rates of change for CSF tTau and pTau181 became significantly different from 0 approximately 10 years before the estimated year of onset (mean [SE] rates of change, 5.5 [2.8] for tTau [P = .05] and 0.7 [0.3] for pTau 181 [P = .04]) and 15 years before onset (mean [SE] rates of change, 5.4 [3.9] for tTau [P = .17] and 1.1 [0.5] for pTau181 [P = .03]), respectively. The rate of change of pTau181 was positive and increased at the early stages of the disease, showing a positive rate of change starting at 15 estimated years before onset until 5 estimated years before onset (mean [SE], 0.4 [0.3]), followed by a positive but decreasing rate of change at year 0 (mean [SE], 0.1 [0.3]) and then negative rates of change at 5 years (mean [SE], -0.3 [0.4]) and 10 years (mean [SE], -0.6 [0.6]) after symptom onset. In individuals without symptoms (Clinical Dementia Rating score, 0), the rates of change of CSF tTau and pTau181 were negatively associated with brain atrophy (high rates of change in CSF measures were associated with low rates of change in brain volume in asymptomatic stages). After symptom onset (Clinical Dementia Rating score, >0), an increased rate of brain atrophy was not associated with rates of change of levels of both CSF tTau and pTau181. Conclusions and Relevance: These findings suggest that CSF tTau and pTau181 may have different associations with brain atrophy across the disease time course. These results have implications for understanding the dynamics of disease pathobiology and interpreting neuronal injury biomarker concentrations in response to Alzheimer disease progression and disease-modifying therapies.

Indexed as

AdultAlzheimer DiseaseAtrophyBiomarkersBrainDisease ProgressionFemaleHumansLongitudinal StudiesMaleMiddle AgedPedigreetau ProteinsBiomarkerstau Proteins

Identifiers

PMID31825500
PMCPMC6991202
OpenAlexW2996301471

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