Evidence map›Paper›PMID 28800330›Full record

ArticleJournal of Alzheimer's disease : JAD2017

PET Tau and Amyloid-β Burden in Mild Alzheimer's Disease: Divergent Relationship with Age, Cognition, and Cerebrospinal Fluid Biomarkers.

Ivan Koychev, Roger N Gunn, Azadeh Firouzian, Jennifer Lawson, Giovanna Zamboni, Basil Ridha, Barbara J Sahakian, James B Rowe, Alan Thomas, Lynn Rochester and 6 more

Erratum issuedOpen access · hybridAbstract readMulticenter Study
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
6.2field-weighted citation impact, top 3% 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 74 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Observational
  8. Article
  9. Tau: a biomarker of Huntington's disease.Molecular psychiatry · 2023
    Review
  10. Article
  11. Biomarkers for dementia in Latin American countries: Gaps and opportunities.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
  12. Review
  13. Article
  14. A Machine Learning-Based Approach to Discrimination of Tauopathies Using [Movement disorders : official journal of the Movement Disorder Society · 2022
    Article
  15. Article
  16. Patterns of tau pathology identified withAlzheimer's & dementia : the journal of the Alzheimer's Association · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. Clinical validity of increased cortical uptake of [European journal of nuclear medicine and molecular imaging · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 2 countries.

Ivan KoychevDepartment of Psychiatry, University of Oxford, UK.
Roger N GunnIMANOVA, Ltd.
Azadeh FirouzianIMANOVA, Ltd.
Jennifer LawsonDepartment of Psychiatry, University of Oxford, UK.
Giovanna ZamboniDepartment of Psychiatry, University of Oxford, UK.
Basil RidhaNIHR Queen Square Dementia Biomedical Research Unit, University College London, London, UK.
Barbara J SahakianDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
James B RoweDepartment of Clinical Neurosciences, University of Cambridge, UK and MRC Cognition and Brain Sciences Unit, Cambridge, UK.
Alan ThomasInstitute of Neuroscience, Newcastle University, Newcastle, UK.
Lynn RochesterInstitute of Neuroscience, Newcastle University, Newcastle, UK.
Dominic FfytcheKing's College London, London, UK.
Robert HowardDepartment of Molecular Neuroscience, University College London Institute of Neurology, Queen Square, London, UK.
Henrik ZetterbergDepartment of Molecular Neuroscience, University College London Institute of Neurology, Queen Square, London, UK.
Clare MacKayDepartment of Psychiatry, University of Oxford, UK.
Simon LovestoneDepartment of Psychiatry, University of Oxford, UK.
Deep and Frequent Phenotyping study team (
University of Oxford · GBKing's College London · GBLivaNova (United Kingdom) · GBMRC Cognition and Brain Sciences Unit · GBSahlgrenska University Hospital · SENewcastle University · GBUniversity of Cambridge · GB

Funding

Medical Research Council MC_EX_MR/N50192X/1Medical Research Council MC_U105597119Medical Research Council MC_UU_00005/12Medical Research Council MR/L023784/1Medical Research Council MR/L023784/2Medical Research Council MR/M024962/1Medical Research Council MR/N029941/1
6 · The paper itself

Abstract

backgroundCombining PET amyloid-β (Aβ) and tau imaging may be critical for tracking disease progression in Alzheimer's disease (AD).

objectiveWe sought to characterize the relationship between Aβ and tau ligands as well as with other measures of pathology.

methodsWe conducted a multi-center observational study in early AD (MMSE >20) participants aged 50 to 85 y. The schedule included cognitive assessments (ADAS-Cog) and CSF measurement of Aβ and tau at baseline and 6 months; PET-CT imaging with Aβ ([18F]AV45) and tau ([18F]AV1451) ligands at baseline.

results22 participants took part in the study with 20 completing its 6-month duration and 12 having both tau and amyloid PET. The PET biomarker analysis revealed a strong negative correlation between age and tau in multiple regions. Entorhinal cortex tau and age interacted significantly in terms of cognitive change over 6 months which may have been to older participants deteriorating faster despite lower levels of cortical tau. Cortical Aβ associated with entorhinal cortex tau while CSF tau/Aβ ratio correlated strongly with cortical tau but not Aβ.

conclusionThe negative relationship between age and cortical tau whereby younger patients with mild AD had relatively greater tau burden is potentially important. It suggests that younger-age onset AD may be primarily driven by tau pathology while AD developing later may depend on a multitude of pathological mechanisms. These data also suggest that PET-tau performs better than PET-amyloid in predicting the best validated AD diagnostic marker- the CSF total tau/Aβ ratio.

Indexed as

AgingAlzheimer DiseaseAgedAmyloid beta-PeptidesAnalysis of VarianceAniline CompoundsCarbolinesCognition DisordersEthylene GlycolsFemaleHumansMaleNeuropsychological TestsPositron-Emission TomographyPsychiatric Status Rating Scalestau Proteins7-(6-fluoropyridin-3-yl)-5H-pyrido(4,3-b)indoleAmyloid beta-PeptidesAniline CompoundsCarbolinesEthylene Glycolsflorbetapirtau ProteinsAlzheimer’s diseaseamyloid beta-peptidescerebrospinal fluid proteinspositron emission tomographytau proteins

Identifiers

PMID28800330
PMCPMC5612013
OpenAlexW2744157997

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.