Evidence map›Paper›PMID 29739861›Full record

ReviewDisease models & mechanisms2018

Molecular biomarkers of Alzheimer's disease: progress and prospects.

Tammaryn Lashley, Jonathan M Schott, Philip Weston, Christina E Murray, Henny Wellington, Ashvini Keshavan, Sandrine C Foti, Martha Foiani, Jamie Toombs, Jonathan D Rohrer and 2 more

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Disease models & mechanisms, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05020626 (Modelling Tau Deposition and Distribution From Diffusion Tensor Imaging With Generative Adversarial Network for Alzheimer's Disease Diagnosis), which is not on this map. Cited by 97 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 2 pooled it
18.0field-weighted citation impact, top 1% 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.

NCT05020626 recruitingnot on this mapstarted 2021, after this paper: background citation

Modelling Tau Deposition and Distribution From Diffusion Tensor Imaging With Generative Adversarial Network for Alzheimer's Disease Diagnosis

TypeobservationalSponsorChinese University of Hong KongRan2021 to 2025Enrolled250ConditionsAlzheimer's Disease Diagnosis
3 · Its place in the literature

Who cites it

97 citing papers in PubMed, 2 syntheses or guidelines pooled it, 229 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Vitamin DInternational journal of molecular sciences · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Improvement effects of cyclic peptides fromFood science and biotechnology · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. Article

37 more citing papers are in PubMed but not listed here.

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

12 authors at 3 institutions in 2 countries.

Tammaryn LashleyQueen Square Brain Bank for Neurological Disorders, Department of Molecular Neuroscience, UCL Institute of Neurology, London WC1N 3BG, UK.
Jonathan M SchottDementia Research Centre, UCL Institute of Neurology, London WC1N 3BG, UK.
Philip WestonDementia Research Centre, UCL Institute of Neurology, London WC1N 3BG, UK.
Christina E MurrayQueen Square Brain Bank for Neurological Disorders, Department of Molecular Neuroscience, UCL Institute of Neurology, London WC1N 3BG, UK.
Henny WellingtonDepartment of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK.
Ashvini KeshavanDementia Research Centre, UCL Institute of Neurology, London WC1N 3BG, UK.
Sandrine C FotiQueen Square Brain Bank for Neurological Disorders, Department of Molecular Neuroscience, UCL Institute of Neurology, London WC1N 3BG, UK.
Martha FoianiDepartment of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK.
Jamie ToombsDepartment of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK.
Jonathan D RohrerDementia Research Centre, UCL Institute of Neurology, London WC1N 3BG, UK.
Amanda HeslegraveDepartment of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK.
Henrik ZetterbergDepartment of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK henrik.zetterberg@gu.se.ORCID 0000-0002-4671-6763
UK Dementia Research Institute · GBWellcome Centre for Human Neuroimaging · GBSahlgrenska University Hospital · SE

Funding

Medical Research Council MR/M008525/1Wellcome Trust
6 · The paper itself

Abstract

The neurodegenerative disorder Alzheimer's disease is characterised by the formation of β-amyloid plaques and neurofibrillary tangles in the brain parenchyma, which cause synapse and neuronal loss. This leads to clinical symptoms, such as progressive memory deficits. Clinically, these pathological changes can be detected in the cerebrospinal fluid and with brain imaging, although reliable blood tests for plaque and tangle pathologies remain to be developed. Plaques and tangles often co-exist with other brain pathologies, including aggregates of transactive response DNA-binding protein 43 and Lewy bodies, but the extent to which these contribute to the severity of Alzheimer's disease is currently unknown. In this 'At a glance' article and poster, we summarise the molecular biomarkers that are being developed to detect Alzheimer's disease and its related pathologies. We also highlight the biomarkers that are currently in clinical use and include a critical appraisal of the challenges associated with applying these biomarkers for diagnostic and prognostic purposes of Alzheimer's disease and related neurodegenerative disorders, also in their prodromal clinical phases.

Indexed as

Alzheimer DiseaseAnimalsAxonsBiomarkersHumansNerve DegenerationNeurogliaSynapsesBiomarkersAlzheimer's diseaseAmyloidBiomarkersBloodCerebrospinal fluidNeurofilamentNeurograninPlasmaSerumTau

Identifiers

PMID29739861
PMCPMC5992610
OpenAlexW2799819209

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.