Evidence map›Paper›PMID 28387668›Full record

ArticleJournal of Alzheimer's disease : JAD2017

Quantitative 3D Telomeric Imaging of Buccal Cells Reveals Alzheimer's Disease-Specific Signatures.

Angeles Garcia, Shubha Mathur, Maria Carmela Kalaw, Elizabeth McAvoy, James Anderson, Angela Luedke, Justine Itorralba, Sabine Mai

Abstract read
PubMed Full text at PMC Publisher
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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Buccal Mucosa Biomarkers in Alzheimer's Disease.Advances in experimental medicine and biology · 2020
    Review
  3. Telomere Attrition in Neurodegenerative Disorders.Frontiers in cellular neuroscience · 2020
    Article
  4. Review
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

8 authors.

Angeles GarciaDepartment of Medicine (Geriatrics) and Neuroscience Centre, Queen's University, Kingston, ON, Canada.
Shubha MathurManitoba Institute of Cell Biology, The University of Manitoba, CancerCare Manitoba, Winnipeg, MB, Canada.
Maria Carmela KalawManitoba Institute of Cell Biology, The University of Manitoba, CancerCare Manitoba, Winnipeg, MB, Canada.
Elizabeth McAvoyDepartment of Medicine (Geriatrics) and Neuroscience Centre, Queen's University, Kingston, ON, Canada.
James AndersonDepartment of Medicine (Geriatrics) and Neuroscience Centre, Queen's University, Kingston, ON, Canada.
Angela LuedkeDepartment of Medicine (Geriatrics) and Neuroscience Centre, Queen's University, Kingston, ON, Canada.
Justine ItorralbaDepartment of Medicine (Geriatrics) and Neuroscience Centre, Queen's University, Kingston, ON, Canada.
Sabine MaiManitoba Institute of Cell Biology, The University of Manitoba, CancerCare Manitoba, Winnipeg, MB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study validates and expands on our previous work that assessed three-dimensional (3D) nuclear telomere profiling in buccal cells of Alzheimer's disease (AD) patients and non-AD controls (Mathur et al., J Alzheimers Dis 39, 35-48, 2014). While the previous study used age- and gender-matched caregiver controls, the current study consented a new cohort of 44 age- and gender-matched healthy non-caregiver controls and 44 AD study participants. 3D telomeric profiles of buccal cells of AD patients and their non-AD controls were examined with participant information blinded to the analysis. In agreement with our previous study, we demonstrate that 3D telomeric profiles allow for the distinction between AD and non-AD individuals. This validation cohort provides an indication that the total number of 3D telomeric signals and their telomere lengths may be a suitable biomarker to differentiate between AD and non-AD and between mild, moderate, and severe AD. Further studies with larger sample sizes are required to move this technology further toward the clinic.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseAnalysis of VarianceCase-Control StudiesFemaleHumansImaging, Three-DimensionalMaleMouth MucosaOptical ImagingPsychiatric Status Rating ScalesTelomereAlzheimer’s diseasebuccal cellstelomeres

Identifiers

PMID28387668
PMCPMC5438476

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.