Evidence map›Paper›PMID 32469871›Full record

ArticlePloS one2020

Retinal nerve fiber layer thickness predicts CSF amyloid/tau before cognitive decline.

Samuel Asanad, Michele Fantini, William Sultan, Marco Nassisi, Christian M Felix, Jessica Wu, Rustum Karanjia, Fred N Ross-Cisneros, Abhay P Sagare, Berislav V Zlokovic and 6 more

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2020. 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 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
–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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Ocular changes as potential biomarkers for early diagnosis of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Alzheimer's disease pathophysiology in the Retina.Progress in retinal and eye research · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Schizophrenia in Translation: Why the Eye?Schizophrenia bulletin · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Samuel AsanadDoheny Eye Institute, Los Angeles, CA, United States of America.
Michele FantiniDoheny Eye Institute, Los Angeles, CA, United States of America.
William SultanDoheny Eye Institute, Los Angeles, CA, United States of America.
Marco NassisiDoheny Eye Institute, Los Angeles, CA, United States of America.
Christian M FelixDepartment of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Jessica WuDepartment of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Rustum KaranjiaDoheny Eye Institute, Los Angeles, CA, United States of America.
Fred N Ross-CisnerosDoheny Eye Institute, Los Angeles, CA, United States of America.
Abhay P SagareDepartment of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
Berislav V ZlokovicDepartment of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
Helena C ChuiDepartment of Neurology, University of Southern California, Los Angeles, CA, United States of America.
Janice M PogodaCipher Biostatistics & Reporting, Reno, NV, United States of America.
Xianghong ArakakiHuntington Medical Research Institutes, Pasadena, CA, United States of America.
Alfred N FontehHuntington Medical Research Institutes, Pasadena, CA, United States of America.
Alfredo A SadunDoheny Eye Institute, Los Angeles, CA, United States of America.
Michael G HarringtonHuntington Medical Research Institutes, Pasadena, CA, United States of America.ORCID 0000-0002-7923-8032

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
VASCULAR RISK AND COGNITIVE STATUS IN A LATINO POPULATIONP50AG005142 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARANDA, MARIA P. · 1985 to 2019
$41.0M
Vascular Contributions to Dementia and Genetic Risk Factors for Alzheimer's DiseaseP01AG052350 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Daniel A Nation, ARTHUR W TOGA · 2016 to 2026
$28.4M
NCATS NIH HHS UL1 TR001855NIA NIH HHS P01 AG052350NIA NIH HHS P50 AG005142
6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) pathology precedes symptoms and its detection can identify at-risk individuals who may benefit from early treatment. Since the retinal nerve fiber layer (RNFL) is depleted in established AD, we tested whether its thickness can predict whether cognitively healthy (CH) individuals have a normal or pathological cerebrospinal fluid (CSF) Aß42 (A) and tau (T) ratio.

methodsAs part of an ongoing longitudinal study, we enrolled CH individuals, excluding those with cognitive impairment and significant ocular pathology. We classified the CH group into two sub-groups, normal (CH-NAT, n = 16) or pathological (CH-PAT, n = 27), using a logistic regression model from the CSF AT ratio that identified >85% of patients with a clinically probable AD diagnosis. Spectral-domain optical coherence tomography (OCT) was acquired for RNFL, ganglion cell-inner plexiform layer (GC-IPL), and macular thickness. Group differences were tested using mixed model repeated measures and a classification model derived using multiple logistic regression.

resultsMean age (± standard deviation) in the CH-PAT group (n = 27; 75.2 ± 8.4 years) was similar (p = 0.50) to the CH-NAT group (n = 16; 74.1 ± 7.9 years). Mean RNFL (standard error) was thinner in the CH-PAT group by 9.8 (2.7) μm; p < 0.001. RNFL thickness classified CH-NAT vs. CH-PAT with 87% sensitivity and 56.3% specificity.

conclusionsOur retinal data predict which individuals have CSF biomarkers of AD pathology before cognitive deficits are detectable with 87% sensitivity. Such results from easy-to-acquire, objective and non-invasive measurements of the RNFL merit further study of OCT technology to monitor or screen for early AD pathology.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseAmyloid beta-PeptidesAmyloidosisBiomarkersCognitive DysfunctionFemaleHumansMaleMiddle AgedNerve FibersOptic DiskRetinaRetinal Ganglion Cellstau ProteinsAmyloid beta-PeptidesBiomarkerstau Proteins

Identifiers

PMID32469871
PMCPMC7259639

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Registered trials

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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.