Evidence map›Paper›PMID 38460402›Full record

ArticleVision research2024

Retinal response to light exposure in BEST1-mutant dogs evaluated with ultra-high resolution OCT.

Vivian Wu, Malgorzata Swider, Alexander Sumaroka, Valerie L Dufour, Joseph E Vance, Tomas S Aleman, Gustavo D Aguirre, William A Beltran, Artur V Cideciyan

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Vision research, 2024. 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Canine models of inherited retinal diseases: from neglect to well-recognized translational value.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Vivian WuCenter for Hereditary Retinal Degenerations, Scheie Eye Institute, Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Malgorzata SwiderCenter for Hereditary Retinal Degenerations, Scheie Eye Institute, Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Alexander SumarokaCenter for Hereditary Retinal Degenerations, Scheie Eye Institute, Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Valerie L DufourDivision of Experimental Retinal Therapies, Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Joseph E VanceSpective LLC, Durham, NC, United States.
Tomas S AlemanCenter for Hereditary Retinal Degenerations, Scheie Eye Institute, Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Gustavo D AguirreDivision of Experimental Retinal Therapies, Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States.
William A BeltranDivision of Experimental Retinal Therapies, Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Artur V CideciyanCenter for Hereditary Retinal Degenerations, Scheie Eye Institute, Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States. Electronic address: cideciya@pennmedicine.upenn.edu.
Penn Presbyterian Medical Center · USUniversity of Pennsylvania · US

Funding

MODELS OF HEREDITY RETINAL DEGENERATIONR01EY006855 · NEI · UNIVERSITY OF PENNSYLVANIA · PI GUSTAVO David AGUIRRE, William A. Beltran · 1992 to 2026
$20.7M
Scientific TransparencyP30EY001583 · NEI · UNIVERSITY OF PENNSYLVANIA · PI Gui-shuang Ying · 1985 to 2026
$19.5M
PENN Vision Clinical Scientist ProgramK12EY015398 · NEI · UNIVERSITY OF PENNSYLVANIA · PI JOSHUA L DUNAIEF · 2004 to 2026
$11.7M
NEI NIH HHS K12 EY015398NEI NIH HHS P30 EY001583NEI NIH HHS R01 EY006855
6 · The paper itself

Abstract

Mutations in BEST1 cause an autosomal recessive disease in dogs where the earliest changes localize to the photoreceptor-RPE interface and show a retina-wide micro-detachment that is modulated by light exposure. The purpose of this study was to define the spatial and temporal details of the outer retina and its response to light with ultra-high resolution OCT across a range of ages and with different BEST1 mutations. Three retinal regions were selected in each eye: near the fovea-like area, near the optic nerve, both in the tapetal area, and inferior to the optic nerve in the non-tapetal area. The OS+ slab thickness was defined between the peak near the junction of inner and outer segments (IS/OS) and the transition between basal RPE, Bruch membrane, choriocapillaris and proximal tapetum (RPE/T). In wildtype (WT) dogs, two tapetal regions showed additional hyperscattering OCT peaks within the OS+ slab likely representing cone and rod outer segment tips (COST and ROST). The inferior non-tapetal region of WT dogs had only one of these peaks, likely ROST. In dogs with BEST1 mutations, all three locations showed a single peak, likely suggesting optical silence of COST. Light-dependent expansion of the micro-detachment by about 10 um was detectable in both tapetal and non-tapetal retina across all ages and BEST1 mutations.

Indexed as

RetinaTomography, Optical CoherenceAnimalsDogsRetinal Cone Photoreceptor CellsVision, OcularBestrophinopathyPhotoreceptorsRPE

Identifiers

PMID38460402
PMCPMC11009038
OpenAlexW4392612890

What OpenQuestion holds

Textmetadata
LicenceTDM
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.